• 영재교육연구
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• 제9권2호
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• pp.73-101
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• 1999

The purpose of this study was to suggest an advanced system for educating scientifically gifted children in the Center for Science Talented Education at Kyungpook National University. Several suggestions based on analysis of current identifying-process and instructional materials for scientifically gifted children were provided for advancing the educational system of the center. First, this study suggested a three-step procedure to identify procedure emphasized students reasoning skills as one of important characteristics of the gifted child. Second, this study provided an instructional model for developing hypothesis testing skills in scientifically gifted children. The model was originally based on Lawson's scientific reasoning processes and learning cycle mode. Third, this study also suggested an effective administration system of the Center for Science Talented Education. Further, this study suggested effective ways on research works for advancing the center, educating instructors, the cyber center for remote education, and international co-works for developing the gifted children's potential abilities.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2000년도 춘계공동학술대회 논문집
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• pp.330-336
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• 2000

This paper discusses the potential of system dynamics modelling to support balanced scorecard. The balanced scorecard is a conceptual framework for translating an organisation's strategy into a set of performance indicators. These performance indicators are distributed across the 'classic'model's four perspective: Customers, Internal Business Processes, Financial, and Learning and Growth. This balanced scorecard, whilst having significant strength, suffers from the limitation of all performance indicator systems, namely that the interrelationships between indicators are overlooked and there is no way of taking into account the impact of delayed feedback which flows from introduction of new policy and legislative changes. System Dynamics is a methodology for understanding complex problems where there is dynamic behaviour and where feedback impacts significantly on system outcomes. System dynamics provides a rigorous basis for qualitative testing of the effects of performance indicators in complex environments such as health or social security. This can be supplemented with quantitative system dynamics simulation tools that further test the validity of indicators and the business rules implicit in them. System dynamics modelling has an important role to play in extending feedback cycle in performance measurements to a full systems approach.

• 산업경영시스템학회지
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• 제13권22호
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• pp.71-78
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• 1990

Some problems to assess the safety of automated man-machine system are studied in many ways. The difficulty occurred in this system is the vagueness of human behavior. Fuzzy set theory is used to assess the human behavior in safety analysis. The unsafe behavior listed top 10 in accident statistics would be explained as the factors of human vagueness. Three cases are considered, which consist of man-machine system as man-man, man-machine, machine-machine types. For the design of safe task, using characteristics of work performance, each motion cycle time is required to know the rate of learning. Approach of human behavior to the standard motion means more safe motion. It is important to design the works as to minimize the time performance to the standard motion's, which utilize the control of risk potential with easy. In that process, use of fuzzy set theory is appropriate to analyze the human behavior to identify its vagueness.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2006년도 한국컴퓨터종합학술대회 논문집 Vol.33 No.1 (A)
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• pp.40-42
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• 2006

유전자 발현에 있어서의 조절작용은 유전자간의 복합적인 상호작용의 결과에 기인한다. 따라서 이러한 현상으로부터 기능적으로 연관된 유전자 군을 식별하기 위해서는 단일 유전자보다는 복수의 유전자군의 발현패턴을 대상으로 하게 된다. 이 경우 발현패턴의 시간에 따른 다양하고 복잡한 특징들은 은닉변수학습 모형을 이용하므로서 보다 명확하게 표현될 수 있고, 유사한 기능을 가진 유전자 군을 탐색 하는데에 효과적으로 이용될 수 있다. 본 논문에서 제시된 은닉변수학습 모형은 이스트 Cell Cycle 데이터에 적용한 결과 특정 조절유전자에 대하여 생물학적으로 연관된 유전자 군을 찾는 데에 다른 방법과 비교하여 효과적임을 보일 수 있었다.

• 디지털산업정보학회논문지
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• 제8권4호
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• pp.73-81
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• 2012

Web development and Internet technology development bring many kinds of works to web. This is the main reason why XML, document standard is popular. XML in web can be used to express document template or standard. XML with java can be more powerful and general. For example, XML can be used to transmit data and to print data into the screen using Ajax in JSP(Java Server Page) and to make interfaces in android, which is useful to reduce development cycle. However, XML is not easy to learn for the novice. In this paper, we propose the easy and effective way to reduce the learning curve of XML and to make and use XML documents. For the purpose, we suggest template base XML document generation and we design and implement XML document generator based on Template. XML document generator of template-based provides user interface and layout of XML document. So, users can generate XML document easily and effectively.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2014년도 추계학술대회 논문집
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• pp.84-89
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• 2014

Data-driven method for fault diagnostics system often use machine learning technique. To use such technique proper signal processing should be implemented such as time synchronous averaging (TSA) for ball bearing systems. However, for journal bearing diagnostics systems not much has been researched, and yet a proper signal processing method has not been studied. Therefore, in this research an optimal datum unit for a reliable journal bearing diagnostics system along with angular resampling process is being suggested. Before extracting time and frequency domain features, angular resampling is applied to each cycle of vibration data. As to preserve the characteristics of vibration signal, averaging method is replaced by finding the optimal datum unit which strengthens statistical characteristics of vibration signal. Then 20 features were extracted for various cases, and those features are being evaluated by two criteria, separability and classification accuracy.

• Nuclear Engineering and Technology
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• 제45권1호
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• pp.13-20
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• 2013

This paper looks at the Fukushima disaster from the perspective of resilience engineering, which replaces a search for causes with an understanding of how the system failed in its performance. Referring to the four resilience abilities of responding, monitoring, learning, and anticipating, the paper focuses on how inadequate engineering anticipation or risk assessment during the design, in combination with inadequate response capabilities, precipitated the disaster. One lesson is that systems such as nuclear power plants are complicated, not only in how they function during everyday or exceptional conditions, but also during their whole life cycle. System functions are intrinsically coupled synchronically and diachronically in ways that may affect the ability to respond to extreme conditions.

• 한국병원경영학회지
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• 제14권2호
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• pp.75-98
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• 2009

As the organizational environments are changing, organizational innovation has become a critical success factor for the healthcare organizations. Although there are lots of successful innovation cases in other industries, healthcare organization's management innovation cases are rare in Korea. This case study is focused on successful change process of a Maeumsarang psychiatric hospital. Main findings are: (a) virtuous cycle of healthcare service innovation and organizational innovation, (b) intensive training and learning, (c) usage of external resources, (d) high commitment HRM system, (e) CEO leadership, and (f) synchronization of planning and execution. Based on these findings, managerial implications are derived and future research directions are proposed.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1996년도 하계학술대회 논문집 B
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• pp.811-813
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• 1996

High impedance fault can not be easily detected by conventional method. But if it would not be detected and cleared quickly, it can result in fires, and electric shock. In this paper, neural network, which has learning capability, is used for high impedance fault detector. The potential of the neural network approach is demonstrated by simulation using KEPCO's measured data. The instantaneous values and frequency spectrum of current are respectively used as the inputs of neural networks. Also, the methods using combined data to exploit the advantage of each data are proposed. In this paper, back-propagation network(BPN) is used for high impedance fault detector and can use for high speed relay because it detects faults within 1 cycle.

• 수산해양교육연구
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• 제24권3호
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• pp.416-423
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• 2012

Smartphone and Tablet PC has become a popular. So, various location-based service applications are being made in the field of advertising, games, and search. However, the location-based services application is lacking in the field of education. Therefore, this study proposes a Location-based service application for Tablet PC, which can be take advantage in school. The application was designed with these considerations in mind. First, the application to increase the participation of the students take the form of play. Second, participating students are influencing each other. Third, through the promotion of the cycle has allowed long-term operations. This application will be used usefully in an environment that students use a individual Tablet PC through the spread of e-textbooks.