• Korean Journal of Computational Design and Engineering
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• v.9 no.1
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• pp.62-76
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• 2004

Many customers are no longer satisfied with mass-produced goods. They are demanding customization and rapid delivery of innovative products. Many companies are now realizing that the best way to reduce life cycle costs is to evolve a more effective product development paradigm using Internet and web based technologies. Yet there remains a gap between current market demands and product development paradigms. The existing CAD systems require that product developers possess all the design analysis tools in-house making it impractical to employ all the needed and newest tools. Hence, this paper addresses how assembly operation analysis can be embedded transparently and remotely into a service-oriented collaborative assembly design environment. A new assembly operation analysis framework is introduced and a relevant architecture and tools are developed to realize the framework. Instead of the current sequential process for verifying and validating an assembly design, a new Virtual Assembly Analysis (VAA) method is introduced in the paper to predict the various effects of joining during actual collaborative design. As a case study, arc welding and riveting processes are investigated. New service-oriented VAA architecture and its VAA components are proposed and implemented on prototype mechanical assemblies.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.6 no.5
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• pp.747-754
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• 2002

We propose a Web-based collaborative CAD system which is independent from any platforms, and develop a 3D solid modeler in the system. We developed a new prototype of 3D solid modeler based on the web using Java 3D API, which could be executed without any 3D graphics software and worked collaboratively interacting with each user. The modeler can create primitive objects and get various 3D objects by using loader. The interactive control is available to manipulate-objects such as picking, translating, rotating, zooming. Users connect to this solid modeler and they can create 3D objects and modify them as they want. When this solid modeler is imported to collaborative design system, it will be proved its real worth in today's CAD system. Moreover, if we improve this solid modeler adding to the 3D graphic features such as rendering and animation, it will be able to support more detail design and effect view.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.4
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• pp.841-848
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• 2010

A tiled display can present a high resolution image or real-sized 3D objects. It can be used fot effective collaboration by allowing multiple users to allocate their own spaces, which are used privately or shared with others. In this research, a collaborative viewer system, which allows manipulating 3D models, images and movie clips, was constructed on a distributed platform. This allows multiple users to manipulate different contents separately with various input devices. This paper describes an architecture and a prototype system built with the viewer.

• Journal of Internet Computing and Services
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• v.14 no.5
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• pp.59-67
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• 2013

In this paper, we propose the LAR_CF, latent attribute rating-based collaborative filtering, that is robust to data sparsity problem which is one of traditional problems caused of decreasing rating prediction accuracy. As compared with that existing collaborative filtering method uses a preference rating rated by users as feature vector to calculate similarity between objects, the proposed method improves data sparsity problem using unique attributes of two target objects with existing explicit preference. We consider MovieLens 100k dataset and its item attributes to evaluate the LAR_CF. As a result of artificial data sparsity and full-rating experiments, we confirmed that rating prediction accuracy can be improved rating prediction accuracy in data sparsity condition by the LAR_CF.

• Journal of KIISE:Software and Applications
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• v.29 no.9
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• pp.669-675
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• 2002

In recent years most of personalized recommender systems in electronic commerce utilize collaborative filtering algorithm in order to recommend more appropriate items. User-based collaborative filtering is based on the ratings of other users who have similar preferences to a user in order to predict the rating of an item that the user hasn't seen yet. This nay decrease the accuracy of prediction because the similarity between two users is computed with respect to the two users and only when an item has been rated by the users. In item-based collaborative filtering, the preference of an item is predicted based on the similarity between the item and each of other items that have rated by users. This method, however, uses the ratings of users who are not the neighbors of a user for computing the similarity between a pair of items. Hence item-based collaborative filtering may degrade the accuracy of a recommender system. In this paper, we present a new approach that a user's neighborhood is used when we compute the similarity between the items in traditional item-based collaborative filtering in order to compensate the weak points of the current item-based collaborative filtering and to improve the prediction accuracy. We empirically evaluate the accuracy of our approach to compare with several different collaborative filtering approaches using the EachMovie collaborative filtering data set. The experimental results show that our approach provides better quality in prediction and recommendation list than other collaborative filtering approaches.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.28 no.2
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• pp.139-145
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• 2005

As today's business environment becomes more globalized and distributed, the importance of collaboration is rapidly increasing. This Paper Presents a systematic approach to collaboration strategy planning. The framework suggests that a Collaborative Process Map needs to be identified first. Then, Collaboration Maturity of an enterprise is evaluated. Based on the Collaborative Process Map and Collaboration Maturity Evaluation, Collaboration Execution Plans are systematically established. A case study shows that the proposed framework can successfully be applied to the strategic collaboration planning of semiconductor industry

• Korean Journal of Computational Design and Engineering
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• v.5 no.1
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• pp.79-87
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• 2000

This paper presents an integrated but open product development environment for distributed and collaborative design. The web-based framework, called DOME, allows designers to build integrated models using both local and distributed resources, and to collaborate by exchanging services in a network-centric product development environment. Thus, an integrated model can be created while each participant focuses on his or her own area of expertise. A design problem model is created by connecting modules, which represent specific system components, analysis capabilities/software, disciplines, or organizations relevant to the problem. The modules interact with each other using service exchanges based upon the CORBA standard communication protocol. The goal of this framework is tall provide the ability to rapidly construct integrated design problem models to facilitate collaborative design work, improve product quality and reduce development time. Ultimately, it should allow specialized engineering applications and design problem models to operate under a common design environment.

• Proceedings of the Korean Society of Computer Information Conference
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• 2015.07a
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• pp.25-28
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• 2015

본 논문에서는 현재 서비스 중인 O2O시스템의 문제점인 '비콘 공해'를 해결하기 위해, 협업적 필터링 및 1축 위치 기반 기술을 이용하여 사용자가 원하는 정보만을 수신 받을 수 있는 BLE 비콘 기반의 협업적 필터링을 이용한 O2O정보 서비스 시스템을 제안하고자 한다. 본 시스템은 사용자가 자신이 원하는 정보만을 제공받을 수 있기에 사용자의 '비콘 공해'를 해결하여 줄 수 있다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2011.06a
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• pp.171-172
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• 2011

협업적 여과 시스템은 사용자에 대한 클러스터링을 구축한 후, 구축된 클러스터를 기반으로 사용자에게 영화를 추천한다. 하지만 사용자 클러스터링 구축에 많은 시간이 소요되고, 사용자가 평가한 영화가 피드백이 되었을 경우 재구축이 쉽지 않다. 본 논문에서는 사용자 클러스터링의 재구축을 용이하게 하기 위해 빈발패턴 네트워크를 이용하여 클러스터링을 구축하고, 이를 협업적 여과 시스템에 적용하여 영화를 추천한다. 구축된 클러스터를 통해 사용자 클러스터를 재구축시 소요되는 시간 비용을 줄이면서, 전통적인 협업적 여과 시스템과 유사한 성능의 추천이 가능하게 되었다.

• Journal of Communications and Networks
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• v.16 no.6
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• pp.620-626
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• 2014

In this paper, we propose a parallel collaborative sphere decoder with a scalable architecture promising quasi-maximum likelyhood performance with a relatively small amount of computational resources. This design offers a hardware-friendly algorithm using a modified node operation through fixing the variable complexity of the critical path caused by the sequential nature of the conventional sphere decoder (SD). It also reduces the computational complexity compared to the fixed-complexity sphere decoder (FSD) algorithm by tree pruning using collaboratively operated node operators. A Monte Carlo simulation shows that our proposed design can be implemented using only half the parallel operators compared to the approach using an ideal fully parallel scheme such as FSD, with only about a 7% increase of the normalized decoding time for MIMO dimensions of $16{\times}16$ with 16-QAM modulation.