• Transactions on Control, Automation and Systems Engineering
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• 제2권1호
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• pp.40-46
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• 2000

In this paper, a transient identification based on a Hidden Markov Model (HMM) has been suggested and evaluated experimentally for the classification of transients in the dynamic process. The transient can be identified by its unique time dependent patterns related to the principal variables. The HMM, a double stochastic process, can be applied to transient identification which is a spatial and temporal classification problem under a statistical pattern recognition framework. The HMM is created for each transient from a set of training data by the maximum-likelihood estimation method. The transient identification is determined by calculating which model has the highest probability for the given test data. Several experimental tests have been performed with normalization methods, clustering algorithms, and a number of states in HMM. Several experimental tests have been performed including superimposing random noise, adding systematic error, and untrained transients. The proposed real-time transient identification system has many advantages, however, there are still a lot of problems that should be solved to apply to a real dynamic process. Further efforts are being made to improve the system performance and robustness to demonstrate reliability and accuracy to the required level.

• 영재교육연구
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• 제14권3호
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• pp.61-82
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• 2004

• 대한한의학회지
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• 제32권2호
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• pp.42-62
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• 2011

Objective: This study was designed to identify and explore the pathological patterns of functional dyspepsia (FD) patients. We also evaluated the usefulness of the Pattern Identification Questionnaire by comparing it with other assessment tools for FD. Methods: We recruited 97 FD patients based on the Rome III criteria for FD diagnosis. The pathological patterns of the subjects were determined by the Pattern Identification Questionnaire. Their dyspepsia-related symptoms were assessed using the Gastrointestinal Symptom Questionnaire (GIS) and the Pyeongwi-san (Pingwei-san) Patternization Questionnaire. Depressive symptoms were evaluated with the Beck Depression Inventory (BDI) and quality of life with the Functional Dyspepsia-Related Quality of Life (FD-QoL) Questionnaire. Tongue coating was measured by the Digital Tongue Diagnosis System (DTDS). Results: The male to female ratio was 1:1.1, and the forties and fifties age groups were largest in number. The spleen deficiency and phlegm-dampness pattern was the most common pattern found among the FD patients. No significant differences in the GIS, BDI, FD-QoL, and DTDS scores were found among the five pattern types. All pattern types showed significant correlation with GIS, Pyeongwi-san Patternization Questionnaire, and FD-QoL scores. Conclusions: Pattern Identification Questionnaire can not only identify the pathological pattern types of FD patients but also evaluate the severity of their symptoms. Compared to conventional assessment tools for FD, it could enable a more dynamic evaluation of FD patients reflecting the severity of dyspeptic symptoms and the quality of life. Further studies on the Pattern Identification of FD patients are anticipated in order to improve the diagnosis and therapy for Korean FD patients.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제5권3호
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• pp.125-138
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• 2016

서비스 지향 개발에서 서비스 식별은 워크플로우, 목표와 시나리오, 유스케이스, 컴포넌트, 휘처, 패턴 등에 기반해서 이루어져 왔다. 그러나, 비즈니스 가치 관점에서 의미적 접근에 의한 서비스의 식별은 아직 구체화되어 있지 않다. 본 논문은 비즈니스 서비스 식별의 정확성을 향상시키기 위하여, XL-BPMN 모델 대상의 구조적 및 의미적 분석에 의한 비즈니스 서비스를 식별하는 방법을 제시한다. 비즈니스 시나리오에 기반해서 비즈니스 프로세스들을 식별하고, 이 프로세스는 XL-BPMN 비즈니스 프로세스 모델로 디자인한다. 이 비즈니스 프로세스 모델에서, 액티비티들간 구조적 패턴과 속성 기반 의미적 유사성의 통합된 분석 결과에 의해 밀접한 액티비티를 바인딩해서 단위 비즈니스 서비스를 식별한다. 이를 통해, 상위 비즈니스 가치 관점의 XL-BPMN 모델을 통한 정확성과 모듈성이 높은 단위 비즈니스 서비스 식별을 할 수 있다. 식별된 서비스의 재사용을 통해서 서비스 지향 개발을 더욱 가속화를 도모할 수 있을 것이다.

• 한국수정란이식학회지
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• 제28권4호
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• pp.355-360
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• 2013

Precise, rapid and simple methods for species identification in animals are among the most important techniques in the livestock industry and research fields including meat classification. In this study, polymerase chain reaction (PCR) based molecular identification using inter species polymorphisms were examined by PCR-restriction fragment length polymorphism (RFLP) analysis for mitochondrial DNA (mtDNA) cytochrome b (CYTB) gene sequences among four mammalian livestock animals (cattle, horse, goat and pig). The results from PCR-RFLP analysis using the AluI restriction enzyme were also provided for the species-specific band patterns among CYTB gene sequences in these four species. The AluI-digestion for CYTB genes provided interesting migration patterns differentially displayed according to each species. Cattle and horse had one AluI-recognition site at different nucleotide positions and their AluI-digested fragments showed different band patterns on the gels. Pig had two AluI-recognition sites within the amplified CYTB sequences and produced three bands on the gels. Goat had no AluI-recognition site and was located at the same position as the uncut PCR product. The results showed the species-specific band patterns on a single gel among the four livestock animal species by AluI-RFLP. In addition, the results from blind tests for the meat samples collected from providers without any records showed the identical information on the species recorded by observing their phenotypes before slaughter. The application of this PCR-RFLP method can be useful and provide rapid, simple, and clear information regarding species identification for various tissue samples originating from tested livestock species.

• 대한한방소아과학회지
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• 제33권3호
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• pp.42-55
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• 2019

Objectives The purpose of this study is to figure out the tendency of the commonly-used-pattern-identification and treatment for Hyperhidrosis by reviewing Korean clinical studies. Methods 18 articles which were published from August, 2004 to December, 2018. were obtained from the National discovery for science leader (NDSL), Research information sharing service (RISS), and Oriental medicine advanced searching integrated system (OASIS) by using keyword 'hyperhidrosis'. Results The most commonly-used-pattern-identification were the patterns with 'Heart' and 'Spleen-stomach'. Hyungbangsabaek-san and Taeeumjowi-tang were the most frequently used herbal medicine. The most common acupoints was LI4. The most common method of assessment was VAS. Conclusions This study identifies the most common pattern identification and treatment for hyperhidrosis. Developing systematic standards of pattern identification and treatment can be possible with further studies.

• Journal of Astronomy and Space Sciences
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• 제31권3호
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• pp.205-214
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• 2014

In this study, a star identification algorithm which utilizes pivot patterns instead of apparent magnitude information was developed. The new star identification algorithm consists of two steps of recognition process. In the first step, the brightest star in a sensor image is identified using the orientation of brightness between two stars as recognition information. In the second step, cell indexes are used as new recognition information to identify dimmer stars, which are derived from the brightest star already identified. If we use the cell index information, we can search over limited portion of the star catalogue database, which enables the faster identification of dimmer stars. The new pivot algorithm does not require calibrations on the apparent magnitude of a star but it shows robust characteristics on the errors of apparent magnitude compared to conventional pivot algorithms which require the apparent magnitude information.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.1046-1050
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• 2003

In general, conventional user identification systems require users to carry a TAG or badge or to remember ID and password. Though biometric identification systems may relieve these problems, they are susceptible to environmental noise to some degree. We propose a natural user identification system, ubiFloor, exploiting user's walking pattern to identify the user. The system identifies a user, while tracking the user's location, with a set of simple ON/OFF switch sensors or equipments. Experimental results show that the proposed system can recognize the registered users at the rate of 92%. Future improvement in recognition rate may be achieved by combining other sensors such as camera, microphone, etc.

• Journal of Microbiology and Biotechnology
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• 제19권3호
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• pp.323-330
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• 2009

Nontuberculous mycobacteria (NTM) are a major cause of opportunistic infections in immunocompromised patients, making the reliable and rapid identification of NTM to the species level very important for the treatment of such patients. Therefore, this study evaluated the usefulness of the novel target genes tuf and tmRNA for the identification of NTM to the species level, using a PCRrestriction fragment length polymorphism analysis (PRA). A total of 44 reference strains and 17 clinical isolates of the genus Mycobacterium were used. The 741 bp or 744 bp tuf genes were amplified, restricted with two restriction enzymes (HaeIII/MboI), and sequenced. The tuf gene-PRA patterns were compared with those for the tmRNA (AvaII), hsp65 (HaeIII/HphI), rpoB (MspI/HaeIII), and 16S rRNA (HaeIII) genes. For the reference strains, the tuf gene-PRA yielded 43 HaeIII patterns, of which 35 (81.4%) showed unique patterns on the species level, whereas the tmRNA, hsp65, rpoB, and 16S rRNA-PRAs only showed 10 (23.3%), 32 (74.4%), 19 (44.2%), and 3 (7%) unique patterns after single digestion, respectively. The tuf gene-PRA produced a clear distinction between closely related NTM species, such as M. abscessus (557-84-58) and M. chelonae (477-84-80-58), and M. kansasii (141-136-80-63-58-54-51) and M. gastri (141-136-117-80-58-51). No difference was observed between the tuf-PRA patterns for the reference strains and clinical isolates. Thus, a diagnostic algorithm using a tuf gene-targeting PRA is a promising tool with more advantages than the previously used hsp65, rpoB, and 16S rRNA genes for the identification of NTM to the species level.

• Journal of Multimedia Information System
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• 제4권4호
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• pp.263-270
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• 2017

Various security threats exist in the smart grid environment due to the fact that information and communication technology are grafted onto an existing power grid. In particular, smart metering data exposes a variety of information such as users' life patterns and devices in use, and thereby serious infringement on personal information may occur. Therefore, we are in a situation where a de-identification algorithm suitable for metering data is required. Hence, this paper proposes a new de-identification method for metering data. The proposed method processes time information and numerical information as de-identification data, respectively, so that pattern information cannot be analyzed by the data. In addition, such a method has an advantage that a query such as a direct range search and aggregation processing in a database can be performed even in a de-identified state for statistical processing and availability.