• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2010년도 추계학술발표대회
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• pp.519-522
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• 2010

유비쿼터스 환경에서 서비스를 개발하는데 협업모델이 중요한 주제로 연구되어 왔다. 본 연구에서는 이를 위한 방법으로 커뮤니티 컴퓨팅 모델을 MDA(Model Driven Architecture)에 기반하여 개발하고 있다. MDA에 기반한 커뮤니티 컴퓨팅 모델을 PICM(Platform Independent Community Model)에서 PSCM(Platform Specific Community Model)을 거쳐 최종 프로그램으로 개발된다. 본 논문에서는 PICM에서 PSCM으로 변환되는 방법을 규칙에 기반하여 제안하고 이를 구현한다.

• Journal of Information Processing Systems
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• 제7권4호
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• pp.635-652
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• 2011

In ubiquitous environments, many applications need to process data with time and space dimensions. Because of this, there is growing attention not only on gathering spatiotemporal data in ubiquitous environments, but also on processing such data in databases. In order to obtain the full benefits from spatiotemporal data, we need a data model that naturally expresses the properties of spatiotemporal data. In this paper, we introduce three spatiotemporal data models extended from temporal data models. The main goal of this paper is to determine which data model is less complex in the spatiotemporal context. To this end, we compare their query languages in the complexity aspect because the complexity of a query language is tightly coupled with its underlying data model. Throughout our investigations, we show that it is important to intertwine space and time dimensions and keep one-to-one correspondence between an object in the real world and a tuple in a database in order to naturally express queries in ubiquitous applications.

• Journal of Information Processing Systems
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• 제15권3호
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• pp.655-669
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• 2019

Supplier evaluation is of great significance in green supply chain management. Influenced by factors such as economic globalization, sustainable development, a holistic index framework is difficult to establish in green supply chain. Furthermore, the initial index values of candidate suppliers are often characterized by uncertainty and incompleteness and the index weight is variable. To solve these problems, an index framework is established after comprehensive consideration of the major factors. Then an adaptive weight D-S theory model is put forward, and a fuzzy-rough-sets-AHP method is proposed to solve the adaptive weight in the index framework. The case study and the comparison with TOPSIS show that the adaptive weight D-S theory model in this paper is feasible and effective.

• 정보기술과데이타베이스저널
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• 제3권2호
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• pp.97-118
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• 1996

Information systems quality engineering is one of the most problematic areas in practice and research, and needs cooperative efforts between practice and theory [Glass, 1996]. A model for evaluating the quality of system development process and ensuing success is proposed based on information processing theory of project unit design. A nomological net among a set of quality variables is identified from prior research in the areas of organization science, software engineering, and management information systems. More specifically, system development success was modelled as a function of project complexity, system development modelling environment, user participation, project unit structure, resource availability, and the level of iterative nature of development methodology. Based on the model developed from the information processing theory of project unit design in organization science. appropriate quality metrics for each variable in the proposed model are matched. In this way, a framework of relevant systems development and success quality metrics for controlling systems development processes and ensuing success is proposed. The causal relationships among the constructs in the proposed model are proposed as future empirical research for academicians and as managerial tools for quality managers. The framework and propositions help quality manager to select more parsimonious quality metrics for controlling information systems development processes and project success in an integrated way. Also this model can be utilized for evaluating software quality assurance programmes, which are developed and marketed by many vendors.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2011년도 춘계학술발표대회
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• pp.1327-1328
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• 2011

소프트웨어 개발 프로세스인 V-model 은 미국이나 유럽과 같이 소프트웨어 개발 프로세스의 역할이 잘 정립되어 있는 곳에서는 적용이 쉬우나 우리나라의 개발 실정에는 맞지 않는 경향이 있다. 이 논문에서는 한국의 현실을 반영하여 기존 model 인 V-model 대신 한국실정을 반영하는 W-model을 제시하려고 한다.

• Journal of Information Processing Systems
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• 제10권2호
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• pp.240-255
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• 2014

Cloud computing has increasingly been drawing attention these days. Each big company in IT hurries to get a chunk of meat that promises to be a whopping market in the future. At the same time, information is always associated with security and risk problems. Nowadays, the handling of these risks is no longer just a technology problem, with a good deal of literature focusing on risk or security management and framework in the information system. In this paper, we find the specific business meaning of the BMIS model and try to apply and leverage this model to cloud risk. Through a previous study, we select and determine the causal risk factors in cloud service, which are also known as CSFs (Critical Success Factors) in information management. Subsequently, we distribute all selected CSFs into the BMIS model by mapping with ten principles in cloud risk. Finally, by using the leverage points, we try to leverage the model factors and aim to make a resource-optimized, dynamic, general risk control business model for cloud service providers.

• 한국정보과학회논문지:소프트웨어및응용
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• 제30권7_8호
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• pp.752-763
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• 2003

고속 전철 도입이나 대우 자동차 매각 같은 대규모의 B2B 거래에는 엄청나게 다양한 변수와 혼돈 요소가 직접 흑은 간접적으로 작용한다 소위 복잡계로 묘사되는 이런 유형의 도메인에 대하여 효율적인 정보처리가 가능하기 위해서는 인간의 묵시적 정보 처리 능력과 에이전트의 명시적 정보 처리 능력이 효율적으로 결합될 수 있어야 한다. 본 논문에서는, 이 두 가지 이질적 능력의 결합을 가능케 하는 결합 모델을 제안하였으며, 제안된 모델이 대표적 복잡계의 하나인 B2B 협상에서 어떻게 사용될 수 있는지를 보였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권5호
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• pp.1413-1432
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• 2023

Recommender systems aim to recommend items to users by taking into account their probable interests. This study focuses on creating a model that utilizes multiple sources of information about users and items by employing a multimodality approach. The study addresses the task of how to gather information from different sources (modalities) and transform them into a uniform format, resulting in a multi-modal feature description for users and items. This work also aims to transform and represent the features extracted from different modalities so that the information is in a compatible format for integration and contains important, useful information for the prediction model. To achieve this goal, we propose a novel multi-modal recommendation model, which involves extracting latent features of users and items from a utility matrix using matrix factorization techniques. Various transformation techniques are utilized to extract features from other sources of information such as user reviews, item descriptions, and item categories. We also proposed the use of Principal Component Analysis (PCA) and Feature Selection techniques to reduce the data dimension and extract important features as well as remove noisy features to increase the accuracy of the model. We conducted several different experimental models based on different subsets of modalities on the MovieLens and Amazon sub-category datasets. According to the experimental results, the proposed model significantly enhances the accuracy of recommendations when compared to SVD, which is acknowledged as one of the most effective models for recommender systems. Specifically, the proposed model reduces the RMSE by a range of 4.8% to 21.43% and increases the Precision by a range of 2.07% to 26.49% for the Amazon datasets. Similarly, for the MovieLens dataset, the proposed model reduces the RMSE by 45.61% and increases the Precision by 14.06%. Additionally, the experimental results on both datasets demonstrate that combining information from multiple modalities in the proposed model leads to superior outcomes compared to relying on a single type of information.

• 한국컴퓨터정보학회논문지
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• 제10권5호
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• pp.95-102
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• 2005

본 논문에서는 MLP신경망의 패턴 학습과정을 위하여 시공간 병렬성을 고려한 병렬처리모델을 제시한다. 시간 병렬성을 위한 학습집합 분할과 공간 병렬성을 위한 네트워크 분할을 동시 적용하여 융통성있는 병렬처리모델을 설계하고자 하였다. 성능평가모델로부터 해석적으로 구한 결과, 대규모 과제라고 해도 패턴 크기와 패턴 갯수 중 어느 쪽이 지배적이냐에 따라 분할병렬처리 방법이 절충되어야 할 것으로 본다.

• 전자공학회논문지T
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• 제36T권2호
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• pp.42-47
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• 1999

본 논문은 시각정보를 공장자동화에 적용하기 위한 모델을 제안하였다. 제안된 모델에서 클라이언트-서버 모델과 RPC(Remote Procedure Calling)를 이용하여 시각정보를 획득하는 시스템, 공장자동화 전체를 총괄하는 메인서버, 그리고 시각정보만을 처리하는 처리서버로 분산처리 한다. 그 유효성을 지폐인식시스템으로 구현하였다.