2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM)最新文献_第3页

An Economic Analysis of Mass Rapid Transit System (MRTS) in India with Special Reference to Jaipur Metro Rail in Rajasthan 印度快速轨道交通系统的经济分析——以拉贾斯坦邦斋浦尔地铁为例

2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM) Pub Date : 2020-01-01 DOI: 10.1109/ICCAKM46823.2020.9051472

M. Parihar, Abhay Kumar

{"title":"An Economic Analysis of Mass Rapid Transit System (MRTS) in India with Special Reference to Jaipur Metro Rail in Rajasthan","authors":"M. Parihar, Abhay Kumar","doi":"10.1109/ICCAKM46823.2020.9051472","DOIUrl":"https://doi.org/10.1109/ICCAKM46823.2020.9051472","url":null,"abstract":"Adequate financial and physical performance is necessary for the survival of any entity in an economic system. Government of Rajasthan undertaken the Jaipur Metro Rail Project and started its operation in June 2015 through Jaipur Metro Rail Corporation Limited in order to remove various bottlenecks relating to urban transportation system and bring some relief to its people. However, despite of various efforts with reference to facilities, services and other social benefits due to Jaipur Metro Rail System in Jaipur City, the Metro Rail failed to attract passengers i.e. failed to generate enough travel demand amongst existing commuters as compared to estimated/projected revenue generation and travel demand, and thus the operation is non-viable in current scenario. On the other hand, number of users are declining day by day. Thus, in this paper an attempt is being made for economic analysis of Jaipur Metro Rail as Mass Rapid Transit System in order to find out appropriate solution to increase number of commuters and also to solve existing urban transportation problem especially with reference to Jaipur City.","PeriodicalId":136544,"journal":{"name":"2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133331792","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: 4

Study Level Prediction of Indian and Hungarian Students towards ICT and Mobile Technology for the Real-Time 印度和匈牙利学生对ICT和实时移动技术的学习水平预测

2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM) Pub Date : 2020-01-01 DOI: 10.1109/ICCAKM46823.2020.9051551

C. Verma, Z. Illés, Veronika Stoffová

{"title":"Study Level Prediction of Indian and Hungarian Students towards ICT and Mobile Technology for the Real-Time","authors":"C. Verma, Z. Illés, Veronika Stoffová","doi":"10.1109/ICCAKM46823.2020.9051551","DOIUrl":"https://doi.org/10.1109/ICCAKM46823.2020.9051551","url":null,"abstract":"This paper focused on the identification of the level of student's study towards Information Communication Technology (ICT) and Mobile technology (MT) using Machine Learning (ML) algorithms. The level of study is classified into two groups such as Under Graduate (UG) and Post Graduate (PG) student. In the prediction of the above two groups, we used primary datasets with 4 supervised ML classifiers in IBM SPSS Modeler 18.2. The auto classifier algorithm suggested to modeled eXtreme Gradient Boosting Tree (XGBT), Random Tree (RT) and Random Forest (RF) out of other supervised ML algorithms. Also, Synthetic Minority Oversampling Technique (SMOTE) algorithm is applied to balance the dataset to enhance prediction accuracy. The findings of this paper conclude that the XGBT outperformed others in the study level prediction task. The XGBT classifier provided the highest accuracy of 92.36% with 16 significant features. On one hand, a significant difference was found between the accuracy of XGBT and RT and another hand accuracy makes no significant impact on RF and XGBT. The authors recommended these predictive models to be deployed as a realtime prediction of the study level of the university's student.","PeriodicalId":136544,"journal":{"name":"2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133738321","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: 10

Proposed Service Oriented Architecture for the Inheritance Web App of Bangladesh 为孟加拉国的继承Web应用程序提出的面向服务的体系结构

2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM) Pub Date : 2020-01-01 DOI: 10.1109/ICCAKM46823.2020.9051542

Sabbir M. Saleh, Supta Richard Philip, Nahida Akhter Shemu, Khondoker Ali Asgor Pavel

{"title":"Proposed Service Oriented Architecture for the Inheritance Web App of Bangladesh","authors":"Sabbir M. Saleh, Supta Richard Philip, Nahida Akhter Shemu, Khondoker Ali Asgor Pavel","doi":"10.1109/ICCAKM46823.2020.9051542","DOIUrl":"https://doi.org/10.1109/ICCAKM46823.2020.9051542","url":null,"abstract":"The software creates an all-round workplace for people's lives and practices, where they progressively incorporate the increased systems of interaction. This study wants to explore the benefits of the Service-Oriented Architecture (SOA) in the daily life of the people of a nation. Cutting-edge demand to reach successful government services, they have to provide services to inhabitants, industries and government chains. To achieve the vision and dream of Digital Bangladesh, the Government of Bangladesh has launched so many e-services for the people of Bangladesh, whereas there is a web application for the family inheritance purpose named Uttarahdikar which is available as a web app and Android App. Our objective is to propose an SOA model that will permit the consumers of Uttaradhikar to use it efficiently, reliably, effectively. This study will show the real time-saving calculation for the consumers which will create the eagerness and sincerity of the Bangladeshi Nations to use it for their inheritance purpose. The integration structures of other related services to this app will also be discussed in this paper.","PeriodicalId":136544,"journal":{"name":"2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134283059","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: 3

Leveraging Technology for Robust Financial Facilities: A Comparative Assessment of BRICS Nations 利用技术促进稳健的金融设施:金砖国家比较评估

2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM) Pub Date : 2020-01-01 DOI: 10.1109/ICCAKM46823.2020.9051508

Bhawna Kumar, R. Ghai, M. Tyagi, Ruchika Gupta

{"title":"Leveraging Technology for Robust Financial Facilities: A Comparative Assessment of BRICS Nations","authors":"Bhawna Kumar, R. Ghai, M. Tyagi, Ruchika Gupta","doi":"10.1109/ICCAKM46823.2020.9051508","DOIUrl":"https://doi.org/10.1109/ICCAKM46823.2020.9051508","url":null,"abstract":"The global economic environment had witnessed a sea change in the last few decades. There has been a progressive adoption of advanced technologies in banking and financial facilities. Innovative use of these advanced technologies is being primarily driven by “Financial Technology (Fintech) Companies”. Fintech applications help financial intermediaries design new financial products and promote financial inclusion and sustainable development. BRICS nations have been pioneer in the adoption and usage of Fintech. In the last decade, BRICS have amplified their technical and financial assistance and recognized divergent ways of economic cooperation. Also, these nations have significantly increased their weight in Global GDP. These developments demand timely and optimal regulatory response, sometime beyond the defined contours of extant financial regulations. Therefore, this study attempts to analyze the adoption and usage of various financial technologies in the BRICS nations. Also, the study identifies the challenges faced during implementation and the future prospects. The study also provides suggestions and remedial measures for the policy makers and regulators.","PeriodicalId":136544,"journal":{"name":"2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134248969","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: 4

Are SMEs Ready for Industry 4.0 Technologies: An Exploratory Study of I 4.0 Technological Impacts 中小企业准备好迎接工业4.0技术了吗:工业4.0技术影响的探索性研究

2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM) Pub Date : 2020-01-01 DOI: 10.1109/ICCAKM46823.2020.9051550

Sarath Menon, Satya Shah

{"title":"Are SMEs Ready for Industry 4.0 Technologies: An Exploratory Study of I 4.0 Technological Impacts","authors":"Sarath Menon, Satya Shah","doi":"10.1109/ICCAKM46823.2020.9051550","DOIUrl":"https://doi.org/10.1109/ICCAKM46823.2020.9051550","url":null,"abstract":"Fourth Industrial revolution, Industry 4.0- A rapidly growing world of digitization that opens the doorway for new era of automation plays a crucial role within the industry which requires a constant research and improvements to achieve and sustain themselves in current world of competitive market. Implementation of industry 4.0 technologies pioneer for a profit maximization with cost reduction and has even realized to show a significant refinement in improved sustainability. Global Market leading organisations are positioning themselves with world of digitisation to their end consumers utilising the digital marketing, e-commerce and customer experience virtually driving towards a completely new era of digital ecosystem. Supply chain management (SCM) within the small and medium enterprises (SME‘s) plays an important role in supporting the global manufacturing economies. SME's lacks the understanding and significance of transforming themselves with the extremely complex digital supply chain systems that may leads to losses if they don't embrace now for innovations and implement the latest technological advancements. This paper aims to examine the current trends and impacts of latest technologies within the SME's with the view of key factors of Industry 4.0.","PeriodicalId":136544,"journal":{"name":"2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116067804","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

Compendious elucidation on faults management in wireless sensor networks (wsn) 无线传感器网络故障管理简论

2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM) Pub Date : 2020-01-01 DOI: 10.1109/ICCAKM46823.2020.9051469

Mufassir Syed, M. Dubey

引用次数: 1

Machine Learning Aspects and its Applications Towards Different Research Areas 机器学习方面及其在不同研究领域的应用

2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM) Pub Date : 2020-01-01 DOI: 10.1109/ICCAKM46823.2020.9051502

Yogesh Kumar, K. Kaur, Gurpreet Singh

{"title":"Machine Learning Aspects and its Applications Towards Different Research Areas","authors":"Yogesh Kumar, K. Kaur, Gurpreet Singh","doi":"10.1109/ICCAKM46823.2020.9051502","DOIUrl":"https://doi.org/10.1109/ICCAKM46823.2020.9051502","url":null,"abstract":"Machine learning is a branch of artificial intelligence that aims at enabling machines to perform their jobs skillfully by using intelligent software. The statistical learning methods constitute the backbone of intelligent software that is used to develop machine intelligence. Now a Day, a huge increase in demand for machine learning has been seen with the great number of available datasets. The knowledge acquisition mechanizing from experience improvement using computational methods comes under machine learning. There is need of knowledge specific to the domain by expert performance and number of AI expert systems has been produced by knowledge engineering. Its regular use has been seen in the industry in different domains. Due to the increase in use and applicability of machine learning, the systematic review on various aspects related to it has been presented in this paper. The paper started with giving a brief description of machine learning, and the use of different models of machine learning. The various types of machine learning algorithms that are used for various purposes like data mining, predictive analytics, image processing etc. has also presented in the comprehensive review. We have also given a review of different work done by various researchers in different application areas. It covered the use of machine learning in medical, social media, Travelling and robotics. The primary purpose behind its popularity in the different application is its ability to learn once and then it works automatically for any same type of data or input given to it.","PeriodicalId":136544,"journal":{"name":"2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123793005","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: 30

Various Optimization Algorithm used in CRN CRN中使用的各种优化算法

2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM) Pub Date : 2020-01-01 DOI: 10.1109/ICCAKM46823.2020.9051553

Lolita Singh, N. Dutta

{"title":"Various Optimization Algorithm used in CRN","authors":"Lolita Singh, N. Dutta","doi":"10.1109/ICCAKM46823.2020.9051553","DOIUrl":"https://doi.org/10.1109/ICCAKM46823.2020.9051553","url":null,"abstract":"Cognitive radio is a next generation technology of wireless communication system and the limitations of conventional wireless networks are overcome by cognitive techniques. The main objective behind CR was to improve the management and utilization of spectrum resources. Software defined Radios (SDR) use cognitive radio and enhances optimization algorithm that can modify radio transmission parameters as per conditions of environment parameter Number of researchers has used various optimization algorithms in CR for improving its results. In this paper, we have given review on work done on various optimization algorithms in Cognitive radio network for different purpose. The main algorithms covered in this paper are Firefly algorithm, Particle swarm optimization, Genetic algorithm, Ant colony optimization and Support vector machine. All these algorithms were used in CRN for different purposes like to solve NP-hard problem, to tune transmission parameters in multicarrier cognitive systems, to propose a routing algorithm, to optimize the weighted coefficient vector and global decision threshold assigned to each cognitive users, used for centralized CRN, to solve the optimization problem of channel assignment as a linear programming, etc.","PeriodicalId":136544,"journal":{"name":"2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128645604","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: 3

Automated Gardening System with Frost Prediction for Small Land Parcels 小块土地霜冻预报自动园艺系统

2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM) Pub Date : 2020-01-01 DOI: 10.1109/ICCAKM46823.2020.9051541

A. Mohammed, Olesia Barkovska, S. Suganthi, Dmytro Rosinskiy, Barabash Oleg

引用次数: 1

Banking Queue Waiting Time Prediction based on Predicted Service Time using Support Vector Regression 基于预测服务时间的支持向量回归银行排队等待时间预测

2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM) Pub Date : 2020-01-01 DOI: 10.1109/ICCAKM46823.2020.9051490

D. Gomes, Rashidul Hasan Nabil, Prof. Dr. Kamruddin Nur

引用次数: 0