• Journal of Digital Convergence
• /
• v.15 no.10
• /
• pp.133-150
• /
• 2017

In this study, the performance of the technological innovation of small and medium enterprises is divided into short-term aspects of technological innovation and long-term aspects of ambidextrous innovation, and the effects of dynamic capabilities affecting these achievements are explored. For the purpose of conducting empirical analysis, the survey conducted a survey of 219 small businesses belonging to various industries, and dynamic capabilities performed a parallel multi-parameter analysis to demonstrate the effectiveness of technological innovation performance, including exploratory innovation and exploitative innovation. Through this study, it aims to understand the dynamic capabilities of the small and midsize enterprises and provide suggestions on how to manage of the company, thereby improving the understanding of dynamic capabilities and helping to improve the management of small and medium-sized enterprises.

• Korean Journal of Agricultural Science
• /
• v.37 no.1
• /
• pp.27-35
• /
• 2010

A study examined visitors' satisfaction to urban arboretum in Daejeon metropolitan city, and analyzed utilization status. Also, the study was based on POE. POE is a last phase in the environmental planning and design process that follows the sequence of planning, programing, design construction, and use of a project. Urban arboretum contribute to improvement in the quality of living by providing urban citizens with places for refreshment, natural have important values on urban environment and to promote the quality of life for urbanite. So, the study aims to present data on the human activities responding to the physical environment of 'the Daejeon Hanbat Arboretum' by evaluating visitor's behavior and activity, visiting motivations, preference patterns, and the degree of visitor's satisfaction. This study is conducted by multi-method such as interviews and questionnaires surveys. On-site questionnaire surveys were conducted in the Hanbat arboretum on October 25-31 of 2009. Total of 265 questionnaires were analyzed for this study. The analysis of data was used SPSS 18.0 statistical analysis program. Data from visitors was analyzed by descriptive statistics, frequency analysis, multiple response analysis, and Anova. Then, the outcome will be compared and evaluated to install urban arboretum that reflect the desires of users in the future.

• Asian Pacific Journal of Cancer Prevention
• /
• v.15 no.21
• /
• pp.9125-9130
• /
• 2014

Background: This study aimed to determine the incidence of prostate cancer in Turkey in a population-based sample, and to determine clinical and pathological characteristics of the cases. Materials and Methods: All newly diagnosed prostate cancer patients were included in this national, multi-centered, prospective and non-interventional epidemiological registry study conducted in 12 cities representing the 12 regions of Turkey from July 2008 to June 2009. The population-based sample comprised 4,150 patients with a recent prostate cancer diagnosis. Results: Age-adjusted prostate cancer incidence rate was 35 cases per 100,000 in Turkey. At the time of diagnosis, median age was 68, median PSA level was 10.0 ng/mL. Digital rectal examination was abnormal in 36.2% of 3,218 tested cases. Most patients had urologic complaints. The main diagnostic method was transrectal ultrasound guided biopsy (87.8%). Gleason score was ${\leq}6$ in 49.1%, 7 in 27.8% and >7 in 20.6% of the cases. There was a statistically significant positive correlation between serum PSA level and Gleason score (p=0.000). The majority of patients (54.4%) had clinical stage T1c. Conclusions: This is the first population-based national data of incidence with the histopathological characteristics of prostate cancer in Turkey. Prostate cancer remains an important public health concern in Turkey with continual increase in the incidence and significant burden on healthcare resources.

• Journal of Korea Game Society
• /
• v.2 no.2
• /
• pp.113-119
• /
• 2002

With development of internet technology, digital economy that advance rapidly formed much leagues of B2B, B2C, A2B etc, according to the application part. Also, electronic commerce system implementation technology is introduced by Component based on development method in object oriented technique base depending on customer's requirement, and development environment changes by 3- Tiers, Web-Based architecture etc. in existent C/S (Client/Server) environment and is introduced. Thus, In this research, I implemented seat reservation and confirmation system that can be used in electronic commerce in multi-server environment. This, for improve efficiency in distribute environment, relevant importance logic used server component model EJB, and implemented through JSP and Java that use Servlet of Resin Server environment for Main Server. Therefore, through independence component using EJB, I did so that can improved independence between electronic commerce system logic, and reduce server's overhead calling relevant method through discrete EJB server, and manage each logic resources efficiently.

• Journal of the Economic Geographical Society of Korea
• /
• v.7 no.2
• /
• pp.329-343
• /
• 2004

The Social Overhead Capital contains roads, railroad system, airports, seaport, waterworks, electric power plants, and etc. This SOC is very important, not only as a national economic competitiveness factor, but also as a national security factor. For example, 'Freedom Express Way' works as a tool of psychological warfare to the North Korea, as well as an economics infrastructure. In spite of that, until now on, we have disregarded the SOC as a national security factor. Constructing the SOC, only considering economic cost, we have not fulfilled other purpose requirement like stable national security, balanced development. When we invest the money to construct the SOC, considering multi-purpose requirement like military purpose, economic purpose, social purpose and cultural purpose, as a whole national wide point of view, the scares national resources and government budgets will be saved.

• Korean Journal of Health Education and Promotion
• /
• v.32 no.4
• /
• pp.67-78
• /
• 2015

Objectives: This study aims to examine the trends of mobile-health research in terms of community participation. Methods: A set of 24 peer-reviewed articles were identified for review. Two authors independently reviewed the articles using a literature review matrix and reexamined as a team. Review categories include: general characteristics, research methods, levels and ranges of community participation, and research topics. Results: Most of the articles were published in 2013-2014, including one domestic paper. Multidisciplinary approaches were used in 65% of the studies. Community participation was at low or mid-levels of Arnstein's participation model. In mobile-health research so far, the level of participation tends to improve as more diverse stakeholders participate in health promotion initiatives with mobile-health. The review yielded five types of mobile-health research for community health promotion: improving the quality of primary healthcare through the community health workers' capacity enhancement; improving the data collection capabilities; facilitating exchanges of community information and resources; reinforcing community identity; and monitoring physical environment of the communities. Conclusions: Although at an early stage of research development, application of mobile-health to community health promotion via participation has a potential. Multi-disciplinary approaches should be fostered for further development.

• Convergence Security Journal
• /
• v.14 no.7
• /
• pp.53-58
• /
• 2014

MANET can quickly build a network because it is configured with only the mobile node and it is very popular today due to its various application range. However, MANET should solve vulnerable security problem that dynamic topology, limited resources of each nodes, and wireless communication by the frequent movement of nodes have. In this paper, we propose a domain-based distributed cooperative intrusion detection techniques that can perform accurate intrusion detection by reducing overhead. In the proposed intrusion detection techniques, the local detection and global detection is performed after network is divided into certain size. The local detection performs on all the nodes to detect abnormal behavior of the nodes and the global detection performs signature-based attack detection on gateway node. Signature DB managed by the gateway node accomplishes periodic update by configuring neighboring gateway node and honeynet and maintains the reliability of nodes in the domain by the trust management module. The excellent performance is confirmed through comparative experiments of a multi-layer cluster technique and proposed technique in order to confirm intrusion detection performance of the proposed technique.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.39C no.4
• /
• pp.400-406
• /
• 2014

In this paper, we propose an approach to minimizing total power consumption by deploying multiple clean-up robots simultaneously in a given area. For this, we propose to use the cooperative game theoretic approaches (i.e., Nash bargaining solution (NBS)) such that the robots can optimally and fairly negotiate the area division based on available resources and characteristics of the area, thereby leading to the minimum total power consumption. We define a utility function that includes power consumptions for characteristics of areas and the robots can agree on a utility pair based on the NBS. Simulation results show that the proposed approach can reduce the total average power consumption by 15-30% compared to a random area division approach.

• Journal of the Korea Convergence Society
• /
• v.9 no.5
• /
• pp.1-6
• /
• 2018

In smart grid an accurate load forecasting is crucial in planning resources, which aids in improving its operation efficiency and reducing the dynamic uncertainties of energy systems. Research in this area has included the use of shallow neural networks and other machine learning techniques to solve this problem. Recent researches in the field of computer vision and speech recognition, have shown great promise for Deep Neural Networks (DNN). To improve the performance of daily electric peak load forecasting the paper presents a new deep neural network model which has the architecture of two multi-layer neural networks being serially connected. The proposed network model is progressively pre-learned layer by layer ahead of learning the whole network. For both one day and two day ahead peak load forecasting the proposed models are trained and tested using four years of hourly load data obtained from the Korea Power Exchange (KPX).

• Journal of the Institute of Electronics and Information Engineers
• /
• v.51 no.10
• /
• pp.3-10
• /
• 2014

In this paper, the performances of the presented D2D (device-to-device) systems under the environment of the cognitive convergent overlay networks are evaluated based upon the locations of the D2D users' terminals, the power consumptions of the terminals and the reductions of the interference levels. As the capabilities of the users' terminals improve, the optimization of the system is crucial to the efficient utilization of the radio resources of the individual networks considering their mobility and the features of their networks. Users' mobility model is given for the performance evaluation of the D2D system. In this paper, the performances of the D2D systems are evaluated in terms of the performance index of the FER (frame error rate) employing multiantenna techniques (MIMO:multiple input multiple output) for the various network environments.