• Journal of Intelligence and Information Systems
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• v.29 no.4
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• pp.415-430
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• 2023

The Material·Part·Equipment industry is mostly an industry centered on small and medium-sized enterprises (SMEs) and is an important industry for revitalizing the local economy, which is the source of manufacturing competitiveness. In this study, we tried to derive the implications necessary for the development of the Material·Part·Equipment industries by analyzing the competitiveness of the Material·Part·Equipment industries in the Chungcheong region. To this end, we analyzed the industrial development stage and competitiveness of each region (Daejeon, Sejong, Chungnam, and Chungbuk) based on business scale factor, industrial growth rate, industrial specialization, and regional competitiveness for the Material·Part·Equipment industries in the Chungcheong region. Using data such as the number of employees, the number of businesses, and the amount of production in 2014 and 2019, significant industrial groups by region were identified considering the level of industrial specialization and regional competitiveness. In addition, by identifying the positions of these significant industrial groups in the stage of industrial development, suggestions for the development of the Material·Part·Equipment industries in the Chungcheong region were presented.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.5
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• pp.60-68
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• 2020

Owing to the complexity and modernization of weapon systems, the role of the defense industry in producing military companies has become increasingly important. In the past defense industries, price competitiveness is a key factor in product choice. On the other hand, product quality is becoming increasingly important compared to price competitiveness. In particular, improving the quality efficiency of small and medium defense suppliers is a necessary part of realizing completed weapon systems, and measures are required to evaluate the quality efficiency of small and medium defense suppliers objectively. This study measured the efficiency of quality using DEA, which is one of the decision methodologies. To use DEA, the number of employees (QA Team) and the number of improvement requirements (Through the activity of onsite quality-support team in aeronautical system center) were set as the input variables. In addition, the output variables were based on sales and the number of certification acquisitions (QMS). To analyze the quality efficiency of small and medium defense suppliers in the aeronautical field, both CCR and BCC models were analyzed, and the scale efficiency values were derived. Strategic development plans for small and medium defense suppliers can be guided using the research results.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.16 no.6
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• pp.489-498
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• 2023

Advancements in hardware performance and computing technology have facilitated the progress of climate prediction models to address climate change. The Korea Meteorological Administration employs the GloSea6 model with supercomputer technology for operational use. Various universities and research institutions utilize the Low-GloSea6 model, a low-resolution coupled model, on small to medium-scale servers for weather research. This paper presents an analysis using Intel VTune Profiler on Low-GloSea6 to facilitate smooth weather research on small to medium-scale servers. The tri_sor_dp_dp function of the atmospheric model, taking 1125.987 seconds of CPU time, is identified as a hotspot. Nonlinear regression models, a machine learning technique, are applied and compared to existing functions conducting numerical operations. The K-Nearest Neighbors regression model exhibits superior performance with MAE of 1.3637e-08 and SMAPE of 123.2707%. Additionally, the Light Gradient Boosting Machine regression model demonstrates the best performance with an RMSE of 2.8453e-08. Therefore, it is confirmed that applying a nonlinear regression model to the tri_sor_dp_dp function during the execution of Low-GloSea6 could be a viable alternative.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.54-54
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• 2011

홍수로 인한 인적 물적 피해는 국가 및 지방자치단체의 치수방재노력에도 불구하고 매년 끊이지 않고 발생하고 있다. 다행히 인명피해의 경우 1970, 80년대 연간 300명 규모에서 2000년대에는 150명 가량으로 줄고 있으나, 재산상의 피해는 매년 증가하고 있는 실정이다. 또한 과거 자연재난에 의한 홍수피해에 기후변화라는 외부요인이 추가적으로 발생하고 있는 실정이며, 국가 경제 발전 및 노령화 사회로 인한 홍수취약인구 증가로 좀 더 적극적인 방재대책이 필요할 것으로 판단된다. 이러한 방재대책 등의 국가정책 수립을 위해서는 장래의 홍수피해 예측이 무엇보다 필요하게 되는데, 현재까지는 홍수피해의 빈도분석 등을 통해 이러한 예측이 이루어지고 있다. 그러나 기후변화라는 외생변수는 과거 자료의 확률적 특성을 마비시켜 이러한 방법론들은 효용성을 잃게될 것으로 전망된다. 홍수피해액을 산정하는 방법은 일반적으로 2005년 이후 하천설계기준에서 채택하고 있는 다차원법을 많이 사용하고 있는데, 이 방법은 침수구역의 물리적 피해를 고려할 수 있어 비교적 정확한 홍수피해액을 산정할 수 있는 것으로 알려져 왔다. 그러나 이 방법을 적용하기 위해서는 정확한 침수심 산정이 무엇보다 필요하게 되는데, 이를 위해서는 지리정보체계(GIS)와 수리모형의 연계가 필수적이다. 따라서 이 방법은 주로 중소유역단위의 취수사업에 적용되어 왔다. 그러나 정책결정에 필요한 대규모유역 또는 지자체단위의 피해비용 산정에의 적용은 한계를 갖게 된다. 따라서 본 연구에서는 향후 기후변화 시나리오에 적용이 가능하도록 과거 홍수피해자료와 호우사상의 강우특성을 중심으로 양자간의 히스토그램 분석을 실시하였다. 또한 실제 홍수피해 조사자료는 대부분 지방자치단체별로 조사가 되고 있는 실정이므로 본 연구에서도 행정구역별로 분석을 수행하였다. 분석 결과 지자체별 전체 피해액은 발생횟수가 높은 중규모 호우사상으로 인한 비중이 가장 높게 나타나고 있으며, 국가에서 집중해야할 치수대책 수립 대상 규모도 이를 중점적으로 고려하여야 할 것으로 판단된다.

• Management & Information Systems Review
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• v.37 no.4
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• pp.125-140
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• 2018

Technology cooperation is a necessary factor for small and medium sized firms to be survived and developed because small and medium sized firms can make economy scale and economy scope by new advanced technologies obtained from technology cooperation. Therefore, the technology cooperation of small and medium sized firms can be thought as their specific resource. Due to the importance of technology cooperation, many previous studies paid an attention on its positive effect. Unlike the related studies, this study examined the link among uncertainty of technology environment, relationship characteristics(such as degree of technology cooperation and influential strategy), and relationship tie. The empirical results are reported as follows: Firstly, uncertainty of technology environment positively affected on degree of technology cooperation. Secondly, degree of technology cooperation positively affected on uncoercive influential strategies of both own firm and partner firm. Thirdly, degree of technology cooperation and uncoercive influential strategy of own firm have positive effects on relationship tie while uncoercive influential strategy of partner firm does not. The positive effect of uncoercive influential strategy of own firm means the importance of strategic countermeasures to promote relationship tie in technology cooperation of both own firm and partner firm.

• Journal of the Earthquake Engineering Society of Korea
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• v.16 no.1
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• pp.37-45
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• 2012

In an effort to further exploit the peak ground-motion acceleration (PGA) information per second available in real time by the enacted law, bracketed summations of the PGA per second ($BSPGA_k$) for 30 seconds based on the records with a rate of 100 samples were compared with the cumulative absolute velocity (CAV) and earthquake intensities based on a worldwide database of records from small-to-large earthquakes. The CAV, currently in use as an earthquake damage indicator for nuclear power plants due to its strong correlation with the earthquake intensity, has the disadvantage of requiring a massive amount of digital data with a rate of more than 100 samples per second. The comparative study shows that the $BSPGA_k$ is well correlated with the CAV over the wide range of strong ground-motion levels, which suggests that the $BSPGA_k$ is one of the new promising ground-motion parameters especially useful for rapid earthquake alert notifications through an earthquake monitoring network. Based on the domestic database of records from small-to-moderate earthquakes with felt reports, it is also observed that the $BSPGA_k$ is comparable to the CAV and better than the PGA in predicting the intensity by using the correlation relation.

• Journal of Intelligence and Information Systems
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• v.28 no.3
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• pp.237-258
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• 2022

As the global market environment changes, the domestic ICT industry has a growing influence on the world economy. This industry is regarded as an important driving force in the national economy from a technological and social point of view. In particular, small and medium-sized enterprises (SMEs) in the ICT industry are regarded as essential actors of domestic economic development in terms of company diversity, technology development and job creation. However, since it is small compared to large-sized enterprises, it is difficult for SMEs to survive with a differentiated strategy in an incomplete and rapidly changing environment. Therefore, SMEs must make a lot of efforts to improve their own capabilities, and the government needs to provide the desirable help suitable for corporate internal resources so that they can continue to be competitive. This study classifies the types of ICT SMEs participating in government support programs, and analyzes the relationship between resources and performance creation of each type. The data from the "ICT Small and Medium Enterprises Survey" conducted annually by the Ministry of Science and ICT was used. In the first stage, ICT SMEs were clustered based on common factors according to their experiences with government support programs. Three clusters were meaningfully classified, and each cluster was named "active participation type," "initial support type," and "soloist type." As a second step, this study compared the characteristics of each cluster through profiling analysis for each cluster. The third step carried out in this study was to find out the mechanism of R&D performance creation for each cluster through regression analysis. Different factors affected performance creation for each cluster, and the magnitude of the influence was also different. Specifically, for "active participation type", "current manpower", "technology competitiveness", and "R&D investment in the previous year" were found to be important factors in creating R&D performance. "Initial support type" was identified as "whether or not a dedicated R&D organization exists", "R&D investment amount in the previous year", "Ratio of sales to large companies", and "Ratio of vendors supplied to large companies" contributed to the performance. Lastly, in the case of "soloist type", "current workforce" and "future recruitment plan", "technological competitiveness", "R&D investment", "large company sales ratio", and "overseas sales ratio" showed a significant relationship with the performance. This study has practical implications of showing what strategy should be established when supporting SMEs in the future according to the government's participation in the startup program and providing a guide on what kind of support should be provided.

• Journal of Korea Technology Innovation Society
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• v.16 no.1
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• pp.303-322
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• 2013

A relevance of supporting business of technology financing for technologically innovative SMEs is strongly required for its continuous expansion and development. This study analyzes empirically whether the selection of recipient firms from technology financing have been performed in accordance with its objectives and purposes. Results show that the probability of receiving technology financing is more likely to increase with higher technology rankings and higher operating income ratio. On the other hand, the probability of obtaining financing might be decreased gradually, as the size of capital and age of the firm are increasing. Results also show that technology rankings and firm's major characteristics are found to affect significantly on the decision-making of technology financing. Several useful comments are suggested to improve the relevance of the technology financing since the correct classification rate, which explains the appropriateness of the model, is not at high level. In addition, technology rankings are not uncorrelated with the amount of financing in regression analysis. These research results will contribute to ensure the appropriateness and credibility of the technology financing decision-making.

• Journal of Convergence Society for SMB
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• v.6 no.2
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• pp.19-24
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• 2016

A Study on the Information Security System of Fin-Tech Business In traditional electronic commerce, there have not been severe issues of trading information through documents in paper or the closed EDI. The scale of e-commerce has increased as internet develops, however, turning to the online e-commerce, which caused a number of issues such as authentication, information forgery, and non-repudiation between the parties. To prevent conflicts from such troubles and perform the post management, security technologies are applied throughout the process of e-commerce, certificates intervening. Lately, meanwhile, FinTech has been creating a sensation around the mobile payment service. Incidents of information leakage from card corporations and hackings imply the need of securing safety of the financial service. Development and evolution of FinTech industry must be accompanied by information protection. Therefore, this research aims to inquire into the information security system of leading FinTech company in a foreign country.

• Journal of Convergence Society for SMB
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• v.6 no.3
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• pp.13-19
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• 2016

In various ICBM (IoT, Bigdata, Cloud, Mobile) IT convergence environments, IT technologies have been evolved, new information security threats have been occurred. As information security incidents in major public agencies, financial institutions and companies occurred, it was emphasized that the importance of human security was disclosed. Thus, implementing of information security management system could protect hacks and security breaches and respond quickly to accidents so it minimized the sized of loss. In this paper, comparison of human security controls shown in ISO27001, COBIT, NIST 800-53, K-ISMS, Cyber Security Framework such as the main information security management systems was analyzed, and proposed of the security implications about effective controls of human resources security issues.