• 대한산업공학회지
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• 제26권4호
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• pp.411-420
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• 2000

Among the standards of CALS, CITIS(Contractor Integrated Technical Information Service) is a standard in information share procedure which manages all data and services occurred between a contractor and a purchaser. CITIS services have some security problems like authentication problem and repudiation problem, when they are implemented using the Internet. To solve these problems, CITIS needs a user certificate system which can allow to access important information only to qualified users. This paper proposed a PKI(Public Key Infrastructure) Certificate Authority for CITIS, and created a real User Certificate System which can be adjusted to circumstances of real CITIS.

• 한국컴퓨터정보학회논문지
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• 제9권4호
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• pp.61-69
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• 2004

인간과 컴퓨터 사이의 복잡한 상호작용을 지원하기 위해서는 사용자 인터페이스의 설계가 중요하다. 고객의 요구사항을 수집하고 설계하기 위하여 매우 포괄적인 다방면의 지식이 요구된다. 사용자 인터페이스 설계자는 그래픽 전문가, 요구사항 분석가, 시스템 설계자, 프로그래머, 기술 전문가, 사회 행동과학자, 그리고 업무분야에 따라서 그 분야의 전문가를 필요로 한다. 따라서 다방면의 전문성을 만족시킬 수 있는 사용자 인터페이스를 설계하기 위하여 더 많은 연구가 요구되고 있다. 본 논문에서는 필드 추상화 객체, 태스크 추상화 객체, 트랜잭션 추상화 객체, 폼 추상화 객체 등의 4단계의 가시화 기법을 제안한다. 이 모델링 단계는 사용자 인터페이스에서 가시적 응집도를 향상시켜주고, 초보 설계자도 양질의 사용자 인터페이스를 개발할 수 있도록 지원한다.

• 한국컴퓨터정보학회논문지
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• 제22권11호
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• pp.97-104
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• 2017

Location prediction has been successfully utilized to provide high quality of location-based services to customers in many applications. In its usual form, the conventional type of location prediction is to predict future locations based on user's past movement history. However, as location prediction needs are expanded into much complicated cases, it becomes necessary quite frequently to make inference on the locations that target user visited in the past. Typical cases include the identification of locations that infectious disease carriers may have visited before, and crime suspects may have dropped by on a certain day at a specific time-band. Therefore, primary goal of this study is to predict locations that users visited in the past. Information used for this purpose include user's demographic information and movement histories. Data mining classifiers such as Bayesian network, neural network, support vector machine, decision tree were adopted to analyze 6868 contextual dataset and compare classifiers' performance. Results show that general Bayesian network is the most robust classifier.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권11호
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• pp.2903-2923
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• 2023

Knowledge recommendation is a type of recommendation system that recommends knowledge content to users in order to satisfy their needs. Although using graph neural networks to extract data features is an effective method for solving the recommendation problem, there is information loss when modeling real-world problems because an edge in a graph structure can only be associated with two nodes. Because one super-edge in the hypergraph structure can be connected with several nodes and the effectiveness of knowledge graph for knowledge expression, a dual-channel hypergraph convolutional neural network model (DCHC) based on hypergraph structure and knowledge graph is proposed. The model divides user data and knowledge data into user subhypergraph and knowledge subhypergraph, respectively, and extracts user data features by dual-channel hypergraph convolution and knowledge data features by combining with knowledge graph technology, and finally generates recommendation results based on the obtained user embedding and knowledge embedding. The performance of DCHC model is higher than the comparative model under AUC and F1 evaluation indicators, comparative experiments with the baseline also demonstrate the validity of DCHC model.

• Journal of Information Science Theory and Practice
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• 제10권1호
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• pp.73-88
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• 2022

This exploratory study aims to understand the potential of log data analysis and expand its utilization in user research methods. Transaction log data are records of electronic interactions that have occurred between users and web services, reflecting information-seeking behavior in the context of digital libraries where users interact with the service system during the search for information. Two ways were used to analyze South Korea's National Digital Science Library (NDSL) log data for three days, including 150,000 data: a log pattern analysis, and log context analysis using statistics. First, a pattern-based analysis examined the general paths of usage by logged and unlogged users. The correlation between paths was analyzed through a χ² analysis. The subsequent log context analysis assessed 30 identified users' data using basic statistics and visualized the individual user information-seeking behavior while accessing NDSL. The visualization shows included 30 diverse paths for 30 cases. Log analysis provided insight into general and individual user information-seeking behavior. The results of log analysis can enhance the understanding of user actions. Therefore, it can be utilized as the basic data to improve the design of services and systems in the digital library to meet users' needs.

• 정보관리학회지
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• 제36권4호
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• pp.183-205
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• 2019

이용자의 정보요구를 파악하기 위한 다양한 방법 중 로그 분석 방법은 이용자의 실제 검색 행위를 사실적으로 반영하고, 대다수 이용자의 전반적인 이용행태를 분석할 수 있다. 이에 본 연구에서는 국가기록원 웹 포털서비스를 통해 입수된 대량의 질의로그 빅데이터를 기반으로 이용자의 정보요구를 파악하기 위해 1) 질의에 내포된 정보요구 유형별과 2) 검색결과로 제공한 기록 유형별 분석을 진행하였다. 분석에 활용한 질의로그는 국가기록원이 웹을 통해 검색서비스를 제공한 2007년부터 2018년 12월까지, 총 141개월 동안 수집된 월별 상위 100개 질의어 1,571,547개를 대상으로 하였다. 나아가 분석결과를 토대로 이용자 검색 만족도를 향상시킬 수 있는 개선방안을 제안하였다. 본 연구의 결과는 국가기록원 검색 서비스 개선 및 고도화를 위한 구체적이고 실질적 방안을 제시했다는 점에서 의의가 있다.

• 한국도서관정보학회지
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• 제24권
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• pp.81-106
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• 1996

Without an accurate understanding of information needs of library users, an efficient services can't be implement. And we can expect that there is a difference between query statement and actual information needs of users. It also will occur difference in the process of librarian's interpretation of query statement because of an inaccurate presentation and their different working experiences. It means that there is a communication problems between users and librarians. The purpose of this study is to provide the techniques of face to face communication between users and librarians as a method of efficient library service activities. And focused on the importance of non-language communication. The effectiveness of this study are as follows: 1. With the understanding of information flow, librarians can expand the extent of library services. 2. Knowing that how to communicate with users at the a n.0, ppropriate degree, librarians can improve the communication techniques. 3. Expanding the satisfaction of information services and heitening the reliability of users. 4. From the analysis of user information needs, librarians can convert present system to the proper service-oriented system. 5. Knowing the importance of non-language communication, librarians can improve the service environment.

• 국제학술발표논문집
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• The 5th International Conference on Construction Engineering and Project Management
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• pp.570-575
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• 2013

Enhancing utilization of buildings is gaining in importance in response to a challenging economy; thus, there is a need for a method that analyzes space, user, and user activity in an integrated way to provide project stakeholders with utilization information to support their decision-making about buildings. Conventional methods, such as architectural programming and post-occupancy evaluation, lack a formal relationship between user activity and other information, and therefore, are coarse-grained. This relationship has been formalized by two relatively new methods that provide fine-grained utilization information: workplace planning and space-use analysis. We characterize these two methods with focuses on their usage in different phases (i.e., planning, design, occupancy), required information that needs to be gathered, and the achievement and limitations in terms of three criteria, i.e., consistency, efficiency, and transparency. This characterization would not only help project stakeholders select and use a method that best meets their purposes for enhancing utilization of their buildings, but also provide researchers with promising research topics regarding enhancing utilization of buildings.

• 한국정보관리학회:학술대회논문집
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• 한국정보관리학회 1998년도 제5회 학술대회 논문집
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• pp.23-26
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• 1998

본 연구는 여성문제 연구자들의 정보이용현황과 정보요구를 조사, 분석하고 정보의 체계적 유통을 위하여 관련기관과의 정보네트워크 구축 방안을 모색해 봄으로써 이용자 요구에 근거한 여성정보시스템 구축을 위한 기초자료를 마련하기 위한 것이다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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• pp.276-279
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• 2004

The location-based service is one of the most powerful services in the mobile area. The location-based service provides information service for moving user's location information and information service using wire / wireless communication. In this paper, we propose a model for personalized recommendation system which includes location information and personalized recommendation system for location-based service. For this service system, we consider mobile clients that have a limited resource and low bandwidth. Because it is difficult to input the words at mobile device, we must deliberate it when we design the interface of system. We design and implement the personalized recommendation system for location-based services(advertisement, discount news, and event information) that support user's needs and location information. As a result, it can be used to design the other location-based service systems related to user's location information in mobile environment. In this case, we need to establish formal definition of moving objects and their temporal pattern.