• Title/Summary/Keyword: continuous observation

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Volcano Monitoring Using Earthquakes (지진을 이용한 화산감시)

  • Han, Arim;Park, Iseul;Kim, Ki Young
    • Geophysics and Geophysical Exploration
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    • v.16 no.4
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    • pp.268-274
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    • 2013
  • Continuous seismic observation of volcanic earthquakes related to migration of magma or gas, is one of the most important methods used to monitor active volcanoes. In this review paper, we introduce the characteristics of volcanic earthquakes and their classification based on locations of foci, waveforms, frequencies, lithology, and source mechanisms. We also present some examples of successful warnings of volcanic eruptions and the present status of some observations of volcanic earthquakes in Japan, the United States, Italy, and New Zealand.

A Study on the Applicability of PTS to Establish Standard Time for Agricultural Work of Korea

  • Park, Hee Sok
    • Journal of the Ergonomics Society of Korea
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    • v.34 no.2
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    • pp.145-149
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    • 2015
  • Objective: This study aims to analyze qualitatively if PTS methods are applicable to the agricultural works of Korea. Background: Many studies on setting standard time have been performed for manufacturing and service industries, not many studies on agricultural work have been carried out domestically and internationally. Method: MTM, MOST, Work Factor, MODAPTS were applied to some agricultural works, and limitations of each method were found out. Results: MTM was found to be more applicable than other methods, except for mental works. Conclusion: In general, many Korean agricultural works need squat postures, which are not taken into account in most of PTS methods. Continuous observation with stop watch is recommended for establishing the standard time for the agricultural works of Korea. Application: The information drawn from this study would be helpful to the farmer safety assurance system being established by Korean government.

Two-Step Suboptimal Filters for Linear Dynamic Systems

  • Ahn, Jun-Il;Minhas, Rashid;Shin, Vladimir
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.16-21
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    • 2005
  • This paper considers the problem of state estimation in linear continuous-time systems with multi-sensor environment and observation uncertainties. We propose two suboptimal filtering algorithms for these types of systems. The filtering algorithms consist of two steps: The local optimal Kalman estimates are computed at the first step. And, these local estimates are lineally fused at the second step. The implementation of the two-step filtering algorithms needs a lower memory demand than the optimal Kalman and adaptive Lainiotis-Kalman filters. In consequence of parallel structure of the proposed filters, the parallel computers can be used for their design. The examples exhibit the effect of common noise on the performance of fusion of the local Kalman estimates based on observations from different sensors and in the presence of uncertainties.

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Welding Characteristics of Inconel 600 using a high power CW Nd:YAG Laser (고출력 CW Nd:YAG 레이저를 이용한 인코넬 600의 용접 특성)

  • Yoo Young-Tae;Shin Ho-Jun;Lim Kie-Gon
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.13 no.6
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    • pp.119-126
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    • 2004
  • The welding characteristics of Inconel 600 Alloy using a continuous wave Nd:YAG laser are experimentally investigated. The major process parameters studied in the present laser welding experiment were the positions of focus, laser power and travel speed of laser bean We measured the fusion zone size and its shape using an optical microscope for the observation of cross-sectional area. We performed two tests regarding the tension and the micro hardness for welding quality estimation. Then we measured residual stress in welds by electronic speckle pattern interferometry(ESPI). In conclusion the optimum butt welding process parameters were 0.5mm focus position, 1.6kW laser power, 1m/min travel speed and 5.5$\ell$/min assist gas discharge.

Black Hole Binaries Dynamically Formed in Globular Clusters

  • Park, Dawoo;Kim, Chunglee;Lee, Hyung Mok;Bae, Yeong-Bok;Belczynski, Krzysztof
    • The Bulletin of The Korean Astronomical Society
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    • v.42 no.1
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    • pp.43.1-43.1
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    • 2017
  • We investigate properties of black hole (BH) binaries formed in globular clusters, by using direct N-body simulations. Comparing with previous studies which usually considered single BH masses, our models consist of two-component BH masses, or continuous BH mass function with single mass ordinary cluster stars. During the early stage of dynamical evolution, initially distributed BHs are move to the cluster center by dynamical friction, then BH-BH binaries start to be formed, and eventually be ejected from the cluster due to three body interaction. Finally we find the formation efficiency of high mass BHs are alwats larger than that of lower mass BHs, implying that a BH mass spectrum expected from GW observation should be biased to high mass. In addition, mass ratios of BHs in binaries prefer similar masses (ratio~1), while the most extreme case is less than 3. Expected merger rate from our models is about 7 BH-BH mergers per $Mpc^3$ per yr.

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The Optimal Ordering Policy for the Generalized Two-Stage Inventory System (일반화된 2단계 재고체계에서의 최적주문정책)

  • 정남기;차동원
    • Journal of the Korean Operations Research and Management Science Society
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    • v.4 no.1
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    • pp.25-31
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    • 1979
  • We consider the optimal ordering policy for a single-product two-stage inventory system where the main assumptions are as follows: (i) constant continuous demand only at stage 2, (ii) constant input (production) rate at stage 1, (iii) instantaneous delivery (transportation) from stage 1 to stage 2, (iv) backlogging is allowed only at stage 2, (v) an infinite planning horizon. Costs considered are ordering and linear holding costs at both stages, and linear shortage cost only at stages 2. By solving 9 different case problems, we have observed the general from of the optimal ordering policies for our model which minimizes the total cost per unit time. It is noticeable from this observation that the questionable but more often than not adopted assumption by many authors in determining the optimal potimal policy for multistage inventory systems, that the ordering (lot) sizes at each stage remain constant thruout the planning horizon, is not valid.

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Variance Analysis for State Estimation In Communication Channel with Finite Bandwidth (유한한 대역폭을 가지는 통신 채널에서의 상태 추정값에 대한 분산 해석)

  • Fang, Tae-Hyun;Choi, Jae-Weon
    • Proceedings of the KSME Conference
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    • 2000.11a
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    • pp.693-698
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    • 2000
  • Aspects of classical information theory, such as rate distortion theory, investigate how to encode and decode information from an independently identically distributed source so that the asymptotic distortion rate between the source and its quantized representation is minimized. However, in most natural dynamics, the source state is highly corrupted by disturbances, and the measurement contains the noise. In recent coder-estimator sequence is developed for state estimation problem based on observations transmitted with finite communication capacity constraints. Unlike classical estimation problems where the observation is a continuous process corrupted by additive noises, the condition is that the observations must be coded and transmitted over a digital communication channel with finite capacity. However, coder-estimator sequence does not provide such a quantitative analysis as a variance for estimation error. In this paper, under the assumption that the estimation error is Gaussian distribution, a variance for coder-estimation sequence is proposed and its fitness is evaluated through simulations with a simple example.

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Maximization of Dynamic Range in Wave Digital Filter (웨이브 디지탈 필터의 동적범위 최대화)

  • 권희훈;김명기
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.12 no.4
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    • pp.373-385
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    • 1987
  • The scaled WDF should be optimized from the point of view of dynamic range. Transformer scaling method is attempted to maximize the dynamic range by equalizing the gains in the different nodes of the WDF. In this paper, the dual network and different frequencies are used to study the effects of different topology and of sampling frequency. Comparing with the unscaled WDF, the most significant observation is that the SNR is improved in the range of 7 to 35 dB in the WDF scaled by the trasnsformer scaling method. In addition, the SNR shows a continuous drop with the increase of sampling frequency, but scaling effects seem to decrease the rate at which the SNR drop.

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A Study on the Monitoring Technology of Prediction for Grinding Wheel Condition (연삭 숫돌 상태의 감시 진단에 관한 연구)

  • 이전헌;강재훈;김원일;이윤경;왕덕현
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1994.10a
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    • pp.125-130
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    • 1994
  • Recently,manufacturing work been transformed to small acale production from with various items to act up to user's expectation from mass production with a little items required in the past. The FMS using NC type mother machinaries has been applied actively also in domestic manufacturing line to meet thus tendancy, but there are many machining troubles occured in work process not be settled yet. Nowdays high efficiency has been required no less than high precision in grinding work for the improvement of productivity. In this study, to represent more advanced FMS can be adapted to thus situation In-process type monitoring method using AE and Current sensors is suggested to investigatethe machining condition in grinding process. As results from this experimental study, is is recoqnized well that grinding conditions and dressing point of in time can be estimated effectively using monitoring method suggested. Furthermore, surface shape of grinding wheel on voluntary point of in time can be predicted indirectly through the observation and comparison of AE signal waveform obtained as performance of continuous dressing work.

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Bayesian Multiple Change-Point Estimation and Segmentation

  • Kim, Jaehee;Cheon, Sooyoung
    • Communications for Statistical Applications and Methods
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    • v.20 no.6
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    • pp.439-454
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    • 2013
  • This study presents a Bayesian multiple change-point detection approach to segment and classify the observations that no longer come from an initial population after a certain time. Inferences are based on the multiple change-points in a sequence of random variables where the probability distribution changes. Bayesian multiple change-point estimation is classifies each observation into a segment. We use a truncated Poisson distribution for the number of change-points and conjugate prior for the exponential family distributions. The Bayesian method can lead the unsupervised classification of discrete, continuous variables and multivariate vectors based on latent class models; therefore, the solution for change-points corresponds to the stochastic partitions of observed data. We demonstrate segmentation with real data.