• Korean Journal of Computational Design and Engineering
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• v.5 no.3
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• pp.232-241
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• 2000

Even though we have greater chances to accomplish successful collaborative design by utilizing recent proliferation of networks, current practices do not fully take advantage of the information infrastructure. There are so much data over the networks, but not enough knowledge about the data is available to users. The main objectives of the product data interface system proposed in this paper are to capture more knowledge on managing product data and to provide users effective search capability. We define the metadata model for product data defined in STEP AP 203 and manage the metadata from product data in a repository system. Because we utilize the standard formats such as STEP for product data and RDF for metadata, the proposed approach can be applied to various fields of industries independently on commercial products.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.31B no.7
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• pp.119-128
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• 1994

In this paper, we propose a method for facial feature extraction and recognition algorithm using neural networks. First we extract a face part from the background image based on the knowledge that it is located in the center of an input image and that the background is homogeneous. Then using vertical and horizontal projections. We extract features from the separated face image using knowledge base of human faces. In the recognition step we use the back propagation algorithm of the neural networks and in the learning step to reduce the computation time we vary learning and momentum rates. Our technique recognizes 6 women and 14 men correctly.

• Knowledge Management Research
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• v.6 no.2
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• pp.149-168
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• 2005

Owing to the limits of IT System-driven knowledge management(KM) for innovation processes, alternative KM methods has been suggested such as: (1) the knowledge network of experts or (2) communities-of-practice. This study analyzes two cases in terms of on-line expert knowledge networks for problem-solving, with the dimensions of analysis based on a theoretical framework. By analyzing the cases of S company's expert network and Naver's Ji-sik-iN, we found that system quality(e.g., ease of use, accessibility, and searching function), information/knowledge quality(e.g., usefulness, accuracy, and timeliness), knowledge-sharing culture, social capital and relevant reward systems are important for stimulating a Q&A-based problem-solving knowledge network. Implications of the findings and future research directions are discussed.

• Journal of Digital Convergence
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• v.16 no.2
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• pp.93-102
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• 2018

This study suggests external knowledge search as a way of creating knowledge and efforts for reaching out to the innovation and examines the relationship between innovation speed and the breadth and depth of external knowledge search. As a part of efforts to overcome the limitations of the routines of external knowledge search in the domestic market, the efforts of a firm to enter the foreign market have been examined with a moderate effect. Although previous research focused on exploration of external knowledge that is mostly effected in single country or similar industry, this study expands it by introducing the concept of market expansion and empirically inspect the interaction effect. 818 valid samples used in this study are based on the innovation survey published by STEPI and empirical results are as follows. First, the breadth and depth of external knowledge search have a positive impact on innovation speed. Second, export performance as the effect of expanding the market has a moderating effect on the speed of innovation. Third, younger companies prefer various networks while older companies prefer depth networks in order to increase the speed.

• Journal of the Economic Geographical Society of Korea
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• v.9 no.1
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• pp.97-122
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• 2006

The purpose of this paper is to analyze production and innovation networks of services in the long-live area of Gangwon and Jeju Provinces and to suggest a policy direction for regional development of rural areas where have been neglected in the knowledge-based information society. Four counties in the Honam Region, the long-live belt of Korea and two cities (Jeonju, Gwangju) are surveyed for the purpose of comparison with the Gangwon and Jeju areas. Production and innovation networks of research and supporting activities and tourist services are analyzed based on intensive interview surveys of the regions. The result of the analysis suggests that the innovation networks among the economic actors have considerable impacts on the innovation processes of the service activities and the service functions in the rural area are somewhat developed with local industry after the practice of local autonomy. The processes of innovation networks are progressed differently by the hierarchy of the regions as well as by the function of services such as research and supporting activities and tourist services. The direction of the rural development in the knowledge-based information society seems to be intensifying the networks among the innovative actors and developing virtual innovation networks for the development of rural innovation systems.

• ETRI Journal
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• v.34 no.4
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• pp.591-601
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• 2012

Unstructured peer-to-peer (p2p) networks usually employ flooding search algorithms to locate resources. However, these algorithms often require a large storage overhead or generate massive network traffic. To address this issue, previous researchers explored the possibility of building efficient p2p networks by clustering peers into communities based on their social relationships, creating social-like p2p networks. This study proposes a social relationship p2p network that uses a measure based on Hebbian theory to create a social relation weight. The contribution of the study is twofold. First, using the social relation weight, the query peer stores and searches for the appropriate response peers in social-like p2p networks. Second, this study designs a novel knowledge index mechanism that dynamically adapts social relationship p2p networks. The results show that the proposed social relationship p2p network improves search performance significantly, compared with existing approaches.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.6
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• pp.153-158
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• 2016

Broadcasting in multi-hop wireless sensor networks is a basic operation that supports many applications such as route search, setting up addresses and sending messages from the sink to sensor nodes. The broadcasting using flooding causes problems that can be mentioned as a broadcasting storm such as redundancy, contention and collision. A variety of broadcasting schemes using wireless sensor networks have been proposed to achieve superior performance rather than simple flooding scheme. Broadcasting algorithms in wireless sensor networks can be classified into six subcategories: flooding scheme, probabilistic scheme, counter-based scheme, distance-based scheme, location-based schemes, and neighbor knowledge-based scheme. This study analyzes a simple flooding scheme, probabilistic scheme, counter-based scheme, distance-based scheme, and neighbor knowledge-based scheme, and compares the performance and efficiency of each scheme through network simulation.

• Food Science of Animal Resources
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• v.33 no.4
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• pp.463-473
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• 2013

Through the development of efficient data collecting technologies like RFID, and inter-enterprise collaboration platforms such as web services, companies which participate in supply chains can acquire visibility over the whole supply chain, and can make decisions to optimize the overall supply chain networks and processes, based on the extracted knowledge from historical data collected by the visibility system. Although not currently active, the MeatWatch system has been developed, and is used in part for this purpose, in the imported beef distribution network in Korea. However, the imported beef distribution network is too complicated to analyze its various aspects using ordinary process analysis approaches. In this paper, we suggest a novel approach, called RFID-based supply chain process mining, to automatically discover and analyze the overall supply chain processes from the distributed RFID event data, without any prior knowledge. The proposed approach was implemented and validated, by using a case study of the imported beef distribution network in Korea. Specifically we demonstrated that the proposed approach can be successfully applied to discover supply chain networks from the distributed event data, to simplify the supply chain networks, and to analyze anomaly of the distribution networks. Such novel process mining functionalities can reinforce the capability of traceability services like MeatWatch in the future.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.06a
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• pp.707-712
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• 1998

This paper presents several softcomputing techniques such as neural networks, fuzzy logic and genetic algorithms : Neural networks as brain metaphor provide fundamental structure, fuzzy logic gives a possibility to utilize top-down knowledge from designer, and genetic algorithms as evolution metaphor determine several system parameters with the process of bottom up development. With these techniques, we develop a pattern recognizer which consists of multiple neural networks aggregated by fuzzy integral in which genetic algorithms determine the fuzzy density values. The experimental results with the problem of recognizing totally unconstrained handwritten numeral show that the performance of the proposed method is superior to that of conventional methods.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.05a
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• pp.1535-1537
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• 2007

A design pattern is a general solution to a commonly occurring problem. Design patterns have proven highly effective in representing, transferring, and applying the design knowledge in many engineering disciplines. However, these patterns have not addressed sensor network specifically. With a growth of sensors and sensor networks, and considering their profound applicability, there is a crucial need to articulate ones experience of application development or deployment of sensor nodes in the form of design patterns to avoid the future mistakes. This paper discusses the same issue and show applicability of design patterns in sensor networks.