• 전자공학회논문지 IE
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• v.47 no.2
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• pp.21-26
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• 2010

This paper proposed an efficient algorithm to reduce the amount of calculation for Scalability Extension which takes a great deal of the operational time in H.264/AVC. This algorithm decides a search range according to the direction of predicted motion vector, and then performs an adaptive spiral search for the candidates with JM(Joint Model) FME(Fast Motion Estimation) which employs the rate-distortion optimization(RDO) method. Experimental results by applying the proposed method to various video sequences showed that the process time was decreased up to 80% comparing to the previous prediction methods. The degradation of video Quality was only from 0.05dB to 0.19dB and the compression ratio decreased as small as 0.58% in average. Therefore, we are sure that the proposed method is an efficient method for the fast inter prediction.

• Journal of Environmental Science International
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• v.18 no.8
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• pp.885-897
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• 2009

In order to make sure the impact of spatial resolution of wind energy map on the estimation of wind power density in the Korean Peninsula, the comparison studies on the characteristics of wind energy map with three different spatial resolutions were carried out. Numerical model used in the establishment of wind map is MM5 (5th generation Mesoscale Model) with RBAPS (Regional Data Assimilation and Prediction System) as initial and boundary data. Analyzed Period are four months (March, August, October, and December), which are representative of four seasons. Since high spatial resolution of wind map make the undulation of topography be clear, wind pattern in high resolution wind map is correspond well with topography pattern and maximum value of wind speed is also increase. Indication of island and mountains in wind energy map depends on the its spatial resolution, so wind patterns in Heuksan island and Jiri mountains are clearly different in high and low resolutions. And area averaged power density can be changed by estimation method of wind speed for unit area in the numerical model and by treatment of air density. Therefore the studiable resolution for the topography should be evaluated and set before the estimation of wind resources in the Korean Peninsula.

• The KIPS Transactions:PartD
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• v.10D no.5
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• pp.829-836
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• 2003

Software Reliability Growth Model that have been studied variously. But measurement of correct parameter of this model is not easy. Specially, estimation of correct model about failure data must be establish and estimation of parameter can consist exactly. To get correct testing, we calculate the normal score and describe the normal probability plot. Use the normal probability plot, we estimate the distribution for failure data. In this paper, we estimate the software reliability growth model for through the normal probability plot. In this research, we applies software reliability growth model through distribution characteristics of failure data. If we see plot, we determine the software reliability growth model, we can make sure superior in model's performance estimation.

• Proceedings of the KSME Conference
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• 2008.11a
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• pp.932-937
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• 2008

The pulsation of a reciprocating type hydrogen compressor is occurred from the mechanism and this pulsation makes much noise and vibration. To reduce this pulsation, snubber is usually installed on that. To maintain the efficiency in the reciprocating type hydrogen compressor, the pulsation and vibration should be reduced. so it is necessary to research about the characteristic of pulsation and vibration. Therefore in this paper, the vibration characteristic of the snubber is analyzed in the base of optimized modeling condition through the flowing analysis of existing snubber. The prototype of reciprocating type hydrogen compressor is analyzed with numerical analysis. And making sure the present condition of hydrogen compressor through measurement of vibration and noise, and then it is established that the vibration characteristic data base on numerical analysis which will be develope.

• Communications for Statistical Applications and Methods
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• v.9 no.2
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• pp.381-388
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• 2002

It has been pointed out that the classical credibility model used in Korea since the beginning of 1990's lacks in objectiveness. Recently, in order to improve objectiveness, the empirical Bayes credibility model utilizing general exposure units like the number of claims and premium has been employed, but that model itself is not quite applicable in the country like Korea whose annual and classified empirical data are not well accumulated and even varied severely. In this article, we propose a new and better model, Based on the new model, we estimate both credibility and loss ratio of each class for fire insurance plans by Korean insurance companies. As a conclusion, we empirically make sure analysis that the number of claims is a more reasonable exposure unit than premium.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.11C
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• pp.1077-1084
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• 2006

This paper proposed a fast algorithm to reduce the amount of calculation for inter prediction which takes a great deal of the operational time in H.264/AVC. This algorithm decides a search range according to the direction of predicted motion vector, and then performs an adaptive spiral search for the candidates with JM(Joint Model) FME(Fast Motion Estimation) which employs the rate-distortion optimization(RDO) method. Simultaneously, it decides a threshold cost value for each of the variable block sizes and performs the motion estimation for the variable search ranges with the threshold. These activities reduce the great amount of the complexity in inter prediction encoding. Experimental results by applying the proposed method .to various video sequences showed that the process time was decreased up to 80% comparing to the previous prediction methods. The degradation of video quality was only from 0.05dB to 0.19dB and the compression ratio decreased as small as 0.58% in average. Therefore, we are sure that the proposed method is an efficient method for the fast inter prediction.

• Proceedings of the KIEE Conference
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• 2000.11a
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• pp.129-131
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• 2000

We must precisely understand the current state of system for efficiently and safely operating the power system of subway and it is the important problem to secure the high-quality data for state estimation. The current state of subway system is calculated by data to be transmitted to central control office from every place to install the measuring instruments so the high accuracy and trust can be maintained if the measured data have a high quality. But it is difficult to estimate the accurate state of system because of the noises in transit data and the inaccuracy due to errors of measuring instruments. So the object is to reduce the difference from the real value in terms of improving considerably the inaccuracy due to instrumental errors and noises using the state estimation method. In this paper we estimate the accurate state of the subway power system in the arbitrary measured values of a Sangin station in Deagu subway, and consider the possibility to apply to the real subway power system on the basis of that. This test shows to make sure of the possibility to apply to the real system usefully.

• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.6
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• pp.673-681
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• 2005

As it is the most important to make sure security and reliability for nuclear Power Plant, it's considered the most crucial issues to develop a fault detective and diagnostic system in spite of multiple hardware redundancy in itself. To develop an algorithm for a fault diagnosis in the nuclear PWR steam generator, this paper proposes a method based on ART2(adaptive resonance theory 2) neural network that senses and classifies troubles occurred in the system. The fault diagnosis system consists of fault detective part to sense occurred troubles, parameter estimation part to identify changed system parameters and fault classification part to understand types of troubles occurred. The fault classification part Is composed of a fault classifier that uses ART2 neural network. The Performance of the proposed fault diagnosis a18orithm was corroborated by applying in the steam generator.

• Journal of Korean Society of Transportation
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• v.23 no.3 s.81
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• pp.61-71
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• 2005

We evaluated the availability of Origin-Destination Matrix from traffic counts Using conjugate gradient method to large scale networks by applying it to the networks in 246 zones. As a result of the analysis of the consistency of the model on Nationwide Networks, the upper and lower levels in model had the systematic relationship internally. From the analysis of the estimable power or the model according to the number of traffic counting links, the error in traffic volume had the estimable power in the range of permissible error. In addition, the estimable power of estimation of an Origin-Destination Matrix was more satisfactory than that of existing methods. We conclude that conjugate gradient method cab be applied to nationwide networks if we can make sure that the algorithm of the developed model is reliable by doing various kinds of experiment.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2009.06a
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• pp.194-195
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• 2009

According to the issue "global warming", many regulations and agreements with countries in the world are becoming set and it is being fulfill now. Under the progress of Post Kyoto Protocol agreement, It will be sure that Korea rave a duty to reduce $CO_2$ emission from 2013. For them, Korea have to make a strategies about the Climatic Change Convention for all industries. Recently, a great attention about $CO_2$ emission in the world is focused on port, shipping line and airline. Most countries are establishing policies to prevent environment from these industry fields, but Korea has not yet made for them. Thus, Korea need to collect $CO_2$ emission data not only the routes of container from port but also activities in the port. In this paper, an estimation of $CO_2$ emission under the route of container transportation at Korea by using O/D analysis will be addressed. And then, it will be used to make a optimal routes of container transportation which can reduce $CO_2$ emission in future.