• 제어로봇시스템학회:학술대회논문집
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• 1994.10a
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• pp.638-642
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• 1994

The objectives of this work are to present the dynamic simulation strategy based on cluster-modular approach and to develop a prototype simulator. In addition, methods for the improvement of computational efficiency and applicability are studied. A process can be decomposed into several clusters which consist of strongly coupled units depending upon the process dynamics or topology. The combined approach of simultaneous and sequential simulation based on the cluster structure is implemented within the developed dynamic process simulator, MOSA(Multi Objective Simulation Architecture). Dynamic simulation for a utility plant is presented as a case study in order to prove the efficiency and flexibility of MOSA.

• Korean Journal of Health Education and Promotion
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• v.30 no.4
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• pp.17-24
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• 2013

Objectives: This paper aims to give a review on the concept, the type, and the purpose of intersectoral collaboration, to provide a framework of intersectoral collaboration, and to review the effectiveness of intersectoral collaboration. Methods: Peer-reviewed journals were searched in Pubmed using the terms of 'intersectoral collaboration,' 'multi-sector policy,' 'intersectoral partnership,' and 'cross-sector collaboration.' In total, 240 papers were identified. After reviewing the abstracts of these papers, 59 papers were chosen to be reviewed in full-text. Contents were extracted from these papers that were pertinent to the research questions. Results: Intersectoral collaboration has been advocated since Alma Ata Declaration. However, it has been largely ignored in practice. Various factors including context, support, task, team, interactional process, individual, and overarching factors can affect the success and the failure of intersectoral collaboration. Conclusions: Some strategies to facilitate intersectoral collaboration activities and future research agenda were suggested.

• Journal of Information Technology Applications and Management
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• v.15 no.1
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• pp.225-242
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• 2008

PM (Inconsistency Pattern Modeling) is a hybrid supervised learning technique using the inconsistence pattern of input variables in mining data sets. The IPM tries to improve prediction accuracy by combining more than two different supervised learning methods. The previous related studies have shown that the IPM was superior to the single usage of an existing supervised learning methods such as neural networks, decision tree induction, logistic regression and so on, and it was also superior to the existing combined model methods such as Bagging, Boosting, and Stacking. The objectives of this paper is explore the characteristics of the IPM. To understand characteristics of the IPM, three experiments were performed. In these experiments, there are high performance improvements when the prediction inconsistency ratio between two different supervised learning techniques is high and the distance among supervised learning methods on MDS (Multi-Dimensional Scaling) map is long.

• Proceedings of the KIEE Conference
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• 2002.07a
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• pp.127-129
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• 2002

This paper presents a fuzzy-GA method to resolve dispersed generator placement for distribution systems. The problem formulation considers an objective to reduce power loss costs of distribution systems and the constraints with the number or size of dispersed generators and the deviation of the bus voltage. The main idea of solving fuzzy nonlinear goal programming is to transform the original objective function and constraints into the equivalent multi-objectives functions with fuzzy sets to evaluate their imprecise nature and solve the problem using the proposed genetic algorithm, without any transformation for this nonlinear problem to a linear model or other methods. The method proposed is applied to the sample systems to demonstrate its effectiveness.

• The KSFM Journal of Fluid Machinery
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• v.14 no.5
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• pp.31-38
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• 2011

Optimization using a hybrid multi-objective evolutionary algorithm coupled with response surface approximation has been performed to improve the performance of a transonic axial compressor with circumferential casing grooves. In order to optimize the operating stability and peak adiabatic efficiency of the compressor with circumferential casing grooves, tip clearance, angle distribution at blade tip and the depth of the circumferential casing grooves are selected as design variables. Three-dimensional Reynolds-averaged Navier-Stokes equations with the shear stress transport turbulence model are discretized by finite volume approximations. The trade-off between two objectives with the interaction of blade and casing treatment is determined and discussed with respect to the representative clusters in the Pareto-optimal solutions compared to the axial compressor without the casing treatment.

• Journal of National Security and Military Science
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• s.7
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• pp.233-270
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• 2009

Serious game played with a computer in accordance with specific rules, that uses entertainment to further government or corporate training, education, health, public policy, and strategic communication objectives. The main goal of a serious game is usually to train or educate users while giving them an enjoyable experience. Serous games are video games with serious purposes such as teaching or training and whose principal aim is education. The major characteristics of serious games involve pedagogy which are all of the activities that educate, train, or instruct the player. Other characteristics of serious games are that they use entertainment principles, creativity and technology to build games that carry out serious purposes. This study is to introduce a serious game for the military training and to describe the elements of game design for developing it.

• International Journal of Control, Automation, and Systems
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• v.1 no.4
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• pp.444-452
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• 2003

An integration system with multi-measurement sets can be realized via combined application of a centralized and federated Kalman filter. It is difficult for the centralized Kalman filter to remove a failed sensor in comparison with the federated Kalman filter. All varieties of Kalman filters monitor innovation sequence (residual) for detection and isolation of a failed sensor. The innovation sequence, which is selected as an indicator of real time estimation error plays an important role in adaptive mechanism design. In this study, the centralized Kalman filter with adaptive measurement fusion is introduced by means of innovation sequence. The objectives of adaptive measurement fusion are automatic isolation and recovery of some sensor failures as well as inherent monitoring capability. The proposed adaptive filter is applied to the GPS/SDINS integration system with an additional sensor. Simulation studies attest that the proposed adaptive scheme is effective for isolation and recovery of immediate sensor failures.

• Safety and Health at Work
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• v.3 no.3
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• pp.192-198
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• 2012

Objectives: Slip and fall accidents in the workplace are one of the top causes of work related fatalities and injuries. Previous studies have indicated that fall risk was related to postural and dynamic stability. However, the usage of this theoretical relationship was limited by laboratory based measuring instruments. The current study proposed a new method for stability assessment by use of inertial measurement units (IMUs). Methods: Accelerations at different body parts were recorded by the IMUs. Postural and local dynamic stability was assessed from these measures and compared with that computed from the traditional method. Results: The results demonstrated: 1) significant differences between fall prone and healthy groups in IMU assessed dynamic stability; and 2) better power of discrimination with multi stability index assessed by IMUs. Conclusion: The findings can be utilized in the design of a portable screening or monitoring tool for fall risk assessment in various industrial settings.

• Korean Journal of Health Education and Promotion
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• v.28 no.5
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• pp.17-34
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• 2011

Objectives: The purposes of this study were to describe comprehensive health promotion policies for university students in Korea and to discuss the implications based on the socio-ecological approaches. Methods: A web-based search was performed to identify empirical programs and literature to develop health promotion policies and strategies in university settings. Results: Five domains for policy development are suggested for comprehensive health promotion policies in universities: evidence-based policy development; establishment of supportive policy through network and partnership; infrastructure of university; systems approach with education, environment, enforcement and policy tailored for universities; and sustainability for policy implementation. Conclusions: For healthy universities and students, government, community, health professionals, organizations and universities are all responsible as main agents for the five domains suggested in this study. Multi-level approaches with political, organizational and environmental changes should be sustained as an ongoing process.

• Asian-Australasian Journal of Animal Sciences
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• v.24 no.4
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• pp.573-586
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• 2011

Along with the recent changes in animal feed supply circumstances, many enzyme and probiotic feed supplements have been introduced and applied to pigs and chicken diets. Therefore, both selection of the appropriate feed supplements and their proper supplementation becomes critical to justify the supplementation. Meta-analysis was proposed as an appropriate tool to assess the large amount of relevant information. In this review, reliable data from recent publications was compounded then analyzed to determine the best practice of effective enzyme supplementation from the perspectives of animal species, age, characteristics of feed, target substrates, optimum multi enzymes combination and intended objectives. The results of the analysis suggested pratical methods of probiotic supplementation regarding intestinal microbiota, physiological limitation of probiotics, maximization of the probiotic benefit and synergism with prebiotic supplements.