• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 추계학술대회
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• pp.578-579
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• 2021

중소기업 실태조사에 따르면, 기술보호역량 수준은 매년 나아지고 있으나, 기술유출 및 피해는 지속적으로 발생하고 있다. 이는 중소기업 임직원의 보안의식 강화와 보안수준을 지속적으로 유지할 수 있는 보안관리 및 감독체계가 필요함을 보여준다. 정보보호 및 개인정보보호 관리체계(ISMS-P) 인증 제도가 이와 관련된 최신 기준인데, 이 제도는 ISP, IDC, 병원 및 학교, 중소기업 등 인증 대상 기관의 유형을 고려하지 않고 동일한 인증 기준을 적용하는 문제점이 있다. 본 논문에서는 ISMS-P 인증과 개인정보보호 관리체계(PIMS) 인증을 참고하여 중소기업에 특화되어 적용할 수 있는 73개 평가 항목을 도출하였다. 연구 결과는 기존의 ISMS-P 인증에 비해 평가 항목 수가 28.4% 줄었음을 보여준다.

• 지식경영연구
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• 제16권1호
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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.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2003년도 추계종합학술대회
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• pp.43-46
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• 2003

IT연구개발에 대한 정보통신부의 기술개발지원은 사업별 특성에 따라서 다르고 또한 지원기관에 따라서도 다르다. 기초원천기술개발을 위주로 하는 선도기술개발사업은 과학기술부의 과학기술개발과 유사하고 지원대상 또한 출연연구소, 대학 및 대기업을 주로 지원하면서 산정기준이 주로 출연연구기관을 중심으로 기준을 제정하였고, IT산업기술개발사업과 IT우수신기술 지정지원사업은 기업을 주로 지원하는 사업으로 정부가 대통령령으로 제정한 "국가연구개발사업의관리등에관한규정"의 형식을 수용하면서도 일부 비목들은 인정하지 않고 있다. 이러한 차별은 공급자 중심의 연구개발시스템에서 제정된 것으로 수요자중심의 기업관점에서 볼 때 차별은 마땅히 개선되어야 하므로 새로운 산정 기준안을 제안하였다.

• Journal of Biosystems Engineering
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• 제30권1호
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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).

• 전력전자학회논문지
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• 제4권2호
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• pp.215-222
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• 1999

전기에너지의 저장은 발전효율면이나 전력의 품질향상 등 전력시스템에서 뚜렷한 장점을 가지고 있다. 초전도 에너지 저장장치는 전기에너지를 저장할 수 있는 설비의 하나로 높은 효율과 속응성, 긴 수명 등의 특성으로 전력시스템 적용시 곧 이루어지리라 예상된다. 본 논문에서는 SMES의 국내도입시 필요한 투자정보를 제공하기 위한 최적규모 산정의 알고리즘을 제안한다. 제안한 알고리즘은 SMES의 경제적 운전 양상을 결정하는 확률적 운전모형과 최대원리를 이용한 투자계획모형으로 구성되어 있다.

• 대한안전경영과학회지
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• 제16권4호
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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.

• 중소기업연구
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• 제42권1호
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• pp.1-17
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• 2020

기업 간의 기술 경쟁이 치열해 짐에 따라 기술보호의 중요성은 날로 높아지고 있다. 그러나 우리나라의 기술유출 현황을 살펴보면 중소기업의 기술보호 수준은 취약한 것으로 나타나고 있다. 중소기업의 기술유출은 지속적으로 발생하고 있으며, 유출에 따른 피해는 중소기업에게는 더욱 치명적일 수 있다. 이에 정부에서는 중소기업을 위한 다양한 기술보호 지원제도를 운용하고 있다. 그러나 이러한 지원제도에도 불구하고 중소기업들의 관심과 이용은 저조한 편이다. 본 연구에서는 우리나라의 중소기업 기술보호를 위한 주요 지원 제도들의 현황을 살펴보고, 지원제도에 대한 기업들의 인식과 기대 효과를 실증적으로 분석한다. 실증분석 결과를 바탕으로 지원제도의 인식 제고와 활성화를 위한 개선방안을 논의한다. 연구 결과는 국내의 중소기업 기술보호 지원제도의 효용성 증대와 활용성 제고를 통한 중소기업 기술보호 강화에 기여할 수 있을 것이다.

• 한국디지털정책학회:학술대회논문집
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• 한국디지털정책학회 2005년도 춘계학술대회
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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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• 제21권6호
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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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• 제12권3호
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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.