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7th International Conference on Computing in Engineering & Technology (ICCET 2022)最新文献

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Efficient ADD/SHIFT architecture for transposed structure of FIR filter using verilog HDL 基于verilog HDL的FIR滤波器转置结构的高效ADD/SHIFT结构
7th International Conference on Computing in Engineering & Technology (ICCET 2022) Pub Date : 1900-01-01 DOI: 10.1049/icp.2022.0644
A. Oruganti, P. Biroju
{"title":"Efficient ADD/SHIFT architecture for transposed structure of FIR filter using verilog HDL","authors":"A. Oruganti, P. Biroju","doi":"10.1049/icp.2022.0644","DOIUrl":"https://doi.org/10.1049/icp.2022.0644","url":null,"abstract":"A low-power VLSI system is used to construct the novel filter design that uses the shift and adds a multiplier. The new FIR is similar indirect and translated to the previous FIR models, such as the direct form and earlier shift structure. The implementation is done on the Transposed structural characteristic of FIR since it is beneficial in low power applications. The Smartphone's residual power was determined to be higher at high frequencies. Though its filters are designed to be as power-efficient as possible, different trade-offs are conceivable. The design was superior in terms of reduced power/area. The novel FIR filter is based on the FPGA device and specified using the Xilinx ise/Vivado Design Suite's in-built multiplies and complete adder.","PeriodicalId":224655,"journal":{"name":"7th International Conference on Computing in Engineering & Technology (ICCET 2022)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126377305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An effective method for charging electric vehicles through wireless power transfer system 一种通过无线电力传输系统为电动汽车充电的有效方法
7th International Conference on Computing in Engineering & Technology (ICCET 2022) Pub Date : 1900-01-01 DOI: 10.1049/icp.2022.0636
R. Ponraj, K. Badrinath, V. Ravindran, S. Ragunathan, K. Swaminathan
{"title":"An effective method for charging electric vehicles through wireless power transfer system","authors":"R. Ponraj, K. Badrinath, V. Ravindran, S. Ragunathan, K. Swaminathan","doi":"10.1049/icp.2022.0636","DOIUrl":"https://doi.org/10.1049/icp.2022.0636","url":null,"abstract":"Wireless Power Transfer (WPT) systems transfer electricity without a wired connection from a source to a charge. The advantages of wired compared with cable systems such as no exposed wires, ease of loading, and fearless power transmission into adverse environmental conditions make the WPTs appeal to many industrial applications. Some companies have paid attention to the adoption of WPTs for charging the onboard batteries of electrical vehicles (EV), and efforts are made to develop and improve the various topologies associated with these systems. WPT is obtained by the cost-effective induction of two spins known as the transmitter and the receiver. The transmitter bobbins are entered into the road in EV charging applications, and receiver bumps are placed in the vehicle. Resonant type inductive WPT is common for medium-high power transmission applications such as EV charging because its effectiveness is increased. The Wireless Power Transfer emerged as the fastest-growing technology for power transmission without cables. This field is getting new proposals and advancements in technology, making this more reliable and efficient. Hence, this becomes a field for the newly manufactured electric vehicles that rely only on wireless charging. Here, the wireless power transfer takes place with the help of ‘Inductive & Magnetic Coupling.’","PeriodicalId":224655,"journal":{"name":"7th International Conference on Computing in Engineering & Technology (ICCET 2022)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126551872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Violence detection for surveillance systems using lightweight CNN models 使用轻量级CNN模型的监视系统暴力检测
7th International Conference on Computing in Engineering & Technology (ICCET 2022) Pub Date : 1900-01-01 DOI: 10.1049/icp.2022.0587
N. Suba, A. Verma, P. Baviskar, S. Varma
{"title":"Violence detection for surveillance systems using lightweight CNN models","authors":"N. Suba, A. Verma, P. Baviskar, S. Varma","doi":"10.1049/icp.2022.0587","DOIUrl":"https://doi.org/10.1049/icp.2022.0587","url":null,"abstract":"Due to significant safety concerns, today, many places are filled with CCTV cameras, but it still uses manual security to overlook these, which leaves much space for human error, be it negligence or a dangerous situation. This may result in many anomalies such as violence, hostage, or fires. To prevent this, an intelligent and automated system has been implemented that tries to overcome this using deep learning techniques. Using Deep Learning models utilizing Convolutional Neural Networks (CNN), specifically the lightweight models - MobileNetV2 and ResNet50V2 are used to identify threat movements in the given frames over three datasets, namely UCF crime, Real life violence situations, and UBI-fights. The violence in the video is detected using frames, and accuracy is measured. A threat is detected by the system from the video frame, based on which the system for the situation generates an alert. In extreme cases, alerts are sent directly to nearby police stations and emergency services with accurate location information while also indicating the suspicious activities at an instance of time.","PeriodicalId":224655,"journal":{"name":"7th International Conference on Computing in Engineering & Technology (ICCET 2022)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125523836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Prediction of EV battery SOC using a charging and discharging model 基于充放电模型的电动汽车电池荷电状态预测
7th International Conference on Computing in Engineering & Technology (ICCET 2022) Pub Date : 1900-01-01 DOI: 10.1049/icp.2022.0637
V. Ravindran, A. Durgadevi, R. Ponraj, S. Ragunathan, K. Swaminathan
{"title":"Prediction of EV battery SOC using a charging and discharging model","authors":"V. Ravindran, A. Durgadevi, R. Ponraj, S. Ragunathan, K. Swaminathan","doi":"10.1049/icp.2022.0637","DOIUrl":"https://doi.org/10.1049/icp.2022.0637","url":null,"abstract":"Li-ion battery packs, which are increasingly being utilized in Electric Vehicles (EV), Hybrid Electric Vehicles (HEV), Unmanned Aerial Vehicles (UAV), and smart grid systems, require accurate estimation of State of Charge (SOC). The SOC, often known as the actual quantity of battery energy remaining, is a critical factor in guaranteeing the performance and consistency of lithium-ion batteries. Modern lithium-based batteries can be safeguarded against damage and mishaps by a Battery Management System. A lithium battery management system can ensure that the battery operates in a reliable and secure environment, hence increasing the battery's lifespan. A battery management system for Lithium-ion batteries is presented in this research. Presenting a charging and discharging model. The proposed system is simulated using MATLAB/Simulink, and the results are presented.","PeriodicalId":224655,"journal":{"name":"7th International Conference on Computing in Engineering & Technology (ICCET 2022)","volume":"132 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125795670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Benefits and barriers of cloud computing in online learning 云计算在在线学习中的好处和障碍
7th International Conference on Computing in Engineering & Technology (ICCET 2022) Pub Date : 1900-01-01 DOI: 10.1049/icp.2022.0603
M. Vashist, Y. Chugh
{"title":"Benefits and barriers of cloud computing in online learning","authors":"M. Vashist, Y. Chugh","doi":"10.1049/icp.2022.0603","DOIUrl":"https://doi.org/10.1049/icp.2022.0603","url":null,"abstract":"Online learning is the new way of education. It is flexible, affordable, comfortable, and even self-paced. The hybrid model of learning will persist for a long time. Thus, much research is being undertaken to make the process smooth. Cloud computing- the new IT paradigm possesses the power to change the way of resource consumption in learning today. It is expected to impact the nature of education in a few years. However, cloud computing has not been universally adopted for online learning due to its challenges despite its benefits. This study aims at reporting these challenges and ranking them based on their impact using TISM (Total Interpretive Structural Modelling). MICMAC analysis categorizes these challenges as per their driving power and dependence power. The outcomes of the study brief about these challenges and can help guide future research in this area.","PeriodicalId":224655,"journal":{"name":"7th International Conference on Computing in Engineering & Technology (ICCET 2022)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128202900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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