• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.26 no.3
• /
• pp.347-354
• /
• 2022

To reduce forgetfulness in continuous learning, in this paper, we propose an improved LwF model based on the knowledge transfer method, and we show its effectiveness by experiment. In LwF, if the domain of the learned data is different or the complexity of the data is different, the previously learned results are inaccurate due to forgetting. In particular, when learning continues from complex data to simple data, the phenomenon tends to get worse. In this paper, to ensure that the previous learning results are sufficiently transferred to the LwF model, we apply the knowledge transfer method to LwF, and propose an algorithm for efficient use. As a result, the forgetting phenomenon was reduced by an average of 8% compared to the existing LwF results, and it was effective even when the learning task became long. In particular, when complex data was first learned, the efficiency was improved more than 30% compared to LwF.

• Korean Parent-Child Health Journal
• /
• v.8 no.1
• /
• pp.23-36
• /
• 2005

Purpose: The purpose of this study was to determine the effect of an education program promoting attitude, knowledge, and practice of safety for teachers in child care centers. Method: This education was provided at one public health center in Kyunggi Province. One group pretest-post test design was used, and knowledge on safety and emergency care, practice of safety, health belief and self confidence on safety practice were assessed from 74 teachers. Theoretical framework for this program was Pender's health promotion model. Result: After two hours group education session on safety management, knowledge on safety and emergency care was significantly increased and perception on the main cause of injuries was significantly changed. Practice on safety was significantly related to the knowledge, health belief and confidence on safety, and social support. Conclusion: The education program for teachers in child care centers regarding the child safety and emergency care was effective in promoting knowledge and perception on the main cause of injuries of infants.

• Proceedings of the Computational Structural Engineering Institute Conference
• /
• 2007.04a
• /
• pp.731-736
• /
• 2007

Ubiquitous computing is a model of computing in which computer functions are integrated into everyday life, providing services and information in anywhere and anytime fashion. Augmented Reality is one of ubiquitous computing technologies to provide new paradigm utilized to interact between human and computer. By adding computer-generated non-visual information to real information and their interaction. user can get the improved and more knowledgeable information about real world. The purpose of this paper is the integration of AR and knowledge-base reasoning technology in ubiquitous computing. Through the introduced concept, it is enable to provide adequate knowledge in the process of ship design and manufacturing easily (Knowledge Everywhere). That is, this is a basic research to construct knowledge-based ubiquitous environment (KAD/KAM) in shipbuilding industry.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.12 no.6
• /
• pp.549-553
• /
• 2002

This paper develops knowledge-based multiple fuzzy rules for researcher-selection by automatic ranking process. Inference rules for researcher-selection are created, then the multiple fuzzy rule system with max-min inference is applied. The way to handle for selection standards according to a certain criteria in dynamic manner, is also suggested in a simulation model. The model offers automatic, fair, and trust decision for researcher-selection processing.

• Journal of information and communication convergence engineering
• /
• v.7 no.4
• /
• pp.539-544
• /
• 2009

An estimation of 3D velocity field including occluded parts without maxing tracer to the fluid had not only never been proposed but also impossible by the conventional computer vision algorithm. In this paper, we propose a new method of three dimensional optical flow of the fluid based on physical model, where some boundary conditions are given from a priori knowledge of the flow configuration. Optical flow is obtained by minimizing the mean square errors of a basic constraint and the matching error terms with visual data using Euler equations. Here, Navier-Stokes motion equations and the differences between occluded data and observable data are employed as the basic constrains. we verify the effectiveness of our proposed method by applying our algorithm to simulated data with partly artificially deleted and recovering the lacking data. Next, applying our method to the fluid of observable surface data and the knowledge of boundary conditions, we demonstrate that 3D optical flow are obtained by proposed algorithm.

• Journal of the Korean Society for Railway
• /
• v.9 no.3 s.34
• /
• pp.330-334
• /
• 2006

To maintain design-knowledge database and manage configuration for requirement of performance tests and safety standards of High Speed Railway(HSR), It is established that management system of performance tests and safety standards and then constructed that design-knowledge database and documented a performance test and safety specifications for supporting performance test and safety system using Model-Based Systems Engineering(MBSE) tool.

• Management Science and Financial Engineering
• /
• v.5 no.1
• /
• pp.27-49
• /
• 1999

WebME is an Web-based integrated modeling environment that implements a multi-facetted modeling approach to mathematical model representation and management. Key features of WebME include the following: (i) sharing of modeling knowledge on the Web, (ii) a user-friendly interface for creating, maintaining, and solving models, (iii) independent management of mathematical models from conceptual models, (iv) object-oriented conceptual blackboard concept, (v) multi-facetted mathematical modeling modeling, and (vi) declarative representation of mathematical knowledge. This paper presents details of design and implementation issues that were encountered in the development of WebME.

• Proceedings of the Korean Institute of Intelligent Systems Conference
• /
• 1993.06a
• /
• pp.1137-1140
• /
• 1993

A dynamic-structure system is one that has the flexibility to change the system configuration automatically so as to operate in an optimal manner. A conceptural model for a dynamic-structure system is presented in this paper. In this model, the interchangeable components of the overall system are grouped together. Their activity levels are evaluated by an intelligent preprocessor that is associated with the group. A knowledge-based task distribution system evaluates the activity levels and makes decisions as to how the components operating below capacity should be shared with workcells that have similar components that are overloaded. Associated decision making can be effected through fuzzy logic and particularly the compositional rule of inference. A simulation example is given to illustrate the application of dynamic structuring.

• Journal of the Korean Society for Precision Engineering
• /
• v.13 no.10
• /
• pp.112-122
• /
• 1996

In order to monitior machine tool condition and diagnose alarm states due to electrical and mechanical faults, and expert system using diagnostic parameters of NC machine tools was developed. A model-based knowledge base was constructed via searching and comparing procedures of diagnostic parameters and state parameters of the machine tool. Diagnostic monitoring results generate through a successive type inference engine were graphically displayed on the screen of the console. The validity and reliability of the expert system was rcrified on a vertical machining center equipped with FANUC OMC through a series of experiments.

• The Korean Journal of Rehabilitation Nursing
• /
• v.19 no.1
• /
• pp.64-70
• /
• 2016

Purpose: The purpose of this study was to identify awareness and knowledge about hepatitis B virus (HBV) infection among North Korean immigrants who had resided in South Korea. Methods: This was a cross-sectional, community based study. Data were collected from a convenience sample of 198 North Korean immigrants aged 18 years old through 65 years old among those who had attended community centers, local churches, and gathering places in four cities. The questionnaire included 15 items about participants' knowledge on HBV infection and its consequences, mode of transmission, and preventive measures. Results: The mean score of HBV knowledge was $6.3{\pm}3.8$ (range 0~15). The items that over 60% of the respondents checked correct answer regarding knowledge about HBV were 'There is blood screening for hepatitis B infection', 'Hepatitis B can be transmitted through sharing needles with infected person'. Multivariate analysis showed that received education for the prevention of HBV infection and disease morbidity were significantly associated with the knowledge of HBV infection. Overall, approximately 11% of total variability in the knowledge of HBV infection could be explained by the 2 variables in this model ($R^2=.109$, p<.001). Conclusion: The results showed that North Korean immigrants need more education on HBV infection and prevention to improve their knowledge about HBV.