• The KIPS Transactions:PartD
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• v.14D no.1 s.111
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• pp.139-144
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• 2007

In seeking to improve the workload efficiency and inference capability of context-aware systems, we propose a new framework for an advanced teaming mechanism that uses improved bath propagation (BP) algorithm. Even though a learning mechanism is one of the most important parts in a context-aware system, the existing algorithms focused on facilitating systems by elaborating the learning mechanism with user's context information are rare. BP is the most adaptable algorithm for learning mechanism of context-aware systems. By using the improved BP algorithm, the framework we proposed drastically improves the inference capability so that the overall performance is far better than other systems. Also, using the special system cache, the framework manages the workload efficiently. Experiments show that there is an obvious improvement in overall performanre of the context-awareness systems using the proposed framework.

• Journal of the Korean School Mathematics Society
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• v.10 no.1
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• pp.45-69
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• 2007

In the 21st century, knowledge-based and information-based society requires not just the capability of applying mathematics simply but mathematical power such as problem-solving ability which composes and solves problems using mathematical knowledge in real-life and fields of various subjects. However, to develop mathematical power, we need various teaching and learning methods which raise basic mathematical knowledge, the inference capability, problem- solving ability, the flexibility of thinking, the expressing and transforming ability of mathematical ideas, perseverance, interest, intellectual curiosity, and creativity. In this paper, we develop the teaching-learning plans based on real life using the various methods of learning and then we analyze the change of students's cognition of mathematics and the students's reaction of the class.

• Korea Journal of Hospital Management
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• v.18 no.4
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• pp.54-77
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• 2013

This paper is a comparison study about leadership training transfer factors between physicians working in large scale hospitals and managers working in firms. To fulfill this purpose, this study conducted a regression analysis on 101 managers and 59 physicians who had attended similar leadership training programs more than 16 hours recently in order to identify the differences on the learning transfer factors. 6 factors such as Learner readiness, Performance self-efficacy, (so far as Trainee Characteristics group), Organization Culture, Supervisor's tangible incentives and Supervisor's intangible support, (so far as Work environment group), Content Validity & Transfer Design (so far Training Design group) were used as independent variables while the personal Managerial Capability Increase and Leadership Capability Increase were used as dependent variables. And also we used 5 factors as control variables ; Job style (Manager or Physician), Age, Gender, Working years and Organization size. Here are the summary of major findings ; first, there were statistically significant differences between the learning transfer factors in leadership training programs for managers and those of physicians. Second, there were also statistically significant differences among trainees' working years and their organization size factors while age and gender do not affect the learning transfer factors. Third, for the physician's leadership training the practitioners should focus on two factors ; Organization Culture and Learner readiness.

• Korean Journal of Social Welfare Studies
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• v.48 no.1
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• pp.113-141
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• 2017

Child welfare centers not only protect children at the first line of community, but also perform the tasks of systematic social service by linking the various resources of community and establishing a support system for children. Making quantitative growth, child welfare centers are faced with a request for operational systemicity and professionalism in terms of quality. This study set out to investigate the effects of professional capability, psychological capital, and career-related continuous learning on the job performance among practitioners of child welfare centers. For those purposes, the study conducted a survey by mail with those who were working for child welfare centers in Busan and Gyeongnam Province from March 2 to 25, 2016. Of the collected questionnaires, 550 whose responses were sincere were used in the final analysis. The analysis results show that psychological capital had the biggest influence on the job performance among practitioners of child welfare centers. Furthermore, in the chief of child welfare centers, the more having of professional capability, the more job performance they experienced. However, in the front-line social workers, professional capability did not affect the job performance. Those results indicate that the expansion of psychological capital should be a top priority to help the practitioners of child welfare centers improve their job performance. Based on those findings, the study offered some implications for the organizational management of child welfare centers.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.3
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• pp.30-40
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• 2018

The purpose of this study is to examine the effect of project-based organizational resources on the business performance in the resource-based view (RBV) and dynamic capability one and analyze their relationship through an integrated model. The RBV argues that firms get competitive advantages when they have VRIN characterized resources but dynamic capability view argues that RBV has its limitation under volatility so it enables them to obtain competitive advantages in ever changing environments. This study analyzes data collected from 270 survey questionnaires on the project management related staff at the project-based organization among major companies in Korea. The result demonstrates that two project organizational resources on strategic and executional management with VRIN characteristics are found to bring positive effects on the organizational dynamic capabilities and also the dynamic capabilities such as integration & reconfiguration, organizational learning are verified to bring meaningful positive effects on the business performance. On the other hand, unlike previous studies, ambidexterity has quite a weak effect on the business performance. Therefore, we expect that the resources of the project-based organization with VRIN lead to strengthen the firm's business performance through organizational dynamic capabilities and produce high performance through the integrated model of RBV and dynamic capability one. The study has academic meanings that widely confirm the effects and characteristics of main elements of VRIN project organizational resources on the business performance of competitive advantage through the dynamic capabilities of the organization by the regression on the precedent studies regarding the project management resources and their relationship with the VRIO characteristics. The practical implication is that it is preferentially necessary for the organization to obtain VRIN resources and organizational dynamic capabilities, especially organizational learning to have sustainable competitive advantages.

• Journal of Korean Institute of Industrial Engineers
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• v.20 no.3
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• pp.125-137
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• 1994

Manufacturing environs constantly change, and any efficient software system to be used in manufacturing must be able to adapt to the varying situations. In a CAPP (Computer-Aided Process Planning) system, a learning capability is necessary for the CAPP system to do change along with the manufacturing system. Unfortunately only a few CAPP systems currently possess learning capabilities. This research aims at the development of a learning system which can increase the knowledge in a CAPP system. A part in the system is represented by frames and described interactively. The process information and process planning logic is represented using a decision tree. The knowledge expansion is carried out through an interactive expansion of the decision tree according to human advice. Algorithms for decision tree modification are developed. A path can be recommended for an unknown part of limited scope. The processes are selected according to the criterion such as minimum time or minimum cost. The decision tree, and the process planning and learning procedures are formally defined.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.09a
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• pp.480-483
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• 2003

We propose a new framework that aims at multi-purpose image recognition, a difficult task for the conventional rule-based systems. This framework is farmed based on the idea of computer-based learning algorithm. In this research, we introduce the new functions of an additional learning and a knowledge reconstruction on the Fuzzy Inference Neural Network (FINN) (1) to enable the system to accommodate new objects and enhance the accuracy as necessary. We examine the capability of the proposed framework using two examples. The first one is the capital letter recognition task from UCI machine learning repository to estimate the effectiveness of the framework itself, Even though the whole training data was not given in advance, the proposed framework operated with a small loss of accuracy by introducing functions of the additional learning and the knowledge reconstruction. The other is the scenery image recognition. We confirmed that the proposed framework could recognize images with high accuracy and accommodate new object recursively.

• Journal of Information Technology Services
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• v.10 no.3
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• pp.21-30
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• 2011

Expectation for improvement of creativity and problem-solving capability has increased the creative robotics classes in the form of after-school activity in more than half of total elementary schools. While Ministry of Education, Science and Technology has promoted 'Green IT Guidelines' as a part of 'Eco-friendly Green School Development Project', the Green issues have not been considered enough in those creative robotics classes. In this paper, we would like to address the Green issues, especially in the r-Learning services based on UCR (User Created Robots). First, trend of green IT education, r-Learning services and UCR are reviewed. And the current status of eco-related operations and teachers' perception in the robotics classes of elementary schools is investigated. Examples of Green UCR are also searched and green programs based on the three kinds of UCR, UC-TR, UC-AR, UC-CR, are explored. Finally, we propose action plans to promote the UCR-based r-Learning service reflecting green issues.

• Knowledge Management Research
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• v.12 no.2
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• pp.17-34
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• 2011

As organization's success depends on how much employees are active in recognizing new knowledge and transform into organization's value, this study is to examine the influence of employees' self-directed learning capacity on organizational absorptive capacity, organizational commitment and job involvement. The study has shown that managerial level employees have high level of self-directed learning capacity, and employees who have such high level capacity also shown to have high level of absorptive capacity and organizational affective commitment and job involvement. There were static correlations between all the variables, and absorptive capacity has a complete meditated effect on each variables. Hence, in order to enhance absorptive capacity, organizations should put their effort to develop employees' self-directed learning capacity, which will not only improve individual competency but also lead to organization's success in this competitive global market.

• Journal of Institute of Control, Robotics and Systems
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• v.13 no.4
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• pp.358-364
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• 2007

Intelligent walking modeling of humanoid robot using learning based neuro-fuzzy system is presented in this paper. Walking pattern, trajectory of the zero moment point (ZMP) in a humanoid robot is used as an important criterion for the balance of the walking robots but its complex dynamics makes robot control difficult. In addition, it is difficult to generate stable and natural walking motion for a robot. To handle these difficulties and explain empirical laws of the humanoid robot, we are modeling practical humanoid robot using neuro-fuzzy system based on the two types of natural motions which are walking trajectories on a t1at floor and on an ascent. Learning based neuro-fuzzy system employed has good learning capability and computational performance. The results from neuro-fuzzy system are compared with previous approach.