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Optimal Model Order Reduction of Heavy-Duty Gas Turbine Power Plants 重型燃气轮机电厂最优模型降阶
2021 International Conference on System, Computation, Automation and Networking (ICSCAN) Pub Date : 2021-07-30 DOI: 10.1109/ICSCAN53069.2021.9526390
Kunal, S. K. Jha
{"title":"Optimal Model Order Reduction of Heavy-Duty Gas Turbine Power Plants","authors":"Kunal, S. K. Jha","doi":"10.1109/ICSCAN53069.2021.9526390","DOIUrl":"https://doi.org/10.1109/ICSCAN53069.2021.9526390","url":null,"abstract":"The real time analysis of gas turbine power plants with higher order system would be dreary and costly. To tackle this difficulty, reduced-order 18.2MW rated heavy-duty gas turbine (5001M) has been attained by using different model reduction methods. Routh Approximation method, Routh stability criteria and Padé Approximation mix method, Clustering technique and Padé Approximation mix method are used to reduce the order of the heavy-duty gas turbine power plant system. The results obtained from the methods are compared and analyzed on MATLAB. It is found that Routh stability criteria and Padé Approximation mix method based reduce order model retains the characteristics of 5001M gas turbine. Afterwards the result is improved for this model of reduced order by optimizing their coefficient using Genetic Algorithm. The results indicate that the Genetic Algorithm based reduced order model obtained has response more closer to that of the heavy-duty gas turbine power plant than any other methods used in this paper.","PeriodicalId":393569,"journal":{"name":"2021 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122007373","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
Modeling, Simulation, and Techno-economic Analysis of a Virtual Power Plant: A Case Study in the Perspective of Bangladesh 虚拟电厂的建模、仿真和技术经济分析:以孟加拉为例
2021 International Conference on System, Computation, Automation and Networking (ICSCAN) Pub Date : 2021-07-30 DOI: 10.1109/ICSCAN53069.2021.9526454
M. Islam, Khaled Arju, B. Uddin
{"title":"Modeling, Simulation, and Techno-economic Analysis of a Virtual Power Plant: A Case Study in the Perspective of Bangladesh","authors":"M. Islam, Khaled Arju, B. Uddin","doi":"10.1109/ICSCAN53069.2021.9526454","DOIUrl":"https://doi.org/10.1109/ICSCAN53069.2021.9526454","url":null,"abstract":"Bangladesh, a developing country in the South Asia facing severe load shedding problem due to high density of population and energy crisis. In comparison to all other energy sources, fossil fuels account for the majority of electricity production in this country. Due to lack of smart distribution of energy, the country unable to meets the demand of electricity. Therefore, this research has been taken virtual power plant (VPP) as a solution to develop smart energy distribution system in the country. Basically, VPP can be termed as a combination of distributed generators (DGs), energy storage systems, regulated loads etc., which operated by an energy management system (EMS) in order to control the distributed generation, and improve its exposure in the power markets. Right now, VPP has widely contributing in European and American energy markets, but Bangladesh has yet to introduce it as a new technology for more efficient energy delivery. Due to the shortage of resources, it requires a comprehensive study to investigate the implementation strategy of such kind of technology in perspective of Bangladesh. The main consideration of this work is cost reduction and reliability enhancement of energy delivery. For the case study of Bangladesh, a VPP model is designed for a university campus named IIUC campus, and the developed system is capable of sharing power to the grid. The whole system is controlled by control coordination center (CCC) which is developed by using a logic algorithm. The VPP design and simulations are carried out by using MATLAB –SIMULINK 2016a environment. Finally, the techno-economic analysis is done to compare its effectiveness with respective to the existing system. Results show that the designed VPP-based energy management system reduces about 53% cost with respect to the existing energy distribution system. The VPP technology can be an effective means for the energy management system of Bangladesh.","PeriodicalId":393569,"journal":{"name":"2021 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130537103","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
Smart Infrastructure Monitoring using LoRaWAN Technology 基于LoRaWAN技术的智能基础设施监控
2021 International Conference on System, Computation, Automation and Networking (ICSCAN) Pub Date : 2021-07-30 DOI: 10.1109/ICSCAN53069.2021.9526490
Priyanka V. Chaudhari, A. K. Tiwari, Shardul Pattewar, S. Shelke
{"title":"Smart Infrastructure Monitoring using LoRaWAN Technology","authors":"Priyanka V. Chaudhari, A. K. Tiwari, Shardul Pattewar, S. Shelke","doi":"10.1109/ICSCAN53069.2021.9526490","DOIUrl":"https://doi.org/10.1109/ICSCAN53069.2021.9526490","url":null,"abstract":"An online monitoring system for manhole covers in a smart city environment is proposed. We have used LoRa physical layer for wireless transmission and LoRaWAN protocol for cloud connectivity. The system incorporates sensor nodes, LoRaWAN network and application at the backend. LoRaWAN based IoT has an extremely low power requirement for significant distance transmission. We have employed an accelerometer sensor to monitor the position, removal or harm of manhole covers in sewage systems. When these covers are moved or harmed, the LoRa board transmits the signal, cautioning the nearest gateway associated with The Things Network (TTN), a cloud-based open source LoRaWAN platform. The TTN sends an alarm to the support division of the civic authorities to take corrective actions. Such innovative applications can be displayed for monitoring and controlling different parameters in the smart city.","PeriodicalId":393569,"journal":{"name":"2021 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126761808","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: 7
COVID-19 outbreak forecast in India with respect to nationwide lockdown and unlock using SIR model : COVID-19 Prediction SIR Model 基于SIR模型的印度COVID-19疫情预测:COVID-19预测SIR模型
2021 International Conference on System, Computation, Automation and Networking (ICSCAN) Pub Date : 2021-07-30 DOI: 10.1109/ICSCAN53069.2021.9526414
Avinash Sharma, D. Yadav, Himani Maheshwari, U. Chandra
{"title":"COVID-19 outbreak forecast in India with respect to nationwide lockdown and unlock using SIR model : COVID-19 Prediction SIR Model","authors":"Avinash Sharma, D. Yadav, Himani Maheshwari, U. Chandra","doi":"10.1109/ICSCAN53069.2021.9526414","DOIUrl":"https://doi.org/10.1109/ICSCAN53069.2021.9526414","url":null,"abstract":"Coronavirus is getting to be cerebral pain for world day by day. Number of cases of coronavirus is expanding persistently that straightforwardly irritates the ever yday exercises of human being and devastates the economy of nations. On March 22, 2020 a one-day Janta curfew has been imposed by the Indian government. After three days on 25 March 2020, the mitigation strategy for COVID-19 in the country declared a nineteen-day shutdown. To control the pandemic total four lockdown was implemented, and presently to boost the economy third unlock period with restriction in India are going on. Infection of coronavirus is beneath control in lockdown period but in unlock the infection take the shape of pandemic. Research aimed at predicting the trend of the COVID-19 pandemic in India with data from 1st June 2020 by employing the Susceptible, Infectious and Recovered (SIR) mathematical model. The analytical results suggest, on the basis of many assumption, that the pandemic is expected to shrink in India by about December 2020 and crest around within a week of March 2021 following the completion of the unlock period.","PeriodicalId":393569,"journal":{"name":"2021 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123961801","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
Image Summarizer for the Visually Impaired Using Deep Learning 使用深度学习的视障人士图像摘要器
2021 International Conference on System, Computation, Automation and Networking (ICSCAN) Pub Date : 2021-07-30 DOI: 10.1109/ICSCAN53069.2021.9526465
V. V. N. V. Phani Kumar, V. Phani Teja, A. R. Kumar, V. Harshavardhan, U. Sahith
{"title":"Image Summarizer for the Visually Impaired Using Deep Learning","authors":"V. V. N. V. Phani Kumar, V. Phani Teja, A. R. Kumar, V. Harshavardhan, U. Sahith","doi":"10.1109/ICSCAN53069.2021.9526465","DOIUrl":"https://doi.org/10.1109/ICSCAN53069.2021.9526465","url":null,"abstract":"One of the leading problems for Humanity, particularly in this era where information and people are interconnected with text messages, are visual impairment, or have a learning disability. For this problem we aim to provide a solution that summarizes any input image into meaningful data i.e. we analyse the image data and identify the objects in it and thereby generating vocabulary and generate meaningful sentences accordingly. This can be achieved by the use of multilayer Convolutional Neural Network (CNN) to generate vocabulary describing the images, this includes living as well as non-living things. For this we used ResNet50. And a Long Short Term Memory to construct meaningful sentences using the generated keywords i.e. LSTM will use the information from CNN to help generate a description of the image and we call this, The Image Summarizer. We use the gTTS library to provide the audio output. The audio will be based on the user’s preferred language.","PeriodicalId":393569,"journal":{"name":"2021 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116354345","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
Detection of Anomalous Behaviour in Online Exam towards Automated Proctoring 面向自动化监考的在线考试异常行为检测
2021 International Conference on System, Computation, Automation and Networking (ICSCAN) Pub Date : 2021-07-30 DOI: 10.1109/ICSCAN53069.2021.9526448
Susithra V, Reshma A, Bishruti Gope, S. S
{"title":"Detection of Anomalous Behaviour in Online Exam towards Automated Proctoring","authors":"Susithra V, Reshma A, Bishruti Gope, S. S","doi":"10.1109/ICSCAN53069.2021.9526448","DOIUrl":"https://doi.org/10.1109/ICSCAN53069.2021.9526448","url":null,"abstract":"The improvement of e-learning and online evaluation frameworks is increasing rapidly. The Main Goal is to develop a model which is intended to distinguish the ordinary examples for activities of concern, for example, conversations during a test or the pivoting, processes more exactness and computes more accuracy. Certain presumptions about normal behaviour with regards to delegating tests are made. In the existing system, it takes more computational power and speed is less. Even though it computes not much more accuracy and with the system only able to manage one invigilator for twenty students. Thus, it is important to develop a framework which is high precision and less the manual force. Identification depends on highlights registered utilizing the textural features followed by a Haar Cascade classifier and ADA Boosting calculation and search through explained examples of pre-recorded clips to prepare the framework for train the system for behaviour, the framework is planned as a choice emotionally supportive network to work with programmed administering of tests and distinguishes misbehaviour or malpractice.","PeriodicalId":393569,"journal":{"name":"2021 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121666153","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
Decentralized Blockchain Based System for Secure Data Storage in Cloud 基于分散式区块链的云数据安全存储系统
2021 International Conference on System, Computation, Automation and Networking (ICSCAN) Pub Date : 2021-07-30 DOI: 10.1109/ICSCAN53069.2021.9526408
S. Uthayashangar, T. Dhanya, S. Dharshini, R. Gayathri
{"title":"Decentralized Blockchain Based System for Secure Data Storage in Cloud","authors":"S. Uthayashangar, T. Dhanya, S. Dharshini, R. Gayathri","doi":"10.1109/ICSCAN53069.2021.9526408","DOIUrl":"https://doi.org/10.1109/ICSCAN53069.2021.9526408","url":null,"abstract":"Cloud computing is one of the leading options to store massive amount of data. The metaphor of the cloud was borrowed from old telecoms network schematics, in which the public telephone network was often represented as a cloud to denote that the just did not a matter it was just a cloud of stuff. However, cost and risk will increase inthe organization which are using cloud platforms. Hence this paper combines Cloud with blockchain technology to produce a secured file storage system. Blockchain is considered by many to be the safest technology. Here, a single file is splited and stored in blocks using the file manipulation and Advanced Encryption Standard (AES) algorithms. A high level, contract oriented language, Solidity is used for writing smart contracts. The system architecture which explains the cloud and blockchain processes is constructed. This system also ensures that it is free from attacks such as Brute force. Finally, the blockchain network in the cloud platform is implemented.","PeriodicalId":393569,"journal":{"name":"2021 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126281391","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: 5
Performance Evaluation of FFNN, RNN ANFIS for Trauma Identification Using The Concept of ANOVA 基于方差分析的FFNN、RNN ANFIS在创伤识别中的性能评价
2021 International Conference on System, Computation, Automation and Networking (ICSCAN) Pub Date : 2021-07-30 DOI: 10.1109/ICSCAN53069.2021.9526538
R. Sofia, R. Valli, S. Arunmozhi
{"title":"Performance Evaluation of FFNN, RNN ANFIS for Trauma Identification Using The Concept of ANOVA","authors":"R. Sofia, R. Valli, S. Arunmozhi","doi":"10.1109/ICSCAN53069.2021.9526538","DOIUrl":"https://doi.org/10.1109/ICSCAN53069.2021.9526538","url":null,"abstract":"The state of trauma continues to be a contentious issue and inevitably causes a concern in the sense it disrupts the routine life of an individual. The increasing cases of trauma in recent times owing to a number of reasons become even more serious and can further hamper the life. It invites measures to quickly recognize the state and serve as a diagnostic platform where remedies can be initiated. So this paper has been done in motivation of identifying the trauma patients using the FFNN, RNN and ANFIS.","PeriodicalId":393569,"journal":{"name":"2021 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"50 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126350479","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 of 3.3kV/110V Capacitive Voltage Transformer 3.3kV/110V电容式电压互感器设计
2021 International Conference on System, Computation, Automation and Networking (ICSCAN) Pub Date : 2021-07-30 DOI: 10.1109/ICSCAN53069.2021.9526385
V. Mohan, S. Jaisiva, M. Subashchandiran
{"title":"Design of 3.3kV/110V Capacitive Voltage Transformer","authors":"V. Mohan, S. Jaisiva, M. Subashchandiran","doi":"10.1109/ICSCAN53069.2021.9526385","DOIUrl":"https://doi.org/10.1109/ICSCAN53069.2021.9526385","url":null,"abstract":"The Capacitive Voltage transformer is most essential for measuring voltages above 66kV. There are two types of voltage transformers are used to measure high voltages. They are Inductive Voltage Transformer and Capacitive Voltage Transformer. Inductive Voltage Transformer cost and size is increased while measuring Voltages greater than 66kV. In this paper a small prototype 3.3kV/110V Capacitive Voltage Transformer is designed. Its simulation and experimental results are compared successfully.","PeriodicalId":393569,"journal":{"name":"2021 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131995875","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
Supply Chain Impact Modelling – Simulation and Machine Learning approach 供应链影响建模-模拟和机器学习方法
2021 International Conference on System, Computation, Automation and Networking (ICSCAN) Pub Date : 2021-07-30 DOI: 10.1109/ICSCAN53069.2021.9526484
Mohamed Shayeez, V. V. Panicker
{"title":"Supply Chain Impact Modelling – Simulation and Machine Learning approach","authors":"Mohamed Shayeez, V. V. Panicker","doi":"10.1109/ICSCAN53069.2021.9526484","DOIUrl":"https://doi.org/10.1109/ICSCAN53069.2021.9526484","url":null,"abstract":"An epidemic outbreak can cause huge impact not only on human lives alone but also on other sectors relying on it. Supply chain operations are also largely affected from these outbreaks. From the recent epidemic outbreak, severe disruptions affecting both the supply and demand of supply chains were observed. Supply chains being optmized for maximum profits, reduced inventories were less immune to epidemic outbreaks. As a result these firms were left with huge losses during the recent outbreak. This has forced executives to adopt resilience factors to their supply chains. Thus for redesign of supply chains, executives required clear knowledge of how impacts were going to affect their firms. In this paper, simulation modelling for impact analysis of supply chains during an epidemic outbreak is illustrated. This provided a detailed quantitative overview of the impact for executives. Also simulation results were further processed to generate datasets suitable for developing decision support tools using various machine learning algorithms.","PeriodicalId":393569,"journal":{"name":"2021 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132818956","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
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