• Proceedings of the Korea Contents Association Conference
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• 2004.05a
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• pp.529-534
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• 2004

KISTI has intended to provide domestic researchers of chemistry and materials with the Inorganic Crystal Structure Database free of charge. Therefore, we construct the database and develop new web-based information searching system with the use of the ICSD data licensed by the FIZ Karlsruhe, Germany. We organize several menus possible to search the structure of crystal in a variety of ways on the web and the search results show not only numerical data of the structure of crystal but also the graphic of X-ray diffraction pattern and the 3-dimension structure of crystal. The data will be updated continuously and the searching system will be improved in order to provide researchers with information easily and swiftly.

• The Journal of Korean Association of Computer Education
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• v.11 no.5
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• pp.77-88
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• 2008

Having observed the restriction of the current Web technology, the semantic Web has been developed, and it now has grown up with the core help of the W3C to a level where it recommends the OWL Web ontology language. Besides, in order to deduce the information out of OWL data, several inference systems have been developed such as Jena, Jess, and JTP. Unfortunately, however, quite few systems can effectively handle recently developed OWL data, and further, due to the limitation of file-based operation, the current inference systems cannot meet the requirements for handing huge OWL data. An efficient method for storing and searching ontology data is essential for ensuring stable information inference processes. In this study, firstly, we proposed a model based on the database management system to transform and store OWL data and to enable deduction process from the database. Secondly, we designed and implemented an effective OWL storing system based on our model. Finally, we compare our system with the previous inference systems through experimental performance analysis.

• 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%.

• Proceedings of the KIEE Conference
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• 2003.11a
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• pp.432-434
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• 2003

This paper developed the web based power flow program for education. Since a lot of users can connect and implement the web based program, the only one computer can get much evaluation burden not to compute. Using the XML technology, which supports the distributed computing technology, we have developed the web-based power flow software and system that are distributed the above calculation burden to three computers: web server, database server, application server. Also, this software was developed to get the difference of number of iteration and evaluation speed as veil as the results of state variables for each node according to the each calculation method for power flow using the chart. Therefore, users can get the physical concept of power flow in addition to the difference among the evaluation methods for power flow. We have performed the case studies with IEEE 14 bus system using the developed software.

• Proceedings of the Korea Database Society Conference
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• 2010.06a
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• pp.277-287
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• 2010

We are sometimes interacting with people who we know nothing and facing with the difficult task of making decisions involving risk in social network. To reduce risk, the topic of building Web of trust is receiving considerable attention in social network. The easiest approach to build Web of trust will be to ask users to represent level of trust explicitly toward another users. However, there exists sparsity issue in Web of trust which is represented explicitly by users as well as it is difficult to urge users to express their level of trustworthiness. We propose a fuzzy-based inference model for Web of trust using user behavior information in social network. According to the experiment result which is applied in Epinions.com, the proposed model show improved connectivity in resulting Web of trust as well as reduced prediction error of trustworthiness compared to existing computational model.

• Journal of Korea Society of Industrial Information Systems
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• v.7 no.2
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• pp.6-15
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• 2002

Advancement of Web technology has increased the number of web site and user population. Businesses develop Web applications as its core applications to support business transaction though Internet Although a systematic development methodology should be used to develop Web applications, most businesses do not follow a systematic approach. This study shows a systematic development approach for Web-based electronic commerce information systems. Specifically, it shows how to design a conceptual model following a hypermedia application development model RMM(Relationship Management Methodology) and develop a logical database represented in an XML(extensible Markup

• KSCE Journal of Civil and Environmental Engineering Research
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• v.39 no.6
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• pp.887-892
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• 2019

Many researchers have developed a series of vision-based technologies to monitor construction sites automatically. To achieve high performance of vision-based technologies, it is essential to build a large amount and high quality of training image database (DB). To do that, researchers usually visit construction sites, install cameras at the jobsites, and collect images for training DB. However, such human and site-dependent approach requires a huge amount of time and costs, and it would be difficult to represent a range of characteristics of different construction sites and resources. To address these problems, this paper proposes a framework that automatically constructs a training image DB using web crawling techniques. For the validation, the authors conducted two different experiments with the automatically generated DB: construction work type classification and equipment classification. The results showed that the method could successfully build the training image DB for the two classification problems, and the findings of this study can be used to reduce the time and efforts for developing a vision-based technology on construction sites.

• The Journal of Korean Association of Computer Education
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• v.3 no.1
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• pp.1-12
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• 2000

Recently, Linux operating system is used for web server environment, but to build web server applications need to be operated many related softwares, such as installing web server, web and database system integration and programming for script language. Most of schools in korea do not have computer specialist for building web server or cyber school. In this paper, we describe design and implementation of an automated building system(AnyBuilder) for cyber school. AnyBuilder build web-based cyber school system, just clicking a few of button and some commands. Especially, it has two phases to build cyber school, one is to generate empty web-based cyber school and the other is to upload contents of lecture.

• KIISE Transactions on Computing Practices
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• v.23 no.1
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• pp.13-27
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• 2017

This paper presents a tool that automatically generates mobile web applications from user interface (UI) models which are based on PELUM (Pattern and Event based Logical User Interface Modeling). PELUM is a method for the effective development of UI-centered embedded systems via UI modeling. The proposed tool consists of a model editor and a code generator. The former provides an environment for modeling a Logical UI Model (LUM) and a Programming Interface Model (PIM) on the web. On the other hand, the code generator sets the screen configuration and events' behavior, according to the LUM, synthesizing a local database schema according to the PIM, and then generates an executable mobile web app. It also can produce mashup web apps by receiving an open API address via the PIM. The generated mobile web apps follow the Model-View-Controller (MVC) architecture in order for users to easily customize them. The proposed tool enables them to generate mobile web apps that can be executed on various devices by modeling logical UIs on the web.

• Proceedings of the IEEK Conference
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• 2003.07d
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• pp.1435-1438
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• 2003

SOAP(Simple Object Access Protocol) that is a late protocol for exchange of information with Web Services that is useful for implementing common functions in especially a large size business area, is a protocol that is a lightweight, XML-based protocol over HTTP for exchange to information in decentralized, distributed environments. In this paper, we implement SOAP-based Web Services that can use with a slip database, for common slip processing functions in enterprise accounts in order to enhance the transparency of transactions by slip processing system. The result of this paper will contribute to increasing the productivity of enterprises through enhancing the standardization of slip data, reusability of functions, convenience of access, and efficiency of implementing applications.