2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)最新文献_第9页

A hybrid approach of Deep Learning Algorithms for Identification of COVID-19 disease using Chest X-Ray Images 基于胸部x线图像的COVID-19疾病识别的深度学习混合方法

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI: 10.1109/APSIT52773.2021.9641398

Nour Haj Hammadah, N. Das, Mamata Nayak, T. Swarnkar

{"title":"A hybrid approach of Deep Learning Algorithms for Identification of COVID-19 disease using Chest X-Ray Images","authors":"Nour Haj Hammadah, N. Das, Mamata Nayak, T. Swarnkar","doi":"10.1109/APSIT52773.2021.9641398","DOIUrl":"https://doi.org/10.1109/APSIT52773.2021.9641398","url":null,"abstract":"Machine Learning(ML) algorithms can revolutionize the entire background of the healthcare system and have been used widely to identify diseases efficiently by classifying the image samples. The medical images are created by using visual representations of the interior body parts. ML system computes the distinctive features of the image that are supposed to be very helpful in making decisions regarding the prediction or diagnosis of the disease. It also discovers the best combination of these features that can correctly classify the image. In recent times, deep learning(DL) which is a form of ML mostly being used to analyze medical images for its significant performance in many applications. The DL models can identify the disease from radiology images. In this article some DL algorithms have been used to detect COVID-19 diseased patients from their chest X-ray images(CXR). Three popular convolutional neural networks(CNN) like ResNet, GoogleNet and AlexNet were used to extract features from the dataset. The principal component analysis(PCA) technique was also used which further reduced the dimensions of the dataset. The extracted features were given to the classifiers like SVM and KNN as input in order to identify COVID-19 disease from the images. The proposed method attained an accuracy level of 97.7% with KNN and 98.1% with SVM. The sensitivity and specificity of the model were estimated as 97% and 98% respectively which shows the efficiency of the model for identifying the disease correctly.","PeriodicalId":436488,"journal":{"name":"2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116086307","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

ASSIE: Application of Squirrel Search Algorithm for Information Extraction Problem 松鼠搜索算法在信息抽取问题中的应用

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI: 10.1109/APSIT52773.2021.9641165

Rasmita Rautray, Rasmita Dash, Rajashree Dash, Rajendra Kumar Sahoo, Aswasana Pujari, Raunak Kumar Barik, J. Amartya

引用次数: 2

Neutral Clamped Three-level Inverter based Fractional Order Filter Design for Power Quality Advancement 基于中性箝位三电平逆变器的分数阶滤波器的电能质量提升设计

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI: 10.1109/APSIT52773.2021.9641493

Buddhadeva Sahoo, S. Routray, P. Rout, Mohammed M. Alhaider

{"title":"Neutral Clamped Three-level Inverter based Fractional Order Filter Design for Power Quality Advancement","authors":"Buddhadeva Sahoo, S. Routray, P. Rout, Mohammed M. Alhaider","doi":"10.1109/APSIT52773.2021.9641493","DOIUrl":"https://doi.org/10.1109/APSIT52773.2021.9641493","url":null,"abstract":"This study proposes a novel neutral clamped three-level inverter (NCTI) based fractional order filter (FOF) for multiple solar-PV-based grid integrated microgrid system applications. The proposed NCTI is capable to produce excess voltage levels as compared to the traditional inverter, which improves the power quality (PQ) significantly. In addition to that, FOF is integrated to compute the essential active current element by regulating the distorted grid current and is used for inverter pulse generation. Further, to extract maximum power and obtain an excellent modulation index of the boost converter, an incremental conductance (IC) based maximum power algorithm (MPA) is suggested. Due to the excellent control operation, the grid integrated solar system offers better power quality by reducing the grid voltage and current harmonics as per the IEEE-1541 standards and avail better active and reactive power supply. To justify the effectiveness of the proposed study, the proposed MATLAB/Simulink-based control method findings are related to the traditional integer-order filter results and found improved total harmonic contained as per the IEEE-1541 standards.","PeriodicalId":436488,"journal":{"name":"2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128589538","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

A Hybrid Fruit Fly ELM Framework for Stock Index Price Movement Prediction 混合果蝇ELM框架预测股指价格走势

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI: 10.1109/APSIT52773.2021.9641098

S. Samal, Rajashree Dash

{"title":"A Hybrid Fruit Fly ELM Framework for Stock Index Price Movement Prediction","authors":"S. Samal, Rajashree Dash","doi":"10.1109/APSIT52773.2021.9641098","DOIUrl":"https://doi.org/10.1109/APSIT52773.2021.9641098","url":null,"abstract":"Predicting the upward or downward direction of financial time-series data is very challenging due to complex factors involved in the data such as volatility, non-linearity, and sudden variations. This task requires a reliable and robust prediction model which can not only predict the direction accurately but also be faster than traditional algorithms. Extreme learning machine (ELM) is among the leading algorithms for such task at hand due to its extremely fast training and superior adaptation to new data. This study proposes a hybrid framework integrating fruit fly optimization with extreme learning machine (FFO-ELM) to predict the forthcoming movements of stock indices. Additionally, the performance of the advocated FFO-ELM framework is compared with differential evolution-based ELM (DE-ELM), particle swarm optimization-based ELM (PSO-ELM) and singleton ELM. The empirical analysis has been done utilizing BSE SENSEX and NIFTY 50 stock indices and the outcomes indicated that the FFO-ELM model performed comparatively better in terms of accuracy, fl-score, and g-mean in contrast with other inspected models.","PeriodicalId":436488,"journal":{"name":"2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133170177","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

Frequency Stability Study in Electrical Power System with SMES and TCSC units 中小机组和TCSC机组电力系统频率稳定性研究

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI: 10.1109/APSIT52773.2021.9641170

A. Naik, N. Jena, S. Sahoo, B. K. Sahu

引用次数: 1

A Comparative Study of Short Channel Effects in 3-D FinFET with High-K Gate Di-electric 三维高k栅极双电FinFET短沟道效应的比较研究

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI: 10.1109/APSIT52773.2021.9641388

R. M. Asif, S. Rehman, A. Rehman, M. Bajaj, S. Choudhury, T. Dash

引用次数: 2

Generating Power through Numerous Interconnection of Solar PV Modules with Incorporation of Thermoelectric Generator and Estimating Energy Rating 结合热电发电机的众多太阳能光伏组件互连发电及能量等级估算

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI: 10.1109/APSIT52773.2021.9641300

Sunil Kumar Bhatta, Srikanta Mohapatra, Sarat Chandra Swin, S. Jena

{"title":"Generating Power through Numerous Interconnection of Solar PV Modules with Incorporation of Thermoelectric Generator and Estimating Energy Rating","authors":"Sunil Kumar Bhatta, Srikanta Mohapatra, Sarat Chandra Swin, S. Jena","doi":"10.1109/APSIT52773.2021.9641300","DOIUrl":"https://doi.org/10.1109/APSIT52773.2021.9641300","url":null,"abstract":"Numerous studies have been undertaken in various disciplines to harness energy from non-conventional resources in order to reduce the demand for energy in rural, urban, commercial, and industrial settings, with the Thermoelectric Generator system emerging as a promising and successful option. A total of 8 PV modules were combined in two separate stages throughout this analysis to simulate the stability and effectiveness of the composite thermoelectric generator integrated photovoltaic system. The TEG, that is positioned upon this rear surface of the panel PV panel, enables for the better utilization of excess heat for the generation of usable energy. The fluctuating performance of the Photovoltaic modules in the connectivity was inspected for zero, partial and complete shade. The greater proportion of daylight irradiation produces an increase in the temperature of the module surface when TEG is paired with photovoltaic modules, lowering quantum efficiency. When the TEG is paired with solar PV, the misfortune would become a blessing. The incorporation has also been demonstrated to be a beneficial route for obtaining the maximum potential of energy and thermal energy from the panels by taking use of the sun's spectral range, leading to higher productivity. The entire system is designed, evaluated, and examined using the MATLAB/Simulink framework.","PeriodicalId":436488,"journal":{"name":"2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129369963","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 Encryption using Chaotic Techniques: A Survey Study 基于混沌技术的图像加密研究

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI: 10.1109/APSIT52773.2021.9641262

Jenan Ayad, F. S. Hasan, A. Ali, Zaid khudhur Hussein, Hanan j. Abdulkareem, M. Jalil, G. Ahmed, A. Sadiq

引用次数: 6

Harmonic Analysis of Fuzzy Controller Based Permanent Magnet Synchronous Generator with Reduced Switch Multilevel Inverter 基于模糊控制器的减开关多电平变频器永磁同步发电机谐波分析

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI: 10.1109/APSIT52773.2021.9641157

S. Mohapatra, Aksaya Kumar Patra, Debswarup Rath, Sajeeb Kumar Kar, Dillip Kumar Subudhi, B. Rout

{"title":"Harmonic Analysis of Fuzzy Controller Based Permanent Magnet Synchronous Generator with Reduced Switch Multilevel Inverter","authors":"S. Mohapatra, Aksaya Kumar Patra, Debswarup Rath, Sajeeb Kumar Kar, Dillip Kumar Subudhi, B. Rout","doi":"10.1109/APSIT52773.2021.9641157","DOIUrl":"https://doi.org/10.1109/APSIT52773.2021.9641157","url":null,"abstract":"This research article emphasizes on modeling, simulation & Total Harmonic Distortion (THD) analysis of wind energy driven Permanent Magnet Synchronous Generator (PMSG) connected to three phase series RLC load and grid. In Wind energy Conversion System (WECS) the kinetic energy from wind is converted into electrical energy by the help of generators and wind turbines. Basically, wind turbines are broadly classified into two types. Those are fixed speed wind turbines and variable speed wind turbines. On comparing both the kinds of wind turbines variable speed wind turbine gains the upper hand as it produces more energy and aids in reducing power fluctuations while improving reactive power supply. A variable speed wind turbine generally employs Double Fed Induction Generator (DFIG) or PMSG as the generating units. In this paper the PMSG along with some power electronics based converter and multilevel inverter devices have used to connect to the grid & three phase load and output parameters have been analyzed at variable switching instants and also studied the harmonic distortions.","PeriodicalId":436488,"journal":{"name":"2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126843396","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

Effectiveness of Data Augmentation for classification of Melanoma using Deep Convolutional Neural Network 基于深度卷积神经网络的黑色素瘤分类数据增强有效性研究

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI: 10.1109/APSIT52773.2021.9641346

Bhanja Kishor Swain, S. K. Rout, M. Sahani, Pushti Kumari, Renu Sharma

引用次数: 0