• Journal of Internet Computing and Services
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• v.16 no.3
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• pp.43-57
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• 2015

In this thesis was conducted to propose a method for efficient information retrieval using concept lattices. Since this thesis designed a new system based on ordinary concept lattices, it has the same approach method as ontology, but this thesis proposes new concept lattices to be used by establishing collaborative relations between objects and concepts that users are likely to search information more efficiently. The system suggested by this thesis can be summarized as below. Firstly, this system leads to a collaborative search by using Three kinds of concepts, such as keyword concept lattices, which focus on input key words, expert concept lattices recommended by experts and theme concept lattices, and based on these 3 concept lattices, it will help users search information they want more efficiently. Besides, as the expert concept and the keyword concept become combined, further providing users with the frequency of keyword and the frequency of category, this system can function to recommend key words related to search words entered by users. Another function of this system is to inform users of key words and categories used in users' interested themes by using the theme concept lattices. Secondly, when there is not keyword entered by a user, it is possible for users to achieve the goal of search through the secondary search when this system provides them with key words related to the input keyword. Thirdly, since most of the information is managed while being dispersed, such dispersed and managed information not only has different expression methods but changes as time goes. Accordingly, By using XMDR for efficient data access and integration of distributed information, this thesis proposes a new technique and retrieval system to integrate dispersed data.

• Journal of Information Technology Applications and Management
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• v.20 no.2
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• pp.1-14
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• 2013

Learning accounting has always been a challenge for non-accounting students and managers. Understanding accounting information requires more than a numerical description of financial and income statements. Current accounting practice presents accounting reports in the form of tables with values or in two or three dimensional graphs generated by a spread sheet program. The present study proposes an alternative visualization with metaphor from nature as a learning device for novice users and managers. After surveying various kinds of plants, the lotus flower was chosen as an attractive analogy because every part of the plant from leaves to roots is usable and can have economic value. Moreover, lotus flowers, whether man-made or natural, can easily be part of a familiar, natural ecology representing both beauty and serenity. Results from online survey respondents (n = 220) showed that there was no significant difference on overall usability of the Lotus visualization between expert users and novice users. However, verbally-oriented users differed Significantly from visually-oriented users in their usability assessment, perceived usefulness, and intention to use the Lotus visualization.

• Journal of Korea Multimedia Society
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• v.20 no.5
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• pp.827-834
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• 2017

Android's inter-application access enriches its application ecosystem. However, it exposes security vulnerabilities where end-user data can be exploited by attackers. While existing techniques have focused on minimizing the risks of inter-application access, they either suffer from inaccurate risk detection or are primarily available to expert users. This paper introduces a novel technique that automatically analyzes potential risks between a set of applications, aids end-users to effectively assess the identified risks by crowdsourcing assessments, and generates an access control policy which prevents unsafe inter-application access at runtime. Our evaluation demonstrated that our technique identifies potential risks between real-world applications with perfect accuracy, supports a scalable analysis on a large number of applications, and successfully aids end-users' risk assessments.

• Journal of the Ergonomics Society of Korea
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• v.26 no.4
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• pp.57-64
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• 2007

In the world, the old population is growing fast and many countries went into an advanced age society. Therefore the development of everyday products, electric appliances, and welfare services considering old people is more important than ever. In particular, the complexity of products can cause many problems for old people. Universal design is an approach to create environments and products that recognizes the diversity of users, regardless of their ability or age. Universality evaluation for a product is very important to verify old people's accessibility and usability for the product. Universality means how good a product was designed in view of universal design principles. In this study, UNIX, a method to evaluate the universality of a product was developed. UNIX was based on seven universal design principles; equitable use, flexibility in use, simple and intuitive, perceptible information, tolerance for error, low physical effort, size and space for approach and use. UNIX is a kind of expert evaluation and very simple method. The method is consisted of two steps. In the first step, relative weights for seven principles and subjective ratings on design suitability for each principle are obtained. In the second step, universality index (UNIX) of each product is obtained by weighted average multiplying relative weights and rating scores. As a case study, this method was applied for mouse designs. In conclusion, this method could be effectively applied to evaluate the universality of a product.

• Journal of the Ergonomics Society of Korea
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• v.18 no.3
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• pp.55-72
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• 1999

Evaluation of user interfaces has to be performed in an intuitive and subjective manner by experts especially when the problem comes to the complexity and consistency of sophisticated interface procedures. The manual analysis and evaluation of logical interfaces also tends to be slow and laborious. To make the evaluation more formal and objective, the criteria and the procedure with which the evaluation can proceed must be explicitly prescribed. Furthermore, to make the formal procedure as practical as subjective expert evaluation, the criteria must reflect the user knowledge of the target tasks since the task knowledge plays the role of a basis for users to understand the interface organizations and procedures. This paper describes ESTIM, a support system for task-based evaluation of user interface, that includes the interface evaluation criteria and implies an evaluation procedure. The support system can be used either in an interactive manner by the analyst during the evaluation or in an automatic evaluation mode. It was verified that the result of automatic evaluation by ESTIM matched the results of expert evaluation fairly well.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 1998.10a
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• pp.381-388
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• 1998

This paper describes the development of an expert system designed to help engineers select proper foundation types and construction methods for structures under various subsoil conditions. The system includes geographical and geological data in certain areas of Ulsan and a knowledge base for the selection of foundation types. Geological data, such as boring logs, in the areas were collected and arranged to form the subsoil database in the areas concerned Test borings at 30 holes were carried out for reference and confirmation purposes. The use of this system is twofold. It provides the users with a quick view on the geological situations of the areas concerned, and suggests proper foundation types for the specific spot together with some explanations on the selected foundation types and methods.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.5 no.4
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• pp.353-359
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• 2005

In this research, we propose a Unified Fuzzy rule-based knowledge Inference Systems (UFIS) to help the expert in cosmetic brand detection. Users' preferred cosmetic product detection is very important in the level of CRM. To this purpose, many corporations trying to develop an efficient data mining tool. In this study, we develop a prototype fuzzy rule detection and inference system. The framework used in this development is mainly based on two different mechanisms such as fuzzy rule extraction and RDB (Relational DB)-based fuzzy rule inference. First, fuzzy clustering and fuzzy rule extraction deal with the presence of the knowledge in data base and its value is presented with a value between 0 -1. Second, RDB and SQL (Structured Query Language)-based fuzzy rule inference mechanism provide more flexibility in knowledge management than conventional non-fuzzy value-based KMS (Knowledge Management Systems).

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.8
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• pp.1255-1258
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• 2022

Recently, immersive VR/AR contents have actively increased, and various services related to VR/AR allow users to experience remote places. For example, if failure situations occur frequently in factory of the remote site, mixed reality (MR) with a synthetic virtual human expert in reconstructed remote location can help immediate maintenance task with interaction between the operator and the virtual expert. In this paper, we present a technique for synthesizing the virtual human after capturing a 360-degree panorama of a remote environment, and analyze the effects to apply a method of guiding virtual human by interaction types. According to this paper, it was shown that co-presence level significantly increased when verbal, facial expression, and non-verbal animation of the virtual human was all expressed.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.11a
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• pp.271-275
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• 2005

In this research, we propose a Unified Fuzzy rule-based knowledge Inference Systems UFIS) to help the expert in cosmetic brand detection. Users' preferred cosmetic product detection is very important in the level of CRM. To this Purpose, many corporations trying to develop an efficient data mining tool. In this study, we develop a prototype fuzzy rule detection and inference system. The framework used in this development is mainly based on two different mechanisms such as fuzzy rule extraction and RDB (Relational DB)-based fuzzy rule inference. First, fuzzy clustering and fuzzy rule extraction deal with the presence of the knowledge in data base and its value is presented with a value between $0\∼1$. Second, RDB and SQL(Structured Query Language)-based fuzzy rule inference mechanism provide more flexibility in knowledge management than conventional non-fuzzy value-based KMS(Knowledge Management Systems)

• Proceedings of the Computational Structural Engineering Institute Conference
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• 1999.10a
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• pp.168-175
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• 1999

The previous study was an expert system development that help engineers select proper foundation types and construction methods for structures under various subsoil condition. The system includes geographical and geological data in certain areas of Ulsan and a knowledge base for the selection of foundation types. However, the system, a kind of application program, has a weakness that it can be used only when it is installed at each user's own computer. Therefore, the purpose of the research is to more the system operated on Internet and spread over to more users. So, Server Installation, ActiveX, ADO(Active Data Objects) and ASP(Active Server Pages), which are the requirements to operate the system on Internet, are to be investigated through the research.