• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.466-468
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• 2004

W3C의 OWL-S는 기존의 웹 서비스와 시멘틱 웹 기술의 결함을 통한 웹서비스의 자동화된 검색, 조합 등을 지원하기 위한 모델이다. 원하는 특히, 웹서비스 조합은 사용자의 다양한 요구를 지원하기 위해서 매우 중요하며, 웹 서비스 조합을 하나의 처리 단위로 하기 위한 트랜잭션 개념의 도입이 필수적이다. 이를 위해서는 OWL-S웹서비스의 검색시 서비스의 IOPE(Input/Output/Precondition/Effect)와 메시지의 시멘틱 고려뿐만 아니라 트랜잭션에 영향을 미치는 웹 서비스의 응답시간, 수행비용, 신뢰성 등 웹서비스의 품질과 실제 웹 서비스의 연동의 단위가 되는 연산들에 대한 고려가 필요하나, OWL-S에서는 이러한 부분의 정의가 부족하다. 따라서, 이 연구에서는 자동화된 웹 서비스 조합을 위해서 OWL-S을 확장한 새로운 모델을 제안한다. 이 모델은 웹서비스의 성능을 응답속도, 비용, 신뢰도등율 이용해서 웹서비스간의 유사도를 측정할 수 있으며, 실제 연산들에 대한 시멘틱 표현을 가능하게 함으로써 보다 정확한 웹 서비스의 조합을 가능하게 한다.

• The Korean Journal of Franchise Management
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• v.3 no.2
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• pp.1-19
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• 2012

This study intends to suggest the cooperative, win-win collaboration, as methods for settling disputes with the existing self-employed people over back-street business areas and disputes and conflicts between a franchiser and franchisees. In addition, it intends to analyze the Dunkin' Donuts purchasing cooperative in the US, where the franchising industry has been well developed; and to find the implications of cooperation strategies between Dunkin' Donuts and its franchisees that may be helpful for the South Korea's franchising industry. This study tries to discover a new model of the Korean-style franchise cooperative out of the basic principles and practice guidelines of cooperatives ranging from an early American franchise cooperative in 1955 to ARCOP, KFC, and Dunkin' Doughnuts in the late 1970s. Further, it looks into successful programs of a purchasing cooperative at Dunkin' Donuts such as TDP (Total Distribution Program), SFP (Shortening Futures Program) and DCP (Distribution Commitment Program). The case of the US Dunkin' Donuts, which operates the purchasing cooperative, suggests the following for the improvement of franchisees' profitability. First, relations of cooperation rather than of power are necessary between a franchiser and franchisees. Second, mutual solidarity of franchisees is necessary. Third, problems proper to the Korean franchise system should be improved. Fourth, an entrepreneurial spirit of going together rather than going fast is required. Fifth, complete satisfaction management is required. Considering different system environments between the two countries such as quantitative expansion within a short franchising history of 30 years or so and franchise profit models, there is a limit to generalizing down to a successful model of the win-win partnership cooperative. It is hoped that the sustainable management of the domestic franchising industry will be promoted in the future through the in-depth analysis of successful cooperatives.

• The Microorganisms and Industry
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• v.19 no.4
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• pp.49-54
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• 1993

이제까지 숙주세포로 이용하기 위한 효모균주이 개발은 제빵효모인 Saccharomyces cerevisiae를 주대상으로 수행되어 왔다. 그러나 최근에는 Hansenula속, Pichia속, Kluyveromyces속, Schizosaccharomyces속, Schwanniomyces속 및 Yarrowia속 등 특이한 성질을 갖는 희귀효모 균주를 숙주세포로 한 새로운 유전자 발현시스템의 개발이 활발히 추진되고 있다. 본고에서는 S. cerevisiae를 위시하여 이들 희귀효모로부터 생산되고 있는 재조합 단백질의 연구현황과 문제점 및 재조합 단백질의 효율적인 생산을 위해 고려해야 할 요인들에 대해 고찰해 보기로 한다.

• Journal of The Korean Society of Grassland and Forage Science
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• v.18 no.4
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• pp.355-360
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• 1998

This study was conducted to investigate the effects of mixture of different maturity groups on dry matter yield and nutritive value of oat(var. Foothill and Swan) and rape(var. Akela, Ramon and Ember) in the Fall at the Experimental field of Woosuk University, Wanju, in 1998. The results obtained are summarized as follows : 1. Plant height of Foothill was very slightly higher than that of Swan in oat, but there was no significant difference. Also, although there was no significant difference, there was high in plant height of Ember and Akela with Foothill, and Ramon with Swan. 2. Dry matter(DM) yield of Swan was very slightly higher than that of Foothill in oat, but there was no significant difference. Although there was no significant difference, dry matter yield of Akela was the highest in both oats. 3. Acid detergent fiber and neutral detergent fiber content of Swan were very slightly higher than that of Foothill in oat. And it was slightly higher in Akela or Ramon with Foothill, and it was greatly higher in Ember with Swan. 4. In vitro dry matter digestibility(IVDMD) content of Foothill was very slightly higher than that of Swan in oat. And it was slightly higher in Ember with Foothill, and it was slightly higher in Akela with Swan. Also, in vitro digestible dry matter(IVDDM) of Foothill was very slightly higher than that of Swan in oat. And it was slightly higher in Akela with Foothill and Swan. 5. Crude protein(CP) content and crude protein(CP) yield of Foothill were very slightly higher than that of Swan in oat. And it was slightly higher in Akela with Foothill and Swan. The results demonstrated that although there was not significant difference, the mixture of var, Foothill of oat and var, Akela of rape in the Fall was very good for nutritive value and DM yield.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.12
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• pp.928-932
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• 2009

Most diseases are caused by complex processes of various factors. Although previous researches have tried to identify the causes of the disease, there are still lots of limitations to clarify the complex factors. Here, we present a disease classification model based on an evolutionary learning approach of combinatorial features using the data sets from the genetics and cohort studies. We implemented a system for finding the combinatorial risk factors and visualizing the results. Our results show that the proposed method not only improves classification accuracy but also identifies biologically meaningful sets of risk factors.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.9 no.2
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• pp.37-48
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• 1991

In this study, conventional network adjustment and combined network adjustment methods for single network adjustment methods for single network and centric combination network were compared by the analysis of root mean square error and standard error ellipse of observed points. It can be concluded from this study that for conventional surveying methods, the accuracy is in theorder of trilateration, traverse and triangulation, and for the case of combined surveying method, the accuracy is in the order of multilateration surveying, combined traverse and combined triangulation-trilateration surveying. And when establishing new control points, the accuracy can be improved by increasing redundant observations of centric combination network instead of using the single network. Also, in case of combined traverse surveying by adding observable laterals, accuracy level of trilateration could be achieved, and it was found that traverse is effective for large areas where sighting is easy, and combined traverse surveying is effective for urban areas where sighting is difficult.

• 한국IT서비스학회:학술대회논문집
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• 2003.11a
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• pp.70-77
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• 2003

본 연구는 아웃소싱 상황에서 정보시스템 개발프로젝트의 관리에 대한 이해를 목적으로, 시스템개발 프로젝트에 대한 관리를 통제(control) 또는 조정(coordination)의 관점에서 보는 기존의 연구 흐름과 같은 선상에서, IS 아웃소싱 프로젝트 관리의 문제를 조직간 통제관점에서 살펴보고자 한다. 본 연구에서는 다음의 두 가지 측면에서, 기존 연구의 확장을 시도하였다. 첫번째, 조직내부의 시스템 개발프로젝트 관리의 연구결과를 아웃소싱 상황으로 확장하여 적용하였다. 두번째, 기존 연구들이 개별 통제유형에 주목하였으나, 현실적으로는 다양한 통제유형이 동시에 존재하기 때문에, 조합적 측면에 초점을 맞추어 확장하였다. 이를 위하여 공식적 통제와 비공식적 통제를 두 가지 기준을 사용하여, 네 가지의 통제조합에 대한 이론적 유형(typology) - 역동적, 계약중심, 파트너쉽중심, 수동적 유형 - 제시하여, 35개 기업의 66개 프로젝트를 통하여 실증적으로 검증하였다. 연구결과는 파트너쉽중심 유형을 제외하고는 이론적 유형과 유사한 네 가지의 통제조합에 대한 실증적 유형(taxonomy) - 역동적, 계약중심, 중간형, 수동적 유형-이 도출되었다. 각 실증적 유형간의 차이는 역동적 유형과 계약중심 유형이 높은 것으로 나타났으며, 중간형 유형과 수동적 유형의 성과가 상대적으로 낮은 것으로 나타났다.

• The Journal of the Korea Contents Association
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• v.20 no.12
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• pp.49-57
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• 2020

This study predicts the ratio of added value, which represents the competitiveness of export industries in South Korea, using various machine learning techniques. To enhance the accuracy and stability of prediction, forecast combination technique was applied to predicted values of machine learning techniques. In particular, this study improved the efficiency of the prediction process by selecting key variables out of many variables using recursive feature elimination method and applying them to machine learning techniques. As a result, it was found that the predicted value by the forecast combination method was closer to the actual value than the predicted values of the machine learning techniques. In addition, the forecast combination method showed stable prediction results unlike volatile predicted values by machine learning techniques.

• Journal of Information Management
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• v.18 no.4
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• pp.98-117
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• 1985

At the present time, the role and importance of information retrieval has greatly increased for two main reasons: the coverage of the searchable collections is now extensive and collection size may exceed several million documents; further more, the search results can now be obtained more or less instantaneously using online procedures and computer terminal devices that provide interaction and communication between system and users. The large collection size make it plausible to the users that relevant information will in fact be retrieved as a result of a search operation, and the probability of obtaining the search output without delay creates a substantial user demand for the retrieval services.

• Korean Journal of Remote Sensing
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• v.23 no.6
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• pp.521-528
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• 2007

The overall objective of this research was to investigate various combination of segmentation parameters and to improve classification accuracy of object-oriented classification. This research presents a method for evaluation of segmentation parameters by calculating Moran's I and Intrasegment Variance. This research used Landsat-7/ETM image of $11{\times}14$ Km developed area in Ansung, Korea. Segmented images are generated by 75 combinations of parameter. Selecting 7 combinations of high, middle and low grade expected classification accuracy was based on calculated Moran's I and Intrasegment Variance. Selected segmentation images are classified 4 classes and analyzed classification accuracy according to method of objected-oriented classification. The research result proved that classification accuracy is related to segmentation parameters. The case of high grade of expected classification accuracy showed more than 85% overall accuracy. On the other hand, low ado showed around 50% overall accuracy.