• Journal of Distribution Research
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• v.16 no.5
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• pp.123-140
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• 2011

This study analyzed large distributors' trade features with local suppliers and their direct purchase features through the survey and the interview targeting some MDs(Merchandisers) in large retailers responsible for buying fresh foods (agricultural, fishery, livestock and proceeded products). As the result of conducting the survey targeting the large purchase MDs, it was found that when they select local suppliers, they importantly consider the factors of stable products supply, the quality management, the aggressive management attitude, the affordable (cheap) price, and the suggestion of differentiated goods in order. Concerning their direct purchases in local places, their preference toward the direct-purchase traders were higher than that toward vendors and whole markets as their existing major traders. Among the traders for direct purchase, they preferred farm corporations (including agricultural corporations) the most, and followed the National Agricultural Cooperative, and the unit agricultural cooperative in order. Regarding to the trades with suppliers, when they set the trade price, the merchandisers (MDs) of large distributors preferred long-term trades over 2 years, and utilized the factors of market rate(50.9%), production cost(31.2%) and sale price in the same industry(18.0%). For the local distribution organizations to aggressively counteract the changes of distribution environment in the consumption places, it needs some strategies to organize the agricultural production, to expand the production size and to specialize the distribution channels. And the supply system's continuality and stability are required, so it needs to establish the counteract system enabling to supply all year round through the link of production organizations. Additionally, as an effort to intensify the market negotiation ability, it should collect various market information from the consumption places.

• Proceedings of the Speleological Society Conference
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• 1992.07a
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• pp.35-39
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• 1992

인간은 누구를 막론하고 미지의 지역에 대한 동경과 아울러 그 지역을 방문해 보고자 하는 기본적인 심리를 가지고 있다. 특히 경제적 여유가 신장되고 관광에 대한 일반의 관심이 대단히 높아지면서 우리 주변에 산재하고 있는 관장자원들에 대해 관심을 가지게 된다. 지속적으로 늘어나는 관광객들 개개인의 서로 다른 욕구와 취향, 또는 외부적 여건으로 인한 지각(Perception)의 결과 관광 환경에 대한 상이한 Image가 형성될 것이며, 이는 곧 관광 주체로 하여금 관광지를 선택하게 하는데 있어서 중요한 역할을 하게 될 것이다. 관광지리학 분야에서의 관광자원 또는 Wildness에 대한 인지행동론적 연구는 1960년대의 주관적 환경을 강조하는 행태지리학에서 시작되었으며 관광 목적지에 대한 지각, 인지, Mental Map, 관광행태 등을 포함하고 있다. 이러한 연구들은 대부분 계량적이고 실증적인 시대의 전형적인 산물로서 관광객들의 직접적인 관광형태로 나타나게 하는 의사결정 과정을 중시하는 것이다. 일반적으로 환경에 대한 인지는 과거에 개인의 경험과 현재의 다양한 주변 여건에 의해 크게 달라질 수 있다. 오늘날 인지행태론적 연구는 관광지리학 뿐만 아니라 심리학, 사회학, 인류학 등 사회과학 전반에 걸쳐 연구가 활발하게 이루어 지고 있다. 따라서 본 논고에서는 관광지 및 관광자원에 대한 국내외의 인지행태론적 연구를 검토해 보고 이러한 연구에 많이 이용되고 있는 MDS 분석법을 살펴 보고자 한다.

• Journal of Broadcast Engineering
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• v.9 no.4 s.25
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• pp.305-321
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• 2004

With the advent of the digital broadcasting, the audiences can access a large number of TV programs and their information through the multiple channels on various media devices. The access to a large number of TV programs can support a user for many chances with which he/she can sort and select the best one of them. However, the information overload on the user inevitably requires much effort with a lot of patience for finding his/her favorite programs. Therefore, it is useful to provide the persona1ized broadcasting service which assists the user to automatically find his/her favorite programs. As the growing requirements of the TV personalization, we introduce our automatic user preference learning algorithm which 1) analyzes a user's usage history on TV program contents: 2) extracts the user's watching pattern depending on a specific time and day and shows our automatic TV program recommendation system using MPEG-7 MDS (Multimedia Description Scheme: ISO/IEC 15938-5) and 3) automatically calculates the user's preference. For our experimental results, we have used TV audiences' watching history with the ages, genders and viewing times obtained from AC Nielson Korea. From our experimental results, we observed that our proposed algorithm of the automatic user preference learning algorithm based on the Bayesian network can effectively learn the user's preferences accordingly during the course of TV watching periods.

• The Journal of the Korea Contents Association
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• v.9 no.9
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• pp.97-104
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• 2009

This paper describes comparison and analysis of methodology which enables us in order to search the projection technique of optimum for projection in the plane. For this methodology, we applies the high-dimensional facial motion capture data respectively in linear and nonlinear projection techniques. The one core element of the methodology is to applies the high-dimensional facial expression data of frame unit in PCA where is a linear projection technique and Isomap, MDS, CCA, Sammon's Mapping and LLE where are a nonlinear projection techniques. And another is to find out the methodology which distributes in this low-dimensional space, and analyze the result last. For this goal, we calculate the distance between the high-dimensional facial expression frame data of existing. And we distribute it in two-dimensional plane space to maintain the distance relationship between the high-dimensional facial expression frame data of existing like that from the condition which applies linear and nonlinear projection techniques. When comparing the facial expression data which distribute in two-dimensional space and the data of existing, we find out the projection technique to maintain the relationship of distance between the frame data like that in condition of optimum. Finally, this paper compare linear and nonlinear projection techniques to projection high-dimensional facial expression data in low-dimensional space and analyze it. And we find out the projection technique of optimum from it.

• Journal of the Korea Society of Computer and Information
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• v.18 no.9
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• pp.121-129
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• 2013

This paper proposes a linear-time algorithm that has been designed to obtain an accurate solution for Dominating Set (DS) problem, which is known to be NP-complete due to the deficiency of polynomial-time algorithms that successfully derive an accurate solution to it. The proposed algorithm does so by repeatedly assigning vertex v with maximum degree ${\Delta}(G)$among vertices adjacent to the vertex v with minimum degree ${\delta}(G)$ to Minimum Independent DS (MIDS) as its element and removing all the incident edges until no edges remain in the graph. This algorithm finally transforms MIDS into Minimum DS (MDS) and again into Minimum Connected DS (MCDS) so as to obtain the accurate solution to all DS-related problems. When applied to ten different graphs, it has successfully obtained accurate solutions with linear time complexity O(n). It has therefore proven that Dominating Set problem is rather a P-problem.

• Journal of Broadcast Engineering
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• v.7 no.2
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• pp.153-167
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• 2002

With the advent of digital broadcasting, a large number of program channels become available at the user terminals such as set-top-box or PC. Channel navigation and searching become more difficult at TV terminal sides using a conventional device such as a TV remote controller. The MPEG-7 MDS (Multimedia Description Scheme) and TV Anytime set up a standard about how to describe user preferences for genre, channel, actor/actress, keyword, etc. of the TV programs, and how to describe usage history for user's program consumption behaviors and preferences. But they do not describe how to use them. In this paper, we describe an IPG (Intelligent Program Guider) system that provides TV program and channel information based on user preferences and suggest easy access to TV program that user wants. The IPG monitors user's behaviors of interacting to programs and automatically updates the user's preference changes according1y. The IPG utilizes user preferences description scheme specified in both MPEG-7 MDS and TV Anytime metadata specifications.

• Journal of Korea Multimedia Society
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• v.7 no.10
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• pp.1452-1463
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• 2004

The requirement of automatic video summary is increasing as bi-directional broadcasting contents and various user requests and preferences for the bi -directional broadcast environment are increasing. Automatic video summary is needed for an efficient management and usage of many contents in service provider as well. In this paper, we propose a method to generate a content-based summary of linguistic educational videos automatically. First, shot-boundaries and keyframes are generated from linguistic educational video and then multiple(low-level) visual features are extracted. Next, the semantic parts (Explanation part, Dialog part, Text-based part) of the linguistic educational video are generated using extracted visual features. Lastly the XMI- document describing summary information is made based on HieraTchical Summary architecture oi MPEG-7 MDS (Multimedia I)escription Scheme). Experimental results show that our proposed algorithm provides reasonable performance for automatic summary of linguistic educational videos. We verified that the proposed method is useful ior video summary system to provide various services as well as management of educational contents.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.4
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• pp.860-868
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• 2011

Feistel and SPN are the two main structures in a block cipher. Feistel is a symmetric structure which has the same structure in encryption and decryption, but SPN is not a symmetric structure. In this paper, we propose a SPN block cipher so called SSB which has a symmetric structure in encryption and decryption. The proposed SSB is composed of the even numbers of N rounds. Each round consists of a round key addition layer, a subsitution layer, a byte exchange layer and a diffusion layer. The subsitution layer of the odd round is inverse function of one of the even round. And the diffusion layer is a MDS involution matrix. The differential and linear attack probability of SSB is $2^{-306}$ which is same with AES. The proposed symmetric SPN block cipher SSB is believed to construct a safe and efficient cipher in Smart Card and RFID environments which is in limited hardware and software resources.

• Journal of KIISE
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• v.42 no.3
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• pp.413-418
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• 2015

In this paper, we design new video metadata schema for searching video segments to create UEC (User Edited Contents). The proposed video metadata schema employs hierarchically structured units of 'Title-Event-Place(Scene)-Shot', and defines the fields of the semantic information as structured form in each segment unit. Since this video metadata schema is defined by analyzing the structure of existing UECs and by experimenting the tagging and searching the video segment units for creating the UECs, it helps the users to search useful video segments for UEC easily than MPEG-7 MDS (Multimedia Description Scheme) which is a general purpose international standard for video metadata schema.

• Journal of Korean Academy of Nursing Administration
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• v.1 no.1
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• pp.22-34
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• 1995

Health care marketing can be defined as a process of developing, promoting and administering health care services for the benefits of hospitals as well as consumers. Researchers have reported that one of the significant attributes in the selection of hospital is a client's perceived image of the hospitals. Especially the image of nursing services was one of the important factors of the hospital image. The main purposes of the study were 1) to define the positioning about 5 hospitals' image of nursing services. 2) to define the effects of image attributes to the iamage of hospital nursing services. Eighteen hundred questionnaires were distributed to the parents of middle schools and high schools in Seoul. Among them, 1340 cases were returned but 849 cases were turned out to be useful data and used in final analysis. In data analysis, $SPSS\;/PC^+$ and PC-MDS programs were used for descriptive statistics, multiple regression, and drawing perceptual maps. The image of hospital nursing services was measured developed by the author through literature review and content validation. Reliability coefficients was found to be statistically appropriate level of confidence(Cronbach's Alpha=.8617). The results were as follows : 3) The perceptual map shows that hospital A, B and C,D,E were divided into five groups(See Fig. 1). That is, hospital A, and B are located in a close position and hopital C & E are located at opposite position between X-axis, Hospital D was located in the middle area of the hospital C and:E. In conclusion, this research visiblely depicted perceptual maps using MDS of the consumer's image about hospital nursing services. Since hopital nursing services were differentiated by the image attributes in consumer's perception, the results of the study can help hospital managers plan marketing strategy according to their strong points or weak points. Because the necessity of marketing in recent health care was importantly recognized, this research which is adopting posititioning concept will contribute to the consumers and hospital organizations.