• 한국비블리아학회지
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• 제14권2호
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• pp.159-178
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• 2003

본 연구는 대학도서관에서 제공하는 전자게시판 중 자유게시판, Q＆A, FAQ, 참고질의 응답의 4가지 유형의 참고서비스를 대상으로 게재되는 질문의 유형과 내용을 분석함으로써 서비스 유형별 특성을 조사하고 이용자의 정보요구를 파악하였다. 분석한 결과, 4가지 서비스의 유형에 따라 질문유형별 차이를 발견하지 못하였다. 모든 서비스에서 안내형 질문이 가장 많았으며, 주제형 질문은 미미한 것으로 나타났다. 분석결과를 토대로 4가지 유형별 서비스에 대한 발전방안을 제시하였다: 서비스 유형에 대한 메뉴명칭의 표준화, 서비스 접근이 용이한 메뉴 배치, 각 서비스에 적합한 성격 명시, 내용검색기능과 응답기능을 첨가하는 구조개선, 질문작성 양식의 제안, 전자참고서비스의 전담부서 및 전담자배치, 정책마련, 홍보강화를 제안하였다.

• Journal of Communications and Networks
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• 제18권1호
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• pp.112-122
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• 2016

Cognitive radio (CR) is considered an attractive technology to deal with the spectrum scarcity problem. Multi-radio access technology (multi-RAT) can improve network capacity because data are transmitted by multiple RANs (radio access networks) concurrently. Thus, multi-RAT embedded in a cognitive radio network (CRN) is a promising paradigm for developing spectrum efficiency and network capacity in future wireless networks. In this study, we consider a new CRN model in which the primary user networks consist of heterogeneous primary users (PUs). Specifically, we focus on the energy-efficient resource allocation (EERA) problem for CR users with a special location coverage overlapping region in which heterogeneous PUs operate simultaneously via multi-RAT. We propose a two-tier crossover genetic algorithm-based search scheme to obtain an optimal solution in terms of the power and bandwidth. In addition, we introduce a radio environment map to manage the resource allocation and network synchronization. The simulation results show the proposed algorithm is stable and has faster convergence. Our proposal can significantly increase the energy efficiency.

• 한국문헌정보학회지
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• 제29권
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• pp.281-304
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• 1995

The purpose of this study is to identify the degree to which the card catalog in a university library serves its users and to provide useful information for the design of conversion from card catalog to online catalog. From August 19th to September 16th 1995, 278 users of Duksung Women's University Library were randomley selected and surveyed in terms of card catalog use, success rate of card searching, and catalog use training received. Major findings are as follows: 1. Taking into considerations the fact that Library users tended to use more heavily oriental card catalog$(61.8\%)$ than western card catalog$(8.3\%)$ or classification card catalog$(26.3\%)$, oriental card catalog should be designed to improve its search function of the catalog. 2. It was found that the university library card catalog was not easy to use by $49.3\%$ of the users of Duksung University Library. 3. One of main reasons why the card catalog is hard to use is that there is no subject card to which users can access for subject searching. Besides, users have difficulties in locating appropriate classification numbers for subjects which users are interested in. 4. When success rate is defined as finding appropriate cards in catalog boxes, the success rate was reported to be $87.0\%$. 5. The major access points of known items which library users utilized mostly were author$(18.3\%)$ and title$(74.5\%)$. 6. In case of translated versions of foreign materials, original author name cards instead of pronounced original name card written in Korean were given to them as access points. $79.9\%$ of library users of Duksung Women's University insisted that both original and pronounced author name writ':en in Korean should be given as access points to foreign authors for the sake of user's convenience. 7. Formal training programs for card catalog use were found not to be sufficient. Small group informal training courses should be offered to users who need to get information for catalog use by library staffs. 8. Considering the trend that orders of access points have been changed from title, author and subject in card catalog to title, keyword, and author in online catalog, the existing card catalog of Duksung Women's University is expected not to meet future users' needs for subject searching unless the funcions of subject searching of catalog is improved.

• Journal of Information Technology Applications and Management
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• 제20권3_spc호
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• pp.231-257
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• 2013

The recent rise in the unstructured data generated by social media has resulted in an increasing need to collect, store, search, analyze, and visualize it. These data cannot be managed effectively by using traditional data analysis methodologies because of their vast volume and unstructured nature. Therefore, many attempts are being made to analyze these unstructured data (e.g., text files and log files) by using commercial and noncommercial analytical tools. Especially, the attempt to discover meaningful knowledge by using text mining is being made in business and other areas such as politics, economics, and cultural studies. For instance, several studies have examined pending national issues by analyzing large volumes of texts on various social issues. However, it is difficult to create satisfactory information services that can identify R&D documents on specific national issues from among the various R&D resources. In other words, although users specify some words related to pending national issues as search keywords, they usually fail to retrieve the R&D information they are looking for. This is usually because of the discrepancy between the terms defining pending national issues and the corresponding terms used in R&D documents. We need a mediating logic to overcome this discrep 'ancy so that we can identify and package appropriate R&D information on specific pending national issues. In this paper, we use association analysis and social network analysis to devise a mediator for bridging the gap between the keywords defining pending national issues and those used in R&D documents. Further, we propose a methodology for packaging R&D information services for pending national issues by using the devised mediator. Finally, in order to evaluate the practical applicability of the proposed methodology, we apply it to the NTIS(National Science & Technology Information Service) system, and summarize the results in the case study section.

• 대한인간공학회지
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• 제31권4호
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• pp.515-523
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• 2012

Objective: The aim of this study is to investigate users' intuitive stereotypes on non-touch gestures and establish the gesture dictionary that can be applied to gesture-based interaction designs. Background: Recently, the interaction based on non-touch gestures is emerging as an alternative for natural interactions between human and systems. However, in order for non-touch gestures to become a universe interaction method, the studies on what kinds of gestures are intuitive and effective should be prerequisite. Method: In this study, as applicable domains of non-touch gestures, four devices(i.e. TV, Audio, Computer, Car Navigation) and sixteen basic operations(i.e. power on/off, previous/next page, volume up/down, list up/down, zoom in/out, play, cancel, delete, search, mute, save) were drawn from both focus group interview and survey. Then, a user participatory design was performed. The participants were requested to design three gestures suitable to each operation in the devices, and they evaluated intuitiveness, memorability, convenience, and satisfaction of their derived gestures. Through the participatory design, agreement scores, frequencies and planning times of each distinguished gesture were measured. Results: The derived gestures were not different in terms of four devices. However, diverse but common gestures were derived in terms of kinds of operations. In special, manipulative gestures were suitable for all kinds of operations. On the contrary, semantic or descriptive gestures were proper to one-shot operations like power on/off, play, cancel or search. Conclusion: The touchless gesture dictionary was established by mapping intuitive and valuable gestures onto each operation. Application: The dictionary can be applied to interaction designs based on non-touch gestures. Moreover, it will be used as a basic reference for standardizing non-touch gestures.

• 한국디지털정책학회:학술대회논문집
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• 한국디지털정책학회 2004년도 International Conference on Digital Policy & Management
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• pp.405-421
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• 2004

The digital government is one of the most significant areas of study to emerge in information science in the past several years. The digital government is, in broad terms, a computerized system that allows a community of users to obtain a coherent means of access to an organized, electronically stored repository of information and knowledge. The information resources and technologies embodied by the World Wide Web are now accepted ad the primary example of the digital government. The need exists for a means to measure user success in the digital government. Because a digital government environment involves two broad functions?1) information search and retrieval and 2) interactivity with and through the medium-this research posits that measures of both of these functions will show positive correlation with user success.

• 아동학회지
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• 제30권6호
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• pp.111-124
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• 2009

The importance of information media in personal lives has increased rapidly, indicating the average ages of users are becoming younger. School-age children, despite the inconsequential differences, are reported to have used the internet for their free time, information search, communications, and education. Recent researches are focused on various variables affecting internet-addictions since these problems have become a major issue in education due to prolonged use of the internet or mobile. The regulations as a preventative measure and the setting of standard are also considered as major issues of research. In terms of policy, there should be revisions on laws and regulations about the internet and mobile in order to protect school-age children from vicious environments. For the education's part, there should be appropriate amount of education, for children and their parents, on how to use computers and the internet properly and how to prevent internet-addiction.

• 반도체디스플레이기술학회지
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• 제12권4호
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• pp.33-38
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• 2013

Image retrieval is one of the most exciting and fastest growing research fields in the area of multimedia technology. As the amount of digital contents continues to grow users are experiencing increasing difficulty in finding specific images in their image libraries. This paper proposes an efficient image descriptor which uses a local color and texture in the non-overlapped block images. To evaluate the performance of the proposed method, we assessed the retrieval efficiency in terms of ANMRR with common image dataset. The experimental trials revealed that the proposed algorithm exhibited a significant improvement in ANMRR, compared to Dominant Color Descriptor and Edge Histogram Descriptor.

• 정보통신설비학회논문지
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• 제10권3호
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• pp.103-109
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• 2011

With the growing popularity of digital video applications, those areas of the efficient transmit, storage management, and search technology for video data are emerging as an important core technology. To be an effective video indexing system, users need to be able to find the video segments that they want. Unfortunately, video data is difficult to manage because of its unstructured data type and large volume with linear forms. This paper proposes a shot verification using visual rhythm and video retrieval system. The shot verification is designed to detect a segment from video easily and quickly, known as shot boundaries, just by changing the visual rhythm without playing the image. Therefore, this can decrease the false detected shots and generate the unidentified shots and key frames. The retrieval system is constructed in terms of visual descriptor from the list of MPEG-7. The effectiveness of the proposed shot verification process and video retrieval system is demonstrated.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2002년도 봄 학술발표논문집 Vol.29 No.1 (B)
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• pp.238-240
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• 2002

If there is an Information Retrieval system which comprehends the semantic content of documents and knows the preference of users. the system can search the information better on the Internet, or improve the IR performance. Therefore we propose the IR model which combines semantic based indexing and fuzzy relevance model. In addition to the statistical approach, we chose the semantic approach in indexing, lexical chains, because we assume it would improve the performance of the index term extraction. Furthermore, we combined the semantic based indexing with the fuzzy model, which finds out the exact relevance of the user preference and index terms. The proposed system works as follows: First, the presented system indexes documents by the efficient index term extraction method using lexical chains. And then, if a user tends to retrieve the information from the indexed document collection, the extended IR model calculates and ranks the relevance of user query. user preference and index terms by some metrics. When we experimented each module, semantic based indexing and extended fuzzy model. it gave noticeable results. The combination of these modules is expected to improve the information retrieval performance.