• Genomics & Informatics
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• v.11 no.4
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• pp.277-281
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• 2013

RNA analysis has become a reliable method of body fluid identification for forensic use. Previously, we developed a combination of four multiplex quantitative PCR (qRT-PCR) probes to discriminate four different body fluids (blood, semen, saliva, and vaginal secretion). While those makers successfully identified most body fluid samples, there were some cases of false positive and negative identification. To improve the accuracy of the identification further, we tried to use multiple markers per body fluid and adopted the NanoString nCounter system instead of a multiplex qRT-PCR system. After measuring tens of RNA markers, we evaluated the accuracy of each marker for body fluid identification. For body fluids, such as blood and semen, each body fluid-specific marker was accurate enough for perfect identification. However, for saliva and vaginal secretion, no single marker was perfect. Thus, we designed a logistic regression model with multiple markers for saliva and vaginal secretion and achieved almost perfect identification. In conclusion, the NanoString nCounter is an efficient platform for measuring multiple RNA markers per body fluid and will be useful for forensic RNA analysis.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.552-555
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• 2017

It is de-identification that emerged to find the trade-off between the use of big data and the protection of personal information. In particular, in the field of medical that deals with various semi-identifier information and sensitive information, de-identification must be performed in order to use medical consultation such as EMR and voice, KakaoTalk, and SNS. However, there is no separate law for medical information protection and legislation for de-identification. Therefore, in this study, we present the current status of de-identification of personal information, the status and case of de-identification of medical information, and finally we provide issues and solutions for medial information protection and de-identification.

• International Journal of Quality Innovation
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• v.3 no.2
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• pp.174-182
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• 2002

System identification and controller formulation are essential in dynamic process control. In system identification, data for system identification are obtained, and then they are analyzed so that the system model of the process is built, identified, and diagnosed. In controller formulation, the control equation is derived based on the result of the system identification. There has been much theoretical research on system identification and controller formulation. These theories are very useful when they are appropriately applied. To our regret, however, these theories are not always effectively applied in practice because the engineers and the operators who manage the process often do not have the necessary understanding of required time series analysis methods. On the other hand, because of widespread use of statistical packages, system identification such as estimating ARMA models can be done with little understanding of time series analysis methods. Therefore, it might be said that the most theoretically difficult part in practice is the controller formulation. In this paper, lists of control equations are proposed as a useful tool for practitioners to use. The tool supports bridging the gap between theory and practice in dynamic process control. Also, for some models, the generalized control equations are obtained.

• Journal of Physiology & Pathology in Korean Medicine
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• v.26 no.1
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• pp.113-119
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• 2012

The aim of this study was to investigate the differences in blood homocysteine levels and blood d-dimer levels of cerebral infarction patients categorized by Pattern Identification. We studied hospitalized patients within 4 weeks after the onset of stroke who were admitted to the Oriental Internal Medical Department at Semyung University Chungju Oriental Medical Hospital from May 2008 to September 2009. We analyzed risk factors and blood homocysteine levels and blood d-dimer levels accordings to Pattern Identification in Cerebral infarction patients. A total of 49 patients were included in the trial. No statistical significance was noted for any characteristics except body weight and body mass index. Body weight and body mass index were significantly higher Dampness-Phlegm pattern. On past history of patients, prevalence of DM was significantly higher in Fire-Heat pattern than that of other patterns. There was no significant difference of blood homocysteine levels and blood d-dimer levels among Pattern Identification. This study investigated the differences in blood homocysteine levels and blood d-dimer levels of cerebral infarction patients categorized by Pattern Identification. The correlation in homocysteine and d-dimer levels and Pattern Identification was not clarified.

• Smart Structures and Systems
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• v.23 no.2
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• pp.195-205
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• 2019

An accurate non-model-based method for delamination identification of laminated composite plates is proposed in this work. A weighted mode shape damage index is formulated using squared weighted difference between a measured mode shape of a composite plate with delamination and one from a polynomial that fits the measured mode shape of the composite plate with a proper order. Weighted mode shape damage indices associated with at least two measured mode shapes of the same mode are synthesized to formulate a synthetic mode shape damage index to exclude some false positive identification results due to measurement noise and error. An auxiliary mode shape damage index is proposed to further assist delamination identification, by which some false negative identification results can be excluded and edges of a delamination area can be accurately and completely identified. Both numerical and experimental examples are presented to investigate effectiveness of the proposed method, and it is shown that edges of a delamination area in composite plates can be accurately and completely identified when measured mode shapes are contaminated by measurement noise and error. In the experimental example, identification results of a composite plate with delamination from the proposed method are validated by its C-scan image.

• The korean journal of orthodontics
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• v.49 no.1
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• pp.32-40
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• 2019

Objective: Precise identification of landmarks on posteroanterior (PA) cephalograms is necessary when evaluating lateral problems such as facial asymmetry. The aim of the present study was to investigate whether the use of lateral (LA) cephalograms can reduce errors in landmark identification on PA cephalograms. Methods: Five examiners identified 16 landmarks (Cg, N, ANS, GT, Me, RO, Lo, FM, Z, Or, Zyg, Cd, NC, Ms, M, and Ag) on 32 PA cephalograms with and without LA cephalograms at the same time. The positions of the landmarks were recorded and saved in the horizontal and vertical direction. The mean errors and standard deviation of landmarks location according to the use of LA cephalograms were compared for each landmark. Results: Relatively small errors were found for ANS, Me, Ms, and Ag, while relatively large errors were found for N, GT, Z, Or, and Cd. No significant difference was found between the horizontal and vertical errors for Z and Or, while large vertical errors were found for N, GT, and Cd. The value of identification error was lower when the landmarks were identified using LA cephalograms. Statistically significant error reductions were found at N and Cd with LA cephalograms, especially in the vertical direction. Conclusions: The use of LA cephalograms during identification of landmarks on PA cephalograms could help reduce identification errors.

• The Research Journal of the Costume Culture
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• v.27 no.3
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• pp.206-221
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• 2019

This study examined the causal relations among brand personality, brand identification, and brand equity of Korean SPA brands that target Chinese consumers. Data were collected from 600 Chinese consumers residing in Beijing and Shanghai from August 15th to August 30th of 2015 by using convenience sampling; 561 of the questionnaires were used in the statistical analyses. Structural equation models were employed using AMOS 22.0. The results were as follows. First, the factors of Korean SPA brand personality, such as sophistication, competence, tenacity, and interest, exerted significant influences on the brand identification, while honesty had no significant influence on brand identification. Second, brand identification had significant influence on brand awareness, brand image, and brand loyalty. Third, brand awareness showed significant influence on brand image and brand loyalty. Fourth, brand image had significant influence on brand loyalty. These results indicated that brand equity can be strengthened by enhancing brand identification with the proper brand personality. This demonstrates that if Chinese consumers can associate Korean SPA brands with a sophisticated, attractive image, brand identification may be improved and brand equity may be strengthened in the long run, providing basic data for establishing efficient marketing strategies for Korean SPA brands in the Chinese market.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.14 no.6
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• pp.79-89
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• 2004

Fingerprint identification consists of user enrollment phase storing user's fingerprint in a database and user identification phase making a candidate list for a given fingerprint. straightforward approach to perform the user identification phase is to scan the entire database sequentially, and takes times for large-scale databases. In this paper, we develop a hardware design which can perform the user identification phase in real-time. Our design employs parallel processing techniques and has been implemented on a PCI-based platform containing an FPGA and SDRAMs. Based on the performance evaluation, our hardware implementation can provide a scalability and perform the fingerprint identification in real-time.

• Journal of Korea Game Society
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• v.21 no.6
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• pp.41-50
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• 2021

Character identification is illustrated in terms of game players' altered self-perception during gameplay. Research has shown that players' identification with game characters resulted in game players aligning their attitude with game character. This study investigates the relationships among control, ownership, character customization, identification, flow with game charater, and the impact on game players' behavior toward item purchase and play intention. Empirical results showed that character ownership and character customization significantly predicted use-character identification, but the impact of character control was not supported. In addition, the positive relationships between identification and flow was supported.

• Journal of Biomedical Engineering Research
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• v.43 no.6
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• pp.441-447
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• 2022

In this paper, we propose a pill identification model using engraved text feature and image feature such as shape and color, and compare it with an identification model that does not use engraved text feature to verify the possibility of improving identification performance by improving recognition rate of the engraved text. The data consisted of 100 classes and used 10 images per class. The engraved text feature was acquired through Keras OCR based on deep learning and 1D CNN, and the image feature was acquired through 2D CNN. According to the identification results, the accuracy of the text recognition model was 90%. The accuracy of the comparative model and the proposed model was 91.9% and 97.6%. The accuracy, precision, recall, and F1-score of the proposed model were better than those of the comparative model in terms of statistical significance. As a result, we confirmed that the expansion of the range of feature improved the performance of the identification model.