• Journal of the Korea Society of Computer and Information
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• v.5 no.2
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• pp.30-36
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• 2000

The hidden node plays a role of the functional units that classifies the features of input pattern in the given question. Therefore, a neural network that consists of the number of a suitable optimum hidden node has be on the rise as a factor that has an important effect upon a result. However there is a problem that decides the number of hidden nodes based on back-propagation learning algorithm. If the number of hidden nodes is designated very small perfect learning is not done because the input pattern given cannot be classified enough. On the other hand, if designated a lot, overfitting occurs due to the unnecessary execution of operation and extravagance of memory point. So, the recognition rate is been law and the generality is fallen. Therefore, this paper suggests a method that decides the number of neural network node with feature information consisted of the parameter of learning algorithm. It excludes a node in the Pruning target, that has a maximum value among the feature value obtained and compares the average of the rest of hidden node feature value with the feature value of each hidden node, and then would like to improve the learning speed of neural network deciding the optimum structure of the multi-layer neural network as pruning the hidden node that has the feature value smaller than the average.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.36S no.1
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• pp.51-59
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• 1999

In this paper we propose the technique for tracking players and a ball and for obtaining players' ground traces using image mosaic in general soccer sequences. Here, general soccer sequences mean the case that there is no extreme zoom-in or zoom-out of TV camera. Obtaining player's ground traces requires that the following three main problems be solved. There main problems: (1) ground field extraction (2) player and ball tracking and team indentification (3) player positioning. The region of ground field is extracted on the basis of color information. Players are tracked by template matching and Kalman filtering. Occlusion reasoning between overlapped players in done by color histogram back-projection. To find the location of a player, a ground model is constructed and transformation between the input images and the field model is computed using four or more feature points. But, when feature points extracted are insufficient, image-based mosaic technique is applied. By this image-to-model transformation, the traces of players on the ground model can be determined. We tested our method on real TV soccer sequence and the experimental results are given.

• Journal of the Korean Geotechnical Society
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• v.18 no.5
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• pp.37-42
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• 2002

Artificial neural networks are efficient computing techniques that are widely used to solve complex problems in many fields. In this paper a liquefaction potential was estimated by using a back propagation neural network model applicated to cyclic triaxial test data, soil parameters and site investigation data. Training and testing of the network were based on a database of 43 cyclic triaxial test data from 00 sites. The neural networks are trained by modifying the weights of the neurons in response to the errors between the actual output values and the target output value. Training was done iteratively until the average sum squared errors over all the training patterns were minimized. This generally occurred after about 15,000 cycles of training. The accuracy from 72% to 98% was shown for the model equipped with two hidden layers and ten input variables. Important effective input variables have been identified as the NOC,$D_10$ and (N$_1$)$_60$. The study showed that the neural network model predicted a CSR(Cyclic shear stress Ratio) of silty-sand reasonably well. Analyzed results indicate that the neural-network model is more reliable than simplified method using N value of SPT.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.16 no.4 s.95
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• pp.389-396
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• 2005

In this paper, we propose a pre-distortion method using the NLMS(Normalized Least Mean Square) algorithm to cope with hish PAPR(Peak to Average Power Ratio) problem in OFDM communication system. This proposed scheme estimates the distortion characteristics of HPA, and changes the characteristic against the distortion. Therefore, it can be shown that the adaptive characteristic of the NLMS pre-distorter is good to track the various nonlinear characteristic of HPA, even though HPA characteristic is changed by temperature variation or aging. From the performance analysis, SNR efficiency of NLMS pre-distorter is about $0.5\;\cal{dB}$ less than that of common numerical non-adaptive pre-distorter, when IBO(Input Back Off) is $0\;\cal{dB}$. However, the NLMS pre-distorter is better than the common numerical pre-distorter, because these two pre-distorters have similar performance in higher than $3\;\cal{dB}$ IBO, and the NLMS pre-distorter maintains the constant performance even though characteristic of HPA is changed.

• Korean Journal of Environmental Agriculture
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• v.40 no.4
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• pp.335-344
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• 2021

BACKGROUND: Cyantraniliprole is a systemic diamide insecticide that has been used to control lepidopteran pests in agriculture. Cyantraniliprole has become an issue due to its potentiality of unexpectable contamination in rotational crop cultivation. Thus, studies on the evaluation of cyantraniliprole translocated from soil into rotational crops are required. METHODS AND RESULTS: Cyantraniliprole was treated at a yearly maximum application level onto bare soil under greenhouse conditions in two geographically different regions. Lettuce was transplanted and spinach and radish were sown onto the soil 30 and 60 days-plant back intervals (PBIs) after cyantraniliprole treatment. The QuEChERS method was modified and coupled with LC/MS/MS analysis to determine the residues of cyantraniliprole in soil and plant samples. The methods for sample preparation and instrumental conditions were validated to meet the criteria of Codex guidelines and were successful to determine cyantraniliprole quantitatively and qualitatively in the samples. Cyantraniliprole residues in lettuce samples were 0.01 mg/kg for PBI 60 and 0.02 mg/kg for PBI 30, respectively. The residues in spinach samples were 0.01 mg/kg for PBI 60 and 0.01~0.02 mg/kg for PBI 30, respectively. Less than limit of the quantitation (LOQ) level (0.01 mg/kg) of cyantraniliprole was observed in radish samples. The residues in the plant samples were found as the levels less than maximum residue limit (MRL) for leafy and root vegetables. CONCLUSION(S): This study suggests PBI 30~60 days for rotational cultivation of lettuce, spinach and radish in greenhouse soil treated with cyantraniliprole at a yearly maximum application level.

• Journal of Korea Entertainment Industry Association
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• v.13 no.8
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• pp.267-280
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• 2019

The hybrid phenomenon of pronunciation of K-Pop lyrics, which is the diction fusion phenomenon of lyrics, is not a strategic measure for an overseas expansion but a natural formation in the course of history of K-Pop. With the debut of Seo Tai-ji and Boys in 1992, the course of K-Pop changed and settled from ballad to dance music. After three years, the success of a hip hop dance music, 'Come Back Home', opened up a door to Korean Americans who ascertained the potential competitiveness of a hip hop music in K-Pop market. And the writer insists that such advance of Korean Americans into K-Pop market is the origin of the bilingual usage and diction fusion phenomenon of K-Pop lyrics. Therefore, this research will look into the pronunciation system of Korean and English in order to understand the bilingual pronunciation system shown in the lyrics sung by Korean American hip hop singers in the 1990s. Moreover, through Korean pronunciation system, this analysis will discover the main cause of continual acceptance and application of Korean American's broken Korean in the diction of lyrics. Last but not least, this exploration will show the correlation of English pronunciation method of Korean lyrics appeared in K-Pop and the diction of Korean lyrics used by Korean American hip hop singers in late 90s. This research will identify the primary cause of the diction fusion phenomenon in the course of history of K-Pop.

• Korean Security Journal
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• no.24
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• pp.53-66
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• 2010

This study aims to analyze kinematic variables regarding lateral break-fall quantitatively that can protect the body, prevent the injury and minimize the impact. To this end, three Hapkido, judo athletes of H University with experience of over 5 years were selected. Test was conducted through three dimensional image analysis by checking the time and order the subjects reach a mat. In this study, lateral break-fall was repeated five times and among them, the best movement was selected. The picture shot with high-speed camera was analyzed by using KWON3D ver. 3.1 program through three dimensional coordinate calculation based on DLT method and smoothing process of data. Study results were as follows. 1. With respect to time variables shown in lateral break-fall of A, B, C athletes, there is small difference in temporal variables and in the order the body reaches a mat. With respect to average value, hand is ($0.94{\pm}0.20$), elbow ($0.97{\pm}0.17$), hip ($0.97{\pm}0.18$), back ($0.98{\pm}0.18$), and shoulder ($1.04{\pm}0.16$). Time variable the body reaches a mat in lateral break-fall is in hand, elbow, hip, back and shoulder. 2. With respect to moving distance variables shown in lateral break-fall of A, B, C athletes, hand is ($34.33{\pm}34.59$), elbow ($52.00{\pm}26.06$), hip ($70.00{\pm}15.72$), back ($153.67{\pm}17.93$), and should ($130.67{\pm}29.02$). The fact that this study contributed to improving security martial arts technique and protecting the body by understanding the principle of lateral break-fall movement is of significance. In addition, the fact that this study provided systematic basic data for improving security martial arts technique is significant.

• Journal of Institute of Control, Robotics and Systems
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• v.16 no.12
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• pp.1150-1158
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• 2010

In this study, the Polynomial-based Radial Basis Function Neural Networks is proposed as one of the recognition part of overall face recognition system that consists of two parts such as the preprocessing part and recognition part. The design methodology and procedure of the proposed pRBFNNs are presented to obtain the solution to high-dimensional pattern recognition problem. First, in preprocessing part, we use a CCD camera to obtain a picture frame in real-time. By using histogram equalization method, we can partially enhance the distorted image influenced by natural as well as artificial illumination. We use an AdaBoost algorithm proposed by Viola and Jones, which is exploited for the detection of facial image area between face and non-facial image area. As the feature extraction algorithm, PCA method is used. In this study, the PCA method, which is a feature extraction algorithm, is used to carry out the dimension reduction of facial image area formed by high-dimensional information. Secondly, we use pRBFNNs to identify the ID by recognizing unique pattern of each person. The proposed pRBFNNs architecture consists of three functional modules such as the condition part, the conclusion part, and the inference part as fuzzy rules formed in 'If-then' format. In the condition part of fuzzy rules, input space is partitioned with Fuzzy C-Means clustering. In the conclusion part of rules, the connection weight of pRBFNNs is represented as three kinds of polynomials such as constant, linear, and quadratic. Coefficients of connection weight identified with back-propagation using gradient descent method. The output of pRBFNNs model is obtained by fuzzy inference method in the inference part of fuzzy rules. The essential design parameters (including learning rate, momentum coefficient and fuzzification coefficient) of the networks are optimized by means of the Particle Swarm Optimization. The proposed pRBFNNs are applied to real-time face recognition system and then demonstrated from the viewpoint of output performance and recognition rate.

• Journal of Biomedical Engineering Research
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• v.23 no.3
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• pp.189-196
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• 2002

Transdermal drug delivery offers an alternative method to the conventional oral and injection delivery method. Its advantages include its ability to deliver drugs directly into systemic circulation. However, there have been restrictions in its application to deliver drugs because of the skin's barrier function. In this study, we try to combine a Sonophoresis and oxygen Pressure method in order to increase the Permeability of the skin. we used water as the compound and by utilizing the skin impedance method. we measured the hydration Permeability of skin Ultrasound was applied using a sonicator(Solcare-U1000. Solco, Korea) operating at a frequency of 1MHz. oxygen Pressure was applied using a compressor(Oxyjet-Pointer, Nora Bode. Germany) operating at a pressure of 2Bar/cm2. Experiment was performed in vivo for 42 People. We divided the subjects into four smaller groups. A different transdermal drug delivery method was applied for each group on the back of their hand. We measured the skin impedance variations on the hand. during a 20-minute time Period. The control group did not show any significant increase or variation of skin impedance to water. In comparison to the control group(Passive diffusion) the hydration Permeability of the ultrasound group and the oxygen Pressure group was approximately 25 and 30 times higher consecutively. Futhermore, the hydration permeability of the combination of ultrasound and oxygen Pressure group was about 70-fold higher in comparison to the control group(passive diffusion) . The results reveal that a combination of ultrasound and oxygen Pressure will significantly enhance transdermal water transport compared when only one of them is used.

• The Mathematical Education
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• v.27 no.1
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• pp.15-23
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• 1988

We are at the onset of a major revolution in education, a revolution unparalleled since the invention of the printing press. The computer will be the instrument of this revolution. Computers and computer application are everywhere these days. Everyone can't avoid the influence of the computer in today's world. The computer is no longer a magical, unfamiliar tool that is used only by researchers or scholars or scientists. The computer helps us do our jobs and even routine tasks more effectively and efficiently. More importantly, it gives us power never before available to solve complex problems. Mathematics instruction in secondary schools is frequently perceived to be more a amendable to the use of computers than are other areas of the school curriculum. This is based on the perception of mathematics as a subject with clearly defined objectives and outcomes that can be reliably measured by devices readily at hand or easily constructed by teachers or researchers. Because of this reason, the first large-scale computerized curriculum projects were in mathematics, and the first educational computer games were mathematics games. And now, the entire mathematics curriculum appears to be the first of the traditional school curriculum areas to be undergoing substantial trasformation because of computers. Recently, many research-Institutes of our country are going to study on computers in orders to use it in mathematics education, but the study is still start ing-step. In order to keep abreast of this trend necessity, and to enhance mathematics teaching/learning which is instructed lecture-based teaching/learning at the present time, this study aims to develop/present practical method of computer-using. This is devided into three methods. 1. Programming teaching/learning method This part is presented the following five types which can teach/learn the mathematical concepts and principle through concise program. (Type 1) Complete a program. (Type 2) Know the given program's content and predict the output. (Type 3) Write a program of the given flow-chart and solve the problem. (Type 4) Make an inference from an error message, find errors and correct them. (Type 5) Investigate complex mathematical fact through program and annotate a program. 2. Problem-solving teaching/learning method solving This part is illustrated how a computer can be used as a tool to help students solve realistic mathematical problems while simultaneously reinforcing their understanding of problem-solving processes. Here, four different problems are presented. For each problem, a four-stage problem-solving model of polya is given: Problem statement, Problem analysis, Computer program, and Looking back/Looking ahead. 3. CAI program teaching/learning method This part is developed/presented courseware of sine theorem section (Mathematics I for high school) in order to avail individualized learning or interactive learning with teacher. (Appendix I, II)