• Journal of the Korean Operations Research and Management Science Society
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• v.28 no.3
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• pp.135-148
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• 2003

In this paper we introduce the Internet-based purchase support systems using data mining and case-based reasoning (CBR). Internet Business activity that involves the end user is undergoing a significant revolution. The ability to track users browsing behavior has brought the vendor and end customer's closer than ever before. It is now possible for a vendor to personalize his product message for individual customers at massive scale. Most of former researchers, in this research arena, used data mining techniques to pursue the customer's future behavior and to improve the frequency of repurchase. The area of data mining can be defined as efficiently discovering association rules from large collections of data. However, the basic association rule-based data mining technique was not flexible. If there were no inference rules to track the customer's future behavior, association rule-based data mining systems may not present more information. To resolve this problem, we combined association rule-based data mining with CBR mechanism. CBR is used in reasoning for customer's preference searching and training through the cases. Data mining and CBR-based hybrid purchase support mechanism can reflect both association rule-based logical inference and case-based information reuse. A Web-log data gathered in the real-world Internet shopping mall is given to illustrate the quality of the proposed systems.

• Journal of Korea Multimedia Society
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• v.3 no.3
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• pp.209-223
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• 2000

As the importance and utilization of multimedia data increases, it becomes necessary to represent and manage multimedia data within database systems. In this paper, we designed and implemented an image retrieval system which support efficient management and intelligent retrieval of image data using concept hierarchy and data mining techniques. We stored the image information intelligently in databases using concept hierarchy. To support intelligent retrievals and efficient web services, our system automatically extracts and stores the user information, the user's query information, and the feature data of images. The proposed system integrates user metadata and image metadata to support various retrieval methods on image data.

• Proceedings of the Korea Information Processing Society Conference
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• 2001.10b
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• pp.1037-1040
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• 2001

생체인식 기술이 차세대 보안 기술로서 주목을 받고 있으나 대부분의 생체 시스템이 독립적으로 존재하고 있어, 표준화 노력의 일환으로 세계적인 생체인식협회인 BioAPI Consortium에서 표준 BioAPI version 1.1이 제정되었다. 본 논문에서는 BioAPI에서 제안한 명세서를 토대로 하여 클라이언트-서버구조로서 웹기반 사용자 인증시스템을 설계한다. 클라이언트는 입력 장치 및 BSP에 따른 Hybrid기법을 적용함으로서 신뢰성을 부여하여 웹 상에서 사용자의 취득 가능한 여러 생체 정보를 검증 자료로 사용하고, 실 시간성을 부여하기 위하여 ActiveX를 사용하여 객체의 크기를 작게 한다. 서버는 생체검증의 기본기능인 등록, 인증, 검증을 할 수 있도록 BioAPI 인터페이스를 사용하여 BSP에 따른 기 입력된 사용자의 생체 정보를 검증하게 되며, 본 논문에서는 구조적 접근 방법을 사용한 서명과 ID 및 password 의 조합을 검증기로서 사용하게 된다. 개방형 네트워크인 웹 상에서 생체 정보를 이용한 사용자 검증시스템은 전자 상거래 등의 신원확인이 필요한 분야에 신뢰성을 제공한다.

• Journal of Korean Library and Information Science Society
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• v.32 no.4
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• pp.77-98
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• 2001

As the role of a library has changed to the integrated management system of knowledge, the library needs new information retrieval tools. The purpose of this study is to propose a method and principle of the Korean-English semantic thesaurus construction for a knowledge management system. The method and principle is as follows; 1) in collecting terminology, I included not only internal documents but external documents on the web as a source for the descriptors extraction. 2) conceptual descriptors are more needed than semantic ones. I also proposed the necessity of the authority files for complement. 3) I proposed the appropriate scale of the descriptors to be 15,000 in a thesaurus. And 4) I proposed a hybrid method that used both a manual and an automatic process in establishing the relationship.

• Journal of Korea Spatial Information System Society
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• v.11 no.4
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• pp.28-32
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• 2009

For the ubiquitous web environment internet, as an one of the R&D projects by Korean Land Spatialization Group, the project for platform technologies was initiated to provide customized land information and geospatial service. The platform technologies can be categorized for streaming, mashup and geosearch. More specifically, the 2D/3D hybrid streaming engine, mashup engine for u-GIS service and next generation search engine for land information have been developed. In this context, the patent analyses are required to propose the strategies for efficient development and use of these technologies. This study searches the related patents in Korea, US and EU, analyzes the trend of them for customized spatial information technologies, and finally proposes proper strategies.

• Journal of Digital Convergence
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• v.11 no.3
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• pp.59-71
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• 2013

Cloud service (Amazon Web Services, etc.) to take advantage of the growing global competitiveness of small and medium companies with online services (eg Zynga, paprika wrap) are strenthening the growing global competitiveness by taking advantage of cloud utilization, and financial market analysis services by cloud use have appeared, but the domestic company's cloud still staying in the low-level. SMEs in Korea IT infrastructure needs as well as commercial services such as simulation, test environment configuration, to perform tasks that require a step-by-step in the product development process, which requires different IT Infrastructure Outsourcing workforce commitment, according to the rapid changes in the size of the organization's efficient IT infrastructure such as cloud services because of the lack of capacity to respond to a sudden demand for IT measures required.

• The Research Journal of the Costume Culture
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• v.22 no.2
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• pp.313-325
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• 2014

This study seeks to establish a ubiquitous wardrobe with a clothing management function through detailed and subdivided integration research. To create a database, a survey was conducted, and the output data were analyzed and used as the basic data. In particular, this study researched clothing management programs and companies' standards of clothing product classification systems. First, through an in-depth analysis centering on specialists, we established the contents of a ubiquitous wardrobe and used the concept of cloud computing to support the wardrobe contents and smart phone applications. Second, this research found significant differences between individuals, schools, and enterprises in their applications of, and the importance they attach to, design images. A detailed database composed of various categories was established to present the ubiquitous wardrobe contents with efficient functions. Third, we facilitated the search process by designating clothes with QR codes, which is one of the functions of contents. Fourth, the code numbers generated in the process of entering clothes into the database were utilized as RFID information as a way to arrange the products in a simpler manner. The ubiquitous wardrobe was constructed as a web-style hybrid, and its contents areavailable through mobile applications and QR codes.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.1
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• pp.193-198
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• 2011

As smartphone use has been steadily growing over the past year, social networking on the mobile phones appears to be increasing. In this paper, we propose a cross-platform mobile architecture for supporting social applications. The key design objectives for developing the proposed system include: 1) providing personalized data through filtering information which is supplied by various social applications, 2) providing a cross-platform architecture for adapting various smartphones such as Apple iPhone and Google android. We verified system design by implementing a smartphone application which displays the filtered pictures from social network services such as Flickr and Picasa.

• Steel and Composite Structures
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• v.23 no.4
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• pp.399-408
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• 2017

This paper experimentally studies the cyclic behavior of hybrid connections between steel coupling beams and concrete shear walls with embedded steel columns. Four beam-to-wall connection specimens with short and long embedded steel columns are tested under monotonic and cyclic loads, respectively. The influence of embedment length of columns on the failure mode and performance of connections is investigated. The results show that the length of embedded steel columns has significant effect on the failure mode of connections. A connection with a long embedded column has a better stiffness, load-bearing capacity and ductility than that of a short embedded column. The former fails due to the shear yielding of column web in the joint panel, while failure of the latter is initiated by the yielding of horizontal reinforcement in the wall due to the rigid rotation of the column. It is recommended that embedded steel columns should be placed along the entire height of shear walls to facilitate construction and enhance the ductility.

• International Journal of Computer Science & Network Security
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• v.21 no.8
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• pp.87-96
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• 2021

The demand for e-learning through video lectures is rapidly increasing due to its diverse advantages over the traditional learning methods. This led to massive volumes of web-based lecture videos. Indexing and retrieval of a lecture video or a lecture video topic has thus proved to be an exceptionally challenging problem. Many techniques listed by literature were either visual or audio based, but not both. Since the effects of both the visual and audio components are equally important for the content-based indexing and retrieval, the current work is focused on both these components. A framework for automatic topic-based indexing and search depending on the innate content of the lecture videos is presented. The text from the slides is extracted using the proposed Merged Bounding Box (MBB) text detector. The audio component text extraction is done using Google Speech Recognition (GSR) technology. This hybrid approach generates the indexing keywords from the merged transcripts of both the video and audio component extractors. The search within the indexed documents is optimized based on the Naïve Bayes (NB) Classification and K-Means Clustering models. This optimized search retrieves results by searching only the relevant document cluster in the predefined categories and not the whole lecture video corpus. The work is carried out on the dataset generated by assigning categories to the lecture video transcripts gathered from e-learning portals. The performance of search is assessed based on the accuracy and time taken. Further the improved accuracy of the proposed indexing technique is compared with the accepted chain indexing technique.