• Proceedings of the KAIS Fall Conference
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• 2006.05a
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• pp.294-297
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• 2006

Measurement of network traffic have shown that the self-similarity is a ubiquitous phenomenon spanning across diverse network environments. In previous work, we have explored the feasibility of exploiting the long-range correlation structure in a self-similar traffic for the congestion control. we show that a multiple time scale TCP endows the underlying feedback control with proactivity by bridging the uncertainty gap associated with reactive controls which is exacerbated by the high delay-bandwidth product in broadband wide area networks. Third, we investigate the influence of the three traffic control dimensions-tracking ability, connection duration, and fairness-on performance.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.11
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• pp.1570-1581
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• 2002

The purpose of this study is to analyze the influence of attributes of salespersons working at apparel store on relationship with consumers, to gather information what kind of attributes of salespersons get preference to consumer, and to conclude a certain relationship in the result coming from both attributes of salespersons and degree of relationship quality. The questionnaire survey was carried out 571 20's & 30's men and women living around Seoul and Kyong-gi province areas during July in 200l. SAS and AMOS program were used to analyze gathered data. The results of this study were as follows. First, in the case of apparel product, construction and long-term maintenance of relationship with consumers were very essential to gain profit in the future. Second, attributes of salespersons seemed to play an important role on constructing and maintaining long-term relationship with consumers. Third, external attributes like outward appearance do not affect to degree of relationship quality with consumer. rather, internal attributes - expertise, similarity, customer orientation, ethics and likeability, influence on the degree of relationship quality.

• Macromolecular Research
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• v.16 no.7
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• pp.651-658
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• 2008

Poly(butylene succiate) (PBS), poly(butylene succinate-co-L-lactate) (PBSL), and poly(butylene succinate-co-6-hydroxycaproate) (PBSCL) polymers were degraded by lipase $PS^{(R)}$, and the enzymatic degradation mechanism of PBS was analyzed in detail. The enzymatic degradation of PBS gave 4-hydroxybutyl succinate (4HBS) as the main product. An exo-type hydrolysis mechanism was proposed based on this observation. The terminal chain of PBS had conformational similarity to ordinary tri- and diglycerides and could be incorporated as a substrate in the active site of this lipase. The surface adsorption of the lipase was much larger on PBS and its copolymer films than on the other polyester films because the lipase adhered quite strongly to the polymer terminal through a specific adsorption mechanism. Kinetic analysis showed that the total number of surface adsorption points per unit area of PBSL and PBSCL copolymers was larger than that of the PBS homopolymer.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.05a
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• pp.305-314
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• 2002

In order to adapt to today's rapidly changing environment and gain a competitive advantage, many companies are interested in CRM(Customer Relationship Management). Especially, the product recommendation system that can be implemented by personalizing the marketing strategy becomes the focus of CRM. In this research, we employed CBR(Case-Based Reasoning) technique that can overcome the limitation of CF(Collaborative Filtering) technique. Our system recommends the books that the customer is very likely to buy next time considering the factors such as 'Personal Features of Customer,' Similarity between Book Categories' and 'Sequence of Book Purchases'. Accuracy of predicting a book-not a particular book, but in the middle level of classification that contains about 190 categories-was about 57%.

• Archives of design research
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• v.17 no.1
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• pp.191-200
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• 2004

After the Industrialism, long-lasting issues about Post-Industrialism have closely been associated with our daily lives. The keyword of Post-Industrialism could be regarded as Immateriality, which is represented by service, Information and knowledge. In the Post-Industrial society, the major role of Post-Industrial design trend is a mediator to deliver the immateriality to users. Additionally, the maturity of technologies and product life cycle have leaded users to the design trend that is free from the technologies and functions of products. In this context, the most powerful trend of the Post-Industrial design could be "metaphor design" and "poetic dimension". The similarity of these two styles is situated in the romanticism -reflection of symbol and metaphor. However, the appearance of Apple's iMac in 1998, poetic dimension, which uses transparent plastic and colourful, pleasurable 'blobjects' has dominated the post-industrial design trend.

• Proceedings of the KAIS Fall Conference
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• 2010.05a
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• pp.138-141
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• 2010

Measurement of network traffic have shown that the self-similarity is a ubiquitous phenomenon spanning across diverse network environments. In previous work, we have explored the feasibility of exploiting the long-range correlation structure in a self-similar traffic for the congestion control. we show that a multiple time scale TCP endows the underlying feedback control with proactivity by bridging the uncertainty gap associated with reactive controls which is exacerbated by the high delay-bandwidth product in broadband wide area networks. Third, we investigate the influence of the three traffic control dimensions-tracking ability, connection duration, and fairness-on performance.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.1713-1715
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• 2007

Measurement of network traffic have shown that the self-similarity is a ubiquitous phenomenon spanning across diverse network environments. In previous work, we have explored the feasibility of exploiting the long-range correlation structure in a self-similar traffic for the congestion control. We have advanced the framework of the multiple time scale congestion control and showed its effectiveness at enhancing performance for the rate-based feedback control. Our contribution is threefold. First, we define a modular extension of the TCP-a function called with a simple interface-that applies to various flavours of the TCP-e.g., Tahoe, Reno, Vegas and show that it significantly improves performance. Second, we show that a multiple time scale TCP endows the underlying feedback control with proactivity by bridging the uncertainty gap associated with reactive controls which is exacerbated by the high delay-bandwidth product in broadband wide area networks. Third, we investigate the influence of the three traffic control dimensions-tracking ability, connection duration, and fairness-on performance.

• Knowledge Management Research
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• v.6 no.2
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• pp.67-90
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• 2005

Attention has been focused recently on the concept of shared cognition which encompasses the notion that effective team members hold knowledge that is overlapping and complementary with teammates. This shared cognition is expected to improve team effectiveness. In contrast to the continued efforts in developing theoretical approach of shared cognition, empirical studies are meager. Thus, we conducted an empirical study to investigate the role of shared cognition on team effectiveness. This study classifies shared cognition into two types, team mental model and transactive memory system, by shared meaning. A total of 121 new product development teams in the IT industry were surveyed for the data collection. The results of analysis can be summarized as follows: first, team mental model has a positive influence on team performance, team innovative behavior and team learning effect. And the relation with team mental model and team performance is moderated by the similarity of knowledge structure among the expert. Second, transactive memory system has a positive influence on team performance, team innovative behavior and team learning effect.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.367-370
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• 2019

본 논문은 구매이력 데이터에서 상품간의 분류 체계를 고려하여 시퀀스 간의 유사도를 계산하는 새로운 방법을 제안한다. 시퀀스란 두 항목간의 순서가 존재하는 데이터를 의미한다. 항목 간의 선후관계가 중요한 시퀀스 데이터에서는 두 시퀀스 간의 유사도를 정확히 정의하는 것이 중요하다. 본 논문에서는 대표적인 시퀀스 유사도 측정 알고리즘인 편집 거리 알고리즘을 활용하여 구매이력 데이터에서 시퀀스 간의 유사도를 정의한다. 상품은 상품의 특성에 따라 항목 분류 체계에서 여러 범주로 분류된다. 이 경우 기존의 편집 거리 알고리즘에서 문자의 일치유무에 따라 단순히 0 또는 1을 부여하는 것은 부정확하다. 따라서 본 논문은 편집 거리 알고리즘의 수정 연산 중 대체 연산 비용 계산 시 항목 분류 트리를 사용하여 연산 비용이 0 에서 1 사이의 값을 가지도록 세분화하였다. 실험 결과 제안 방법은 대체 연산 비용 계산 시 두 문자가 다르면 단순히 1 을 부여하는 기존의 편집 거리 알고리즘에 비해 시퀀스 간의 유사도를 더 정확하게 계산함을 확인하였다.

• Journal of Biomedical Engineering Research
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• v.33 no.1
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• pp.15-24
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• 2012

Classification of human thought is an emerging research field that may allow us to understand human brain functions and further develop advanced brain-computer interface (BCI) systems. In the present study, we introduce a new approach to classify various mental states from noninvasive electrophysiological recordings of human brain activity. We utilized the full spatial and spectral information contained in the electroencephalography (EEG) signals recorded while a subject is performing a specific mental task. For this, the EEG data were converted into a 2D spatiospectral pattern map, of which each element was filled with 1, 0, and -1 reflecting the degrees of event-related synchronization (ERS) and event-related desynchronization (ERD). We evaluated the similarity between a current (input) 2D pattern map and the template pattern maps (database), by taking the inner-product of pattern matrices. Then, the current 2D pattern map was assigned to a class that demonstrated the highest similarity value. For the verification of our approach, eight participants took part in the present study; their EEG data were recorded while they performed four different cognitive imagery tasks. Consistent ERS/ERD patterns were observed more frequently between trials in the same class than those in different classes, indicating that these spatiospectral pattern maps could be used to classify different mental states. The classification accuracy was evaluated for each participant from both the proposed approach and a conventional mental state classification method based on the inter-hemispheric spectral power asymmetry, using the leave-one-out cross-validation (LOOCV). An average accuracy of 68.13% (${\pm}9.64%$) was attained for the proposed method; whereas an average accuracy of 57% (${\pm}5.68%$) was attained for the conventional method (significance was assessed by the one-tail paired $t$-test, $p$ < 0.01), showing that the proposed simple classification approach might be one of the promising methods in discriminating various mental states.