• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.578-579
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• 2021

According to a survey on the infringement of SMEs, the level of technology protection capability is improving every year, but technology leaks and damage continue to occur. This shows that there is a need for a security management and supervision system that can strengthen the security awareness of SME executives and employees and maintain the security level continuously. The Personal Information & Information Security Management System(ISMS-P) authentication systems is the latest related standard, which has the problem of applying the same certification criteria without considering the types of certification target organizations such as ISPs, IDC, hospitals and schools, and SMEs.. In this paper, 73 evaluation items that can be specialized and applied to SMEs were derived by referring to ISMS-P certification and Personal Information Protection Management System (PIMS) certification. The results of the study show that the number of evaluation items decreased by 28.4% compared to the existing ISMS-P certification.

• Knowledge Management Research
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• v.16 no.1
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• pp.243-254
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• 2015

To increase their market shares and grow continuously, it is very important for small and medium-sized enterprises (SMEs) to expand their markets. Although various factors may influence an SME's effort to cultivate a new market, this research focused on activities related to the search and utilization of external knowledge. After conducting Tobit analysis based on the dataset of 959 Korean SMEs included in the 2010 Korean Innovation Survey, we found that external knowledge search and utilization activities positively affect the market expansion of SMEs. This result has two implications: (1) SMEs should actively search for appropriate external knowledge sources with which they can expand their markets and reduce their dependence on internal R&D activities; and (2) they should implement an efficient corporate system to effectively absorb and utilize external knowledge inside the firms. Despite these contributions, this research has its shortcoming in that it utilized a cross-sectional dataset, which can be further analyzed by incorporating the dataset from previous and future periods.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.10a
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• pp.43-46
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• 2003

Government's R ＆ D Subsidy system is difference to the agency of R ＆ D performance. Ministry of Science and Technology(MOST), Ministry of Information and Communication(MIC) have a similarity rules to grants programs by the President's order. Name is 'The Rules of the National R ＆ D Program Management'. But this rules established for the national institute, university and big enterprise., Then, This Rules difference for the Snail and Medium Enterprise(SME's). Some article is not allowed for the SME's. So, Suggestion for this question should improvement.

• Journal of Biosystems Engineering
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• v.30 no.1 s.108
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• pp.8-16
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• 2005

The extrusion-cooking condition on Cordyceps pruinosa was designed using twin-screw extruder. Response surface methodology (RSM) was used to investigate extrusion-cooking using a central composition design with varying die temperature $(114-146^{\circ}C)$, feed moisture $(22-38\%)$, feed rate (4-14 ka/h) and screw speed (120-280 rpm). System parameters (die pressure and specific mechanical energy (SME)) and extrudate parameters (density and water solubility index (WSI)) were statically analyzed using RSH. Die pressure was significantly affected by temperature, moisture contents and feed rate. SM was affected by screw speed and feed rate. When die temperature is $130^{\circ}C$ and moisture content $25\%$, the optimum pressure is shown. SME is about 20 Wh/kg, when feed rate is $10\~12kg/min$ and screw speed $200\~250rpm$. WSI was affected by temperature and moisture contents. Density was not affected by any factor. WSI increases by $7\%$ from about $23\%$ to about $30\%$, as temperature is raised from $120^{\circ}C\;to\;140^{\circ}C$. The WSI of Cordyceps pruinosa pulverized after extruding (PE) is about $26.97\%$ higher than that of raw material and $10\%$ higher than that of pulverized after drying (PD). The content of unsaturated fatty acid were not significantly different in PD and PE. Anti-oxidative activity of PE was 1.67-2.2 times higher than that of PD in Cordyceps pruinosa using 1- dipheny1-2-picrylhydrazyl method (DPPH).

• The Transactions of the Korean Institute of Power Electronics
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• v.4 no.2
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• pp.215-222
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• 1999

Integrating energy storage into electlic power system has long been recognized as a way to maximize a utility's g generation and transmission capacity, Electlic power can be stored during off-peak periods and then recovered during p peak conditions to offset the need for larger generation and transmission capacity, Currently large-scale SMES for the p purpose of energystorage which can be also se$\pi$ed by battery storage or flywheel system has been developed, and near f future it will be integrated into power grids, This paper presents an investment analysis on large-scale SMES which c can determine its optimal size in power systems, In operation model. least generation cost for energy storage in SMES a and its mar밍nal capacity cost can be calculated using the discreteness of probability distribution for power availability I Investment decisions are made by the maximum p디nciple and the case study shows the optimal operation and realistic i information on the proper size of large-scale SMES in power systems.

• Journal of the Korea Safety Management & Science
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• v.16 no.4
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• pp.331-341
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• 2014

Internet of Thing(IoT), which is recently talked about with the development of information and communication technology, provides big data to all nodes such as companies and homes, means of transportation etc. by connecting all things with all people through the integrated global network and connecting all actual aspects of economic and social life with Internet of Thing through sensor and software. Defining Internet of Thing, it plays the role of a connector of providing various information required for the decision-making of companies in the cloud computing environment for the Insight usage by collecting and storing Raw Data of the production site through the sensor network and extracting big data in which data is accumulated and Insight through this. In addition, as the industry showing the largest linkage with other root industries among root industries, the mold industry is the core technology for controlling the quality and performance of the final product and realizing the commercialization of new industry such as new growth power industry etc. Recently, awareness on the mold industry is changing from the structure of being labor-intensive, relying on the experience of production workers and repeating modification without the concept of cost to technology-intensive, digitization, high intellectualization due to technology combination according to IT convergence. This study, therefore, is to provide a golden opportunity to increase the direct and indirect expected effects in poor management activities of small businesses by actually implementing and managing the entire process of mold life cycle to information system from mold planning to mass production and preservation by building SME(small and medium-sized enterprises)-type mold life cycle management information system in the cloud computing environment and applying it to the production site.

• Korean small business review
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• v.42 no.1
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• pp.1-17
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• 2020

As technology competition among companies has intensified, the importance of technology protection is increasing day by day. However, according to the status of technology leakage in Korea, the technology protection level of SMEs is weak. SMEs' technology leakage continues to occur, and the damage can be even more serious to SMEs. Thus, the government is operating various support systems for SMEs. However, despite the support system, the interest and use of SMEs is low. This study examines the current status of major support systems for SME technology protection in Korea, and empirically analyzes the recognition and expectation effects of companies on the support systems. Based on the results, this study discusses ways to improve the recognition and use of the support system. The results of this study will contribute to strengthening SMEs 'technology protection by increasing the utility and enhancing the utilization of the support systems.

• 한국디지털정책학회:학술대회논문집
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• 2005.06a
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• pp.401-411
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• 2005

The major market of Information Systems has been large companies. But with the rapid development of light weight Information Technology, the importance of SME (Small and Medium sized Enterprise) sector has increased dramatically. Many solutions have appeared in market for SMEs. Although there are many differences in the context of IT use between large companies and SMEs, not many studies has focused on this point. This study analyzes the preference for ERP, SCM, CRM, etc. by SMEs.

• International Journal of Computer Science & Network Security
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• v.21 no.6
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• pp.35-46
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• 2021

Small and Medium Enterprises (SMEs) are increasingly using ERP systems to connect and manage all their functions, whether internally between the different departments, or externally with customers in electronic commerce. However, the selection of the right ERP system is usually an issue, due to the complexities of identifying the criteria, weighting them, and selecting the best system and provider. Because cost is usually important for SMEs, ERP systems based on Cloud Software as a Service (SaaS) has been adopted by many SMEs. However, SMEs face an issue of selecting the right system. Therefore, this paper proposes a fuzziness ranking engine system in order to match the SMEs requirements with the most suitable service provider. The extensive experimental result shows that our approach has better result compared with traditional approaches.

• International journal of advanced smart convergence
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• v.12 no.3
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• pp.51-60
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• 2023

This study focuses on the design of a GPT-based system for relatively rapid technology credit assessment of SMEs. This system addresses the limitations of traditional time-consuming evaluation methods and proposes a GPT-based model to comprehensively evaluate the technological capabilities of SMEs. This model fine-tunes the GPT model to perform fast technical credit assessment on SME-specific text data. Also, It presents a system that automates technical credit evaluation of SMEs using GPT and LLM-based chatbot technology. This system relatively shortens the time required for technology credit evaluation of small and medium-sized enterprises compared to existing methods. This model quickly assesses the reliability of the technology in terms of usability of the base model.