2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)最新文献_第10页

Breast Cancer Data Analysis using Machine Learning Approaches 使用机器学习方法进行乳腺癌数据分析

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI: 10.1109/APSIT52773.2021.9641294

Sidhant Mallick, Rasmita Dash, Rajashree Dash, Rasmita Rautray

{"title":"Breast Cancer Data Analysis using Machine Learning Approaches","authors":"Sidhant Mallick, Rasmita Dash, Rajashree Dash, Rasmita Rautray","doi":"10.1109/APSIT52773.2021.9641294","DOIUrl":"https://doi.org/10.1109/APSIT52773.2021.9641294","url":null,"abstract":"One of the leading cause of death is cancer. Lung cancer is the most common cancer and breast cancer is the second common cancer found in women. Thus sophisticated techniques must be designed to deal with these patients or the data generated from these patients. This system focuses on prediction of breast cancer where it categorizes the tumor as malignant or benign. Specialized machine learning algorithms have been used for creating models like decision trees, logistic regression, random forest, naive Bayes, Support vector machine along with Artificial neural networks which are applied on preprocessed data. Preprocessing of the data was done to check for inadequacies such as missing or null data points, categorical data for variables to contain label value rather than numeric, splitting of data set so as to have training and testing set and feature scaling to put our data set in range. Furthermore, dimensionality reduction methods were used in some datasets to improve the accuracy of the models. Artificial neural networks were used with different optimizers to check for the best performance.","PeriodicalId":436488,"journal":{"name":"2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"7 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":"126350943","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

Smart Shopping Trolley Using Raspberry Pi 使用树莓派的智能购物车

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI: 10.1109/APSIT52773.2021.9641206

Dinika D. Pradhan, S. Mali, Ashwini Ubale, M. Sardeshmukh, Swapnalini Pattnaik, Puja Bajirao Sindhe

{"title":"Smart Shopping Trolley Using Raspberry Pi","authors":"Dinika D. Pradhan, S. Mali, Ashwini Ubale, M. Sardeshmukh, Swapnalini Pattnaik, Puja Bajirao Sindhe","doi":"10.1109/APSIT52773.2021.9641206","DOIUrl":"https://doi.org/10.1109/APSIT52773.2021.9641206","url":null,"abstract":"Regardless of the vicinity of E-business for the fulfillment of needs, individuals purchase numerous items from the markets and different shopping centers. According to our review, hard cash and normal time spent on every client is high, particularly in packaged grocery stores. The business people are ready to accept any machines which technologize the billing process to abate both labor cost and time spent. The main aim of the smart shopping trolley system is to fulfill the needs of the client as well as reduce the time spent on the billing procedure instead of waiting in a line or queue for a couple of items. The proposed system helps individual customers to get the actual bill after any discount or deduction of their purchase. Customers have to log in to their account for billing and pay the bill using any digital payment method. This system is developed by considering security for avoiding robbery and this system is also user-friendly. It minimizes the time in purchasing and making free to the customer by standing in a long queue by ensuring the customer comfort and minimizing the headache of barcode scanning and eliminating waging of billers, thereby accomplishing both customer and shopkeeper demands.","PeriodicalId":436488,"journal":{"name":"2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"66 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":"131900429","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

An Adaptive Hybrid Particle Swarm Optimizer for Constrained Optimization Problem 约束优化问题的自适应混合粒子群优化算法

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI: 10.1109/APSIT52773.2021.9641410

Tejna Khosla, O. Verma

{"title":"An Adaptive Hybrid Particle Swarm Optimizer for Constrained Optimization Problem","authors":"Tejna Khosla, O. Verma","doi":"10.1109/APSIT52773.2021.9641410","DOIUrl":"https://doi.org/10.1109/APSIT52773.2021.9641410","url":null,"abstract":"Particle Swarm Optimization (PSO) is a well-known nature-inspired algorithm that is inspired by the social behavior of bird flocking and fish schooling. It has proved efficient in solving real-time problems due to its simplicity and good exploitation ability. However, due to poor exploration of search space, PSO gets trapped in local optima and gives less accurate results. On the other hand, Butterfly Optimization Algorithm (BOA) is good in exploration but converges slowly. This paper proposes a novel hybrid based on PSO and BOA, namely PSOBOA with few improvements based on the advantage and uniqueness of these algorithms. Firstly, a parameter-free penalty function is used to handle constraint violations so that the search process does not slacken when handling the constraints. Secondly, a self-adaptive approach has been adopted in PSO as well as BOA to ensure a smooth transition from exploration to exploitation, and no user interference. Thirdly, to improve the convergence rate and avoid local optima stagnation, a conditional approach has been used in the local and global search of BOA. The proposed algorithm PSOBOA overcomes the shortcomings of PSO and BOA and maximizes the performance. It is applied to solve structural optimization problems, such as pressure vessel design and welded-beam design problem, where the objectives, decision variables, and constraints are different. The experimental results and the convergence curves demonstrate better optimization performance of PSOBOA compared with quite a few state-of-the-art algorithms.","PeriodicalId":436488,"journal":{"name":"2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"109 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":"132072997","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

Sliding Mode Controlled IDBHCC for Single phase LC filter PWM Inverter 单相LC滤波PWM逆变器的滑模控制IDBHCC

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI: 10.1109/APSIT52773.2021.9641402

Neha Singh, S. Jena, C. Panigrahi

引用次数: 0

Multi-kernel based Random Vector Functional Link Neural Network for Short-term Prediction of Wind Speed 基于多核随机向量函数链神经网络的短期风速预测

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI: 10.1109/APSIT52773.2021.9641314

Sniedha Sarangi, P. K. Dash, Badri Narayan Sahoo, R. Bisoi

引用次数: 0

Stress Enhanced Performance Analysis for Trigate FinFETs at 7nm Node 7nm节点三叉finfet应力增强性能分析

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI: 10.1109/APSIT52773.2021.9641249

J. Jena, Tara Prasanna Dash, S. Das, E. Mohapatra, C. K. Maiti

引用次数: 0

Structural and Optical Properties Investigation of The Hybrid CZTS-MWCNT Composite Hole Transporting Material 杂化CZTS-MWCNT复合空穴传输材料的结构和光学性质研究

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI: 10.1109/APSIT52773.2021.9641211

J. Raiguru, P. Mahanandia, P. Raiguru, B. Subudhi

{"title":"Structural and Optical Properties Investigation of The Hybrid CZTS-MWCNT Composite Hole Transporting Material","authors":"J. Raiguru, P. Mahanandia, P. Raiguru, B. Subudhi","doi":"10.1109/APSIT52773.2021.9641211","DOIUrl":"https://doi.org/10.1109/APSIT52773.2021.9641211","url":null,"abstract":"Perovskite materials are inspiring for solar cells (PSC) with higher efficiency and low-cost. But the use of cheap, non-toxic semiconductors as hole transporting material (HTM) has been a major and consistent issue. The p-type semiconductor CZTS (Cu2ZnSnS4) with optical bandgap energy (1.5 eV) has been emerged as a cost effective HTM. Furthermore, the optoelectronics features of CZTS (HTM) can be tuned by incorporating multiwall carbon nanotube (MMCNT) in CZTS. This fact encouraged us to prepare hybrid HTM CZTS-MWCNT composite by mixing CZTS and MWCNT and investigate their structural and optical characteristics. X-ray diffraction (XRD), and Raman spectroscopy characterizations have been performed to investigate the phase of the prepared parent materials and composites. Morphological analysis of the materials has been characterized by scanning electron microscopy (SEM), and transmission electron microscope (TEM). Absorption spectra and optical bandgap energy of the CZTS-MWCNT composites have been characterized by UV-Vis spectroscopy. The current-voltage characteristics of the hybrid composites material have been measured under dark and illumination conditions by using 1.5G Solar simulator and 2400 Keithley source measurement unit.","PeriodicalId":436488,"journal":{"name":"2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"45 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":"132791521","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

Thermally Evaporated GaSb Thin Film Grown From TVDS Method for Optical Applications 用TVDS法生长用于光学的热蒸发GaSb薄膜

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI: 10.1109/APSIT52773.2021.9641166

F. Ali, J. J. Mahakud, S. Kamilla

引用次数: 0

[Copyright notice] (版权)

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI: 10.1109/apsit52773.2021.9641100

引用次数: 0

Automatic Attendance System using Face Recognition 使用人脸识别的自动考勤系统

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI: 10.1109/APSIT52773.2021.9641486

S. K. Sarangi, Arunesh Paul, Harshit Kishor, Kritath Pandey

引用次数: 3