• Proceedings of the Korean Information Science Society Conference
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• 2007.06c
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• pp.153-158
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• 2007

사용자들의 특성에 맞게 개인화되고 세분화된 위치 기반 서비스를 제공하기 위해서는 방대한 이동 객체의 위치 이력 데이터 집합으로부터 유용한 패턴을 추출하여 의미 있는 지식을 탐사하기 위한 시공간 패턴 탐사가 필요하다. 현재까지 다양한 패턴 탐사 기법들이 제안되었으나 이동 패턴들 중 단순히 시공간 제약이 없는 빈발 패턴만을 추출하기 때문에 한정된 시간 범위와 제한적인 영역 범위 내에서의 빈발 패턴을 탐사하는 문제에는 적용하기 어렵다. 또한 패턴 탐사 수행 시 데이터베이스를 반복 스캔하여 탐사 수행시간이 많이 소요되는 문제를 포함하거나 메모리상에 탐사 대상인 후보 패턴 트리를 생성하는 방법을 통해 탐사 시간을 줄일 수는 있으나 이동 객체 수나 최소지지도 등에 따라 트리를 구성하고 유지하는데 드는 비용이 커질 수 있다. 따라서 이러한 문제를 해결하기 위한 효율적인 패턴 탐사 기법의 개발이 요구됨으로써 선행 작업으로 본 논문에서는 상세 수준의 객체 이력 데이터들의 시간 및 공간 속성을 의미 있는 시간영역과 공간영역 정보로 변환하는 시공간 데이터 일반화 방법을 제안한다. 제안된 방법은 공간 개념 계층에 대한 영역 정보들을 영역 Grid 해쉬 테이블(AGHT:Area Grid Hash Table)로 생성하여 공간 인덱스트리인 R*-Tree의 검색 방법을 이용해 이동 객체의 위치 속성을 2차원 공간영역으로 일반화하고, 시간 개념 계층을 생성하여 이동 객체의 시간적인 속성을 시간 영역으로 일반화함으로써 일반화된 데이터 집합을 형성하여 효율적인 이동 객체의 시간 패턴 마이닝을 유도할 수 있다.의 성능을 기대할 수 있을 것이다.onium sulfate첨가배지(添加培地)에서 가장 저조(低調)하였다. vitamin중(中)에서는 niacin과 thiamine첨가배지(添加培地)에서 근소(僅少)한 증가(增加)를 나타내었다.소시켜 항이뇨 및 Na 배설 감소를 초래하는 작용과, 둘째는 신경 경로를 통하지 않고, 아마도 humoral factor를 통하여 신세뇨관에서 Na 재흡수를 억제하는 작용이 복합적으로 나타내는 것을 알 수 있었다.으로 초래되는 복합적인 기전으로 추정되었다., 소형과와 기형과는 S-3에서 많이 나왔다. 이상 연구결과에서 입도분포가 1.2-5mm인 것이 바람직한 것으로 나타났다.omopolysaccharides로 확인되었다. EPS 생성량이 가장 좋은 Leu. kimchii GJ2의 평균 분자량은 360,606 Da이었으며, 나머지 두 균주에 대해서는 생성 EPS 형태와 점도의 차이로 미루어 보아 생성 EPS의 분자구조와 분자량이 서로 다른 것으로 판단하였다.TEX>개로 통계학적으로 유의한 차이가 없었다. Heat shock protein-70 (HSP70)과 neuronal nitric oxide synthase (nNOS)에 대한 면역조직화학검사에서 실험군 Cs2군의 신경세포가 대조군 12군에 비해 HSP70과 nNOS의 과발현을 보였으며, 이는 통계학적으로 유의한 차이를 보였다(p<0.05). nNOS와 HSP70의 발현은 강한 연관성을 보였고(상관계수 0.91, p=0.000), nNOS를 발현하는 세포가 동시에 HSP70도 발현함을 확인할 수 있었다. 결론: 우리는

• Science of Emotion and Sensibility
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• v.12 no.4
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• pp.433-442
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• 2009

People are tending to buy products through the Internet rather than purchasing them from the store. Some of the consumers give their feedback on line such as reviews, replies, comments, and blogs after they purchased the products. People are also likely to get some information through the Internet. Therefore, companies and public institutes have been facing this situation where they need to collect and analyze reviews or public opinions for them because many consumers are interested in other's opinions when they are about to make a purchase. However, most of the people's reviews on web site are too numerous, short and redundant. Under these circumstances, the emotion scanning system of text documents on the web is rising to the surface. Extracting writer's opinions or subjective ideas from text exists labeled words like GI(General Inquirer) and LKB(Lexical Knowledge base of near synonym difference) in English, however Korean language is not provided yet. In this paper, we labeled positive, negative, and neutral attribute at 4 POS(part of speech) which are noun, adjective, verb, and adverb in Korean dictionary. We extract construction patterns of emotional words and relationships among words in sentences from a large training set, and learned them. Based on this knowledge, comments and reviews regarding products are classified into two classes polarities with positive and negative using SO-PMI, which found the optimal condition from a combination of 4 POS. Lastly, in the design of the system, a flexible user interface is designed to add or edit the emotional words, the construction patterns related to emotions, and relationships among the words.

• Journal of the military operations research society of Korea
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• v.32 no.2
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• pp.131-142
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• 2006

Nowadays, most enterprises have introduced both EA methodology to optimize an entire enterprise and CBD methodology to improve a software reusability. The Korea Government not only have developed many EA guiding products such as EA framework, Reference Model, Guideline, etc. but also have instituted a law to optimize a government-wide enterprise. The Minister of National Defense(MND) have developed the MND-AF as a standard methodology for EA and the ADDMe as a standard methodology for CBD. But it is possible to develop products of WD-AF and ADDMe redundantly because the process of MND-AF and ADDMe is not quitely aligned. The purpose of this paper is to present a scheme that ADDMe can reuse the artifacts of MND-AF by analyzing the relationships between two processes. In order to identify the relationships between two processes, we first identify the relation of a 'definition' part of two processes and then identify the relation of an 'attribute' part based on the relation of a 'detailed definition' part. As a result we found that 113 attributes of MND-AF are related to 49 attributes of ADDMe. Therefore the proposed study will decrease the development cost and time and will be a good example for aligning the process of EA and CBD methodology.

• Korean journal of communication and information
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• v.31
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• pp.51-84
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• 2005

The purpose of this paper is to investigate characteristics of active information and opinion giver in the interactive-public communication space of internet. More specifically, this study explores that the active information and opinion giver have the same traits with opinion leader, which are personal attributes (topic involvement and individuation), social activity, source of information and influentials, and socio-demographic attributes. The research consisted of a questionnaire, which was administered using e-mail, and 175 replies were returned. The results show that higher activity of sending information and opinion is associated with characteristics of opinion leader. First, It was found that higher activity group in sending information and opinion have higher degree of topic involvement and individuation than lower group. Second, the former is more active behavior than the latter in social activity. Third, it was examined that behaviors of sending and giving information and opinion with interpersonal communication channel was connected with those of the interactive-public communication space in internet. Also, the result of analysis with mass communication channel was found the distinction in three different kinds of magazines which is related with specific media. Finally, characteristics of socio-demography were not different between two group, with the exception of gender.

• Journal of Digital Contents Society
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• v.16 no.2
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• pp.283-290
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• 2015

This study focused on SNS use of Chinese students who are studying in Korea. Communication media like SNS is strongly related with socialization of foreigners. Thus, it is expected to verify relationship between current SNS use tendency of Chinese students and their settlement in Korea based on analysis on the factor influencing SNS use of Chines students. For the study on the factor influencing to SNS use of Chinese students in Korea TAM model was used as a research frame. Based on TAM theory technological attribute, individual attribute and social attribute were taken out as independent variables. Perceived ease of use and perceived usefulness are applied as mediator variables. In research conclusion, some hypotheses are adopted the same as existing theory, but some hypotheses for example service quality and individual attribute are rejected as variables which influence positively to mediator variable perceived easy of use. For the next research more various variables and nationwide sampling will be needed. Based on this research it is expected to be analysed correlation between foreigners settlement in Korea and communication media like SNS.

• Journal of Korea Game Society
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• v.14 no.4
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• pp.27-36
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• 2014

Accurate information on players, namely player analytics is one of the key factors in a game development environment where a scientific approach to user-oriented game analysis is in the spotlight. This study is intended to examine effects of relations between choke point types and cover pattern properties on level difficulties in FPS games. As for FPS games, interaction between players' behaviors and game levels is higher compared to other genres and choke point types as well as cover pattern properties are key factors of level design. Choke point is the main crossroad that must to pass for achieving the goal and Cover Pattern is the type of object on the level except buildings. Two elements directly or indirectly affect the level of difficulty. This study analyzed 10 types of representative FPS gameplays to classify choke point types and assigned 4 types of cover pattern properties to organize 16 target levels for the experiment. In addition, this study collected and analyzed players' 800 behavior data (video clips) from 5 repetitive plays performed by 10 players. In conclusion, analytical results obtained from the empirical study will contribute to realizing systematic game level development by providing specific information for a game level design phase. The findings are also meaningful in that they suggest efficient and effective methods of utilizing the existing academic study results for industrial applications.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2003.11a
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• pp.101-114
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• 2003

홈 유비퀴터스 네트워크란 PC, 휴대 전화, 디지털TV, 냉장고, 에어컨, 개인 휴대 정보 단말기(PDA), 게임기 등 가정 내의 정보기기들 사이에 통합된 네트워크를 형성해 데이터를 공유할 수 있는 환경을 구성한 것이다. 홈 네트워크 서비스를 가능케 한 요인은 기술적 측면에서 가전기기의 디지털화 및 초고속망의 보급, 수요측면에서 가전기기를 통한 다양한 서비스를 이용하고자 하는 소비자의 요구, 공급측면으로 포화된 정보통신기기 시장에서 새로운 수요창출이 필요한 환경 등으로 요약될 수 있다. 이와 같이 현재 정보통신산업은 지금까지 구축된 정보통신 인프라를 바탕으로 새롭게 등장한 홈 네트워크 서비스 분야에 주목하고 있다. 홈 네트워크는 정보통신기술을 가전기기에 융합시킴으로써 새로운 서비스를 창출한다는 점에서 정보통신산업은 물론, 기존의 백색가전 산업까지 포괄하여 관련 산업의 전후방 효과가 매우 크다. 본 연구에서는 홈 네트워크 서비스에 관련한 핵심 속성을 분석하고, 핵심 속성에 대한 소비자의 선호를 분석하는 실증연구를 수행하였다. 현재 홈 네트워크 시장이 본격적으로 형성되지 않아 현시선호(revealed preference) 자료의 구득이 불가능하므로, 소비자에게 향후 제공될 수 있는 서비스 특성을 지닌 가상적인 제품 조합을 제시하고, 이에 대해 소비자가 실제 시장에서와 같은 구매행위를 가정하도록 한 후, 각 제품 조합에 대한 선호 순위를 매기게 함으로써 소비자의 진술선호(stated preference)를 측정하는 컨조인트(conjoint) 방법론을 사용하였다. 이러한 분석을 통해서 홈 네트워크 서비스의 각 속성에 대한 소비자의 선호구조를 파악하고 지불의 사액(Willingness To Pay, WTP)을 분석하도록 한다. 본 연구의 결과를 이용하여 향후 전개될 홈 네트워크 서비스 및 관련시장의 발전 방향을 전망해 보고 이에 따른 기업이나 정부차원의 대응전략을 파악하고자 한다.육구에서는 큰 변화를 나타내고 있지 않았다(p<0.05). 운동과 비운동시킨 참돔의 지질 함량의 변화는 운동시킨 참돔은 운동으로 인한 에너지 소비로 인하여 함량이 유의적으로 감소했으며(r=-0.35), 비운동사육구에서는 절식으로 인하여 지질함량이 감소하였다(r=-0.38). 파괴강도와 가장 밀접한 영향을 가지는 콜라겐은 운동과 비운동 모두 사육기간동안 큰 변화는 보이지 않았다. 초기의 파괴강도값은 1.45±0.02kg(운동사육구), 1.36±0.18kg(비운동사육구)이였으며 사육기간동안 운동사육구는 파괴강도값이 증가한 반면, 비운동수조에서는 참돔의 파괴강도는 사육기간동안 큰 유의차가 없었다. 각 성분간의 상관도를 살펴보면, 수분함량과 파괴강도는 상관성을 가졌으며, 지질함량과 파괴강도도 같은 경향은 나타내었다. 운동기간동안의 파괴강도와 콜라겐 사이에는 상관성의 거의 없었다. 이는 운동기간에 따른 파괴강도의 증가가 콜라겐의 함량의 증가보다는 지질함량의 감소와 수분함량의 증가와 같은 성분과의 상관성이 크다고 판단된다. 다음으로는, 운동횟수에 의한 영향으로써 운동시간을 1일 6시간으로 설정하여, 운동횟수를 결정하기 위하여 오전, 오후에 각 3시간씩 운동시키는 방법과 오전부터 6시간동안 운동시키는 두 방법을 이용하여 품질을 비교하였다. 각 조건에 따라 운동시킨 참돔의 수분함량을 나타낸 것으로, 2회(오전 3시간, 오후 3시간)에 나누어서 운동시키기 위한 육의 수분함량은 73.37±2.02%를 나타냈으며, 1회(6시간 운동)운동시키기 위한 육은 71.74±1.66%을 나타내었다. 각각의 운동조건에서 양식된 참돔은 사육초기에는 큰 변화가 없었으나, 사육 5일 이후에는 수분함량이 증가하여 15일에는 76.40±0.14, 75.62±0.98%의 수분함량을 2회와 1회 운동시킨 참돔의 육에서 각각 나타났다. 운동횟수에 따른 지질함량은 2회 운동시킨 참돔은 5.83±2.08, 1회 운동시킨 참돔은 6.72

• The Journal of Small Business Innovation
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• v.20 no.2
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• pp.17-34
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• 2017

This study examines the role of family involvement and national culture in entrepreneurs' choice of mode of entry into entrepreneurship. Mode of entry consists of two choices: starting a new venture or taking over an existing firm. Specifically, we investigate how cultural values moderate the relationship between family involvement and their choice of business takeover. Using a cross-national sample of 3,831 respondents from 33 countries in Flash Eurobarometer data, we develop key variables and test our hypotheses employing hierarchical linear modelling. Our results show that the relationship between family involvement of entrepreneurs and their choice of business takeover is moderated by individualism, short term orientation, and power distance. This research contributes to understanding comparative international entrepreneurship based on national culture. Implications for policy makers and educators are discussed.

• Culinary science and hospitality research
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• v.17 no.2
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• pp.140-152
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• 2011

The purposes of this study are to analyze the gap between foodservice personnel and customers, to urge foodservice providers to reconsider by identifying the problems in service delivery for customer satisfaction, and to deduce the recognition for foodservice quality improvement. The results of this study can be summarized as follows: the average perception score of personnel(3.78 out of 5) was higher than that of customers(3.79). In particular, the customers' perception of 16 attributes, which included 'overall lighting in the restaurant', 'creativity of the food', 'freshness of the ingredients' and so on, was significantly lower than personnel's. Both service providers and customers perceived that 'meal quality' was the highest and 'table setting' was the lowest among the 4 factors, but there was significant difference on 'interior space(p<.001)', 'meal quality (p<.01)', 'convenience(p<.01)' between the two groups. As a results of the quadrant analysis, 'Q3. dishes and bowls', 'Q6. cleanliness of the tables', 'Q12. display of the food', 'Q17. comfort of the interior space', 'Q18, room temperature', 'Q23. overall lighting in the restaurant', 'Q30. arrangement of the furniture and accessaries' were categorized into Quadrant A, all of which showed dissatisfaction of the customers due to the personnel's lower perception. Therefore, service providers have to perceive the gap between the two viewpoints and grant priority to these attributes to improve foodservice quality.

• Journal of the Korea Society of Computer and Information
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• v.17 no.6
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• pp.163-172
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• 2012

Collaborative filtering which is used explicit method in a existing recommedation system, can not only reflect exact attributes of item but also still has the problem of sparsity and scalability, though it has been practically used to improve these defects. This paper proposes the personalized recommendation system using RFM method and k-means clustering in u-commerce which is required by real time accessablity and agility. In this paper, using a implicit method which is is not used complicated query processing of the request and the response for rating, it is necessary for us to keep the analysis of RFM method and k-means clustering to be able to reflect attributes of the item in order to find the items with high purchasablity. The proposed makes the task of clustering to apply the variable of featured vector for the customer's information and calculating of the preference by each item category based on purchase history data, is able to recommend the items with efficiency. To estimate the performance, the proposed system is compared with existing system. As a result, it can be improved and evaluated according to the criteria of logicality through the experiment with dataset, collected in a cosmetic internet shopping mall.