2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)最新文献_第5页

An Improved Soybean Foliar Disease Detection System using Deep Learning 基于深度学习的改进大豆叶面病害检测系统

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119330

Yatendra Kashyap, S. Shrivastava, Raju Sharma

引用次数: 0

Implication of Mathematics in Data Science Technology Disciplines 数学在数据科学技术学科中的意义

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119311

Gurpreet Singh, Shikha Pathak, Jaspreet Singh, Shruti Tiwari

{"title":"Implication of Mathematics in Data Science Technology Disciplines","authors":"Gurpreet Singh, Shikha Pathak, Jaspreet Singh, Shruti Tiwari","doi":"10.1109/IATMSI56455.2022.10119311","DOIUrl":"https://doi.org/10.1109/IATMSI56455.2022.10119311","url":null,"abstract":"Mathematics has gained greater significance in the field of data science technology, which incorporates various disciplines-for example, data engineering, data preparation, data mining, predictive analytic, machine learning, and data visualization, as well as statistics. Every modern technology in the present era is tied to mathematics, either directly or indirectly, in order to provide smart and simple answers to problems. The extent to which mathematics has been used varies according to the discipline. Any problem-solving computational paradigm focuses on two basic operations: data storage and data processing. In the field of computational science and technology, mathematical modelling has aided in the development of several computational models for a range of issues. Data Science has recently stepped up to meet the challenges of hundreds of new business-oriented concerns focusing solely on data analysis, one of many recognized problems in computer science. This paper represents the phenomena related to a few mathematical techniques and discusses the significance of these techniques in the contemporary discipline of Data Science.","PeriodicalId":221211,"journal":{"name":"2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134534511","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

Design of Dual-Band Filtering Dielectric Resonator MIMO Antenna 双频滤波介质谐振器MIMO天线的设计

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119406

Dipti B Upadhyay, A. Yadav, Anand Sharma

引用次数: 0

Meals on Wheels: A Platform to Connect Tiffin Services to Users 送货上门:将午餐服务与用户连接起来的平台

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/iatmsi56455.2022.10119379

Jayant Patil, Somesh Kumar, Minakshi Poonia, Pinku Ranjan

引用次数: 0

Numerical Investigation of Highly Nonlinear and Low Confinement Loss Chalcogenide Photonic Crystal Fiber 高非线性低约束损耗硫系光子晶体光纤的数值研究

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119407

Shreya Gupta, D. Kumar, V. Chaudhary, Sneha Sharma

引用次数: 0

Modified Heat Method using GMRES for Geodesic Distance 基于GMRES的测地距离修正热法

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119400

Sudhanshu Rawat, M. Biswas

{"title":"Modified Heat Method using GMRES for Geodesic Distance","authors":"Sudhanshu Rawat, M. Biswas","doi":"10.1109/IATMSI56455.2022.10119400","DOIUrl":"https://doi.org/10.1109/IATMSI56455.2022.10119400","url":null,"abstract":"The computation of geodesic distance has applications in a wide variety of fields. Several attempts have been made in the last decade to compute geodesic on curved surfaces by formulating a distance function for the whole mesh including the heat method by Keenan crane. The proposed method first creates a vector unit field with a gradient equal to the true geodesic function and then integrates the unit vector field over the surface. Integrating the unit vector field over the surface requires solving a Poisson equation, which consists of two sparse linear systems of equations. The heat method proposed by Keenan crane uses a direct solver to solve the Poisson equation which increases the total memory and time consumption of the original heat method and makes it unsuitable for large meshes. The proposed method uses the generalized minimal residual method (GMRES) for solving the set of sparse linear systems of equations generated. The use of an iterative solver not only significantly reduces the memory consumption but also computes geodesic distance in less time than the heat method for large meshes which makes the proposed method preferable for large meshes. The result shows that the proposed method can efficiently compute the geodesic distance for bigger mesh in less time than the heat method and Biconjugate gradient stabilized method with significantly reduced memory usage for considered mesh data.","PeriodicalId":221211,"journal":{"name":"2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125389696","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

End-to-End Traffic Monitoring and Management in Real-Time Road Traffic 实时道路交通的端到端交通监控与管理

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119300

A. C, N. Sreekanth, N. Narayanan

{"title":"End-to-End Traffic Monitoring and Management in Real-Time Road Traffic","authors":"A. C, N. Sreekanth, N. Narayanan","doi":"10.1109/IATMSI56455.2022.10119300","DOIUrl":"https://doi.org/10.1109/IATMSI56455.2022.10119300","url":null,"abstract":"The detection of vehicles and pedestrians on the road is one of the most challenging problems in object detection and autonomous vehicles. This paper reports a novel intelligent traffic monitoring and management system using You Only Look Once (YOLO) and OpenCV tracker. A new database named 'Kannur University Vehicle Database (KNUVDB)’ is created and used for the purpose of studying vehicle detection., in addition to the available datasets in literature. We focus on counting the vehicles after they have been detected and tracked. Later., performs the traffic update by using the vehicle count. The proposed method provides better detection accuracy on the real-time traffic video dataset available in the literatures and also on the KNUVDB dataset. Experimental studies have shown that Discriminative Correlation Filter with Channel and Spatial Reliability (CSRT) and Kernelized Correlation Filter (KCF) provide better performance than other OpenCV trackers. In KNUVDB dataset., YOLO-CSRT gives 100% accuracy and YOLO-KCF provides 90.90% accuracy in vehicle detection., tracking and counting. In real-time road traffic video dataset., YOLO-CSRT provides 100% accuracy and YOLO-KCF provides 93.70% accuracy in vehicle detection., tracking., and counting accuracy.","PeriodicalId":221211,"journal":{"name":"2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126342355","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

Indian Sign Language Recognition Using MobileNet 使用MobileNet识别印度手语

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119345

Anuj Chavan, Jayesh Bane, Vishrut Chokshi, D. Ambawade

{"title":"Indian Sign Language Recognition Using MobileNet","authors":"Anuj Chavan, Jayesh Bane, Vishrut Chokshi, D. Ambawade","doi":"10.1109/IATMSI56455.2022.10119345","DOIUrl":"https://doi.org/10.1109/IATMSI56455.2022.10119345","url":null,"abstract":"Sign Language is one of the most widely used methods of communication by the specially-abled, primarily the hearing and speech impaired. Millions of people in India and around the world use this language made out of gestures daily. They find it difficult to express themselves and understand others without the condition. This paper presents a lightweight application that uses a Convolutional Neural Network (CNN) and the popular Mobile Net Classification Model for recognizing Indian Sign Language using OpenCV. The model is created using the TensorFlow library with the Keras API as the Neural Network model-building framework. The model is then deployed in a python application which shows a user-friendly GUI for people who wish to learn the basic alphanumeric characters of Indian Sign Language (ISL). The application takes in dynamic frames in which one shows the gestures and gets the corresponding alphabet on the same window. This model could be used in schools that require the teaching of basic characters for the specially-abled or those who would like to learn the ISL.","PeriodicalId":221211,"journal":{"name":"2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)","volume":"209 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116446211","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

An Empirical Study on Continuous Feature Delivery and Conventional Methods 持续特征交付与传统方法的实证研究

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119246

Harish Kumar Rai, Ravish Kumar Ojha, Koduru Suresh

引用次数: 0

Performance Evaluation of Cooperative Medium Access protocols for Vehicular Networks 车载网络协同介质接入协议的性能评价

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119364

P. Verma

引用次数: 0