• 제목/요약/키워드: knowledge using

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미술 치료를 위한 LMT 그림 진단 지원 시스템 (LMT Diagnosis Assistance System for Art Therapy)

  • 소현경;서영훈
    • Journal of Platform Technology
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    • 제6권1호
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    • pp.24-30
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    • 2018
  • LMT 는 10 가지 풍경요소 그림을 이용하여 내담자의 심리 상태를 분석하는 그림 검사기법이다. 본 논문에서는 LMT 그림 분석에 필요한 지식 베이스를 구축한다. 이를 기반으로 그림 검사 후 내담자에게 제공되는 평가 보고서를 생성하는 LMT 그림 진단지원 시스템을 제안하고, 구현한다. 이 시스템은 각종 문헌 및 연구 결과를 기반으로 진단 결과를 생성하기 때문에 진단 결과의 객관성을 제고한다. 또한, 향후 LMT 그림분석에 대한 지식을 지식 베이스에 축적할 수 있어 지속적으로 확장이 가능하다. 본 시스템은 웹 기반으로 서비스할 수 있도록 구현되었으며, 실제 사례를 이용하여 지원 시스템의 효과성을 보였다.

데이터 마이닝과 퍼지인식도 기반의 인과관계 지식베이스 구축에 관한 연구 (A Study on the Development of Causal Knowledge Base Based on Data Mining and Fuzzy Cognitive Map)

  • Kim, Jin-Sung
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2003년도 춘계 학술대회 학술발표 논문집
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    • pp.247-250
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    • 2003
  • Due to the increasing use of very large databases, mining useful information and implicit knowledge from databases is evolving. However, most conventional data mining algorithms identify the relationship among features using binary values (TRUE/FALSE or 0/1) and find simple If-THEN rules at a single concept level. Therefore, implicit knowledge and causal relationships among features are commonly seen in real-world database and applications. In this paper, we thus introduce the mechanism of mining fuzzy association rules and constructing causal knowledge base form database. Acausal knowledge base construction algorithm based on Fuzzy Cognitive Map(FCM) and Srikant and Agrawal's association rule extraction method were proposed for extracting implicit causal knowledge from database. Fuzzy association rules are well suited for the thinking of human subjects and will help to increase the flexibility for supporting users in making decisions or designing the fuzzy systems. It integrates fuzzy set concept and causal knowledge-based data mining technologies to achieve this purpose. The proposed mechanism consists of three phases: First, adaptation of the fuzzy membership function to the database. Second, extraction of the fuzzy association rules using fuzzy input values. Third, building the causal knowledge base. A credit example is presented to illustrate a detailed process for finding the fuzzy association rules from a specified database, demonstration the effectiveness of the proposed algorithm.

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CONSTRUCTABILITY IMPLEMENTATION MODEL USING DEPENDENCY STRUCTURE MATRIX

  • Youngjib Ham;Moonseo Park;Hyun-Soo Lee
    • 국제학술발표논문집
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    • The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
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    • pp.550-555
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    • 2011
  • Utilizing construction knowledge and experiences in design phase can reduce change orders and improve productivity in construction phase. To do so, information must be made available to the design team in time. Current approaches for effective utilization of constructability knowledge, however, only focus on the formalization of constructability knowledge such as a checklist, which lacks the consideration of the appropriate use at the proper point in time. The inadequate use of constructability knowledge can result in unnecessary reworks. To deal with this problem, the design team needs to know what constructability knowledge is required for specific design activities in the design process. This paper presents a constructability implementation model using the dependency structure matrix (DSM) that focuses on information flows between design activities and constructability knowledge. For this objective, design activities in the design process are modeled in a matrix form based on their dependency. Then, constructability knowledge, which needs to be considered in the design stage, is mapped into activities and incorporated into the matrix, creating Constructability-DSM (C-DSM). Next, the partitioning algorithm is applied to C-DSM for optimal information flow. The Partitioned C-DSM is then analyzed based on the relationship between activities. Finally, the optimal utilization of construction knowledge in the design process is determined by identifying what constructability knowledge is required for each design activity, and how and when it is reflected to design for constructability. Thus, this research can help provide robust control actions to reduce unnecessary iterative cycles in design process for efficient constructability implementation.

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The Mediating Effects of Bidirectional Knowledge Transfer on System Implementation Success

  • Kim, Jong Uk;Kim, Hyo Sin;Park, Sang Cheol
    • Asia pacific journal of information systems
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    • 제25권3호
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    • pp.445-472
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    • 2015
  • Although knowledge transfer between two different parties occurs in IS development projects, the majority of prior studies focused on knowledge transfer from IT consultants to clients. Considering two parts of knowledge transfer in IS development projects, we must consider both 'where knowledge is transferred from' and 'where it is transferred to'. Therefore, in this study, we attempt to describe two different routes of knowledge transfer, such as knowledge transfer from an IT consultant to a client and knowledge transfer from a client to an IT consultant. In this regard, we have examined the effect of two different routes of knowledge transfer on system implementation success in IS development project. Specifically, we adopted the knowledge stock-flow theory to examine the causal relationship between IT consulting firms and clients in terms of knowledge transfer and eventual system implementation success. Survey data collected from 213 pairs of individuals (both clients and IT consultants) were used to test the model using three different analytic approaches such as PLS (partial least squares) and two types of mediated regression techniques. We found that knowledge transfers partially mediated both the relationships between IT consultants' IT skills (project members' business knowledge) and system implementation success. Furthermore, the effects of each knowledge transfer were distinguished by depending on the types of system, such as ERP or groupware. Our attempts have significant implications for both research and practice given the importance of effective knowledge transfer to IT consulting.

지식관리시스템에서의 지식공유에 대한 영향요인과 성과간의 구조적 관계에 관한 연구 (The Structural Relationships between the Antecedents of Knowledge Sharing and User Performance in Knowledge Management systems)

  • 신선진;공희경;고준
    • 지식경영연구
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    • 제9권2호
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    • pp.87-107
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    • 2008
  • The knowledge society has come to where the knowledge is the source of wealth contrary to the traditional era that labor and capital were the source of wealth. Thus, corporate is accelerating to introduce the knowledge management and to establish the knowledge management system (KMS) in order to effectively manage the knowledge that can be the source of their competitiveness. The purpose of this paper is to identify the factors which affect knowledge sharing and to prove empirically their relationships with the KMS performance. A survey was conducted and data were collected from 220 respondents of 19 organizations which have adopted KMS. Research model and related hypotheses were tested using PLS Graph 3.0. As a result of data analysis, seven hypotheses out of eleven hypotheses were supported. In particular, knowledge sharing is significantly influenced by those knowledge sharing factors such as openness, trust, training, reward system, perceived usefulness, and communication channel. Also, individual impact is significantly affected by knowledge sharing. This study is expected to provide a sound basis for understanding the importance of knowledge sharing to gain organizational as well as individual competitiveness and exploring ways to effectively share knowledge through enhancing the use of KMS in organizations.

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지식관리혁신의 동화를 위한 지식의 축척과 흐름의 관점 (A Knowledge Stock and Flow Perspective for the Assimilation of Knowledge Management Innovation)

  • 이재남;최병구
    • 지식경영연구
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    • 제11권5호
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    • pp.1-23
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    • 2010
  • In order to provide a better understanding about the phenomenon of KM assimilation, this study attempts to conceptually develop and empirically compare two different models: (1) the first model, which considers the KM process as the flow of knowledge that plays an intervening role between knowledge stocks (i.e., knowledge worker, technical knowledge infrastructure, external knowledge linkage, knowledge strategy, and internal knowledge climate) and the level of KM assimilation; and (2) the second model is a simple direct effect formulation without any distinction between knowledge stock and flow. These two models were then tested and compared using the responses of 187 Korean organizations that had already implemented enterprise-wide KM systems. The findings indicate that the two models are useful in explaining successful KM assimilation. However, the first causal model with the distinction between knowledge stock and flow assesses the effectiveness of KM more accurately than the second model without the distinction. Interestingly, the KM process was shown to be the most critical factor for the proliferation of KM activities across an organization. The findings of this study are expected to serve not only as early groundwork for researchers hoping to understand KM and its effective assimilation in organizations, but should also provide practitioners with guidelines as to how they can enhance their KM assimilation level so as to improve their organizational performance.

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학습기대와 지식공유 지각이 사용자 만족과 지속사용에 미치는 영향 (Effects of Learning Expectation and Perceived Knowledge Sharing on User Satisfaction and IS Continuance)

  • 김인찬;백승령
    • 한국정보시스템학회지:정보시스템연구
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    • 제28권4호
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    • pp.377-401
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    • 2019
  • Purpose The purpose of this study is to investigate the effects of learning expectation and perceived knowledge sharing on user satisfaction and IS continuance in the Korean Army which is currently using the Regiments' Information System to help their Integrated Administration Management. Based on both the Information System(IS) Continuance Model and IS Success Model, this study also examine the role of system quality on user satisfaction. We develop a research model(structural equation model) and its hypotheses that learning expectation, perceived knowledge sharing, and system quality increase users' satisfaction, which leads to IS continuance. The effect of learning expectation on perceived knowledge sharing is also hypothesized. Design/methodology/approach Online Survey using e-mails was administered to test our research model and associated hypotheses. Among the 360 e-mail letters including our survey questionnaire, 285 responses were collected via e-mails. Meaningful 225 cases were analyzed for our study. SPSS Statistics 24.0 and SmartPLS 3.0 were used to analyze both measuremant test and hyotheses test by using the data set. Findings Survey results show that learning expectation(confirmation variable), learning expectation, perceived knowledge sharing(a perceived usefulness variable), and system quality(a system characteristic) each increases user satisfaction, which leads to IS continuance, under the control of the effect of habit to use information systems. Learning expectation also has a positive influence on perceived knowledge sharing. Theoretical and practical implications are presented.

Effects of Simulation on Nursing Students' Knowledge, Clinical Reasoning, and Self-confidence: A Quasi-experimental Study

  • Kim, Ji Young;Kim, Eun Jung
    • 성인간호학회지
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    • 제27권5호
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    • pp.604-611
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    • 2015
  • Purpose: Knowledge, clinical reasoning, and self-confidence are the basis for undergraduate education, and determine students' level of competence. The purpose of this study was to assess the effects of the addition of a one-time simulation experience to the didactic curriculum on nursing students' knowledge acquisition, clinical reasoning skill, and self-confidence. Methods: Using a quasi-experimental crossover design consisted of intervention and wait-list control groups. Participants were non-randomly assigned to the first intervention group (Group A, n=48) or the wait-list control group (Group B, n=46). Knowledge level was assessed through a multiple choice written test, and clinical reasoning skill was measured using a nursing process model-based rubric. Self-confidence was measured using a self-reported questionnaire. Results: Results indicated that students in the simulation group scored significantly higher on clinical reasoning skill and related knowledge than those in the didactic lecture group; no difference was found for self-confidence. Conclusion: Findings suggest that undergraduate nursing education requires a simulation-based curriculum for clinical reasoning development and knowledge acquisition.

Mathematical Knowledge Construction in Computer Based Learing

  • Lee, Joong-Kwoen
    • 한국수학교육학회지시리즈D:수학교육연구
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    • 제5권1호
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    • pp.13-24
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    • 2001
  • Using computer technology in teaching school mathematics creates new instructional environments. The emphases on the use of computer technology in the classrooms and in particular the use of computer-based exploration as a context of mathematics instruction have been reflected in the recommendation of the NCTM (Curriculum and Evaluation Standards for School Mathematics, 1989). Although the power of using computer technology in the exploration of mathematical problems has been recognized and stressed by many educators, we do not have many research studies on mathematics in computer-based explorations. Especially research has failed to clarify how computer technology can contribute to the construction of procedural and conceptual knowledge of mathematics. Up to now most researches on procedural and conceptual knowledge in computer environments have only focused on classifying programming languages which program language has more random access and rich interrelationship characteristic in relation to conceptual knowledge in humans, and which computer language has more characteristic flavor of procedural knowledge. How computer-based explorations affect the knowledge construction of mathematics, therefore, emerges as an issue of research on teacher education program for theoretical framework. This situation leads to do research on the effectiveness of using computer explorations in pre-service teacher education in terms of procedural and conceptual knowledge construction.

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The Effect of Dementia Club Activity on College Life Satisfaction, Dementia Knowledge, and Dementia Attitude in Nursing Students

  • Park, Young-Sun;Jee, Young-Ju
    • 한국응용과학기술학회지
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    • 제37권6호
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    • pp.1475-1488
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    • 2020
  • This is a quasi-experimental study with one-group pretest-posttest design to investigate the effect of dementia club activities on college life satisfaction, dementia knowledge, and dementia attitude in nursing students. The subjects were 26 nursing students who participated in club activities for more than three hours per a week. The college life satisfaction was measured using School Life Satisfaction Scale and dementia knowledge was measuring using Questionnaire for Awareness of Dementia used in dementia prevalence survey. Dementia Attitude Scale (DAS) was used to measure dementia attitude. The tests were performed before and after club activity, and collected data were analyzed using descriptive statistics and paired sample t-test. The results showed that the scores of college life satisfaction (t=-2.38, p= .025), dementia knowledge (t=-5.56, p< .001), dementia attitude social comfort that evaluate emotion, behavior, and awareness about dementia (t=-4.50, p< .001), dementia attitude dementia knowledge (t=-2.59, p= .016), and dementia attitude total score (t=-4.20, p< .001) increased statistically significantly after club activity. It is concluded, based on the results, that the club activities in college improve college life satisfaction, dementia knowledge, and dementia attitude thus provide contribute to caring for patients with dementia. The replication studies with larger random samples, however, are necessary to confirm the findings obtained from this study.