2021 8th International Conference on Computing for Sustainable Global Development (INDIACom)最新文献_第10页

Employing Artificial Bee Colony Algorithm for Feature Selection in Intrusion Detection System 基于人工蜂群算法的入侵检测系统特征选择

2021 8th International Conference on Computing for Sustainable Global Development (INDIACom) Pub Date : 2021-03-17 DOI: 10.1109/INDIACom51348.2021.00088

M. Rani, Gagandeep

引用次数: 2

Application of Machine Learning in wireless Sensor Network 机器学习在无线传感器网络中的应用

2021 8th International Conference on Computing for Sustainable Global Development (INDIACom) Pub Date : 2021-03-17 DOI: 10.1109/INDIACom51348.2021.00003

Mahendra Prasad Nath, S. Mohanty, S. Priyadarshini

引用次数: 10

Tilting-rotors Quadcopters: A New Dynamics Modelling and Simulation based on the Newton-Euler Method with Lead Compensator Control 倾斜旋翼四轴飞行器:基于超前补偿控制牛顿-欧拉方法的动力学建模与仿真

2021 8th International Conference on Computing for Sustainable Global Development (INDIACom) Pub Date : 2021-03-17 DOI: 10.1109/INDIACom51348.2021.00063

Izzat Al-Darraji, Morched Derbali, Georgios Tsaramirsis

引用次数: 6

Intellectual Behaviour of Student Based on Education Data Determined by Opinion Mining 基于意见挖掘教育数据的学生智力行为研究

2021 8th International Conference on Computing for Sustainable Global Development (INDIACom) Pub Date : 2021-03-17 DOI: 10.1109/INDIACom51348.2021.00099

M. N, J. S

{"title":"Intellectual Behaviour of Student Based on Education Data Determined by Opinion Mining","authors":"M. N, J. S","doi":"10.1109/INDIACom51348.2021.00099","DOIUrl":"https://doi.org/10.1109/INDIACom51348.2021.00099","url":null,"abstract":"Every student has individual thought process which make them unique and intelligent in their own way. Intellectual behaviour is a relation between thoughts, learning and knowledge. This paper focus on Students' feedback which is crucial for an institution to evaluate intellectual behavior of student. Opinion Mining (OM) deals with classifying and identifying opinion expressed by the students. The requirement of OM is to understand and analyse dissimilar behaviour of different personality which is a collection of extracted information from various resources. A solution to analyse cognitive behaviour of students based on the OM is a Natural Language Processing (NLP) and task of extracting information which discovers user's opinion interpreted in terms of positive or negative comments. The OM has played an important role in cognizing the emotional and intellectual behavior of university student through social media which may either be accomplished with viable or untenable education. Machine Learning (ML) algorithm helps to find the accuracy of polarity present in the OM. The Support Vector Machine (SVM) has shown better accuracy which is 93% through OM on the analysis of intellectual behavior for the student based on their knowledge and learning methodology.","PeriodicalId":415594,"journal":{"name":"2021 8th International Conference on Computing for Sustainable Global Development (INDIACom)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130137356","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

Statistical Modeling and Evaluation of Air Quality Impact due to COVID-19 Lockdown COVID-19封锁对空气质量影响的统计建模和评估

2021 8th International Conference on Computing for Sustainable Global Development (INDIACom) Pub Date : 2021-03-17 DOI: 10.1109/INDIACom51348.2021.00055

Isha Malhotra, A. Tayal

引用次数: 3

An Analysis of Data Integration Challenges from Heterogeneous Databases 异构数据库数据集成挑战分析

2021 8th International Conference on Computing for Sustainable Global Development (INDIACom) Pub Date : 2021-03-17 DOI: 10.1109/INDIACom51348.2021.00061

M. Almutairi, M. Yamin, G. Halikias

{"title":"An Analysis of Data Integration Challenges from Heterogeneous Databases","authors":"M. Almutairi, M. Yamin, G. Halikias","doi":"10.1109/INDIACom51348.2021.00061","DOIUrl":"https://doi.org/10.1109/INDIACom51348.2021.00061","url":null,"abstract":"The Internet generates very large amounts of structured and unstructured data which creates storage, maintenance, management, sharing, privacy and security challenges. In the world today, organizations exchange and merge different types of data at a centralized location for the purpose of analysis and benefitting the organisations and individuals in achieving their business, economic, social, educational, cultural, and health objectives. The data merging or integration is a challenging process because of different type of data formats, structures, models, schemas, entities, attributes, and features. Integration is a complex and tedious process, and involves a number of technologies and extensive processing, and so it is not straightforward to integrate very large data with a variety of data formats and types. This paper discusses issues and complexities faced in data integration processes. The paper also discusses different methods of data integration, their advantages and disadvantages, and provides a comparative analysis to gain better insights from examples of recently completed projects.","PeriodicalId":415594,"journal":{"name":"2021 8th International Conference on Computing for Sustainable Global Development (INDIACom)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127807225","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

Simulation Based Analysis of Outer Rotor Brushless DC Motor for Electric Vehicle Application 电动汽车用外转子无刷直流电机仿真分析

2021 8th International Conference on Computing for Sustainable Global Development (INDIACom) Pub Date : 2021-03-17 DOI: 10.1109/INDIACom51348.2021.00133

Yashu Verma, M. S. Manna

引用次数: 1

Cancer Diagnosis through Hidden Markov Model and Gaussian Mixture based Novel DNA Sequencing Approach 基于隐马尔可夫模型和高斯混合的新型DNA测序方法诊断癌症

2021 8th International Conference on Computing for Sustainable Global Development (INDIACom) Pub Date : 2021-03-17 DOI: 10.1109/INDIACom51348.2021.00110

Rishm, V. Laxmi

引用次数: 0

Incident Classification, Prediction of Location and Casualties 事件分类、地点预测及伤亡

2021 8th International Conference on Computing for Sustainable Global Development (INDIACom) Pub Date : 2021-03-17 DOI: 10.1109/INDIACom51348.2021.00139

Tanmay Deshpande, Sarun Varghese, Pratik Dynaneshwar Kale, M. Atre

{"title":"Incident Classification, Prediction of Location and Casualties","authors":"Tanmay Deshpande, Sarun Varghese, Pratik Dynaneshwar Kale, M. Atre","doi":"10.1109/INDIACom51348.2021.00139","DOIUrl":"https://doi.org/10.1109/INDIACom51348.2021.00139","url":null,"abstract":"Indian Army is always being troubled by the constant attacks of the militants and different terrorist organizations. Such encounters always cost us the lives of the soldiers who work for us with an immeasurable selfless attitude, many a times getting slaughtered in different regions of India. Such brainwashed mobs exploit the loopholes of the system, where the ground level officials don't have on-the-spot decision making authority. They use guns, hand grenades, Improvised Explosive Devices (IED) as weapons. Incidents of stone pelting, damage to property, fire incident, mob lynching, etc set the tone for an unrest society. Unfortunately to deal with the rage of such brainwashed minds, soldiers are the first line of defense and are put into a heated situation which leads to bloodshed. To avoid this, authors implemented a model which uses Artificial Intelligence, to predict the location of the next probable ‘Anti-National’ incident and the number of casualties in that incident. By using the principles of Timeseries Analysis, Auto Regressive Integrated Moving Average model in combination with Random Forest Regressor, authors predict the location of the next probable incident and the number of casualties in it. Using Beautiful Soup Library database is created by scraping the news from webpages. A Logistic Regression, is used to classify whether the following news is ‘Anti-National’ or not. The developed algorithm is used effectively to find i) the patterns in these attacks, ii) the factors which spark such incidents and help to take precautionary actions or completely avoid them. This model implementation can track down the activities and assist the Indian Army.","PeriodicalId":415594,"journal":{"name":"2021 8th International Conference on Computing for Sustainable Global Development (INDIACom)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130706081","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

Multi-factor Biometric Authentication Approach for Fog Computing to ensure Security Perspective 基于雾计算的多因素生物特征认证方法确保安全性

2021 8th International Conference on Computing for Sustainable Global Development (INDIACom) Pub Date : 2021-03-17 DOI: 10.1109/INDIACom51348.2021.00031

F. Ahmadi, Sonia, Gaurav Gupta, Syed Rameem Zahra, Preeti Baglat, Puja Thakur

{"title":"Multi-factor Biometric Authentication Approach for Fog Computing to ensure Security Perspective","authors":"F. Ahmadi, Sonia, Gaurav Gupta, Syed Rameem Zahra, Preeti Baglat, Puja Thakur","doi":"10.1109/INDIACom51348.2021.00031","DOIUrl":"https://doi.org/10.1109/INDIACom51348.2021.00031","url":null,"abstract":"Cloud Computing is a technology which provides flexibility through scalability. Like, Cloud computing, nowadays, Fog computing is considered more revolutionary and dynamic technology. But the main problem with the Fog computing is to take care of its security as in this also person identification is done by single Sign-In system. To come out from the security problem raised in Fog computing, an innovative approach has been suggested here. In the present paper, an approach has been proposed that combines different biometric techniques to verify the authenticity of a person and provides a complete model that will be able to provide a necessary level of verification and security in fog computing. In this model, several biometric techniques have been used and each one of them individually helps extract out more authentic and detailed information after every step. Further, in the presented paper, different techniques and methodologies have been examined to assess the usefulness of proposed technology in reducing the security threats. The paper delivers a capacious technique for biometric authentication for bolstering the fog security.","PeriodicalId":415594,"journal":{"name":"2021 8th International Conference on Computing for Sustainable Global Development (INDIACom)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128020696","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: 9