• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.2
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• pp.672-677
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• 2016

This study examined the relative industry competence of Kyunggi regional area. The LQ index was applied to estimate the competence of 11 culture contents. In the case of the amount of revenue, cartoon, characters, knowledge information, and publishing showed a relative high competence over LQ 1.0. Regarding the number of companies, cartoon, music, game, character, and knowledge information showed LQ of more than 1.0. The criteria of the number of employees indicated publishing, cartoon, game, character industry to be significant. The common LQ index result of 3 criteria suggested cartoon and character industry to be influential. This indicates that the flow among knowledge, information and person in a regional industry cluster are most important for promoting industry core competence.

• Journal of the Korean Geographical Society
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• v.44 no.3
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• pp.355-371
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• 2009

The purpose of this study is to investigate the spatial structure of the production of technological knowledge in the Korean photonics industry. Patent data were used as a proxy of knowledge production. The data were gathered by keywords among the registered patents which were applied from 1996 to 2007. The photonics industry patents registered at United States Patent Trademark Office(USPTO) show that Korea and Taiwan, as a latecomer, have rapidly increased. The photonics industry patents registered at Korean Intellectual Property Office(KIPO) were analyzed by type of application: single-applicant and co-applicant patents. The analysis of single-applicant patents shows that technological knowledge in the Korean photonics industry has been produced mainly in Seoul, Suwon, and Daejeon. The degree of spatial bias, however, has been slightly decreased during the study period. Above-mentioned regions are also main centers in the analysis of co-applicant patents, but the forms of inter-regional cluster and network are different over time. It is because agents participating in co-applicant patents are diverse and increased. Furthermore, it seems that policies, such as the improvement of the infrastructure of ICT, the promotion of the photonics industry and the industry-university-institute collaboration, are very influential.

• Journal of Korea Port Economic Association
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• v.34 no.2
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• pp.51-68
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• 2018

This paper compares the differences in management performance in the logistics market and analyzes the differences in business characteristics depending on the industry types. In addition, the effects of industry types and business characteristics on management performance are examined. The analysis method used is ANOVA and K-means clustering. The implication of the study are as follows. First, in the logistics market in Japan, there was a difference in management performance among the types of industry. The warehousing service type had the highest profitability and stability among all the industry types. Second, differences in business characteristics by industry types were tested. It was found that offshore cargo transportation type was more capital intensive than the other types. In addition, warehousing service type had higher business leadership and credit transaction than others. Third, industry types and clusters based on business characteristics had a significant impact on management performance through interaction effects. For the profitability variables in detail, other clusters had a significant effect between transportation types(onshore and offshore cargo) and warehousing service type. On the other hand, in stability variables, one cluster was effective in all types, which is a characteristic that lowers both capital intensity and business leadership.

• Journal of agriculture & life science
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• v.44 no.2
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• pp.75-84
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• 2010

The growth of food industry has not increased the demand for domestically produced agricultural products as raw materials. This is because the prices of domestic agricultural products are expensive relative to the imported ones and domestic products are hard to be supplied consistently. Thus the connection between domestic agriculture and food industry must begin with the investigation of appropriate items that have potentials to be used as raw materials for food industry. There have been many policies that support regional agriculture such as the policy that fosters regional cluster for agriculture. These policies can contribute to instigate the connection between agriculture and food industry. The infra prepared by the supporting policies and the facilities that food companies are operating can be used together for both agriculture and food industry. The complementary utilizations of the infra and facilities may encourage the connection between agriculture and food industry.

• Journal of Korea Society of Digital Industry and Information Management
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• v.16 no.2
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• pp.61-68
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• 2020

Nuclear power plants have a lower cost of power generation, and they are more eco-friendly than other power generation plants. Also, we need to prepare nuclear plant accidents because of their severe damage. In the event of a safety accident, such as a radiation leak, by applying a wireless sensor network to a nuclear power plant, many sensor nodes can be used to monitor radiation and transmit information to an external base station to appropriately respond to the accident. However, applying a wireless sensor network to nuclear power plants requires routing protocols that consider the sensor network size and bypass obstacles such as plant buildings. In general, the hierarchical-based routing protocols are efficient in energy consumption. In this study, we look into the problems that may occur if hierarchical-based routing protocols are applied to nuclear power plants and propose improved routing protocols to solve these problems. Simulation results show that the proposed routing protocol is more effective in energy consumption than the existing LEACH protocol.

• Journal of Families and Better Life
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• v.27 no.2
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• pp.45-61
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• 2009

The purpose of this study was to develop an understanding of older consumers' lifestyle, and to provide the basic information for developing silver commodities and, in turn, to stimulate the silver industry which has received attention as a next-generation industry. The study divided elderly consumers into four lifestyle categories and analyzed the difference in demographic characteristics among these categories as well as differences in demand for silver products. Data were collected with questionnaire and analyzed with frequency analysis, factor analysis, K-means cluster analysis, one-way ANOVA, and a $x^2$ test using SPSS 15.0. Four different lifestyles categories were identified among elderly consumers : conservative and stability oriented (22 persons, 33.3% of the sample), progressive and relation oriented (22 persons, 15.0%), reality adapted (52 persons, 35.4%), and traditional (24 persons, 16.4%). The demand for silver products demands was significantly different among elderly consumers in the four different lifestyle groups.

• Fashion & Textile Research Journal
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• v.11 no.5
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• pp.779-787
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• 2009

The purpose of this study was to classify the head shape for the apparel industry and to suggest standard head model for korean women. The 23 measurement items of 891 females, aged more than 18 years were used to analysis by statistical methods. Factor analysis, cluster analysis and duncan test were performed using these data. Through factor analysis, 5 factors were extracted upon factor scores and those factors comprised 68.76% for the total variances. 5 clusters as their head and face shape were categorized. We decided for the type 3 to standard head shape. 24 participants were measured using computed tomography(CT). The measured data of skin and skeleton and the standard head shapes were illustrated.

• Journal of Korea Society of Digital Industry and Information Management
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• v.6 no.4
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• pp.153-160
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• 2010

MANET composed mobile nodes without central concentration control like base station communicate through multi-hop route among nodes. Accordingly, it is hard to maintain stability of network because topology of network change at any time owing to movement of mobile nodes. MANET has security problems because of node mobility and needs intrusion detection system that can detect attack of malicious nodes. Therefore, system is protected from malicious attack of intruder in this environment and it has to correspond to attack immediately. In this paper, we propose intrusion detection system based on rules in order to more accurate intrusion detection. Cluster head perform role of monitor node to raise monitor efficiency of packet. In order to evaluate performance of proposed method, we used jamming attack, selective forwarding attack, repetition attack.

• Journal of the Korean Society of Industry Convergence
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• v.7 no.2
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• pp.167-172
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• 2004

Neural networks are used in the framework of sensor based tracking control of robot manipulators. They learn by practice movements the relationship between PSD(an analog Position Sensitive Detector) sensor readings for target positions and the joint commands to reach them. Using this configuration, the system can track or follow a moving or stationary object in real time. Furthermore, an efficient neural network architecture has been developed for real time learning. This network uses multiple sets of simple back propagation networks one of which is selected according to which division (Corresponding to a cluster of the self-organizing feature map) in data space the current input data belongs to. This lends itself to a very training and processing implementation required for real time control.

• 한국IT서비스학회:학술대회논문집
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• 2008.11a
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• pp.112-115
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• 2008

CRM is one of fields that come into the spotlight in academic circles. A Marked changes of business environment makes it get a various information about competitive products unlike in the past and makes it understand the customer needs. Also, Market boundary become to be uncleared. Insurance industry is lied in the age of limitless competition due to uncleared market boundary. Channels for getting customer information and understandings become to be various. In this study, we collect the customer information using various channel and we analyze out a primary factor. Using this results, we present the method that cluster target customers. It is the object of this paper that analyze out the effects when we execute the One-to-One-Marketing using clustered target customer based customer pattern.