• Food Science of Animal Resources
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• v.32 no.2
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• pp.247-251
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• 2012

This study was carried out to investigate the applicability of the detection of central nervous system tissues (CNST) in beef by-products in retail market. Beef by-products including large intestine, brain, spinal cord, liver, lung, spleen and heart were purchased and tested for the presence of CNST using an ELISA method. The ELISA test was evaluated and showed a high correlation coefficient by a standard curve (R value = 0.999). Based on the analytical instruction, the positive indication of the CNST contamination of brain and spinal cord was detected above 0.1% but large intestine, liver, lung, spleen, and heart was negative. Result suggests that the ELISA method is applicable to a real meat system and may provide a method to ensure confidence for consumer against bovine spongiform encephalopathy (BSE).

• Proceedings of the Korean Geotechical Society Conference
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• 2009.09a
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• pp.1425-1434
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• 2009

This study was aimed at comparing and assessing SPT-N values both measured by automatic and manual record devices of Standard Penetration Test. As a result, energy efficiency of hammer was approximately 62.9%, meaning SPT-N value measured by automatic recording device showed relatively accurate performance that the one done by manual device. Given the relations between hit frequency of automatic recording device and intrusion, the characteristics of stratum are expected to be proved in more accurate way. Additionally, higher confidence level seems to make it preferred and quality assessment method.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.50 no.3
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• pp.109-116
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• 2001

In this paper, we adapted BLDC motor to PV water pumping systems to maintain high efficiency in the wide speed area. Also, to design confidence we adapted the vector control that drive the maximum torque at each speed limit. We designed optimal gain value of current, speed and pressure PI controller. Inverter gate pulse used Space Vector PWM to reduce torque pulsation of BLDC motor. According to, it was improve general matters of high water storage tank method by direct water supply pumping method.

• Journal of the Semiconductor & Display Technology
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• v.14 no.3
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• pp.37-43
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• 2015

In this paper, a new background subtraction algorithm for video based fence monitoring surveillance systems is proposed. We adopt the sampling based background subtraction technique and focus on the two main issues: handling highly dynamic environment and handling the flickering nature of pulse based IR (infrared) lamp. Natural scenes from fence monitoring system are usually composed of several dynamic entities such as swaying trees, moving water, waves and rain. To deal with such dynamic backgrounds, we utilize the confidence factor for each background value of the input image. For the flickering IR lamp, the original sampling based technique is extended to handle double background models. Experimental results revealed that our method works well in real fence monitoring surveillance systems.

• Journal of Positioning, Navigation, and Timing
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• v.3 no.4
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• pp.149-154
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• 2014

The BeiDou is a satellite-based positioning and navigation system, which is under construction by the China Satellite Navigation Office. Until the June of 2014, the constellation of BeiDou navigation satellite system consists of 14 satellites including five geostationary earth orbit (GEO), five inclined geosynchronous earth orbit (IGSO) and four medium earth orbit (MEO). In this paper, we present the positioning results using BeiDou B1 code measurements obtained from three GNSS reference stations (BHAO, SKMA, MKPO). Combined Beidou/GPS positioning results are also compared to BeiDou and GPS only. BeiDou-only positioning errors for the east-west and north-south direction had less than 2 meter with root mean square (RMS) value. However, the positioning error for the up-down direction had larger than 10 meter at a 95% confidence level. Our results also suggest that the position precision is improved by combined BeiDou/GPS compared to BeiDou-only.

• Steel and Composite Structures
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• v.18 no.3
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• pp.757-773
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• 2015

This work attempts to implement multiple regression analysis (MRA) for modeling and predicting the shear buckling strength of a steel beam with corrugated web. It was recognized from theoretical and experimental results that the shear buckling strength of a steel beam with corrugated web is complicated and affected by several parameters. A model that predicts the shear strength of a steel beam with corrugated web with reasonable accuracy was sought. To that end, a total of 93 experimental data points were collected from different sources. Then mathematical models for the key response parameter (shear buckling strength of a steel beam with corrugated web) were established via MRA in terms of different input geometric, loading and materials parameters. Results indicate that, with a minimal processing of data, MRA could accurately predict the shear buckling strength of a steel beam with corrugated web within a 95% confidence interval, having an $R^2$ value of 0.93 and passing the F- and t-tests.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1993.06a
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• pp.1281-1284
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• 1993

By the exponential representation form (EF) for fuzzy logic, any fuzzy value a (in fuzzy valued logic or fuzzy linguistic valued logic) can be represented as Bc, where B is called the truth base and C the confidence exponent. This paper will propose the basic concepts of this form and discuss its interesting properties. By using a different truth base, the exponential form can be used to represent the positive and the negative logic in fuzzy valued logic as well as in fuzzy linguistic valued logic. Some Simple application examples of EF for approximate reasoning are also illustrated in this paper.

• Computers and Concrete
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• v.11 no.3
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• pp.237-252
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• 2013

This paper presents the application of artificial neural network (ANN) to predict deep beam deflection using experimental data from eight high-strength-self-compacting-concrete (HSSCC) deep beams. The optimized network architecture was ten input parameters, two hidden layers, and one output. The feed forward back propagation neural network of ten and four neurons in first and second hidden layers using TRAINLM training function predicted highly accurate and more precise load-deflection diagrams compared to classical linear regression (LR). The ANN's MSE values are 40 times smaller than the LR's. The test data R value from ANN is 0.9931; thus indicating a high confidence level.

• Industrial Engineering and Management Systems
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• v.8 no.2
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• pp.93-100
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• 2009

In this paper, we review widely used methods to extract local volatility surfaces (LVSs) from implied volatility surfaces (IVSs) and suggest a model averaging method for constructing implied and local volatility surfaces weighted by trading volumes. It makes use of model averaging method by means of bandwidth priors, and then produces a robust LVS estimation. The method is shown to provide the information about the confidence interval of estimators as well as a rather less variable weighted mean value for the IVS and LVS. To show the merits of our proposed method, we conduct simulations on equity-linked warrants (ELWs) with reasonable and acceptable results.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.721-722
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• 2007

Currently, there has been a special practical program in Transmission for developing country(Southeast Asia, China and the Middle East) in KEPCO..And it will enhance the value of KEPCO by having highly competitive practical programs compare to other electric power company in developed countries. In this program, we focused on actual affairs to help engineers become experienced and all lecturers-experts in practical work-are giving the know-how of technique and skill..This program consists of 16 courses(Power system, Transmission construction and maintenance )which is designed for customers own needs. Therefore anyone can make the order of the course as they need. This program has contributed much to the growth of the company and helped to achieve a world-wide reputation. Also foreign aid project created a KEPCO image which will enjoy the nation's love and confidence. Through this course we can increase our international competeitivenessand and will have a chance to start a business that has a future in Northwest Africa.