2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)最新文献_第9页

Brushless Direct Current Motor Analysis and Controller Design 无刷直流电机分析与控制器设计

2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) Pub Date : 2022-08-11 DOI: 10.1109/ICICICT54557.2022.9917798

V. Vijikala, Ananya Menon, A. Ramesh, M. Davis, T. J. Yadhukrishna

{"title":"Brushless Direct Current Motor Analysis and Controller Design","authors":"V. Vijikala, Ananya Menon, A. Ramesh, M. Davis, T. J. Yadhukrishna","doi":"10.1109/ICICICT54557.2022.9917798","DOIUrl":"https://doi.org/10.1109/ICICICT54557.2022.9917798","url":null,"abstract":"The paper presents the designing and software working trial reports of a Brushless Direct Current Motor(BLDCM) controller for implementation purpose in Electric vehicles. With the increasing demand of BLDCM for various industrial and automotive purposes, the demand for an efficient BLDCM Controller has also increased. For operating the motor, generally a constant DC source is applied to it via a controller. In the absence of a controller, a motor can start and there by operate at a constant speed proportional to the source voltage applied but cannot vary its speed according to the user demands as required in an electric vehicle. A BLDCM Controller receives input on the speed requirement from user as acceleration applied or breaking, depending on which the controller varies its voltage value to vary the speed. The fast response of the controller to accelerate, brake and control forward and reverse direction rotation or movement of the rotor contributes to the overall efficiency of the Electric Vehicle. Hence, effective and fast response of BLDCM controllers are vital in the designing of an Electric Vehicle. The design proposed is using an Arduino UNO controller for better technical support and fast responses.","PeriodicalId":246214,"journal":{"name":"2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129792827","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

Reliability of Smart-Wearables using PSO-GA Optimized Algorithm in Terms of Data Analysis 基于PSO-GA优化算法的智能可穿戴设备可靠性分析

2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) Pub Date : 2022-08-11 DOI: 10.1109/ICICICT54557.2022.9917888

J. Sivakumar, Abdul Quadir Md, Vigneswaran T, P. K, A. K. Sivaraman

引用次数: 1

An Automated Tool to Remove Flash Light Spots using Image Processing Techniques 使用图像处理技术自动删除闪光点的工具

2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) Pub Date : 2022-08-11 DOI: 10.1109/ICICICT54557.2022.9917639

Purohit Shrinivasacharya, Jagadamba G, Suresh Jagadeeshaiah

{"title":"An Automated Tool to Remove Flash Light Spots using Image Processing Techniques","authors":"Purohit Shrinivasacharya, Jagadamba G, Suresh Jagadeeshaiah","doi":"10.1109/ICICICT54557.2022.9917639","DOIUrl":"https://doi.org/10.1109/ICICICT54557.2022.9917639","url":null,"abstract":"An image is captured using a flash list on reflecting surfaces or glass objects, and it causes a bright light on a particular spot in an image. It is because of the direct reflection of flash resulting from glassy objects and results in loss of data over the reflected part of an image. To overcome these problems, an application is developed to capture and process the images. This application can capture the images in a single click in both with flash and without flash condition. The captured images are divided into a small number of blocks and calculate Peak Signal to Noise Ratio (PSNR) value for each block. Based on these PSNR values the blocks of a flash image is replaced with blocks without flash image and while replacement image intensity of an image will change to the same as the flash image. The resultant image is free from a flashlight spot and lost information. This technique is tested on different images and tabulated the corresponding values for comparing the result. The proposed method provides intuitively better results than the pixel-wise method. This application will be used in the photography to remove the reflected objects' flashlight spot.","PeriodicalId":246214,"journal":{"name":"2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131101576","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

Hybridization of ML techniques for predicting Breast Cancer 预测乳腺癌的ML杂交技术

2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) Pub Date : 2022-08-11 DOI: 10.1109/ICICICT54557.2022.9917768

Jeeva M, Padmapriya E, Nasreen Banu S, Rajesh George Rajan

{"title":"Hybridization of ML techniques for predicting Breast Cancer","authors":"Jeeva M, Padmapriya E, Nasreen Banu S, Rajesh George Rajan","doi":"10.1109/ICICICT54557.2022.9917768","DOIUrl":"https://doi.org/10.1109/ICICICT54557.2022.9917768","url":null,"abstract":"Breast cancer is one of the most prevalent forms of cancer among Indian residents. Breast cancer ranks fourth in the top ten cancers in America. Every four minutes, a woman in India is diagnosed with breast cancer, according to the statistics. Women in rural and urban India are more likely to get breast cancer than in the past. One in twenty-eight Indian women will be diagnosed with breast cancer. Urban women are more likely to suffer from it (1 in 22) than rural women (1 in 60). According to breast cancer statistics from 2018, there were 1,62,468 newly reported cases and 87,090 fatalities. These deaths can be avoided if cancerous cells are detected early. This research describes a strategy for detecting breast cancer using ML techniques. The primary goal is to predict breast cancer from the benchmarked input dataset, which consists of the information about Benign and Malignant based on symptoms. The system is built using two Algorithms Logistic Regression and Decision Tree. The obtained accuracy of the proposed method was 96.8%, whereas the precision score were found to be 94.5%.","PeriodicalId":246214,"journal":{"name":"2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)","volume":"167 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116114892","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

Demand Response: A Tool for Flexibility Creation in the Electricity Market 需求响应:电力市场灵活性创造的工具

2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) Pub Date : 2022-08-11 DOI: 10.1109/ICICICT54557.2022.9917670

G. Aravind Gokul Krishna, C. Babulal

引用次数: 0

Generation and Implementation of Random Number Architecture using Difference Expansion for Digital Circuits 基于差分展开的数字电路随机数结构的生成与实现

2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) Pub Date : 2022-08-11 DOI: 10.1109/ICICICT54557.2022.9917897

S. N. Devi, S. Sasipriya

{"title":"Generation and Implementation of Random Number Architecture using Difference Expansion for Digital Circuits","authors":"S. N. Devi, S. Sasipriya","doi":"10.1109/ICICICT54557.2022.9917897","DOIUrl":"https://doi.org/10.1109/ICICICT54557.2022.9917897","url":null,"abstract":"Unified logic and very large-scale integration (VLSI) circuitry have been created to generate random numbers from various distributions such as uniform, exponential, and Gauss distributions. An arithmetic iteration notion is used to implement several architectural levels in the proposed system. Fast speed, low power consumption, and great output accuracy make this random number generator ideal for communications systems and other models that need multi-distribution random numbers. The difference expansion approach and linear feedback shift register (LFSR) bit switching are recommended to generate random numbers. Besides this, the randomization is unpredictably random. Predictable binary sequences have been a major drawback of earlier randomization approaches. Differential characteristics construct the sequence and keep things simple in this technique. It also aims to simplify the circuit and use less energy. Power, delay, and a lookup table are used to make performance comparisons. The proposed architecture was tested and evaluated using Xilinx. Simulation results demonstrate that the proposed model outperforms standard random generators using Slices, Area, and Look Up Tables. According to the research findings, the proposed Difference Expansion-based Random Generation (DERG) has reduced latency and consumes less power.","PeriodicalId":246214,"journal":{"name":"2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124037664","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

Age & Gender Recognition Using Deep Learning 使用深度学习的年龄和性别识别

2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) Pub Date : 2022-08-11 DOI: 10.1109/ICICICT54557.2022.9917573

Arshin Rizwana. S, V. V

引用次数: 0

Career Prediction Using Naive Bayes 利用朴素贝叶斯进行职业预测

2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) Pub Date : 2022-08-11 DOI: 10.1109/ICICICT54557.2022.9917745

Sibhi K, Thanvir Ibrahim S, Akil Malik, Praveen Joe I R

引用次数: 1

Uncooled Thermal Image Denoising using Deep Convolutional Neural Network 基于深度卷积神经网络的非制冷热图像去噪

2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) Pub Date : 2022-08-11 DOI: 10.1109/ICICICT54557.2022.9917964

Sudhanshu Kumar, Rahul Sharma, Virpaksh Marale

引用次数: 0

Medicine assistance application for visually impaired people 视障人士药物援助申请

2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) Pub Date : 2022-08-11 DOI: 10.1109/ICICICT54557.2022.9917621

Anubhav Mishra, R. Vedhapriyavadhana

引用次数: 0