• International Journal of Computer Science & Network Security
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• v.24 no.8
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• pp.169-173
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• 2024

Nowadays high security is an important issue for most of the secure places and recent advances increase the needs of high-security systems. Therefore, needs to high security for controlling and permitting the allowable people to enter the high secure places, increases and extends the use of conventional recognition methods. Therefore, a novel identification method using retinal images is proposed in this paper. For this purpose, new mathematical functions are applied on corners and bifurcations. To evaluate the proposed method we use 40 retinal images from the DRIVE database, 20 normal retinal image from STARE database and 140 normal retinal images from local collected database and the accuracy rate is 99.34 percent.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2004.11a
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• pp.327-332
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• 2004

Leak noise is a good source to identify the exact location of a leak point of underground water pipelines. Water leak generates broadband noise from a leak location and can be propagated to both directions of water pipes. This sound propagation due to leak in water pipelines is not a non-dispersive wave any more because of the surrounding pipes and soil. However, the necessity of long-range detection of this leak location makes to identify low-frequency acoustic waves rather than high frequency ones. Acoustic wave propagation coupled with surrounding boundaries including cast iron pipes is theoretically analyzed and the wave velocity was confirmed with experiment. The leak locations were identified both by the acoustic emission (AE) method and the cross-correlation method. In a short-range distance, both the AE method and cross-correlation method are effective to detect leak position. However, the detection for a long-range distance required a lower frequency range accelerometers only because higher frequency waves were attenuated very quickly with the increase of propagation paths. Two algorithms for the cross-correlation function were suggested, and a long-range detection has been achieved at real underground water pipelines longer than loom.

• Journal of Society of Preventive Korean Medicine
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• v.19 no.3
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• pp.45-55
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• 2015

Objective : The aim of this study was to survey the present utilization of pattern identification(PI) in the clinical field among Korean Medicine Doctors. Method : This survey was conducted from Oct. 1 to Oct. 31, 2014 by face-to-face interview using structured questionnaire. The subjects were 400 korean medicine doctors who worked in hospitals or clinics. The questionnaire consisted of two sections - a demographics section(i.e., sex, age, clinical experience, place of work, residence and so on) and the main research section(i.e., the PI utilization rate, the utilization of PI systems, the utilization of PI in the clinical domain and in the treatment domain, the correlation between utilization PI and so on). Results : This study revealed that subjects used the PI to 66.7% of their patients on average. The utilization rate of PI in patients was significantly higher for female physicians than for male physicians, for physicians worked in clinics than for physicians who worked in hospitals and for physicians with more than 10 years clinical experience than for physicians with less than 10 years clinical experience. In the utilization of PI systems, Visceral PI was most as 92.0%. There were significant difference on the PI utilization rate according to utilization of Meridian and Collateral PI, Triple Energizer PI, Defense, Qi, Nutrient and Blood PI, Six-Meridian PI and Six Excesses PI. As a result of analysing the PI utilization rate by clinical domain and in the treatment domain, the Treatment and the Drug Treatment showed the highest values. Among utilized PI systems, the correlation coefficients between Defense, Qi, Nutrient and Blood PI and Triple Energizer PI showed the highest value, but the correlation coefficients between Sasang Constitutional Medicine with the each PI showed substantially lower value. Conclusion : The results of this study demonstrate that usage of PI was higher than usage of U code(in KCD) usage in clinical field. we suggested that additional studies on using PI and developing more appropriate standardized tool should be conducted to widen scope of PI's utilization.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.16
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• pp.6571-6574
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• 2014

Background: Alcohol is well established as a risk factor for cancer development in many organ sites. To assess the reliability and validity of the Alcohol Use Disorders Identification Test - Consumption (AUDIT-C) for detecting alcohol use disorders or risky drinking in Japanese adults the present study was conducted. Materials and Methods: A test-retest method was applied with a 2-week interval with 113 health care employees. The k coefficient, Cronbach's coefficient alpha, Spearman's correlation coefficient, and intraclass correlation coefficient (ICC) were determined and the validity of the AUDIT-C was analyzed using the data from a nationwide survey on adult alcohol use conducted in 2008 (n=4,123). Results: The reliability of the AUDIT-C score was high (${\kappa}$ coefficient=0.63, Cronbach's alpha=0.98, correlation coefficient=0.95, and ICC=0.95). According to the likelihood ratio and Youden index, appropriate cutoffs for the AUDIT-C were ${\geq}5points$ in men and ${\geq}4$ points in women. The sensitivity and specificity of these cutoffs for identifying ${\geq}8$ points on the AUDIT were 0.88 and 0.80, respectively, for men (positive likelihood ratio [LR+]=4.5) and 0.96 and 0.87, respectively, for women (LR+=7.7). The sensitivity and specificity of the cutoffs for identifying ${\geq}12$ points on the AUDIT were 0.90 and 0.84, respectively, for men (LR+=5.8) and 0.93 and 0.94, respectively, for women (LR+=15.8). The sensitivity and specificity of the cutoffs for identifying ${\geq}16$ points on the AUDIT were 0.93 and 0.80, respectively, for men (LR+=4.7) and 0.92 and 0.98, respectively, for women (LR+=55.6). With higher scores on the AUDIT, the specificity decreased and false-positives increased. The appropriate cutoffs for identifying risky drinking were the same for both genders. Conclusions: The reliability and validity of the AUDIT-C are high, indicating that it is useful for identifying alcohol use disorders or risky drinking among the general population in Japan, a group at high risk of cancer development.

• International Journal of Highway Engineering
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• v.12 no.2
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• pp.51-61
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• 2010

According as the quality of life is improved along with economic growth, in the road plan and design sector also, it is now progressed that function oriented design is changed into the landscape oriented design that considers eyesight and emotion, which are psychological properties of users. Accordingly this study tries to come up with reasonable and objective methods to extract various emotional adjectives, which were found by the survey, while minimizing difference among characteristics of emotion and cognition of individuals. First, given semantic differential, based on various emotional adjectives that were found through the survey with the scale up to five points, the author extracted representative emotional adjectives through an element analysis, which is a conventional method of the previous research, and through an identification analysis which is suggested by this study, and then established model I of Quantification. And by using the established quantification model, the author presumed satisfaction degree, and through verifying pair wise comparison with actual satisfaction degree, the author found the results from identification and correlation analysis methods are most similar to actual satisfaction degree. As a result, the author could check the above emotional and correlation analyses were appropriate methods for comprehending which emotional elements are applicable when a continuous road landscape is designed by identification and correlation analyses.

• Journal of Physiology & Pathology in Korean Medicine
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• v.22 no.6
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• pp.1368-1373
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• 2008

This study was done to calculate the specific indicators of Fire-Heat Pattern Identification and Yin Deficiency Pattern Identification settled by tentative Korean Standard Differentiation of the Symptoms and Signs for Stroke. The subjects were 764 hospitalized patients with stroke, and a list of registry was made for each of them. Frequency and Correlations among Fire-Heat and Yin Deficiency indicators were studied. Fire-Heat pattern group included 175 patients out of 764, Yin Deficiency pattern group included 103 patients out of 764. Among the indicators of Fire-Heat pattern, those, in order of highest frequency, were 'heat vexation and aversion to heat', 'reddened complexion', 'thirst'. Among the indicators of Yin Deficiency pattern, those, in order of highest frequency, were 'dry mouth', 'red tongue', 'fine and rapid pulse'. Among the Fire-Heat pattern indicators, 'yellow fur' and 'thirst', 'heat vexation in the chest' and 'vexation and insomnia' showed most significant correlation. Among the Yin Deficiency pattern indicators, 'aphtha or tongue sore' and 'heat in the palms and soles', 'red tongue' and 'dry fur' showed most significant correlation. 'Reddened complexion', 'dry eyes', 'surging and parid pulse', 'heat vexation and aversion to heat' are classify between Fire-Heat pattern and Yin Deficiency pattern. 'Surging and parid pulse', 'Reddened complexion' are mostly representative of Fire-Heat pattern and 'fine and rapid pulse' are mostly representative of Yin Deficiency pattern.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2001.12a
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• pp.233-236
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• 2001

In this paper, we propose a TSK-type fuzzy classifier using PCA(Principal Component Analysis), FCM(Fuzzy C-Means) clustering and hybrid GA(genetic algorithm). First, input data is transformed to reduce correlation among the data components by PCA. FCM clustering is applied to obtain a initial TSK-type fuzzy classifier. Parameter identification is performed by AGA(Adaptive Genetic Algorithm) and RLSE(Recursive Least Square Estimate). we applied the proposed method to Iris data classification problems and obtained a better performance than previous works.

• Journal of the Korean Statistical Society
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• v.31 no.2
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• pp.199-212
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• 2002

This article introduces transfer function model (TFM) with conditional heteroscedasticity where ARCH concept is built into the traditional TFM of Box and Jenkins (1976). Model building strategies such as identification, estimation and diagnostics of the model are discussed and are illustrated via empirical study including simulated data and real data as well. Comparisons with the classical TFM are also made.

• Journal of the Semiconductor & Display Technology
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• v.10 no.3
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• pp.89-94
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• 2011

The image identification methodology associates an image with a unique identifiable representation. Whenever the methodology regenerates an identifier for the same image, moreover, the newly created identifier needs to be consistent in terms of representation value. In this paper, we discuss a methodology for image identifier generation utilizing luminance correlation. We furthermore propose a method for performance enhancement of the image identifier generation. We also demonstrate the experimental evaluations for uniqueness and similarity analysis and performance improvement that have shown favorable results.

• Proceedings of the Korean Society of Fisheries Technology Conference
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• 2001.05a
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• pp.252-254
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• 2001

A great deal of effort has been put into the identification of Alexandrium tamarense/fundyense/catenella complex by understanding correlation between morphological and subcellular characteristics. To date, the most promising tool for the study of these species is sequence analyses of rRNA genes that have been useful for various organisms' taxonomy and phylogeny, and its application such as in situ hybridization. (omitted)