• Title/Summary/Keyword: Short-term measurement

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The Toxicity Test of Water Flea by Heartbeat Measurement (물벼룩의 심장박동을 이용한 독성실험)

  • Lee, Chan-Won;Kim, In-Kyung;Jeon, Hong-Pyo
    • Journal of Environmental Science International
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    • v.16 no.4
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    • pp.425-432
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    • 2007
  • The water flea has been used as a test organism of toxicity test for surface water. Toxicity test with water flea is categorized into two parts. One is acute toxicity test with observing immobility and mortality and the other is chronic toxicity test determined by survival and reproduction of water flea. Heartbeat measurement of water flea was designed as a short-term toxicity test in this study. Direct measurement of heartbeat under microscope by aid of video camera gives and early diagnosis of mortality in short time. Therefore, the effects of measuring illumination, measuring time, and non-feeding during the test on heartbeat of water flea was evaluated to establish a new test approach. Test organisms used in this study are Daphnia magna, a well standardizes toxicity test organism, and Simocephalus mixtus, a newly refined organism $IC_{50}$ values of these test organism by heartbeat measurement were compared and discussed. It was found that toxicity test by heartbeat measurement was a reproducible, easy and simple method accomplished in a few hours.

Analysis of Nursing Studies of Coping Conducted in Korea from 1978 to 1995 (대처 개념의 국내 간호연구 분석)

  • 소향숙;조복희;홍미순
    • Journal of Korean Academy of Nursing
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    • v.26 no.3
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    • pp.709-729
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    • 1996
  • This study was done to analyze the trends of research on coping in Korea, to suggest future direction, for research on coping, and ultimately to contribute to an increase in explanation of adaptation. This article reviewed 79 nursing research papers on coping done since 1978 by examining them according to the period of publication or presentation, research design, type of subjects, measurement instruments, research for a degree or not, range of reliability, and association of coping and related variables. The results are as follows : The number of studies on coping increased rapidly from the mid-1980's and decreased slowly from the mid-1990's. The maority of the studies were surveys, comparative studies, or correlational studies. The subects of the 46 studies were healthy people, while those in the remaining studies were patients with a variety of illnesses. Thirth-eight studies on coping were done for master's thesis, three for dissertion, and 38 were not degrees. The Bell and Jalowiec coping scales have not been used since the early 1990's. In contrast, Lazarus and Folkman's W.C.C.L. has been used increasingly since that time. The reliabilities of the coping scale were reported in 37 cases and the Cronbach's alpha coefficients were .71 to .86. All subjects reported using more problem-oriented coping than emotion-oriented coping in short-term or emotion-oriented coping and healthy groups did more long-term coping. It was difficult to describe consistently the relationship between stress and coping according to the type of coping scale or research subjects, but generally moderate relationships were found. This was due to instrumental problems and no consideration of situational context. The subject group who used more short-term coping and less long-term coping reported poorer mental status, and higher scores in burnout and state anxiey than others. That is, the relationship between stress and adaptation increased the power of explanation with intervening the mediating effect of coping. The association of locus of control, mastery, social support, and self-concept with coping showed positive relationships : those of uncertainty and severity in illness with coping showed negativerelationships ; those of state anxiety and depression with short-term coping were positive, and those of self-esteem with long-term coping or problem-oriented coping were negative. There were significant differences in the scores of types of coping according to religion, level of education, and socio-economic status. That is, Presbyterians and Catholics, those with higher education levels and higher socio-economic status used more long-term or problem-oriented coping. On the basis of the above findings the following recommendations are made : 1. There is a need to test the mediating effect of coping variable in order to clarify the concept. 2. Longitudinal studies are needed to determine the patterns of change in coping strategies when stressful events are encountered. 3. It's necessary to develop a reliable and variable measurement tool for coping. 4. There is a need to identify subscales of coping to increase explanation of variance 5. It's necessary to consider personal, situational, and antecedent variables : the characteristics of subject populations, the natures of illness and treatment situations. 6. The power of explanation of studies designed to identify the stress-adaptation process should be increased using the combination model of process-oriented coping and cognitive-structural model.

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Application of Neural Network for Long-Term Correction of Wind Data

  • Vaas, Franz;Kim, Hyun-Goo
    • New & Renewable Energy
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    • v.4 no.4
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    • pp.23-29
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    • 2008
  • Wind farm development project contains high business risks because that a wind farm, which is to be operating for 20 years, has to be designed and assessed only relying on a year or little more in-situ wind data. Accordingly, long-term correction of short-term measurement data is one of most important process in wind resource assessment for project feasibility investigation. This paper shows comparison of general Measure-Correlate-Prediction models and neural network, and presents new method using neural network for increasing prediction accuracy by accommodating multiple reference data. The proposed method would be interim step to complete long-term correction methodology for Korea, complicated Monsoon country where seasonal and diurnal variation of local meteorology is very wide.

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Recursive Short-Term Load Forecasting Using Kalman Filter and Time Series (칼만 필터와 시계열을 이용한 순환단기 부하예측)

  • 박영문;정정주
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.32 no.6
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    • pp.191-198
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    • 1983
  • This paper describes the aplication of different model which can be used for short-term load prediction. The model is based on Bohlin's approach to first develop a load profile model representing the nominal load component and the Box-Jenkins approach is used to predict residuals. An on-line algorithm using Kalman Filter and Time Series is implemented for and hour-ahead prediction. In the Kalman Filter system equation and measurement equation were fixed and parameters of Time Series were varied week after week. A set of data for Korea Electric Power Corporation from April to June 1981 was used for the evaluation of the model. As the result of this simulation 1.2% rms error was acquired.

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Long Short-Term Memory Network for INS Positioning During GNSS Outages: A Preliminary Study on Simple Trajectories

  • Yujin Shin;Cheolmin Lee;Doyeon Jung;Euiho Kim
    • Journal of Positioning, Navigation, and Timing
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    • v.13 no.2
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    • pp.137-147
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    • 2024
  • This paper presents a novel Long Short-Term Memory (LSTM) network architecture for the integration of an Inertial Measurement Unit (IMU) and Global Navigation Satellite Systems (GNSS). The proposed algorithm consists of two independent LSTM networks and the LSTM networks are trained to predict attitudes and velocities from the sequence of IMU measurements and mechanization solutions. In this paper, three GNSS receivers are used to provide Real Time Kinematic (RTK) GNSS attitude and position information of a vehicle, and the information is used as a target output while training the network. The performance of the proposed method was evaluated with both experimental and simulation data using a lowcost IMU and three RTK-GNSS receivers. The test results showed that the proposed LSTM network could improve positioning accuracy by more than 90% compared to the position solutions obtained using a conventional Kalman filter based IMU/GNSS integration for more than 30 seconds of GNSS outages.

BSC Analysis of Performance Measurement Systems of Government S&T Research Institutes (BSC 관점을 활용한 출연연구기관 평가제도의 수용성 연구)

  • Kim Byung-Tae;Nam Young-Ho
    • Journal of Korea Technology Innovation Society
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    • v.8 no.3
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    • pp.1087-1116
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    • 2005
  • This research examines performance evaluatees' opinions regarding the institutional performance evaluation systems of Government S&T Research Institutes (GRI). Research methodology is as follows: first, four perspectives of Kaplan & Norton (1992) Balanced Scorecard Model are revised into six perspectives suitable to GRI's characteristics. Second, experts classify current performance evaluation measures into the six perspectives. This enables different evaluation systems of three GRI evaluation groups to be compared under the same evaluation measures. Third, GRI's evaluatees are asked to allocate ideal weights on the performance measures. The evaluatees' weights are compared with the weights of current performance measures, and the characteristics of evaluatees' opinions about current performance evaluation systems are analyzed. Results are as follows; first, six perspectives for Korean GRIs are financial, long-term outcome, short-term outcome, strategic direction, project management, human resources perspectives. second, GRI evaluation systems put the most weights on the long- and short-term outcome perspectives and the least weights on the financial perspective. This result complies with theoretical model: in performance evaluation of GRIs, the customer perspective is the most important one while the financial perspective is the least important one. Third, evaluatees think that the long-term outcome perspective of the Basic-technology GRI group and the short-term outcome perspective of the Applied-technology GRI Group needs more weight. Fourth, it is found that the current systems have more weights on the project management and strategic direction perspectives than evaluatees think. The possible explanation of this result would be that since the measures of these perspectives are relatively easier to set up than those of other perspectives, the current systems contains larger number of measures and, accordingly more weights.

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Analysis of Exposure Levels for Inorganic Acids in Korea (무기산류에 대한 국내 작업환경측정 현황 분석)

  • Park, Hae Dong;Park, Seung-Hyun;Jung, Kihyo
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.31 no.3
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    • pp.255-265
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    • 2021
  • Objectives: The purpose of this study is to analyze the exposure characteristics of inorganic acids. Methods: We analyzed exposure data (n = 363,146) for six inorganic acids (hydrogen fluoride, hydrogen bromide, hydrogen chloride, phosphoric acid, nitric acid, and sulfuric acid) collected between 2017 and 2019 in South Korea. Measurement characteristics and exposure levels (ELs) were analyzed by inorganic acid, industry category, enterprise size, and measurement year. Results: Measurement percentage dominated in time-weighted average (TWA, 91%) compared to short term exposure limit (STEL) and Ceiling. Most of the measurements (79.7%) were collected from the manufacturing category of industry. Medians of ELs were mostly low (≤3% of the threshold limit), with the exception of sulfuric acid (4.6% of TWA and 10.5% of STEL). The percentages of exceeding 1% of the occupational exposure limits (OELs) in TWA were relatively high for sulfuric acid (35.8%) and hydrogen chloride (16.5%) compared to the other acids (4.2%-6.6%). In addition, the percentages of exceeding 1% of OELs in STEL or Ceiling were higher for sulfuric acid (22.9%), hydrogen chloride (12.3%), and nitric acid (8.2%) compared to the other acids (1.2%-1.9%). The small-sized enterprises showed higher ELs in TWA; contrarily, the large-sized enterprises had higher ELs in STEL or Ceiling. Conclusions: The measurement characteristics and ELs identified in this study could be useful for establishing safety and health policies for inorganic acids.

De-correlated Compression Filter Based on Time-Propagated Measurement Fusion

  • Lee, Hyung-Keun;Lee, Jang-Gyu;Jee, Gyu-In;Park, Chan-Gook
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.76.2-76
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    • 2001
  • In this paper, a new fusion architecture consisting of a host filter and a do-correlated compression filter is proposed based on propagated measurement fusion. In the proposed architecture, the host filter estimates the system states in long-term sense based on the measurements from the beginning to the current time. The de-correlated compression filter assists the host filter by providing fusion results in short-term sense based on the measurements within a block of time. The proposed de-correlated compression filter alleviates computational burden of the host filter by reducing the maximum amount of instantaneous computation, and provides an efficient environment for real-time fault detection and estimation.

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Measurement Delay Error Compensation for GPS/INS Integrated Systems

  • Lim, You-chol;Joon Lyou
    • 제어로봇시스템학회:학술대회논문집
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    • 2002.10a
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    • pp.33.1-33
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    • 2002
  • The INS provides high rate position, velocity and attitude data with good short-term stability while the GPS provides position and velocity data with long-term stability. By integrating the INS with GPS, a navigation system can be achieved to provide highly accurate navigation performance. For the best performance, time synchronization of GPS and INS data is very important in GPS/INS integrated system. But, it is impossible to synchronize them exactly due to the communication and computation time-delay. In this paper, to reduce the error caused by the measurement time-delay in GPS/INS integrated systems, error compensation methods using separate bias Kalman filter are suggested for both the...

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Dynamic deformation measurement in structural inspections by Augmented Reality technology

  • Jiaqi, Xu;Elijah, Wyckoff;John-Wesley, Hanson;Derek, Doyle;Fernando, Moreu
    • Smart Structures and Systems
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    • v.30 no.6
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    • pp.649-659
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    • 2022
  • Structural Health Monitoring (SHM) researchers have identified Augmented Reality (AR) as a new technology that can assist inspections. Post-seismic structural inspections are conducted to evaluate the safety level of the damaged structures. Quantification of nearby structural changes over short-term and long-term periods can provide building inspectors with information to improve their safety. This paper proposes a Time Machine Measure (TMM) application based on an Augmented Reality (AR) Head-Mounted-Device (HMD) platform. The primary function of TMM is to restore the saved meshes of a past environment and overlay them onto the real environment so that inspectors can intuitively measure dynamic structural deformation and other environmental movements. The proposed TMM application was verified by demo experiments simulating a real inspection environment.