• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2003.11a
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• pp.91-97
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• 2003

본 연구는 온라인 게임공간에서 게이머들이 어떻게 서로 다른 가치관과 행동 패턴을 드러내는지를 확인하고 이를 통해 온라인 게임세계의 문화를 이해하고 분석하기 위해 실시되었다. 전 세계에서 가장 많은 게이머들이 활동하고 있고, 한국과 일본에서 동시에 서비스되고 있는 온라인 게임인 〈리니지〉의 게이머들을 대상으로 온라인 설문조사를 실시하여 '라이프 스타일' 분석틀을 이용해서 이들이 게임공간에서 보이는 행동을 분류하였다. 글 결과 한국과 일본의 리니지 사용자들에게서 거의 유사한 세 가지 라이프스타일 패턴이 추출되었으며 한국과 일본에서 라이프스타일에 따른 행동 패턴이 일관적으로 나타나고 있음을 확인하였다. 도한 한국과 일본의 문화적 차이는 각 라이프스타일 프로파일의 극단성과 분포비율에 의해 반영되는 것으로 확인되었다. 일본의 탈사회적 게이머는 한국의 그것에 비해 더 극단적인 반면 전체 응답자 중에서 차지하는 비율이 적었고 게임 세계에서의 사회 경제적 위치도 낮았으며 한국에서는 비교적 적은 비율을 차지하던 싱글 플레이어 유형이 일본에서는 가장 많은 비중을 차지하는 것으로 나타났다. 또한 일본의 게이머들은 라이프스타일에 상관없이 대부분이 게임 공동체에 가입하는 반면 한국의 게이머들은 라이프스타일에 따라 공동체 참여율이 달랐지만 전체적인 참여율은 일본에 비해 높았다. 이러한 차이는 일본 게임세계에서 공동체 참여는 기본적인 의무인 반면 한국에서는 현실적인 이익과 직결된 활동임을 시사한다. 또한 게임몰입수준은 한국보다 일본의 리니지 게이머들이 높았다. 아시아 각 국에 한국에서 개발한 동일한 온라인 게임이 확산되어 있는 현황을 고려할 때, 온라인 게이머의 라이프스타일 척도는 한국과 일본뿐만 아니라 대만과 중국, 홍콩, 그리고 미국과 같은 리니지 게임이 서비스되는 모든 국가의 문화적 차이를 이해하고 과학적으로 분석할 수 있는 방법이 될 수 있을 것으로 기대된다. 의미를 되새기는 것으로 짧은 연구를 시작하겠다. 등은 활성 값이 70% 이상으로 퇴적물 독성이 상대적으로 낮았다. 이중나선 DNA 함량은 28.4 % - 49%로 대조군에 비해서 감소가 크다. 대부분의 정점이 대조군의 30% 내외로 정점 간의 차이는 크지는 않다. 그러나 다른 측정자료와 같이 정점 22에서 18%로 최소치를 나타내고, 정점 2, 12에서 20% 내외의 값을 보인다. 종합적으로 볼 때 오염물질의 유입이 크고, 광양제철 인근 정점 들이 모두 다른 정점에 비해서 낮아서, 퇴적물 독성이 높은 정점으로 조사되었다.hiwo의 광합성 능력은 낮은 농도들에서는 대조구와 유사하였으나, 5 $\mu\textrm{g}$/l의 높은 농도에서는 초기에 매우 낮은 광합성 능력을 보이다가 시간이 경과하면서 대조군보다 더 높은 경향을 나타냈다. 이러한 결과는 식물플랑크톤이 benso[a]pyrene의 낮은 농도에서 노출될 때는 이 물질을 탄소원으로 사용할 가능성이 있음을 시사한다. 본 연구의 결과들은 연안해역에 benso[a]pyrene과 같은 지속성 유기오염물질이 유입되었을 때 내정여부에 따라 식물플랑크톤 군집내 종 천이와 일차생산력에 크게 영향을 미칠 수 있음을 시사한다.TEX>5.2개)였으며, 등급별 회수율은 각각 GI(8.5%), GII(13.4%), GIII(43.9%), GIV(34.2%)로 나타났다.ments of that period left both in Japan and Korea. "Hyojedo" in Korea is supposed to have been influenced by the letter design. Asite- is also considered to have been "Japanese Letter Jobcheso." Therefore, the purpose of this study is to look into

• The Journal of the Korea Contents Association
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• v.12 no.4
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• pp.40-51
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• 2012

Online discussion bulletin in Korea is not only a specific place where user exchange opinions but also a public sphere through which users discuss and form public opinion. Sometimes, there is a heated debate on a topic and any article becomes a political or sociological issue. In this paper, we propose how to analyze the popularity of articles by collecting the information of articles obtained from two well-known discussion forums such as AGORA and SEOPRISE. And we propose a prediction model for the article popularity by applying the characteristics of subject articles. Our experiment shown that the popularity of 87.52% articles have been saturated within a day after the submission in AGORA, but the popularity of 39% articles is growing after 4 days passed in SEOPRISE. And we observed that there is a low correlation between the period of popularity and the hit count. The steady increase of the hit count of an article does not necessarily imply the final hit count of the article at the saturation point is so high. In this paper, we newly propose a new prediction model called 'baseline'. We evaluated the predictability for popular articles using three models (SVM, similar matching and baseline). Through the results of performance evaluation, we observed that SVM model is the best in F-measure and precision, but baseline is the best in running time.

• Journal of the Korean Society for information Management
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• v.25 no.1
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• pp.5-17
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• 2008

The purpose of this paper is to identify the usefulness of Weblog genre analysis in knowledge creation within an organization where communications are occurred frequently among the employees with information and communication technologies (ICTs). Knowledge creation is essential to achieve competitive advantage in today's knowledge-oriented working environments. There has been huge investment on knowledge management systems to achieve such advantages. It is, however, widely recognized that distributed knowledge management systems often fail due to the different social contexts across the sub-organizations where the local information systems are deployed. It is important to coordinate such social gaps across the sub-organizations to achieve better advantages. Given that Weblogs users often feel a shared social norm. Weblogs playa positive role of narrowing the social gaps. This paper argues that the genre analysis of Web logs could provide important clues to narrow the social gaps existed across the sub-organizations within an organization. Hence, such taxonomical practice may be a solution for the high rate of failure in knowledge management system implementations in an organization. This paper uses the theory of organizational knowledge creation (Nonaka & Takeuchi. 1995) and social construction of technology (SCOT) approach (Bijker, 1995) to compare the socialized with the non-socialized integration of distributed information systems. The findings of this research provide a useful framework for better implementing knowledge management practices especially in distributed working environments.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1995.09a
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• pp.171-183
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• 1995

이 논문은 특정 기기산업의 기술적 구조와 현황의 분석 및 파악을 위한 제 품.기술 관련도라는 새로운 개념을 제시한다. 제품.기술 관련도란 분석대상산 업의 주요 제품들을 도출하고 각각의 제품에 관련된 기술들을 부품기술을 중심으로 파악하여 매트릭스의 형태로 도시한 것을 의미한다. 제품. 기술 관 련도상의 제품에 대해서는 전문가의 의견에 의해 측정된 기술수준과 주된 획득방법(국산화율)을 파악한다. 한편, 제품에 관련되는 기술은 기본적인 기능을 발휘하는 제품의 생산에 소요되는 기본기술과 제품의 성능향상을 위하여 필요한 성능관련기술 등으로 구분하여 분석된다. 이러한 제품.기술 관련도는 국내 기기산업의 각 분야별 기술수준, 부품군의 기술수준 등을 도출하고 상호관련성을 파악하는데 유용한 방법으로 활용될수 있다. 특히 제품군과 부품군간의 관계 도출, 기술수준 혹은 구산화율이 낮은 제품에 관련된 부품 및 기술의 파악, 국내의 기술수준이 낮은 부품에 관련되는 제품 및 제품군, 제품의 성능이 향상에 관련된 기술등의 파악이 용이하다. 본 논문에서는 제품.기술 관련도를 한국의 정보통신기기산업에 시험적으로 적용하여 정보통신 기기분야의 제품 및 기술 구조, 그리고 경쟁력을 분석하여 보았다. 국내 정보통신기기산업의 전체적인 기술수준은 자체적으로 기술을 보유하고 있으나 성능면에서 매우 미약한 소화 및 모방 단계의 수준이라고 해석할수 있다. 한편 부품기술은 아직도 소화및 모방단계에 머무르고 있으며, 개별소자와 수동부품의 기술수준이 매우 낮게 나타났다. 분야별로 볼 때 무선통신기기, 방송기기, 정보기기의 순으로 기술수준이 낮으며, 무선통신기기분야이 발전을 위해서는 고주파 부품의 기술 발전이 선행되어야 할것으로 보인다.라 제시된 외주위탁 전략과 현재의 외주위 탁 전략이 일치할 때 정보 시스템에 대한 사용자 만족도가 보다 높은 것으 로 나타났다. 할 수 있는 효율적인 distributed system를 개발하는 것을 제시하였다. 본 논문은 데이타베이스론의 입장에서 아직 정립되어 있지 않은 분산 환경하에서의 관계형 데이타베이스의 데이타관리의 분류체계를 나름대로 정립하였다는데 그 의의가 있다. 또한 이것의 응용은 현재 분산데이타베이스 구축에 있어 나타나는 기술적인 문제점들을 어느정도 보완할 수 있다는 점에서 그 중요성이 있다.ence of a small(IxEpc),hot(Tex> SOK) core which contains two tempegatlue peaks at -15" east and north of MDS. The column density of HCaN is (1-3):n1014cm-2. Column density at distant position from MD5 is larger than that in the (:entral region. We have deduced that this hot-core has a mass of 10sR1 which i:s about an order of magnitude larger those obtained by previous studies.previous studies.업순서들의 상관관계를 고려하여 보다 개선된 해를 구하기 위한 연구가 요구된다. 또한, 준비작업비용을 발생시키는 작업장의 작업순서결정에 대해서도 연구를 행하여, 보완작업비용과 준비비용을 고려한 GMMAL 작업순서문제를 해결하기 위한 연구가 수행되어야 할 것이다.로 이루어 져야 할 것이다.태를 보다 효율

• Journal of KIISE:Databases
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• v.30 no.1
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• pp.64-79
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• 2003

In client-server computing environments, update transactions of spatial data have the following characteristics. First, a transaction to update maps needs interactive work, and therefore it nay take a long time to finish. Second, a long transaction should be allowed to read the dirty data to enhance parallelism of executing concurrent transactions. when %he transaction is rolled back, it should guarantee the cascading rollback of all of the dependent transactions. Finally, two spatial objects may have a weak dependency constraint, called the spatial relationship, based on geometric topology. The existing recovery approaches cannot be directly applied to this environment, due to the high rollback cost and the overhead of cascading rollbacks. Furthermore, the previous approaches cannot guarantee the data integrity because the spatial relationship, which is a new consistency constraint of spatial data, is not considered. This paper presents new recovery schemes for update transactions of spatial data. To guarantee the data integrity, this paper defines recovery dependency as a rendition of cascading rollbacks. The partial-rollback is alto suggested to solve the problem of high rollback cost. The recovery schemes proposed in this paper can remove the unnecessary cascading rollbacks by using undo-delta, partial -redo and partial-undo. Finally, the schemes are performed to ensure the correctness.

• The KIPS Transactions:PartD
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• v.12D no.3 s.99
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• pp.461-470
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• 2005

This paper suggests a new policy for consolidating a company's profits by segregating the clients using the contents service and allocating the media server's resources distinctively by clusters using the cluster analysis method of CRM, which is mainly applied to marketing. In this case, CRM refers to the strategy of consolidating a company's profits by efficiently managing the clients, providing them with a more effective, personalized service, and managing the resources more effectively. For the realization of a new service policy, this paper analyzes the level of contribution $vis-\acute{a}-vis$ the clients' service pattern (total number of visits to the homepage, service type, service usage period, total payment, average service period, service charge per homepage visit) and profits through the cluster analysis of clients' data applying the K-Means Method. Clients were grouped into 4 clusters according to the contribution level in terms of profits. Likewise, the CRFA (Client Request Filtering algorithm) was suggested per cluster to allocate media server resources. CRFA issues approval within the resource limit of the cluster where the client belongs. In addition, to evaluate the efficiency of CRFA within the Client/Server environment the acceptance rate per class was determined, and an evaluation experiment on network traffic was conducted before and after applying CRFA. The results of the experiments showed that the application of CRFA led to the decrease in network expenses and growth of the acceptance rate of clients belonging to the cluster as well as the significant increase in the profits of the company.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.3
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• pp.178-188
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• 2009

A blog is a personal website where its owner publishes his/her articles for others. A blog can have relationships with other blogs. In this paper, we define a network that is composed of blogs connected together with such relationships as a blog network. Blog networks can have two different propensities characterized by the articles published in the blogs: information-valued propensity and friendship-valued propensity. The degree of each propensity of a blog network plays an important role in deciding business policies for blog networks. In this paper, we address the problem of determining the degrees of two propensities of a given blog network. First, we determine the degree of the propensity of every relationship, a basic unit of a blog network, by using classification that is one of data mining functionalities. Then, by utilizing the result thus obtained, we compute the degrees of two propensities of the whole blog network. Also, we propose a method to solve the problem that the degree of propensities depends on the size of blog networks. To verify the superiority of the proposed approach, we perform extensive experiments using a huge volume of real-world blog data. The results show that our approach provides high accuracy of around 93% in determining the degrees of both propensities of relationships between arbitrary two blogs. We also verify the applicability of the proposed approach by showing that if determines the degrees of the information-valued and friendship-valued propensities correctly in real-world blog networks.

• Journal of Internet Computing and Services
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• v.18 no.4
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• pp.121-131
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• 2017

With emergence of Internet, social media, and mobile service, the consumers have actively presented their opinions and sentiment, and then it is spreading out real time as well. The user-generated text data on the Internet and social media is not only the communication text among the users but also the valuable resource to be analyzed for knowing the users' intent and sentiment. In special, economic participants have strongly asked that the social big data and its' analytics supports to recognize and forecast the economic trend in future. In this regard, the governments and the businesses are trying to apply the social big data into making the social and economic solutions. Therefore, this study aims to reveal the capability of social big data analysis for the economic use. The research proposed a social big data analysis model and an online consumer sentiment index. To test the model and index, the researchers developed an economic survey ontology, defined a sentiment dictionary for sentiment analysis, conducted classification and sentiment analysis, and calculated the online consumer sentiment index. In addition, the online consumer sentiment index was compared and validated with the composite consumer survey index of the Bank of Korea.

• 한국HCI학회:학술대회논문집
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• 2008.02b
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• pp.558-564
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• 2008

The study aims to examine the UCC (User Created Contents) Copyright which use the broadcasting contents. UCC are classified by UGC(User Generated Contents), UMC(User Modified Contents), and URC(User Recreated Contents). Especially UMC and URC correspond to a problem of copyright. Following the Copyright Protection Center investigation in 2006, it reported that 83.7% UCC are infringement of copyright. In spite of remarkable the UCC copyright problem, the concrete resolution does not exist. Also it is difficult to apply the offline legal conformity because of online nature of the UCC. The study observes the UCC copyright dispute instances which use the broadcasting contents and investigates a resolution of the UCC copyright. Considering the online media nature, it tries to analyse CCL(Creative Common License) as the ODR(online Dispute Resolution). It is meaningful to search the possibility of UCC copyright problem through the online technical embodiment.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.41 no.1
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• pp.1-12
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• 2004

In this paper, we take advantage of the characteristics of optical burst switching (OBS) to support service-differentiation in optical networks. With the offset time between control packet and burst data, the proposed scheme uses different offset time of each service class. As contrasted with the Previous method, in which the high Priority service use only long offset time, it derives the burst loss rate as a QoS parameter in consideration of conservation law and given service-differential ratios and decides a reasonable offset time for this QoS finally Firstly proposed method classifies services into one of high or low class and is an algorithm deciding the offset time for supporting the required QoS of high class. In order to consider the multi-classes environment, we expand the analysis method of first algorithm and propose the second algorithm. It divides services into one of high or low group according to their burst loss rate and decides the offset time for high group, and lastly cumulates the offset time of each class. The proposed algorithms are evaluated through simulation. The result of simulation is compared with that of analysis to verify the proposed scheme.