• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2006.11a
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• pp.357-358
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• 2006

Accurate calibration matching for maladjusted stereo cameras with calibrated pixel distance parameter is presented. The camera calibration is a necessary procedure for stereo vision-based depth computation. Intra and extra parameters should be obtain to determine the relation between image and world coordination through experiment. One difficulty is in camera alignment for parallel installation: placing two CCD arrays in a plane. No effective methods for such alignment have been presented before. Some amount of depth error caused from such non-parallel installation of cameras is inevitable. If the pixel distance parameter which is one of Intra parameter is calibrated with known points, such error can be compensated in some amount and showed the variable experiments for accurate effects.

• 한국태양에너지학회:학술대회논문집
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• 2009.04a
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• pp.97-101
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• 2009

Calculating and predicting the thermal comfort in outdoor environment are difficult than in indoor environment because composition parameters are variable, interrelations among parameters are very complex and human activities in outdoor are diverse. Moreover, the thermal expectancy of subject in outdoor environment is different from that of indoor environment. The aims of this study are to examine the difference between indoor and outdoor thermal comfort range. With this in mind, field measurement for estimating outdoor thermal environment and a questionnaire survey with simultaneous measurement around the subject were conducted.

• Journal of the Korean Data and Information Science Society
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• v.21 no.4
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• pp.765-775
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• 2010

For the accelerated failure time (AFT) model a lot of effort has been devoted to develop effective estimation methods. AFT model assumes a linear relationship between the logarithm of event time and covariates. In this paper we propose a semiparametric support vector machine to consider situations where the functional form of the effect of one or more covariates is unknown. The proposed estimating equation can be computed by a quadratic programming and a linear equation. We study the effect of several covariates on a censored response variable with an unknown probability distribution. We also provide a generalized approximate cross-validation method for choosing the hyper-parameters which affect the performance of the proposed approach. The proposed method is evaluated through simulations using the artificial example.

• Journal of the Korean Institute of Intelligent Systems
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• v.12 no.3
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• pp.275-281
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• 2002

In this paper, in order to make a desired velocity and moving pattern of soccer robot, we Propose the speed control function with several parameters which represent the reflection ratio of distance and angle error etc. These parameter influence on the determining the speed and moving path of soccer robot. And we propose the searching method for these parameters by using genetic algorithms. As a result of finding the optimal parameter, we can move the robot more quickly in accordance with objective under variable environment.

• Proceedings of the KIEE Conference
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• 1999.07b
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• pp.728-730
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• 1999

This paper suggests a new supervisory control input for improving response of nonlinear system with adaptive neural controller. The proposed control input is constructed using variable parameters which is adjusted by a separated control law. With the proposed algorithm, the information about the parameters are not required and error range is managed by designer in this scheme. The effectiveness of the proposed control scheme is demonstrated through the control of inverted pendulum.

• Proceedings of the KIEE Conference
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• 2005.10b
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• pp.373-375
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• 2005

The purpose of this paper is to develop the Plastic Cortex Stimulator(PCS) for stroke patients using ZigBee technology. The PCS consists of an implantable neuro-stimulator and a user controller, The neuro-stimulator has the stimulus circuit which is the H-bridge circuit to generate a bipolar pulse. The bipolar pulse is known to be effective for stroke recovery. The user controller sends several wave-shape parameters (amplitude, pulse width, cycle, etc.) to the neuro-stimulator for variable stimulation using ZigBee technology. The CC2420 and atmega128L was used to implement ZigBee protocol stack. The wireless control of PCS based on ZigBee can help the tele-rehabilitation of the stroke patients. The most effective pulse shape parameters are being investigated through animal experiments. The bio-compatibility and user-friendly interface are supposed to be handled in further study.

• 제어로봇시스템학회:학술대회논문집
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• 1989.10a
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• pp.786-789
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• 1989

A nonlinear self-tuning regulator for a neutralization process of a weak acid and strong base system is proposed. Rearranging the state equation of the process model, we first obtain equations which are linear for a manipulated variable or unknown parameters. Then to these equations we apply the standard procedure used in designing linear self-tuning regulators. Simulation results show that the regulator provides very good performances for various realistic situations and traces variations of the unknown parameters. Since computations are simple and additional measurements except the effluent pH value are only flow rates of influent streams, it can be easily applied to real processes such as a waste water treatment process.

• Proceedings of the Korean Society of Marine Engineers Conference
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• 2005.11a
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• pp.73-74
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• 2005

Shipping company and operators have to manage well to keep shipping schedules without problems in main engine. Specially operators have to operate main engine within the limit of operation point, and adjust related parameters to be operated safely and continuously. Also operators have ability to analyze fouling condition of hull through comparing data gotten from P-V curve and performance results of new building ships in trial with service ships. In this study, not only compared main engine performance results in shop trial and sea trial, but also investigated performance trend in accordance with the time elapsed for the service ship's diesel engine. They were confirmed as follows. First, shop trial load is higher than sea trial load but ship's speed is satisfied with owner's contract speed. Second as time goes by, load of service ship increases steadily and other parameters related with main engine shows variable change depend on main engine load increasing.

• Proceedings of the Korean Society of Marine Engineers Conference
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• 2002.05a
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• pp.239-244
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• 2002

Even though, tanks are used at the many industry plants, it is very difficult to control the tank level without any overflow and shortage; moreover, cause of its complication of dynamics and nonlinearity, it's impossible to realize the accurate control using the mathematical model which can be applied to the various operation modes. However, the sliding mode controller(SMC) is known as having the robust variable structures for the nonlinear control systems with the parametric perturbations and with the sudden disturbances, but the auto-tuning of parameters was a problem. Therefore, in this paper, a Genetic Algorithm based Sliding Mode Controller (GA-SMC) for the precise control of the coupled tank level was tried. GA optimized the SMCs switching parameters easily and rapidly. The simulation results are shown that the tank level could be satisfactorily controlled with less overshoot and steady-stale error by the proposed GA-SMC.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.33 no.11
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• pp.1314-1319
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• 2009

The design methods of mechanical systems are largely classified into deterministic methods and stochastic methods. In deterministic methods, design parameters are assumed to have fixed values. On the other hand, in stochastic methods, design parameters are assumed to be statistically distributed. When a stochastic method is employed, statistical characteristics of the populations of design variables are assumed to be known. However, very often, it is almost impossible or very expensive to obtain the statistical characteristics of the populations. Therefore a sample survey method is usually employed for stochastic methods. This paper describes the procedure of estimating the statistical characteristics of populations by employing sample data sets. An example of AFM micro cantilever beam is employed to show the effectiveness of the procedure.