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2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE)最新文献

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ANN and PSO based Approach for Solar Energy Forecasting: A Step Towards Sustainable Power Generation 基于神经网络和粒子群的太阳能预测方法:迈向可持续发电的一步
2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE) Pub Date : 2021-10-07 DOI: 10.1109/RDCAPE52977.2021.9633719
Md Tabish Ansari, M. Rizwan
{"title":"ANN and PSO based Approach for Solar Energy Forecasting: A Step Towards Sustainable Power Generation","authors":"Md Tabish Ansari, M. Rizwan","doi":"10.1109/RDCAPE52977.2021.9633719","DOIUrl":"https://doi.org/10.1109/RDCAPE52977.2021.9633719","url":null,"abstract":"For proper designing and development of solar photovoltaic system, forecasting of solar energy becomes very important. Power developed by the solar photovoltaic system depends upon meteorological parameters like temperature solar irradiance. Variation in these parameters causes variation in power generated by the photovoltaic system. Hence forecasting becomes important. In this paper solar energy forecasting is done using artificial neural network and particle swarm optimization based artificial neural network. Artificial neural network is well established method used for forecasting purpose. However there output can further be improved by applying optimization technique. Here particle swarm optimization technique is used MATLAB software is used for coding the optimized neural network and ‘nftool’ application is used for simple artificial neural network. For ANN percentage error comes out to be 4.18% and for ANN-PSO it comes out to be 3.23%.","PeriodicalId":424987,"journal":{"name":"2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134209681","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
Mental Health Disorder Analysis Using Convolution Neural Network Based Speech Signal Model With Integration Of Artificial Intelligence 基于卷积神经网络的语音信号模型与人工智能集成的精神健康障碍分析
2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE) Pub Date : 2021-10-07 DOI: 10.1109/RDCAPE52977.2021.9633637
G. A. Chandra, Kolachina Srinivas, P. Anudeep, S. R. Prasad, Y. Padmasai, P. Kishore
{"title":"Mental Health Disorder Analysis Using Convolution Neural Network Based Speech Signal Model With Integration Of Artificial Intelligence","authors":"G. A. Chandra, Kolachina Srinivas, P. Anudeep, S. R. Prasad, Y. Padmasai, P. Kishore","doi":"10.1109/RDCAPE52977.2021.9633637","DOIUrl":"https://doi.org/10.1109/RDCAPE52977.2021.9633637","url":null,"abstract":"Mental health is important to every individual, and it has become the major concern of the health care industry. As digital approaches are hitting the life savior count, Artificial Intelligence (AI) is being at the top for providing solutions. With the glance of advanced AI techniques and machine learning algorithms, AI has attracted a lot of attention in health care industry, being used to detect and monitor the health behaviors and maintain track of record to estimate further treatments. Using AI correctly, predicting and detecting the disease can be accurate. This paper provides an overview of some real-time experiences in mental health surveillance.","PeriodicalId":424987,"journal":{"name":"2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114572866","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
Cooperative Control of Regenerative and Anti-lock Braking Systems in Electric Vehicles Using Fuzzy Logic 基于模糊逻辑的电动汽车制动再生与防抱死系统协同控制
2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE) Pub Date : 2021-10-07 DOI: 10.1109/RDCAPE52977.2021.9633401
Himani Jain, Shreyas Maitreya, P. Paliwal
{"title":"Cooperative Control of Regenerative and Anti-lock Braking Systems in Electric Vehicles Using Fuzzy Logic","authors":"Himani Jain, Shreyas Maitreya, P. Paliwal","doi":"10.1109/RDCAPE52977.2021.9633401","DOIUrl":"https://doi.org/10.1109/RDCAPE52977.2021.9633401","url":null,"abstract":"Electric vehicles (EVs) have the advantage of using both regenerative braking and mechanical braking to produce the necessary braking torque. Currently, vehicles use Anti-lock Braking Systems (ABS) which provide intermittent braking torque to the vehicle and thereby prevents skidding or slipping of the vehicle by ensuring pure rolling of the wheels. Regenerative braking on the other hand generates the necessary braking torque by converting the kinetic energy of the vehicle to electrical energy via the motor(s). To coordinate both braking systems, the conventional method involves the use of crisp logic controllers that depend on lookup tables containing the data about various aspects of the vehicle such as battery state of charge (SoC), brake pedal input etc., to enable co-operative control of both systems. This paper presents a combined implementation of both braking systems in electric vehicles using separate fuzzy controllers for both ABS and regenerative braking. The control scheme is implemented such that when regenerative braking is not capable of providing enough braking torque, braking will be one by ABS. Two fuzzy logic controllers have been used, one to implement regenerative braking and the other to implement mechanical braking via ABS. If such a control algorithm is used, the driver will not have to manually adjust the level of regenerative braking in the vehicle and such an approach ensures that the braking process of an EV is smooth, safe and efficient. It also reduces the wear and tear of the brake pads thereby extending their life and reducing the cost of maintenance and by extension the total cost of ownership of the vehicle. The results demonstrate that the controllers for both ABS and regenerative braking can coordinate efficiently and reliably to produce proper and safe braking of the vehicle.","PeriodicalId":424987,"journal":{"name":"2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125547269","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
Model Predictive Control (MPC) based Voltage Control in Distribution Network with Distributed Generation 基于模型预测控制的分布式发电配电网电压控制
2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE) Pub Date : 2021-10-07 DOI: 10.1109/RDCAPE52977.2021.9633541
Rasika Kulkarni, S. P. Ghanegaonkar, V. Pande
{"title":"Model Predictive Control (MPC) based Voltage Control in Distribution Network with Distributed Generation","authors":"Rasika Kulkarni, S. P. Ghanegaonkar, V. Pande","doi":"10.1109/RDCAPE52977.2021.9633541","DOIUrl":"https://doi.org/10.1109/RDCAPE52977.2021.9633541","url":null,"abstract":"Over the past few decades with the restructuring process of distribution networks, the conventional networks which used to be passive are now increasingly being transformed into active systems (incorporating generation at distribution level itself) for achieving the objective of collection, transmission, storage and distribution of electrical energy. Incorporation of Distributed Generation into Low or Medium Voltage distribution systems is proven to be one of the most feasible ways to meet the increase in requirement of power supply and ease the increasing pressure globally. On the flip side, widespread use of such technologies has introduced new issues like voltage instability and degradation of power quality issues. Optimization of system operation in Electric Distribution Networks is proven to be necessary in spite of the regulatory level guarantying a limited error amidst the reference and the corresponding system variables for operational reasons such as maintaining the voltage profile and stability.In this regard, impact of connecting distributed generation on bus voltages of a sample distribution system is studied in this work. The main objective of this paper is to achieve a controllable voltage profile even on the account of fluctuating distributed resources by using Model predictive control (MPC) controller, which provides a systematic framework for real time feedback control under stressed conditions, defined in a manner that the controller continuously tracks the network’s voltage profile for efficient and reliable operation of the grid.","PeriodicalId":424987,"journal":{"name":"2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126100455","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
Detection and Classification of Toxic Content for Social Media Platforms 社交媒体平台有毒内容的检测与分类
2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE) Pub Date : 2021-10-07 DOI: 10.1109/RDCAPE52977.2021.9633647
Trisiladevi C. Nagavi, A. S.
{"title":"Detection and Classification of Toxic Content for Social Media Platforms","authors":"Trisiladevi C. Nagavi, A. S.","doi":"10.1109/RDCAPE52977.2021.9633647","DOIUrl":"https://doi.org/10.1109/RDCAPE52977.2021.9633647","url":null,"abstract":"Over the years the use of the internet has been increased exponentially and it is changing all the time. Recently there are two important evolutions; they are the social media platforms and mobile technology. Through this, the way people communicate with each other has changed significantly [1]. Many social media platforms like Facebook, Instagram, and Twitter, etc. have grown into worldwide networks. Massive amount of information and content arise from these social media platforms as people are engaging themselves to communicate, express their opinions and share their views daily. Even though, this type of virtual communication is highly productive and constructive, a significant part of them will be destructive. That is it is toxic in nature and some of them might include violence, obscene, threat, insult, etc. The toxic content can be either in Image or Text form. So it is essential to recognize the threat and respond to it which makes the online space more healthy and valuable. To address this problem we are proposing a system that makes use of Random Forest Machine learning algorithm and Convolutional neural network to detect toxicity in Text and Image respectively. We have successfully detected and classified toxicity in Text and Image data.","PeriodicalId":424987,"journal":{"name":"2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE)","volume":"90 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126120453","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
Power Converters for DC Microgrids Modelling and Simulation 直流微电网电源变换器建模与仿真
2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE) Pub Date : 2021-10-07 DOI: 10.1109/RDCAPE52977.2021.9633383
Chandani Bali, P. Choudekar, D. Asija, R. Ruchira
{"title":"Power Converters for DC Microgrids Modelling and Simulation","authors":"Chandani Bali, P. Choudekar, D. Asija, R. Ruchira","doi":"10.1109/RDCAPE52977.2021.9633383","DOIUrl":"https://doi.org/10.1109/RDCAPE52977.2021.9633383","url":null,"abstract":"The present work demonstrates the performance validation and adequacy of a simple DC-DC Cuk power electronic converter and an impedance (Z) source DC-DC Cuk converter for currently DC microgrid applications. The majority of renewable source of energy are operate at low voltage. Such as Biomass energy, geothermal energy etc. Therefore, it is vital to enhance the low voltage which we acquire from the renewable source of energy within the voltage important for the load or DC bus in a DC microgrid. During this condition a 10kW power electronic converters are designed to interface solar photovoltaic source to the DC bus of a DC microgrid. Simulation model of the system via a simple power electronic Cuk converter and an impedance (Z) source Cuk converter is designed. Simulation outcome of both the converter model show the performance validation of the power electronic converter and the controller and confirms the appropriateness of power electronic converter intended for the DC microgrid.","PeriodicalId":424987,"journal":{"name":"2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129915712","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
Satellite based Road Tagger GPS Radio-Navigation system with Integration of Artificial Intelligence 基于卫星的道路标记机GPS无线电导航系统与人工智能集成
2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE) Pub Date : 2021-10-07 DOI: 10.1109/RDCAPE52977.2021.9633626
Preethi Koganti, Kalyana Srinivas K, Anudeep P, Sravanth Kumar R, P. Kishore, S. R. Prasad
{"title":"Satellite based Road Tagger GPS Radio-Navigation system with Integration of Artificial Intelligence","authors":"Preethi Koganti, Kalyana Srinivas K, Anudeep P, Sravanth Kumar R, P. Kishore, S. R. Prasad","doi":"10.1109/RDCAPE52977.2021.9633626","DOIUrl":"https://doi.org/10.1109/RDCAPE52977.2021.9633626","url":null,"abstract":"The Global Positioning System (GPS) is a satellite-based radionavigation system that uses stored map information to send location and time data to a GPS receiver. One of the disadvantages of GPS is that it lacks memory, meaning it does not recall or learn from past understandings. A simple way for altering a GPS navigational system to include a learning model based on speeds. It is assumed to be totally self-contained, that means no user input or involvement is required. All the necessary data is obtained from the GPS time, position, and date. Another way can be adding the labels or tags. These velocity profiles are used to extract characteristics from the surroundings in addition to learning, which may then be utilized to increase the accuracy of optimal route selection. The RoadTagger is a program that employs Neural Network to estimate the nature of obstacles on road.","PeriodicalId":424987,"journal":{"name":"2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129418291","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
Fusion-based Medical Image Retrieval using Tamura and Wavelet features 基于Tamura和小波特征的融合医学图像检索
2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE) Pub Date : 2021-10-07 DOI: 10.1109/RDCAPE52977.2021.9633726
N. Kumar, Y. Ravi Kumar
{"title":"Fusion-based Medical Image Retrieval using Tamura and Wavelet features","authors":"N. Kumar, Y. Ravi Kumar","doi":"10.1109/RDCAPE52977.2021.9633726","DOIUrl":"https://doi.org/10.1109/RDCAPE52977.2021.9633726","url":null,"abstract":"In the last ten years, Content-based image retrieval (CBIR) is an emerging and challenging research area in medical image processing. The medical Image retrieval plays the accuracy of the retrieval process and further can be modified by a method that combines tamura and wavelet features in the retrieving process. The process is having calculation of distance between all the images and forms a matrix. The proposed method is projected as a process of CBIR in medical image processing with different statistical parameter calculations on different datasets. With the evidence of experimental results on medical images, the performance and effectiveness of the method is measured. The confusion matrix is evaluated in different views.","PeriodicalId":424987,"journal":{"name":"2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131105417","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
PAPR and BER analysis of FBMC-OQAM systems using Tangent Rooting Companding 切线生根压缩FBMC-OQAM系统的PAPR和BER分析
2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE) Pub Date : 2021-10-07 DOI: 10.1109/RDCAPE52977.2021.9633579
A. Mobin, Anwar Ahmad
{"title":"PAPR and BER analysis of FBMC-OQAM systems using Tangent Rooting Companding","authors":"A. Mobin, Anwar Ahmad","doi":"10.1109/RDCAPE52977.2021.9633579","DOIUrl":"https://doi.org/10.1109/RDCAPE52977.2021.9633579","url":null,"abstract":"Filter Bank Multicarrier (FBMC) is an enhanced multicarrier waveform technique, and a suitable contender for 5G systems owing to its high spectral efficiency, low out-of-band (OOB) leakage, and robustness to time and frequency asynchronism. Being a multicarrier waveform technique, it suffers from high peak-to-average-power ratio (PAPR). In this paper, tangent rooting companding is investigated both in terms of PAPR reduction performance and bit-error-rate (BER) performance for FBMC-Offset QAM (OQAM) systems. It was observed that, it performs better than A-law, mu-law, and rooting companding techniques in terms of PAPR reduction but leads to BER degradation in comparison to A-law and mu-law techniques. It was also observed that by varying the companding parameters BER performance improves but at the cost of reduced PAPR reduction gain. It was also observed that the tangent rooting companding performs better than some existing techniques in the literature for PAPR reduction of FBMC-OQAM systems.","PeriodicalId":424987,"journal":{"name":"2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129871236","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
Patient Monitoring, Food and Medicine Serving with Environmental Sanitizing Robot 环境消毒机器人用于病人监护、食品和药品服务
2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE) Pub Date : 2021-10-07 DOI: 10.1109/RDCAPE52977.2021.9633444
Abyash Gautam, Lala Bhaskar
{"title":"Patient Monitoring, Food and Medicine Serving with Environmental Sanitizing Robot","authors":"Abyash Gautam, Lala Bhaskar","doi":"10.1109/RDCAPE52977.2021.9633444","DOIUrl":"https://doi.org/10.1109/RDCAPE52977.2021.9633444","url":null,"abstract":"This paper demonstrates a project that aims in building one application of robot that can be used to monitor the temperature of the patient and the environmental factors of the patient room. This model is best suited for the patient who requires isolation room without a person physically attending the patient. The robot is designed in such a way that it can be operated in three modes, which includes a line follower, a human follower or it can also be controlled manually by the user using a remote control. Any one mode can be selected as per user choice, sensors are attached with the robot which can send data to the Wi-Fi and displays the data on the webpage. The data on the webpage is updated after every 10 seconds which means it keeps on updating the environmental factors and patients' temperature. The robot has a sanitizer spraying system through which sanitizing can be done in patient room and sanitizes the nearby surroundings.","PeriodicalId":424987,"journal":{"name":"2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121178678","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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