• Title/Summary/Keyword: proportional sampling

검색결과 193건 처리시간 0.024초

강릉지역 석탄광업 근로자의 진폐에 대한 인식 및 태도 (Coal Miners' Recognition and Attitude toward Pneumoconiosis in Kangneung Area)

  • 정호근;이경용
    • Journal of Preventive Medicine and Public Health
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    • 제21권2호
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    • pp.251-266
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    • 1988
  • This study was planned in order to investigate coal miners' recognition and attitude toward pneumoconiosis, and its realtionship with related behavior for prevention of pneumoconiosis. Study object was coal miners in Kangneung area, sampled by multistage random proportional sampling. Sample size was 13% of total coal miners in Kangneung area. The results were devided into three parts: (1) descriptive results presented percent distribution, (2) reclassification of knowledge, experiences, and attitude by factor analysis, (3) prediction of health behavior for prevention of pneumoconiosis by discriminant analysis. Knowledge, experiences, and attitude toward pneumoconiosis were classified into nine factors. Knowledge about pneumoconiosis were broken down to two factors and attitude to four factors, and valence, perceived severity were classified into each one factor. According to demographic, socioeconomic characteristics, and factors of knowledge, experiences, attitude about pneumoconiosis, about 62% of behavior of wearing respiratory protector was correctly discriminated. And by the same methods, about 81% of behavior of hospital visit at respiratory symptoms; cough, sputum, chest pain etc. was discriminated correctly.

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관측기관을 이용한 유도전동기의 센서리스 속도제어 (Sensorless Speed Control of Induction Motor Using Observation Technique)

  • 이충환
    • Journal of Advanced Marine Engineering and Technology
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    • 제23권1호
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    • pp.96-102
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    • 1999
  • Sensorless speed estimation in induction motor systems is one of the most control engineers. Based on the estimated speed the vector control has been applied to the high precision torque control however most speed estimation methods use adaptive scheme so that it takes long time to estimate the speed. Thus the adaptive estimation scheme is not effective to the induction motor which requires short sampling time. In this paper a new linearized equation of induction motor system is proposed and a sensorless speed estimation algorithm based on observation techniques is developed. First the nonlinear induction motor equation is linearized at an equilibrium point. Second a proportional integral(PI) observer is applied to estimate the speed state in the induction motor system. Finally simulation results will assure the effectiveness of the new linearized equation and the sensorless estimation algorithm by using PI observer in the nonlinear induction motor system.

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Control Strategies for Multilevel APFs Based on the Windowed-FFT and Resonant Controllers

  • Han, Yang
    • Journal of Power Electronics
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    • 제12권3호
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    • pp.509-517
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    • 2012
  • This paper presents control strategies for cascaded H-bridge multilevel active power filters (APFs). A current loop controller is implemented using a proportional-resonant (PR) regulator, which achieves zero steady-state error at target frequencies. The power balancing mechanism for the dc-link capacitor voltages is analyzed and a voltage balancing controller is presented. To mitigate the picket-fence effect of the conventional FFT algorithm under asynchronous sampling conditions, the Hanning Windowed-FFT algorithm is proposed for reference current generation (RCG). This calculates the frequency, amplitude and phase of individual harmonic components accurately and as a result, selective harmonic compensation (SHC) is achieved. Simulation and experimental results are presented, which verify the validity and effectiveness of the devised control algorithms.

한국 치과기공사의 노후 준비에 관한 연구 (A Study about Preparation of old age of Korean dental technicians)

  • 이선경
    • 대한치과기공학회지
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    • 제37권3호
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    • pp.145-155
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    • 2015
  • Purpose: The Purpose of the study is to investigate the need for the preparation of old age of Korean dental technicians. Methods: A total of 778 dental technicians were selected by proportional stratified by region compared to extraction sampling from a list of Korea dental technician Association in 2012. The final sample size was 386. Questionnaires consisted of 9 general characteristics, recognition of old age 4, and preparation of old age 9 on a Liken 5 scale. Cronbach's alpha was 0.784 in the study. All statistical analyzed were performed using SPSS 14.0(Statistical Packages for Social Science Ver. 14.0. Chicago, IL, USA). Results: Factors affecting the aging preparation is gender, age, clinical career, work place(p<0.001). Conclusion: This study suggested that preparation for old age of Korean dental technicians was very important and the preparation must be connected with the social welfare policy.

Allocation in Multi-way Stratification by Linear Programing

  • NamKung, Pyong;Choi, Jae-Hyuk
    • Communications for Statistical Applications and Methods
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    • 제13권2호
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    • pp.327-341
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    • 2006
  • Winkler (1990, 2001), Sitter and Skinner (1994), Wilson and Sitter (2002) present a method which applies linear programing to designing surveys with multi-way stratification, primarily in situation where the desired sample size is less than or only slightly larger than the total number of stratification cells. A comparison is made with existing methods both by illustrating the sampling schemes generated for specific examples, by evaluating sample mean, variance estimation, and mean squared errors, and by simulating sample mean for all methods. The computations required can, however, increase rapidly as the number of cells in the multi-way classification increase. In this article their approach is applied to multi-way stratification using real data.

A Comparison Study of the Test for Right Censored and Grouped Data

  • Park, Hyo-Il
    • Communications for Statistical Applications and Methods
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    • 제22권4호
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    • pp.313-320
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    • 2015
  • In this research, we compare the efficiency of two test procedures proposed by Prentice and Gloeckler (1978) and Park and Hong (2009) for grouped data with possible right censored observations. Both test statistics were derived using the likelihood ratio principle, but under different semi-parametric models. We review the two statistics with asymptotic normality and consider obtaining empirical powers through a simulation study. The simulation study considers two types of models the location translation model and the scale model. We discuss some interesting features related to the grouped data and obtain null distribution functions with a re-sampling method. Finally we indicate topics for future research.

Adaptive Digital Predictive Peak Current Control Algorithm for Buck Converters

  • Zhang, Yu;Zhang, Yiming;Wang, Xuhong;Zhu, Wenhao
    • Journal of Power Electronics
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    • 제19권3호
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    • pp.613-624
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    • 2019
  • Digital current control techniques are an attractive option for DC-DC converters. In this paper, a digital predictive peak current control algorithm is presented for buck converters that allows the inductor current to track the reference current in two switching cycles. This control algorithm predicts the inductor current in a future period by sampling the input voltage, output voltage and inductor current of the current period, which overcomes the problem of hardware periodic delay. Under the premise of ensuring the stability of the system, the response speed is greatly improved. A real-time parameter identification method is also proposed to obtain the precision coefficient of the control algorithm when the inductance is changed. The combination of the two algorithms achieves adaptive tracking of the peak inductor current. The performance of the proposed algorithms is verified using simulations and experimental results. In addition, its performance is compared with that of a conventional proportional-integral (PI) algorithm.

Neural source localization using particle filter with optimal proportional set resampling

  • Veeramalla, Santhosh Kumar;Talari, V.K. Hanumantha Rao
    • ETRI Journal
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    • 제42권6호
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    • pp.932-942
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    • 2020
  • To recover the neural activity from Magnetoencephalography (MEG) and Electroencephalography (EEG) measurements, we need to solve the inverse problem by utilizing the relation between dipole sources and the data generated by dipolar sources. In this study, we propose a new approach based on the implementation of a particle filter (PF) that uses minimum sampling variance resampling methodology to track the neural dipole sources of cerebral activity. We use this approach for the EEG data and demonstrate that it can naturally estimate the sources more precisely than the traditional systematic resampling scheme in PFs.

Can Brand Affinity Outperform Political Parties' Rejection When Nominating Celebrity Politicians in a Post-Rebellion Multi-Party Context?

  • Maya A. BouNassif;Alaaeldin Abbass;Amal El Kurdi
    • Asian Journal for Public Opinion Research
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    • 제11권2호
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    • pp.107-144
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    • 2023
  • In competitive political contexts, sustaining power is the ultimate goal for political parties. Nominating celebrity politicians can be a double-edged sword for parent brands in attracting votes and influencing voting intention. This study contributes to the moderating role of brand affinity towards celebrity politicians. It considers celebrities' cognitive perceived benefits and voting intention relationship in a multiparty parliamentarian election. A cross-sectional survey with a stratified proportional random sampling technique in fifteen Lebanese districts ensured a representative sample. One thousand two hundred sixty-nine responses were found eligible for analysis. Findings indicate that brand affinity positively moderates the negative relationship between perceived benefits and voting intention. This study offers a new understanding of celebrity politicians' implementation strategy and campaign management and considers the contribution of the affective intelligence theory. It provides implications, limitations, and promising directions for future research on celebrity politicians.

덴던 비파괴평가를 위한 Total Flux Leakage에서 높은 측정빈도의 데이터를 획득하기 위한 진폭복조의 응용 (Application of Amplitude Demodulation to Acquire High-sampling Data of Total Flux Leakage for Tendon Nondestructive Estimation )

  • 이주형;곽임종;조창빈;최지영;박광연
    • 한국구조물진단유지관리공학회 논문집
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    • 제27권2호
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    • pp.17-24
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    • 2023
  • 이 논문은 total flux leakage (TFL) 방법을 이용해 외부텐던을 비파괴검사 하는 솔레노이드 형태의 센서의 측정 신호를 후처리하는 방법을 소개한다. 기존에 개발된 TFL 솔레노이드 센서는 1차 코일과 2차 코일로 이루어져 1차 코일에 정현파 형태의 교류를 입력하면 2차 코일에 그 미분에 비례하는 신호가 측정된다. 이때 진폭은 텐던의 단면에 비례하므로 파단 및 부식 여부를 확인할 수 있다. 따라서 TFL센서의 측정신호에서 진폭정보를 추출 하는 것이 중요한데 기존에는 단순히 극댓값을 모아 진폭정보를 취득했다. 하지만 이 방법을 사용하면 측정빈도가 크게 낮아져 추가적인 신호처리 및 인공지능 적용에 많은 제약이 생긴다. 이 논문은 높은 측정빈도를 가진 진폭정보를 추출하기 위해 진폭복조를 응용해 진폭정보를 획득하는 방법을 제시한다. 진폭복조를 이용해 진폭정보를 취득하면 측정빈도를 원시신호와 동일한 수준으로 유지할 수 있다. 이 방법은 TFL센서의 1차 코일 입력 주파수 선택과 센서를 외부텐던에 적용하는 속도 등에 제약을 없애주어 개발 방향에 많은 자유도를 부여한다. 또한 높은 측정빈도를 유지하므로 추가적인 신호처리나 인공지능 등을 활용 하는데 유리함을 제공한다. 제안된 방법은 실내실험을 통해 검증 되었으며 기존 방법과 비교해 어떤 장점이 있는지 분석했다. 제시된 예제의 경우 진폭복조를 사용한 방법이 기존 방법에 비해 100배 높은 측정빈도를 제공 하는 것을 확인 할 수 있었다. 주어진 상황과 구체적인 장비 설정에 따라 차이가 있겠지만 대부분의 경우 진폭복조를 사용해 진폭정보를 추출하면 기존 방법 대비 만족할만한 결과를 얻을 수 있을 것이다.