2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP)最新文献_第3页

Fuzzy Logic Controller to Obtain Maximum Power in Solar Power Generation System 太阳能发电系统中获取最大功率的模糊逻辑控制器

2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP) Pub Date : 2022-11-23 DOI: 10.1109/ICFIRTP56122.2022.10059431

Anuradha, Shivansh Bhushan, Mukul Dixit

引用次数: 0

Design a Fuzzy Logic Controller for Green House 温室模糊控制器的设计

2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP) Pub Date : 2022-11-23 DOI: 10.1109/ICFIRTP56122.2022.10059454

Archika Jain, D. Somwanshi, Divyanshu Tailor, K. Joshi

引用次数: 1

Design and Analysis on Fuzzy Logic Control of Buck Converter for Photo Voltaic Emulator 光伏仿真器Buck变换器模糊控制设计与分析

2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP) Pub Date : 2022-11-23 DOI: 10.1109/ICFIRTP56122.2022.10059438

Rajiv Kumar, Satvinder Singh, Mukesh Kumar, Surinder Kumar, Pritosh Tomar

引用次数: 0

Emotional Recognition Through Facial Expression Using Support Vector Machine 基于支持向量机的面部表情情感识别

2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP) Pub Date : 2022-11-23 DOI: 10.1109/ICFIRTP56122.2022.10063209

Shilpy Sharma, Pritosh Tomar, Pundreekaksha Sharma

{"title":"Emotional Recognition Through Facial Expression Using Support Vector Machine","authors":"Shilpy Sharma, Pritosh Tomar, Pundreekaksha Sharma","doi":"10.1109/ICFIRTP56122.2022.10063209","DOIUrl":"https://doi.org/10.1109/ICFIRTP56122.2022.10063209","url":null,"abstract":"The purpose of work is to recognize the emotions of people with speaking and hearing disabilities. These emotions shall be recognized from images of humans with such disabilities. Multiple features shall be used to recognize emotions. These features shall make use of color, edge and texture information. We are likely to use BSIF, HOG and color histograms in the proposed study. Due to the complexity, quality, and unpredictable nature of facial emotions, very precise facial expression recognition is still challenging. Many areas of emotion recognition remain unexplored, including the recognition of complex emotions made up of fundamental emotions and the understanding of emotions from facial expressions in people who have difficulty hearing and speaking. This study suggests a technique for reading the emotions of the deaf through their facial expressions. To achieve this, we suggest a cutting-edge architecture. Both films and photographs will be used to study the architecture. The suggested approach has a number of uses, including increasing the quality of life for those who have hearing and speech difficulties as well as rehabilitation for those with disabilities.","PeriodicalId":413065,"journal":{"name":"2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP)","volume":"463 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133958295","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

A Proposed Method of Machine Learning based Framework for Software Product Line Testing 一种基于机器学习框架的软件产品线测试方法

2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP) Pub Date : 2022-11-23 DOI: 10.1109/ICFIRTP56122.2022.10059409

Ashish Saini, Rajkumar, Amrita Kumari, Satender Kumar

{"title":"A Proposed Method of Machine Learning based Framework for Software Product Line Testing","authors":"Ashish Saini, Rajkumar, Amrita Kumari, Satender Kumar","doi":"10.1109/ICFIRTP56122.2022.10059409","DOIUrl":"https://doi.org/10.1109/ICFIRTP56122.2022.10059409","url":null,"abstract":"Software product line includes a series of software products which share common feature’s set. Since the number of features may grow exponentially, it is not possible to test individual products of the entire product line. Since the time budget for testing is limited or even unknown a priori, the sequence of testing products is critical for effective product line testing. Regression testing is the way to test a product after making some changes in the product (for example, after a new version or product is developed). Due to the lack of resources, only a a subset of test cases is executed for testing a specific product. This leads to problems with important test cases regarding testing. Therefore, to lead the test cases, minimization and prioritization of test cases is initiated by the regression testing technique. Existing techniques usually require source code which is time-consuming and complex to execute. However, testing of complex applications often restricts access to source code. Therefore, complex applications can be tested by black-box testing. In this paper, a machine learning- based technique has been proposed to test the software product line. Fuzzy C-Means clustering has been applied to minimize the test cases and Ranked Support Vector Machine to prioritize the rest of the test cases.","PeriodicalId":413065,"journal":{"name":"2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116988554","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

Benchmark Dataset Creation for Intelligent Surveillance System under Dense Environment (BDISSDE) 面向密集环境下智能监控系统的基准数据集创建

2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP) Pub Date : 2022-11-23 DOI: 10.1109/ICFIRTP56122.2022.10059418

Satender Kumar, Vivek Kumar

{"title":"Benchmark Dataset Creation for Intelligent Surveillance System under Dense Environment (BDISSDE)","authors":"Satender Kumar, Vivek Kumar","doi":"10.1109/ICFIRTP56122.2022.10059418","DOIUrl":"https://doi.org/10.1109/ICFIRTP56122.2022.10059418","url":null,"abstract":"Surveillance has always been of utmost importance but most of the time we see a person looking at CCTV footage for security or no one watching them at all. Present systems have helped to identify the criminals after the crime has been committed, but have not yet been able to take an immediate action. Up until now the researches have either manually created a benchmark dataset of classified actions or used half manual half automation approach. Despite advancement in image processing the challenges have hardly been touched in some of the scenarios. Like low visibility due to mist/fog or night, live multiple moving objects, rainy condition or even snow. The authors propose a fully automated mechanism to create a digitized benchmark dataset which would help to identify a moving object under any condition and its action as well. Preprocessing of each frame is carried out using a model which helps to extract the features and create a classified dataset which could be used to identify the action. Bag of features, SIFT, Optical flow and saliency features have been extracted and stored to prepare a benchmark dataset. The dataset has been tested for robustness using benchmark algorithms like SVM, CNN, KNN. KTH, 20 bn datasets have been used for the benchmark action videos, other videos, under different conditions, have been shot by the author. It is found that BDISSDE performs exceptionally well under various algorithms.","PeriodicalId":413065,"journal":{"name":"2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126650768","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

Analysis of Software Quality Enhancement through Stability Metrics Models 通过稳定性度量模型分析软件质量的提高

2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP) Pub Date : 2022-11-23 DOI: 10.1109/ICFIRTP56122.2022.10059411

S. Dimri, Kamlesh Chandra Purohit, Ankur Dumka

{"title":"Analysis of Software Quality Enhancement through Stability Metrics Models","authors":"S. Dimri, Kamlesh Chandra Purohit, Ankur Dumka","doi":"10.1109/ICFIRTP56122.2022.10059411","DOIUrl":"https://doi.org/10.1109/ICFIRTP56122.2022.10059411","url":null,"abstract":"To thrive in today's competitive market, the quality of a company's software is the single most important factor. Many elements, including the program's design, quality measurements, reliability models, and root cause analysis for defect management, contribute to the enhancement of software product quality. In order to make software systems more trustworthy, this study examines how several reliability measurements might be used. Additionally, the paper stresses the need of implementing a quality improvement programme like root cause analysis to get to the bottom of faults and reduce the likelihood of recurrence of the same errors. This paper demonstrates how an efficient programme for root cause analysis may enhance the learning process and contribute to the establishment of standards in any business. An introduction to software reliability measurements and a root cause analysis tool are provided in this article as a means of bettering overall software quality. Root-cause analysis, reliability metrics, and enhanced software quality are all essential concepts.","PeriodicalId":413065,"journal":{"name":"2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP)","volume":"240 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116068785","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

Cardiovascular Disease Prediction using machine learning 使用机器学习进行心血管疾病预测

2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP) Pub Date : 2022-11-23 DOI: 10.1109/ICFIRTP56122.2022.10059422

Naresh Alapati, B. Prasad, Aditi Sharma, G. Kumari, Perumalla Jaya Bhargavi, Arikatla Alekhya, Botla Pravallika, K. Nandini

引用次数: 0

Towards a Life Cycle Model for the Development of Semantic Web Applications 面向语义Web应用开发的生命周期模型

2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP) Pub Date : 2022-11-23 DOI: 10.1109/ICFIRTP56122.2022.10059419

Satveer Satveer, Satyaveer Singh

引用次数: 0

A Framework Optimization in Social Media using Xampp: A Systematic Approach 使用Xampp的社交媒体框架优化:一个系统的方法

2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP) Pub Date : 2022-11-23 DOI: 10.1109/ICFIRTP56122.2022.10059447

K. Joshi, Rajiv Kumar, Anil Kumar, Jagdeep Reshi, Aditi Sharma, A. Dumka

引用次数: 1