Embedded systems [IEEE-2018] Projects

Code Number TITLE Abstract
SH19ES001 Real-Time Embedded System for Gesture Recognition
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Abstract:-Recognition from body movement is a challenging domain of research that lies at an intersection of machine learning, biometric security and cognitive functions domain. It can be highly beneficial for expert systems, lie detectors, border control, medical emergencies, as well as search and rescue operations. This paper describes a first prototype of a real-time system capable of recognizing four gestures that correlate to human emotions based on the arm movements. Features extracted from the 3D skeleton using Kinect v2 sensor are classified using an SVM method. The system is tested in real-time on a Kinect database with the embedded system using an optimized algorithm for skeleton extraction in real-time. Keywords—Kinect sensor, Embedded system, Real time, Machine learning, Biometric system, Cognitive systems, Gesture.

SH19ES002 FPGA-Based Embedded System Implementation of Audio Signal Alignment
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Abstract:- FPGAs are considered a valuable solution for embedded system applications thanks to their performance, energy efficiency and capability to face system failures. However, the number of available applications is limited due to the learning curve needed to customize FPGA-based accelerators. As proof of this, Xilinx recently released PYNQ, a platform for Zynq SoC that relies on Python and overlays to ease the integration of functionalities of the programmable logic into applications. In this work, we build upon this framework to implement an optimized embedded design for audio alignment and we integrated it in the Python applications workflow. In particular, we provide a custom accelerator designed for PYNQ and the software interface to transparently exploit the programmable logic from the Python code runs on the embedded CPU. We then compare the executions on two different devices: the PYNQ-Z1 and the Raspberry Pi 3. Our FPGA accelerated implementation is able to reach a speedup of 12.4x with respect to the PYNQ-Z1, when only the CPU is used, and a speedup of 5.5x with respect to the Raspberry Pi 3 version.

SH19ES003 Designing Secure and Resilient Embedded Avionics Systems
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Abstract:- .

SH19ES004 Design of Embedded Monitoring System for Large-Scale Grain Granary
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Abstract:-The scientific and effective storage of grain has a very important significance for the country. On the basis of analyzing the present situation of the traditional granary monitoring technology, a new network embedded granarymonitoring system is designed based on STM32F103C8T6 processor and CAN bus, combining with the actual functional requirements of large-scale granary monitoring. The proposed granary monitoring system realizes real-time data transmission and monitoring of the environmental parameters such as temperature, humidity, and grain reserves. The hardware circuit of each module of the lower computer is given. And the driver program of the lower computer is developed. In the host computer part, the monitoring interface of the remote host computer is designed on PC. Meanwhile, the proposed granary monitoring system has the function of alarm and prompts. The test results show that the embedded granary monitoring system has good stability and reliability. The new monitoring system for large-scale granary based on STM32 processor can monitor the current grain situation more accurately and quickly. Keywords-embedded system; STM32; grain granary; monitoring system.

SH19ES005 Design Of Embedded Vehicle Terminal System Based On ȣC/OS-ϩ
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Abstract:- A vehicle terminal monitoring system based on GPRS and GPS is designed to meet the demand of real time and multitask. The hardware design method is introduced with S3C44BOX.Software structure, application multitasks and priority are designed based on μ C/OS- Ċ. The communication and synchronization methods are introduced emphatically with semaphores, mailboxes and event flags group.The test shows the system can run stably and reliably and achieve real- time vehicle monitoring.The design method has reference significance for embedded system development application. Keywords- vehicles; ­ C/OS- Ċ ; multitask; communication;GPRS (key words).

SH19ES006 Modeling and Characterization of VBUS Power Discharge for Embedded Superspeed USB Host/Devices
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Abstract:-After the expiry of serial ports for desktops and laptops, serial interface came into picture and out of serial interface USB (superspeed USB) has become the most common peripheral interface. In addition, built-in (embedded) USB applications are on the rise around the world. But development teams that implement the USB interface in the embedded system can easily produce slight variations such that interoperability with other USB devices could result in uncertain results. These uncertain results generally lead to the enumeration as well as data transfer failures in the embedded system. Sometimes, enumeration failure occurs due to system power management efforts. In an embedded system, it might be desirable to have a USB host dynamically power down an attached USB device as part of its power management scheme. The problem is, the USB 2.0/3.x specification does not provide for a discharge mechanism on the host/device side for VBUS power. Till now no analytical estimation has been provided for this limitation. In this paper mathematical modeling and its characterization has been done to resolve above limitation. Electrical characterization of VBUS power discharge mechanism is explored extensively to determine discharge time. This mathematical model has been developed to help embedded system developer and designer to get exact discharge time for their system according to their devices used. Further this model and its characterized results have been verified using circuit simulation as well as at real 16nm SoC as USB 2.0/3.x host and four USB implementers Forum (USBIF) certified devices. First time this kind of analytical estimation has been provided through mathematical modeling and characterization. Index Terms—Post Silicon Validation, Analog Bench Validation, Superspeed USB, USB 3.x, Serial Interface, Modeling, VBUS Power Discharge. .

SH19ES007 Design of Real-Time FPGA-based Embedded System for Stereo Vision
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Abstract:-This paper describes a novel heterogeneous SoC FPGA-based embedded system for stereo vision. Two complete implementations are presented and characterized. In both designs the auxiliary computations, such as the image rectification and the disparity map refinement, are performed by the custom hardware module purpose-designed to compute disparity maps, thus achieving very high speeds. The software routine run by the on-chip general-purpose processor is used to control configuration and communication. Obtained results show that, in comparison with several existing hardware designs, the proposed system reaches higher performances, competitive accuracies, lower complexity and higher flexibility. Keywords—Embedded system, System on Chip, Stereo Vision, Disparity map, Image Processing.

SH19ES008 Multithreading Design for an Embedded Irrigation System Running on Solar Power
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Abstract:- Technologies of irrigation systems are developed with a focus on intelligent water management, advanced features and remote control of solar photovoltaic watering systems (SPVWSs). The new generation of inexpensive microcontrollers comes with high level of computation capability and provides low-cost solutions. In this direction, this paper presents a new multithreading design and implementation of an embedded irrigation system running on solar power. The design combines the advanced concepts of concurrency programming, namely multithreading and virtual timers, with the embedded computing resources of smart devices. According to the design and test results through an experimental greenhouse, this device provides an accuracy real-time management of all activities of the SPVWS with eventually a low power consumption. Keywords— greenhouse; java platform; embedded system; multithreading design; solar irrigation.

SH19ES009 Embedded System Integration on GaneshBlue Underwater Glider
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Abstract:- GaneshBlue Underwater Glider is a gliding AUV used for surveillance whom using water buoyancy and volume shifting to enact gliding movement in the water. This paper focuses on embedded system design and implementation on GaneshBlue, including implementation of control mechanism in gliding movement. Embedded system designed to accommodate several subsystems in GaneshBlue device, and integrate it into a bigger complete system. Systems will be built with multithread capabilities as some subsystem like communication and control should be operated in a tight time constraint. System using several computing boards to accommodate system blocks used in GaneshBlue. Keywords—AUV, Glider, Embedded System, Automation.

SH19ES010 Syndrome: Spectral Analysis for Anomaly Detection on Medical IoT and Embedded Devices
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Abstract:- Abstract—Recent advances in embedded and IoT (internet-of-things) technologies are rapidly transforming health-care solutions and we are headed to a future of smaller, smarter, wear- able and connected medical devices. IoT and advanced health sensors provide more convenience to patients and physicians. Where physicians can now wirelessly and automatically monitor patient’s state. While these medical embedded devices provide a lot of new opportunities to improve the health care system, they also introduce a new set of security risks since they are connected to networks. More importantly, these devices are extremely hardware- and power-constrained, which in turn makes securing these devices more complex. Implementing complex malware detectors or anti-virus on these devices is either very costly or infeasible due to these limitations on power and resources. In this paper, we propose a new framework called SYNDROME for “externally" monitoring medical embedded devices. Our malware detector uses electromagnetic (EM) signals involuntary generated by the device as it executes a (medical) application in the absence of malware, and analyzes them to build a reference model. It then monitors the EM signals generated by the device during execution and reports an error if there is a statistically significant deviation from the reference model. To evaluate SYNDROME, we use open-source software to implement a real-world medical device, called a Syringe Pump, on a variety of well-known embedded/IoT devices including Arduino Uno, FPGA Nios II soft-core, and two Linux IoT mini-computers: OlimexA13 and TS-7250. We also implement a control-flow hijack attack on SyringePump and use SYNDROME to detect and stop the attack. Our experimental results show that using SYNDROME, we can detect the attack for all the four devices with excellent accuracy (i.e. 0% false positive and 100% true positive) within few milliseconds after the attack starts. Index Terms—Hardware Security, Malware Detection, Internet-of-Things, Embedded System.

SH19ES011 Embedded Electrohydraulic Controller with Digital Valve Actuation for Steering of Heavy Duty Machine
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Abstract:- The paper investigates an embedded system for automatic electrohydraulic steering of heavy duty machines (loaders, construction machines). Based on two identified nonlinear models of the steering unit two correspondent sets of PI regulator parameters are calculated with iterative optimization procedure in MATLAB/Simulink environment. Calculated regulator parameters are evaluated on a physical test bench composed of steering cylinder, hydraulic steering unit with integrated digital valve actuation and industrial class microcontroller. Achieved performance of position tracking defends digital valve technology as a low cost alternative to classical spool/sleeve based steering. Keywords - electrohydraulic control; embedded system design; nonlinear modelling; controller design.

SH19ES012 HEPSIM: an ESL HW/SW Co-Simulator/Analysis Tool for Heterogeneous Parallel Embedded Systems
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Abstract:- Heterogeneous devices are becoming widely diffused in the embedded system domain, mainly because of the opportunities to increase application execution performance and, at the same time, to substantially reduce energy consumption. In such a context, this work faces the role of HW/SW co- simulators/analysis tools for embedded systems based on heterogeneous parallel architectures. In particular, it presents a SystemC-based tool for functional/timing HW/SW co-simulation and analysis within a reference ESL HW/SW co-design flow. The description of the main features of the tool, the main design and integration issues and an illustrative case study represent the core of the paper. Electronic System-Level Design; HW/SW Co-Design; Parallel Embedded Systems; Heterogeneous Systems.

SH19ES013 Cloud based mobile application for remote control of intelligent wheelchair
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Abstract:- M-health is a new paradimg that includes several disciplines such as mobile computing and medical sensors dedicated for healthcare services. The quick progress of these disciplines of mobile computing systems and the new means of communication have revolutionized the deal in many areas and are now raising great hopes in the field of health and especially for persons with reduced mobility. Such persons require specific care and material such as electrical wheelchairs. These systems have remained too conventional and have not taken full advantage of technological and scientific progress. Many of them are hard to command and accidents are too frequent especially for highly disabled persons. To provide safe driving conditions, we propose a new cloud based wheelchair assist system to support impaired persons. In this paper, we propose firstly a novel human machine interface developed on an embedded mobile SoC to efficiently control a wheelchair. Secondly, we project an Android based mobile application to remotely monitor handicapped. This control via internet connectivity is ensured through a multimedia 3D interface developed on an Android mobile smartphone. Index Terms— Mobile healthcare, smart wheelchair, information technology, remote control, android device, 3D interface,multimedia.

SH19ES014 Interoperability for Embedded Systems in JFML Software: An Arduino-based implementation
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Abstract:- Fuzzy Logic Systems have been successfully used in a wide range of real-world problems. They can include a priori expert knowledge and represent systems for which it is not possible to obtain a mathematical model. The standard IEEE Std 1855TM-2016 was established to provide the fuzzy community with a unique and well-defined tool allowing a fuzzy logic system design completely independent from the specific hardware/software. Recently, the library Java Fuzzy Markup Language (JFML) offers a complete implementation of the standard, however, the actual version of the JFML does not support the development of fuzzy inference systems on specific types of hardware. The aim of this paper is to develop an interoperability module to design and running FLS for embedded systems in JFML, concretely for Arduino boards. In addition, a communication protocol between JFML and Arduino boards is also defined, removing the limited computing capacity usually offered by embedded systems. A case study with a wall-following fuzzy controller to manage a mobile robotic in two environments is developed in order to illustrate the potential of the new interoperability module. Index Terms—Fuzzy Logic Systems, Embedded Systems, Java Fuzzy Markup Language, IEEE std 1855TM-2016, Open Source Software, Arduino..

SH19ES015 Low-cost Embedded Control System for Environmental Monitoring
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Abstract:-The paper presents an application of a low-cost microcontroller-based system for monitoring and controlling over the Ethernet the physical parameters such as temperature and air quality. The proposed solution is destined for controlling ventilation of a manufacturing workshop by constant reading the temperature and dust sensors and controlling the opening angle of ventilation hatches. The implementation of Ethernet communication between a LabVIEW virtual instrument running on a PC computer and a microcontroller-embedded system is based on a client-server model. The server is developed on an 8-bit microcontroller connected over the SPI interface with the Ethernet controller executing the functions of the TCP/IP protocol. The client application is developed in LabVIEW environment using the state machine architecture. Keywords— embedded system; client-server architecture; virtual instrument, LabVIEW.

SH19ES016 Extended Model of Secure Communication for Embedded Systems with IoT and MQTT
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Abstract:- This article deals with a model of secure communication for embedded devices via Internet of Things. The main focus is paid on MQTT application protocol, which is well known and broadly used. New extended model is based on the new cryptographic methods and optional additional measures on the application layer. These measures, in addition to standard MQTT protocol features, can contribute to reach the required level of secure communication. Keywords -IoT;SSL/TSL;MTTQ;AMQP;WSN;Cloud.

SH19ES017 Dual Axis Solar Sun Tracking System Based on GPS Satellite Receiver and Embedded System
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Abstract:- In this paper a solar sun tracking system for two axes solar cell is designed and implemented. The system derived by tow motors controlled by micro- controller. To achieve the sun tracking, three types of sun tracking methods is used. The first one is depending on the location of the tracker system this method requires embedded system, GPS system and mathematical calculation equation. The second type use sensor system to scan the horizontal and vertical axis to find out the locations of the sun and send its data to computing system. The third type is just depending on the time that is determined by computing system to drive the tracker. A data acquisition system and graphical user interface (GUI) software is designed to measuring and plotting all the data of the system. The result is compared with international software tracking program. Keywords—Solar Tracker, GPS, GUI, Embedded System, Data Acquisition System.

SH19ES018 REAL-TIME EAR DETECTION BASED ON EMBEDDED SYSTEMS
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Abstract:- Ear detection is the first step of ear recognition. This paper proposes a real-time ear detection system based on embedded systems. An improved YOLO network is proposed for ear detection. With the same network depth, the width of the improved yolov2-tiny network in YOLO has been reduced to a quarter of the conventional network. By introducing batch processing and reducing the regularization coefficient of the improved yolov2-tiny network, the detection accuracy has been improved and the detection time has been reduced. The proposed model is more applicable for embedded implementation. On Nvidia Jetson tx2 real-time detection of the ear has been realized. The image is captured by an external camera and the ear will be marked when the ear appears in the image. On Nvidia Jetson tx2, the real-time detection frame rate is 30 frames per second which can meet the real-application requirements. Keywords: Ear detection; embedded device; Real-time; YOLO.

SH19ES019 Codesign of energy and resource efficient contention-free Network-on Chip for real-time embedded systems
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Abstract:-Network-on-Chip (NoC) architectures increasingly gain attention of the academia and the industry, because of their excellent capabilities of Multiprocessor System-on-Chip building. This work presents a novel approach to application-specific irregular topology generation for contention-free and cost- efficient NoC. We take advantage of a priori known communication pattern to schedule computation and transmission as well as perform routing, taking into account time constraints of the system. The experiments confirm the superiority of our method over commonly used application-to-NoC mapping methodologies. Performance of the system is not deteriorated, while we observe significant resource savings. Keywords— Network on Chip, embedded system, real time system, codesign .

SH19ES020 Web Based Animal Tracker System
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Abstract:- In this study, a modular embedded system designed and implemented which allows the analysis of animals in living areas with GPS signals.Arduino Uno R3, GSM and GPS cards are used in the designed system.The GPS data provided by the system is recorded via web service.Thanks to the prepared web site, maps are instantly and regionally marked on the map using Google Maps API and presented to the user. GPS signals on the system are successfully recorded in a database in 30 seconds. Keywords—Arduino, Tracking System, AT Commands, GPS, GSM, Embedded System.

SH19ES021 Adaptive Control Implemented with Embedded Systems
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Abstract:-In this research paper, we describe the implementation of an adaptive control algorithm for programmed gains, applied to a liquid level signal. The driver has been embedded in an ARDUINO business card. A test plant was used to perform the control tests. Two different models were obtained for the plant and the performance analysis of the two models was carried out, compared to the performance of the testing plant. Finally, the diagrams and results obtained in the simulations as well as in the real plant are shown. Keywords— Adaptive Control, Embedded System, Gain Scheduling, Level Control. .

SH19ES022 A Neural Network embedded system for real-time identification of EMG signals
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Abstract:-The objective of this work is to develop an embedded Artificial Neural Network (ANN) for the identification in real-time of the electromyography signal patterns (EMG). This system is going to be applied as an interface device between the user and a robotic prosthesis for upper limb. The methodology begins with the characterization of the extraction of the EMG signal: location of the sensors, sampling and definition of patterns; then the architecture and characteristics of the ANN are defined; then the ANN is implemented in an embedded system; and, finally, the cross-validation and validation in real time of the proposed system is carried out, by means of confusion matrices. The embedded ANN implemented is of the multilayer perceptron type, has 3 hidden layers, 27 neurons input layer, 4 neurons output layer, Fedforward architecture, sigmoid type transfer function, MSE error function and Backpropagation algorithm. In the evaluation of the system it was obtained that the average accuracy of the embedded ANN is higher than 97.7%, which confirms the reliability of using this type of systems as interface devices between a user and a robotic prosthesis. This development has a high practical implication, since an intelligent system is miniaturized, and can be part of any portable hardware device in an edge computing system. Keywords—Artificial Neural Network, EMG signal, patterns recognition, backpropagation, embedded system, robotic prosthesis. .

SH19ES023 Cifar-10 Image Classification with Convolutional Neural Networks For Embedded Systems
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Abstract:-Convolutional Neural Networks (CNN) have been successfully applied to image classification problems.Although powerful, they require a large amount of memory. The purpose of this paper is to perform image classification using CNNs on the embedded systems, where only a limited amount of memory is available. Our experimental analysis shows that 85.9% image classification accuracy is obtained by our framework while requiring 2GB memory only, making our framework ideal to be used in embedded systems. Index Terms—Convolutional Neural Network, Deep Neural Network,Machine Learning, Image Classification.

SH19ES024 Connected Component Analysis for Traffic Sign Recognition Embedded Processing Systems
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Abstract:- This paper presents a novel Connected Component Analysis hardware architecture suitable for high-performance heterogeneous image processing embedded systems. The target application referenced along the work is the Automated Traffic Sign Recognition for next generation Advanced Driver-Assistance Systems. In such a field, a high throughput rate is mandatory to obey high-speed camera input frame rate. The proposed architecture executes a complete Connected Component Analysis by just one scan of the input image; therefore, it reaches performances higher than several existing hardware designs. When implemented on a Xilinx Zynq Z7045 SoC, our design allows a throughput rate of 212 Mpixels/s to be reached using 18144 LUTs and 5005 FFs, which correspond to less than 9% and 1.5% of the available resources. Keywords—Connected Component Analysis, Embedded Systems, FPGA, SoC.

SH19ES025 Applying the MQTT Protocol on Embedded System for Smart Sensors/Actuators and IoT Applications
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Abstract:- This research presents implementation guidelines and techniques for applying the MQTT protocol on an embedded system to construct smart sensors/actuators and many IoT applications. The proposed system is based on a small and low-cost microcontroller. A firmware of the microcontroller is designed and implemented based on a custom operating system using the special technique. The powerful implementation technique is called the Asynchronous Event-Driven Non-Blocking I/O. All peripheral drivers used in the proposed system are implemented based on event-driven queue and callback functions. With this implementation approach, we can achieve the very high efficiency of the microcontroller. The proposed system can connect to the internet network using WiFi module of Ethernet Controller. It is fully evaluated in real-world environments and tested in many possible conditions. The experimental results show that the proposed system can work correctly as expected in all situations Keywords—mqtt; embedded systems; micocontroller; internet network; smart sensors; smart actuators internet-of-things.

SH19ES026 Embedded smart home networking gateway system design
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Abstract:- +IoT gateway has a very important significance in smart home systems .An embedded home networking gateway system is designed in this paper. The system is based on the embedded Linux operating system, IPv4 and IPv6 network protocol, an internal network information processing platform was implemented using ARM microprocessor S3C2410, EM310 RF module and DM9000A module. The platform makes use of existing network facilities, radio frequency modules and network interface modules to realize interconnection and intercommunication of home-aware networks through wireless or wired links. The designed system not only has the advantages of small size, low cost, low power consumption, but also has the characteristics of good real-time performance and high security, and is suitable for application in the home Internet of Things. Keywords—things gateways; intelligent home; embedded systems; network protocol.

SH19ES027 Model of Reducing the Power Consumption for Node of Wireless Sensor Network in Embedded Control Systems
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Abstract:-Model for reducing energy consumption in wireless sensor network is presented. Model of reducing the power consumption for node of wireless sensor network in embedded control systems. The operation of the wireless sensor network node is analyzed. Different models was analyzed for reducing energy consumption by node in wireless sensor network. The combination of a large number of nodes into a network, the requirements for minimizing the energy consumption of nodes and the network as a whole lead to the need for additional structural solutions when creating wireless sensor networks. The most important of these is network clustering, which also implies constant rotation of the cluster head node during the network life cycle. The proposed network structure with cluster unification in a piconet provides an advantage that is inherent in the hierarchical method of building wireless sensor networks. Keywords — wireless sensor network; power consumption of the node; embedded control systems; model of reducing the power consumption; CC2530.

SH19ES028 Automatic Sampling Time Adaptation for Networked Digital Controller based-on Embedded System
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Abstract:-The sampling time or sampling interval is the importance parameter for all embedded digital controllers. The sampling time of all digital controllers is normally defined as a fixed value, as low as possible. It is commonly known that the lower sampling time (high sampling rate) produces the higher control performance because the system can operate closed to the continuous-time system. However in networked control system, the lower sampling time required higher traffic load or higher bandwidth of the network. If the traffic load exceeds the bandwidth limitation of network, the packet loss and delay-time variation of the network are increased and the system performance will be decreased. In many digital controlled applications, the appropriate sampling time (dt) is need to be defined depended on the plant and limitation of the hardware. This research proposes an automatic adaptive sampling time for embedded networked control system. The sampling time will be continuously adapted to proper value to maintain the controller performance, save computational time,decrease traffic load, and reduce power consumption. The sampling time is changed based on the difference of reference input and output. The simulation results show that the proposed method can produce the output response with control performance’s criteria and can be used in both wire and wireless embedded networked control systems. Keywords—Adaptive sampling time, networked control system (NCS), embedded syste, digital controller.

SH19ES029 Traffic Condition Awareness using Kalman Filter Technique with the aid of Arduino and Matlab Embedded System
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Abstract:- Traffic congestion in the city of Dhaka is reaching anew pinnacle every day. Owing to numerous private cars and localbuses, the gridlocks in Dhaka city can be termed as one of the worst in the world. In a recent study done by Bangladesh University of Engineering and Technology(BUET) and Accident Research Institute (ARI), it was stated that around 5 million working hours are being lost every year in Dhaka city due to traffic gridlocks. This results in a loss of worth Tk.37,000 crore. In order to resolve this issue and help manage the gargantuan problem, we decided to tackle this by the implementation of Kalman Filter in order to predict the level of congestion at a particular road according to time variance of the day. The reason for using Kalman Filter is because its accuracy. Other reasons being that it can be simulated using Matlab and can be constantly updated using the latest data. Index Terms—Kalman Filter; Traffic Flow; Arduino embedded system; Traffic System.

SH19ES030 In-shoe Sensor System with an Embedded User Interface and Wearable Leg Unit
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Abstract:- In-shoe sensor systems are of great interest to monitor foot health, sports activities and rehabilitation strategies. Among the potential users are people with diabetes, a large part of the population for which monitoring foot pressure and temperature is critical to avoid ulceration, and even amputation. Despite all these reasons the use of foot monitoring devices is still uncommon compared to other accessories such as fitness tracking devices. This work describes the development of an instrumented insole for monitoring pressure, temperature and humidity taking advantage of widely available wearable components. This is made possible by additionally developing a shield board for time-division multiplexing of the pressure signals and an embedded user interface which is stored in the microcontroller’s memory and uploaded to a smartphone at start-up via Bluetooth Low Energy. The user interface runs on a smartphone to provide both real time monitoring and averages of sensor data. The system is described in detail and validated by monitoring pressure patterns during stance, by testing response to temperature variations and observing patterns in individuals with pes planus posture.

SH19ES031 Live Demonstration: Deep Learning-Based Visual Tracking of Multiple Objects on a Low-Power Embedded System
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Abstract:-Multiple object visual tracking of real time detected objects using a low-power embedded solution is shown. The proposal is implemented on a NVIDIA Jetson TX2 development kit demonstrating the feasibility of deep learning techniques for IoT and mobile edge computing applications.

SH19ES032 Embedded Systems Layout for Routing Planning in Smart Home
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Abstract:-Smart home highly relies on various sensors to provide services. The quality of services is proportional of the number of sensor. Generally, smart home splits space into few specific purpose spaces such as living room, dining room or bed room. One space may set up a set of heterogeneous sensors for alarm, monitor or intelligent service. The other spaces will refer previous space to deploy similar sensors and the number of sensor may be appropriately tuned in consideration better user experience. While homogeneous and heterogeneous sensors co- work, the mutual effect severely interfere the communication among sensors and receiver device. This work aims route for sensors to receiver device to propose routing planning strategy that is based on lee’s algorithm. One advantage is to obtain the shortest path. Another is to obtain the successful communication under many obstacles between sensor and receiver device. The other is to gain the parallel effect via characteristic of propagation in every direction among sensors to receiver devices. Finally, the achievements are demonstrated in simulation results of benchmarks. Keywords—routing planning; embedded system; layout software.

SH19ES033 Embedded Ventilation Air Conditioning System for Protection Purposes with IoT Control
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Abstract:- A smart Embedded Ventilation, Air Conditioning (EVAC) system is designed to produce a fully automated protection system. The proposed system aims to integrate air conditioning, ventilation, smoke extraction and protection system all together into a single smart embedded system that would contribute considerably to enhance protection and provides early warning for proactive safety solution in case of unpredictable indoor fire and smoke danger. Arduino integrated development environment and IoT platforms are used to accomplish the system by the mean of using sensors and control application. The system is equipped with smoke and temperature sensors to detect gases and high temperature; when the readings exceed the threshold value, the system automatically switch off the air conditioning system, run the smoke extraction fans, and flash series of warnings following a protection protocol simultaneously. The procedural description of the proposed system along with the prototype model is described in this paper. Testing results are shown by means of experimental reading and verification. Keywords—smart systems; IoT; Ventilation system, Arduino, sensor-based alarming.

SH19ES034 Low Power and Miniaturized Back-End Processing System for an L- Band Radiometer based on ARM Embedded Microprocessor
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Abstract:- This paper presents the design and construction of an ultra-low power and miniaturized back end system for processing real-time L-band radiometric data based on an ARM A8 embedded microprocessor. In the worst-case scenario, the power consumption has been measured at only 1.7 W and the size of the radiometer has been significantly reduced to a 30cm x 30cm x 10cm. The system was tested for different integration times, and high-level software optimizations were applied to the main program written in C, running on an embedded Linux OS to reduce the power even more, down to 1.52 W. This technological breakthrough will allow these systems to become portable, low cost, and be carried by small drones to scan a large area. Index terms — Low power; performance; Linux; C programming; embedded system; miniaturized radiometer.

SH19ES035 "A Low-cost Embedded Data Collection System for Traction Control Systems in Electric Vehicles"
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Abstract:- .

SH19ES036 A Robotic Vehicle System for Conveyor Inspection in Mining
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Abstract:- "Environments in mining are harsh and demandingto any equipment. This paper introduces a new rail-guidedrobotic vehicle system as a sensor carrier for inspection andcondition monitoring, specifically for belt conveyors mining. Itshows how mechanics, electronics, and embedded controls weredesigned and combined to a rugged mechatronic system withreliable motion performance and functionality. It alsodemonstrates the importance of 3D FDM printing as an enablingtechnology.Keywords—robust systems, mobile robots, rail vehicle, mining,mechatronic systems, embedded systems, sensors, 3D printing"

SH19ES037 "A low-cost monitoring system for maximum power point of a photovoltaic system using IoT technique"
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Abstract:-" Integrating the Internet of Things (IoT) technologyin solar photovoltaic (PV) systems is considered as an importantaspect for monitoring, supervising and performances evaluation.The main aim of this work is to design a low-cost monitoringsystem for the maximum power point tracking (MPPT) in a PVsystem. Two electronics board have been developed: a data-acquisition sensing and a DC-DC boost converter. The designedmonitoring board consists of an embedded board (Arduino Mega2560 based upon ATmega2560), current and voltage sensors,voltage regulator Mini BEC, LCD Display, and a WiFi moduleESP8266 to transmit the monitored data (IPV, VPV, VL, IL and D) onthe internet. In addition, a website has been also designed to storeand display the monitored data in real time. The designedprototype has been verified experimentally at Renewable EnergyLaboratory (REL) of Jijel University, Algeria. Based on themonitored data the users can check easily if the system works wellor not by just comparing the measured output power with the oneexpected by a model.Keywords— Photovoltaic, Monitoring, MPPT, IoT"

SH19ES038 The Design and Implementation of GPS Controlled Environment MonitoringRobotic System based on IoT and ARM
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Abstract:-"Environmental monitoring systems are oftendesigned to measure and log the current status of anenvironment or to establish trends in environmentalparameters. In this paper, We proposed an autonomousrobotic system that is designed and implemented to monitorenvironmental parameters such as temperature, humidity, airquality, and harmful gas concentration. The robot has GPScoordinates, and it can store data on the ThingSpeak IoTplatform. The mobile robot is controlled by a smartphonewhich runs an app built on the Android platform. The wholesystem is realized using a cost-effective ARM-based embeddedsystem called Arduino and Raspberry Pi which communicatesthrough a wireless network to the IoT platform, where dataare stored, processed and can be accessed using a computer orany smart device from anywhere. The system can updatesensor data to IoT server every 15 seconds. The stored data canbe used for further analysis of the reduction of pollution, saveenergy and provide an overall living environmentenhancement. The robotic system has designed for cost-effective remote monitoring environmental parameters withoutany human intervention to avoid health risk efficiently. Aproof-of-concept prototype has been developed to illustrate theeffectiveness of the proposed system.Keywords— ARM and Embedded system, Raspberry pi,Arduino, ThingSpeak, IoT, Air quality, Gas Sensor, GPS,Android App, Remote Monitoring."

SH19ES039 "Research on Automatic Driving System of Agricultural Machinery Based on Embedded"
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Abstract:-"In view of the shortage of resources in China, thedevelopment of people's increased land, the promotion ofagricultural production technology, and the importance ofensuring China's food security and enhancing agriculturalproductivity. This paper studies agricultural machineryautomatic driving control technology, integrates satellitepositioning, embedded software and hardware development,data communication, automatic control and other cutting-edgetechnologies to promote the development of modernagricultural intelligence, improve the level of modernagricultural information in China, and contribute to therealization of precision agriculture.Keywords—agricultural machinery automatic driving;embedded; modular".

SH19ES040 "Design and Implementation of an Embedded System to Observe the Atmospheric Condition using a Helium Balloon"
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Abstract:- " For conducting any space-related research suchas surveillance and communication, launching high powerrocket, geographical imaging or even space exploration, it isnecessary to know the optimal weather condition at differentlevels of the atmosphere. One of the most commonly usedmethods for measuring the atmospheric conditions is using aweather balloon. Of course, this can be done by using modern-day satellite technology. But satellite, for example, providestemperature only on the land surface. As a result, it limits thepossibility of providing accurate measurements ontemperature profile at different levels of atmosphere or windspeed of the jet stream. An embedded system consists ofdifferent sensors is capable of providing profiles oftemperature, pressure and relative humidity at differentaltitude with the help of a helium balloon. In this paper, wehave designed and implemented a remotely controlledembedded system. The RF transmitter is linked with thesensors on board of the balloon payload, which sends themeasurements back to a ground tracking antenna on a setradio frequency. The display section receives the transmitteddata for further processing and acquiring graphical results. Inprevious research papers on this topic, there was no graphicalrepresentation of acquired weather data from the experimentwhere we have discussed the outcome of the experiment withgraphical representation.Keywords— Weather balloon; high altitude balloon;stratosphere; sensors; GPS; embedded system; pressure,temperature, and humidity".

SH19ES041 "Intelligent Embedded Security control system for Maternity ward based on IoT and Face recognition"
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Abstract:- "Internet of things (IoT) is an advancing technologyfor the creation of smart world that has the capacity to provideautomation, safety and security through ubiquitouscommunication. The paper discusses various applications andworks of contemporary authors. It has been observed that largenumber of sensors, devices, and smartphones are connected tothe internet for providing personalized services like smart home,smart transportation, smart healthcare, etc. in this paper,Maternity ward security control system is proposed in whichdesign and development of maternity ward is based on humanface recognition and remote monitoring technology. The modelregulates the entry of person according to identity and genderwhich will help in providing the security. Face detection andrecognition algorithm is used for finding the identity and furtherwireless interface has been used for updating the database in caseof new person and further alert message is sent. In future, thedesign is implemented and results will be analyzed in real timescenario.Keywords—Embedded control system; face recognition; IoT;Maternity Ward."

SH19ES042 "DBTOR: A Dynamic Binary Translation Architecture for Modern Embedded Systems"
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Abstract:-"This article describes a dynamic binary translation(DBT) system specially tailored to fit resource-constrained em-bedded systems, detailing its design decisions and architecturalcomponents. Although designed to support a wide range of low-end architectures, to test its feasibility, we present and evaluatetwo distinct and widely known source and target architectures,commonly used in embedded systems. The performed evaluationsdemonstrate legacy Intel MCS-51 code running on a modern Armv7-M architecture (Cortex-M3) and shows the impact of usingDBT techniques on resource-constrained devices.Index Terms—Dynamic binary translation (DBT), Embed-ded systems, Computer architectures, dynamic compilation,Condition-code emulation, Instruction-set architecture (ISA)."

SH19ES043 Energy Efficient Embedded Systems for LED Lighting Control in Traffic
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Abstract:- " The paper considers, proposes and describespossibilities and ways for application, design and implementationof energy efficient microprocessor based embedded systems forLED lighting control in the traffic. Using LED lightingtechnology and appropriate designed embedded systems it ispossible to implement very efficient and smart systems for verywide range of applications in the traffic. This type of systems canbe widely used in many places in the traffic where there is neededquality lighting and low energy consumption. Application of suchsystems enables to increase energy consumption efficiency,quality of lighting and security of traffic and to decrease totalcosts for the lighting. Way of design and use of such digitalembedded system to effectively increase functionality andefficiency of lighting in the traffic is proposed and described. It isalso proposed and described one practically designed andimplemented simple and universal embedded system for LEDlighting control for many applications in the traffic.Keywords – LED technology; LED lighting; energy efficiency;microprocessor based embedded systems; lighting control in traffic."

SH19ES044 "Navigation Method in Non-Stationary Environment for Embedded Control System of Mobile Robots"
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Abstract:-" The technique of finding the optimal paths ofmovement and synchronization of moving for a scattered groupof ground mobile robots to a joint collection point located in anarea with dynamically changing environments is proposed. IoCprinciples for creating a software platform for the problem underconsideration are given and the algorithm of basicimplementation of route search in terrain for the loosely coupledarchitecture of the application is presented.Keywords- swarm intelligence; mobile robot control system;synchronization of mobile robots moving; navigation and routessearch; non-deterministic environment; IoC software platform;graph of territory".

SH19ES045 Smart Universal Multifunctional Digital Terminal/Portal Devices
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Abstract:- " This paper considers, proposes and describespossibilities and methods for design, implementation and usage ofsmart digital universal multifunctional terminal/portal devices inmany practical applications. Using digital electronic technologiesembedded in such devices it is possible to design and implementsmart digital terminals/portals for very wide variety of purposesof teller/counter type operations, where such digital machines canreplace human work. It is expected that this kind of digitaldevices will be in perspective widely used in all places where thereis needed a certain form of teller/counter services. Such places arefor example: banks, post offices, municipalities, companiesproviding services such as electricity and water distribution,hotels, schools, universities, parking places, theatres, cinemas,various types of transport, etc. Application of different types ofsuch embedded smart digital universal devices enables increasingefficiency, speed and security and decreased costs for all suchservices. It gives many benefits and advantages to the providersand to the users of such services. Way of design and use of suchdigital devices and technologies to effectively increasefunctionality and efficiency of teller/counter services is proposedand described. It is also proposed and described one practicallydesigned and implemented smart universal multifunctional digitalterminal/portal device for banking purposes.Keywords - digital electronic technologies; embedded systems;teller/counter type services; smart universal multifunctional digitalterminal/portal devices; banking smart digital terminal/portaldevice."

SH19ES046 Energy Efficiency of Embedded Controllers
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Abstract:-" One of the most important limitations to be consideredin the design phase of the embedded system is the energyconsumption. The energy consumption is more efficient, especiallyin the embedded devices fed by the battery, because the chargingtime is an obstacle to the use of the device. In addition, energyefficiency in terms of power dissipation and system health isimportant in other embedded applications such as biomedical, testand measurement, industrial control and robots. Reducing energyconsumption during the design phase of the embedded system isgenerally considered as the task of the hardware. In fact, thesoftware should also undertake the task of improving energyefficiency. In this research, the control algorithm of the embeddedsystem is written in two different methods and their energyconsumption was compared.Keywords-component; embedded controller; energy efficiency;PI control; PID control, Instructional-level energy estimation."

SH19ES047 "Energy Harvesting Meets IoT: Fuelling Adoption ofTransient Computing in Embedded Systems"
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Abstract:-"The emerging class of transient computing systemsenables computation to be sustained despite power outages dueto the variable nature of energy harvesting. However, existingapproaches are largely designed for specific architectures, andhence are not broadly applicable across different IoT devices.Emerging platforms based on portable, hardware-independentsoftware should rely on lightweight operating systems (OSs)designed specifically for embedded IoT applications, such asArm mbed OS and Contiki OS. To enable the widespread useof transient computing, transient approaches need to be inte-grated into these operating systems. In this paper, we discussthe challenges of providing software primitives for transientcomputing to facilitate hardware-independent implementationusing standard OS APIs, and present the integration of a state-of-art transient approach, Hibernus into mbed OS. This OS is chosendue to the large community of developers and the open-sourceIoT code availability. Transient computing is offered through amodular and layered structure that uses the available mbed OSAPIs, including different strategies for retaining the system statedesigned for different types of flash memory. To illustrate theapplicability of the proposed design, we implemented Hibernuson two mbed platforms with different flash memories, whichrespectively requires 4.7mF and 4.9mF of additional storage.Index Terms—Energy harvesting, Transient computing, Inter-net of Things, Arm mbed programming framework."

SH19ES048 "Performance Prediction Method for Embedded Systems Products"
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Abstract:-" In this paper stated human-centered design(HCD) method, it predicts and quantifies performancecharacteristics such as time performance and theprobability of human errors for Embedded SystemsProducts. The proposed method is based on Functional-Structure Theory (FST) of Man-Machine Systems (MMS)and Generalized Structural Method (GSM) of A.Gubinsky.Keywords - human-centered design, usability,performance prediction, functional-structure theory,embedded systems."

SH19ES049 "Towards Heterogeneous Computing Platforms forAutonomous Driving"
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Abstract:-" This paper introduces a new project: Research and Development of System on a Chip and Software Platforms for Autonomous Driving, started in April 2019. State-of-the-art high-end embedded platforms have trade-offs between general purpose processing and power consumption. In order to solve the trade-offs, this project develops heterogeneous computing platforms for autonomous driving. In particular, the heterogeneous computing platforms have a heterogeneous System on a Chip (SoC), which consists of Accelerated Processing Units for AI and robotic algorithms, multi-core CPUs for general-purpose processing, and many-core CPUs for real-time processing. This project also develops software platforms including compilers, operating systems, middleware, and applications for the heterogeneous SoC. The authors believe that this project contributes to early realize autonomous driving."

SH19ES050 "Automatic Food-Intake Monitoring System for Persons Living with Alzheimer’s-Vision-Based Embedded System"
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Abstract:-" Patients with Alzheimer’s and dementia aresuffering from a reduction in cognitive abilities and would not beable to function safely without help. The demand for help in takingcare of elderly people suffering from Alzheimer’s disease anddementia is increasing rapidly. It is essential to use technology toenhance these patients’ daily lives as independent as possibleespecially with food-intake since they lose the ability to know thesignificance of eating even when hungry. A successful system willreduce the cost of individual caregiving or ease the situation ofloved ones caring for their elders, and also allow the patients to beindependent-living individuals, at least for feeding themselves. Inthis paper, we present a real-time system to monitor food-intakebased on hand tracking of the patients during meal time. Wedeveloped a porotype vision-based device using Raspberry Pi 3, a7"" display to detect regions of the hands and the face based onHSV color space. We used Haar-Cascade classifier to segment thehands and distinguish them from the face in the frame sequence.The results of testing the system in real-time using real personsshow the accuracy of food-intake detected is around 89% withabout 3.9 frames per second speed.Keywords—Alzheimer’s, Object Detection, Hand Tracking,Computer Vision."

SH19ES051 Customized embedded system design for lower limb rehabilitation patients
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Abstract:-"There are a number of researches about combininggames with rehabilitation training to induce the interest of thepatients. However, related studies mainly focus on upper bodyrehabilitation patients and have not dealt with accuracy ofsensors. In this work, we aimed to improve the reliability of gameresults by implementing four step algorithm that minimizes theerrors caused by sensors for lower body rehabilitation patients.Furthermore, we implemented a customized game system for thepatient by collecting patient data and allowing the embeddedsmart car to move in proportion to the patient’s movement.Keywords— Lower limb rehabilitation, Embedded system,User customized, Correction algorithm."

SH19ES052 "Supervisor and Control Investigation in Smart/Autonomous Vehicles: Environment Recognition and objects detection ADAS Application Case Study"
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Abstract:-" Research on autonomous and smart vehiclestechnology has been growing exponentially in recent years byintegrating more and more smart software inside, thoseintelligent vehicles have several functionalities such asenvironment recognition, driver drowsiness detection andcommunication with other cars, etc. Thus, a supervisor isneeded to control sensors and actuators, to manage thenetwork and to process data tasks. In most of smartautomobiles, embedded RTOS (Real Time Operating System)are used as supervisor to control all data coming from thedifferent sensors, and to meet the real time requirements. Inthis paper, we investigate the real time software control insmart/autonomous through the design and prototyping of anADAS (Advanced Driver Assistant System) real timeapplication for vehicle environment recognition and objectsdetection. On one hand, we port the real time operating systemFreeRTOS on the top of Multi/CPU-FPGA platform, and thenwe point out the advantages of the FreeRTOS to develop a realsmart embedded system for environment car detection within ahardware prototype on a top of the FPGA Zynq hardwareplatform. On the other hand, a deep comparison betweenFreeRTOS and standard operating embedded Linaro/Linux, ispresented. The entry point of our real time ADAS applicationsystem is a point cloud coming from LIDAR sensors as aninput, and then several steps are defined in the application:data segmentation, objects searching, features extracts andclassification. As a first step of validation, our ADASapplication detects pedestrians using High-Definition rangedata.Keywords: Smart/Autonomous Vehicles, ADAS, FreeRTOS, ZYNQ board,LIDAR, Point cloud, SVM."

SH19ES053 "Software Design for a Sound Processing Embedded System"
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Abstract:-"A very popular way of implementing electronic systems that perform a particular function or a field of functions is the use of embedded systems. These systems show many advantages, like their versatility and their flexibility which are very useful for the designer. In this paper, the implementation of a sound processing embedded system is described. This system receives a musical sound and then it identifies the note which is heard, as well as the musical instrument that this note comes from. The number of the musical instruments that this system can identify is two, but this number can be easily increased.Furthermore, some results concerning the function of the system are presented as well.Keywords—embedded systems; musical sound processing;spectral analysis"

SH19ES054 "An Optimized Method of Embedded System Based on On-Chip Programmable Memory"
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Abstract:- "In order to improve the efficiency of on-chip programmable memory and reduce power consumption, This paper introduces an embedded system optimization method based on on-chip programmable memory. The method of this paper first analyzes and marks the running time of the storage object, then calculates the scheduling priority of the storage object, and then generates the scheduling sequence of the storage object on the chip programmable memory based on the scheduling priority. Finally, the storage space is allocated according to the size of the on-chip programmable memory space. This method realizes the scheduling of storage objects by using the frequency of storage objects and the use of time as parameters, which improves the efficiency of the on-chip programmable memory, improves the performance of the embedded system and reduces the energy consumption of the embedded system.Keywords—Optimization method; On-chip; Embedded Systems;Optimization; Scheduling priority."

SH19ES055 "Parametrics for the choice of Embedded Systems and Control Algorithms for Application Specific Robot Designs"
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Abstract:-" Micro controller contains one or more processor cores along with peripheral devices and memory. Micro-controllers find extensive use in embedded system applications such as automobile engine control systems, bio-medical devices,electronic appliances, etc. They are specific to a particular task,are small and compact in size, and consume less power; all ofthese features have resulted in the ubiquitous deployment of micro-controllers in various devices. However, it must be noted that a micro controller is a Control Circuit, and not a Driving Circuit. This statement is supported by the fact that the output current of a micro controller is too small to drive a motor connected to it directly; in fact, this is an unpropitious experiment and can damage the microcontroller. The microcontroller controls the working of actuators connected to it by following the logic coded onto it, and in this sense, forms the very brain of the embedded system. But in order to drive the motor, we need a type of switch (MOSFET, Relay, etc.) which can take the small output current of the microcontroller and control the power source to the motor. Essentially, a microcontroller accepts real-time inputs and generates an output control signal as per the rules and predefined logical deductions,in the prescribed algorithm. This paper discusses the criterion one must consider for the choice of an embedded system from the plethora of systems available in the market and the choice of control technique for different robotic applications.Keywords—Embedded systems, Development Boards, ASIC,Board Parameters, Control Algorithms, Neuro- Fuzzy Control,Two-loop Control"

SH19ES056 "Parallelization of FIVE Method on Multi core Embedded System"
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Abstract:- " Nowadays embedded computers have manyprocessor cores. Because of high computation power and lowpower consumption, the multicore processor platforms are agood support for mobile robot applications. Many tasks arerunning in parallel in different cores. In real time environmentload balancing and scheduling may be a problem for theoperating system. The majority of algorithms in embeddedsystem applications are not parallelized because of resources likememory, processors, communication channels and peripherals.The tasks are blocked while they are waiting for these resources.The quality of parallelization can be measured with the Amdahlformula. In this paper the presented application - fuzzy ruleinterpolation method also called FIVE (fuzzy interpolation basedon vague environment) – the tasks are easily divided in paralleltasks. The application itself is also a good support for analyses ofmultiprocessing and conclude the advantages or disadvantages.This method is lightweight enough to run on embedded systemsfor mobile robots. The FIVE method allows to describecomplicated behavior of a mobile robot in relatively simple way.The parallelized tasks are then implemented on the Parallellamicrocomputer with 2+16 processor cores. The FIVE methodruns on the 16 Epiphany cores which is like a coprocessor. Thepaper analyses based on the Amdahl law the limitation ofparallelization in multiprocessing environment.Keywords — parallelization, fuzzy interpolation, embeddedsystem, Amdahl law, real time system"

SH19ES057 Mini Gel Electrophoresis System Based on Embedded System*"
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Abstract:-" The current technologies are utilizable for applyingthe electrophoresis through agarose or polyacrylamide gels. Thisstandart method is used to seperate, identify and purify nucleicacids, and to get faster as well as more efficiently results byidentifying the bands including the basepairs. In this study, MiniGel Electrophoresis System Based Embedded System (MESBES) isdeveloped to increase the sensibility and accuracy of electrophoresissystem by using laboratory environment, and so this system achivesto wipe-out the errors based on humans as well as laboratoryenvironment. Additionally, this system also provides faster, moreaccure and easily accomplishment resulting of the analyses donein laboratory environments by the software of embedded system,microprocessor, human interface, remote access and softwaredevelopment features. MESBES has an upgradeable structure withthe typical characteristics of embedded systems such as low powerconsumption, and updatable. During the process of electrophoresis,getting instantaneous data with user interface, taking band imagesby applying the UV to gel, at the end of the process transfering theband images to the electronic media automatically can be provided.Keywords — Embedded System, Mini Gel Electrophoresis,Image Processing"

SH19ES058 "Research on Family Monitoring System of Elderly Solitaries Based on Embedded System"
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Abstract:-" With the increasing aging of the population, the intelligent monitoring of the elderly solitaries has becomingmore and more crucial. In this paper, Wi-Fi wireless communication technology and OpenCV technology are combinedto design an intelligent monitoring system for the elderly solitaries. The ARM9 processor S3C2416 is used as the maincontroller which equipped with a Wi-Fi module and a video data acquisition module. Device driver module, serial portdriver module and USB camera driver module are used to achieve an appropriate device driver operation while the humanbody posture detection method is used to perceive falls. Through the experimental test system to achieve the design goal,it is able to verify that this system has a good application prospect and scalability.Key Words: Embedded System; Intelligent Monitoring; Wi-Fi; Falling Detection"

SH19ES059 "Design and Implementation of Real-time Embedded Data Acquisition and Classification with Web-based Configuration and Visualization"
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Abstract:-"This research proposes some useful and practicaltechniques to design and implement the real-time embedded dataacquisition and classification. A web-based used as graphical userinterface is also provided to visualize data, parameters and behaviorsof the proposed system. A low-cost microcontroller is chosen to runspecial bootloader and application program. The application programis designed and implemented using non-blocking event-driven real-time operating system. It reads data from sensors, performs K-meansclassification algorithm, and sends data and system states to the web-based application running on a web browser. In addition, themicrocontroller system is designed to support many IoT applications.It is composed of all basic inputs and outputs, e.g., ADCs, PWMs,Wi-Fi, USB-to-UART and data storage. The users can visualize themeasured data and examine behaviors of the K-means algorithm onthe web browser in real-time. The web-based application is designedand implanted using new technology of web-based applicationdevelopment techniques. It can be run on any device that has webbrowser. The microcontroller and web-based application canexchange their data over internet network using HTTP, MQTT orWebSockets protocol. It supports serial port communication as well.The experimental results show that the proposed system andalgorithms running on the microcontroller and web browser canperform data acquisition and classification in real-time manner and itcan be used in real-world applications as expected.Keywords—embedded systems; real-time system; dataacquisition; classification; visualization; web-based application"

SH19ES060 "A Configurable Framework for Hough-Transform-Based Embedded Object Recognition Systems"
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Abstract:-"Real-time object recognition on low-power embed-ded devices is a widely requested task, needed in manifoldapplications. However, it is still a demanding challenge to achievedesired performance goals. For example, for advanced driverassistance systems (ADAS) or autonomously driven cars, objectrecognition and lane detection are indispensable tasks. Anotherfield of application is the continuous retrieval of the constructionprogress on-site for validation of the construction site status, bydetecting installed components using a given CAD model.This paper presents a framework for highly customizableobject detection systems implemented on a single heterogeneouscomputing chip leveraging FPGA logic and standard processors.The FPGA logic is used to implement a custom variation of theHough Transform and further image processing tasks efficiently.The dedicated logic is supplemented with a software stack, whichconsists of a Linux operating system, including hardware accessdrivers, as well as high-level libraries like OpenCV and RobotOperating System (ROS) - all running on the same device.The capabilities of the system are demonstrated for threeapplication scenarios, namely race track recognition, lane recog-nition and object detection tasks performed within a constructionassistance system.Index Terms—Generalized Hough Transform, FPGA, Hetero-geneous Computing, Object Recognition, Computer Vision"

SH19ES061 "Resource-efficient Reconfigurable Computer-on-Module for Embedded Vision Applications"
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Abstract:-"The paper proposes a novel architecture for a highly customisable FPGA-SoC-based Computer-on-Module (CoM) targeting embedded vision applications. Apart from a Xilinx ZynqSoC, the module integrates an Adapteva Epiphany floatingpoint accelerator in a Toradex Apalis compliant form factor.The CoM has been successfully integrated into two robotplatforms to enhance their vision processing capabilities. Forevaluation, visually-guided collision avoidance and navigationhas been implemented, mimicking the behaviour of insects.The hardware/software partitioning is presented together with acomparison to an HLS-based solution for the given application.The proposed stream-based FPGA implementation achieves aspeedup of 721 and an increase in energy efficiency by a factorof 800 compared to an OpenCV-based implementation on one ofthe embedded ARM processors of the Zynq SoC.Index Terms—reconfigurable CoM, embedded vision process-ing, resource efficiency, robotics, hardware acceleration"

SH19ES062 "An Intelligent Terrain Profiling Embedded System for Underwater Applications"
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Abstract:-" The Terrain Profiling Embedded System (TPES)has been designed by incorporating the requirement for bothground environment and underwater environments. Althoughextensive research has been carried out in the area of terrainprofiling in different scenarios, however, limited work has beenperformed for under water environment. The present system,TPES is fitted with an ultrasonic emitter which scans the terrain.The ultrasonic pulses are reflected back by the surface underTPES and received back by the sensors. The value of the distanceis deduced from time interval between the emitted and receivedpulse. The position on the map is determined by the inertialguidance system continuously and recorded simultaneously withthe elevation data. For under water scenarios, the temperatureof the water decreases non-linearly with the increase in depthresulting in the variation in velocity of the ultrasonic pulse. Thisnecessitates the inclusion of this new variable in terrain profilingsystems. To address this issue, the present system incorporatesthe temperature profile of the water for underwater applicationsto generate precise and accurate map. MATLAB is used to createthe 2D/3D maps using the data provided by TPES.Keywords—Terrain profile; elevation map; bottom survey;temperature profile; embedded system; ultrasound sensor,accelerometer"

SH19ES063 "Using Low Cost Embedded Systems for Respiratory Sounds Auscultation"
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Abstract:-"With technology advances, trying to replace expen-sive devices with cheaper, but efficient, systems is a promisingapproach to pursuit in the future. The main objective of thispaper is to compare the Littmann 3200 (state-of-the-art electronicstethoscope) with a prototype built for this purpose (with anelectric microphone as the sensor, and an Arduino Mega asa controller), in terms of sound quality, cough detection, andcosts. Regarding sound quality, the Littmann is better, especiallybecause of all the technology behind the stethoscope. The costsof both devices are significantly different: the prototype costs90% less than the Littmann. In terms of cough detection, theLittmann has a sensitivity of 75.4±32.0% and a specificity of99.6±2.5%, and the prototype has a sensitivity of 71.7±32.1%and a specificity of 98.0±11.0%, but the differences are notsignificant.Keywords—Cough detection device, Respiratory sounds acqui-sition, Embedded Systems"

SH19ES064 "Knowledge-based Recommendation System for Embedded Systems Platform-oriented Design"
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Abstract:-Due to the increasing number of reusable solutionsand proposition on the market of electronics, the search ofappropriative hardware-software platforms for embeddedsystems design becomes more complicated and it needs moretime. Therefore, the accumulation of knowledge and thedevelopment of recommendation system for solving this problemare actual scientific and practical tasks. Nowadays,recommendation system is one of the widely used online systemsfor making decision in different fields of human activity. In thispaper, recommendation techniques are analyzed and theiroverall classification is presented. Different knowledgerepresentation models are considered as well as the necessity ofknowledge transformation from semantic network to othermodels. The developed software tool allows to represent differentmodels of knowledge in a common language, also it contains theprocedures of transformation between different forms of expertknowledge. Knowledge documentation on the basis of knowledgerepresentation models allows to analyze the context in order toidentify priority requirements and to resolve conflictrequirements. Recommendation model and algorithm for helpingdevelopers in selecting hardware-software platform forembedded systems automated design are proposed. Finally, therecommendation system for hardware-software platforms isdeveloped and presented.Keywords – knowledge representation; semantic network;embedded systems; reusable solution; recommendation system;hardware-software platform; online tools."

SH19ES065 "Using embedded systems projects to revisit theoretical subjects"
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Abstract:-" Teaching and learning can be accomplished indifferent ways. In this paper, we report on how theoreticalconcepts can be revisited and mastered through studentprojects in Embedded systems course.Over the past 10 years we have been developing a course inEmbedded Systems Engineering at the University of Iceland.This course has evolved over the years and many studentprojects are outstanding in quality, some have even spun off ashi-tech start-up companies. The recipe for successful projectdriven senior/masters level course on Embedded SystemsEngineering seems to have three main ingredients; studentownership, challenge and mentorship. In this paper, we discussthe Importance of mentorship, student ownership, andchallenging projects to enforce theoretical subjects. Course andcurriculum development in project based Embedded SystemsEngineering course is also discussed.Keywords— Teaching; Teamwork; projects; Electronics;Embedded Systems; Microprocessors."

SH19ES066 "Real-Time Application Processing for FPGA-Based Resilient Embedded Systems in Harsh Environments"
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Abstract:- "Real-time embedded systems nowadays get em-ployed in harsh environments such as space, nuclear sites tocarry out critical operations. Along with the traditional softwarebased (CPU) execution, FPGAs are now also emerging as abright prospect to accomplish such routines. However, theseplatforms are often get plagued by faults generated due to thehigh radiations in such environments. As a result, the real-timeapplications running on the platform could also get jeopardized.Thus, efficient execution of a set of hard real-time applicationson reconfigurable systems with anomaly detection and recoverymechanism is inevitable. This work aims at tackling such problemwith a “healing” approach for extreme environments. Initially,the applications are intelligently partitioned for hardware andsoftware execution, then attempts have been made to schedulehardware applications with intermittent preemption point. Upondetecting any abnormality on such distinct points, our approachorchestrates a healing mechanism to remediate the scenariowithout hampering the pre-determined schedule. Experimentalvalidation of our proposed method reveals its effectiveness.Index Terms—FPGA, Real-time Scheduling, Harsh Environ-ments, SEUs, Healing mechanisms, Resilient Systems"

SH19ES067 "Using Simulation Techniques within the Design of a Reconfigurable Architecture for Fail-Operational Real-Time Automotive Embedded Systems"
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Abstract:-"In the automotive industry one clear goal is toreach the fourth SAE level of driving automation. Instead ofhaving a redundant E/E-architecture we propose a dynamicallyreconfigurable one. With this paper we introduce two newsimulation techniques on how to extract two important values forreconfiguration. The approach is based on an example for the lossof steering control functionality. The first value is the overall sys-tem reconfiguration time that is recognized by the human driverin case of a loss of steering control functionality. The second valueis the maximum reconfiguration time possible to still perform agiven maneuver. The results of both values are compared to aprevious study. This leads to end-to-end reconfiguration times forfuture development of fail-operational self-reconfigurable real-time automotive embedded systems. A method for simulating lossof functionality and deriving specification relevant data is given toassist the automotive industry reaching fail-operational systems.It will also help in introducing dynamical reconfiguration for afail-operational automotive E/E-architecture as the next step.Index Terms—Real-time embedded systems, fail-operational,automotive, dynamical reconfiguration, simulation"

SH19ES068 "Research of the Communication Protocols between the IoT Embedded System and the Cloud Structure"
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Abstract:- "Abstract – This article describes the study of communicationprotocols used between IoT Embedded Systems and CloudStructure. Cloud structure architectures are described thatuse protocols such as MQTT and TCP sockets, and theexperimental part includes their realization. It is proposed toimplement a protocol through TCP Sockets using a JSONpacket that compares with the MQTT protocol using the sameJSON packet. Measurements are made with the size of thepacket and the amount of data sent through the protocols.Keywords – Protocol, MQTT, TCP socket, IoT, Embeddedsystem, Cloud"

SH19ES069 "Protecting Embedded Systems from Zero-Day Attacks"
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Abstract:-"Recently, a quiet revolution in embedded systemstechnology has occurred with the appearance of System-on-Chip(SoC) devices. These couple Field Programmable Gate Array(FPGA) logic, with a broad array of peripherals, encryptionhardware, and high-performance multi-core processors -- allwithin the boundary of a single chip. This innovation has beenaccompanied by a coming-of-age in High-Level Synthesis,enabling hardware-software co-design in a systems programminglanguage, such as C. Concurrently, the emergence of light-weightOCI-compliant containers have revolutionized the distributionand maintenance of vertically integrated software stacks. Thisshort position paper explores how these advances can be leveragedto improve the security of embedded systems and, in particular,protect against sophisticated attacks employing kernel-level, zero-day exploits.Keywords—cyber-attack, security, trust, zero-day exploit,embedded-system, advanced persistent threat."

SH19ES070 "Cascade Control Algorithm developed with Embedded Systems"
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Abstract:-" In this article, the results obtained from severaltests of simulation and real experimentation with cascade controlalgorithms are presented. A pilot plant was used to control twovariables, one of flow and another of level. Two models wereobtained for the testing plant and the control algorithm wasimplemented as an embedded system in a commercial electroniccard. The answers obtained show an effective control system,thanks to their ability to anticipate.keywords— Cascade control, Disturbances, Embeddedsystems, Linear identification."

SH19ES071 "A Probability-based Data Allocation Strategy for Hybrid DRAMINVM Memory in Real-time Embedded Systems"
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Abstract:-"Non-volati le memory (NVM) has emer ged as aproml smg DRAM alternative due to its high density, and zeroleakage power. Nevertheless, it suffers from higher write energy.Accor ding to a given data-access fre quencies, the previous studiesfocus on data allocation technique for utili zing the benefits ofboth NVM and DRAM. However, data-accessfrequ encies is oftenobtained with prob ability, which could not be effectively appliedon the previou s techniques. To address this issue, tin s pap erproposes a probability-based data allocation strategy for hybridDRAMINVM memory in rea l-ti me embedded systems, The basicidea is first to obtain the probability-b ased data-accessfre quencies of a given embedded program by exploiting itsappllcatlon-speciflc feature. Combining with the maximum data-access fr equ encies and the data-access frequency expectations ofeach data in a given program, tin s paper proposes a novel andsimple dat a allocation algorithm, named PBDA, to minimize theenergy consumption of real-time embedded syste m, Finally,compared to the Greedy algorithm and an existing optimal dat aallocation algorithm, th e experiments show that our technolo gycan redu ce ener gy consumption by 45.01% and 10.49% onaverage.Keywords-probability; data allocation; nonvolatilememories(N VAfs) ; DRAM; hybrid main memory; real-timeembedded systems"

SH19ES072 "A Microcontroller Based Embedded System to Provide Complete Self Protection (CSP) to any Distribution Transformer"
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Abstract:-" This paper describes the design of a device thatallows any distribution transformer to mimic the capabilities of acompletely self-protected transformer (CSP transformer) andhow it can be improved with the use of an embedded system. Theaim of this paper is to propose a few modifications in the originaldesign of CSP transformer as to add some new features forprotection of transformer, such as, from overheating, reachingover current limit and under voltage. Commonly, fault occurredin transformers are owed to the specified reasons. Defendingtransformer from any damages, its monitoring and control of theentire electrical system can be done with the support and benefitof embedded system. The system will ensure the proper use oftransformer and allow the user to monitor the transformer moreeffectively.Keywords—transformer, microcontroller, embedded system,TFT touch displays, RTD- resistance temperature detector, halleffect current sensor."

SH19ES073 "Optimal filtering for noise reduction in myoelectric signals on an embedded system"
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Abstract:-"Electromyography (EMG) signals are used todiagnose muscular pathologies and are also employed as inputsfor electronic applications. However, a major disadvantage indetecting this signal is the noise that can be derived from diversesources such as power supplies, incorrect placement of theelectrodes, and the environment. To reduce the noise in the signala filter must be incorporated in the system. The aim of this paperis to reduce the noise generated in the muscular signals throughan embedded system, using an optimal filter configured withdifferent frequencies and numbers of samples values. A real-timeapplication was implemented using an Olimex SHIELD-EKG-EMG shield and a SAM V71 board. The shield was used toobtain the signal using the ADC of the SAM V71 board and thefilter was programmed on the board. A correct configuration ofthe frequency and number of samples is crucial to compute anoptimal filter on an embedded application. The noise reductionresults are presented.Keywords—Electromyography, optimal filter, embedded system,SAM V71, real-time, Wiener implementation."

SH19ES074 "A Sketch Classifier Technique with Deep Learning Models Realized in an Embedded System"
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Abstract:-"Since 2011, due to the growth in the amount ofinformation, the innovation of learning algorithms and theimprovement of computer technology make the application ofartificial intelligence feasible in a wide range of fields. Thispaper presents a sketch classifier technique with deeplearning models. We use the depth-wise convolution layer tolighten the deep neural network. The result shows theimprovement in approximately 1/5 of computation. We useGoogle Quick Draw dataset to train and evaluate the network,which can have 98% accuracy in 10 categories and 85%accuracy in 100 categories. Finally, we realize it onSTM32F469I Discovery development board fordemonstration. The system can achieve real-timeimplementation of sketch classification.Keywords—Deep Learning, Neural Network, EmbeddedSystem, Sketch Classification"

SH19ES075 "Time-efficient offloading for machine learning tasks between embedded systems and fog nodes"
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Abstract:-"The Internet of Things (IoT) and Machine Learning(ML) introduce embedded systems to many new roles andfunctions, but the current status quo of using these technologiestogether can be improved. The status quo has embedded systemsoffloading all of their ML functionality to an external device,but this can lead to unpredictable throughput due to networkinstability. We propose to run low-complexity ML models on theembedded system itself and distribute the workload when it hasbeen measured to bypass a Worst-Case Execution Time (WCET)threshold.Index Terms—fog nodes, offloading, embedded systems, ma-chine learning"

SH18ES001 Child Safety Wearable Device
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Abstract—This paper discusses the concept of a smart wearable device for little children. The major advantage of this wearable over other wearable is that it can be used in any cellphone and doesn't necessarily require an expensive smartphone and not a very tech savvy individual to operate. The purpose of this device is to help parents locate their children with ease. At the moment there are many wearables in the market which help track the daily activity of children and also help find the child using Wi-Fi and Bluetooth services present on the device. But Wi-Fi and Bluetooth appear to be an unreliable medium of communication between the parent and child. Therefore, the focus of this paper is to have an SMS text enabled communication medium between the child's wearable and the parent as the environment for GSM mobile communication is almost present everywhere. The parent can send a text with specific keywords such as “LOCATION” “TEMPERATURE” “UV” “SOS” “BUZZ”, etc., the wearable device will reply back with a text containing the real time accurate location of the child which upon tapping will provide directions to the child's location on google maps app and will also provide the surrounding temperature, UV radiation index so that the parents can keep track if the temperature or UV radiation is not suitable for the child. The prime motivation behind this paper is that we know how important technology is in our lives but it can sometimes can't be trusted, and we always need to have a secondary measure at hand. The secondary measure used in this project is the people present in the surrounding of the child who could instantly react for the child's safety till the parents arrive or they could contact the parents and help locate them. The secondary measure implemented was using a bright SOS Light and distress alarm buzzer present on the wearable device which when activated by the parents via SMS text should display the SOS signal brightly and sound an alarm which a bystander can e...

SH18ES002 Autonomous Wireless Body Area Network Implementation Towards IoT Connected Healthcare Applications
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align = "justify">Abstract—Internet of Things (IoT) is a new technological paradigm that can connect things from various fields through the Internet. For the IoT connected healthcare applications, the wireless body area network (WBAN) is gaining popularity as wearable devices spring into the market. This paper proposes a wearable sensor node with solar energy harvesting and Bluetooth low energy transmission that enables the implementation of an autonomous WBAN. Multiple sensor nodes can be deployed on different positions of the body to measure the subject's body temperature distribution, heartbeat, and detect falls. A web-based smartphone application is also developed for displaying the sensor data and fall notification. To extend the lifetime of the wearable sensor node, a flexible solar energy harvester with an output-based maximum power point tracking technique is used to power the sensor node. Experimental results show that the wearable sensor node works well when powered by the solar energy harvester. The autonomous 24 h operation is achieved with the experimental results. The proposed system with solar energy harvesting demonstrates that long-term continuous medical monitoring based on WBAN is possible provided that the subject stays outside for a short period of time in a day.

SH18ES003 Wearable Safety Wristband Device For Elderly Health Monitoring With Fall Detect Monitoring With Fall Detect And Heart Attack Alarm
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align = "justify">Abstract—The quantity of elderly resident is on the ascent around the world. Accordingly, the quantity of those living alone is likewise liable to increment. At the point when an elderly individual living alone shows some kindness assault or falls at home, no one is around to ready relatives or the specialist. This technique is about having multiple method in a single device to monitor location, heart rate or attack, alarm, device missing alert, take medicine at correct time with suitable tablets, traffic signal reading. In this device we use high end processor and controller for ARM cortex M0+ series. High speed interface used for UART, I2C, SPI protocols. We can use smart e-paper to display the best than mature display method. Finally project has multiple things in a single device and provides better help for elders as well as children and physically challenged people.

SH18ES004 Decentralized Configuration of Embedded web Services for Home Applications
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Abstract:- Web Services can be used as a communication structure for embedded devices. Out of numerous Web Service specifications there is a subset (Profile) to implement Web Services on resource constrained devices, called Devices Profile for Web Services (DPWS). The resulting service oriented architecture enables the user to discover new devices, e.g., in the local smart home network. The open standards for Web Services further define a metadata format for service description. Besides the simple invocation of service operations, an eventing mechanism is specified. A client which subscribes to an event will receive notifications. Those features and the inherent Plug&Play capability provided by Web Services are suitable to connect smart home devices in a user-friendly manner. However, DPWS specifies no standard procedure to combine multiple devices with each other to build more complex applications. Therefore, new concepts for embedded Web Service orchestration are needed. Some commercial solutions use a central hub, which represents a Single Point of Failure (SPoF). Hence, a failure would lead to a breakdown of all smart Internet of Things (IoT) applications and decrease the user acceptance. We propose a concept where no central broker is needed by defining a Configuration Service that runs on multiple devices. Based on that service a smartphone app is used to establish trigger-action rules between devices. A prototype is implemented as a proof-of-concept for different smart home devices. Furthermore, a mobile Android application to find and orchestrate the devices is presented.

SH18ES005 Real-Time Locating Systems Using Active RFID For Internet Of Things
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Abstract:-The proliferation of the Internet of Things (IoT) has fostered growing attention to real-time locating systems (RTLSs) using radio frequency identification (RFID) for asset management, which can automatically identify and track physical objects within indoor or confined environments. Various RFID indoor locating systems have been proposed. However, most of them are inappropriate for large-scale IoT applications owing to severe radio multipath, diffraction, and reflection. In this paper, we propose a newly fashioned RTLS using active RFID for the IoT, i.e., iLocate, which locates objects at high levels of accuracy up to 30 cm with ultralong distance transmission. To achieve fine-grained localization accuracy, iLocate presents the concept of virtual reference tags. To overcome signal multipath, iLocate employs a frequency-hopping technique to schedule RFID communication. To support large-scale RFID networks, iLocate leverages the ZigBee. We implement all hardware using 2.45-GHz RFID chips so that each active tag can communicate with readers that are around 1000 m away in a free space. Our empirical study and real project deployment show the superiority of the proposed system with respect to the localization accuracy and the data transmission rate for large-scale active RFID networks.

SH18ES006 Design and Implementation of LPWA = Based Air Quality Monitoring System
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Abstract:-Increasing attention has been paid to air quality monitoring with a rapid development in industry and transportation applications in the modern society. However, the existing air quality monitoring systems cannot provide satisfactory spatial and temporal resolutions of the air quality information with low costs in real time. In this paper, we propose a new method to implement the air quality monitoring system based on state-of-the-art Internet-of-Things (IoT) techniques. In this system, portable sensors collect the air quality information timely, which is transmitted through a low power wide area network. All air quality data are processed and analyzed in the IoT cloud. The completed air quality monitoring system, including both hardware and software, is developed and deployed successfully in urban environments. Experimental results show that the proposed system is reliable in sensing the air quality, which helps reveal the change patterns of air quality to some extent.

SH18ES007 Design and Implementation of Indoor Environment Monitoring and Control System
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Abstract:-A query processor to control and manage the reliability and efficiency of sensor nodes in a wireless sensor network was designed and implemented. Sensor node with the proposed query process combines environmental and medical sensors in order to monitor both pollution states of the surrounding indoor room of the patient and the patient's health status continuously. This feature allows a comprehensive understanding of the patient's condition in indoor environment. Another feature of our system provides an anytime, anyway, anyservice and effective way for connecting our indoor environmental and medical sensor nodes of sensor network to outside world. This paper presents a tiny aggregation service and reliable query protocol for aggregation in sensor node. The tiny aggregation allows users to make simple and declarative queries with reliability and efficiency in low-power wireless sensor node. The reliable query protocol in indoor environment and medical sensor node is very effective because of power saving and reliable data transmission between sensor nodes.

SH18ES008 Energy Autonomous wireless Valve Leakage Monitoring System With Acoustic Emission Sensor
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Abstract:-Industrial internet will improve process control and increase efficiency to maximize industrial output. Key enabling technologies include low-power wireless communication, energy harvesting power autonomous devices along with the latest in sensing devices. This paper presents a wireless sensing system developed for the key industrial application of condition monitoring, specifically; valve leakage detection. The system integrates advances in all of the three aforementioned topics. A novel MEMS-based acoustic emission sensor is described to detect valve leakage manifested as vibrations in certain frequency bands. An in-house developed ultra-low power wake up radio technology, which enables the deployment of this sensor, will be presented. Two energy-harvesting systems: thermal harvesting in the sensor node and an industrial current loop harvester for the base station are developed. Integration and piloting of this system is described and evaluation results presented. The system presented offers a repeatable and adaptable sensor system deployed for valve leakage detection in an ATEX industrial environment.

SH18ES009 Three Tier Secured State-Of-The-Art EVM Design Using Pragmatic Fingerprint Detection Annexed With NFC Enabled Voter -ID Card
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Abstract:-.

SH18ES010 indoor location and motion tracking system for eldetly assisted living home
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Abstract:-.

SH18ES011 Design of Smart Neonatl Health Monitoring System using Sensor Mobile Cloud Computing
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Abstract:-.

SH18ES012 Mining Human Activity Patterns from Smart Home Big Data for Healthcare Applications
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Abstract:-Nowadays, there is an ever-increasing migration of people to urban areas. Health care service is one of the most challenging aspects that is greatly affected by the vast influx of people to city centers. Consequently, cities around the world are investing heavily in digital transformation in an effort to provide healthier ecosystems for people. In such a transformation, millions of homes are being equipped with smart devices (e.g., smart meters, sensors, and so on), which generate massive volumes of fine-grained and indexical data that can be analyzed to support smart city services. In this paper, we propose a model that utilizes smart home big data as a means of learning and discovering human activity patterns for health care applications. We propose the use of frequent pattern mining, cluster analysis, and prediction to measure and analyze energy usage changes sparked by occupants' behavior. Since people's habits are mostly identified by everyday routines, discovering these routines allows us to recognize anomalous activities that may indicate people's difficulties in taking care for themselves, such as not preparing food or not using a shower/bath. This paper addresses the need to analyze temporal energy consumption patterns at the appliance level, which is directly related to human activities. For the evaluation of the proposed mechanism, this paper uses the U.K. Domestic Appliance Level Electricity data set-time series data of power consumption collected from 2012 to 2015 with the time resolution of 6 s for five houses with 109 appliances from Southern England. The data from smart meters are recursively mined in the quantum/data slice of 24 h, and the results are maintained across successive mining exercises. The results of identifying human activity patterns from appliance usage are presented in detail in this paper along with the accuracy of shortand long-term predictions.

SH18ES013 Developing fish feeder system using Raspberry Pi
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Abstract:-The Fish owners of the pet fish are usually distressed when they are away from home environment because they could not feed the fish on time. Both reasons, food starvation and overfeeding risk the health of fish and leads to poor water quality in indoor fish tanks. Thus monitoring the fish feeder is of great importance which can be very beneficial for the fish owners. This work is aimed to design a fish feeder system using microcontroller and Raspberry Pi based web application to relax the distressed fish owners in feeding their fish on time. This system is designed to overcome the problem of fish dying due to fish feeder malfunction. With this design, the fish owner can monitor the fish tank for correct functioning of the fish feeder. Also, the user can set schedules for feeding the fish through the web application.

SH18ES014 Real-time Traffic Light Recognition Based on Smart Phone Platforms
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Abstract:-Traffic light recognition is of great significance for driver assistance or autonomous driving. In this paper, a traffic light recognition system based on smartphone platforms is proposed. First, an ellipsoid geometry threshold model in Hue Saturation Lightness color space is built to extract interesting color regions. These regions are further screened with a postprocessing step to obtain candidate regions that satisfy both color and brightness conditions. Second, a new kernel function is proposed to effectively combine two heterogeneous features, histograms of oriented gradients and local binary pattern, which is used to describe the candidate regions of traffic light. A kernel extreme learning machine (K-ELM) is designed to validate these candidate regions and simultaneously recognize the phase and type of traffic lights. Furthermore, a spatial-temporal analysis framework based on a finite-state machine is introduced to enhance the reliability of the recognition of the phase and type of traffic light. Finally, a prototype of the proposed system is implemented on a Samsung Note 3 smartphone. To achieve a real-time computational performance of the proposed K-ELM, a CPU-GPU fusion-based approach is adopted to accelerate the execution. The experimental results on different road environments show that the proposed system can recognize traffic lights accurately and rapidly.

SH18ES015 A real time street lighting control system
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Abstract:-The article elaborates the design and construction of automatic light control system. The developed electronic system eliminates the disadvantages of the existing systems by taking date and time from the GPS, as it also gives information about the position of the system. Based on the results the microcontroller calculates and automatically detects geographical area and retrieve relevant data for sunrise and sunset in the area, respectively ensures very precise ON/OFF mode of the lighting system. It doesn't need operator maintenance and initial installation setup. The developed electronic device increases bulb life in result of the dimming effect. On the other hand this decrease of the illumination leads to reduce in the energy consumption.

SH18ES016 Body and Fall Detection System with Heart Rate Monitoring
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Abstract:-Falls can result in physical and psychological trauma, especially for the elderly. In order to improve the quality of life of these patients this work presents the development of a fall detection and body positioning with a heart rate monitoring system. This system consists of the sensing equipment, gateway and a real-time patient monitoring structure. The sensing device obtains information from accelerometers and gyroscope and sends them to the gateway via ZigBee technology, which makes the processing of the data and sends them to the cloud. The current patient body position and temperature sensing are provided through a web platform and Android application. The body, walking and falls position were respectively satisfactory in 100%, 90% and 60% of cases during tests at the laboratory. We conclude that our current proposal achieved the goal of patient fall detection with a corporal temperature monitoring using a low cost budget implementation.

SH18ES017 Design and Implementation of Low Cost ECG Monitoring System for the Patient using Smart Device
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Abstract:-Cardiovascular disease (CSD) has become the leading cause of death worldwide in recent years. This CSD is the most challenging problem for detection or identification in early stages of patients. This research work approaches to develop an ECG signal generator at very low cost for the patients who can receive his/her ECG signal and detect the probability of cardiovascular diseases instantly. This ECG signal is transmitted via Bluetooth/Wi-Fi/Zigbee module to smart device with support software simulation where feature extraction and detection algorithm is setup for cardiovascular disease. This network can be connected with the doctors and hospitals to get the fastest treatment. In this paper, we have also proposed extraction and detection algorithm for detecting of CSD. This proposed idea is to contribute to bring under control heart diseases and also act as an expected results in health care service to patients in remote area.

SH18ES018 Design and Implementation of Low Cost ECG Monitoring System for the Patient using Smart Device
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Abstract:-Cardiovascular disease (CSD) has become the leading cause of death worldwide in recent years. This CSD is the most challenging problem for detection or identification in early stages of patients. This research work approaches to develop an ECG signal generator at very low cost for the patients who can receive his/her ECG signal and detect the probability of cardiovascular diseases instantly. This ECG signal is transmitted via Bluetooth/Wi-Fi/Zigbee module to smart device with support software simulation where feature extraction and detection algorithm is setup for cardiovascular disease. This network can be connected with the doctors and hospitals to get the fastest treatment. In this paper, we have also proposed extraction and detection algorithm for detecting of CSD. This proposed idea is to contribute to bring under control heart diseases and also act as an expected results in health care service to patients in remote area.

SH18ES019 Handover in Outdoor Visible Light Communication System
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Abstract:-This paper proposes a novel handover procedure in an outdoor Vehicle to Infrastructure Visible Light Communication (V2IVLC) system. In V2IVLC system, vehicles moving in the street communicate with groups of LED street lights using cameras. The handover procedure proposed in this work would help to vehicles transferring the communication from one LED group to another. Through simulation, the practicality of the proposed handover is confirmed and the relationship between speed of a car and the useful time that is used for transmitting end user data is analyzed.

SH18ES020 LED Projection Module Enables a Vehicle to Communicate with Pedestrians and Other Vehicles
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Abstract:-As seen in self-driving cars recently, vehicles have been getting highly computerized for increased safety and convenience. Nonetheless, the number of cases of fatal accidents involving pedestrians at night does not appear to decrease the way we expect. The authors therefore propose the road illuminating system using the LED Projection Module in which the system projects image information on a road surface that enables communication between human and cars in order to reduce pedestrians' fatal accidents at night. This paper discusses the system and its development.

SH18ES021 Reverse Engineering the Communications Protocol of an RFID Public Transportation Card
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Abstract:-Radio Frequency Identification (RFID) security has not been properly handled in numerous applications, such as in public transportation systems. In this paper, a methodology to reverse engineer and detect security flaws is put into practice. Specifically, the communications protocol of an ISO/IEC 14443-B public transportation card used by hundreds of thousands of people in Spain was analyzed. By applying the methodology with a hardware tool (Proxmark 3), it was possible to access private information (e.g. trips performed, buses taken, fares applied...), to capture tag-reader communications, and even emulate both tags and readers.

SH18ES022 RFID-Based Attendance Management System
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Abstract:-This paper describes an automated attendance management system that can be employed at professional gatherings of different types (conferences, exhibitions, training courses, etc.) and scales (from small-to-medium seminars and workshops to large congresses and technical shows). The system is based on application of RFID, mobile communication and IT technologies. It is capable of collecting, recording and processing data on participants of a technical gathering and their activities, attendance or different sessions, visiting different exhibition booths, etc. The system can also generate real-time combined detail reports on attendance, inflow and outflow of the participants during the event, their most and least preferred interests and activities, etc. This can be done for a multitude of locations and premises, and during an extended period of time.

SH18ES023 Syncretic use of smart meters for Power Quality monitoring in emerging networks
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Abstract:-Operation of distribution networks undergoes dramatic changes in the era of smart grid deployment, due to the higher penetration of distributed generation (usually from intermittent resources), to an ever-increased share of power electronics mediated energy transfer, but also thanks to advancements in instrumentation including smart meters (SMs). In this context, alternative power quality (PQ) monitoring and control, based on a lightweight assessment of voltage parameters to be implemented in new SM would allow optimal real-time network operation and market-correlated services. To this, the authors propose a signal analysis framework for simplified PQ informative assessment method using the so-called instrumentation values available in most of today's SM. It is highlighted that the voltage characteristics made available with high reporting rates can be efficiently used in deriving information on quality of the electricity supplied by public electricity networks. Further applications like smart grid synchro-SCADA observability and voltage control are also addressed in a novel design of SM, with negligible impact on cost.

SH18ES024 Towards Intelligent Arabic Text-to-Speech Application for Disabled People
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Abstract:-Assistive technology customizes speech technology to offer a new communication channel for disabled people such as blind or having speech difficulties. Converting written text into natural speech has been addressed in the last decades for some languages such as English, hence, used in many applications such as voice answering machines, reading articles and exploring software for blind people. Other languages such as Arabic are still not fully served to have high quality Text-To-Speech applications. This paper describes our effort in developing an intelligent Text-To-Speech mobile application for Arabic. We use a set of statistical language models n-gram for word prediction and auto-completion for easy typing. A large new Arabic corpus for daily communication in different domains is constructed which could be used for other purposes. A serious of normalization processing, including spelling correction, is applied to the corpus to maintain the consistency and unify the occurrence of the same words. We use outsource Sakhr Arabic Text-To-Speeh voices as one of the best speech synthesizer exist for Arabic. To ensure a high usability of the application, we use simple graphical user interface and easy access libraries to favorite phrases with an ability of adding pictures with recorded speech. Our experiments shows that word prediction using global and local corpus decries 50% of keystroke of typing desired sentences with a high prediction of 84% of bigram model.

SH18ES025 Tuning of a Stigmergy-based Traffic Light Controller as a Dynamic Optimization Problem
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Abstract:-In this paper, we present results on the automatic tuning of an adaptive traffic light controller. The traffic light controller is inspired by some swarm intelligence techniques and uses numerical values that are adapted by the principles of stigmergy to estimate queue lengths. These estimates are used in a probabilistic mechanism that switches between traffic light control strategies and determines phase lengths. This traffic light controller adapts through this specific mechanism to the current traffic situation but to define its behavior more than 100 parameters are used. To determine appropriate parameter settings, we therefore explored the automatic configuration of this traffic light controller. The main focus in this article is to examine whether the controller parameters require adaptation to major time-varying changes to reach best possible performance. We propose a strategy to deal with such changes and experimentally evaluate the impact limited re-tunings have on the controller performance.

SH18ES026 Indoor Localization Framework with WiFi Fingerprinting
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Abstract:-Indoor localization through WiFi fingerprinting requires a large number of fine-grained data samples. This study presents a data acquisition and indoor localization framework that collects crowd-sourced WiFi received signal strength data in a metropolitan high-rise building and predicts location through WiFi fingerprinting. The framework consists of a server and an Android application and was tested at NYIT for data collection for two weeks in December 2016. The dataset was preprocessed and analyzed through linear support vector machine to test location prediction accuracy. Various feature selection schemes were compared for their location prediction accuracy. We show that a small subset of features suffices to provide high location prediction accuracy. The average location prediction accuracy increases from 83% to 100% when time features are considered comparing to using only spatial features.

SH18ES027 An Android Based Human Computer Interactive System with Motion Recognition and Voice Command Activation
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Abstract:-Human Machine Interface (HMI), referred to as a correlated system of human activities and operation of a specific device, ratifies control mechanism of a targeted machine by execution of certain physical actions. This paper presents an effective design of an Android-based Human Computer Interactive (HCI) system with voice command activation and gesture recognition to control a computer. With a continuous data acquisition from a 3-D Accelerometer sensor embedded into the smart phone, the proposed system substantiates remote computing through processing of the orientation readings of physical movement of the phone and compilation of inputted audio texts. With Wi-Fi connectivity, the smart phone is attached to the wrist of a human body. The motion parameters are utilized to control the cursor movement of the host computer and the voice commands are used for ultimate execution of an instruction. Such a wireless system provides reliable and effective control operations of the computing domains, electronic devices and robotic structures. Physically challenged people get benefitted by such systems through easy and faster computing operations. The developed work has been tested under certain conditions and the performance analysis affirms its sustainability.

SH18ES028 Multi-Sensor Based Collision Avoidance Algorithm for Mobile Robot
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Abstract:-Collision Avoidance (CA) systems have been used in wide range of different robotics areas and had extraordinary success in minimizing the risk of collisions. It is a critical requirement in building mobile robot systems where they all featured some kind of obstacle detection techniques in order to avoid two or more objects from colliding. The purpose of this paper is to present an algorithm for performing collision avoidance in mobile robot that is relying on the use of low-cost ultrasonic with infrared sensors, and involving some other modules, so that it can be easily used in real-time robotic applications. The proposed algorithm is implemented in multiple scenarios with several obstacles placed in different locations around the robot. Our experimental run shows that the robot has been successfully detecting obstacles and avoiding collisions along its path.

SH18ES029 Mine Detecting Robot Prototyping
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Abstract:-Robot application for human security is an important topic in the research domain. From military domain to medical one, many applications are developed to ameliorate human life. A mine detecting robot is a revolutionary military advancement and a lifesaving invention that can benefit humanity as all. The robot is guided by an android application that allows it to scan the infected area, while a beat frequency oscillator is used as mine detection sensor placed on servo motor in front of the vehicle. This paper proposes a design of a mine detecting sensor and implementing it in a robotic prototype. The embedded proposed system is based on Arduino technologies and guided by an Android Application.

SH18ES030 Mobile Quad-Controlled Wireless Robotic Arm
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Abstract:-In this paper, we develop a remotely controlled robotic arm with 4 degree of freedom (D.O.F) that is wirelessly controlled using four control mechanisms, i.e, Voice Control, Smart Phone-Tilt Control, Remote control and Hand Gesture Control. Wireless technologies such as Bluetooth and Wi-Fi are used to access the Quad-Controlled Robotic Arm (QCRA). A prototype QCRA is developed. The QCRA can be used to pick and place objects from one place to another on receiving the commands from distance, thereby reducing the human effort. An Android application is developed for convenience of the user in operating this QCRA, using different control mechanisms. Performance evaluation results are encouraging. Potential applications of the QCRA in homes, industries and for physically challenged/aged people are also discussed.

SH18IOT031 Room Temperature Control and Fire Alarm/Suppression IoT Service Using MQTT on AWS
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Abstract:-In this paper we build an MQTT(Message Queue Telemetry Transportation) broker on Amazon Web Service(AWS). The MQTT broker has been utilized as a platform to provide the Internet of Things(IoT) services which monitor and control room temperatures, and sense, alarm, and suppress fire. Arduino was used as the IoT end device connecting sensors and actuators to the platform via Wi-Fi channel. We created smart home scenario and designed IoT massages satisfying the scenario requirement. We also implemented the smart some system in hardware and software, and verified the system operation. We show that MQTT and AWS are good technical candidates for small IoT business applications.

SH18ES032 Robotic Testing of Mobile Apps for Truly Vehicle Black-Box Automation
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Abstract:-.

SH18ES033 A Real-Time Flood Alert System for Parking Lots
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Abstract:-Floods are a constant threat throughout the year to the United Stated and its territories like Puerto Rico. Although there are various methods of alerts available; such as the Emergency Broadcast System or sirens, none of these can alert a user remotely in an efficient and timely manner. The design goal of this project is to provide a real-time system able to monitor sudden floods in parking lots, addressing the concern of water damage to vehicles; creating a personal opt-in alert that could reach an end user through their mobile phone. In this case, the system defines two types of nodes: Sensing and Sink. Each sensing node uses a hydrostatic pressure sensor to monitor the water levels; it will then communicate with neighboring nodes via XBee radios until the data reaches the sink node. The sink node is then responsible for sending the received data from the sensors to a remote server via mobile communications network (GSM). An up to date database of users and flood levels will then be processed and handled by the server, which will send users an email alert that will reach any mobile phone as a text message (SMS).

SH18ES034 A Smart Meter Design and Implementation Using ZigBee Based Wireless Sensor Network in Smart Grid
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Abstract:-In this paper Wireless Sensor Home Area Network (WSHAN) with ZigBee interfaced smart meter is designed and implemented. Because of the increasing demands on electricity, traditional electric grid needs to be replaced with intelligent, robust, reliable and costly effective smart grid applications. Wireless Sensor Networks (WSN) has a critical role to set up a reliable and costly effective smart electric power grid applications. Our system measures energy usage, logs data real time and shows time of use (TOU) values. The system also controls any device connected to power outputs. While powering on and off, zero-cross of AC signal is detected to calculate phase shift. The smart meter provides correct power usage and transmits data with ZigBee to PC (Personal Computer). The user monitors the power information and remotely controls the system.

SH18ES035 Wheel Therapy Chair: A smart system for disabled person with therapy facility
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Abstract:-Each and every person in this world has a desire to live a normal human life but accidents, diseases, elder-ship make their desire into disability. Moreover, there are lots of handicaps and elders as well as the number of paralyzed people are increasing day by day. They always need another person in moving and have to go under some physical therapies under the guidance of a therapist to recuperate their strain back. In this paper the proposed system helps them to move freely & safely and also takes the activities of a therapist in a cost effective manner. This system is a combination of different controlling features, has the ability to detect obstacle and provides few kinds of therapies. A smart wheelchair is developed by using voice recognition system to control the movement of wheelchair and also with Arduino interfaced joystick. Besides, an ultrasound system provides the facility of automatic obstacle detection. The aim of research is to compact many facilities in a single wheelchair at low cost.