• Title/Summary/Keyword: anticipating

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A Study on Standards for Farm Housing Systems: Acoustic Analysis of Feed Anticipating Calls of Heifers and Cows (사육시설 기준 설정 연구: 사료급여 전 젖소 발성음에 대한 음성학적 분석)

  • Cheon, Si-Nae;Lee, Jun-Yeob;Yang, Seung-Hak;Park, Kyu-Hyun;Jeon, Jung-Hwan
    • Journal of Animal Environmental Science
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    • v.20 no.1
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    • pp.21-26
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    • 2014
  • The goal of this study was to investigate acoustic characteristic of feed anticipating calls of heifers and cows. 6 cows and 6 heifers housed in a pen ($6.0m{\times}10.0m$) which was bedded with sawdust and straw. They were fed a standard ration of commercial concentrate and hay was ad libitum. The calls of heifers and cows were divided into Type 1 and Type 2 which were classified based on the shapes of waveform and spectrograms, respectively. There was difference in the fundamental frequency (P < 0.0001) and $1^{st}$ formant (P < 0.0077) among the calls. Acoustic parameters with the exception of fundamental frequency and $1^{st}$ formant were no difference between cows' calls and heifers' calls (P > 0.05). Duration of cows' calls was lower than that of heifers' calls, whereas the intensity of Type 1 calls was higher than that of Type 2 calls (P > 0.05).

Predicting the indirect tensile strength of self-compacting concrete using artificial neural networks

  • Mazloom, Moosa;Yoosefi, M.M.
    • Computers and Concrete
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    • v.12 no.3
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    • pp.285-301
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    • 2013
  • This paper concentrates on the results of experimental work on tensile strength of self-compacting concrete (SCC) caused by flexure, which is called rupture modulus. The work focused on concrete mixes having water/binder ratios of 0.35 and 0.45, which contained constant total binder contents of 500 $kg/m^3$ and 400 $kg/m^3$, respectively. The concrete mixes had four different dosages of a superplasticizer based on polycarboxylic with and without silica fume. The percentage of silica fume that replaced cement in this research was 10%. Based upon the experimental results, the existing equations for anticipating the rupture modulus of SCC according to its compressive strength were not exact enough. Therefore, it is decided to use artificial neural networks (ANN) for anticipating the rupture modulus of SCC from its compressive strength and workability. The conclusion was that the multi layer perceptron (MLP) networks could predict the tensile strength in all conditions, but radial basis (RB) networks were not exact enough in some circumstances. On the other hand, RB networks were more users friendly and they converged to the final networks quicker.

The Impact of Organizational Safety Culture on the Resilience Ability : Focused on the Construction Industry (조직의 안전문화가 레질리언스 역량에 미치는 영향 : 건설업을 중심으로)

  • Chu, Chan Ho;An, Kang Min;Baek, Dong Hyun
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.44 no.3
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    • pp.73-85
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    • 2021
  • The construction industry is considered to be a fatal accident industry, accounting for 28.5% of the total industrial accidents in 2017, as the number of industrial accidents in the construction industry has steadily increased over the past decade. So it is necessary to consider introducing Resilience Engineering, which is actively applied to risky industries around the world, to drastically reduce construction accidents. Although Resilience Engineering, which has emerged as the next-generation safety management centered on Hollnagel since the 2000s, claims the importance of strengthening Resilience abilities considering organizational structure and culture, most studies focus only on developing evaluation indicators. The purpose of this study is to analyze the impact of an organization's safety culture on its Resilience abilities in the construction industry. Specifically, it conducted empirical analysis on the impact of safety culture consisting of 'communication, leadership and safety systems' on the Resilience abilities(responding ability, monitoring ability, learning ability, anticipating ability), and the mediation relationship between leadership, communication, and safety system. The survey was conducted on construction workers, and an empirical analysis was conducted on the final 154 responses using SPSS 25 and Smart PLS 3. The results showed that the safety system had a significant impact on all Resilience Abilities, and communication had a significant impact on the remaining three except for anticipating ability among Resilience Abilities. On the other hand, leadership has been shown to have a significant impact on anticipating ability only. In the verifying of the mediation relationship between leadership, communication and safety systems, it was found that leadership affects all Resilience abilities by means of safety systems, but communication can only affect responding ability. This study has practical significance in that it suggests the need for policy-level efforts to introduce and apply Resilience Engineering and then expanded the effective safety management assessment of the construction industry in the future. Moreover, the academic implications are important in that the study attempted to expand the academic scope for a paradigm shift in the future as the safety culture has identified its impact on the Resilience abilities.

GENERALIZED WHITE NOISE FUNCTIONALS ON CLASSICAL WIENER SPACE

  • Lee, Yuh-Jia
    • Journal of the Korean Mathematical Society
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    • v.35 no.3
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    • pp.613-635
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    • 1998
  • In this note we reformulate the white noise calculus on the classical Wiener space (C', C). It is shown that most of the examples and operators can be redefined on C without difficulties except the Hida derivative. To overcome the difficulty, we find that it is sufficient to replace C by L$_2$[0,1] and reformulate the white noise on the modified abstract Wiener space (C', L$_2$[0, 1]). The generalized white noise functionals are then defined and studied through their linear functional forms. For applications, we reprove the Ito formula and give the existence theorem of one-side stochastic integrals with anticipating integrands.

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RANDOM VARIATES GENERATION FROM VARIOUS DISTRIBUTIONS

  • Lee, Chun-Jin
    • Journal of applied mathematics & informatics
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    • v.2 no.1
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    • pp.25-32
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    • 1995
  • Due to the complexity of many of the existing statistical problems found in working with envirommental copmuter simulations (Monte Carlo)have proved to be very informative. However, due to the various types of environmental data(thus the different type of distributions) one can no longer perform simulations based solely upon normal data. So in anticipating this problem, this paper outlines the computer software to generate variates from the various specified dis-tributions.

Establishment of the Low-Resolution National Wind Map by Numerical Wind Simulation (수치바람모의에 의한 저해상도 국가 바람지도의 구축)

  • Kim, Hyun-Goo;Jang, Moon-Seok;Kyong, Nam-Ho;Lee, Hwa-Woon;Choi, Hyun-Jeong;Kim, Dong-Hyuk
    • Journal of the Korean Solar Energy Society
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    • v.26 no.4
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    • pp.31-38
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    • 2006
  • The national goal of wind energy dissemination has to be determined rationally based on technically available wind resource potential. For an accurate and scientific estimation of wind resource potential, a wind map is requisite. This paper introduces the national wind map of Korea established by numerical wind simulation. Therefore, quantification of national wind resource potential is now possible and is anticipating to be used as a core index for policy and strategy building of wind energy dissemination and technology development.

Robust Fault-Tolerant Control for a Robot System Anticipating Joint Failures in the Presence of Uncertainties (불확실성의 존재에서 관절 고장을 가지는 로봇 시스템에 대한 강인한 내고장 제어)

  • 신진호
    • Journal of Institute of Control, Robotics and Systems
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    • v.9 no.10
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    • pp.755-767
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    • 2003
  • This paper proposes a robust fault-tolerant control framework for robot manipulators to maintain the required performance and achieve task completion in the presence of both partial joint failures and complete joint failures and uncertainties. In the case of a complete joint failure or free-swinging joint failure causing the complete loss of torque on a joint, a fully-actuated robot manipulator can be viewed as an underactuated robot manipulator. To detect and identify a complete actuator failure, an on-line fault detection operation is also presented. The proposed fault-tolerant control system contains a robust adaptive controller overcoming partial joint failures based on robust adaptive control methodology, an on-line fault detector detecting and identifying complete joint failures, and a robust adaptive controller overcoming partial and complete joint failures, and so eventually it can face and overcome joint failures and uncertainties. Numerical simulations are conducted to validate the proposed robust fault-tolerant control scheme.