• 응용통계연구
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• 제7권1호
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• pp.131-140
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• 1994

패턴분류대상이 되는 자료로부터 패턴식별함수를 찾고 패턴분류에 적용시키기 위하여, 우선 이러한 자료에 몇 개의 패턴이 존재하는지를 알아야 하는 문제점에 대하여 고려하였다. 수집된 자료가 단일분포로부터 발생하였는지 또는 두 개의 혼합분포로부터 발생하였는지를 판단하는 기준을 표본분산의 특성값인 분산의 부트스트랩 추정값 (bootstrap estimate)으로 설정하였다. 새로운 판단기준의 특성에 대하여 살펴보고 시뮬레이션을 통하여 판단기준의 적합성을 연구하였다.

• Parasites, Hosts and Diseases
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• 제40권1호
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• pp.25-31
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• 2002

We describe a riboprinting scheme for identification of unknown Acanthamoeba isolates at the species level. It involved the use of PCR-RFLP of small subunit ribosomal RNA gene (riboprint) of 24 reference strains by 4 kinds of restriction enzymes. Seven strains in morphological group I and III were identified at species level with their unique sizes of PCR product and riboprint type by Rsa 1. Unique RFCP of 17 strains in group II by Dde I. Taq I and Hae III were classified into: (1) four taxa that were identifiable at the species level. (2) a subgroup of 4 taxa and a pair of 2 taxi that were identical with each other. and (3) a species complex of 7 taxa assigned to A. castellanii complex that were closely related. These results were consistent with those obtained by 18s rDNA sequence analysis. This approach provides an alternative to the rDNA sequencing for rapid identification of a new clinical isolate or a large number of environmental isolates of Acanthamoeba.

• 생약학회지
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• 제22권2호
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• pp.128-133
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• 1991

Sengwe Dan(生胃丹) is a Chinese patent medicine, which is used for stomachic disorder, heavy drinking, voracious eating, acute and chronic indigestion, diarrhea, nausea and vomiting in Korea. In the future, the demand for the drug is likely to increase, as the number of aged people increases. This medicine is in the large of pills consisting 19 kinds of powdered crude drugs. For the identification of individual ingredients in such powdery mixtures, microscopic method may advantageously be used as it requires only a small amount of specimens. In this paper, the effectiveness of this method is exemplified by the identification of the ingredients in Seng-We-Dan which contains 19 powdered crude drug ingredients.

• 한국지능시스템학회논문지
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• 제2권3호
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• pp.40-49
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• 1992

In this paper, an approach to identify fuzzy rules is proposed. The decision of the optimal number of fuzzy rule is made by means of fuzzy c-means clustering. The identification of the parameters of fuzzy implications is carried out by use of genetic algorithms. For the efficinet and fast parameter identification, the reduction thechnique of search areas of genetica algorithms is proposed. The feasibility of the proposed approach is evaluated through the identification of the fuzzy model to describe an input-output relation of Gas Furnace. Despite the simplicity of the propsed apprach the accuracy of the identified fuzzy model of gas furnace is superior as compared with that of other fuzzy modles.

• Smart Structures and Systems
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• 제18권3호
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• pp.389-403
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• 2016

Structural deflection can be identified from measured strains from long gague sensors, but the sensor layout scheme greatly influences on the accuracy of identified resutls. To determine the optimal sensor layout scheme for accurate deflection identification of the tied arch bridge, the method of optimal layout of long-gauge fiber optic sensors is studied, in which the characteristic curve is first developed by using the bending macro-strain curve under multiple target load conditions, then optimal sensor layout scheme with different number of sensors are determined. A tied arch bridge is studied as an example to verify the effectiveness and robustness of the proposed method for static and dynamic deflection identification.

• 음성과학
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• 제11권3호
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• pp.131-142
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• 2004

Speaker identification system basically functions by comparing spectral energy of an individual production model with that of an input signal. This study aimed to develop a new speaker identification system from two parameters from the spectral energy of numeric sounds: difference sum and correlation coefficient. A narrow-band spectrogram yielded more stable spectral energy across time than a wide-band one. In this paper, we collected empirical data from four male speakers and tested the speaker identification system. The subjects produced 18 combinations of three-digit numeric. sounds !en times each. Five productions of each three-digit number were statistically averaged to make a model for each speaker. Then, the remaining five productions were tested on the system. Results showed that when the threshold for the absolute difference sum was set to 1200, all the speakers could not pass the system while everybody could pass if set to 2800. The minimum correlation coefficient to allow all to pass was 0.82 while the coefficient of 0.95 rejected all. Thus, both threshold levels can be adjusted to the need of speaker identification system, which is desirable for further study.

• 한국안전학회지
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• 제20권2호
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• pp.119-126
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• 2005

Load bearing structural members in a wide variety of applications accumulate damage over their service life. From a standpoint of both safety and performance, it is desirable to monitor the occurrence, location, and extent of such damage. Structures require complicated element models with a number of degrees of freedom in structural analysis. During experiment much effort and cost is needed for measuring structural parameters. The sparseness and errors of measured data have to be considered during the parameter estimation Of Structures. In this paper we introduces damage identification algorithm by a system identification(S.I) using static and dynamic response. To study the behaviour of the estimators in noisy environment Using Monte Carlo simulation and a data measured perturbation scheme is adopted to investigate the influence of measurement errors on identification results. The assessment result by static and dynamic response were compared, and the efficiency and applicabilities of the proposed algorithm are demonstrated through simulated static and dynamic responses of a truss bridge. The assessment results by each method were compared and we could observe that the 5.1 method is superior to the other conventional methods.

• Smart Structures and Systems
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• 제7권2호
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• pp.133-152
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• 2011

System identification is a fundamental step towards the application of structural health monitoring and damage detection techniques. On this respect, the development of evolved identification strategies is a priority for obtaining reliable and repeatable baseline modal parameters of an undamaged structure to be adopted as references for future structural health assessments. The paper presents the identification of the modal parameters of the Guangzhou New Television Tower, China, using a data-driven stochastic subspace identification (SSI-data) approach complemented with an appropriate automatic mode selection strategy which proved to be successful in previous literature studies. This well-known approach is based on a clustering technique which is adopted to discriminate structural modes from spurious noise ones. The method is applied to the acceleration measurements made available within the task I of the ANCRiSST benchmark problem, which cover 24 hours of continuous monitoring of the structural response under ambient excitation. These records are then subdivided into a convenient number of data sets and the variability of modal parameter estimates with ambient temperature and mean wind velocity are pointed out. Both 10 minutes and 1 hour long records are considered for this purpose. A comparison with finite element model predictions is finally carried out, using the structural matrices provided within the benchmark, in order to check that all the structural modes contained in the considered frequency interval are effectively identified via SSI-data.

• 대한전자공학회논문지
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• 제9권1호
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• pp.17-24
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• 1972

단순한 외부 측정만으로써 수동 및 능동 회로망에서의 한개의 결함요소(Faulty Element)를 결정하기위해서 벡터를 이용한 한 방법을 연구했다. 큰 회로망은 몇개의 작은 회로망이 연결되었다고 생각할 수 있다. 여러 주파수에서의 전달 함수의 크기와 회로요소의 변화와의 사이에서 일어나는 관계를 이용함으로써 Fault Simulation Curve를 그릴 수 있다. 이곡선으로부터 결함식별영역(Fault Identification Region)을 정의한다. 정의된 결함식별영역에 따라 결함시별 매트릭스(Fault Irlentification Matrix)가 형성된다. 어떤 회로로부터 측정된 치를 성분으로하는 벡터를 결함식별 매트릭스에 곱해줌으로써 다른 한개의 벡터를 유도하는데 이유도된 벡터의 성분이 회로의 결함요소를 식별해주는 것이다. 결함식별방법을 위한 한 시험절차가 계시되고 실험에 의하여 입증되었다.

• 디지털산업정보학회논문지
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• 제7권3호
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• pp.63-74
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• 2011

Credit cards are more convenient than cash of heavy. Therefore, credit cards are used widely in on_line (internet) and off_line in nowadays. To use credit cards on internet is commonly secure because client identification based security card and authentication certificate. However, to use in off_line as like shop, store, department, restaurant is unsecure because of irregular accident. As client identification is not used in off_line use of credit cards, the irregular use of counterfeit, stolen and lost card have been increasing in number recently. Therefore, client identification is urgently necessary for secure card using in off_line. And the method of client identification must be simple, don't take long time, convenient for client, card affiliate and card company. In this paper, we study a reform measure of the structure and transaction process for the safety improvement of a credit cards. And we propose several authentication method of short-and long-term for client identification. In the proposal, the client authentication method by OTP application of smart-phone is efficient nowadays.