• Title/Summary/Keyword: Short break time

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The Effects of Short Break Time and Mouse Clicks on the VDT Work by using Subjective Discomfort (VDT 작업시 짧은 휴식시간과 마우스 클릭이 주관적 불편도에 미치는 영향에 관한 연구)

  • Kim, Yu-Chang;Lee, Jun-Pal
    • Journal of the Korean Society of Safety
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    • v.23 no.2
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    • pp.30-36
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    • 2008
  • This paper suggests the best work conditions, including short break time and number of mouse clicks on a computer, to prevent MSDs(Musculoskeletal Disorders) on VDT(Visual Display Terminal) work. Discomfort measures are calculated according to the Borg's CR-10 Scale. The short break time conditions are grouped into 7, 15, and 30 seconds after every 10-minute work period and the number of mouse clicks are divided into 10 clicks/min, 20clicks/min, and 30clicks/min. The result of the ANOVA on the shift value of subjective discomfort shows the following: 1) Regarding the break time and the number of mouse clicks, there are statistical differences between the measured values for the neck and the wrist(p<0.05). 2) Regarding the number of mouse clicks, there are statistical differences between the measured values for the shoulder and the forearm(p<0.1). 3) Regarding the break time and the number of mouse clicks, there are no statistical differences between the measures values for the eyes, upper arms and back(p<0.1).

A Study on the Short Break Time on VDT Work using EMG (근전도를 이용한 VDT 작업시 짧은 휴식시간에 관한 연구)

  • Kim, Yu-Chang;Lee, Jun-Pal
    • Journal of the Ergonomics Society of Korea
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    • v.26 no.4
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    • pp.41-47
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    • 2007
  • This paper suggested the best work conditions including short break time and the number of mouse clicks on the computer work for the prevention of MSDs on VDT work. Fatigue measures included EMG based parameters. The short break time conditions are grouped into 7, 15, and 30 seconds after every work for 10 min and the number of mouse clicks are divided into 10, 20, and 30 clicks/min. The result of the ANOVA of the shift value of %MVC(Maximum Voluntary Contraction) showed the following: 1) There was a considerable difference as regards to the break time except the number of mouse clicks on the upper trapezius muscle(p$<$0.05). The best conditions were shown in 15 sec after every 10 min and 30 clicks/min. 2) There were considerable differences as regards to the number of mouse clicks except the break time on the extensor digitorum muscle and extensor carpi ulnaris muscle(p$<$0.05). The best conditions were shown in 7 sec after every 10min and 10 clicks/min.

A Breakeven Analysis Using the Excel for an Engineering Project (Excel을 이용한 공학적 투자사업의 손익분기점분석)

  • Kim, Jin-Wook;Lee, Hyun-Ju;Kim, Jin
    • IE interfaces
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    • v.15 no.3
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    • pp.279-285
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    • 2002
  • A break-even analysis is a method used widely for profit planning or decisions in most companies. It is useful tool in financial studies because it is simple and offers useful insights from a modest amount of data. Although it is widely used, it has some weaknesses. It is limited in particular to the analysis for a short term time horizon or one period. We suggest a new break-even procedure to analyze projects with a long term time horizon as keeping the simplicity of a conventional break-even analysis. We will make efforts doing to include actual data for a cost or an income as much as possible rather than developing a mathematical model to improve unreality of a traditional break-even analysis. Also, we will use the spreadsheet software to solve problems.

Study on the Synthesis of Wool-blending Fiber Bundle and New Signs of the Curve

  • Ren Yonghua;Yu Jianyong
    • Fibers and Polymers
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    • v.6 no.4
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    • pp.339-342
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    • 2005
  • In this paper, a hand-operating method (tiled test method) of the wool-blending sample is made out, and make use of the method, the test of wool-blending bundle in different blending ratio is accomplished. According to the test data, the synthesis method of the stretch curve is worked out and the synthesis software for the typical stretch curve of wool-blending bundle is designed. Through laboratory hand-operating method, the blending fasciculus applying to fiber bundle test can be obtained in a short time. Calculation for sampling is accomplished in the article. We bring up 9 new signs to describe the characteristics of the curve behind peak for the first time: elongation behind peak (HE), elongation percentage behind peak (HEP), relative elongation rate behind peak (RHE), total break work $(W_a)$, break work behind peak (HW), break work coefficient behind peak (HWC), elongation percentage of half-load behind peak (HEL), load percentage of half-elongation behind peak (HLE), break efficiency behind peak (HEC).

Estimation of LOCA Break Size Using Cascaded Fuzzy Neural Networks

  • Choi, Geon Pil;Yoo, Kwae Hwan;Back, Ju Hyun;Na, Man Gyun
    • Nuclear Engineering and Technology
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    • v.49 no.3
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    • pp.495-503
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    • 2017
  • Operators of nuclear power plants may not be equipped with sufficient information during a loss-of-coolant accident (LOCA), which can be fatal, or they may not have sufficient time to analyze the information they do have, even if this information is adequate. It is not easy to predict the progression of LOCAs in nuclear power plants. Therefore, accurate information on the LOCA break position and size should be provided to efficiently manage the accident. In this paper, the LOCA break size is predicted using a cascaded fuzzy neural network (CFNN) model. The input data of the CFNN model are the time-integrated values of each measurement signal for an initial short-time interval after a reactor scram. The training of the CFNN model is accomplished by a hybrid method combined with a genetic algorithm and a least squares method. As a result, LOCA break size is estimated exactly by the proposed CFNN model.

Break-even Analysis with Learning Effect Under Inflation

  • Kim, Ji-Soo;Kim, Jin-Wook;Rim, Jeong-Mook
    • Journal of Korean Institute of Industrial Engineers
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    • v.14 no.1
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    • pp.91-101
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    • 1988
  • Break-even analysis is a simple and useful tool in decisions and planning activities though its use is somewhat limited to short-term analysis. The subject is discussed in the fields of engineering economics, production management, cost and managerial accounting, finance, marketing, and so on. Conventional break-even analysis suits the case of stable price and low interest rate. In this paper, we try to overcome the limit by considering following factors, namely, time value of money, depreciation, tax, and capital gains. Also, considering learning effect, we increase applicability to a new project which raises certain changes such as a replacement of production process, an employee turnover, etc. Thus, we suggest a model which has a dynamic break-even quantity per period for the project. Furthermore, we examine the effect of inflation in break-even analysis.

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Analysis of Hydrograph by Dam Breach Shapes (댐 파괴형상에 따른 수문곡선 해석)

  • Park, Ki-Bum
    • Journal of Environmental Science International
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    • v.16 no.4
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    • pp.487-493
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    • 2007
  • In this study is analysis which dams breach shapes are effect on peak discharge of dam-failure. The dam breach shapes and failure time are important peak discharge when dam failure. When dam failure times are 1hr, 2hr and 3hr condition for the ECRD and 0.1hr and 0.2hr for the CG and CFRD that breach shapes changed base length $B_b=1Hd,\;B_b=2Hd\;and\;B_b=3Hd$. As the results from DAMBRK(Dam Break model) peak discharge are increase base widths lengthen. As failure time is longer then peak discharge is decrease. So peak discharge is increase more short of dam failure time. Also peak discharge is increase become larger dam breach shapes.

Study of Short-Circuit Currents Around Dĕtmarovice Power Station

  • Ali, Shehab Abdulwadood
    • Transactions on Electrical and Electronic Materials
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    • v.15 no.3
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    • pp.117-124
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    • 2014
  • The calculation of short-circuit currents is important for power systems operation and restoration, and for determining the means to protect human lives and properties. In this paper, a part of a power system network, around the D$\breve{e}$tmarovice power station in Czech Republic, was simulated by the well known program EMTP-ATPDraw (Electromagnetic Transients Program-Alternative Transient Program), and short-circuit currents and voltages were calculated at different points in the electric network and presented as a time function by the PlotXY program. Calculations were done just for phase-to-ground, and for the three-phase short-circuit at the Kun$\check{c}$ice substation. The results were important for determining the characteristics of the equipment required to withstand or break the short-circuit current; for this reason, the calculations were repeated using earth-fault resistances only for the case of busbar KUN shown in Figs. 5 and 6.

The study of a primary role of Back up Breaker and Making Switch for Short Circuit Test (단락시험에서 후비보호차단기와 투입스위치의 중요 역할)

  • Kim, Sun-Koo;Kim, Seon-Ho;Kim, Won-Man;Roh, Chang-Il;Lee, Dong-Jun;Jung, Heung-Soo
    • Proceedings of the KIEE Conference
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    • 2007.07a
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    • pp.915-916
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    • 2007
  • There are many equipments for the Short Circuit Test, for example Short Circuit Generator, Induction Motor, Sequence Timer, Exciter, CLR, Back Up Breaker, Making Switch and TRV etc. Especially Back up Breaker and Making Switch are very important equipments to test the short circuit test. A role of a Back up Breaker is to break high-voltage and high-current for short circuit test and a Making Switch should be operated always same speed/time and kept electrical-mechanical characteristics to make the voltage and current of short circuit test. This study introduces to the short circuit test also to kinds, principal movements and compare them of Back up Breaker and Making Switch.

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An accident diagnosis algorithm using long short-term memory

  • Yang, Jaemin;Kim, Jonghyun
    • Nuclear Engineering and Technology
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    • v.50 no.4
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    • pp.582-588
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    • 2018
  • Accident diagnosis is one of the complex tasks for nuclear power plant (NPP) operators. In abnormal or emergency situations, the diagnostic activity of the NPP states is burdensome though necessary. Numerous computer-based methods and operator support systems have been suggested to address this problem. Among them, the recurrent neural network (RNN) has performed well at analyzing time series data. This study proposes an algorithm for accident diagnosis using long short-term memory (LSTM), which is a kind of RNN, which improves the limitation for time reflection. The algorithm consists of preprocessing, the LSTM network, and postprocessing. In the LSTM-based algorithm, preprocessed input variables are calculated to output the accident diagnosis results. The outputs are also postprocessed using softmax to determine the ranking of accident diagnosis results with probabilities. This algorithm was trained using a compact nuclear simulator for several accidents: a loss of coolant accident, a steam generator tube rupture, and a main steam line break. The trained algorithm was also tested to demonstrate the feasibility of diagnosing NPP accidents.