• 한국전자거래학회:학술대회논문집
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• 한국전자거래학회 2004년도 e-Biz World Conference
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• pp.318-326
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• 2004

The ebXML (Electronic Business using eXtensible Markup Language) Specification Schema is to provide nominal set of specification elements necessary to specify a collaboration between business partners based on XML. As a part of ebXML Specification Schema, BPSS (Business Process Specification Schema) has been provided to support the direct specification of the set of elements required to configure a runtime system in order to execute a set of ebXML business transactions. The BPSS is available in two stand-alone representations, a UML version and an XML version. Due to the limitations of UML notations and XML syntax, however, current ebXML BPSS specification is insufficient to specify formal semantic constraints of modeling elements completely. In this study, we propose a classification schema for the BPSS semantic constraints and describe how to represent those semantic constraints formally using OCL (Object Constraint Language). As a way to verify a Business Process Specification (BPS) with the formal semantic constraint modeling, we suggest a rule-based approach to represent the formal constraints and to use the rule-based constraints specification to verify BPSs in a CLIPS prototype implementation.

• Asia pacific journal of information systems
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• 제14권1호
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• pp.79-100
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• 2004

As a part of ebXML(Electronic Business using eXtensible Markup Language) framework, BPSS(Business Process Specification Schema) has been provided to support the direct specification of the set of elements required to configure a runtime system in order to execute a set of ebXML business transactions. The BPS,' is available in two stand-alone representations, a UML version and an XML version. Due to the limitations of UML notations and XML syntax, however, current ebXML BPSS specification fails to specify formal semantic constraints completely. In this study, we propose a constraint classification scheme for the BPSS specification and describe how to formally represent those semantic constraints using OCL(Object Constraint Language). As a way to validate p Business Process Specification(BPS) with the formal semantic constraints, we suggest a rule-based approach to represent the formal constraints and demonstrate its detailed mechanism for applying the rule-based constraints to the BPS with a prototype implementation.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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• pp.376-379
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• 2003

In this paper we describe DCClass, a tool for fuzzy information granulation with transparency constraints. The tool is particularly suited to solve fuzzy classification problems, since it is able to automatically extract information granules with class labels. For transparency pursuits, the resulting information granules are represented in form of fuzzy Cartesian product of one-dimensional fuzzy sets. As a key feature, the proposed tool is capable to self-determining the optimal granularity level of each one-dimensional fuzzy set by exploiting class information. The resulting fun information granules can be directly translated in human-comprehensible fuzzy rules to be used for class inference. The paper reports preliminary experimental results on a medical diagnosis problem that shows the utility of the proposed tool.

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2008년도 정기학술발표대회 논문집
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• pp.252-255
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• 2008

건설공사 관리의 목표는 계획된 품질을 적정 비용과 공기로 완성하기 위한 것이며, 이러한 건설공사의 목표를 실현하기 위해서는 효과적인 공정관리가 필요하다. 그러나 현재의 공정관리 방식은 마일스톤에 의한 결과위주의 관리방식으로 작업간의 상호연관성과 변이발생을 충분히 고려하지 못하는 등 여러 한계점이 있다. 이와 같은 공정관리 방식의 한계점을 극복하기 위해 재고 최소화, 낭비 최소화, 관리 능률 향상, 변이 관리 능력 향상 등의 효과를 나타낼 수 있는 린 건설 도입을 제안하고 있다. 따라서 본 연구에서는 린 건설 관리 기법 중 하나인 라스트 플래너 시스템에 관한 연구를 진행하였으며, 특히 라스트 플래너 시스템에서 핵심 단계인 주단위 예상작업계획에서 이루어지는 작업제반요건 분석에 관한 연구를 진행하였다. 그 결과 공정 계획 수립 시 사전에 건설공사의 저해요소를 제어하여 작업의 신뢰도 향상 및 작업계획 달성률을 높일 수 있는 작업제반요건을 식별 및 분류하여 중요도 분석을 실시하였다.

• 전자공학회논문지B
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• 제29B권7호
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• pp.70-78
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• 1992

In this paper, an approach for 3-D object segmentation and classification, which is based on eigen-values of polynomial function as their surface features, using neural network is proposed. The range images of 3-D objects are classified into surface primitives which are homogeneous in their intrinsic eigenvalue properties. The misclassified regions due to noise effect are merged into correct regions satisfying homogeneous constraints of Hopfield neural network. The proposed method has advantage of processing both segmentation and classification simultaneously.

• Current Optics and Photonics
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• 제5권3호
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• pp.270-277
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• 2021

The adaptive sparse representation (ASR) can effectively combine the structure information of a sample dictionary and the sparsity of coding coefficients. This algorithm can effectively consider the correlation between training samples and convert between sparse representation-based classifier (SRC) and collaborative representation classification (CRC) under different training samples. Unlike SRC and CRC which use fixed norm constraints, ASR can adaptively adjust the constraints based on the correlation between different training samples, seeking a balance between l₁ and l₂ norm, greatly strengthening the robustness and adaptability of the classification algorithm. The correlation coefficients (CC) can better identify the pixels with strong correlation. Therefore, this article proposes a hyperspectral image classification method called correlation coefficients and adaptive sparse representation (CCASR), based on ASR and CC. This method is divided into three steps. In the first step, we determine the pixel to be measured and calculate the CC value between the pixel to be tested and various training samples. Then we represent the pixel using ASR and calculate the reconstruction error corresponding to each category. Finally, the target pixels are classified according to the reconstruction error and the CC value. In this article, a new hyperspectral image classification method is proposed by fusing CC and ASR. The method in this paper is verified through two sets of experimental data. In the hyperspectral image (Indian Pines), the overall accuracy of CCASR has reached 0.9596. In the hyperspectral images taken by HIS-300, the classification results show that the classification accuracy of the proposed method achieves 0.9354, which is better than other commonly used methods.

• Journal of Computing Science and Engineering
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• 제1권2호
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• pp.162-176
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• 2007

Machine Learning (ML) has become very popular within Data Mining (KDD) and Artificial Intelligence (AI) research and their applications. In the ML and KDD contexts, two main approaches can be used for inducing a Bayesian Network (BN) from data, namely, Conditional Independence (CI) and the Heuristic Search (HS). When a BN is induced for classification purposes (Bayesian Classifier - BC), it is possible to impose some specific constraints aiming at increasing the computational efficiency. In this paper a new CI based approach to induce BCs from data is proposed and two algorithms are presented. Such approach is based on the Markov Blanket concept in order to impose some constraints and optimize the traditional PC learning algorithm. Experiments performed with the ALARM, as well as other six UCI and three artificial domains revealed that the proposed approach tends to execute fewer comparison tests than the traditional PC. The experiments also show that the proposed algorithms produce competitive classification rates when compared with both, PC and Naive Bayes.

• 지능정보연구
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• 제7권1호
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• pp.149-159
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• 2001

최근 전자상거래에는 일대일 마케팅이나 협력적 정보여과기법등을 이용한 다양한 추천서비스가 도입되고 있다. 이러한 추천 서비스의 형태는 다양한 제약 조건을 갖고 계산 복잡도가 높은 제품의 경우에는 고객을 만족시킬 만큼 적절한 추천서비스가 이루어지기 어려울 것으로 본다. 본 논문에서는 Clancey의 Classification Problem Solving 방법과 제약조건 기반 Configuration기술을 통합하여, 이러한 문제를 해결할 수 있는 방법을 제시하였다. 이 방법은 Clancey의 이론에 따라 구성 복잡도가 높은 제품의 해집합 도메인을 분할하여 문제의 복잡도를 줄일 수 있도록 하였으며, 여기에서 선택된 도메인을 제약조건 기반 Configuration기술에 적용시킴으로써, 구매자와 제품 컴포넌트 사이에 존재하는 제약조건을 처리할 수 있도록 하였다. 제약조건기반 Configuration기술은 구매자에게 적합한 제품을 구성하기 위해서 제막 조건 판촉 문제(Constraint Satisfaction Problem; CSP)해결 기법을 이용한다. 또한 Clancey이론은 구매자의 만족도를 고려하기 위해서 정보검색 분야의 벡터공간 모델링 방법을 변형하여 적용하였다. 마지막으로 본 모델의 평가를 위해 전체 시스템의 수행시간 및 구매자 만족도를 비교 분석하였다

• 한국양봉학회지
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• 제34권2호
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• pp.169-180
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• 2019

Beekeeping has been practiced for centuries in Ethiopia. Currently, there are three broad classification of honey production systems in Ethiopia; these are traditional (forest and backyard), transitional(intermediate) and modern(frame beehive) systems. Ethiopian honey production is characterized by the widespread use of traditional technology resulting in relatively low honey yield and poor honey quality. Despite the challenges and constraints, Ethiopia has the largest bee population in Africa with over 10 million bee colonies, of which 5 to 7.5million are hived while the remaining exists in the wild. Consequently, these figures, indeed, has put Ethiopia as the leading honey and beeswax producer in Africa. In fact, Ethiopia has even bigger potential than the current honey production due to the availability of plenty apicultural resources such as natural forests with adequate apiculture flora, water resources and a high number of existing bee colonies. However, lack of well-trained man powers, lack of standardization, problems associated with honey bee pests and diseases, high price and limited availability of modern beekeeping equipment's for beekeepers and absconding and migration of bee colonies are some of the major constraints reported for beekeeping in Ethiopia. In this review, an attempt was made to present all beekeeping practices in Ethiopia. The opportunities and major constraints of the sector were also discussed.

• 한국암반공학회:학술대회논문집
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• 한국암반공학회 2004년도 춘계학술발표회 논문집
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• pp.219-229
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• 2004

In this article a comprehensive review of the Rock Mass Rating and Q-rockmass classification systems is made with reference to their scope with in the constraints of underground mining operations. The modifications suggested by KIGAM for both the RMR and Q for the calculation of a safe unsupported span were tested for Daesung and Pyunghae underground limestone mines. Even though the suggested modifications were site specific, the additional parameters considered in the above classification systems are very significant for a design of stable underground openings, considering any general mining conditions.