• International Journal of Knowledge Content Development & Technology
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• v.8 no.2
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• pp.67-100
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• 2018

This study comprehensively draws a conclusion using factors of economic, social, and educational value and performed a survey on librarians and users to compare and analyze the difference in perception between the two groups. The result are as follows: First, Libraries had the social value not only on research and personal learning but also on establishment and vitalization of communities, provision of opportunities to share ideas between local residents and create something new, and provision of recreation to improve the residents' capability. Second, both groups evaluated the libraries' educational role and function relatively highly. In particular, the librarians scored very high for the items that the libraries' educational role was expanding, the libraries were a part of the educational system, and the libraries' value on reading and literacy was great, and the users thought that libraries had an value because they were a part of education and the educational system. Third, economic value part also obtained relatively lower scores than other values; the mean of the librarian group was 3.46 and the user group was 3.43. Among the economic values, the librarian group scored the highest for the area of economic value for local communities, and the greatest scores were given to manpower development by the users.

• Education of Primary School Mathematics
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• v.10 no.2
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• pp.141-149
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• 2007

It is undeniably important to bring up a solution capability of arithmetic word problems in the elementary mathematical education. The goal of this study is to acquire the implication for remedial instruction on arithmetic word problems solving through surveying elementary school students' difficulties in the solving of arithmetic word problems. In order to do it, this study was intended to analyze the following two aspects. First, it was analyzed that they generally felt more difficulties in which field among addition, subtraction, multiplication and division word problems. Second, with the result of the first analysis, it was examined that they solved it by imagining as which sphere of the other word problems. Also, the cause of their error on the word problem solving was analyzed by the interview. From the foregoing analyses, the following implications for remedial instruction on arithmetic word problems solving are acquired. First, the accumulation of learning deficiency must be diminished through the remedial instruction. Second, it must help students to understand the given problem and to make of what the goal of problem is. Third, it must help students to form a good habit for reading the problem and to understand the context of problem. forth, the teacher must help students to review and reflect their problem-solving processes.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.10a
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• pp.539-544
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• 1998

Generally, welding gap is a serious factor of a falling-off in weld quality among various kind of weld defect. Welding gap is created between two work piece in GMAW(Gas Metal Arc Welding) of horizontal fillet weld because surface of workpiece is not flat by cutting process. In these days, there were many attempts to detect welding gap. though we prevalently use the vision sensor or arc sensor in welding process, it is difficult to detect welding gap for improvement of welding quality. But we have a trouble to find relationship between welding gap and many welding parameters due to non-linearity of welding process. As mentioned about the various difficult problem, we can detect welding gap precisely using neural networks which are able to model non-linear function. Also, this paper was proposed real-time monitoring of weld bead shape to find effect of welding gap and to estimate weld quality. Monitoring of weld bead shape examined the correlation of welding parameters with bead eometry using learning ability of neural networks. Finally, the developed system, welding gap detecting system and bead shape monitoring system, is expected to the successful capability of automation of welding process by result of simulation.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2006.05a
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• pp.370-375
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• 2006

This paper suggests the method for estimating a partial discharge (PD) location using divide of the inside transformer as a grid. The PD location is found swiftly and economically compared with the typical method detecting a PD. The reason is that the location of PD is detected in the section. The estimation of PD location is trained using the Neural Network. JavaNNS(Java Neural Network Simulator) and SNNS(Stuttgart Neural Network Simulator) are used for searching the location of PD. The simulation procedure is following, The transformer is assumed that the case is a regular hexahedron. The sensor is installed in a proper location. A section of PD location is set as a target, and training set is studied with several PD locations in the inside of the transformer. As a result of training process, the learning capability of neural network is excellent. The PD location is detected by division of internal structure of transformer and application of neural network.

• The Transactions of the Korea Information Processing Society
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• v.4 no.11
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• pp.2780-2785
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• 1997

Although KBANN(knowledge-based artificial neural network) has been shown to be more effective than other machine learning algorithms, KBANN doesn't have the theory refinement capability because the topology of the network can't be altered dynamically. Although TopGen algorithm was proposed to extend the ability of KABNN in this respect, it also had some defects due to the connection of hidden nodes from all input nodes and the use of beam search. An algorithm, which could solve this TopGen's defects by adding the hidden nodes connected from only related input nodes and using hill-climbing search with backtracking, is proposed.

• Journal of Institute of Control, Robotics and Systems
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• v.11 no.2
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• pp.127-136
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• 2005

In this paper, a new architecture and comprehensive design methodology of genetically optimized Rule-based Fuzzy Polynomial Neural Networks(gRFPNN) are introduced and a series of numeric experiments are carried out. The architecture of the resulting gRFPNN results from asynergistic usage of the hybrid system generated by combining rule-based Fuzzy Neural Networks(FNN) with polynomial neural networks (PNN). FNN contributes to the formation of the premise part of the overall rule-based structure of the gRFPNN. The consequence part of the gRFPNN is designed using PNNs. At the premise part of the gRFPNN, FNN exploits fuzzy set based approach designed by using space partitioning in terms of individual variables and comes in two fuzzy inference forms: simplified and linear. As the consequence part of the gRFPNN, the development of the genetically optimized PNN dwells on two general optimization mechanism: the structural optimization is realized via GAs whereas in case of the parametric optimization we proceed with a standard least square method-based learning. To evaluate the performance of the gRFPNN, the models are experimented with the use of several representative numerical examples. A comparative analysis shows that the proposed gRFPNN are models with higher accuracy as well as more superb predictive capability than other intelligent models presented previously.

• Journal of vocational education research
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• v.33 no.3
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• pp.1-17
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• 2014

The purposes of this research are to analysis and diagnosis the actual condition of vocational ability development training for juveniles delinquent occupational capability development of juveniles who are assorted as a socially disadvantaged group and to suggest the remedies for their successful return to normal social life. In order to accomplish these purpose of the research, we involved in vocational training teachers(23) and trained for more a month to juvenile delinquents(533) such as surveys. Both of them focused on improvement of strengthen for vocational training, complementary learning of juvenile delinquents and securing experts.

• Structural Engineering and Mechanics
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• v.71 no.6
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• pp.739-749
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• 2019

This article deals with the application of reliability analysis for determining the safety of simply supported beam under the uniformly distributed load. The uncertainties of the existing methods were taken into account and hence reliability analysis has been adopted. To accomplish this aim, Generalized Regression Neural Network (GRNN), Extreme Learning Machine (ELM) and Gaussian Process Regression (GPR) models are developed. Reliability analysis is the probabilistic style to determine the possibility of failure free operation of a structure. The application of probabilistic mathematics into the quantitative aspects of a structure and improve the qualitative aspects of a structure. In order to construct the GRNN, ELM and GPR models, the dataset contains Modulus of Elasticity (E), Load intensity (w) and performance function (${\delta}$) in which E and w are inputs and ${\delta}$ is the output. The achievement of the developed models was weighed by various statistical parameters; one among the most primitive parameter is Coefficient of Determination ($R^2$) which has 0.998 for training and 0.989 for testing. The GRNN outperforms the other ELM and GPR models. Other different statistical computations have been carried out, which speaks out the errors and prediction performance in order to justify the capability of the developed models.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.257-269
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• 2021

Intellectual capital is becoming a crucial factor for a firm's long-term profit and performance in the knowledge-based economy as more firms identify their core competence as invisible assets rather than visible assets (Itami, 1987). The company was encouraged to measure financial and non-financial factors, including the customer perspective groups, the internal business process, learning and growth perspective, then to link all these measurements in a coherent system. This paper seeks to investigate the influence of intellectual capital elements on company performance, as well as the relationship among intellectual capital elements from a cause-effect perspective. Resource-Based View (RBV) considers intellectual capital as resource and capability to sustain competitive advantage on company performance. The partial least squares approach is used to examine listed banks in Indonesia Stock Exchange for year 2017-2019. Results show that human capital directly has positive influences on innovation capital, customer capital, and process capital. Innovation capital has positive, but less significant influence on process capital, which in turn influences customer capital. Human capital and process capital also influence customer capital. Finally, customer capital contributes to performance. This study helps management to identify relevant intellectual capital elements as competitive advantage and their indicators to enhance business performance.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.933-935
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• 2013

국내 시스템 구축(System Integration) 및 유지보수(System Maintenance) 사업은 긴 사업 기간과 함께 하나의 사업을 다양한 업체와 함께 협력하여 개발을 하며 운영되고 있다. 이 중 대형 IT서비스업체는 컨설팅 및 제안을 통해 고객의 업무와 요구사항을 파악하며, 프로젝트를 이끌기 위해 방법론을 적용하여 사업 체계 관리 및 운영을 주로 담당한다. 그런데 이와 같은 관리 위주의 사업을 진행함으로써 임직원들의 개발 역량 부족 문제가 발견되고, 이것은 시스템에 대한 이해도 부족으로 다양한 업체와 협력하는데 있어 커뮤니케이션 문제로 직결되어 시스템의 품질 및 결함에 영향을 주기 때문에 이에 대한 대책 및 예방활동이 필요하다. 또한, 작은 국내 시장에서는 이미 경쟁이 심화 되어 포화 되었으며, 대부분의 IT서비스기업은 SI사업에서 솔루션사업으로 변모하기 위해 노력 중이고 국내 시장에서 해외 시장으로 눈을 돌리고 있으므로 직원들에 대한 기술 역량이 시급한 실정이다. 이와 같은 상황에 기업은 준비가 미흡할 뿐만 아니라 해당 활동을 수행하기 위한 필요한 지식 및 방법을 익히는데 어려움이 있는 상황이다. 본 논문에서는 이러한 상황을 극복하기 위해 대형 IT서비스업체에서 진행된 개발역량강화 학습조직 적용 사례에 대해 소개를 하고, 이에 대한 효과 검증을 해보고자 한다.