• Journal of Intelligence and Information Systems
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• v.8 no.2
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• pp.139-157
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• 2002

The rapid growth of e-commerce has made both companies and customers face a new situation. Whereas companies have become to be harder to survive due to more and more competitions, the opportunity for customers to choose among more and more products has increased. So, the recommender systems that recommend suitable products to the customer have an important position in E-commerce. This research introduces collaborative filtering based recommender system which helps customers find the products they would like to purchase by producing a list of top-N recommended products. The suggested methodology is based on decision tree, product taxonomy, and association rule mining. Decision tree is used to select target customers, who have high possibility of purchasing recommended products. We applied the recommender system to a Korean department store. The methodology is evaluated with the analysis of a real department store case and is compared with other methodologies.

• Journal of Technology Innovation
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• v.26 no.2
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• pp.69-93
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• 2018

As companies seek lower cost and superior quality at the same time, which depend on improvement in product architecture, they need to critically consider product architecture as part of corporate strategy. This research investigated how product architecture and organizational capability affect innovative outcomes with using architecture framework. As a result, we were able to find out Korean shipbuilding company has put much effort on integral works such as development of FGSS(Fuel gas supply system), PRS(Partial Re-liquefaction System) and weight lightening for improving fuel efficiency. And this kind of integral ability was realized by organizational capability of Korean shipbuilding company based on interactive relationship with plant workers. In contrast, Chinese shipbuilding companies focused excessively on the standard design and the convenience of research and development made by central government, overlooking the need for fine-tuning. As a result, the fuel efficiency of Chinese LNG ships turned out to be 7-10% lower than those of South Korea with using the same modules and components.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.7
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• pp.699-708
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• 2017

The service industry, as a new growth engine, has become more important in response to changes in the global economy and the industrial environment. Developed countries have promoted the competitiveness of the service industry and have enhanced economic added value. Developing new services requires extensive resources. Therefore, cooperation and network building capabilities with customers, suppliers, and various knowledge creation agencies are critical sources of competitiveness. This study classified the Korean service industry by industrial type in order to enhance innovation competence.The Korean service industry lags behind that of developed countries, and this study analyzed the differences of innovation results according to collaboration partners by the classified industry. By adopting a method that applies industrial classification by Dialogic's innovation pattern, this study showed external cooperation results were different by industrial type. Analysis results revealed that companies cooperate with customers and competitors in many cases; however, product innovation was higher for companies that collaborated with private service companies. In the 'Innovation in services' industry, industry cooperation with universities showed organizational innovation achievements. In the 'Innovation through services' industry, cooperation with customers positively affected marketing innovation achievements. Consequently, the need to foster consulting firms and universities that can professionally collaborate with companies is implied in order to enhance the Korean service industry.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.22 no.2
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• pp.127-134
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• 2009

In product development, CAD and CAE systems taking part in the design process were individually developed. Furthermore, in product development, different divisions and businesses often have heterogeneous CAD/CAE systems and methods for expressing product data, and addressing this heterogeneity creates additional costs and causes longer development periods. To ensure successful collaboration in the design process, it is therefore imperative that different CAD, CAE, and other related systems be managed in an organic and integrated manner from the initial stages of product development. Therefore, this study suggests an integrated CAD/CAE system including optimization in a more effective and integrated manner but also to support interfacing and the collective use of design and analysis tools. To validate the proposed method, a stiffened plate example is taken as an example. It is found that the proposed method could overcome the bottleneck of CAD and CAE such as transferability of data, though CATIA and ANSYS are used at the moment. Besides, carrying out an optimization process during the CAE process is another essential parts for the structural optimization process.

• The KIPS Transactions:PartD
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• v.13D no.7 s.110
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• pp.1017-1026
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• 2006

Recently, distributed collaborative development environment has been recognized an alternative environment for product development in which multidisciplinary participants are naturally involving. Reuse of Product design information has long been recognized as one of core requirements for efficient product development. This paper addresses an image-based retrieval system to support product design information reuse. In the system, product images obtained from multi-modal devices are utilized to reuse design information. The proposed system conducts the segmentation of a product image by using a labeling method and generates an attributed relational graph (ARG) that represents properties of segmented regions and their relationships. The generated ARG is extended by integrating corresponding part/assembly information. In this manner, the reuse of assembly design information using a product image has been realized. The main advantages of the presented system are following. First, the system is not dependent to specific design tools, because it utilizes multimedia images that can be obtained easily from peripheral devices. Second ratio-based features extracted from images enable image retrievals that contain various sizes of parts. Third, the system has shown outstanding search performance, because we applied various information of segmented part regions and their relationships between parts.

• Journal of the Korean Society of Marine Environment & Safety
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• v.20 no.1
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• pp.113-119
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• 2014

Recently, R.O.K. Navy is increasing re-usability of design data and application of M&S(Modeling and Simulation) through the establishment of collaborative product development environment focused on Naval Ship Product Model(NSPM). As a result, the reliability of the result of design is getting better, and furthermore, a study to improve quality of construction through simulation of production/operation is in progress. Accordingly, the database construction of design data and the DB(Database) quality become important, but there was not research related to those or it was just initial state. This paper conducted research about system of the quality verification process of shape elements which compose NSPM based on the quality verification guideline of NSPM as the result of the precedent study. The hull surface was limited as verification object. The study to verify two things that application of basic drawing by the cad model of hull surface, and whether there is error in the geometric quality of cad model was progressed. To achieve this goal, the verification criteria and algorithm were defined and the prototype system which is based on was developed.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.21 no.6
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• pp.579-587
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• 2008

In collaborative environment, since each agent generally uses different words for the same meaning, there is an obstacle for information sharing. In collaborative product development environment, each agent has different words for representing same product information. As a result, it is hard to share product information in this situation. For solving this problem, semantic-based product information is needed. In this paper, a ontology-based semantic searching system which is able to interact with legacy PDM systems is proposed for product information sharing in collaborative environment Product ontology is represented with OWL format, and the product ontology is processed by Pellet reasoning engine for semantic searching. The system is implemented as a web service which can be integrated with other systems. This paper also introduces the approach with which a PDM system provides a function of semantic search with this search system.

• Information Systems Review
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• v.23 no.4
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• pp.69-86
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• 2021

As artificial intelligence technology advances, personalized recommendation systems using big data have attracted huge attention. In the case of beauty products, product preferences are clearly divided depending on customers' skin types and sensitivity along with individual tastes, so it is necessary to provide customized recommendation services based on accumulated customer data. Therefore, by employing deep learning methods, this study proposes a neural network-based recommendation model utilizing both product search history and context information such as gender, skin types and skin worries of customers. The results show that our model with context information outperforms collaborative filtering-based recommender system models using customer search history.

• Proceedings of the CALSEC Conference
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• 2003.09a
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• pp.54-59
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• 2003

The information sharing is essential to make collaboration by participants in the collaboration environment. The sharing of the information is necessary to reduce time-to-market of new Product. In this paper, V2-model is proposed far supporting the sharing of the information on product development. V2-model supports collaborative product development in design and supply chain. Through viewpoints, V2-model supports 1) two-level structure that consist of private level and public level ,2) level-up process and 3) product development process. The public level information supports to share the product information on collaborative supply chain and design. The viewpoints in V2-model are divided into public viewpoints that point to the public level information and private viewpoints that point to the private level information. Private viewpoints are transformed into public viewpoints. The extended Topic Map has B-Topic, S-Topic and View for representing V2-model in this paper. The level-up process of V2-model is implemented through the merging of S-Topics. V2-model is implemented with washing machine model using extended Topic Maps. In this model, the public viewpoints and private viewpoints are represented and the level-up process, which transforms private viewpoints into public viewpoints, is implemented.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.623-624
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• 2020

끊임없이 발전하는 기술은 4차 산업혁명시대를 열게하는 중심이 되었으며 세상의 모든 것을 변화시켜가고 있다. 최근에는 혁신적이고 고도화된 IT 기술이 완전히 다른 분야와 유기적으로 융합하여 새로운 가치를 만들어 가고 있다. 특히 패션 분야에서는 이와 같은 선도적인 기술을 바탕으로 패션, 그 이상의 기능을 담당하는 '스마트패션'의 시대를 맞이하고 있다. 패션에서의 새로운 산업 분야로 자리매김하고 있는 스마트패션에 대한 사용자의 요구가 증대하고 새로운 제품을 출시하고자 하는 기업의 시도가 계속되고 있으나 학교 현장에서는 이에 대한 적절한 교육과정이 부재한 상태이다. 특히 IT 엔지니어와 패션 디자이너와의 협업의 경험이 전무할뿐만 아니라 제품을 설계하고 제작해 나가는 과정에 대한 개념이 서로 완전히 상이하여 융합의 시도가 단지 시도로 그치고 있는 실정이다. 이에 본 연구에서는 IT와 패션 전공 학생들이 함께 참여할 수 있는 융합 교과 과정을 설계함으로써 미래의 산업사회 요구에 선제적으로 대응하고자 한다. 이를 통해 상이한 전공을 가지고 있는 두 전공 학생들에게 타 전공에 대한 지식을 이해할 수 있는 기회를 제공하는 동시에 융합에 대한 경험을 충분히 제공함으로써 미래 시장으로의 선도 진입과 역할 수행의 적합성을 이루어 낼 수 있도록 한다.