• 지식경영연구
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• 제6권2호
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• pp.149-168
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• 2005

Owing to the limits of IT System-driven knowledge management(KM) for innovation processes, alternative KM methods has been suggested such as: (1) the knowledge network of experts or (2) communities-of-practice. This study analyzes two cases in terms of on-line expert knowledge networks for problem-solving, with the dimensions of analysis based on a theoretical framework. By analyzing the cases of S company's expert network and Naver's Ji-sik-iN, we found that system quality(e.g., ease of use, accessibility, and searching function), information/knowledge quality(e.g., usefulness, accuracy, and timeliness), knowledge-sharing culture, social capital and relevant reward systems are important for stimulating a Q&A-based problem-solving knowledge network. Implications of the findings and future research directions are discussed.

• 기술혁신연구
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• 제27권3호
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• pp.113-142
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• 2019

이 연구는 국가경쟁력을 향상시키는 조건으로서 기술창업의 역할에 대해 분석한다. 기업가의 지식확산이론(Knowledge Spillover Theory of Entrepreneurship)을 기반으로, 국가 내 기술기반 창업의 비중이 국가경쟁력을 높이는 데 어떠한 영향을 주는지 분석한다. 또한 국가경제개발 단계 측면에서 혁신주도형경제(Innovation-driven economy)에 해당되는 경우 국가경쟁력에 미치는 기술창업의 영향력이 어떻게 조절되는지 살펴본다. 2011년부터 2014년까지 83개 국가의 기술창업, 국가경쟁력지수, 경제개발단계 등의 데이터를 기반으로 분석한 결과, 국가 내 기술창업비율은 국가경쟁력과 U자형 관계를 가진다는 점을 확인했다. 또한 국가 발전단계 상 혁신주도형경제에 해당되는 국가의 경우 이 관계는 강화되는 방향으로 조절되는 점을 확인했다. 이 연구는 기술 기반의 창업 비율이 증가할수록 국가경쟁력에 무조건 긍정적 영향을 미치지 않으며 상황과 조건이 잘 맞아야 함을 강조한다.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1998년도 추계학술대회 학술발표 논문집
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• pp.461-467
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• 1998

Although many methods of knowledge acquisition has been developed in the expert systems field, such a need for causal knowledge acquisition has not been stressed relatively. In this respect, this paper is aimed at suggesting a causal knowledge acquisition process, and then investigate the causal knowledge-based inference process. A vehicle for causal knowledge acquisition is FCM (Fuzzy Cognitive Map), a fuzzy signed digraph with causal relationships between concept variables found in a specific application domain. Although FCM has a plenty of generic properties for causal knowledge acquisition, it needs some theoretical improvement for acquiring a more refined causal knowledge. In this sense, we refine fuzzy implications of FCM by proposing fuzzy implications of FCM by proposing fuzzy causal relationship and fuzzy partially causal relationship. To test the validity of our proposed approcach, we prototyped a causal knowledge-driven inference engine named CAKES and then experime ted with some illustrative examples.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1991년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 22-24 Oct. 1991
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• pp.715-719
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• 1991

In manufacturing process, usually 2-dimensional part drawing is used as a basic data. If a designer wants to recognize 2-dimensional drawing and formulate 3-dimensional shape, a proper feature recognition rule is required as a prerequisite step. These rules are converted Into knowledge base, should be ed separately in the recognition program and can be referenced In similar way of database application. In this paper, basic feature recognition rules are addressed in structure type knowledge base, and the application system is formulated which can be operated separately with existing data driven program.

• Computers and Concrete
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• 제15권1호
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• pp.55-71
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• 2015

This paper presents a novel harmony search (HS)-based data-driven single input rule modules (SIRMs)-connected fuzzy inference system (FIS) for the prediction of stress in externally prestressed tendon. The proposed method attempts to extract causal relationship of a system from an input-output pairs of data even without knowing the complete physical knowledge of the system. The monotonicity property is then exploited as an additional qualitative information to obtain a meaningful SIRMs-connected FIS model. This method is then validated using results from test data of the literature. Several parameters, such as initial tendon depth to beam ratio; deviators spacing to the initial tendon depth ratio; and distance of a concentrated load from the nearest support to the effective beam span are considered. A computer simulation for estimating the stress increase in externally prestressed tendon, ${\Delta}f_{ps}$, is then reported. The contributions of this paper is two folds; (i) it contributes towards a new monotonicity-preserving data-driven FIS model in fuzzy modeling and (ii) it provides a novel solution for estimating the ${\Delta}f_{ps}$ even without a complete physical knowledge of unbonded tendons.

• 지식경영연구
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• 제6권1호
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• pp.71-84
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• 2005

This paper is aimed at investigating the influence of the fit between PDA (Personal Digital Assistant) driven mobile technology and tasks on performance. Our research motive was adopted from the burgeoning mobile technology which can be easily observed in modem management. Fit theory has been widely applied to proved the relationship between technology and tasks. However, there are few studies about the fit between mobile technology and tasks. A the advent of the IT, mobile technology started to affect individuals' lifestyle as well as the management style of firms. For the purpose of proving those hypotheses, we collected 173 questionnaires from 20 firms such as manufacturing industry, financial business, service company, telecommunication company which deem using the PDA technology for their management. We applied factor analysis and path analysis for our experiments Results revealed that the mobile technology holds a statistically significant fit with tasks and Individual characteristics.

• 대한전기학회논문지
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• 제41권4호
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• pp.433-441
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• 1992

This paper describes an algorithm that can efficiently analyze the ECG signal using frame knowledge representation technique. Input to the analysis process is a set of significant points which have been extracted from an original sampled signal(lead II) by the syntactic peak recognition algorithm. The hierarchical property of ECG signal is represented by hierarchical AND/OR graph. The semantic information and constraints of the ECG signal are desctibed by frame. As the control mechanism for labeling points, the search mechanism with the mixed paradigms of data-driven and model driven hypothesis formation, scoring function, hypothesis modification network and instance inheritance are used. We used the CSE database in order to evaluate the performance of the proposed algorithm.

• 산업공학
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• 제13권1호
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• pp.29-36
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• 2000

Many organizations have applied the traditional Information Strategy Planning methodologies to planning knowledge management. This approach, however, cannot sufficiently realize the strategic value of various kinds of knowledge. To overcome above problems, this research classifies knowledge according to its features and identifies characteristics of each knowledge category. And then, structured Knowledge Strategy Planning methodology, $P^2-KSP$, is proposed. With $P^2-KSP$, an organization can identify organizational knowledge and develop KM architecture from both perspectives of the performance measurement system and business processes.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권3호
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• pp.1442-1453
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• 2016

Now, there are prodigiously expanding worldwide economic networks in the information society, which require their social structural changes through technology innovations. This paper so tries to formally define a process-centered knowledge model to be used to analyze policy-making procedures on technology innovations. The eventual goal of the proposed knowledge model is to apply itself to analyze a topic network based upon composite keywords from a document written in a natural language format during the technology innovation procedures. Knowledge model is created to topic network that compositing driven keyword through text mining from natural language in document. And we show that the way of analyzing knowledge model and automatically generating feature keyword and relation properties into topic networks.

• 설비공학논문집
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• 제15권10호
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• pp.795-801
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• 2003

The primary object of this study is to obtain a basic knowledge of heat transfer enhancement mechanism as affected by temperature driven Marangoni convection. Experiments is achieved to visualize the enhanced heat transfer phenomena by the effect of Marangoni convection through the laser holographic interferometry. Also Nusselt Number is introduced for the relation of Marangoni Number.