• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 1999년도 Proceedings of International Symposium on Remote Sensing
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• pp.132-134
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• 1999

Rainfall characteristics for designing the optimum millimeter-wave communication systems from two rainfall data set was analyzed. Two rainfall data sets were compared; one-minute rainfall rate data, one-hour synoptic observation data. Each data set has different observation method, sampling frequency. We looked for tendency and quality confluence between two data sets. We showed several results using one-minute rainfall data by millimeter-wave attenuation model. A climatological one-minute rainfall rate data set over Korean Peninsula will be made after data quality control procedure

• 대한전기학회:학술대회논문집
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• 대한전기학회 2006년도 심포지엄 논문집 정보 및 제어부문
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• pp.186-188
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• 2006

To secure abyssal resources, submarine environment should be firstly explored. On that occasion, the withdrawal of the instrument is of importance and the submarine ultrasonic wave should be stably identified regardless submarine environment and passive factor. In the existing control methods, the control informations, received from an observation instrument, are identified used by hardware and repeatedly compared with standard information. Hereupon, a marine observation instrument remote control system using the combination of FSK and ASK that was improved its controllability and movability was presented in this paper. Likewise, the logicality of control algorithm and remote control system were ascertained by experiments.

• 도시과학
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• 제9권1호
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• pp.61-68
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• 2020

Steps are very common features in our living environment. Unfortunately, the occurrence of accidents on steps is thus inevitable. A failed visibility to recognize a step remains the most common attribute in these accidents. In this research, sensory scales of step visibility were created in order to examine the effects of two factors on step visibility in sensory testing methods; observation height from floor and eye condition while viewing a step from the descending direction. Results of sensory tests revealed strong influence of eye condition on step visibility. Influence of visual characteristics of each step was also examined and clarified.

• Communications for Statistical Applications and Methods
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• 제9권2호
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• pp.521-531
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• 2002

Various diagnostic techniques for identifying influential observations are mostly based on the deletion of a single observation. While such techniques can satisfactorily identify influential observations in many cases, they will not always be successful because of some mask effect. It is necessary, therefore, to develop techniques that examine the potentially influential effects of a subset of observations. The partial regression plots can be used to examine an influential observation for a single parameter in multiple linear regression. However, it is often desirable to detect influential observations for a subset of regression parameters when interest centers on a selected subset of independent variables. Thus, we propose a diagnostic measure which deals with detecting influential observations on a subset of regression parameters. In this paper, we propose a measure M, which can be effectively used for the detection of influential observations on a subset of regression parameters in multiple linear regression. An illustrated example is given to show how we can use the new measure M to identify influential observations on a subset of regression parameters.

• 한국산학기술학회논문지
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• 제9권4호
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• pp.964-969
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• 2008

본 논문은 화자 독립의 음성인식을 위한 연구로서, DMS(Dynamic Multi-Section) 모델에 의한 DMSVQ(Dynamic Multi-Section Vector Quantization) 코드북과 퍼지 개념을 이용한 HMM(Hidden Markov Model) 음성인식 방법을 제안한다. 제안된 인식 방법에서는 학습 데이터를 동적으로 몇 개의 구간(section)으로 분할한 후, 각 구간마다 DMSVQ 코드북(codebook)으로 부터 거리값이 작은 순으로 퍼지 법칙을 적용함으로써 적당한 확률값을 준 다중 관측열(multi-observation sequences)을 구한다. 그런 다음, 이 다중 관측열을 이용하여 HMM을 작성하고, 인식시에는 관측 확률값이 가장 높은 것을 인식된 것으로 선택한다. 제안된 방법에 의한 인식 실험은 기존의 다양한 인식 실험들과 비교를 위해 동일한 조건하에서 같은 데이터로 수행 하였다. 실험 결과로서, 본 연구에서 제안한 방법이 기존의 방법들보다 우수한 방법임을 입증하였다.

• Ocean and Polar Research
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• 제27권2호
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• pp.189-195
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• 2005

Several models predict large and potentially abrupt ocean circulation changes due to anthropogenic greenhouse-gas emissions. These circulation changes drive-in the models-considerable oceanic oxygen trend. A sound estimate of the observed oxygen trends can hence be a powerful tool to constrain predictions of future changes in oceanic deepwater formation, heat and carbon dioxide uptake. Estimating decadal scale oxygen trends is, however, a nontrivial task and previous studies have come to contradicting conclusions. One key potential problem is that changes in the historical observation network might introduce considerable errors. Here we estimate the likely magnitude of these errors for a subset of the available observations in the Southern Ocean. We test three common data analysis methods south of Australia and focus on the decadal-scale trends between the 1970's and the 1990's. Specifically, we estimate errors due to sparsely sampled observations using a known signal (the time invariant, temporally averaged, World Ocean Atlas 2001) as a negative control. The crossover analysis and the objective analysis methods are for less prone to spatial sampling location biases than the area averaging method. Subject to numerous caveats, we find that errors due to sparse sampling for the area averaging method are on the order of several micro-moles $kg^{-1}$. for the crossover and the objective analysis method, these errors are much smaller. For the analyzed example, the biases due to changes in the spatial design of the historical observation network are relatively small compared to the tends predicted by many model simulations. This raises the possibility to use historic oxygen trends to constrain model simulations, even in sparsely sampled ocean basins.

• 천문학논총
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• 제20권1호
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• pp.109-116
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• 2005

When we measure a source signal in the presence of a background rate that has been independently measured, the usual approach is to obtain an estimate of the background rate by observing an empty part of the sky, and an estimate of the source signal plus background rate by observing the region where a source signal is expected. The source signal rate is then estimated by subtracting the background rate from the source signal plus background rate. However, when the rates or their observation times are small, this procedure can lead to negative estimates of the source signal rate, even when it should produce a positive value. By applying the Bayesian approach, we solve the problem and prove that the most probable value of source signal rate is zero when the observed total count is smaller than the expected background counts. It is also shown that the results from the conventional method is consistent with the most probable value obtained from the Bayesian approach when the source signal is large or the observation time is long enough.

• 아동학회지
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• 제31권5호
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• pp.131-149
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• 2010

The purpose of this study was to examine research trends in articles of preschooler peer relationships carried in domestic academic journals. This was done in an attempt to suggest alternative directions for peer relationship studies in the early childhood education sector and lay the foundation for future studies. 131 articles that appeared in seven domestic academic journals related to early childhood education were selected and analyzed in order to better understand the general trends in the filed and the specific trends in terms of their content and methods. Our results indicate that the observation method was most common in the quantitative studies, and participant observation was most prevailent among qualitative studies. As for instrumentation, international instruments were most widely utilized, and the most dominant analysis method was descriptive statistics. In terms of reliability, internal consistency was checked most often, however, the majority of the studies failed to provide any information on validity and post-hoc analysis.

• 산업경영시스템학회지
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• 제3권3호
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• pp.41-48
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• 1980

Industrial Psychology is to study and analyze human behavior or working at operation, both to look into the rules in that and to make analysis of rules made from theological basis adapted to reality, wi th methods and knowledges that Psychology gives, by methods that are observation, experiment , investigation and so on, to contribute to improving the production efficiency and promoting the Laborer's welfare, In this paper, the side of Psychology in labor accidents will be studied as follows. 1.The Presentation of Problems 1.1. Concept prescription of Industrial Psychology 1.2. Relation between Industrial psychology and accidents 2.The Theorical approach of Industrial Psychology for accident study 2.1 Industrial Psychology in approach of accident study 2.2. Cooperative effort from other corvelative science 3. Industrial Psychologic observation on important safety policy 3.1. Study of accident origin 3.2. Safety of material equipment 3.3. Safety of work condition 4. Industrial psychological subject on safety instruction development 4.1. Safety instruction and attitude of laborers 4.2. Operation of safety rules 4.3. Safely counselling 4.4. Measures for the injured 5. Conclusion.

• Structural Engineering and Mechanics
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• 제56권2호
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• pp.293-315
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• 2015

While most of researches on system identification of building structures are aimed at finding modal parameters first and identifying the corresponding physical parameters by using the transformation in terms of transfer functions and cross spectra, etc., direct physical parameter system identification methods have been proposed recently. Due to the problem of signal/noise (SN) ratios, the previous methods are restricted mostly to earthquake records or forced vibration data. In this paper, a theoretical investigation is performed on the influence of wind disturbances on stiffness identification of building structures using micro-tremor at limited floors. It is concluded that the influence of wind disturbances on stiffness identification of building structures using micro-tremor at limited floors is restricted in case of using time-series data for low-rise buildings and does not cause serious problems.