International Journal of Information Engineering and Electronic Business最新文献_第7页

A Blockchain based Framework for Property Registration System in E-Governance 基于区块链的电子政务财产登记系统框架

International Journal of Information Engineering and Electronic Business Pub Date : 2021-08-08 DOI: 10.5815/ijieeb.2021.04.03

S. Sen, S. Mukhopadhyay, Sunil Karforma

{"title":"A Blockchain based Framework for Property Registration System in E-Governance","authors":"S. Sen, S. Mukhopadhyay, Sunil Karforma","doi":"10.5815/ijieeb.2021.04.03","DOIUrl":"https://doi.org/10.5815/ijieeb.2021.04.03","url":null,"abstract":": In recent years, the most cutting edges and promising technology emerged is Blockchain. It has huge potential to impact various industries. The append-only distributed ledger technology (DLT) and the consensus mechanism of Blockchain can also change the dimension of E-Governance. The Electronic Property Record (EPR) systems of government have challenges like data security, integrity, secure storage of data and automated service delivery. In this paper, we discuss how Smart Contract based Blockchain technology can effectively be used to address the challenges of EPR System over the existing available systems. We propose a Smart Contract based permissioned blockchain framework which is an innovative approach, especially in the Electronic Property Registration domain of E-Governance in India. The objective of our proposed framework is firstly to implement Smart Contract solving the security problems like confidentiality, integrity, authentication, and secondly to ensure secure storage of electronic records by defining access rules for the stakeholders of the proposed framework. Moreover, we address the issues of single-point-of-failure, data inter-operability between the organizations involved for sharing and verification of property information among various stakeholders. those client confidentiality, integrity, inter-operability of data between Apart from problems of EPR our research work also evaluates the performance of blockchain implementation.","PeriodicalId":427770,"journal":{"name":"International Journal of Information Engineering and Electronic Business","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123379084","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

Finite State Machine Model in Jungle Adventure Game an Introduction to Survival Skills 丛林冒险游戏中的有限状态机模型——生存技能入门

International Journal of Information Engineering and Electronic Business Pub Date : 2021-08-08 DOI: 10.5815/ijieeb.2021.04.05

R. Andrea, S. Wijayanti, Nursobah

引用次数: 3

Entrepreneurial Development of "Ojek Sampah" (OJAH) through Android Applications 通过Android应用程序开发“Ojek Sampah”(OJAH)

International Journal of Information Engineering and Electronic Business Pub Date : 2021-08-08 DOI: 10.5815/ijieeb.2021.04.02

Y. Damas Sadewo, Pebria Dheni Purnasari

引用次数: 1

Web Performance Analysis: An Empirical Analysis of E-Commerce Sites in Bangladesh 网络性能分析:对孟加拉国电子商务网站的实证分析

International Journal of Information Engineering and Electronic Business Pub Date : 2021-08-08 DOI: 10.5815/ijieeb.2021.04.04

Md. Tutul Hossain, Rakib Hassan, Mahfida Amjad, Md. Abdur Rahman

{"title":"Web Performance Analysis: An Empirical Analysis of E-Commerce Sites in Bangladesh","authors":"Md. Tutul Hossain, Rakib Hassan, Mahfida Amjad, Md. Abdur Rahman","doi":"10.5815/ijieeb.2021.04.04","DOIUrl":"https://doi.org/10.5815/ijieeb.2021.04.04","url":null,"abstract":": Performance testing of e-commerce site is important for upcoming improvement and making better user experience which is performed by several web performance testing tools available on online platform. There are several tools user can use to scan their site for performance testing. This paper presents a web based application to collect and compare performance parameters with results automatically by applying WebpageTest, PageSpeed Insights and GTmetrix tools. For doing the test comparison nine parameters are considered and these are Load Time, First Byte, Start Render, First Contentful Paint, Speed Index, Largest Contentful Paint, Cumulative Layout Shift, Total Blocking Time and Time to Interactive parameters. The framework is developed with PHP, MySQL, CSS and HTML, where user will provide intended site’s url to test performance. This paper presents the performance of ten e-commerce sites of Bangladesh. Among the three tools WebpageTest and Gtmetrix can collect the reports of all the parameters. 1.62 (site7), 3.25 (site4) and 1.89 (site7) seconds are reported as lowest value for tools WebPageTest, PageSpeed Insight and Gtmetrix respectively. The average results of three tools is measured where, the minimum value is shown as 0.03 seconds for ‘total blocking time’ by site7. And maximum value is shown as 17.78 seconds for ‘load time’ parameter recorded by site10.","PeriodicalId":427770,"journal":{"name":"International Journal of Information Engineering and Electronic Business","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131740073","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: 5

Access Digital Divide in the Kingdom of Saudi Arabia (KSA): Current State and Measures for Improvement 沙特阿拉伯王国(KSA)接入数字鸿沟:现状和改进措施

International Journal of Information Engineering and Electronic Business Pub Date : 2021-06-08 DOI: 10.5815/IJIEEB.2021.03.02

A. Saad, Ahmed Fahim

引用次数: 0

Design and Development Employee Payroll Information Systems in Indeks Media Teknologi Inc. Indeks Media technology Inc.员工工资信息系统的设计与开发。

International Journal of Information Engineering and Electronic Business Pub Date : 2021-06-08 DOI: 10.5815/IJIEEB.2021.03.01

Ita Arfyanti, Rajiansyah

引用次数: 1

A Review of Data Security Challenges and their Solutions in Cloud Computing 云计算中的数据安全挑战及其解决方案综述

International Journal of Information Engineering and Electronic Business Pub Date : 2021-06-08 DOI: 10.5815/IJIEEB.2021.03.04

Isma Zulifqar, Sadia Anayat, Imtiaz Kharal

引用次数: 4

Predicting the Behavior of Blood Donors in National Blood Bank of Ethiopia Using Data Mining Techniques 使用数据挖掘技术预测埃塞俄比亚国家血库献血者的行为

International Journal of Information Engineering and Electronic Business Pub Date : 2021-06-08 DOI: 10.5815/IJIEEB.2021.03.05

Teklay Birhane, Brhanu Hailu

{"title":"Predicting the Behavior of Blood Donors in National Blood Bank of Ethiopia Using Data Mining Techniques","authors":"Teklay Birhane, Brhanu Hailu","doi":"10.5815/IJIEEB.2021.03.05","DOIUrl":"https://doi.org/10.5815/IJIEEB.2021.03.05","url":null,"abstract":"A modern technology used for extracting knowledge from a huge amount of data using different models and tasks such as prediction and description is called data mining. The data mining approach has a great contribution on solving a different problem for data miners. This paper focuses on the application of data mining in health centers using different models. The model development process helps to identify or predict the behavior of blood donors whether they are eligible or ineligible to donate blood by their right status way and protects any blood bank health center from the collection of unsafe blood. Classification techniques are used for the analysis of Blood bank datasets in this study. For continuous blood donors, it will help to enable to donate voluntary individuals and organizations systematically. J48 decision tree, neural network as well as naïve Bays algorithms have been implemented in Weka to analyze the dataset of blood donors. The study is used to classify the blood donor's eligibility or ineligibility status based on their genders, deferral time, weight, age, body priced, tattoos, HIV AIDS, blood pressure, donation frequency, hepatitis, illegal drug use attributes. From the 11 attributes, gender does not affect the result. We have used 1502 datasets for the train set and 100 datasets for testing the model using cross-fold validation. Cross-fold data, partition was used in this study. The efficiency and effectiveness of the algorisms are measured automatically by the system. The obtained result showed that the J48 classifier outperforms the best result as well as both neural network and navies, Bayes, in terms of matrix evolution, with its 97.5% overall model accuracy has offered interesting rules.","PeriodicalId":427770,"journal":{"name":"International Journal of Information Engineering and Electronic Business","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114732278","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

A Survey on Hybrid Recommendation Engine for Businesses and Users 企业与用户混合推荐引擎研究

International Journal of Information Engineering and Electronic Business Pub Date : 2021-06-08 DOI: 10.5815/IJIEEB.2021.03.03

Spurthy Mutturaj, B. Shwetha, P. Sangeetha, Shivani Beldale, Sahana

{"title":"A Survey on Hybrid Recommendation Engine for Businesses and Users","authors":"Spurthy Mutturaj, B. Shwetha, P. Sangeetha, Shivani Beldale, Sahana","doi":"10.5815/IJIEEB.2021.03.03","DOIUrl":"https://doi.org/10.5815/IJIEEB.2021.03.03","url":null,"abstract":"Various techniques have been used over the years to implement recommendation systems. In this research, we have analyzed several papers and majority of them have used collaborative and content-based filtering techniques to implement recommender system. To build a recommender system, we require abundant amount of data which comprises of a spectrum of reviews and sentiments from all user domains. Websites like Yelp and TripAdvisor, allow users to post reviews for various businesses, products and services. In this work we have two objectives 1) Recommend restaurants to user based on user reviews in Yelp dataset and 2) Suggest improvements to business based on user reviews. In the first scenario, we will use the comments and ratings available in the Yelp dataset to generate restaurant recommendations and personalize them with user profile data. In the second scenario, we intend to suggest improvements to businesses based on various user reviews and provide them with a ranked list of predefined parameters to help them understand where they stand with respect to their competitors and where they should improve to do better. For both scenarios, we will perform two major steps to achieve our objective 1) Sentiment Analysis and 2) Content Based Recommendation. The first step gives us the sentiment, quality, subject of discussion relevant to product and in the second step we use the outcomes of first step for personalizing and ranking our results. We came across Gensim and Latent Dirichlet Allocation which seemed to be interesting and was tailored to our requirements. In the yelp dataset, user comments are a mixture of various topics which are extracted by the algorithm (LDA) to provide accurate recommendation for all the users. A prototype of this method provided us with 93% accuracy.","PeriodicalId":427770,"journal":{"name":"International Journal of Information Engineering and Electronic Business","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127611290","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

Coffee Leaf Disease Recognition Using Gist Feature 利用Gist特征识别咖啡叶病

International Journal of Information Engineering and Electronic Business Pub Date : 2021-04-08 DOI: 10.5815/IJIEEB.2021.02.05

Md. Burhan Uddin Chowdhury

引用次数: 3