• 한국전자거래학회지
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• 제1권1호
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• pp.209-226
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• 1996

System Intergration (SI) has resently been conceived as one df the most important tools for enforciong and reinforcing the competitiveness of an enterprise. A major concern of SI lies in sharing many types of information, such as engineering, production, finance, marketing, and so on. Product Data Management (PDM) systems are mainly concerned with product- related information, and also support a large portion of the Commerce At Light Speed (CALS) straitegy. PDM systems receive a great amount df attention form industry, A variety of PDM solutions have been introduced for the last few years, and its market has expanded very fast with an annual growth of 30%. However, in general, it is not an easy task to choose a right PDM solution for a particular company. A major purpose of this paper is to provide essential factors in evaluating PDM systems. While developing the factors. we consider the expected future trend of PDM technologies and three types of PDM-based intergration (frontward, rearward, and sideward integrations). We Propose to carry out the evaluation process in two fold. An overall evaluation is performed first to narrow down many alternatives into a few candidate systems, and then a detailed technical evaluation step follows to determine the final solution. A number of influencing factors are categorized and described in each of these steps.

• 지식경영연구
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• 제15권4호
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• pp.223-247
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• 2014

A large number of tasks being executed by individuals now are in a central requirement of the creative solutions consolidated with associates' multiple skills, knowledge bases and efforts who are capable of entertaining various viewpoints. Followed by such a variation, teams or groups were gradually settled in a major form of the enterprise's creative revelations. However, in spite of the consistent augmentation of team's application, researches of a group's ability that utilizes individual creative competence effectively are now in the excessively insufficient manner. Accordingly, this research is to verify mutual relationship between individual creativity and group creativity, and furthermore, to present integrative capability and knowledge sharing of the group as a distinctive variable to observe the mechanism of how the individual creativity becomes aggregated with the group creativity through a process. As a result, the relationship between the individual creativity and the group creativity was so significant that it showed that the integrative capability and knowledge sharing were mediated in the connection of the two variables. This research contributes to the comprehension of the relationship between individual and group creativity through the role of a group's integrative capability and knowledge sharing. In addition, further research direction with in-depth idea is presented to develop research on creativeness from the practical standpoint implicated in this research.

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2002년도 학술대회지
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• pp.311-315
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• 2002

최근 새로이 대두되고 있는 신 경영혁신 전략인 6시그마 경영은 이미 제조업이나 서비스업 등에서 큰 성과를 보이고 있으며 세계적으로 경영혁신 전략의 표본으로 널리 확산되고 있다. 하지만, 건설산업의 경우 이러한 경영기법을 적용한 사례가 많지 않으며 이미 적용되었던 경영기법조차 그 성과가 미미한 실정이다. 이에 본 연구에서는 6시그마에 대한 이론적인 고찰과 아울러 그 적용요건을 살펴보고 신 품질관리기법으로 건설산업에 접목되었을 때의 문제점을 파악하여 구체적이며 실제적인 6시그마 적용절차 및 방법론을 제시하고자 한다. 본 연구 결과는 건설산업의 6시그마 경영의 도입에 기초적인 연구로서 활용될 것이다.

• International journal of advanced smart convergence
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• 제11권1호
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• pp.117-126
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• 2022

Corporate social responsibility (CSR) is the basic strategy for enterprises to obtain competitive advantages, and reflects the most basic value orientation and development concept of enterprises. The purpose of this study is to explore the relationship between corporate culture, innovation ability and core competitiveness of enterprises from the perspective of corporate social responsibility, and to establish a model and analyze the survey data of 32 agricultural science and technology enterprises in Tianjin by using SPSS23.0. As a result of the study, we found that corporate social responsibility (Ethical responsibility, Philanthropic responsibility) has a significant positive impact on corporate culture and innovation ability, corporate culture has a significant positive impact on innovation ability and corporate core competitiveness, and innovation ability has a significant positive impact on corporate core competitiveness. Therefore, it is suggested that agricultural science and technology enterprises should fulfill their social responsibilities, form a unique corporate culture, serve agriculture with science and technology, and constantly improve the ability of agricultural science and technology innovation, so as to enhance the core competitiveness of enterprises.

• 한국IT서비스학회지
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• 제17권3호
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• pp.17-36
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• 2018

In this study, we developed a chatbot (Dialogue agent) using small Q & A data and evaluated its performance. The chatbot developed in this study was developed in the form of an FAQ chatbot that responds promptly to customer inquiries. The development of chatbot was conducted in three stages : 1. Analysis and planning, 2. Content creation, 3. API and messenger interworking. During the analysis and planning phase, we gathered and analyzed the question data of the customers and extracted the topics and details of the customers' questions. In the content creation stage, we created scenarios for each topic and sub-items, and then filled out specific answers in consultation with business owners. API and messenger interworking is KakaoTalk. The performance of the chatbot was measured by the quantitative indicators such as the accuracy that the chatbot grasped the inquiry of the customer and correctly answered, and then the questionnaire survey was conducted on the chatbot users. As a result of the survey, it was found that the chatbot not only provided useful information to the users but positively influenced the image of the pension. This study shows that it is possible to develop chatbots by using easily obtainable data and commercial API regardless of the size of business. It also implies that we have verified the validity of the development process by verifying the performance of developed chatbots as well as an explicit process of developing FAQ chatbots.

• 한국세라믹학회지
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• 제44권5호
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• pp.144-147
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• 2007

Calcium metaphosphate (CMP) nanofibers with a diameter of ${\sim}600nm$ were prepared using electrospun CMP/polyvinylpyrrolidone (PVP) fibers through a process of drying for 5 h in air followed by annealing for 1 h at $650^{\circ}C$ in a vacuum. The viscosity of the CMP/PVP precursor containing 0.15 g/ml of PVP was 76 cP. Thermal analysis results revealed that the fibers were crystallized at $569^{\circ}C$. The crystal phase of the as-annealed fiber was determined to be ${\delta}-CMP\;({\delta}-Ca(PO_3)_2)$. However, the morphology of the fibers changed from smooth and uniform (as-spun fibers) to linked-particle characteristics with a tubular form most likely due to the decomposition of the inner PVP matrix. It is expected that this large amount of available surface area has the potential to provide unusually high bioactivity and fast responses in clinical hard tissue applications.

• Nuclear Engineering and Technology
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• 제53권1호
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• pp.253-257
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• 2021

This work demonstrates the use of baromembrane method based on reverse osmosis (RO) process. The method is realized on mobile complex, which allows to concentrate and determine ultra-low activity of radionuclides in water cooling ponds of Russian nuclear fuel cycle enterprises. The existence level of radionuclide background creates difficult conditions for identification the contribution of liquid discharges enterprise, as standard monitoring methods have a very high detection level for radionuclides. Traditional methods for determining the background radionuclides concentrations require the selection of at least 500 liters (l) of water, followed by their evaporation to form a dry residue. This procedure with RO membranes requires at least 5 days. It is possible to reduce the time and energy spent on evaporation of hundreds of water liters by pre-concentrating radionuclides in a smaller sample volume with baromembrane method. This approach allows preliminary concentration of water samples from 500 l volume till 20 l volume during several hours. This approach is universal for the concentration of dissolved salts of any heavy metals, other organic compounds and allows the preparation of water countable samples in much shorter time compared to the traditional evaporation method.

• Structural Engineering and Mechanics
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• 제51권6호
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• pp.973-988
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• 2014

This paper presents a factor-analysis based questionnaire categorization method to improve the reliability of the evaluation of working conditions without influencing the completeness of the questionnaire both in Taiwanese and Chinese construction enterprises for structural engineering applications. The proposed approach springs from the AI application and expert systems in structural engineering. Questions with a similar response pattern are grouped into or categorized as one factor. Questions that form a single factor usually have higher reliability than the entire questionnaire, especially in the case when the questionnaire is complex and inconsistent. By classifying questions based on the meanings of the words used in them and the responded scores, reliability could be increased. The principle for classification was that 90% of the questions in the same classified group must satisfy the proposed classification rule and consequently the lowest one was 92%. The results show that the question classification method could improve the reliability of the questionnaires for at least 0.7. Compared to the question deletion method using SPSS, 75% of the questions left were verified the same as the results obtained by applying the classification method.

• 경영정보학연구
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• 제20권4호
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• pp.25-41
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• 2018

예측 분석을 전사 프로세스에 적용하는 것은 운영비용을 절감하고 생산성을 증대시킬 수 있는 효과적 방법이다. 이에 따라 비즈니스 프로세스의 행동과 성과지표를 예측하는 능력이 기업의 핵심역량으로 간주되고 있다. 최근에 순환신경망 형태의 딥러닝을 이용한 프로세스 예측 연구가 큰 관심을 받고 있다. 특히, 순환신경망을 이용하여 다음 단계의 액티비티를 예측하는 접근법이 우수한 결과를 내고 있다. 그러나 동적 순환신경망 형태의 딥러닝을 프로세스 성과지표의 예측에 적용한 연구는 부재한 상황이다. 이러한 지식의 공백을 메우기 위해 본 연구는 프로세스 마이닝과 동적 순환신경망 형태의 딥러닝을 이용하는 접근법을 개발했다. 국내 대기업의 실제 데이터를 활용하여 구매 프로세스의 중요한 성과지표인 적기 입고 예측에 개발된 접근법을 적용했다. 본 연구의 실험 방법과 결과, 연구의 시사점과 한계점이 제시되었다.

• 융합신호처리학회논문지
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• 제10권4호
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• pp.256-261
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• 2009

최근의 웹환경은 닷넷과 자바로 양분되어 있다. 닷넷은 웹환경에서 원격의 객체를 호출하는 방법으로서 리모팅이라는 기술이 있다. 리모팅 기술 방식은 HTTP(Hypertext Transport Protocol)환경에서 데이터를 주고받는 원격호출의 한 형태로 SOAP(Simple Object Application Protocol)형태의 확장기술이다. 본 연구는 ERP(Enterprise Resource Planning)와 같은 잡한 업무의 웹프로그램에서 많이 사용하는 닷넷 리모팅 기술에서 ERP에 최적화한 응용계층 보안 적용, 리모팅 모듈과 암호화 모듈에서 중복되어 발생하는 직렬화 작업제거, 닷넷에서 사용되는 데이터 객체에 불필요한 데이터 제거를 통해 성능을 향상시키는 보안모듈 적용 방법을 제시하였다. 제시한 방법은 구현 및 실험을 통해 일반적인 보안적용에서 보다 약 2배의 속도 향상이 있음을 확인하였다. 향후 이와 관련된 컴포넌트 기반의 프레임워크 연구를 통해 편리한 개발자 환경 제공이 필요하다.