• Title, Summary, Keyword: Identification

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Color Space Exploration and Fusion for Person Re-identification (동일인 인식을 위한 컬러 공간의 탐색 및 결합)

  • Nam, Young-Ho;Kim, Min-Ki
    • Journal of Korea Multimedia Society
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    • v.19 no.10
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    • pp.1782-1791
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    • 2016
  • Various color spaces such as RGB, HSV, log-chromaticity have been used in the field of person re-identification. However, not enough studies have been done to find suitable color space for the re-identification. This paper reviews color invariance of color spaces by diagonal model and explores the suitability of each color space in the application of person re-identification. It also proposes a method for person re-identification based on a histogram refinement technique and some fusion strategies of color spaces. Two public datasets (ALOI and ImageLab) were used for the suitability test on color space and the ImageLab dataset was used for evaluating the feasibility of the proposed method for person re-identification. Experimental results show that RGB and HSV are more suitable for the re-identification problem than other color spaces such as normalized RGB and log-chromaticity. The cumulative recognition rates up to the third rank under RGB and HSV were 79.3% and 83.6% respectively. Furthermore, the fusion strategy using max score showed performance improvement of 16% or more. These results show that the proposed method is more effective than some other methods that use single color space in person re-identification.

The Effects of Professors' Transformational Leadership on the Improvement of Chinese Students' University Satisfaction: The Mediating Effects of University Identification

  • Zheng, Fusheng;Hahm, SangWoo
    • International Journal of Advanced Culture Technology
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    • v.7 no.4
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    • pp.137-144
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    • 2019
  • The Leaders in organization play various core roles in workers' performance and organizational performance. A leader presents a vision and a direction to enable members to achieve higher performance. Especially, transformational leadership suggests members a strong vision and influences them to have identification with the organization. Based on previous researches, transformational leadership is a close connection to identification with job and organization satisfaction. This study explains the influence of the university professors' transformational leadership on students' university satisfaction and university identification. In this study, the subjects of statistical analysis are Chinese international students studying in Korea. As a result, first, professors' transformational leadership enhanced the level of students' university satisfaction. Second, university identification had a partial mediating influence on the relationship between professors' transformational leadership and students' university satisfaction. Professors' transformational leadership had an influence on the students' identification with their universities. Through this process, students become aware of identification and more satisfied with their universities. As a result of the transformational leadership of the professor, the identification and satisfaction of the international students will be improved and they will be better able to adapt to their study life and achieve high results. The purpose of this study is to emphasize the roles of transformational leadership as a necessary leadership for the successful study abroad life of Chinese students studying in Korea today.

System identification of high-rise buildings using shear-bending model and ARX model: Experimental investigation

  • Fujita, Kohei;Ikeda, Ayumi;Shirono, Minami;Takewaki, Izuru
    • Earthquakes and Structures
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    • v.8 no.4
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    • pp.843-857
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    • 2015
  • System identification is regarded as the most basic technique for structural health monitoring to evaluate structural integrity. Although many system identification techniques extracting mode information (e.g., mode frequency and mode shape) have been proposed so far, it is also desired to identify physical parameters (e.g., stiffness and damping). As for high-rise buildings subjected to long-period ground motions, system identification for evaluating only the shear stiffness based on a shear model does not seem to be an appropriate solution to the system identification problem due to the influence of overall bending response. In this paper, a system identification algorithm using a shear-bending model developed in the previous paper is revised to identify both shear and bending stiffnesses. In this algorithm, an ARX (Auto-Regressive eXogenous) model corresponding to the transfer function for interstory accelerations is applied for identifying physical parameters. For the experimental verification of the proposed system identification framework, vibration tests for a 3-story steel mini-structure are conducted. The test structure is specifically designed to measure horizontal accelerations including both shear and bending responses. In order to obtain reliable results, system identification theories for two different inputs are investigated; (a) base input motion by a modal shaker, (b) unknown forced input on the top floor.

Structural damage identification with power spectral density transmissibility: numerical and experimental studies

  • Li, Jun;Hao, Hong;Lo, Juin Voon
    • Smart Structures and Systems
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    • v.15 no.1
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    • pp.15-40
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    • 2015
  • This paper proposes a structural damage identification approach based on the power spectral density transmissibility (PSDT), which is developed to formulate the relationship between two sets of auto-spectral density functions of output responses. The accuracy of response reconstruction with PSDT is investigated and the damage identification in structures is conducted with measured acceleration responses from the damaged state. Numerical studies on a seven-storey plane frame structure are conducted to investigate the performance of the proposed damage identification approach. The initial finite element model of the structure and measured acceleration measurements from the damaged structure are used for the identification with a dynamic response sensitivity-based model updating method. The simulated damages can be identified accurately without and with a 5% noise effect included in the simulated responses. Experimental studies on a steel plane frame structure in the laboratory are performed to further verify the accuracy of response reconstruction with PSDT and validate the proposed damage identification approach. The locations of the introduced damage are detected accurately and the stiffness reductions in the damaged elements are identified close to the true values. The identification results demonstrated the accuracy of response reconstruction as well as the correctness and efficiency of the proposed damage identification approach.

Development of Standardized Pattern Identification for Dizziness by Delphi Method (현훈(어지럼증) 한의표준변증안 개발을 위한 전문가 델파이 조사)

  • Oh, Se-Hee;Jung, Chan-Yung;Hong, Seung-Ug
    • The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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    • v.33 no.2
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    • pp.43-54
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    • 2020
  • Objectives : The goal of this study is developing standardized pattern identification of dizziness using delphi method. Methods : The pattern identification of dizziness which derived through literature review is studied by delphi method. A group of 9 experts of korean medicine participated in Delphi examination. Experts carried out evaluating and correcting the pattern identification and symptoms by e-mail. Results : Through 3 delphi examinations, final standardized pattern identification of dizziness was suggested. It consisted of 2 items of excess syndrome, 2 items of excess-deficiency combination syndrome, and 3 items of deficiency syndrome. Conclusions : By the delphi examinations among experts, a standardized pattern identification of dizziness was suggested. These pattern identification will contribute to research and treatment of korean medicine. Further study is necessary for modification of pattern identification by practical clinical use.

Identification of authors and ethics of research based on KOSISA case

  • ZHANG, Fan;SU, Shuai;YOUN, Myoung-KIl
    • Journal of Research and Publication Ethics
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    • v.1 no.2
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    • pp.11-13
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    • 2020
  • Purpose: The author wants to specify scope of research, identify without giving burden, prevent unfair identification of the author, admit of production of the outcome, enact rules of identification, and build up foundation of development. Also, this study defines scope of publication of outcome of research to prevent unfair identification of authors and admit of them. Research design, data and methodology: The study described literary research, standard research, phenomenon research, and empirical result without methodologies, statistical analysis and scientific test and investigated operation system of KODISA cases. Results: At publication of findings of the research, researchers shall identify the ones of production of the finding to allocate help of the research. Conclusions: Scientific journals shall be controlled to develop ability and to grow up and have a system. Researchers shall give direction of other scientific journals. The study made efforts to be a model. KODISA Edition Team shall make an effort to keep and develop. So far, no regulation of identification of authors has produced disturbance so terminologies should be uniformed. Researchers shall keep rules of identification of authors to uniform and regulate identification of authors, conditions of authors, and order and correspondent authors. KODISA enacted rules of identification of authors for the first time in Korea to develop science.

Identification with the Point of Views and the Characters in Game (게임에서의 시점과 캐릭터 동일시)

  • Lee, Sul-Hi;Sung, Yong-Hee
    • The Journal of the Korea Contents Association
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    • v.8 no.3
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    • pp.117-126
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    • 2008
  • Lacan's Identification theory has been applied to various cultural genres such as literature, film, media so on. Especially, Identification theory in Film Theory gives game researchers who try to apply identification theory to the game, a concrete base. This paper aims to explain the gamer's action through identification theory. Thus, we divide identification into the level of the gamer's point of view and that of the character in game text. While point-on-view of identification, the primary identification, in film has been explained that the audience identifies with camera's point-of view, in game one identifies with various point-of-views. There are two aspects of Identification of characters in game. First, gamers identify themselves with moving images on screen. Second, They identify with the roles given to themselves. The factors which allow them identification are suppression of false statement system, interpolation and process of selection, arrangement, a cursor, colours on screen.

A Study on the ALS Method of System Identification (시스템동정의 ALS법에 관한 연구)

  • Lee, D.C.
    • Journal of the Korea Society For Power System Engineering
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    • v.7 no.1
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    • pp.74-81
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    • 2003
  • A system identification is to estimate the mathematical model on the base of input output data and to measure the output in the presence of adequate input for the controlled system. In the traditional system control field, most identification problems have been thought as estimating the unknown modeling parameters on the assumption that the model structures are fixed. In the system identification, it is possible to estimate the true parameter values by the adjusted least squares method in the input output case of no observed noise, and it is possible to estimate the true parameter values by the total least squares method in the input output case with the observed noise. We suggest the adjusted least squares method as a consistent estimation method in the system identification in the case where there is observed noise only in the output. In this paper the adjusted least squares method has been developed from the least squares method and the efficiency of the estimating results was confirmed by the generating data with the computer simulations.

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The study for improve a method of Marker auto- identification (마커 자동 인식 향상 방법에 관한 연구)

  • Lee, Hyun-Seob
    • Korean Journal of Sport Biomechanics
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    • v.13 no.1
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    • pp.23-38
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    • 2003
  • The purpose of this study is to develop an improved marker auto-identification algorithm for reduce of data processing time through improve the efficiency of noise elimination and marker separation. The maker auto-identification algorithm was programming named KUMAS used Delphi language. For the study, various experiments were conducted for the verification of KUMAS. and compared two systems of established with the KUMAS. Four different motions - cycling, gait, rotation, and pendulum -, were selected and tested. Motions were filmed 30Hz frames rate per second. ${\chi}^2$ used for statistical analysis. Significant level were ${\alpha}=.05$. The test results were as follow. 1. Increased the success ratio of marker auto-identification. 2. The efficiency of marker auto-identification was remarkably improved through marker separation, noise elimination. 3. The marker auto-identification ability was improved in 2D-image plane include the 3D motion. 4. Significant different were found between KUMAS and B-SYS(established system) with non-input the artificial noise frames, input the artificial noise frames and total frames.

Identification of nonlinear dynamical systems based on self-organized distributed networks (자율분산 신경망을 이용한 비선형 동적 시스템 식별)

  • 최종수;김형석;김성중;권오신;김종만
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.45 no.4
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    • pp.574-581
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    • 1996
  • The neural network approach has been shown to be a general scheme for nonlinear dynamical system identification. Unfortunately the error surface of a Multilayer Neural Networks(MNN) that widely used is often highly complex. This is a disadvantage and potential traps may exist in the identification procedure. The objective of this paper is to identify a nonlinear dynamical systems based on Self-Organized Distributed Networks (SODN). The learning with the SODN is fast and precise. Such properties are caused from the local learning mechanism. Each local network learns only data in a subregion. This paper also discusses neural network as identifier of nonlinear dynamical systems. The structure of nonlinear system identification employs series-parallel model. The identification procedure is based on a discrete-time formulation. Through extensive simulation, SODN is shown to be effective for identification of nonlinear dynamical systems. (author). 13 refs., 7 figs., 2 tabs.

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