• 한국한의학연구원논문집
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• 제11권1호
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• pp.109-118
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• 2005

In a field of oriental medicine, it is necessary to collect systemically clinical data and integrate. Input data items was decided, then categorized by the modules through discussion of the institute and hospitals. Items are information of patient, history, aspects of occurrence, pattern identification, prescriptions of herbal medicine, the results of biochemical serum examination, blood cell count, urine analysis, CT, MRI, Chest PA, EKG etc. Factors in oriental medicine are Sasang constitution, Stroke-Pattern-Identification(china), differentiation of cold and heat syndrome. This tool was constructed by using Microsoft-Access 2000 and Microsoft Visual Basic 6.0. Furthermore this web-based system could be applied to multi-center clinical investigation.

• 전산구조공학
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• 제2권2호
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• pp.113-119
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• 1989

기존구조물의 안전성검토와 관련하여 구조물의 강성에 대한 현재상태를 추정하는 방법에 대하여 연구하였다. 구조계의 동특성계수들을 입력지진기록과 이에 의한 거동응답의 측정기록을 바탕으로 추정하였는데, 이때에 Extened Kalman Filtering기법을 사용하였다. 이를 위하여 상태방정식을 통상의 시간영역에서 구성하는 방법과 주파수영역에서 구성하는 방법을 제시하였다. 이 기법들의 검증은 시뮬레이션기법에 의한 방법과 함께 Shaking Table에 설치된 소형구조모형을 이용한 실험적 방법으로 수행되었다.

• 한국균학회지
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• 제47권4호
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• pp.303-311
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• 2019

An identification key to twenty-nine species of Porina known from Vietnam is provided. In addition, new records of Porina eminentior, P. meridionalis and P. nuculastrum are described from the protected rain forests in southern Vietnam. A detailed taxonomic account of the newly reported species is provided and supported by its ecology, distribution, and illustrations.

• 한국가금학회지
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• 제22권2호
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• pp.97-104
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• 1995

Recently, DNA fingerprinting has been utilized as the most powerful tool for genetic analysis and improvement of poultry. This technique enables us to solve several problems of poultry breeding ; traits of low heritability, difficulty in keeping the performance records, measuring in late of life, and sex limited traits. Application of DNA fingerprinting is chiefly focused to individual and population identification, evolution force, quantitative trait marker, introgression of new gene, and prediction of heterosis. Thus, research work on DNA fingerprinting will he accelerated to analyze genetic components exactly and improve the performance of poultry.

• Nuclear Engineering and Technology
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• 제49권2호
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• pp.342-348
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• 2017

Precursor analysis is widely used in the nuclear industry to judge the significance of events relevant to safety. However, in case of events that may damage equipment through effects that are not ordinary functional dependencies, the analysis may not always fully appreciate the potential for further evolution of the event. For fires, which are one class of such events, this paper discusses modelling challenges that need to be overcome when performing a probabilistic precursor analysis. The events used to analyze are selected from the Organisation for Economic Cooperation and Development (OECD) Fire Incidents Records Exchange (FIRE) Database.

• Journal of Species Research
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• 제2권2호
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• pp.167-184
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• 2013

Korean species of Antochini crane flies (Diptera: Limoniidae) are taxonomically revised. Identification keys, redescriptions and illustrations of all species and both sexes are presented. Antocha (Antocha) dentifera Alexander, 1924, Antocha (Antocha) dilatata Alexander, 1924 and Elliptera zipanguensis zipanguensis Alexander, 1924 are listed as new records for the Korean peninsula; Limnorimarga limonioides (Alexander, 1945) as new for South Korea. Females of A. (A.) dentifera, A. (A.) integra Alexander, 1940 and L. limonioides are described for the first time.

• Mycobiology
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• 제41권2호
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• pp.73-76
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• 2013

The following new species for the lichen genus Graphis in Korea are reported: G. chlorotica, G. nanodes and G. tenuirima. A brief description of these species, together with their distribution, ecology, and illustrations are provided. A key to all known species of this genus from Korea is also presented.

• 한국컴퓨터정보학회논문지
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• 제24권6호
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• pp.1-9
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• 2019

Hard disks, which have long been used as secondary storage in computing systems, are increasingly being replaced by solid state drives (SSDs), due to their relatively fast data input / output speeds and small, light weight. SSDs that use NAND flash memory as a storage medium are significantly different from hard disks in terms of physical operation and internal operation. In particular, there is a feature that data overwrite can not be performed, which causes erase operation before writing. In order to solve this problem, a hot data for frequently updating a data for a specific page is distinguished from a cold data for a relatively non-hot data. Hot data identification helps to improve overall performance by identifying and managing hot data separately. Among the various hot data identification methods known so far, there is a technique of recording consecutive write requests by using a Bloom filter and judging the values by hot data. However, the Bloom filter technique has a problem that a new bit array must be generated every time a set of items is changed. In addition, since it is judged based on a continuous write request, it is possible to make a wrong judgment. In this paper, we propose a method using a counting filter for accurate hot data verification. The proposed method examines consecutive write requests. It also records the number of times consecutive write requests occur. The proposed method enables more accurate hot data verification.

• Structural Engineering and Mechanics
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• 제43권2호
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• pp.179-197
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• 2012

This study presents the findings of the structural health monitoring and the real time system identification of one of the first large scale building instrumentations in Turkey for earthquake safety. Within this context, a thorough review of steps in the instrumentation, monitoring is presented and seismic performance evaluation of structures using both nonlinear pushover and nonlinear dynamic time history analysis is carried out. The sensor locations are determined using the optimal sensor placement techniques used in NASA for on orbit modal identification of large space structures. System identification is carried out via the stochastic subspace technique. The results of the study show that under ambient vibrations, stocky buildings can be substantially stiffer than what is predicted by the finite element models due to the presence of a large number of partitioning walls. However, in a severe earthquake, it will not be safe to rely on this resistance due to the fact that once the partitioning walls crack, the bare frame contributes to the lateral stiffness of the building alone. Consequently, the periods obtained from system identification will be closer to those obtained from the FE analysis. A technique to control the validity of the proportional damping assumption is employed that checks the presence of phase difference in displacements of different stories obtained from band pass filtered records and it is confirmed that the "proportional damping assumption" is valid for this structure. Two different techniques are implemented for identifying the influence of the soil structure interaction. The first technique uses the transfer function between the roof and the basement in both directions. The second technique uses a pre-whitening filter on the data obtained from both the basement and the roof. Subsequently the impulse response function is computed from the scaled cross correlation between the input and the output. The overall results showed that the structure will satisfy the life safety performance level in a future earthquake but some soil structure interaction effects should be expected in the North South direction.

• Smart Structures and Systems
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• 제16권1호
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• pp.163-181
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• 2015

This research investigates the structural health monitoring of nonlinear structures after a major seismic event. It considers the identification of flag-shaped or pinched hysteresis behavior in response to structures as a more general case of a normal hysteresis curve without pinching. The method is based on the overall least squares methods and the log likelihood ratio test. In particular, the structural response is divided into different loading and unloading sub-half cycles. The overall least squares analysis is first implemented to obtain the minimum residual mean square estimates of structural parameters for each sub-half cycle with the number of segments assumed. The log likelihood ratio test is used to assess the likelihood of these nonlinear segments being true representations in the presence of noise and model error. The resulting regression coefficients for identified segmented regression models are finally used to obtain stiffness, yielding deformation and energy dissipation parameters. The performance of the method is illustrated using a single degree of freedom system and a suite of 20 earthquake records. RMS noise of 5%, 10%, 15% and 20% is added to the response data to assess the robustness of the identification routine. The proposed method is computationally efficient and accurate in identifying the damage parameters within 10% average of the known values even with 20% added noise. The method requires no user input and could thus be automated and performed in real-time for each sub-half cycle, with results available effectively immediately after an event as well as during an event, if required.