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2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)最新文献

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Design and Implementation of Switched Capacitor Cascaded Multilevel Inverter for Symmetric Sequence 对称序列开关电容级联多电平逆变器的设计与实现
2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE) Pub Date : 2022-12-16 DOI: 10.1109/ICATIECE56365.2022.10047769
Yashaswini R, S. B
{"title":"Design and Implementation of Switched Capacitor Cascaded Multilevel Inverter for Symmetric Sequence","authors":"Yashaswini R, S. B","doi":"10.1109/ICATIECE56365.2022.10047769","DOIUrl":"https://doi.org/10.1109/ICATIECE56365.2022.10047769","url":null,"abstract":"The new nine-level multilevel inverter (MLI) topology that utilizes Unipolar Pulse Width Modulation is proposed. It provides maximum output voltage level while using the minimum dc source and switches. The concept is implemented on a 9-level symmetric MLI. Multi carrier unipolar pulse width modulation technique is adopted to create the switching pulses. Total harmonic distortion (THD) simulations for both voltage and current waveforms have been performed. Comparison is performed for different topologies with proposed topology. The simulation tests for new proposed MLI is done in a MATLAB/Simulink. The newly proposed topology of 9 level MLI is implemented in hardware.","PeriodicalId":199942,"journal":{"name":"2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"28 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120886093","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
Efficient Path Plannning for Mobile Sink using Salp Swarm Technique in IoT-Het Networks 基于Salp群技术的iot - heat网络移动Sink路径规划
2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE) Pub Date : 2022-12-16 DOI: 10.1109/ICATIECE56365.2022.10046683
Anil Sharma, Manisha Sharma
{"title":"Efficient Path Plannning for Mobile Sink using Salp Swarm Technique in IoT-Het Networks","authors":"Anil Sharma, Manisha Sharma","doi":"10.1109/ICATIECE56365.2022.10046683","DOIUrl":"https://doi.org/10.1109/ICATIECE56365.2022.10046683","url":null,"abstract":"For this reason, mobile sinks (MS) have already seen extensive application due to their ability to provide network-wide energy consumption parity and offer implicit load balancing. These nodes form what is known as a cluster topology, and the process of constructing one is known as clustering. An effective route finding system is provided in this study that does more than just solve the aforementioned problem; it also pinpoints where the MS must make pit stops for the transmission of data to be completely trustworthy. Specifically, the Salp Swarm Optimal solution for IoT networks is used, whose primary goal is to reduce the overall grouping time required by the suggested system. The target sites that make up the MS's route are decided using the circumferential visit approach. The results of the performance study demonstrate that the suggested strategy extends the life of the network by decreasing the required number of cluster updates and the time it takes to complete each update.","PeriodicalId":199942,"journal":{"name":"2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"68 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120986156","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
5G based Edge Computing for Internet of Medical Things in Fast Healthcare Data Processing and Management 基于5G边缘计算的医疗物联网快速医疗数据处理与管理
2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE) Pub Date : 2022-12-16 DOI: 10.1109/ICATIECE56365.2022.10047468
Sunita Rao, Neeraj Kumari
{"title":"5G based Edge Computing for Internet of Medical Things in Fast Healthcare Data Processing and Management","authors":"Sunita Rao, Neeraj Kumari","doi":"10.1109/ICATIECE56365.2022.10047468","DOIUrl":"https://doi.org/10.1109/ICATIECE56365.2022.10047468","url":null,"abstract":"Internet of Medical Things is one of the fastest growing fields in technology, and it is predicted to bring about the largest technological delivery ever. Medical systems have been pushed to improve online services across the board by the COVID-19 pandemic, as the edge-enabled Online learning system in the healthcare system offers incredible opportunities. With the introduction of cutting-edge digital health technologies, patients will be able to avoid unneeded, preventative hospitalizations. Furthermore, the utilization of adaptable and readily available media by both patients and medical professionals would allow telehealth-based medical platforms to make healthcare more efficient and economical.","PeriodicalId":199942,"journal":{"name":"2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121092348","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
Financial Management Early Warning Modeling Analysis Based on RBF Neural Network Algorithm 基于RBF神经网络算法的财务管理预警建模分析
2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE) Pub Date : 2022-12-16 DOI: 10.1109/ICATIECE56365.2022.10047262
Tingting Wang
{"title":"Financial Management Early Warning Modeling Analysis Based on RBF Neural Network Algorithm","authors":"Tingting Wang","doi":"10.1109/ICATIECE56365.2022.10047262","DOIUrl":"https://doi.org/10.1109/ICATIECE56365.2022.10047262","url":null,"abstract":"Nowadays, the operation of enterprises is facing a variety of risk problems, among which the financial risk is the most concerned. Because once financial risks accumulate to a certain extent after not take timely measures, will certainly lead to a greater financial crisis. Since China joined the WTO, along with the opening of the banking industry, insurance industry and securities market, the financial risk management environment of enterprises in China has changed, that is, there are stricter requirements. Therefore, strengthening the early warning of enterprise financial crisis is the top priority of modern enterprise development. With the development of science and technology, only with the establishment of enterprise financial management early warning model scientifically, timely discovering the causes of financial crisis, and taking effective preventive measures, can we avoid the occurrence of financial crisis from the source. Based on the RBF neural network algorithm, we build the enterprise financial crisis early warning model, and use the advanced scientific and technological means to avoid the financial crisis. The paper uses the literature research method, quantitative analysis method and qualitative analysis method, expounds the basic theory, the financial crisis simulation experiment, comparing the traditional early warning model, the research results show that the built model has a high accuracy (78%, 75%), timely capture risk signals, help managers implement preventive measures, minimize the loss caused by risk, to avoid the return of financial risk.","PeriodicalId":199942,"journal":{"name":"2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121313237","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
Design and Development of Blended Learning Platform and its Resources Based on Smart Classroom System 基于智能课堂系统的混合式学习平台及其资源的设计与开发
2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE) Pub Date : 2022-12-16 DOI: 10.1109/ICATIECE56365.2022.10046860
Jiankun Wu
{"title":"Design and Development of Blended Learning Platform and its Resources Based on Smart Classroom System","authors":"Jiankun Wu","doi":"10.1109/ICATIECE56365.2022.10046860","DOIUrl":"https://doi.org/10.1109/ICATIECE56365.2022.10046860","url":null,"abstract":"The smart classroom system is based on the traditional classroom learning, and realizes the management and service of teaching resources with the help of computer technology and network communication. The development of hybrid curriculum resources based on smart platform is a new, efficient and practical system. This paper studies the design of the blended learning platform and its resources based on the smart classroom system, with the purpose of improving the level of modern education and improving students' learning interest and efficiency. This paper mainly uses the experimental method and the comparative method to test the response time and memory of the platform when the number of users varies. The experimental data shows that the maximum response time of the smart classroom hybrid teaching system is 4.65, which is in line with the expected value.","PeriodicalId":199942,"journal":{"name":"2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121987724","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: 1
Design and Development of Smart Cities using Nano generators in 5G-IoT 5G-IoT中使用纳米发电机的智慧城市设计与开发
2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE) Pub Date : 2022-12-16 DOI: 10.1109/ICATIECE56365.2022.10047556
Aloke Raj, Maryam Tahira
{"title":"Design and Development of Smart Cities using Nano generators in 5G-IoT","authors":"Aloke Raj, Maryam Tahira","doi":"10.1109/ICATIECE56365.2022.10047556","DOIUrl":"https://doi.org/10.1109/ICATIECE56365.2022.10047556","url":null,"abstract":"A new digital age, replete with intelligent wireless sensor nodes, will be fully realised once 5G is deployed in the smart cities of the future. NGs are a promising contender for the creation of both clever and proactive identity and wireless sensor nodes because to their low-cost, simple structure, versatility, ease of manufacture, high signal-to-noise ratio, and several operating modes with broad application. In this age of digitization, climate change has emerged as a major international concern. Future smart cities will be able to significantly contribute to global climate mitigation, global climate change, and decarburization via the employment of NG in the form of a gigantic energy collecting system, particularly blue electricity and wind energy. In the next 30 years, three megatrends are projected to emerge: vast urbanization via fully smart gadgets, ego bioelectronics for individualized health, and comprehensive investigation of renewable energy sources to mitigate environmental change and energy crises.","PeriodicalId":199942,"journal":{"name":"2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126624467","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
Collaborative Edge Data Caching In Online 在线协同边缘数据缓存
2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE) Pub Date : 2022-12-16 DOI: 10.1109/ICATIECE56365.2022.10047075
Aswathy Rh, K. S., Nivetha N, Pupitha P
{"title":"Collaborative Edge Data Caching In Online","authors":"Aswathy Rh, K. S., Nivetha N, Pupitha P","doi":"10.1109/ICATIECE56365.2022.10047075","DOIUrl":"https://doi.org/10.1109/ICATIECE56365.2022.10047075","url":null,"abstract":"In an edge computing (EC) environment, edge servers located at base points supply nearby app handlers with highly available figuring and storing data. From the app vendor's perspective, reserving data on edge servers can reduce the time it takes for app users to retrieve data. On the other hand, because of its limited scope, an edge server typically has insufficient data. This work seeks to lower system costs associated with information migration, fact caching, and other costs by resolving the collaborative caching conundrum in the EC environment. An NP-complete problem with a limited optimization statement is the collaborative edge data caching problem (CEDC). OCEDC is an operational algorithm for resolving the CEDC issue during all specified window times. OCEDC is an operational algorithm for solving the CEDC problem in all time slots suggested. OCEDC is based on Lyapunov boost and provides verifiable near-optimal results while operating online without the need for future data. OCEDC is tested on a real-world dataset, and the findings show that it outdoes quarter sampling alternatives by a significant margin.","PeriodicalId":199942,"journal":{"name":"2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125478930","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
CNN-based Classification over Wireless Capsule Endoscopy Bleeding Images 基于cnn的无线胶囊内镜出血图像分类
2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE) Pub Date : 2022-12-16 DOI: 10.1109/ICATIECE56365.2022.10047663
Sunkulp Goel, Anuj K. Shah
{"title":"CNN-based Classification over Wireless Capsule Endoscopy Bleeding Images","authors":"Sunkulp Goel, Anuj K. Shah","doi":"10.1109/ICATIECE56365.2022.10047663","DOIUrl":"https://doi.org/10.1109/ICATIECE56365.2022.10047663","url":null,"abstract":"To examine GI diseases and take painless images of the gut, wireless capsule endoscopy (WCE) is a useful technique. However, various issues, including effectiveness, tolerance, safety, and performance, make it difficult for widespread use and adaption. The purpose of this research is to develop a system that will analyse WCE photos, spot problems, and provide useful information to doctors. In order to categorise WCE bleedy photos, the authors of this paper recommend using a convolutional neural network (CNN). Precision, specificity, recall, F1 measure, and Cohen's kappa are used to assess the BIR's performance on a dataset consisting of 1650 WCE pictures during both training and testing. The obtained values of 0.993 for accuracy, 1.000 for precision, 0.994 for recall, 0.997 for the F1 score, and 0.995 for Cohen's kappa are encouraging. When applied to the Google-collected WCE picture dataset, the BIR model achieves an accuracy of 0.978, which is higher than that of state-of-the-art methods.","PeriodicalId":199942,"journal":{"name":"2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122329698","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: 1
Evaluation of Twitter Sentiment towards COVID-19 推特对COVID-19情绪的评价
2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE) Pub Date : 2022-12-16 DOI: 10.1109/ICATIECE56365.2022.10047332
V. Mohan, S. Vineetha, G. Divya, Rekha Gangula
{"title":"Evaluation of Twitter Sentiment towards COVID-19","authors":"V. Mohan, S. Vineetha, G. Divya, Rekha Gangula","doi":"10.1109/ICATIECE56365.2022.10047332","DOIUrl":"https://doi.org/10.1109/ICATIECE56365.2022.10047332","url":null,"abstract":"The novel (COVID-19) pandemic is the most talked subject in web-based media stages in 2020. Individuals are utilizing web-based media, for example, Twitter to offer their viewpoint and offer data on various issues identified with the COVID-19 in this stay-at-home request. Here we have explored the conclusion and feeling of people groups in the U.S.A regarding the matter of resuming. We pick the online media stage Twitter for our examination and study the Tweets to find the nostalgic point of view, enthusiastic viewpoint, and setting off words towards the returning. During this COVID-19 pandemic, analysts have made some examination on different online media dataset with respect to lockdown and stay at home. Be that as it may, in our examination, we are especially in trigged to dissect public estimation on returning. Our significant finding is that when all states resorted to lockdown in March, individuals showed predominant feeling of dread, yet as resuming begins individuals have less dread. While this might be valid, because of this resuming stage day by day sure case surprising contrasted with the lockdown circumstance. Generally speaking, individuals have a more positive assumption towards the circumstance of resuming.","PeriodicalId":199942,"journal":{"name":"2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128277825","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
Logistics Distribution Route Optimization Algorithm Based on Deep Learning 基于深度学习的物流配送路线优化算法
2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE) Pub Date : 2022-12-16 DOI: 10.1109/ICATIECE56365.2022.10047683
Fang Siruo
{"title":"Logistics Distribution Route Optimization Algorithm Based on Deep Learning","authors":"Fang Siruo","doi":"10.1109/ICATIECE56365.2022.10047683","DOIUrl":"https://doi.org/10.1109/ICATIECE56365.2022.10047683","url":null,"abstract":"This is a research work on the algorithm that can be used to optimize the distribution path. Based on deep learning technology, it will be able to find the shortest path in the net-work. What are the advantages? The main advantage of this al-gorithm is that it can find the best path without any human in-tervention. This means that there will be no error or loss of data and time. The algorithm also runs very fast and has an easy-to-use interface, so everyone can easily understand how to use it. In addition, this method does not require much space and stor-age space, because they only use dee In the second stage, the im-proved genetic algorithm is used to solve the line optimization problem of individual TSP model for the customer points in each group. The main purpose of the algorithm is to improve the efficiency of transportation routes, which means that it can be used to optimize transportation routes to reduce fuel consumption, time and cost. Deep learning algorithm: what are its ad-vantages? Deep learning algorithm can identify the patterns in the data set and make corresponding decisions. They have be-come very popular because they provide a high level of accuracy at low cost.","PeriodicalId":199942,"journal":{"name":"2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133951009","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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