- Все статьи 611
Статьи журнала - International Journal of Information Engineering and Electronic Business
Все статьи: 611
Web Application Performance Analysis of E-Commerce Sites in Bangladesh: An Empirical Study
Статья научная
The users of e-commerce sites are growing rapidly day by day for easy internet access where the performance of web applications plays a key role to satisfy the end-users. The performance of these websites or web applications depends on several parameters such as load time, fully loaded (time), fully loaded (requests), etc. This research tries to investigate and find out the parameters that affects the web performance and it has been tested on e-commerce applications of Bangladesh, where eleven parameters are considered and these are fully loaded (requests), first CPU idle, speed index, start render, load time, fully loaded (time), document complete (time), last painted hero, first contentful paint, and first byte. According to the analysis some applications need to take care of or the developers need to re-modify it. As per the investigation of scanned information, the applications fall under three classes. To start with, the applications do not demonstrate acceptable records to be investigated. The second and third classification applications required medium and high reaction times at the user end separately. Also, the fully loaded (requests)’ and document complete (requests) show the most noteworthy required time at the user end, where maximum values are 347 and 344 seconds individually.
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Web Applications Login Authentication Scheme Using Hybrid Cryptography with User Anonymity
Статья научная
It is a common requirement for modern web applications as many if not all services that need personalization and control of access move online. Due to increase in these services becoming online, login authentications become targets to attackers. Therefore, there is need for secure and efficient web application login authentication schemes to ensure users access control, security and privacy. Present schemes have limitations such as users spent a lot of time browsing to create image portfolios than to create passwords and PINs, subject to active impersonation attack, some will only suit well for financial transaction system due to the TIC involved, some may have hash collisions, some require addition BLE device to be install and available on the authentication systems and cannot be used for higher data rates and long distance unlike cellular and WiFi devices, some involves reuse of password at single or multiple service providers which may lead to a password reuse attack called domino effect and some work well in application that needs to share permission with other applications like social media applications inform of APIs and improvising of user anonymity. We propose an improved web application login authentication scheme using hybrid cryptography with user anonymity. The improved scheme used blowfish – the most efficient private key algorithm, Elgamal – very secure public key algorithm and SHA-2 hash function combined together to enable high performance and security. The methods are thoroughly discussed and its security evaluated to show that it provides password protection, user privacy, perfect forward secrecy, mutual authentication and security against impersonation attack.
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Web Based Student Registration and Exam Form Fill-up Management System for Educational Institute
Статья научная
Registration of new students’ academic information is essential for every educational institute to continue their education at every semester level and go through their whole student life. And this registration information is used when they do their form fill up of consecutive semesters. Nowadays, almost all educational institutes are using paper based registration and form fill up systems which is prone to many human errors and very time consuming for both students, teachers as well as other related administrative bodies. In this paper, we developed a web based application for academic purposes to control and save student registration and form fill up data that will be helpful for students, teachers and admin authority to make the process easier, less time consuming and error free. There are four main types of users who can use this system: student, department authority, students’ hall authority and administrator. The student can submit their registration and form fill up information by using a web form. Moreover, he/she can download their admit card and registration form after the approval of the concerned authority. The students also can be able to do other module activities. The hall and department authority can use the system to approve the students' registration, semester examination form and to provide the students' attendance data. In addition, the department and hall authority has a choice to see all students’ academic information. Moreover, the system administrator controls the system by managing (add, delete, update) student, hall and department authority, exam or registration date, subjects of a particular semester, notice board of the institute, module and programme data. The administrator can also add and remove the running and passed student data. The students also can pay their semester fees by using an online banking system.
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Web Performance Analysis: An Empirical Analysis of E-Commerce Sites in Bangladesh
Статья научная
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.
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Web Portal Analysis of Asian Region Countries
Статья научная
The number of online services provided by Government and private sectors is increasing these days. On the same pattern various countries have their own portals to provide basic services to the citizens and other people of the world. Analysis of portals in Asia is the main theme of the paper. There are various indicators or attributes necessary for the implementation of e-services .Some of the indicators may be frequency of use of services, number of users, visitors, site hits, searchable option, accessibility, language option, performance, functionality, broken links, traffic analysis, and feedback. Out of these metrics taken into consideration here are Traffic analysis, feedback, accessibility, security and language option. The countries taken into consideration are India, China and Pakistan. Web portals of these countries will be analyzed in detail.
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Web Search Customization Approach Using Redundant Web Usage Data Association and Clustering
Статья научная
The massive growth of web consists of huge number of redundant information in related to some context. Due to which the need of information through a search provide high number of duplicate results which makes user to navigate number of sites to find the needed information. Users often miss their search pages when they browse the large and complex navigation of the web. Web customization is based on the use of the web logs can take advantage of the knowledge necessary to study the content and the structure of the internet to support. Searching information can be improvised in support of the implicit information generated by the web server in form logs for various web documents visited by users. This paper proposes a web search customization approach (WSCA) using redundant web usage data association and hierarchal clustering. Association generates a multilevel association for redundant data in the web navigation sites and clustering generates a cluster of frequent access patterns. The approach will improvise the real-time customization and also cost requirement for generating customized resources. The experiment evaluation shows an improvisation in precision rate in relevant to different queries against existing clustering approach.
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Статья научная
Nowadays YouTube becoming most popular video sharing website, and is established in 2005. The YouTube official website is providing different categories videos including Science and Technology, Films and Animation, News and politics, Movies, Comedy, Sports, Music etc. Each video hosted in website such as YouTube have its own identity and features. The identity and features of each video can be described by web video metadata objects such as- URL of each video, category, length of the video, rating information, view counts, comment information, key words etc. Using extracted web video metadata objects, we present an in-depth and systematic clustering study on the metadata objects of YouTube videos using Expectation Maximization (EM) and Density Based (DB) clustering approach. Distinct web video metadata object clusters are formed based on different category of web videos. The resultant clusters are analyzed in depth as a step in the KDD process.
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Web-Based Method to Connect Organizations and IT People Using Iterative Model
Статья научная
Nowadays the actual problem is that there is not any proper platform where software houses can collaborate or any proper marketplace where people related to IT fields can get jobs. The people fear whether the organizations are real or fake or whether they are registered or not and the individuals are finding registered organizations to get jobs. This work is making a project to solve all these problems. This work has made this project solve these kinds of problems. This project has used the iterative model, the iterative model is used to do all steps of development iteratively. This model helps make a project step by step. This project consists of two breakthroughs first one is a mobile app and the second one is the web. In mobile apps and the web, this work has used the Iterative model, first, the admin panel is made where the organizations can be managed by the admin and after that, the user interface of a mobile app is designed and then the app relates to the database which is mongo dB and with backend which is made in node Js. Similarly, on the web, this work has first made the user interface and then it relates to the database and back end like mobile, and technologies used on the web are the same as mobile. This work has done great research work to make this system and our system better than the existing systems and has removed all flaws that were in the existing systems. This work has collected data from registered organizations. These organizations are real and registered. This work also made a feedback system from their people who can give their feedback and this work can improve our system according to their needs.
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Web-Based Student Opinion Mining System Using Sentiment Analysis
Статья научная
Collecting feedback from a few students after the exams has been the norm in educational institutions. Forms are given to students to assess the course the lecturer has taught. The main purpose of developing student opinion mining system is to create a faster and easier method of collecting feedback from student, and also give lecturers and school administrators an easier way of analysing the feedback collected from students. The significance of this application is that it is less expensive and present a more confidential way of getting students opinion. The major tools used in developing this application are Python, Scikit learn, Textblob, Pandas and SQLite.. Django provides an in-built server that allows the application to run on the localhost.. In this project dataset gotten from online feedback form distributed to students was used for the sentiment analysi ,Chi-square was used for feature selection and the support vector machine algorithm was used for sentiment classification. The application will help the university administrators and lecturers to identify the strengths and weaknesses of the lecturer based on the textual evaluation made by the students.
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WebSEReleC – Optimized Web Implementation of SEReleC Using Google
Статья научная
The World Wide Web has immense resources for all kind of people for their specific needs. Searching on the Web using search engines such as Google, Bing, Ask have become an extremely common way of locating information. Searches are factorized by using either term or keyword sequentially or through short sentences. The challenge for the user is to come up with a set of search terms/keywords/sentence which is neither too large (making the search too specific and resulting in many false negatives) nor too small (making the search too general and resulting in many false positives) to get the desired result. No matter, how the user specifies the search query, the results retrieved, organized and presented by the search engines are in terms of millions of linked pages of which many of them might not be useful to the user fully. In fact, the end user never knows that which pages are exactly matching the query and which are not, till one check the pages individually. This task is quite tedious and a kind of drudgery. This is because of lack of refinement and any meaningful classification of search result. Providing the accurate and precise result to the end users has become Holy Grail for the search engines like Google, Bing, Ask etc. There are number of implementations arrived on web in order to provide better result to the users in the form of DuckDuckGo, Yippy, Dogpile etc. This research proposes development of a meta-search engine, called WebSEReleC (Web-based SEReleC) that provides an interface for refining and classifying the search engines' results so as to narrow down the search results in a sequentially linked manner resulting in drastic reduction of number of pages using power of Google.
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Who Is the Free Rider in the Drop-Shipping Supply Chain?
Статья научная
In Drop-shipping supply chain, retailers get the customer orders and manufacturers carry out the orders. Are there any free riders while obtaining the customer order? If any, who could be the free riders? By comparing the decentralized and centralized decision making, we find that both manufacturers and retailers are possible to behave as free riders. Also, we study the contract designs to coordinate manufacturers and retailers in Drop-shipping supply chain, and we find that a combination of quantity discount and delivery reliability compensation mechanism as to guarantee manufacturers a safe delivery can achieve the bi-direction excitation, and finally the coordination of the supply chain.
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