• Journal of Korean Society of Industrial and Systems Engineering
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• v.33 no.3
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• pp.102-113
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• 2010

In this research, we proposed a quality evaluation standard model which is suitable for the internet shopping mall based on the Malcolm Baldrige National Quality Award model. A 7-Point Likert Scale was used based on the seven categories within the 2008 Malcolm Baldrige Criteria : Leadership, Strategic Planning, Customer and Market Focus, Measurement Analysis and Knowledge Management, Workforce Focus, Process Management, and Result. Furthermore, we analysed the validity and causal relationship among the factors within the model. The goal of this research is to find a rational standard to evaluate internet shopping malls nationwide and help the structuring and the operation of these malls. The results may be used not only as a tool to evaluate internet shopping mall sites but also as a guideline to improve the quality of a internet shopping mall site that is under development.

• International Journal of Contents
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• v.15 no.1
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• pp.58-63
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• 2019

The objective of this study was to explore a specific method and strategy for 'Global Leadership Program Model' in order to enhance global leadership, which will emphasize the aspect of open mind and attitude toward diversity, cross-culture, communication, and global manner. This research explored the concept and characteristics of global leadership and competency based education, and analyzed effectiveness of satisfaction and participation on global leadership programs implemented in K University and analyzed the learners' recognition on the experience. Also, the research integrated the values of global leadership with the strategies of competency-based education, and finally developed 'Global Leadership Program Model'. As a result, 'Global Leadership Program Model' might be able to help students use knowledge and skill in various contexts, and serve in the community with responsibility. It is expected that students could be facilitated to perform task and role communicating with others, and they might know exactly what learning outcome they are required to establish and what standard is used to evaluate the performance, so that this environment might motivate them and encourage them to follow the learning process more effectively.

• Journal of the Korean Society for information Management
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• v.24 no.3
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• pp.299-319
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• 2007

Recently, information portals, national institutions, and integrated information centers, which are eager to acquire quality contents, actively share contents. Korean national knowledge is recognized to be superior in terms of its specialty and reliability. Currently, the distribution of national knowledge in Korea is at the beginning stage as the content sharing was intended to enhance the users' accessibility to the information and ease of information use. In this study, we identified the national knowledge distribution status in Korea and abroad by analyzing the roles of the information providers, information search portals, and Korea Knowledge Portal. We also conducted in-depth interviews with six experts, who represent academic institutions, libraries, specialized information centers, and commercial ventures. To enable effective Korean national knowledge distribution, we generated suggestions for the respective information providing services to share and cooperate based on the analysis and tile Interviews.

• Journal of KIISE
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• v.45 no.2
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• pp.134-140
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• 2018

A chat system is a computer program that understands user's miscellaneous utterances and generates appropriate responses. Sometimes a chat system needs to answer users' simple information-seeking questions. However, previous generative chat systems do not consider how to embed knowledge entities (i.e., subjects and objects in triple knowledge), essential elements for question-answering. The previous chat models have a disadvantage that they generate same responses although knowledge entities in users' utterances are changed. To alleviate this problem, we propose a knowledge entity embedding method for improving question-answering accuracies of a generative chat system. The proposed method uses a Siamese recurrent neural network for embedding knowledge entities and their synonyms. For experiments, we implemented a sequence-to-sequence model in which subjects and predicates are encoded and objects are decoded. The proposed embedding method showed 12.48% higher accuracies than the conventional embedding method based on a convolutional neural network.

• Journal of information and communication convergence engineering
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• v.8 no.1
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• pp.89-94
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• 2010

The most important of rule-base system is the knowledge base that determines the power of rule-base system. The important form of this knowledge is how to descript kinds of rules. The Rule-Base System (RBS) has been using in many field that need reflect quickly change of business rules in management system. As far, when develop the Rule-Based System, we must make a rule engine with a general language. There are three disadvantage of in this developed method. First, while there are many data that must be processed in the system, the speed of processing data will become very slow so that we cannot accept it. Second, we cannot change the current system to make it adaptive to changes of business rules as quickly as possible. Third, large data make the rule engine become very complex. Therefore, in this paper, we propose the two important methods of raising efficiency of Rule-Base System. The first method refers to using the Relational database technology to process the rules of the Rule-Base System, the second method refers to a algorithm of according to Quine McCluskey formula compress the rows of rule table. Because the expressive languages of rule are still remaining many problems, we will introduce a new expressive language, which is Rule-Base Data Model short as RBDM in this paper.

• Hwankyungkyoyuk
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• v.12 no.1
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• pp.378-390
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• 1999

The purpose of this study is to investigate what are objects in environmental education and to develop the teaching model for environmental education. The major objects of environmental education is how to teach students who not only take knowledge/skill, but also change their behavior with responsibility for environment. In order to change students' behaviors for environment, Hungerford recommended that teachers have teaching strategies with recognition, evaluation, and adaptation. Also, McCarthy developed teaching model to engage immediate personal meaning, to raise intellectual awareness of a concept, to enhance skills that students can use in their lives, and to foster personal adaptations. Based on the Hungerford's teaching strategies, and Mccarthy's 4MAT system, a teaching model is developed to encourage thinking skill, problem-solving ability, interesting, and participation in the class. The basic steps of the teaching model in this study are experience/recognition, knowledge/skill, evaluation, and adaptation/new experience and 8 sub-steps for instructional methodologies are developed to match of all students' learning style types in a classroom. This model will make it possible to raise the efficiency of instruction, and contribute to changing students who have responsibilities for their environmental behaviors. This model will be supplemented in schools, and applied to developing other instructional issues.

• Journal of Internet Technology
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• v.22 no.4
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• pp.903-911
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• 2021

As cyber-attacks on Cyber-Physical System (CPS) become more diverse and sophisticated, it is important to quickly detect malicious behaviors occurring in CPS. Since CPS can collect sensor data in near real time throughout the process, there have been many attempts to detect anomaly behavior through normal behavior learning from the perspective of data-driven security. However, since the CPS datasets are big data and most of the data are normal data, it has always been a great challenge to analyze the data and implement the anomaly detection model. In this paper, we propose and evaluate the Clustered Deep One-Class Classification (CD-OCC) model that combines the clustering algorithm and deep learning (DL) model using only a normal dataset for anomaly detection. We use auto-encoder to reduce the dimensions of the dataset and the K-means clustering algorithm to classify the normal data into the optimal cluster size. The DL model trains to predict clusters of normal data, and we can obtain logit values as outputs. The derived logit values are datasets that can better represent normal data in terms of knowledge distillation and are used as inputs to the OCC model. As a result of the experiment, the F1 score of the proposed model shows 0.93 and 0.83 in the SWaT and HAI dataset, respectively, and shows a significant performance improvement over other recent detectors such as Com-AE and SVM-RBF.

• Educational Technology International
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• v.7 no.2
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• pp.93-106
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• 2006

The knowledge-based society increasingly demands professionals possessing essential knowledge, and the ability to use this knowledge effectively in their work settings. In response to the requirement for these professionals, PBL is a promising educational method. This paper suggests an educational development program for faculty to implement problem-based learning(PBL). To implement PBL at the higher educational level, there is a need for a systemic approach. First, a well-designed educational plan for PBL is necessary. Before implementing PBL, both the instructor and the students should be prepared. Faculty members should be well informed on the characteristics of PBL, effective tutoring or facilitation skills, and how to design problems reflecting features of their own academic subject areas. Students also have to know the characteristics of PBL. Both of these groups need to be trained through workshops rather than through lectures. Second, a phase of design and implementation of PBL is necessary. PBL methods may seem to be intuitive and even unstructured because a problem is, in nature, unstructured and authentic. However, a closer look at PBL reveals that it is complex, carefully designed, and highly structured activity. Therefore, if it is poorly and incompletely designed, PBL can be a frustrating and exhausting experience for students and faculty members. Well-designed PBL can be an exhilarating and rewarding experience for both of them. Third, a phase of sharing PBL experiences is important: faculty members who have implemented PBL are required to share their experiences to help others enhance tutoring skills, and acquire practical information of students, contents, and what happened during PBL, and to develop PBL model in a specific domain. Based on the developed PBL model in a specific domain, PBL can be expanded and stabilized at the university level.

• International Journal of Advanced Culture Technology
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• v.12 no.3
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• pp.336-344
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• 2024

The purpose of this study is to analyze the need of college students for experiential learning, collaborative learning, and enquiry-based learning. To achieve this goal, a survey was conducted with 308 college students. The need for experience, collaboration, and enquiry-based learning was comprehensively analyzed through t-tests, Borich needs analysis, and priority determination using The Locus for Focus model. The research findings are as follows: First, in Borich need analysis, the highest needs were identified for deep learning, self-directed learning, connecting theoretical knowledge with practical application, immersion, and application to real-life situations. Second, in The Locus for Focus model, the highest needs were found for abstract conceptualization, interest, conflict management, self-directed learning, and curiosity. In summary, since self-directed learning showed the highest priority simultaneously in Borich need analysis and The Locus for Focus model, it should be considered as the most prioritized item.

• Journal of the Korean Operations Research and Management Science Society
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• v.19 no.3
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• pp.15-40
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• 1994

We designed a knowledge-based decision support system for structuring semi-or unstructured problems. Problem structuring involves extraction of the relevant factors from the identified problem, and model construction that represents the relationships among those factors. In this research, we employed a directed graph called Influence Deiagram as a tool for problem structuring. In particular, our proposed system is designed as a shell. Therefore, a decision maker can change the content of the knowledge base to suit his/her own interested domain.