• Title, Summary, Keyword: Identification

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The Comparison of Pattern Identification Diagnosis According to Symptom Scale Based on Obesity Pattern Identification Questionnaire (한방비만병증 설문지를 바탕으로 증상 척도에 따른 변증진단 비교)

  • Kang, Kyung-Won;Moon, Jin-Seok;Kang, Byung-Gab;Kim, Bo-Young;Shin, Mi-Sook;Choi, Sun-Mi
    • Journal of Korean Medicine for Obesity Research
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    • v.9 no.1
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    • pp.37-44
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    • 2009
  • The study was to investigate the distribution for the diagnosis of pattern identification questionnaire and agreement rate between diagnosis of pattern identification based on obesity pattern identification questionnaire and the clinical diagnosis of pattern' identification by medical specialist. The distribution for the diagnosis of pattern identification based on obesity pattern identification questionnaire was shown in order of stagnation of liver Gi, retention of undigested food, deficiency of Yang at scale of 5, 3, 2 score and the diagnosis rate of single pattern identification at scale of 5, 3, 2 score was 89.96%, 79.33%, 54.64%, respectively the agreement rate between the diagnosis of pattern identification based on obesity pattern identification questionnaire and the clinical diagnosis of pattern identification by medical specialist was 0.1013. Therefore, the complementary management in CRF questionnaires with consultation from experts and the study for score difference of pattern identification will improve the accuracy and agreement rate, which will will be helpful for pattern identification of obesity by clinical experts.

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Personal Identification Based on Radio Signal Strength for Ubiquitous Healthcare Systems

  • Lee, Jong-Shill;Park, Sang-Hae;Chee, Young-Joon;Kim, In-Young;Kim, Sun-I.
    • Journal of Biomedical Engineering Research
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    • v.28 no.3
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    • pp.325-331
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    • 2007
  • Personal identification is essential for the automatic measurement of biosignal information in home healthcare systems. Personal identification is usually achieved with passive radio frequency identification (RFID), which does little more than store a unique identification number. However, passive RFID is not ideal for automatic identification. We present a user identification system based on radio signal strength indication (RSSI) using ZigBee for active RFID tags. Personal identification is achieved by finding the largest RSSI value from aggregated beacon messages that are periodically transmitted by active RFID tags carried by users. Obtaining reliable person!'.! identification without restricting the orientation requires a certain distance between the closest active RFID tag from the ZED and the second closest tag. The results show that the closest active RFID tag from the ZED and the second closest tag must be at least 70 cm apart to achieve reliable personal identification.

Trends in Low Altitude Small Drone Identification Technology and Standardization (저고도 소형드론 식별 기술 및 표준화 동향)

  • Kang, K.M.;Park, J.C.;Choi, S.N.;Oh, J.H.;Hwang, S.H.
    • Electronics and Telecommunications Trends
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    • v.34 no.6
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    • pp.164-174
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    • 2019
  • This article presents low altitude small drone identification trends at home and abroad. To reduce the dysfunction caused by the proliferation of drones worldwide, there is a growing interest in remote identification technologies that can identify the basic information of the drone. First, this article introduces policy trends in major countries. US, Europe, and China have recently provided recommendations regarding technologies available for the remote identification and tracking of a drone. Next, standardization activities on identification communications and identification systems are introduced. For this, standards organizations for the small drone identification, such as the International Organization for Standardization, IEEE 802, Radio Technical Commission for Aeronautics, International Civil Aviation Organization, and $3^{rd}$ Generation Partnership Project, are investigated. Finally, drone identification technology trends are introduced. In the US and Europe, various drone identification technologies have been studied to identify a drone owner and drone registration information with a drone identifier. In South Korea, drone identification technology is still in its infancy, whereas drone detection and physical counterattack technologies are somewhat more developed. As such, major drone manufacturers are also currently studying and developing drone identification systems.

Two-Phase Neuro-System Identification Based on Artificial System (모조 시스템 형성에 기반한 2단계 뉴로 시스템 인식)

  • 배재호;왕지남
    • Journal of the Korean Society for Precision Engineering
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    • v.15 no.3
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    • pp.107-118
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    • 1998
  • Two-phase neuro-system identification method is presented. The 1$^{st}$-phase identification uses conventional neural network mapping for modeling an input-output system. The 2$^{nd}$ -phase modeling is also performed sequentially using the 1$^{st}$-phase modeling errors. In the 2$^{nd}$ a phase modeling, newly generated input signals, which are obtained by summing the 1st-phase modeling error and artificially generated uniform series, are utilized as system's I-O mapping elements. The 1$^{st}$-phase identification is interpreted as a “Real Model” system identification because it uses system's real data(i.e., observations and control inputs) while the 2$^{nd}$ -phase identification as a “Artificial Model” identification because of using artificial data. Experimental results are given to verify that the two-phase neuro-system identification could reduce the overall modeling errors.rrors.

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Performance Enhancement of Speaker Identification System Based on GMM Using the Modified EM Algorithm (수정된 EM알고리즘을 이용한 GMM 화자식별 시스템의 성능향상)

  • Kim, Seong-Jong;Chung, Ik-Joo
    • Speech Sciences
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    • v.12 no.4
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    • pp.31-42
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    • 2005
  • Recently, Gaussian Mixture Model (GMM), a special form of CHMM, has been applied to speaker identification and it has proved that performance of GMM is better than CHMM. Therefore, in this paper the speaker models based on GMM and a new GMM using the modified EM algorithm are introduced and evaluated for text-independent speaker identification. Various experiments were performed to evaluate identification performance of two algorithms. As a result of the experiments, the GMM speaker model attained 94.6% identification accuracy using 40 seconds of training data and 32 mixtures and 97.8% accuracy using 80 seconds of training data and 64 mixtures. On the other hand, the new GMM speaker model achieved 95.0% identification accuracy using 40 seconds of training data and 32 mixtures and 98.2% accuracy using 80 seconds of training data and 64 mixtures. It shows that the new GMM speaker identification performance is better than the GMM speaker identification performance.

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The Structural Relationships between Interactivity, Identification, Relationship Quality, and Loyalty of e-Brand in Internet Site (인터넷사이트에서 e-브랜드의 상호작용성, 일체감, 관계품질과 충성도에 관한 구조적 관계)

  • Lee, Yong-Ki;Lee, Jung-Ran;Yoo, Dong-Keun
    • Asia pacific journal of information systems
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    • v.15 no.4
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    • pp.1-26
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    • 2005
  • This study was to identify the concepts and dimensions of interactivity and to examine the effect of interactivity on identification, relationship quality, and loyalty of e-brand in Internet sites using structural equation model(SEM). For these purposes, the authors developed several hypotheses. The results are as follows. First, control is not associated with identification, but is positively associated with relationship quality. Second, two-way communication is not associated with identification and relationship quality. Third, responsiveness is associated with identification and relationship quality. Fourth, identification is associated with relationship quality. Fifth, identification is not associated with loyalty, while relationship quality is associated loyalty. This means that identification and relationship quality play the partial mediating roles in the relationship between interactivity and loyalty. At the end of this paper, managerial implications, limitations, and future research directions were suggested.

Detection and parametric identification of structural nonlinear restoring forces from partial measurements of structural responses

  • Lei, Ying;Hua, Wei;Luo, Sujuan;He, Mingyu
    • Structural Engineering and Mechanics
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    • v.54 no.2
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    • pp.291-304
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    • 2015
  • Compared with the identification of linear structures, it is more challenging to conduct identification of nonlinear structure systems, especially when the locations of structural nonlinearities are not clear in structural systems. Moreover, it is highly desirable to develop methods of parametric identification using partial measurements of structural responses for practical application. To cope with these issues, an identification method is proposed in this paper for the detection and parametric identification of structural nonlinear restoring forces using only partial measurements of structural responses. First, an equivalent linear structural system is proposed for a nonlinear structure and the locations of structural nonlinearities are detected. Then, the parameters of structural nonlinear restoring forces at the locations of identified structural nonlinearities together with the linear part structural parameters are identified by the extended Kalman filter. The proposed method simplifies the identification of nonlinear structures. Numerical examples of the identification of two nonlinear multi-story shear frames and a planar nonlinear truss with different nonlinear models and locations are used to validate the proposed method.

A Study on the Computer Assisted Dental Identification in Mass Disaster (대형참사시 컴퓨터를 이용한 법의치과학적 개인식별)

  • Shin, Kyoung-Jin;Choi, Jong-Hoon;Yoon, Chang-Lyuk;Kim, Chong-Youl
    • Journal of Oral Medicine and Pain
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    • v.24 no.1
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    • pp.81-94
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    • 1999
  • This study intends to find usefulness of the computer assisted dental identification in mass disaster. The variety of dental characteristics was investigated through the research of dental records of 508 adults. And a computer assisted simulation program was used to evaluate the selectivity of dental identification. Findings were as follows : 1. Combinations of dental characteristics were found 155 types. The most various dental characteristic was showed on the mandibular first molar. 99.0% of subjects had dental characteristics for dental identification. 2. The posterior teeth, in comparison with anterior teeth, showed higher selectivity in dental identification which was enhanced by information on the material, type and cavity of the restoration. 3. The variety of dental characteristics was mainly found on the combinations of missing tooth with the material, type and cavity of the restoration. 4. The computer assisted dental identification program, with informa- tion about one's tooth state, made individual identification possible when there was only a part of the teeth in a corpse. 5. The computer assisted dental identification had considerably high selectivity based on the variety of dental characteristics. And it was also performed faster and preciser than the existing identification methods. Based on the results of this study, there are various combinations of the feature of the tooth itself with dental characteristics caused by a certain type of treatment on the teeth. And using the computer assisted dental identification program based on this, dental identification can be more efficient economically and more useful than any other forensic identification methods.

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Treefrog lateral line as a mean of individual identification through visual and software assisted methodologies

  • Kim, Mi Yeon;Borzee, Amael;Kim, Jun Young;Jang, Yikweon
    • Journal of Ecology and Environment
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    • v.41 no.12
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    • pp.345-350
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    • 2017
  • Background: Ecological research often requires monitoring of a specific individual over an extended period of time. To enable non-invasive re-identification, consistent external marking is required. Treefrogs possess lateral lines for crypticity. While these patterns decrease predator detection, they also are individual specific patterns. In this study, we tested the use of lateral lines in captive and wild populations of Dryophytes japonicus as natural markers for individual identification. For the purpose of the study, the results of visual and software assisted identifications were compared. Results: In normalized laboratory conditions, a visual individual identification method resulted in a 0.00 rate of false-negative identification (RFNI) and a 0.0068 rate of false-positive identification (RFPI), whereas Wild-ID resulted in RFNI = 0.25 and RFNI = 0.00. In the wild, female and male data sets were tested. For both data sets, visual identification resulted in RFNI and RFPI of 0.00, whereas the RFNI was 1.0 and RFPI was 0.00 with Wild-ID. Wild-ID did not perform as well as visual identification methods and had low scores for matching photographs. The matching scores were significantly correlated with the continuity of the type of camera used in the field. Conclusions: We provide clear methodological guidelines for photographic identification of D. japonicus using their lateral lines. We also recommend the use of Wild-ID as a supplemental tool rather the principal identification method when analyzing large datasets.

The Impacts of Brand & Organizational Identification on Job Satisfaction among Kitchen and F & B Employees of Deluxe Hotels (특급호텔 식음료${\cdot}$조리 종사원의 브랜드${\cdot}$조직동일시가 직무만족에 미치는 영향)

  • Shin, Seo-Young;Yang, Il-Sun;Song, Yong-Dok;Choi, Mi-Kyung
    • Korean journal of food and cookery science
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    • v.23 no.3
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    • pp.401-408
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    • 2007
  • The purpose of this study was to identify the impacts of brand and organizational identification on job satisfaction among kitchen and F & B employees of deluxe hotels. Questionnaires were distributed to 460 employees in the food and beverage departments of 11 deluxe hotels in Seoul. A total of 398 questionnaires were used for analysis (86.5%). Statistical analyses were completed using SPSS Win (12.0) to perform descriptive analysis, reliability analysis, t-tests and ANOVA. The results of the study showed that brand identification was higher with F & B employees than kitchen employees (p<0.01), and was also higher for employees of international brand hotels than local brand hotels (p<0.05). Further analyses revealed that brand identification affected organizational identification, and both types of identification, especially brand identification, had strong impacts on job satisfaction. In conclusion, employee brand identification should be recognized as one of the most important factors of human resource management in the foodservice industry.