• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2016.05a
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• pp.285-286
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• 2016

We aim to propose the prediction modeling method of ship's position with extracting ship's trajectory model through pattern recognition based on the data that are being collected in VTS centers at real time. Support Vector Machine algorithm was used for data modeling. The optimal parameters are calculated with k-fold cross validation and grid search. We expect that the proposed modeling method could support VTS operators' decision making in case of complex encountering traffic situations.

• Journal of Korean Society for Quality Management
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• v.44 no.4
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• pp.751-770
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• 2016

Purpose: Two-stage ${\bar{X}}$ chart is a useful tool for process control when a surrogate variable may be used together with a performance variable. This paper extends the two-stage ${\bar{X}}$ chart to a three stage version by decomposing the first stage into the preliminary stage and the main stage. Methods: The expected cost function is derived using Markov-chain approach. The optimal designs are found for numerical examples using a genetic algorithm combined with a pattern search algorithm and compared to those of the two-stage ${\bar{X}}$ chart. Sensitivity analysis is performed to see the parameter effects. Results: The proposed design outperforms the optimal design of the two-stage ${\bar{X}}$ chart in terms of the expected cost per unit time unless the correlation between the performance and surrogate variables is modest and the shift in process mean is smallish. Conclusion: Three-stage ${\bar{X}}$ chart may be a useful alternative to the two-stage ${\bar{X}}$ chart especially when the correlation between the performance and surrogate variables is relatively high and the shift in process mean is on the small side.

• Journal of Korean Physical Therapy Science
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• v.16 no.3
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• pp.67-74
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• 2009

Background: Various functional factors should be incorporated during assessment and intervention for patient rehabilitation. Stable respiratory function is one of required factors for functional restoration. To maximize respiratory physical therapy intervention outcome, it is required to understand clinical features of respiratory diseases and physical therapy approaches. Methods: Previous studies were systematically reviewed through computerized search. Methodological qualities of selected studies were evaluated and the levels of recommendations were determined. Results: Assessment for respiratory pattern and thoracic mobility is of importance to improve cardiopulmonary fitness during physical reconditioning. Application of optimal therapeutic protocol can increase thoracic mobility and respiratory function. Interdisciplinary communication is critical during rehabilitation for respiratory patients. Health care provider should have professional knowledge and experience for cardiopulmonary fitness and obligation to endeavor for patients' respiratory rehabilitation. It is necessary to standardize therapeutic intervention, and rehabilitative respiratory exercise should be applied to confirm the effects of intervention. Conclusion: Respiratory diseases that may reduce patients' quality of life and cardiopulmonary fitness should be resolved through physical therapy approaches. Through conducting research, effect of evidence-based and patients' function-oriented intervention can be determined.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.23 no.61
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• pp.127-135
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• 2000

This paper provides a new method of initializing neurons used in self-organizing neural networks and sequencing input nodes for applying to Euclidean traveling salesman problem. We use a general property that in any optimal solution for Euclidean traveling salesman problem, vertices located on the convex hull are visited in the order in which they appear on the convex hull boundary. We composite input nodes as number of convex hulls and initialize neurons as shape of the external convex hull. And then adapt input nodes as the convex hull unit and all convex hulls are adapted as same pattern, clockwise or counterclockwise. As a result of our experiments, we obtain l∼3 % improved solutions and these solutions can be used for initial solutions of any global search algorithms.

• Coupled systems mechanics
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• v.13 no.3
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• pp.219-229
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• 2024

By introducing optimization algorithms into the machining process, product quality can be improved, time saved, and costs reduced. The cutting speed and feed can be handled by the turning machine. The approach of optimizing is used to manage pyrotechnics, Lawler's, greedy, bacterial colony, elephant herding, ant lion, spiral, auction, and pattern search for these ten odd ways. Ten artificial optimization methodologies were used to investigate the time and cost of a turning machine. It has been discovered how to create the optimal turning machine procedure. The best solution approach for the turning machine process problem is found, and the results are verified using ANSYS.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.28 no.2
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• pp.189-196
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• 2010

Spatial information and smart phone technology have made innovative improvement of daily life. Spatial and geographic information are in practice for various applications. Especially, spatial information along with information and telecommunication technology could create new contents for providing services for convenient daily life. Spatial information technology, recently, is not only for acquiring location and attribute data but also providing tools to extract information and knowledge systematically for decision making. Various indoor applications have emerged in accordance with demands on daily GIS(Geographic information system). This paper aims for applying spatial information technology to support decision-making in shopping. The main contents include product database, optimal path search, shopping time expectation, automatic housekeeping book generation and analysis. Especially for foods, function to analyze information of the nutrition facts could help to improve dietary pattern and well-being. In addition, this system is expected to provide information for preventing overconsumption and impulse purchase could help economical and effective purchase pattern by analyzing propensity to consume.

• Journal of Biosystems Engineering
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• v.15 no.3
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• pp.244-256
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• 1990

This study was conducted to select the optimal machinery systems for the Mechanized Farming Groups (MFG) by their sizes. In order to achieve the objective, a survey and systems analysis were taken for 50 MFG of Chungnam province. Then a mathematical model was developed. Based on it, a computer program (MFSDINGP) was developed by the Iterative Nonlinear Goal Programming (INGP) and Hooke & Jeeves pattern search algorithm. Using MFSDINGP, optimal machinery systems were selected and presented with annual costs of machinery for the sizes of 5-40 ha of MFG.

• Journal of Institute of Control, Robotics and Systems
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• v.12 no.3
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• pp.208-220
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• 2006

Energy of wheeled mobile robot is usually supplied by batteries. In order to extend operation time of mobile robots, it is necessary to minimize the energy consumption. The energy is dissipated mostly in the motors, which strongly depends on the velocity profile. This paper investigates various 3-step (acceleration - cruise - deceleration) speed control methods to minimize a new energy object function which considers the practical energy consumption dissipated in motors related to motor control input, velocity profile, and motor dynamics. We performed an analysis on the energy consumption various velocity profile patterns generated by standard control input such as step input, ramp input, parabolic input, and exponential input. Based on these standard control inputs, we analyzed the six 3-step velocity profile patterns: E-C-E, P-C-P, R-C-R, S-C-S, R-C-S, and S-C-R (S means a step control input, R means a ramp control input, P means a parabolic control input, and E means an exponential control input, C means a constant cruise velocity), and suggested an efficient iterative search algorithm with binary search which can find the numerical solution quickly. We performed various computer simulations to show the performance of the energy-optimal 3-step speed control in comparison with a conventional 3-step speed control with a reasonable constant acceleration as a benchmark. Simulation results show that the E-C-E is the most energy efficient 3-step velocity profile pattern, which enables wheeled mobile robot to extend working time up to 50%.

• Korea Journal of Hospital Management
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• v.9 no.3
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• pp.18-48
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• 2004

Health policies in many countries have come under critical scrutiny in recent years. This is because of increasing national health expenditures. Also many persons in health sector have been the perception that resources allocated to health services are not always deployed in an optimal fashion. And they believe that the scope of resources in health services is limited, there is need to search for ways of using existing resources more efficiently. A further concern has been the desire to ensure access to healthcare of various groups on an equitable basis. In some European countries this has been linked to a wish to enhance patient choice and to make service providers more responsive to consumers, while Korea integrated health insurance funds into single fund in 2000. Many European countries are under considerable pressure to review and restructure their health care systems. There are several reasons of pressure to reform. There are demographic changes, pattern of disease change, advances in medical sciences will also give rise to new demands within the health services, public expectations of health services are rising as those who use services demand higher standards of care. These circumstances require the change of health care delivery system based on hierarchical regionalism, which was basis of health care delivery since 1920s. Korea is also under similarly pressure to restructure our own health care systems. We will have good learning from OECD experiences. In this paper we reviewed and compared among OECD countries' various experiences.

• Journal of the Korean Operations Research and Management Science Society
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• v.40 no.2
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• pp.31-42
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• 2015

The purpose of airborne radars is to detect and identify approaching targets as early as possible. If the targets are identified as enemies, detection systems must provide defense systems with information of the targets to counter. Though many previous studies based on the detection theory of the target have shown various ways to derive detection probability of each radar, optimal arrangement of radars for effective detection, and determination of the search pattern, they did not reflect the fact that most military radar sites run multiple radars in order to increase the accuracy of identifications by radars. In this paper, we propose a model to analyze the probability of identification generated by the multiple radars using non-homogeneous absorbing markov chains. Our results are expected to help the military commanders counter the enemy targets effectively by using radars in a way to maximize the identification rate of targets.