• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.4
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• pp.281-293
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• 2023

This study addresses the optimal design methodology for switching between active electronically scanned array (AESA) radar operating modes to easily select the necessary information to reduce pilots' cognitive load and physical workload in situations where diverse and complex information is continuously provided. This study presents a procedure for defining a hidden Markov chain model (HMM) for modeling operating mode changes based on time series data on the operating modes of the AESA radar used by pilots while performing mission scenarios with inherent uncertainty. Furthermore, based on a transition probability matrix (TPM) of the HMM, this study presents a mathematical programming model for proposing the optimal structural design of AESA radar operating modes considering the manipulation method of a hands on throttle-and-stick (HOTAS). Fighter pilots select and activate the menu key for an AESA radar operation mode by manipulating the HOTAS's rotary and toggle controllers. Therefore, this study presents an optimization problem to propose the optimal structural design of the menu keys so that the pilot can easily change the menu keys to suit the operational environment.

• Ocean Systems Engineering
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• v.2 no.2
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• pp.83-97
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• 2012

In the present work, design procedure and computer simulation of an AUV are documented briefly. The design procedure containing the design of propulsion system and CFD simulation of hydrodynamics behavior of the hull leads to achieve an optimum mechanical performance of AUV system. After designing, a comprehensive one dimensional model including motor, propeller, and AUV hull behavior simulates the whole dynamics of AUV system. In this design, to select the optimum AUV hull, several noses and tails are examined by CFD tools and the brushless motor is selected based on the first order model of DC electrical motor. By calculating thrust and velocity in functional point, OpenProp as a tool to select the optimum propeller is applied and the characteristics of appropriate propeller are determined. Finally, a computer program is developed to simulate the interaction between different components of AUV. The simulation leads to determine the initial acceleration, final velocity, and angular velocity of electrical motor and propeller. Results show the final AUV performance point is in the maximum efficiency regions of DC electrical motor and propeller.

• Proceedings of the KIEE Conference
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• 2008.04c
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• pp.106-109
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• 2008

Piecewise linear diode models are widely used for large-signal circuit analyses, especially power electronic circuit simulations. When using a piecewise linear diode model for simulation, a switching method to select a proper one among linear models is needed. The conventional switching method keeps the previous ON, OFF state information, and applies different switching conditions according to the state. However, this method has difficulties especially in extending to multi-piecewise linear models. This paper presents a switching method which appropriately divides the v-i plane into regions and select a linear model according to the region where the operating point(the voltage and the current of the diode) belongs. This switching method is easily extended to multi-Piecewise linear models. An example using the tableau analysis and the backward Euler integration is presented for verification.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.291-294
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• 2001

This study has established an appraisal standard to select VE subject when they evaluate of design VE by using of a qualify model in an early design step and has suggested an improvement method for importance's estimation method of an appraisal standard. An importance's estimation method is to arrangement of geometric average method using an AHP method to this study, When an evaluation of a quality model, we estimate an importance by establishing of an appraisal standard of economics, construction, security, environmental influence, maintenance, etc.

• East Asian Economic Review
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• v.22 no.2
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• pp.117-140
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• 2018

WTO was established in 1995 and as many as 36 new members joined WTO until December 2017. Thus it would be interesting to see if new members have committed higher or lower levels of market opening compared to the original members. In this regard, a sophisticated scoring scheme is needed to quantify market opening commitments. After proper econometric model is established for the original members, same model can be applied to the new members for comparison. It was found that new members committed a much higher level of commitment than the original members. In addition, it was also found that transition economies committed higher levels than the non-transition economies. More interesting finding is that among the new members, the larger the economies or the larger the trading volume are, the closer was the level of commitment to the predicted level. Then the question is whether this difference was due to benign neglect by the new members or due to malign select by the original members.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.53 no.6
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• pp.925-933
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• 2020

This study is aimed to compare stock assessment models which are effective in assessing red snow crab Chinonoecetes japonicus resources and to select and apply an effective stock assessment model in the future. In order to select an effective stock assessment model, a process-error model, observation-error model, and a Bayesian state-space model were estimated. Analytical results show that the least error is observed between the estimated CPUE (catch per unit effort) and the observed CPUE when using the Bayesian state-space model. For the Bayesian state-space model, the 95% credible interval(CI) ranges for the maximum sustainable yield (MSY), carrying capacity (K), catchability coefficient (q), and intrinsic growth (r) are estimated to be 10,420-47,200 tons, 185,200-444,800 tons, 3.81E-06-9.02E-06, and 0.14-0.66, respectively. The results show that the Bayesian state-space model was most reliable among models.

• Proceedings of the Safety Management and Science Conference
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• 2009.04a
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• pp.429-438
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• 2009

In order to find out the customer requirements and to develop new products more effectively, the Kano model and QFD(Quality Function Deployment), AHP(Analytic Hierarchy Process) developed and applied. But, Many companies difficult to select the CTQ(Critical to Quality) of new product. Especially the life cycle of cell phone is very short. In this thesis, the Kano model and AHP(Analytic Hierarchy Process) for finding the CTQ(Critical to Quality) for customer satisfaction are suggested. It is explained and discussed with the example of cell phone.

• Journal of Digital Convergence
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• v.5 no.2
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• pp.15-24
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• 2007

This article is for building the successful e-learning model. In order to achieve th purpose of this article, it is described as follows. First, the changing educational environment due to Web technology was analyzed; And some Web-based teaching models for desirable performance and how to select the right software were suggested under the given circumstance. Finally, requirements for successful e-learning were described.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.8 no.1
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• pp.55-64
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• 1996

A numerical model of refrigerant flow through a capillary tube is developed, which considers the effects of underpressure for vaporization, kinetic energy, and roughness of capillary tube. The numerical model is based on homogeneous flow assumptions for the two-phase flow region. A characteristic chart of HFC refrigerants flow through capillary tubes and correction factor chart of geometry and relative roughness of capillary tube to select a proper capillary for refrigerating machines using alternative refrigerants is presented by this numerical model.

• The Journal of the Korea Contents Association
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• v.9 no.10
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• pp.51-58
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• 2009

Reinforcement learning is a sub area of machine learning concerned with how an agent ought to take actions in an environment so as to maximize some notion of long-term reward. In the case of multi-agent, especially, which state space and action space gets very enormous in compared to single agent, so it needs to take most effective measure available select the action strategy for effective reinforcement learning. This paper proposes a multi-agent reinforcement learning model based on fuzzy inference system in order to improve learning collect speed and select an effective action in multi-agent. This paper verifies an effective action select strategy through evaluation tests based on Robocup Keepaway which is one of useful test-beds for multi-agent. Our proposed model can apply to evaluate efficiency of the various intelligent multi-agents and also can apply to strategy and tactics of robot soccer system.