• Title/Summary/Keyword: Work Output

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Calibration of Strain Gauge for Thermal Expansion Coefficientof Fiber Reinforced Composites at Cryogenic Temperature (극저온 환경에서의 섬유강화 복합재료의 열팽창 계수 측정을 위한스트레인 게이지의 보정에 관한 연구)

  • Lee, Won-Oh;Lee, Sang-Bok;Yi, Jin-Woo;Um, Moon-Kwang
    • Progress in Superconductivity and Cryogenics
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    • v.12 no.3
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    • pp.1-6
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    • 2010
  • Since the fiber reinforced polymeric (FRP) composites are considered in next generation of space transportation systems, reliable thermal expansion properties should be well provided for structural design of composite materials. To obtain accurate mechanical behaviors at a cryogenic temperature, precise strain measurement and calibration must be provided. In this work, apparent strains (or thermal output) of temperature self-compensated strain gages were deliberately investigated for epoxy, CTBN modified epoxy and carbon fabric composite system from room temperature to liquid nitrogen temperature. Also, fourth-order thermal output curves were presented for the further calibration. The results showed that the thermal output is heavily dependent on test materials and a large amount of apparent strains were observed for the polymer resins.

Identification of Incorrect Data Labels Using Conditional Outlier Detection

  • Hong, Charmgil
    • Journal of Korea Multimedia Society
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    • v.23 no.8
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    • pp.915-926
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    • 2020
  • Outlier detection methods help one to identify unusual instances in data that may correspond to erroneous, exceptional, or surprising events or behaviors. This work studies conditional outlier detection, a special instance of the outlier detection problem, in the context of incorrect data label identification. Unlike conventional (unconditional) outlier detection methods that seek abnormalities across all data attributes, conditional outlier detection assumes data are given in pairs of input (condition) and output (response or label). Accordingly, the goal of conditional outlier detection is to identify incorrect or unusual output assignments considering their input as condition. As a solution to conditional outlier detection, this paper proposes the ratio-based outlier scoring (ROS) approach and its variant. The propose solutions work by adopting conventional outlier scores and are able to apply them to identify conditional outliers in data. Experiments on synthetic and real-world image datasets are conducted to demonstrate the benefits and advantages of the proposed approaches.

Design of Human Works Model for Gantry Crane System

  • Kim, Hwan-Seong;Tran, Hoang-Son;Kim, Seoung-Ho
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2004.08a
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    • pp.102-112
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    • 2004
  • In this paper, we propose a human model for analysis for human work pattern or human fault, where a gantry crane simulator is used to survey the property of human operation. From the input and output of gantry crane response, we make a human operation model by using conventional ARX identification method. For identify the human model, we assume the eight inputs and two outputs. By using the input/output data, we estimate the parameters of ARX of the human system model. For verify the proposed method, we compared the real data with the modeled data, where three kinds of work trajectory path are used.

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Design Principles and Validation of a Human-sized Quadruped Robot Leg for High Energy Efficiency (에너지 효율적인 인간 크기 4족 보행 로봇의 설계와 검증)

  • Yeom, Hoyeon;Ba, Dang Xuan;Bae, Joonbum
    • The Journal of Korea Robotics Society
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    • v.13 no.2
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    • pp.86-91
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    • 2018
  • This paper presents about design efforts of a human-sized quadruped robot leg for high energy efficiency, and verifications. One of the representative index of the energy efficiency is the Cost of Transport (COT), but increased in the energy or work done is not calculated in COT. In this reason, the input to the output energy efficiency should be also considered as a very important term. By designing the robot with customized motor housing, small rotational inertia, and low gear ratio to reduce friction, high energy efficiency was achieved. Squatting motion of one leg was performed and simulation results were compared to the experimental results for validation. The developed 50 kg robot can lift the weight up to 200 kg, and during squatting, it showed high energy efficiency. The robot showed 71% input to output energy efficiency in positive work. Peak current during squatting only appears to be 0.3 A.

Effects of Potassium Ion Concentrations on the Cardiac Performances in the Turtle Heart Amyda japonica (자라 심장 박출량과 $K^{+}$ 농도)

  • Kim, Jun;Nam, Kee-Yong
    • The Korean Journal of Physiology
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    • v.14 no.1
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    • pp.31-39
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    • 1980
  • Changes in cardiac performances were observed under variations of the arterial and/or venous pressures with K-loading or K-depletion in turtle heart. Hearts were perfused with turtle Ringer-Locke's solutions containing various levels of potassium ion concentration. When venous pressure increased from 4 to 12 cm $H_2O$, cardiac output increased from $6.2{\pm}0.68$ to $15.7{\pm}0.75\;ml/min$, concomittantly. On the contrary, cardiac output decreased during the elevation of arterial pressure. Stroke work increased more prominently during the arterial pressure elevation than during the elevation of venous pressure. During K-depletion$(1{\sim}2mEq/L)$, cardiac output increased to two times that of normal K-concentration$(3{\sim}6\;mEq/L)$ group. Heart rate increased also, but less markedly. In K-loaded$(7{\sim}8\;mEq/L)$ group, both the cardiac output and heart rate decreased but stroke volume rather increased, because heart rate decrement was disproportionate to that of cardiac output. We concluded that in perfused turtle heart, cardiac output variation was more sensitive to K_depletion whereas heart rate to K-loading.

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Is Expansionary Fiscal and Monetary Policy Effective in Australia?

  • HSING, Yu
    • Asian Journal of Business Environment
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    • v.9 no.3
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    • pp.5-9
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    • 2019
  • Purpose - This paper examines whether fiscal and monetary expansion would affect output in Australia. Research design, data, and methodology - An extended IS-LM model which describes the equilibrium in the goods market and the money market is applied. The real effective exchange rate and the real stock price are included in order to determine whether there may be any substitution or wealth effect. The sample consists of Annual data ranging from 1990 to 2018. The GARCH process is used in empirical work to correct for potential autoregressive conditional heteroscedasticity. Results - Expansionary fiscal policy reduces output; whereas, expansionary monetary policy raises output. In addition, real appreciation of the Australian dollar, a lower U.S. interest rate, a higher real stock price or a lower expected inflation would increase output. The finding that expansionary fiscal policy has a negative impact on real GDP suggests that the negative crowding-out effect on private spending dominates the positive impact. Conclusions - Fiscal prudence needs to be pursued. Real depreciation of the Australian dollar hurts output. Monetary tightening in the U.S. generates a negative effect on Australia's output. A healthy stock market is conducive to economic growth as higher stock prices tend to result in the wealth and other positive effects, increasing consumption and business spending.

Deep CNN based Pilot Allocation Scheme in Massive MIMO systems

  • Kim, Kwihoon;Lee, Joohyung
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.10
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    • pp.4214-4230
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    • 2020
  • This paper introduces a pilot allocation scheme for massive MIMO systems based on deep convolutional neural network (CNN) learning. This work is an extension of a prior work on the basic deep learning framework of the pilot assignment problem, the application of which to a high-user density nature is difficult owing to the factorial increase in both input features and output layers. To solve this problem, by adopting the advantages of CNN in learning image data, we design input features that represent users' locations in all the cells as image data with a two-dimensional fixed-size matrix. Furthermore, using a sorting mechanism for applying proper rule, we construct output layers with a linear space complexity according to the number of users. We also develop a theoretical framework for the network capacity model of the massive MIMO systems and apply it to the training process. Finally, we implement the proposed deep CNN-based pilot assignment scheme using a commercial vanilla CNN, which takes into account shift invariant characteristics. Through extensive simulation, we demonstrate that the proposed work realizes about a 98% theoretical upper-bound performance and an elapsed time of 0.842 ms with low complexity in the case of a high-user-density condition.

Programming for the Structural Analysis of Form Structure (건축 거푸집 설계 응력산정 프로그램 개발에 관한 기초적 연구)

  • 손기상
    • Journal of the Korean Society of Safety
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    • v.8 no.1
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    • pp.21-28
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    • 1993
  • Occupational Safety & Health Code requires to calculate Design Load and stress for the approval within thirty working days prior to initiating each construction site work This study is to develop an easy and useful program that each safety manager. Controller or engineers are able to make output for the above mentioned form structure analyses without knowledge or engineering background of it. Therefore. three, randomly selected. different major student and engineers verified if they could make output. really without the engineering background. And then some deficiencies are corrected after finding those from the program operation.

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Boosting Power Generation by Sediment Microbial Fuel Cell in Oil-Contaminated Sediment Amended with Gasoline/Kerosene

  • Aleman-Gama, Elizabeth;Cornejo-Martell, Alan J.;Kamaraj, Sathish Kumar;Juarez, Katy;Silva-Martinez, Susana;Alvarez-Gallegos, Alberto
    • Journal of Electrochemical Science and Technology
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    • v.13 no.2
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    • pp.308-320
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    • 2022
  • The high internal resistance (Rint) that develops across the sediment microbial fuel cells (SMFC) limits their power production (~4/10 mW m-2) that can be recovered from an initial oil-contaminated sediment (OCS). In the anolyte, Rint is related to poor biodegradation activity, quality and quantity of contaminant content in the sediment and anode material. While on the catholyte, Rint depends on the properties of the catholyte, the oxygen reduction reaction (ORR), and the cathode material. In this work, the main factors limiting the power output of the SMFC have been minimized. The power output of the SMFC was increased (47 times from its initial value, ~4 mW m-2) minimizing the SMFC Rint (28 times from its initial value, 5000 ohms), following the main modifications. Anolyte: the initial OCS was amended with several amounts of gasoline and kerosene. The best anaerobic microbial activity of indigenous populations was better adapted (without more culture media) to 3 g of kerosene. Catholyte: ORR was catalyzed in birnessite/carbon fabric (CF)-cathode at pH 2, 0.8M Na2SO4. At the class level, the main microbial groups (Gammaproteobacteria, Coriobacteriia, Actinobacteria, Alphaproteobacteria) with electroactive members were found at C-anode and were associated with the high-power densities obtained. Gasoline is more difficult to biodegrade than kerosene. However, in both cases, SMFC biodegradation activity and power output are increased when ORR is performed on birnessite/CF in 0.8 M Na2SO4 at pH 2. The work discussed here can focus on bioremediation (in heavy OCS) or energy production in future work.

A Study on the Maximum Energy Transfer of a Small Industrial Induction Heater (소형산업용 인덕션 히터의 최대에너지 전달에 관한 연구)

  • Lee, Jeong-Bin;Kim, Tae-Myoung;Kim, Young-Wan
    • Journal of IKEEE
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    • v.25 no.3
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    • pp.534-539
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    • 2021
  • Induction heating method that allows the maximum heating power to be delivered by varying switching frequency in the inductance change of the work coil of induction heater was proposed in this paper. Depending on the type of work piece in the work coil and proximity to the work coil, the resonance frequency of the resonant circuit will be changed. It may be difficult to deliver the maximum power due to the damage of the induced heater element or switching loss depending on the resonance frequency and switching frequency operating relationship. The switching frequency was variable to maintain the maximum power transmission by sensing the heating power due to the change of the resonance frequency. Through the result of the proposed method that can be controlled within the required output change range according to the change of the switching frequency corresponding to the change of the resonance frequency, the induction heater having a variable switching frequency characteristic that can transmit almost constant output power (within 0.43 dB) power efficiency was achieved.