• Title/Summary/Keyword: classification criterion

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Feature Vector Extraction using Time-Frequency Analysis and its Application to Power Quality Disturbance Classification (시간-주파수 해석 기법을 이용한 특징벡터 추출 및 전력 외란 신호 식별에의 응용)

  • 이주영;김기표;남상원
    • Proceedings of the IEEK Conference
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    • 2001.09a
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    • pp.619-622
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    • 2001
  • In this paper, an efficient approach to classification of transient and harmonic disturbances in power systems is proposed. First, the Stop-and-Go CA CFAR Detector is utilized to detect a disturbance from the power signals which are mixed with other disturbances and noise. Then, (i) Wigner Distribution, SVD(Singular Value Decomposition) and Fisher´s Criterion (ii) DWT and Fisher´s Criterion, are applied to extract an efficient feature vector. For the classification procedure, a combined neural network classifier is proposed to classify each corresponding disturbance class. Finally, the 10 class data simulated by Matlab power system blockset are used to demonstrate the performance of the proposed classification system.

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Simple Classification of Male Mouse Germ Cells using Hoechst 33258 Staining (Hoechst 33258 Staining을 이용한 웅성 생쥐 성세포의 간편 분류)

  • Kim, Kyoung Guk;Park, Young Sik
    • Journal of Embryo Transfer
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    • v.30 no.3
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    • pp.213-218
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    • 2015
  • In the study for a differentiation and development of spermatogonial cells, the researchers should commonly require a simple, fast and reasonable method that could evaluate the developmental stage of male germ cells without any damage and also relentlessly culture them so far as a cell stage aiming at experimental applications. For developing the efficient method to identify the stage of sperm cells, the morphological characteristics of sperm cells were investigated by staining the cells with blue fluorescent dye Hoechst 33258, and a criterion for male germ cell classification was elicited from results of the previous investigation, then the efficiency of the criterion was verified by applying it to assort the germ cells recovered from male mice in age from 6 to 35 days. As morphological characteristics, spermatogonia significantly differed from spermatocytes in size, appearance and fluorescent patches of nucleus, and spermatids could also be distinguished from spermatozoa by making a difference in the volume and shape of nucleus and the shape and fluorescence of tail. Aforesaid criterion was applicable for classifying in vitro cultured sperm cells by verifying its efficiency and propriety for assorting the stages of testicular germ cells. However, the fluorescent staining showed that germ cells in mouse testis should be dramatically differentiated and developed at 21 days and 35 days of age, which were known as times of sexual puberty and maturity in male mice, respectively. In conclusion, the results indicated that this simple criterion for sperm cell classification using fluorescence staining with Hoechst 33258 may be highly efficient and reasonable for spermatogenesis study.

Development of Feature Selection Method for Neural Network AE Signal Pattern Recognition and Its Application to Classification of Defects of Weld and Rotating Components (신경망 AE 신호 형상인식을 위한 특징값 선택법의 개발과 용접부 및 회전체 결함 분류에의 적용 연구)

  • Lee, Kang-Yong;Hwang, In-Bom
    • Journal of the Korean Society for Nondestructive Testing
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    • v.21 no.1
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    • pp.46-53
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    • 2001
  • The purpose of this paper is to develop a new feature selection method for AE signal classification. The neural network of back propagation algorithm is used. The proposed feature selection method uses the difference between feature coordinates in feature space. This method is compared with the existing methods such as Fisher's criterion, class mean scatter criterion and eigenvector analysis in terms of the recognition rate and the convergence speed, using the signals from the defects in welding zone of austenitic stainless steel and in the metal contact of the rotary compressor. The proposed feature selection methods such as 2-D and 3-D criteria showed better results in the recognition rate than the existing ones.

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An Application of the Balanced Quadratic Classification Rule on the Discriminant Analysis in Growth Curve Model (성장곡선모형의 판별분석에서 균형이차분류법의 적용)

  • Shim, Kyu-Bark
    • Journal of Korean Society for Quality Management
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    • v.23 no.2
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    • pp.53-67
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    • 1995
  • The problem considered here is to find the optimal discriminant analysis method in growth curve model. It has been studied how to find correct prior probability for the effective classification in discriminant analysis. We use the balanced condition to calculate prior probability. From the informative simulation study, new classification rule for the growth curve model is suggested. The suggested classification rule has better classification result than the other previously suggested method in terms of error rate criterion.

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The development of web based power plant maintenance management system (Web기반 발전설비 정비관리시스템 개발)

  • Kim, Bum-Shin;Kim, Eui-Hyun;Jang, Don-Sik;Cho, Jae-Min;Chae, Gil-Seok;Jung, Gyu-Chol
    • Proceedings of the KSME Conference
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    • 2004.04a
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    • pp.2059-2063
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    • 2004
  • Most power plants have operated many independent computerize systems for maintenance. Independence of systems have caused complexity of business process and inconvenience of computer system management. Because the equipment and material master data is not standardize and structurize, it is difficult to manage equipment maintenance history and material delivery. Especially equipment classification criterion is important for standardization of every maintenance information. It is necessary to integrate function of independent systems for business process simplification and rapid work flow. this paper provides equipment classification criterion design and system integration method with the case of live system development.

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Automatic Classification of Power System Harmonic Disturbances (전력시스템 고조파 외란의 자동식별)

  • Kim, Byoung-Chul;Kim, Hyun-Soo;Nam, Sang-Won
    • Journal of Institute of Control, Robotics and Systems
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    • v.6 no.7
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    • pp.551-558
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    • 2000
  • In this paper a systematic approach to automatic classificationi of power system harmonic disturbances is proposed where the proposed approach consists of the following three steps:(i) detecting and localizing each harmonic disturbance by applying discrete wavelet transform(DWT) (ii) extracting an efficient feature vector from each detected disturbance waveform by utilizing FFT and principal component analysis (PCA) along with Fisher's criterion and (iii) classifying the corresponding type of each harmonic disturbance by recognizing the pattern of each feature vector. To demonstrate the performance and applicability of the proposed classification procedure some simulation results obtained by analyzing 8-class power system harmonic disturbances being generated with Matlab power system blockset are also provided.

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Suggestion of Charts and Equations Estimating the Strength Parameters of Rock Mass Using the Rock Mass Classification Value (RMC 값을 이용한 암반의 강도정수 값 추정도표 및 추정식의 제안)

  • Kim, Min-Kwon;Lee, Yeong-Saeng
    • Journal of the Korean Geotechnical Society
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    • v.30 no.3
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    • pp.73-85
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    • 2014
  • The strength parameters used in rock mass design are mainly estimated by equations using Hoek-Brown failure criterion because the tests to obtain the values are limited and expensive. To estimate the strength parameters, the Hoek-Brown failure criterion should be transformed to the Mohr-Coulomb failure criterion. But the processes are more or less cumbersome due to the several stages including the computation and the analyzing steps. In this study, several rock states of various conditions were modeled and then the strength parameters were estimated using the Hoek-Brown failure criterion. Thereafter by analyzing the results, some charts and equations estimating the strength parameters through only one step or easily in the field using the values of RMC, the uniaxial compressive strength and the rock constant ($m_i$), were suggested. And then the suggested method was compared and discussed with the existing method.

A Study on Priority of Classification System for Agro-healing Using the Analytic Hierarchy Process

  • Yoo, Eunha;Park, Yumin;Jeong, Sun Jin;Kim, Jae Soon;Kang, Yong Ku;Jeong, Yeo Jin
    • Journal of People, Plants, and Environment
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    • v.24 no.6
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    • pp.663-672
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    • 2021
  • Background and objective: As the 'Healing Agriculture Research and Development and Promotion Act' came into effect on March 25, 2021, social interest in agro-healing has been increasing exponentially. This study was conducted to analyze the priorities of agro-healing classification system and to provide basic data to inform policy directions and related research for the development and activation of agro-healing. Methods: The survey data collected from 18 experts were analyzed using the analytic hierarchy process (AHP) method in determine the relative weights of the main and sub-criteria for the classification system. There were three main criteria identified: agro-healing input industry, agro-healing service industry, and agro-healing-related/derived industry. There were also 11 sub-criteria. Results: The top three sub-criteria with the highest complex weights include "community service," "social rehabilitation" and "treatment and rehabilitation," all of which correspond to the main criterion "agro-healing service industry". In addition, the complex weights of the sub-criteria corresponding to the main criterion "agro-healing related/derived industry" are as follows: "other agro-healing support service," which ranked 4th, and "training and education institutions for agro-healing experts," which ranked 5th when prioritizing the criteria. Conclusion: The results of this study suggest that the main criterion to be considered first in establishing a classification system is "agro-healing service industry". Therefore, it is necessary to continue research on detailed service classifications and systems with verified validity to ensure expertise in human resources, and organization related to social purpose services in agro-healing.

Study of Music Classification Optimized Environment and Atmosphere for Intelligent Musical Fountain System (지능형 음악분수 시스템을 위한 환경 및 분위기에 최적화된 음악분류에 관한 연구)

  • Park, Jun-Heong;Park, Seung-Min;Lee, Young-Hwan;Ko, Kwang-Eun;Sim, Kwee-Bo
    • Journal of the Korean Institute of Intelligent Systems
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    • v.21 no.2
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    • pp.218-223
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    • 2011
  • Various research studies are underway to explore music classification by genre. Because sound professionals define the criterion of music to categorize differently each other, those classification is not easy to come up clear result. When a new genre is appeared, there is onerousness to renew the criterion of music to categorize. Therefore, music is classified by emotional adjectives, not genre. We classified music by light and shade in precedent study. In this paper, we propose the music classification system that is based on emotional adjectives to suitable search for atmosphere, and the classification criteria is three kinds; light and shade in precedent study, intense and placid, and grandeur and trivial. Variance Considered Machines that is an improved algorithm for Support Vector Machine was used as classification algorithm, and it represented 85% classification accuracy with the result that we tried to classify 525 songs.

ccuracy Evaluation of MSD-related Risky Work Criterion of Korea Ministry ofLabor using Ergonomic Workload Evaluation Methods (인간공학적 작업부하 평가방법을 이용한 근골격계 부담작업 판정기준의 정확성 평가)

  • Park, Guk-Mu;Jeong, Min-Geun;Gi, Do-Hyeong;Ryu, Tae-Beom
    • Journal of the Ergonomics Society of Korea
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    • v.25 no.2
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    • pp.119-124
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    • 2006
  • The present study evaluated the accuracy of MSD-related work criterion of Korea Ministry of Labor by using ergonomic workload evaluation methods. 1,948 manufacturing works in automobile industry were divided into 1,286 MSD-related risky works and 662 risk-free ones by using RULA, ANSI Z-365 and perceived discomfort evaluation. Then, the two types of works were evaluated by Labor Ministry work criterion to analyze the classification accuracy of the work criterion. The work criterion of Korea Labor Ministry had low hit and false alarm ratio(20 and 11%) and high miss and correct rejection ratio(80 and 89%), and the odd ratios of hit and correct rejection were 0.2 and 8.3, respectively. It can be concluded that the work criterion of Korea Labor Ministry is a conservative evaluation method which tends to evaluate a target work as risk-free.