• Title/Summary/Keyword: identification methods

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THE PROBLEMS OF MODELLING AND IDENTIFICATION OF SOURCES OF NOISE IN MACHINES

  • Zbigniew Dabrowski;Stanilaw Radkowski
    • Proceedings of the Acoustical Society of Korea Conference
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    • 1994.06a
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    • pp.758-763
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    • 1994
  • The work discusses the problems of modelling of the process of acoustic signal generation in machines. We have pointed out that in the task of minimizing of both moise and vibration, the key problem is identification of sources and paths of propagation, both in terms of their location and of definition of their characteristic features. Properly conducted identification makes possible the use of relatively simple mathematical models and this fact is particularly important for a broad application of the proposed methods in practice.

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A Case of a Patient with Dizziness Diagnosed with Guorem-byeong Baekho-tang (궐음병(厥陰病) 백호탕(白虎湯)으로 진단된 어지럼증 환자 1례)

  • Choi, Woon-yong
    • 대한상한금궤의학회지
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    • v.10 no.1
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    • pp.143-152
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    • 2018
  • Objective : A Patient complaining of dizziness was diagnosed and treated with the Shanghanlun disease pattern identification diagnostic system and was analyzed to report cases Methods : Based on the Shanghanlun disease pattern identification diagnostic system, we analyzed a case treated with the Baekho-tang and counseling. Results : Baekho-tang showed a rapid improvement in the patient. During the period of 20 days, dizziness were greatly improved. Conclusions : The Baekho-tang, which is not well known yet, can show rapid effect and can be diagnosed frequently through the Shanghanlun disease pattern identification diagnostic system.

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Damage Estimation of Structures Incorporating Structural Identification (동특성 추정을 이용한 구조물의 손상도 추정)

  • Yun, Chung-Bang;Lee, Hyeong-Jin;Kim, Doo-Ki
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 1995.04a
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    • pp.136-143
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    • 1995
  • The problem of the structural identification becomes important, particularly with relation to the rapid increase of the number of the damaged or deteriorated structures, such as highway bridges, buildings, and industrial facilities. This paper summarizes the recent studies related to those problems by the present authors. The system identfication methods are generally classified as the time domain and the frequency domain methods. As time doamin methods, the sequential algorithms such as the extended Kalman filter and the sequential prediction error method are studied. Several techniques for improving the convergences are incorporated. As frequency domain methods, a new frequency response function estimator is introduced. For damage estimation of existing structures, the modal perturbation and the sensitivity matrix methods are studied. From the example analysis, it has been found that the combined utilization of the measurement data for the static response and the dynamic (modal) properties are very effictive for the damage estimation.

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Genetic classification of various familial relationships using the stacking ensemble machine learning approaches

  • Su Jin Jeong;Hyo-Jung Lee;Soong Deok Lee;Ji Eun Park;Jae Won Lee
    • Communications for Statistical Applications and Methods
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    • v.31 no.3
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    • pp.279-289
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    • 2024
  • Familial searching is a useful technique in a forensic investigation. Using genetic information, it is possible to identify individuals, determine familial relationships, and obtain racial/ethnic information. The total number of shared alleles (TNSA) and likelihood ratio (LR) methods have traditionally been used, and novel data-mining classification methods have recently been applied here as well. However, it is difficult to apply these methods to identify familial relationships above the third degree (e.g., uncle-nephew and first cousins). Therefore, we propose to apply a stacking ensemble machine learning algorithm to improve the accuracy of familial relationship identification. Using real data analysis, we obtain superior relationship identification results when applying meta-classifiers with a stacking algorithm rather than applying traditional TNSA or LR methods and data mining techniques.

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.

Three‐Dimensional Automatic Measurement Extraction Algorithms for Neck‐base Part of Females in Their Twenties (20대 여성의 목밑둘레 부위에 대한 3차원 자동 측정 알고리즘)

  • Hwang, Keun-Young;Nam, Yun-Ja;Park, Jae-Kyung
    • Journal of the Ergonomics Society of Korea
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    • v.24 no.2
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    • pp.35-43
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    • 2005
  • The purpose of this study is to suggest computer assisted neck-base's landmark identification algorithms and measurement extraction methods from three-dimensional human scan data. So we developed the algorithms for automatic identification of landmarks related to the neck-base types. The subjects were 58 women $18{\sim}24$ years of age. Their body were measured directly and indirectly by using camera and three-dimensional body scanner. They were measured during the months of October in 2001. Based on the characters of classified neck-base types, algorithms for the automatic identification of landmarks and methods of automatic measurement are developed. The three-dimensional automatic measuring program is made by $C^{++}$ language. Using this program, 4 landmarks are identified and 6 items are measured. In the verifying the precision of automatic measurement, the height measurements(cervicale, side neck point, front neck point) were relatively accurate, but neck-base width measurement was measured wide.

System identification of steel member acting compressive force using natural frequency of vibration (고유진동수를 이용하여 압축력이 작용하는 철골 부재의 구조계 추정)

  • Shim, Hak-Bo;Park, Soo-Yong;Park, Hyo-Seon
    • 한국방재학회:학술대회논문집
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    • 2007.02a
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    • pp.45-48
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    • 2007
  • The aim of this study is to estimate the compressive force of steel member using a system identification technique with vibration measurements. To date, several methods have been presented to estimate the compressive force using static and/or dynamic responses of the steel member. However, each and every one of these methods has its disadvantages as well as advantages in its procedures, level of accuracy, and equipment requirements. The paper reports a qualitative investigation of vibration under monoharmonic excitation. The methodology utilizes the relationship between the natural frequencies, the structural parameters, and the compressive force of the member. In this paper, experimental results are presented with a steel beam subjecting to several compressive forces and the proposed method is validated using both numerical and experimental data.

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Efficient Class Identification based on Event (이벤트 기반의 효율적인 클래스 식별)

  • Choi, Mi-Sook;Lee, Jong-Suk
    • Journal of Digital Contents Society
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    • v.9 no.2
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    • pp.165-175
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    • 2008
  • Currently, software development methods have been advanced to service-oriented from component-oriented, to component-oriented from object-oriented. The component-oriented and service-oriented software development methods are analyzed by object-oriented UML model. So, the efficient analysis method for object-oriented UML model needs. In this paper, we suggest the analysis guideline and process based on event using Input Data-Process-Output Data Table for identifying use cases and classes efficiently. And the suggested method complements the problems depending the developer's perspective and experience.

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Isolation and Identification of Methylotrophic Actinomycetes capable of Producing Anti-oral Cancer Activity (구강암에 대해 항암효과를 나타내는 methanol 자화 방선균의 분리 및 동정)

  • Kim, Jung;Kim, Sun-Sook
    • Journal of Korean society of Dental Hygiene
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    • v.1 no.2
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    • pp.193-200
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    • 2001
  • An appropriate amount of samples, collected from three each paddy forest, field and riverside soil near Taegu city, was suspended in sterile water and then diluted in order to isolation of antagonistic to oral cancer. The diluted samples were inoculated on separating medium in the routing spreading method. So, seven hundred and eighteen strains were isolated on HV agar and 220 strains were on methanol medium from soil samples. So, during the screening of anti-oral cancer activity from soil, we isolated microorganisms showing powerful antagonistic activity. Among them, No. 78 strain exhibited the most strongly anti-oral cancer activity. Microbiological properties were investigated by the methods described in the Bergey's Manual of Systematic Bacteriology and experimental methods of identification of actinomycetes by Hamada et al. As a result, a methylotrophic actinomycetes strain No. 79 was estimated as Amycolatopsis sp. based on taxonomic studies.

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Identification of Volterra Kernels of Nonlinear Van de Vusse Reactor

  • Kashiwagi, Hiroshi;Rong, Li
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.26.3-26
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    • 2001
  • Van de Vusse reactor is known as a highly nonlinear chemical process and has been considered by a number of researchers as a benchmark problem for nonlinear chemical process. Various identification methods for nonlinear system are also verified by applying these methods to Van de Vusse reactor. From the point of view of identification, only the Volterra kernel of second order has been obtained until now. In this paper, the authors show that Volterra kernels of nonlinear Van de Vusse reactor of up to 3rd order are obtained by use of M-sequence correlation method. A pseudo-random M-sequence is applied to Van de Vusse reactor as an input and its output is measured. Taking the cross correlation function between the input and the output, we obtain up to 3rd order Volterra kernels, which is ...

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