• Journal of Information Technology Services
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• v.10 no.3
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• pp.1-19
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• 2011

The purpose of this study lies in enhancing an understanding of on-line collaboration among manufacturing companies for innovation. To meet this purpose, this study adopts Eisenhart(1989)'s case study approach to explore the success factors of on-line collaboration among Korean small-medium-sized manufacturing companies. Firstly, an exhaustive case study is conducted for four collaboration hubs in the Korean injection mold industry. This study identify the success factors through a structured questionnaire survey and in-depth interviews based on experts of K Institute, which performs the overall management of the collaboration hubs, and personnel of the participating businesses and vendors. Secondly, AHP analysis is conducted to identify the priorities among the success factors. Finally, several propositions of on-lin collaboration are derived.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2002.06a
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• pp.139-152
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• 2002

Gene-shaving(Hastie et al, 2000) is a very useful method to identify a meaningful group of genes when the variation of expression is large. By shaving off the low-correlated genes with the leading principal component, the primary genes with the coherent expression pattern can be identified. Gene-shaving method works well If expression levels are varied enough, but it may not catch the meaningful cluster in low expression level or different expression time even with coherent patterns. The sliding window gene-shaving method which is to apply gene-shaving in each sliding window after hierarchical clustering is to compensate losing a meaningful set of genes whose variation is not large but distinct. The performance to identify expression patterns is compared for the simulated profile data by the different variance and expression level.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2005.05a
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• pp.254-257
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• 2005

Locations and emission characteristics of noise source of rapier loom are important factors greatly. So, noise characteristics of rapier loom were investigated by the noise source identification as a part of experimental methods in this study. To identify the noise sources of the rapier loom sound intensity was measured under machine operation. In addition, frequency spectra of the sound at operator position was measured along with sound intensity to help identify the noise characteristics of the rapier loom. The results indicate that the sound power level occurs along the rapier loom.

• The Journal of Korean Physical Therapy
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• v.13 no.2
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• pp.305-312
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• 2001

The purpose of this study were to identify the characteristics of incontinence in adult women and to identify it's relating factors, physiology, evaluation and treatment related urinary incontinence. Urinary incontinence is a common health problem for adult women. And the symptoms of urinary incontinence are causes of discomfort, shame, loss of self-confidence and result in sufferers to withdraw from social life. But many do not report this problem until they have had the symptoms for a long time. So physical therapy protocol for assessment, treatments, educational programs should be implemented in primary care setting. In conclusion, this study revealed that self·care agency may be a important that it would be necessary to promote quality of life in urinary incontinence women.

• Journal of the Korean Society for Precision Engineering
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• v.12 no.9
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• pp.22-29
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• 1995

An experimental method to identify the rigid properties (mass, moment of inertia, center of mass) of mounted structures is presented. A direct system identification method is developed and applied to identify the mass, damping and stiffness martix directly from the translational response of vibration testing. Conventional method is sensitive to noise since it needs artificial rotational response of temporary center of mass which is made by the linear transformation of translational response. A presented method needs only the translational response, and it is robuster to noise than conventional method. Several experimental and numerical implementations show the presented method is effective.

• Journal of the Korean Society of School Health
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• v.17 no.2
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• pp.63-71
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• 2004

Purpose: This study was conducted to identify the epidemiological characteristics of school accidents in middle school students. Methods: The subjects in this study were the students of a middle school in Gangnung. The study period was one semester, from March 2 to July 15, 1999. Data were collected by one of the authors using a structured questionnaire, and the subjects who had school accidents and visited the school health care office were interviewed. The data was analyzed using the SPSS and SAS programs. Results: The semester incidence rate per 100 students was 31.6 cases. The daily accident rate was 2.8 cases, and the accident incidence density was 2.6 cases per 1,000 students days. The mean of accident incidence was 1.7 per student. The incidence was the highest in June. The most frequent cause of accidents was carelessness, and the accidents were most frequent at recess. Conclusion: It is necessary to conduct the analytic epidemiological study to identify the risk factors of school accidents.

• Journal of the military operations research society of Korea
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• v.30 no.1
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• pp.30-47
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• 2004

This research considers a Network Diversion Problem (NDP) in the directed graph, which is to identify a minimum cost set of links to cut so that any communication paths from a designated source node to a destination node must include at least one link from a specified set of arcs which is called the diversion arcs. We identify a redundant constraint from an earlier formulation. The problem is known to be NP-hard, however a detailed proof has not been given. We provide the proof of the NP-hardness of this problem. We develop a tabu search algorithm that includes a preprocessing procedure with two steps for removing diversion arcs as well as reducing the problem size. Computational results of the algorithm on instances of general graphs and grid graphs are reported.

• Journal of Distribution Research
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• v.4 no.2
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• pp.75-91
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• 1999

This study is intended to help internet marketers by trying to segment consumer who had experience in buying clothing in internet shopping-malls. Concrete purpose of this study was 1)to segment by Buying Motives of Internet Clothing Buyer, 2) to identify demographic traits of segmented groups and 3) to identify buying behavior traits, internet shopping-mall choice criteria of segmented groups. The data of 500 respondents were collected by questionnaires in internet survey site. The results were as follows : 1) 5 factors; convenience, informational, hedonic, economic, easiness of refund were revealed by factor analysis, 2) 3 group types by buying motives; information-oriented, hedonic, convenience-oriented were identified by cluster analysis, 3) 3 groups were different in demographic traits, 4) goal-directed/experience-directed behavior and shopping-mall choice criteria of three groups were different. And then marketing implications were discussed.

• Journal of information and communication convergence engineering
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• v.9 no.3
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• pp.295-300
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• 2011

Twitter is a popular microblogging service that enables the users to send and read short text messages. These messages are becoming source to analyze topic trends and identify relations among temporal topics. In this paper, we propose a method to classify the temporal topics on Twitter as a problem of grouping the similar patterns. To provide a starting point for a classification under the same topics, we identify the content word weighting scheme based on Latent Dirichlet Allocation (LDA). And we formulate how the temporal topics in the time window can be classified like peaky topics, constant topics, and periodic topics. We provide different real case studies which show the validity of the proposed method. Evaluations show that the proposed method is useful as a classifying model in the analysis of the temporal topics.

• Journal of Institute of Control, Robotics and Systems
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• v.12 no.3
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• pp.241-247
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• 2006

We propose a character recognition system to extract the component reference names from printed circuit boards (PCBs) automatically. The names are written in horizontal, vertical, reverse-horizontal and reverse-vertical directions. Also various symbols and figures are included in PCBs. To recognize the character and orientation effectively, we divide the recognizer into two stages: character classification stage and orientation classification stage. The character classification stage consists of two sub-recognizers and a verifier. The rotaion-invarint features of input pattern are then used to identify the character independent of orientation. Each recognizer is implemented as a neural network, and the weight values of verifier are obtained by genetic algorithm. In the orientation classification stage, the input pattern is compared with reference patterns to identify the orientation. Experimental results are presented to verify the usefulness of the proposed system.