• Title/Summary/Keyword: Estimator measure

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Modified Microwave Radio-thermometer for Measuring Temperature of Living Body (생체의 온도 측정을 위한 수정된 마이크로파 라디오-써모미터)

  • Kim Tae-Woo;Cho Tae-Kyung;Park Byoung-Soo
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.42 no.2 s.302
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    • pp.27-32
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    • 2005
  • This paper presents a modified microwave radio-thermometer (MRTM) with material characteristic estimator and multiple temperature conversion tables to measure subcutaneous temperature of a living body This estimator provides a temperature retrieval unit with the data of material characteristics such as permittivity, conductivity, thickness and geometry of the living body. The temperature retrieval unit with multiple temperature conversion tables can select one of the tables and computes temperature value corresponding to measured radiation power. In the experiments, it was shown that the MRTM could reduce measurement errors of about $0.82^{\circ}C\;to\;7.68^{\circ}C$ for the cases of distilled water and mixed liquid at the temperature of $37^{\circ}C$.

A Study on the Stochastic Optimization of Binary-response Experimentation (이항 반응 실험의 확률적 전역최적화 기법연구)

  • Donghoon Lee;Kun-Chul Hwang;Sangil Lee;Won Young Yun
    • Journal of the Korea Society for Simulation
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    • v.32 no.1
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    • pp.23-34
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    • 2023
  • The purpose of this paper is to review global stochastic optimization algorithms(GSOA) in case binary response experimentation is used and to compare the performances of them. GSOAs utilise estimator of probability of success $\^p$ instead of population probability of success p, since p is unknown and only known by its estimator which has stochastic characteristics. Hill climbing algorithm algorithm, simple random search, random search with random restart, random optimization, simulated annealing and particle swarm algorithm as a population based algorithm are considered as global stochastic optimization algorithms. For the purpose of comparing the algorithms, two types of test functions(one is simple uni-modal the other is complex multi-modal) are proposed and Monte Carlo simulation study is done to measure the performances of the algorithms. All algorithms show similar performances for simple test function. Less greedy algorithms such as Random optimization with Random Restart and Simulated Annealing, Particle Swarm Optimization(PSO) based on population show much better performances for complex multi-modal function.

Measuring and Modeling Labor Productivity using Historical Data (이력 데이터를 사용한 노무생산성 모델링 및 측정)

  • Park, Young-Jun;Son, Chang-Baek;Lee, Dong-Eun
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2012.11a
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    • pp.141-142
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    • 2012
  • Estimating the productivity of labor has relied on the experience and intuition of an estimator, or productivity data, such as standard in practical estimation. However, when new technologies and new construction methods employed in the construction industry, Dependence of a quantity surveyor's intuition is increased. This is because of the lack of a systematic methodology which models, estimates, and measures the labor productivity, Due to the historical productivity data is unavailable. Even thought project history data contains information that is important to predict the performance of a project, It can not provide valuable information to model, estimate, and measure the labor productivity. This is because 1) the absence of the productivity measurement system with consistency, 2) the difficulty of reusability of historical data collected. Therefor, this study suggests a methodology which build a productivity model by measuring the productivity of labor and collecting the historical data systematically. In addition, this methology is applied to develop a productivity model of shop-drawing and manufacturing process using descrete event simulation.

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Quality Measurement Algorithm for IS-95 Reverse-link Signal (IS-95 역방향링크 신호의 품질 측정 알고리즘)

  • Kang, Sung-Jin;Kim, Nam-Yong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.9
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    • pp.3428-3434
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    • 2010
  • In this paper, we proposed and implemented a quality measurement algorithm for IS-95 reverse-link signal. To measure the quality of the received signal, equalization, carrier frequency/phase offset estimation, and timing synchronization are essential. And, all signal processing are carried out with baseband signal. The equalizer works with 4-oversampled samples to remove ICI(InterChip Interference). The frequency/phase offset estimator is followed by timing synchronizer since it can work without aid of data and timing information. As the number of interpolation in timing synchronization increases, the measurement accuracy improves, but computation load increases simultaneously. Therefore, one need to choose adequately the number of interpolation regarding to the platform performance to be used for the proposed algorithm.

Evaluation of a Possibility of Estimation of Reaction Force of Surgical Robot Instrument using Sliding Perturbation Observer (슬라이딩 섭동 관측기를 이용한 수술용 로봇 인스트루먼트의 반력 추정 가능성 평가)

  • Yoon, Sung-Min;Lee, Min-Cheol;Kim, Chi-Yen;Kang, Byeong-Ho
    • The Journal of Korea Robotics Society
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    • v.7 no.1
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    • pp.20-28
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    • 2012
  • In spite of the difficulties and uncertain characteristic of cable driven method, surgical robot instrument has adopted it as driving mechanism for various reasons. To overcome the problem of cable system, previous research applied SMCSPO (sliding mode control with sliding perturbation observer) algorithm as robust controller to control the instrument and found that the value of SPO (sliding perturbation observer) followed force disturbance, reaction force loaded on the tip very similarly. Thus, this paper confirms that the perturbation observer is sufficient estimator which finds out the mount of loaded force on the surgical robot instrument. To prove the proposition, simulation using the similar model with an actual instrument and experimental evaluation are performed. The results show that it is possible to substitute SPO for sensors to measure the reaction force. This estimated reaction force will be used to realize haptic function by sending the reaction force to a master device for a surgeon. The results will contribute to create surgical benefit such as shortening the practice time of a surgeon and giving haptic information to surgeon by using it as haptic signal to protect an organ by making force boundary.

ASYMMETRY OF MAGNETIC HELICITY FLUX IN EMERGING BIPOLAR ACTIVE REGIONS

  • Yang, Dan;Jiang, Yunchun;Yang, Jiayan;Bi, Yi;Yang, Bo
    • Journal of The Korean Astronomical Society
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    • v.47 no.3
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    • pp.105-113
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    • 2014
  • We apply differential affine velocity estimator (DAVE) to the Solar Dynamics Observatory (SDO)/Helioseismic and Magnetic Imager (HMI) 12-min line-of-sight magnetograms, and separately calculate the injected magnetic helicity for the leading and the following polarities of nine emerging bipolar active regions (ARs). Comparing magnetic helicity flux of the leading polarity with the following polarity, we find that six ARs studied in this paper have the following polarity that injected more magnetic helicity flux than that of the leading polarity. We also measure the mean area of each polarity in all the nine ARs, and find that the compact polarity tend to possess more magnetic helicity flux than the fragmented one. Our results confirm the previous studies on asymmetry of magnetic helicity that emerging bipolar ARs have a polarity preference in injecting magnetic helicity. Based on the changes of unsigned magnetic flux, we divide the emergence process into two evolutionary stages: (1) an increasing stage before the peak flux and (2) a constant or decreasing stage after the peak flux. Obvious changes on magnetic helicity flux can be seen during transition from one stage to another. Seven ARs have one or both polarity that changed the sign of magnetic helicity flux. Additionally, the prevailing polarity of the two ARs, which injects more magnetic helicity, changes form the following polarity to the leading one.

Comparison of Automatic Calibration for a Tank Model with Optimization Methods and Objective Functions

  • Kang, Min-Goo;Park, Seung-Woo;Park, Chang-Eun
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.44 no.7
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    • pp.1-13
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    • 2002
  • Two global optimization methods, the SCE-UA method and the Annealing-simplex (A-S) method for calibrating a daily rainfall-runoff model, a Tank model, was compared with that of the Downhill Simplex method. The performance of the four objective functions, DRMS (daily root mean square), HMLE (heteroscedastic maximum likelihood estimator), ABSERR (mean absolute error), and NS (Nash-Sutcliffe measure), was tested and synthetic data and historical data were used. In synthetic data study. 100% success rates for all objective functions were obtained from the A-S method, and the SCE-UA method was also consistently able to obtain good estimates. The downhill simplex method was unable to escape from local optimum, the worst among the methods, and converged to the true values only when the initial guess was close to the true values. In the historical data study, the A-S method and the SCE-UA method showed consistently good results regardless of objective function. An objective function was developed with combination of DRMS and NS, which putted more weight on the low flows.

Fiscal Convergence and Total Factor Productivity: Firm-Level Evidence from Pakistan

  • KHAN, Usman Shaukat;KHAN, Muhammad Arshad;NAWAZ, Saima;RAHMAN, Abdul
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.10
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    • pp.555-569
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    • 2020
  • This study examines the impact of corporate tax, a fiscal measure along with trade liberalization and research and development on total factor productivity for a panel of 153 industrial firms listed on the Pakistan Stock Exchange over the period 1997-2017. For empirical analysis, we employ the system generalized method of moment estimator. In the first step, we estimate industrial production function and the results reveal that raw material, industrial labour force and energy play vital role in enhancing industrial production. Whereas, industrial capital exerts negative impact on industrial output. We also measured total factor productivity using the production elasticities. In the second step, we examine the impact of corporate tax, trade liberalization and research and development on total factor productivity. The results indicate that higher level of corporate tax exerts negative impact on total factor productivity. The findings reveal that higher corporate taxation discourages industrial firms to undertake research and development thereby exerting adverse impact on total factor productivity of firms. The impact of trade liberalization proxied by average tariff is positive while customs duty and sales tax negatively impact firm-level total factor productivity. These findings provide useful insights for managers, investors and policy makers in Pakistan.

Cosmology with peculiar velocity surveys

  • Qin, Fei
    • The Bulletin of The Korean Astronomical Society
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    • v.46 no.2
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    • pp.43.5-44
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    • 2021
  • In the local Universe, the gravitational effects of mass density fluctuations exert perturbations on galaxies' redshifts on top of Hubble's Law, called 'peculiar velocities'. These peculiar velocities provide an excellent way to test the cosmological model in the nearby Universe. In this talk, we present new cosmological constraints using peculiar velocities measured with the 2MASS Tully-Fisher survey (2MTF), 6dFGS peculiar-velocity survey (6dFGSv), the Cosmicflows-3 and Cosmicflows-4TF compilation. Firstly, the dipole and the quadrupole of the peculiar velocity field, commonly named 'bulk flow' and 'shear' respectively, enable us to test whether our cosmological model accurately describes the motion of galaxies in the nearby Universe. We develop and use a new estimators that accurately preserves the error distribution of the measurements to measure these moments. In all cases, our results are consistent with the predictions of the Λ cold dark matter model. Additionally, measurements of the growth rate of structure, fσ8 in the low-redshift Universe allow us to test different gravitational models. We developed a new estimator of the "momentum" (density weighted peculiar velocity) power spectrum and use joint measurements of the galaxy density and momentum power spectra to place new constraints on the growth rate of structure from the combined 2MTF and 6dFGSv data. We recover a constraint of fσ8=0.404+0.082-0.081 at an effective redshift zeff=0.03. This measurement is also fully consistent with the expectations of General Relativity and the Λ Cold Dark Matter cosmological model.

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Evaluation of Damaged Stand Volume in Burned Area of Mt. Weol-A using Remotely Sensed Data (위성자료를 이용한 산화지의 입목 손실량 평가)

  • Ma, Ho-Seop;Chung, Young-Gwan;Jung, Su-Young;Choi, Dong-Wook
    • Journal of the Korean Association of Geographic Information Studies
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    • v.2 no.2
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    • pp.79-86
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    • 1999
  • This study was carried out to estimate the area of damaged forest and the volume of stand tree in burned area, Mt. Weol-A in eastern Chinju, Korea using digital maps derived from supervised classification of Landsat thematic mapper(TM) imagery as reference data. Criterion laser estimator and WinDENDRO$^{tm}$(v. 6.3b) system as a computer-aided tree ring measuring system were used to measure a volume and age of sampled tree. The sample site had been chosen in unburned areas having the same terrain condition and forest type of burned areas. The tree age, diameter at breast height, tree height and volume of the sample tree selected from sample site in unburned area were 27years, 20.9cm, 9.7m and $0.1396m^3$ respectively. Total stand volume of sample site was estimated $2.9316m^3$/0.04ha, Damaged stand volume evaluated to about $16,007m^3$ in the burned area of 218.4ha.

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