International Journal of Reconfigurable and Embedded Systems (IJRES)
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IoT based E-vehicle monitoring system using sensors and imaging processing algorithm
Get PDFHuman evolution has included the development of transportation systems. People are currently driving a significant number of fuel-powered automobiles. This resulted in an increase in the number of accidents as well as pollution in the environment. To address the disadvantages of gasolinebased vehicles, this study presents an IoT-based E-vehicle monitoring system (E-VMS) for early accident detection and to make the environment cleaner and greener by using alternative energy. E-VMS employs internet of things (IoT) technology to continuously monitor the vehicle as well as to access and control it remotely. The IoT devices installed in vehicles are built using an Arduino microcontroller and sensors to detect accidents quickly. When an accident occurs, the E-VMS recognizes it quickly and determines the severity of the incident. The machine will then promptly alert the authorities. The E-VMS is also familiar with the GPS system. This will allow the E-VMS to maintain track of the cars' location in real time. This information will be used to locate the car in the event of an accident or theft. The E-VMS system's results were promising in terms of accurately identifying accidents, determining the severity of the accident, and determining the position of the vehicle
Managing health supply chain using blockchain technology: state of art challenges and solution
Get PDFThe COVID-19 flare-up in late 2019 caused a worldwide medical crisis. In a littlemore than a quarter of a year, the quantity of COVID new cases has risen to in excessof 1,000,000 around the world.The fast transmission of the infection prompts newcases to be accounted for all around the world constantly. At the same time, mortalityrate and contaminations keep on rising rapidly. Therefore, the COVID-19 pandemichas led to the implementation of lockdowns and social distancing rules that negativelyimpact global economies. It has upturned many challenges which are mentioned inthis paper,we proposed a solution to these major problems, blockchain technology canplay a vital role in closing maximum escape clauses in the present system to improvevisibility and traceability and to provide a clear far vision for the stakeholders presentin pharmaceutical industry
Modeling arbiter-PUF in NodeMCU ESP8266 using artificial neural network
Get PDFA hardware fingerprinting primitive known as physical unclonable function (PUF) has a huge potential for secret-key cryptography and identification/authentication applications. The hardware fingerprint is manifested by the random and unique binary strings extracted from the integrated circuit (IC) which exist due to inherent process variations during its fabrication. PUF technology has a huge potential to be used for device identification and authentication in resource-constrained internet of things (IoT) applications such as wireless sensor networks (WSN). A secret computational model of PUF is suggested to be stored in the verifier’s database as an alternative to challenge and response pairs (CRPs) to reduce area consumption. Therefore, in this paper, the design steps to build a PUF model in NodeMCU ESP8266 using an artificial neural network (ANN) are presented. Arbiter-PUF is used in our study and NodeMCU ESP8266 is chosen because it is suitable to be used as a sensor node or sink in WSN applications. ANN with a resilient back-propagation training algorithm is used as it can model the non-linearity with high accuracy. The results show that ANN can model the arbiter-PUF with approximately 99.5% prediction accuracy and the PUF model only consumes 309,889 bytes of memory space
Machine to machine communication enabled internet of things: a review
Get PDFInternet of things (IoT) will be the main part in upcoming generation devices that would not simply sense and report, also will have the controlling capability. It may be a connected vehicle, connected devices, robot, a building automation system, a door lock or a thermostat, these connected machines or devices will provide greater impact on our daily lives. Control data and the operating instructions could be protected to ensure control and autonomy for our safety and security, this could be a critical task. Privacy and security are important consideration in designing the system. With the intense growth of devices or devices with facilities such as computing and communication are carried out using a profound technology known as machine to machine (M2M) communication, which is specially designed for cross‐platform integration. In many industries, smart homes, smart cities, smart agriculture, government, connected devices, security, healthcare, education, public safety, and supply chain management. Internet of things (IoT) and machine to machine communication have to be implemented in near future. Also, this paper gives an in depth view about the different M2M techniques with interconnected IoT for truly connected, smart, and sustainable world
Smart vehicle management by using sensors and an IoT based black box
Get PDFAs the number of transports on the road increases every day, so does the number of accidents. Reckless driving and consuming alcohol are two of the leading causes of accidents. Apart from these issues, the safety of humans and vehicles is also critical. A thorough investigation is required to minimize the accident rate and improve human safety, particularly if an incident occurs. The purpose of this study is to develop a few sensor-based black box system that will help us reduce traffic accidents by continuously providing precise guidance to the driver. At the same time, the evidence will be uploaded to its server for further evaluation. This system also includes a way of detecting drowsiness in the driver. Finally, using global positioning system (GPS) and global system for mobile communications (GSM), the relevant authorities will get information on the vehicle's condition and whereabouts. For security purposes, a panic button is introduced here to get emergency help from the security personnel by detecting the victim’s area
Monitoring and control of single-phase electrical systems using IoT based microcontrollers
Get PDFThe internet of things (IoT) has a significant impact on increasing the efficiency and quality of electricity in large power systems. Smart voltage and current monitoring systems (SVCMS) have been developed using a novel method. Using an Arduino Uno microcontroller and a Wi-Fi module, the integrated SVCMS design measures voltage and current sensor findings and sends the processed data to an Android phone. In order to communicate, the global systems for mobile communication (GSM) module is required. When anything goes wrong, an Android app may be used to notify users by text message or email and help them take the right action. It is possible to remotely monitor and control the operation of a gadget using logical programming techniques in Arduino which results easy load control
Successive cancellation decoding of polar codes using new hybrid processing element
Get PDFPolar codes are one of the best linear block codes that are capacity achieving and incorporating along with it a simplified encoding and decoding routines. Successive cancellation (SC) algorithm is one of the predominantly used decoding algorithms due to its low complexity. It has broad scopes for hardware architecture design and reformulation. For polar code, the trade-off among the long latency and the silicon area of the SC algorithm is a bottleneck for the design of a high throughput polar decoder. The available prior SC polar decoder designs have higher area requirements for higher block length. This paper introduces a unique reformulation of the processing element (PE) block of SC decoding. The proposed reformulation leads to two benefits: firstly, critical path and hardware complexity of the PE are meaningfully reduced by using a unified adder block. Secondly, the silicon area requirement and the power consumption were also reduced considerably without any loss in performance. The proposed PE is used to build the decoder for various block lengths. Moreover, a Gate-level analysis of the proposed decoder has revealed that the design attains an 18% area reduction and 38% reduction in power consumption over the conventional one with similar performance
Pre-current amplifier based transimpedance amplifier for biosensors
Get PDFIn this paper, we present current amplifier based transimpedance amplifier (TIA) for biosensor applications. Proposed design has low-noise, high Transimpedance gain that can be used for low current measurement applications. The current amplifier based TIA is implemented in order to resolve the fabrication issues related to high value feedback resistor. In this design, the input block to TIA is a low amplitude current amplifier. The designed amplifier is implemented in 90 nm complementary metal-oxide semiconductor (CMOS) technology. The design achieves transimpedance gain of 800 kΩ with a bandwidth of 5 kHz and input referred current noise is of 0.152 pA/√ for an input of 41 nA bypassed from current amplifier with input of 200 pA
An FPGA application of home security code using verilog
Get PDFTraditional entrance keys performed a number of drawbacks, including the ease with which they can be stolen, duplicated, or misplaced, allowing unauthorized people to gain access to cash, valuables, and other important documents. As known, most digital electronic entrance locks use application specific integrated circuits (ASICs) as based, which have the disadvantage of being unable to be reconfigured, as opposed to field programmable gate arrays (FPGA). This project proposed a home security code lock using verilog hardware descriptive language (HDL) with two unlocking modes, using a button or a keypad which can be changed using a switch. The 7-segment on the Altera DE2-115 trainer board is used to display the passcode press by the keypad. The result of simulation on the keypad using finite state machine (FSM) technique was fulfill the theoretical concept in which it will go to the next state each time the correct input or passcode was entered. When the wrong input or passcode was entered, it will be entered to reset mode. As the conclusion, a fully comply output according to the theoretical FSM concept is fully achieved in this project
Features measurement analysis of pull-in voltage for embedded MEMS
Get PDFThe embedded micro electro mechanical systems (MEMS) is a technology that is creating a new era in all fields and especially in the internet of things (IoT) field. MEMS are necessary components for the realization of tiny micro/nano circuits. For this reason, designers are facing many challenges in designing embedded MEMS for achieving efficient products. The pull-in voltage is one of the most important parameters of MEMS design. In this work, we are interested in the analysis of some geometrical and mechanical parameters for the pull-in. The objective is to study of the concept of pull-in voltage in order to reduce it. First, we made a simulation to choose the appropriate material achieving a lower pull-in voltage. Then, we analysed the impact of geometrical parameters on the pull-in voltage. In this work, Finite element method using COMSOL Multiphysics® software is employed to compute the Pull-in voltage and study the behaviour of the MEMS Switch in order to optimize it. Pull-in voltage can be reduced by careful selection of the cantilever material and it can be further reduced by changing the beam parameters