• Title/Summary/Keyword: online registration system

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Web-based University Classroom Attendance System Based on Deep Learning Face Recognition

  • Ismail, Nor Azman;Chai, Cheah Wen;Samma, Hussein;Salam, Md Sah;Hasan, Layla;Wahab, Nur Haliza Abdul;Mohamed, Farhan;Leng, Wong Yee;Rohani, Mohd Foad
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.2
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    • pp.503-523
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    • 2022
  • Nowadays, many attendance applications utilise biometric techniques such as the face, fingerprint, and iris recognition. Biometrics has become ubiquitous in many sectors. Due to the advancement of deep learning algorithms, the accuracy rate of biometric techniques has been improved tremendously. This paper proposes a web-based attendance system that adopts facial recognition using open-source deep learning pre-trained models. Face recognition procedural steps using web technology and database were explained. The methodology used the required pre-trained weight files embedded in the procedure of face recognition. The face recognition method includes two important processes: registration of face datasets and face matching. The extracted feature vectors were implemented and stored in an online database to create a more dynamic face recognition process. Finally, user testing was conducted, whereby users were asked to perform a series of biometric verification. The testing consists of facial scans from the front, right (30 - 45 degrees) and left (30 - 45 degrees). Reported face recognition results showed an accuracy of 92% with a precision of 100% and recall of 90%.

A Design of Collaborative Learning Module in Learning Management System Based on Blended Learning (블렌디드 러닝 기반의 학습관리시스템에서 협력학습 지원 모듈 설계 방안)

  • Ku, jin-hee;Choi, won-sik;Lee, kyu-nyo
    • Proceedings of the Korea Contents Association Conference
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    • 2008.05a
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    • pp.732-737
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    • 2008
  • As e-learning is recognized in new education form, Learning Management System that manage general activity of learning to maximize effect of education is being developed actively. Usually, Learning Management System includes course registration and learning as well as learner's learning recording and tracking, evaluation in online. But, most systems is lacking a tool that learners can collaborate with companion learners, and planning learning and set valuation basis as leading. In this paper, we can expect effective collaborative learning activities because can make debate and team project smooth by suggesting collaborative learning module that can drive voluntary participation such as group formation, learning plan, mutually estimation as leading to learner in Learning Management System of blended learning base that support online and offline environment both.

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Construction and Service of a Web-based Simulation software management system for the Computational Science and Engineering (계산과학공학 분야를 위한 웹 기반 시뮬레이션 소프트웨어 관리 시스템 구축 및 서비스)

  • Jeon, Inho;Kwon, Yejin;Ma, Jin;Lee, Sik;Cho, Kum Won;Seo, Jerry
    • Journal of Internet Computing and Services
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    • v.18 no.4
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    • pp.99-108
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    • 2017
  • Open Science is evolving not only to share research results, but also to open the research process. We are developing the EDISON platform for the spread of open science in computational science and engineering. The EDISON platform provides online simulation services developed by computational science and engineering researchers. It also provides an environment for sharing source code, data, and related research publications. An effective simulation software registration management system is required for successful service on the EDISON platform. In this paper, we proposes a simulation software management system to provide online simulation service through EDISON platform. The proposed system allows the developer to register the simulation software on the EDISON platform without administrator intervention and effectively build a web-based simulation environment.

Secure E-Voting System with Secure Storage Media

  • Allayear, Shaikh Muhammad;Park, Sung-Soon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2005.05a
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    • pp.1075-1078
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    • 2005
  • The Global IT revolution is growing rapidly. Government and business have to be ready to meet the increased demand for effective and secure online services. With the E-Government practicing, day-by-day the public demand is also increasing simultaneously. Now this present moment, one of important research part is secure E-Voting for E-Government service, but for this important factor or Government Issue, it needs information privacy for secure information transaction of citizen’s opinions and secure authentication. This paper has analyzed several approaches E-voting protocols, those are implemented with many digital signature mechanism and maintained many types of cryptographic rules, which are main factor for information privacy. In this paper we have discussed them with a view to voter anonymity and protection from manipulations. The paper then developed an algorithm designed to guarantee anonymity of the voter and to avoid the risk of manipulation of votes. In this paper the proposed algorithm is based upon the strict separation of voter’s registration and submission of votes, which means that certain information has to be stored on a secure storage media.

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Development of Supervised Machine Learning based Catalog Entry Classification and Recommendation System (지도학습 머신러닝 기반 카테고리 목록 분류 및 추천 시스템 구현)

  • Lee, Hyung-Woo
    • Journal of Internet Computing and Services
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    • v.20 no.1
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    • pp.57-65
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    • 2019
  • In the case of Domeggook B2B online shopping malls, it has a market share of over 70% with more than 2 million members and 800,000 items are sold per one day. However, since the same or similar items are stored and registered in different catalog entries, it is difficult for the buyer to search for items, and problems are also encountered in managing B2B large shopping malls. Therefore, in this study, we developed a catalog entry auto classification and recommendation system for products by using semi-supervised machine learning method based on previous huge shopping mall purchase information. Specifically, when the seller enters the item registration information in the form of natural language, KoNLPy morphological analysis process is performed, and the Naïve Bayes classification method is applied to implement a system that automatically recommends the most suitable catalog information for the article. As a result, it was possible to improve both the search speed and total sales of shopping mall by building accuracy in catalog entry efficiently.

Participation Level in Online Knowledge Sharing: Behavioral Approach on Wikipedia (온라인 지식공유의 참여정도: 위키피디아에 대한 행태적 접근)

  • Park, Hyun Jung;Lee, Hong Joo;Kim, Jong Woo
    • Journal of Intelligence and Information Systems
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    • v.19 no.4
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    • pp.97-121
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    • 2013
  • With the growing importance of knowledge for sustainable competitive advantages and innovation in a volatile environment, many researches on knowledge sharing have been conducted. However, previous researches have mostly relied on the questionnaire survey which has inherent perceptive errors of respondents. The current research has drawn the relationship among primary participant behaviors towards the participation level in knowledge sharing, basically from online user behaviors on Wikipedia, a representative community for online knowledge collaboration. Without users' participation in knowledge sharing, knowledge collaboration for creating knowledge cannot be successful. By the way, the editing patterns of Wikipedia users are diverse, resulting in different revisiting periods for the same number of edits, and thus varying results of shared knowledge. Therefore, we illuminated the participation level of knowledge sharing from two different angles of number of edits and revisiting period. The behavioral dimensions affecting the level of participation in knowledge sharing includes the article talk for public discussion and user talk for private messaging, and community registration, which are observable on Wiki platform. Public discussion is being progressed on article talk pages arranged for exchanging ideas about each article topic. An article talk page is often divided into several sections which mainly address specific type of issues raised during the article development procedure. From the diverse opinions about the relatively trivial things such as what text, link, or images should be added or removed and how they should be restructured to the profound professional insights are shared, negotiated, and improved over the course of discussion. Wikipedia also provides personal user talk pages as a private messaging tool. On these pages, diverse personal messages such as casual greetings, stories about activities on Wikipedia, and ordinary affairs of life are exchanged. If anyone wants to communicate with another person, he or she visits the person's user talk page and leaves a message. Wikipedia articles are assessed according to seven quality grades, of which the featured article level is the highest. The dataset includes participants' behavioral data related with 2,978 articles, which have reached the featured article level, with editing histories of articles, their article talk histories, and user talk histories extracted from user talk pages for each article. The time period for analysis is from the initiation of articles until their promotion to the featured article level. The number of edits represents the total number of participation in the editing of an article, and the revisiting period is the time difference between the first and last edits. At first, the participation levels of each user category classified according to behavioral dimensions have been analyzed and compared. And then, robust regressions have been conducted on the relationships among independent variables reflecting the degree of behavioral characteristics and the dependent variable representing the participation level. Especially, through adopting a motivational theory adequate for online environment in setting up research hypotheses, this work suggests a theoretical framework for the participation level of online knowledge sharing. Consequently, this work reached the following practical behavioral results besides some theoretical implications. First, both public discussion and private messaging positively affect the participation level in knowledge sharing. Second, public discussion exerts greater influence than private messaging on the participation level. Third, a synergy effect of public discussion and private messaging on the number of edits was found, whereas a pretty weak negative interaction effect of them on the revisiting period was observed. Fourth, community registration has a significant impact on the revisiting period, whereas being insignificant on the number of edits. Fifth, when it comes to the relation generated from private messaging, the frequency or depth of relation is shown to be more critical than the scope of relation for the participation level.

Fashion Category Oversampling Automation System

  • Minsun Yeu;Do Hyeok Yoo;SuJin Bak
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.1
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    • pp.31-40
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    • 2024
  • In the realm of domestic online fashion platform industry the manual registration of product information by individual business owners leads to inconvenience and reliability issues, especially when dealing with simultaneous registrations of numerous product groups. Moreover, bias is significantly heightened due to the low quality of product images and an imbalance in data quantity. Therefore, this study proposes a ResNet50 model aimed at minimizing data bias through oversampling techniques and conducting multiple classifications for 13 fashion categories. Transfer learning is employed to optimize resource utilization and reduce prolonged learning times. The results indicate improved discrimination of up to 33.4% for data augmentation in classes with insufficient data compared to the basic convolution neural network (CNN) model. The reliability of all outcomes is underscored by precision and affirmed by the recall curve. This study is suggested to advance the development of the domestic online fashion platform industry to a higher echelon.

Development and Improvement of the Online Article Contribution Management System Based on KISTI-ACOMS for the Korean Society of Crop Science (KISTI-ACOMS를 기반으로 한 한국작물학회 온라인논문투고관리시스템 개발 및 개선 방안)

  • Park Jae-Won;Kang Mu-Yeong;Yoon Hwa-Mook
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.49 no.6
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    • pp.552-562
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    • 2004
  • KISTI(Korea Institute of Science and Technology Information) has developed the ${\ulcorner}$KITTI­ACOMS (KISTI-Article COntribution Management System)${\lrcorner}$ as part of the national project for automating the process of processing academic information by societies, in order to convert journals published by academic societies in Korea into an electronic form and make them accessible on the Internet. This system has been developed in the year 2001 and has since been distributed to societies free of charge. The number of societies requesting the service has risen recently, which prompted us to take more recommendations of the societies that adopt this system into account in expanding and standardizing the area of service being provided by the system. This paper will investigate the functions of KISTI-ACOMS constructed for use in the Korean Society of Crop Science and list the functions and requirements for the next system to enhance the on-line paper management system.

A Study on the Development and Improvement of the Online Article Contribution Management System Based on KISTI-ACOMS for Korean Society of Environment and Ecology (KISTI-ACOMS를 기반으로 한 한국환경생태학회 온라인논문투고관리시스템 개발 및 개선방안)

  • Park Jae-Won;Choi Sun-Hee;Kang Mu-Yeong
    • Korean Journal of Environment and Ecology
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    • v.18 no.4
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    • pp.456-464
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    • 2004
  • KISTI(Korea Institute of Science and Technology Information) has developed the $\boxDr$KISTI-ACOMS(KISTI-Article COntribution Management System)$\boxUl$ as part of the national project for automating the process of processing academic information by societies, in order to convert journals published by academic societies in Korea into an electronic from and make them accessible on the Internet. This system was developed in the year 2001 and has since been distributed to societies free of charge. The number of societies requesting the service has risen recently, which prompted us to take more recommendations of the societies that adopt this system into account in expanding and standardizing the area of service being provided by the system. This paper will investigate the functions of KISTI-ACOMS constructed for use in the Korean Society of Environment and Ecology and list the functions and requirements for the next system to enhance the on-line paper management system.

Automatic Client Authentication Method in All-In-One Services (올인원 서비스에서 자동적인 고객 인증 기법)

  • Kim, Namyun
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.16 no.1
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    • pp.1-5
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    • 2016
  • The all-in-one service, for example, mobile wallet enables users to have credit card, membership card, and coupon in one place. It has been one of important o2o services with offline payment. In order to take advantage of mobile commerce, it is necessary to authenticate clients automatically without entering their passwords. This paper proposes an automatic client authentication method in all-in-one service. At registration, clients receives and stores an authentication ticket from a company, which contains an user's identifier and password encrypted by company's symmetric key. Client can be authenticated by transferring authentication tickets to companies at service requests.