• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.06a
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• pp.171-174
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• 2007

A realization for FF-PID(Feed-Forward PID) controlling system with backward propagation algorithm and image pattern recognition is presented in this paper. The pattern recognition used backward propagation of nervous network is teaming. FF-PID is enhanced the response characteristic of moving image by using the controlling value which is output error for the target value of nervous system. In conclusion of experiment, the system is shown that the response is worked as 2.7sec that is enhanced round 15% in comparison with general difference image algorithm. The system is able to control a moving object with effect.

• The Transactions of the Korea Information Processing Society
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• v.7 no.2
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• pp.552-557
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• 2000

In the paper, we proposed a face recognition method that uses GA-BP(Genetic Algorithm-Back propagation Network) that optimizes initial parameters such as bias values or weights. Each pixel in the picture is used for input of the neuralnetwork. The initial weights of neural network is consist of fixed-point real values and converted to bit string on purpose of using the individuals that arte expressed in the Genetic Algorithm. For the fitness value, we defined the value that shows the lowest error of neural network, which is evaluated using newly defined adaptive re-learning operator and built the optimized and most advanced neural network. Then we made experiments on the face recognition. In comparison with learning convergence speed, the proposed algorithm shows faster convergence speed than solo executed back propagation algorithm and provides better performance, about 2.9% in proposed method than solo executed back propagation algorithm.

• The Journal of the Acoustical Society of Korea
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• v.22 no.4
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• pp.315-322
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• 2003

We propose a channel-attentive Mel frequency cepstral coefficient (CAMFCC) extraction method to improve the recognition performance of speech that is partially corrupted in the frequency domain. This method introduces weighting terms both at the filter bank analysis step and at the output probability calculation of decoding step. The weights are obtained for each frequency channel of filter bank such that the more reliable channel is emphasized by a higher weight value. Experimental results on TIDIGITS database corrupted by various frequency-selective noises indicated that the proposed CAMFCC method utilizes the uncorrupted speech information well, improving the recognition performance by 11.2% on average in comparison to a multi-band speech recognition system.

• Proceedings of the KIEE Conference
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• 2006.04a
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• pp.120-121
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• 2006

In this paper, We have designed a face recognition system based on the embedded Linux. This paper has an aim in embedded system to recognize the face more exactly. At first, the contrast of the face image is adjusted with lightening compensation method, the skin and lip color is founded based on YCbCr values from the compensated image. To take advantage of the method based on feature and appearance, these methods are applied to the eyes which has the most highly recognition rate of all the part of the human face. For eyes detecting, which is the most important component of the face recognition, we calculate the horizontal gradient of the face image and the maximum value. This part of the face is resized for fitting the eye image. The image, which is resized for fit to the eye image stored to be compared, is extracted to be the feature vectors using the continuous wavelet transform and these vectors are decided to be whether the same person or not with PNN, to miminize the error rate, the accuracy is analyzed due to the rotation or movement of the face. Also last part of this paper we represent many cases to prove the algorithm contains the feature vector extraction and accuracy of the comparison method.

• Journal of the Korean Society of Tobacco Science
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• v.28 no.1
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• pp.58-66
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• 2006

Threshold limit value (TLV) test between expert and consumer panel was conducted about absolute, recognition and difference threshold respectively. And we tried to suggest appropriate and minimum acceptable menthol concentration level by consumer panel. Determination of threshold value was based on ASTM E 679-79 method by forced-choice ascending concentration series. In addition, a semi-ascending paired difference method was referred to conduct test. The group threshold value was determined as the value of geometric mean individual threshold. The smokers were dividend by two groups, trained and consumer panel. Trained panel was selected according to sensitivity to menthol discrimination. Consumer panel wasrecruited in proportion as population ratios including female smokers. They were all over twenty years old volunteers and summed up thirty four persons. In terms of sensor evaluation, overall difference test with seven-category scale by both trained and consumer panelists were done. On judging correct or incorrect answer, two by three cut-off levels applied to. Every test was conducted with two sessions, before smoking and during smoking period. And, only two samples served each paneI per test with regard to sensory fatigue and reliable results. All tests were replicated, and in total 32 times per panelist. In conclusion, the recognition threshold about consumer and expert panel was 358 ppm/cig. and 276 ppm/cig. in separately. Besides, absolute and difference thresholds were obtained also. And, we conduct difference threshold test with two different ways, upward and downward. And, The results of each method were 246, 195 ppm/cig., 1414, 1336 ppm/cig. and 1047, 972 ppm/cig.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.504-507
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• 2009

Color chart area is automatically extracted in image that captured a crop such as fruits with the color chart, and an approximation formula is obtained for the change in feature value of the color indexes. Comparison is made with the color value of the crop area, and the growing degree is assessed according to the correlation. Using a compact PC equipped with the program, image of fruits is captured, and the output value obtained by the system is compared to the rating by expert. In the automatic recognition of the color chart out of doors, the complete color indexes is correctly acquired in 22 of 29 images. And indoors, they are correctly acquired in all of 34 images. In the color value judgment of the Japanese pear, indoors, 32 of 34 images is within 1.0 of the judgment error (compared the value read off by experts), the average error is about 0.5. These results indicate a practicable value.

• Journal of Electrical Engineering and Technology
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• v.1 no.2
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• pp.257-262
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• 2006

Insulation failure in an electrical utility depends on the continuous stress imposed upon it. Monitoring of the insulation condition is a significant issue for safe operation of the electrical power system. In this paper, comparison of recognition rate variable classification scheme of PD (partial discharge) sources that occur within an electrical utility are studied. To acquire PD data, five defective models are made, that is, air discharge, void discharge and three types of treeinging discharge. Furthermore, these statistical distributions are applied to classify PD sources as the input data for the classification tools. ANFIS shows the highest rate, the value of which is 99% and PCA-LDA and ANFIS are superior to BP in regards to other matters.

• The Korean Journal of Archival Studies
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• no.12
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• pp.37-80
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• 2005

Archival appraisal has been a significant field and demanding task in thoughts and practice about modern archive, in particular, because of insufficiency of resources for the preservation in comparison with the large scale of recorded information. Appraising records does naturally go with the selecting and acquiring them. In the field of appraisal, however, comprehensive accountability on appraisal is much more important than selection and acquisition. The purpose of this study is the proposition of the theoretic approach to the analysis of the factors concerning the archival appraisal. For this purpose, I would try not the actual practice of the archival appraisal but theoretical categories of archival appraisal decision. The archival Characteristic, Value, and Context will be proposed as theoretical categories for the analysis of archival appraisal decision. Firstly, Characteristic category makes it clear to identify the reliable and authentic records, and then, Value provides us with elucidation about the appraisers' recognition of values. Lastly, Context explains the priority of selection throughout creating, using, interrelationship, and social meaning of archives.

• Proceedings of the IEEK Conference
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• 1999.11a
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• pp.560-563
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• 1999

In this paper, we present an optimal hardware implementation for preprocessing of a person identification algorithm utilizing vein pattern of dorsal surface of hand. For the vein pattern recognition, the computational burden of the algorithm lies mainly in the preprocessing of the input images, especially in lowpass filtering. we could reduce the identification time to one tenth by hardware design of the lowpass filter compared to sequential computations. In terms of the computation accuracy, the simulation results show that the CSD code provided an optimized coefficient value with about 91.62% accuracy in comparison with the floating point implementation of current coefficient value of the lowpass filter. The post-simulation of a VHDL model has been performed by using the ModelSim$^{TM}$. The implemented chip operates at 20MHz and has the operational speed of 55.107㎳.㎳.

• Health Policy and Management
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• v.10 no.1
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• pp.111-125
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• 2000

To compare the differences in the recognition on hospital utilization and satisfaction, 368 hospital employees and 485 patients were selected in four hospitals in Seoul and Kyung-gi do. The survey was done using a constructed form of checklist from Apr. 30 to May 10, 1999. And the results are as follows: l. Gaining knowledge of hospitals available among hospital employees differed from that of patients. When finding out about sources of information concerning hospitals, direct visit to the hospital was recognized to be the main factor for the hospital employees in contrast to the patients' recognition which were mass media, personal involvement of job related workplace and recommendations from other hospitals. There was no difference between university and general hospitals. 2. The factors that concern which hospital to choose there was a difference between hospital employees and patients. Hospital employees recommended their own hospital solely based on the reason that it was their work place. On the other hand, the patients made a choice based on the type of medical staff, transportation available and whether it was a university hospital or not. There was no difference between university and general hospitals. 3. The recognition of employees concerning hospital image of a hospital between hospital employees and patients was different. In university hospitals, the employees recognized the name value of university hospital and cooperation as most important, whereas the patients thought convenience, kindness were the main factors. Patients considered general hospitals to be more convenient. There was some difference between university and general hospitals. For university hospitals employees' recognition was higher and for the general hospital patients' recognition is higher on hospital image. 4. The recognition of employees was different from that of patients' on hospital satisfaction. The patients' satisfaction was higher than that of employees'. There was no difference between university and general hospitals. Based on the above findings, the employees' recognition on hospital utilization and satisfaction was different from that of the patients, but there was no difference between university and general hospitals. In both groups choice of hospital was associated with satisfaction. Results showing difference between employees' and patients' recognition can be applied to implement customer-oriented attitude and be used as a baseline data for internal-external marketing planning of hospital management. The study may be limited in that the results cannot be generalized due to its small sample size and not being able to reflect demographic variables and life style. Further studies to investigate the difference of hospital utilization and hospital satisfaction will be necessary to define demographic characteristics and recognition of employees which influences patients' hospital satisfaction.