2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC)最新文献_第5页

Blockchain Based Solution for Secured Transmission of Examination Paper 基于区块链的试卷安全传输解决方案

2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC) Pub Date : 2022-12-15 DOI: 10.1109/iSSSC56467.2022.10051340

S. Kapse, Mrudula Umalkar, Atharva Gajbe, Kaushik Vrudhula, Ritik Gour, Shital Telrandhe

{"title":"Blockchain Based Solution for Secured Transmission of Examination Paper","authors":"S. Kapse, Mrudula Umalkar, Atharva Gajbe, Kaushik Vrudhula, Ritik Gour, Shital Telrandhe","doi":"10.1109/iSSSC56467.2022.10051340","DOIUrl":"https://doi.org/10.1109/iSSSC56467.2022.10051340","url":null,"abstract":"In a traditional examination management system, a request for setting question papers and the actual question papers from the Controller of Examination (COE) to various teachers and vice-versa, is done physically. Further, the work of sending the finalized paper from the COE to various superintendents of examination is also done physically. In this system, the need for a safe and secure method of setting up and circulating the examination paper is high. The work of sending the finalized paper from COE to various superintendents of examination is done physically, which raises a lot of security concerns. The Blockchain-based system will eliminate the need for physical circulation of the paper, which in turn will reduce extra costs and time required for the paper. The proposed system fulfills all the above criteria with many different technologies working together as one system to provide the desired functionality. The proposed system uses a combination of Blockchain and Interplanetary File System (IPFS) to achieve decentralization and secure peer-to-peer communication between teacher and superintendent.","PeriodicalId":334645,"journal":{"name":"2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131899706","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

IoT Assisted Farming using ML techniques 物联网辅助农业使用机器学习技术

2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC) Pub Date : 2022-12-15 DOI: 10.1109/iSSSC56467.2022.10051428

Manorama Subudhi, Kanhu Charan Bhuyan, A. Dastidar

{"title":"IoT Assisted Farming using ML techniques","authors":"Manorama Subudhi, Kanhu Charan Bhuyan, A. Dastidar","doi":"10.1109/iSSSC56467.2022.10051428","DOIUrl":"https://doi.org/10.1109/iSSSC56467.2022.10051428","url":null,"abstract":"IoT has brought a new vision of smartness into every technology. Smart agriculture is one of the emerging applications of IoT which can add to the economic growth of any country. Irrigation is an important part of agriculture and automated irrigation helps the farmer to monitor the requirement of water remotely. The objective of this work is to develop a system to monitor the water requirement of the crops accurately and irrigation prediction with the assistance of Machine Learning Algorithms. In this paper, a NodeMCU based Smart Farming System is designed using Blynk and ThingSpeak cloud for an automated irrigation system. Statistics of different parameters such as temperature, rain, moisture content in air as well as soil and motion are collected using ThingSpeak Cloud using the NodeMCU. A Set of Machine Learning (ML) models like Decision Tree, K-Nearest Neighbour,Random Forest and Logistic Regression models has being utilized to analyze the data to predict irrigation with high accuracy. Among all the models it is observed that the Logistic Regression Model gives an accuracy of 99.69 %,a Precision of 98.95%,and 100 % Recall.","PeriodicalId":334645,"journal":{"name":"2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124063164","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

Improvisation in Symmetrical Multilevel Inverter with Less Number of Switches 少开关数对称多电平逆变器的即兴设计

2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC) Pub Date : 2022-12-15 DOI: 10.1109/isssc56467.2022.10051514

R. Singh, Prateek Nigam, K. Thakre

引用次数: 0

Application of SCA Tuned FFOPI Controller for LFC of Nonlinear Power System SCA调谐FFOPI控制器在非线性电力系统LFC中的应用

2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC) Pub Date : 2022-12-15 DOI: 10.1109/iSSSC56467.2022.10051215

Nimai Charan Patel, Pratap Kumar Panigrahi, Dipu Mohanta

{"title":"Application of SCA Tuned FFOPI Controller for LFC of Nonlinear Power System","authors":"Nimai Charan Patel, Pratap Kumar Panigrahi, Dipu Mohanta","doi":"10.1109/iSSSC56467.2022.10051215","DOIUrl":"https://doi.org/10.1109/iSSSC56467.2022.10051215","url":null,"abstract":"Load Frequency Control popularly known as LFC has a significant role in preserving the system stability and providing consistent and quality power to the customers. This paper investigates the LFC of a three area reheat thermal system with nonlinearity such as generation rate constraint (GRC) under load fluctuation. At first, fuzzy proportional integral (FPI) controller is used for the purpose and the gains of the controller are tweaked by the sine cosine algorithm (SCA) but the controller fails to stabilize the system due to the system nonlinearity. So, the improved version of FPI controller, known as fuzzy fractional order proportional integral (FFOPI) controller is introduced and tuned by the particle swarm optimization (PSO) and SCA independently. For implementing the optimization process, integral time absolute error (ITAE) is selected as the objective function (OF). The response parameters of the frequency and tie-line power are analyzed with PSO tuned FFOPI (PSO-FFOPI) and SCA tuned FFOPI (SCA-FFOPI) controller and it is established that SCA-FFOPI controller delivers improved control performance than the other controller.","PeriodicalId":334645,"journal":{"name":"2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128784531","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

Conceptual Review of Hybrid Energy Storage Technologies depending on Controllers for Electric Vehicle Applications 基于控制器的电动汽车混合储能技术概念综述

2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC) Pub Date : 2022-12-15 DOI: 10.1109/iSSSC56467.2022.10051453

M. Lakshminarayana, P. Prasad, E. Vidya Sagar

{"title":"Conceptual Review of Hybrid Energy Storage Technologies depending on Controllers for Electric Vehicle Applications","authors":"M. Lakshminarayana, P. Prasad, E. Vidya Sagar","doi":"10.1109/iSSSC56467.2022.10051453","DOIUrl":"https://doi.org/10.1109/iSSSC56467.2022.10051453","url":null,"abstract":"Hybrid electric cars are a viable alternative to traditional gasoline-powered vehicles, and so efficient and intelligent energy management is critical to the hybrid electric vehicle market’s worldwide growth. Recent advancements in the realm of intelligent approaches, as well as the demand for intelligent energy systems, have paved the way for the creation of energy-efficient hybrid electric cars. The topic of energy management becomes critical in order to improve hybrid electric vehicle autonomy while also lowering expenses. As a result, a unique strategy based on intelligent approaches will be offered to operate plug-in hybrid electric cars in front of various client profiles. This research paper presents the Conceptual review on Intelligent controller and the Intelligent controller using battery state of charge as a decisive criterion in improving the battery performance of a plug-in hybrid electric car. The advanced controller uses the battery state of charge and engine speed as inputs to determine the precise torque that must be converted to energy that may be utilised to charge the battery. This is accomplished by adjusting the forward gain value. The value of forward gain is determined using an intelligent controller and an advanced intelligent controller.","PeriodicalId":334645,"journal":{"name":"2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116959248","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

Ontology Assisted Unsupervised Clustering for Interpreting Microarray Gene Expression Profiles 本体辅助无监督聚类分析微阵列基因表达谱

2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC) Pub Date : 2022-12-15 DOI: 10.1109/iSSSC56467.2022.10051497

R. Pradhan, Susmita Pati

{"title":"Ontology Assisted Unsupervised Clustering for Interpreting Microarray Gene Expression Profiles","authors":"R. Pradhan, Susmita Pati","doi":"10.1109/iSSSC56467.2022.10051497","DOIUrl":"https://doi.org/10.1109/iSSSC56467.2022.10051497","url":null,"abstract":"Analysis of microarray gene expression profiles has been a routine step in finding the relationships between gene and associated disease. While it is possible to measure thousands of gene activities simultaneously using microarray technology, finding functionally similar genes or gene patterns under a given set of experimental conditions remains challenging. Although unsupervised clustering has been the basic composition of microarray data analysis, it neither provides the proof of gene-gene relationship nor the best possible grouping by gene function. Therefore, in this work, we have developed a framework that combined gene ontology with unsupervised clustering to infer expression profiles of Saccharomyces cervisiae, measured in cultured yeast, and identified key mitochondrial genes that are likely involved in diauxic-shift. By combining gene ontology with two unsupervised clustering techniques, a set of regulatory genes were identified showing the relationships between mitochondrial pathways of ATP synthesis and glucose fermentation in cultured yeast. It was demonstrated that ontology-based cluster interpretation provides a powerful tool for exploratory analysis of microarray time series data, and improves the cluster interpretation during gene-pathway mapping. The proposed method can be applied to study genome-scale metabolic regulation in other cell types.","PeriodicalId":334645,"journal":{"name":"2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115775935","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

iSSSC 2022 Panel Discussion iSSSC 2022小组讨论

2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC) Pub Date : 2022-12-15 DOI: 10.1109/isssc56467.2022.10051181

引用次数: 0

Implementation of an Indoor Deep Water Culture Farming System Using IoT 利用物联网实现室内深水养殖系统

2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC) Pub Date : 2022-12-15 DOI: 10.1109/iSSSC56467.2022.10051358

Rudra Swarup Sahoo, Chandan Kumar Tripathy, Umakanta Samantasinghar, Priyabrata Biswal

{"title":"Implementation of an Indoor Deep Water Culture Farming System Using IoT","authors":"Rudra Swarup Sahoo, Chandan Kumar Tripathy, Umakanta Samantasinghar, Priyabrata Biswal","doi":"10.1109/iSSSC56467.2022.10051358","DOIUrl":"https://doi.org/10.1109/iSSSC56467.2022.10051358","url":null,"abstract":"Rapid growth in urbanization and swift shrinkage in soil fertility puts adverse effects of over-farming in the reduced land area, resulting in a generation shift expected from traditional farming to its alternative. Hydroponic farming came as one of the solutions to this problem. In this work, we demonstrated the design and testing of a hydroponics-based agriculture system, where IoT devices are utilized for monitoring and controlling different parameters. Temperature, humidity, air quality, and water level sensors are mounted and interfaced with the microcontroller to monitor respective data from the plantation area. Data transmission to the Cayenne cloud is carried out, and the real-time data can be viewed via the Blynk app as well as offline on LCD. The data in the Cayenne cloud is analyzed to improve productivity in agriculture and hydroponics. The data collected from source sensors are stored in the cloud as information and shared publicly. The system also consists of a fire sensor to alert the user in case of any emergencies. There is an automation part that will check the water level and fill the tub with water. The proposed system is developed and validated experimentally for an indoor system.","PeriodicalId":334645,"journal":{"name":"2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125204613","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 Efficient Inter-Vehicle Communication Framework on Road Traffic Accident Detection using OMNET++ and SUMO 基于omnet++和SUMO的道路交通事故检测的高效车际通信框架

2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC) Pub Date : 2022-12-15 DOI: 10.1109/iSSSC56467.2022.10051410

Sannidhya Bajpai, G. K. Sahoo, Santos Kumar Das, Poonam Singh

{"title":"An Efficient Inter-Vehicle Communication Framework on Road Traffic Accident Detection using OMNET++ and SUMO","authors":"Sannidhya Bajpai, G. K. Sahoo, Santos Kumar Das, Poonam Singh","doi":"10.1109/iSSSC56467.2022.10051410","DOIUrl":"https://doi.org/10.1109/iSSSC56467.2022.10051410","url":null,"abstract":"This paper presents an efficient simulation model using OMNET++ and SUMO to establish inter-vehicle communication for proper traffic management and road safety in case of road traffic accidents. The generation of network and traffic simulators, i.e., OMNET++ and SUMO respectively, are connected using \"VEINS\", an open source framework for running network simulation of vehicles. The output is intended to allow different vehicles to communicate with each other in general and on a manually generated map by data packet transfer on specifically triggered events. The packet transfer has been analyzed and the results obtained have shown proper data communication between the nodes of the vehicles indicating that immediate care can be taken to rescue the accident victims. The novelty reflects the performance of using dedicated short-range communication (DSRC) of approximately 300 meters for efficient management of power requirements. Reducing the transmit power to 9mW also makes the system power efficient and the use of the UDP protocol increases the transmission speed, resulting in higher data rates. In the future, the developed model can be adapted according to the requirements of the actions to be taken on different incidents. Different beacons can be added to work according to different models.","PeriodicalId":334645,"journal":{"name":"2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124488098","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

Skin Disease Classification Using Machine Learning and Data Mining Algorithms 基于机器学习和数据挖掘算法的皮肤病分类

2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC) Pub Date : 2022-12-15 DOI: 10.1109/iSSSC56467.2022.10051620

Dr V Vasudha Rani, G. Vasavi, B. Maram

{"title":"Skin Disease Classification Using Machine Learning and Data Mining Algorithms","authors":"Dr V Vasudha Rani, G. Vasavi, B. Maram","doi":"10.1109/iSSSC56467.2022.10051620","DOIUrl":"https://doi.org/10.1109/iSSSC56467.2022.10051620","url":null,"abstract":"Skin is an extraordinary human structure. As a result of inherited traits and environmental variables, skin conditions are the most prevalent worldwide. People frequently neglect the effects of skin diseases in their initial stages. It commonly experienced both well-known and rare diseases. Identifying skin diseases and their kinds in the medical field is a very difficult process. It can be very challenging to identify the precise type of disease because of the intricacy of human skin complexion as well as the visual proximity effect of the conditions. As a result, it's critical to identify and categorize skin diseases as soon as they are discovered. The most ambiguous and challenging field in science is therefore the detection of human skin diseases. For segmentation and diagnosis, ML techniques are frequently employed in the biomedical industry. These techniques decide using features extracted from photos as their input. To obtain high classification accuracy, it is crucial to select appropriate feature extraction techniques along with appropriate Machine Learning (ML) approaches. The classification of skin diseases is discussed in this analysis using ensemble data mining approaches and ML algorithms. In this method, four distinct ML techniques are used to categorize the various kinds of diseases while ensemble approaches are used to increase the classification reliability of skin diseases.","PeriodicalId":334645,"journal":{"name":"2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131560993","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