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Authors:Prateek Srivastava; Krishna Kumar Mishra, Tanmay Dubey Abstract: In this research, we present a system that uses sensors to identify a person's heart rate utilizing heartbeat sensing even if they are at home. The idea is to detect a heart attack early enough that the patient can receive medical help within the first few hours. As a result, his or her chances of survival are considerably increased. Here we use the AD8232 sensor for the cardiography of the heart to check the ECG and upload the data to the IOT platform Ubidots and IFTTT, so that the doctor can check it on the real time basis and suggest the precautions if any needed. From a technical standpoint, the Internet of Things (IoT) is fast gaining traction in a variety of fields, particularly personalized healthcare. Meanwhile, the IoT framework's body are a sensor network (BASN) has been widely used for ubiquitous health monitoring, for example. Monitoring of the ECG This project's major goal is to provide real-time personal health monitoring. In order to offer real-time health monitoring, it uses the BASN (body as a sensor network) infrastructure. The heartbeat, body temperature, and pulse sensors are among the sensors that have been embedded. Second, the bulk of present health monitoring systems require a smartphone for data processing, display, and transmission, which will have an influence on the smartphone's routine everyday use. The data collected by BASN is streamed directly to the cloud of the Smart Cardiazmo watch, but a lightweight wearable LCD can be incorporated as an alternative solution for quick display of real-time data. PubDate: Fri, 11 Feb 2022 08:35:04 +000
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Authors:Abhiram Patil, Snehal Mali, Suksham ; Suyash Soni, Vaishali Jabade Abstract: It has been a challenge to the automotive world to manufacture the smart vehicle components that contribute to the performance of vehicle operations to adhere due to strict vehicle emission norms. In this context, engine operations need to carry systematically, which helps to maintain the function of the vehicle emission system properly. Now a day’s electronic sensors are playing a vital role in smarter vehicle component operation. In-vehicle exhaust gas recirculation system is responsible to control the emission in diesel and petrol engines vehicle. Many times due to fault in vehicle exhaust gas recirculation system, vehicle engine gets heated drastically that causes to seize the engine and also lose the control on the emission of gases. At present faults in the exhaust gas, recirculation system is diagnosed mostly after the failure of exhaust gas recirculation, at the vehicle repair center, with the help of a knowledge base and manual observations. It is essential to predict earlier exhaust gas recirculation failure possibilities to avoid vehicle engine impact and emission operations. This paper discusses the use of machine learning techniques to predict the exhaust gas recirculation failure possibilities with a support vector machine classifier. To predict exhaust gas recirculation status effectively its correlated three parameters like coolant level, exhausted particle temperature present in the cold exhaust gas recirculation pipe, and boost temperature sensor is considered. Overall 94.11% prediction accuracy using the support vectors machine is achieved. PubDate: Thu, 03 Feb 2022 08:58:52 +000
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Authors:Rahul Kumar, Shalini Rajawat, Sachin ; Piyush Gupta Abstract: Right now, novel advancing traffic control structure which can without a lot of a stretch keep traffic in charge utilizing picture managing systems is introduced. As of now, web camera is utilized in every time of the automatic traffic control light so as to click photos of the streets where the traffic possibility will definitely happen. Fuse of vehicles in these photographs is settled utilizing picture managing instruments in Matlab and unique timings are appropriated by the tally near by the greenlight sign for the vehicles to pass. In the proposed-framework, the green-light and red-light signs are tended to utilizing Light Emitting didodes and the variable clock for the green-light signal is tended by the help of seven-segment display. PubDate: Thu, 03 Feb 2022 08:58:35 +000
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Authors:Sateesh Kourav; Sunil Shah Abstract: Proposed design of an Area and Speed optimized field arithmetic logic unit (FALU) for modern computing of advanced processors, as we are aware that in most of the DSP (Digital Signal Processors) FALU is a critical component for continuous calculation of signs and ongoing information to meet the constant situation of sign handling it is exceptionally needed to make calculation quicker as could be expected so we have thought of thought to configuration quick FALU. The chip region is one more necessary to plan a smaller module and less power. A FALU module has three sub-modules FM, FA and WB, advancing these we can enhance by and large plan we have gone through different methodologies for Floating augmentation and drifting expansion we intend to involve Mitchell calculation for duplication and Wallace for expansion and we will utilize coarse grain of Vertex-2 for generally coherent activities. We have a proposition to blend Mitchell and Wallace procedures for planning FM and FA submodules and to configuration top module of plan pecking order including coarse-grain rationale modules WB's alongside FA and FM. Their top module is a 16-digit FALU module. PubDate: Thu, 03 Feb 2022 08:58:07 +000
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Authors:Alimi Olasunkanmi Maruf; Afariogun AbdulKabir Eniola, Saheed Yakubu Kayode Abstract: Embedded software originally controlled hardware but algorithm and software developed determine mode of control and action expected of the hardware. Arduino hardware microcontroller board called Arduino UNO is one of the best electronics boards with coding these days while many attendance systems developed today are mostly one-way. Many developing and underdeveloped countries cannot guaranty 24/7 electricity and strong network connection or data for fully online attendance system. Based on this assertion, enhanced system was developed using Arduino UNO R3, RFID Reader, and Ethernet Shield for web-based or online version while Data Logger was used for Local or manual version and RFID cards for individual’s identity. Optimized one was designed, developed and software was embedded using Arduino codes to control the machine. The machine was able to store student attendance on SD-card for manual while it was able to store in database online for web-based type. These two types give opportunity to individual assessor or lecturer to store on SD card and have access with ease while web-based gives room for online access while on transit. PubDate: Thu, 03 Feb 2022 08:38:56 +000
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