• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.750-753
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• 2017

Recently, the processing and utilization of big data, which is generated by the spread of smartphone, SNS, and the internet of things, is emerging as a new growth engine of ICT field. However, in order to utilize such big data, De-identification of personal information should be done. De-identification removes identifying information from a data set so that individual data cannot be linked with specific individuals. De-identification can reduce the privacy risk associated with collecting, processing, archiving, distributing or publishing information, thus it attempts to balance the contradictory goals of using and sharing personal information while protecting privacy. De-identified information has also been re-identified and has been controversial for the protection of personal information, but the number of instances where personal information such as big data is de-identified and processed is increasing. In addition, many de-identification guidelines have been introduced and a method for de-identification of personal information has been proposed. Therefore, in this study, we describe the big data de-identification process and follow-up management, and then compare and analyze de-identification methods. Finally we provide personal information protection issues and solutions.

• Journal of Korean Society of Transportation
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• v.23 no.8 s.86
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• pp.147-152
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• 2005

This study firstly developed a tool for evaluating performance requirements of automatic vehicle identification (AVI) techniques. A microscopic traffic simulator, Paramics, was employed to investigate the effects of AVI performances on the accuracy of estimating section travel times. Mote Carlo simulation approach was incorporated into Paramics to conduct systematic evaluations of identifying required AVI performances. The proposed method in this study can serve as a logical and necessary precursor to field implementation of a variety of AVI techniques toward achieving more reliable traffic information.

• Journal of Oriental Neuropsychiatry
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• v.22 no.1
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• pp.25-35
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• 2011

Objectives : This case series was conducted to report the efficacy of traditional Korean medicine treatments for Hwa-Byung. Methods : Patients were diagnosed with Hwa-byung through Hwa-Byung diagnostic interview schedule(HBDIS). instrument of pattern identification for Hwa-Byung was applied to develop an individualized traditional Korean medicine treatment plan. SCL-90-R, STAI, STAXI, BDI, and instrument of oriental medical evaluation for Hwa-Byung were measured. After 2 weeks of tradiational Korean medicine treatments and K-MBSR practice, STAI, STAXI, BDI, and instrument of oriental medical evaluation for Hwa-Byung were re-assessed to determine the progress of Hwa-Byung. Results : After treatments, chief complaints have improved. STAI, STAXI, BDI and instrument of oriental medical evaluation for Hwa-Byung score have decreased. Conclusions : According to the study, traditional Korean medicine treatments using instrument of pattern identification for Hwa-Byung have shown positive results in managing Hwa-Byung symptoms evaluated by instrument of oriental medical evaluation for Hwa-Byung.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 1998.10a
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• pp.439-446
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• 1998

One of the most important roles in the nonlinear dynamic structural analysis is to select a proper ground excitation, which dominates the response of a structure. Because of the lack of recorded accelerograms in Korea, a stochastic model of ground excitation with various dynamic properties rather than recorded accelerograms is necessarily required. If all information is not available at site, the information from other sites with similar features can be used by the procedure of seismic hazard analysis. Eliopoulos and Wen identified the parameters of the ground motion model by the empirical relations or expressions developed by Trifunac and Lee. Because the relations used in the parameter identification are largely empirical, it is required to apply the artificial neural networks instead of the empirical model. Additionally, neural networks have the advantage of the empirical model that it can continuously re-train the new recorded data, so that it can adapt to the change of the enormous data. Based on the redefined traditional processes, three neural-networks-based models (FAS_NN, PSD_NN and INT_NN) are proposed to individually substitute the Fourier amplitude spectrum, the parameter identification of power spectral density function and intensity function. The paper describes the first half of the research for the development of Neural-Networks-based model for the generation of an Artificial earthquake and a Response Spectrum(NNARS).

• Journal of Aerospace System Engineering
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• v.8 no.4
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• pp.44-51
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• 2014

This thesis analyzes the latest operating concept and status for Air Defense Identification Zone (ADIZ) researching overseas ADIZ CONOPS, international legal basis for ADIZ, the intention & background of proclamation for China Air Defense Identification Zone(CADIZ). Firstly, ADIZ is lawful concerning international connivance for ADIZ where around 20 countries have operated, Article 56 "Rights, jurisdiction & duties of the coastal State" and Article 301 "Peaceful uses of the seas" on the United Nations Convention on the Law of the Sea(UNCLS). Secondly, ADIZ has been regarded as a support means for national interest & policy as well as military air defense one. Thirdly, Based on legal re-interpretation for UNCLS relating to ADIZ, China proclaimed CADIZ where can ensure national maritime policy and strategy including A2/AD(Anti-Access & Area Defence), inroad into the ocean, claim for Senkaku Islands possession, etc..

• The Journal of Korean Medicine
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• v.33 no.4
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• pp.1-8
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• 2012

Objectives: The purpose of this study was to specify major tongue diagnostic indicators and evaluate their significance in discriminating pattern identification subtypes in stroke patients. Methods: This study used a community based multi-center observational design. Participants (n=1,502) were stroke patients admitted to 11 oriental medical university hospitals between December 2006 and February 2010. To determine which tongue indicator affected each pattern identification, a decision tree analysis of the chi-square automatic interaction detector (CHAID) algorithm was performed. The chi-squared test was used as the criterion in splitting data with a p-value less than 0.05 for division, which is the main procedure for developing a decision tree. The minimum sample size for each node was specified as n =10, and branching was limited to two levels. Results: From the 9 tongue diagnostic indicators, 6 major tongue indicators (red tongue, pale tongue, yellow fur, white fur, thick fur, and teeth-marked tongue) were identified through the decision tree analysis. Furthermore, each pattern identification was composed of specific combinations of the 6 major tongue indicators. Conclusions: This study suggests that the 6 tongue indicators identified through the decision tree analysis can be used to discriminate pattern identification subtypes in stroke patients. However, it is still necessary to re-evaluate other pattern identification indicators to further the objectivity and reliability of traditional Korean medicine.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.206-208
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• 2022

As the big data industry has recently developed significantly, interest in privacy violations caused by personal information leakage has increased. There have been attempts to automate this through named entity recognition in natural language processing. In this paper, named entity recognition data is constructed semi-automatically by identifying sentences with de-identification information from de-identification information in Korean Wikipedia. This can reduce the cost of learning about information that is not subject to de-identification compared to using general named entity recognition data. In addition, it has the advantage of minimizing additional systems based on rules and statistics to classify de-identification information in the output. The named entity recognition data proposed in this paper is classified into twelve categories. There are included de-identification information, such as medical records and family relationships. In the experiment using the generated dataset, KoELECTRA showed performance of 0.87796 and RoBERTa of 0.88.

• Animal Systematics, Evolution and Diversity
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• v.30 no.2
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• pp.124-131
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• 2014

The Korean nudibranch faunal study has been conducted since 2011 and five species including Dermatobranchus otome Baba, 1992, Mexichromis festiva (Angas, 1864), Noumea nivalis Baba, 1937, Hoplodoris armata (Baba, 1993), and Okenia hiroi (Baba, 1938) were newly reported with re-descriptions and figures. Also, Noumea purpurea Baba, 1949 was re-described with illustrations because previous records for this species were given without a description. Two congeneric species in the genus Noumea could be distinguished by ground color, dorsal markings, color of the mantle edge and gills, and mantle and dorsal marking. In addition, mitochondrial cytochrome c oxidase subunit I (COI) sequences of five species were provided for further molecular identification study. Consequently, a total of 43 species have been reported for the Korean nudibranch fauna.

• Archives of Pharmacal Research
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• v.5 no.1
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• pp.7-12
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• 1982

Ginsenosides Rb1, Rb2, Rc, Rd, Re, Rf and Rg1 were effectively isolated from ginseng root by preparative liquid chromatography (LC) on two PrepPAK-500/c18 cartridges in series and semipreparative LC on a .mu. Bondapak cabohydrate analysis column, a .mu.Bondapak C18 column or a .mu. Porasil column. The identities of the isolated ginsenosides were confirmed by analytical high-performance liquid chromatography (HPLC) and infrared spectrophotometry. By this method large scale isolation of pure ginsenosides was efficiently accomplished.

• Journal of Korean Society for Quality Management
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• v.34 no.2
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• pp.48-67
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• 2006

In this study, an investigation was done into service qualify factors of infant education Institutes, after which a positive verification was made in the relation of cause and effect between service quality, service value and customer satisfaction. Based on this verification, strategies were presented for plans to improve the service quality of infant education. In addition, identification was made into factors that affect customer satisfaction, re-registration intention and recommendation to others in putting forward service operational strategies for infant education institutes and making a comparative analysis on kindergartens and daycare centers.