• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.12
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• pp.4697-4706
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• 2010

This paper suggested the optimal operating design method using simulation and ANP(Analytic Network Process) for mass-customization in the automotive component manufacturing industry. For this, first of all, we built the simulation model including various and complex factors in the field, and estimated the meta-model by RSM(Response Surface Method). Secondly using ANP, we calculated the weight of relative importance of evaluation factors gathered from decision makers. And then, we proposed the optimal operation designs by MOGA(Multi-Objective Genetic Algorithm), analyzed results of them. Moreover, by comparing the results with the consequences using AHP(Analytic Hierarchy Process), we showed its superiority of suggested method to the manner using AHP, because it reflects inner, outer dependency, and inter-relation among judgement factors. In conclusion, through this process, we can present the better way to serve mover effective, precise, and accurate information to decision makers when they build operation design for mass-customization system as automotive parts production system.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.22 no.1
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• pp.247-262
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• 2011

Although research has shown a significant amount of work identifying various dimensions of relevance along with exhaustive lists of relevance criteria, there seem to have been less effort to apply the findings to improve actual systems design. Based on this assumption, this paper investigates to what extent those relevance criteria have been incorporated into the interface features of major commercial Web search engines, suggesting what can/should be done more. Before stepping into the actual system features, this paper compares recent relevance research in Information Science with other human factor studies both in Information Science and its neighboring discipline (HCI), as an attempt to identify studies that are conceptually similar to the relevance research, but not named as such way. Similarities and differences between these studies are presented. Recommendations suggested to support applicable interface features include: 1) further personalization of interface designs; 2) author-supplied meta tags for the Web contents; and 3) extensions of beyond-topical representations based on link structure.

• Journal of Broadcast Engineering
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• v.9 no.2
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• pp.151-163
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• 2004

In this paper, we propose a content-based video indexing and retrieval system using MPEG-7 standard to retrieve and manage videos efficiently. The proposed system consists of video indexing module for a video DB and video retrieval module to allow various query methods on a web environment. Video indexing module stores metadata such as manually typed in keywords, automatically recognized character names, and MPEG-7 visual descriptors extracted by indexing module into a DB in a sever side. A user can access to retrieval module by a web and retrieve desired videos through various query methods like keywords, faces, example and sketch. For this retrieval system, we propose ATC(Adaptive Twin Comparison) as a cut detection method for efficient video indexing and QBME(Query By Modified Example) as an improved content-based query method for the convenience of users. Experimental results show that the proposed ATC method detects cuts well and the proposed QBME method provides the conveniences better than existing query methods such as QBE(Query By Example) and QBS(Query By Sketch).

• The Journal of the Korea Contents Association
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• v.10 no.8
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• pp.1-10
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• 2010

For virtual education, the multimodal learning environment with haptic feedback, termed 'immersive textbook', is necessary to enhance the learning effectiveness. However, the learning contents for immersive textbook are not widely available due to the constraints in creation and playback environments. To address this problem, we propose a framework for producing and displaying the multimodal contents for immersive textbook. Our framework provides an XML-based meta-language to produce the multimodal learning contents in the form of intuitive script. Thus it can help the user, without any prior knowledge of multimodal interactions, produce his or her own learning contents. The contents are then interpreted by script engine and delivered to the user by visual and haptic rendering loops. Also we implemented a prototype based on the aforementioned proposals and performed user evaluation to verify the validity of our framework.

• The Journal of the Korea Contents Association
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• v.16 no.10
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• pp.745-757
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• 2016

The objective of this study is to understand and give an overview regarding research trends in digital signage in Korea, which has recently received significant attention from the media market. For the past 10 years, from 2006 to 2016, 69 studies related to digital signage were found. Following the coding guidelines, the present study conducted a content analysis on the published peer-reviewed journals in Korea including their published year, each journal's number of compilations, journal ratings, number of researchers and their major, field of research, research medium, research method, research samples, and the applied statistical analysis. Through the analyzed results, we found out that there are numerous studies on digital signage in various fields of study, including media content. A number of case studies and experimental studies were made. However, theoretical research on digital signage was still found to be insufficient. Lastly, a wider variety of theories are suggested to be applied in future study along with conducting joint research with cooperation between industry partners and academics in order to further advance the research on digital signage.

• Proceedings of the Korea Contents Association Conference
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• 2011.05a
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• pp.185-186
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• 2011

본 연구의 목적은 미국국립의학도서관(NLM)의 Unified Medical Language System(UMLS)에 한의학의 용어를 등재하는 것이다. 1차 등재 대상으로 한국한의학연구원(KIOM)에서 진행중인 한의학 용어 정제 연구 결과물 중 임(任) 독맥(督脈)과 12정경(正經)에 속하는 360개의 경혈명(經穴名)의 Concept Unique Identify(CUI)를 선정하였다. UMLS Knowledge Source Server (UMLSKS)의 메타시소러스 검색을 통해 UMLS 내 경혈(經穴)용어에 대한 terminology정보를 수집, 분석하였다. 이를 바탕으로 용어간 개념 비교를 통해 UMLS의 경혈(經穴)용어와 KIOM의 경혈(經穴)용어를 매핑하였다. 마지막으로 Rich Release Format(RRF)로 데이터를 저장하고, Unicode Transformation Format-8 (UTF-8)로 인코딩하여 NLM으로 송부하였다. NLM에서 용어 등재에 대한 적합성 여부를 판별한 후 2010AB버젼에 "TKMT2010"이라는 소스명으로 한글로 된 한의학 용어가 최초로 UMLS에 등재되었다. 향후 UMLS와 같은 국제표준의학용어와 연계를 통해 한의학 용어가 다양한 의학용어체계와 상호호완성을 확보하고 표준화, 세계화할 수 있도록 지속적인 연구가 필요하다.

• Journal of Advanced Navigation Technology
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• v.13 no.3
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• pp.426-431
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• 2009

Recently, the application of E-learning is changing the method that is able to process the learning to learner more efficiently and conveniently. For this purpose, the application research of U-learning that is able to support the learning using mobile device such as PDA, NetBook, Tablet PC and so on is actively processing. But lots of U-learning framework is only considering the change to fit the exist learning contents the mobile device without SCORM that is able to support to make and process the learning contents by regular forms. In this paper, we proposed the learning contents interconnection of U-learning framework considering SCORM. For this purpose, we have to construct the learning by learning object and asset within SCORM. And this method can support learning information that was reconstructed it by learning contents to fit the mobile device as used the mobile device meta-data.

• The Journal of the Korea Contents Association
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• v.20 no.9
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• pp.439-447
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• 2020

Public data refers to all data or information created by public institutions, and public information that leads to communication and cooperation among all people. Public data is an important method to lead the next generation of new industries such as artificial intelligence and smart cities, Korea is continuously ranked high in the international evaluation related to public data. However, despite the continuous efforts, the use of public data or industrial influence is insufficient. Quality issues are continuously discussed in the use of public data, but the criteria for quantitatively evaluating data are insufficient. This paper reviews indicators for public data quality evaluation and performs quantitative evaluation on selected public data. In particular, the quality of open standard data constructed and opened based on public data management guidelines is examined to determine whether government guidelines are appropriate. The data quality assessment includes the metadata and data values of open standard data, and is reviewed based on completeness and accuracy indicators. Based on the data analysis results, this paper proposes policy and technical measures for quality improvement.

• Journal of the Korea Computer Graphics Society
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• v.19 no.2
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• pp.1-8
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• 2013

Captured human motion data has been widely utilized for understanding the mechanism of human motion and synthesizing the animation of virtual characters. Searching for desired motions from given motion data is an important prerequisite of analyzing and editing those selected motions. This paper presents a new method of content-based motion retrieval without the need of additional metadata such as keywords. While existing search methods have focused on skeletal configurations of body pose or planar trajectories of locomotion, our method receives a three-dimensional trajectory as its input query and retrieves a set of motion intervals in which the trajectories of body parts such as hands, foods, and pelvis are similar to the input trajectory. In order to allow the user to intuitively sketch spatial trajectories, we used the Leap Motion controller that can precisely trace finger movements as the input device for our experiments. We have evaluated the effectiveness of our approach by conducting a user study in which the users search for dozens of pre-selected motions from baseketball motion data including a variety of moves such as dribbling and shooting.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.3
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• pp.15-22
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• 2012

For the construction of safe and clear urban environment, it is necessary that we identify the rubbish waste volume and we know the accuracy volume. In this paper, we developed the algorithm which computes the waste volume using the stereo camera for enhancing the environment of waste repository. Using the stereo vision camera, we first computed the distortion parameters of stereo camera and then we obtained the points cloud of the object surface by measuring the target object. Regarding the points cloud as the input of the volume calculation algorithm, we obtained the waste volume of the target object. For this purpose, we suggested two volume calculation algorithm based on the uniform meshing method. The difference between the measured volume such as today's one and yesterday's one gives the reposit of waste volume. Using this approach, we can get the change of the waste volume repository by reading the volume reports weekly, monthly and yearly, so we can get quantitative statistics report of waste volume.