• Title/Summary/Keyword: energy estimates

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Evaluation of Patterns and Binding Forces of Tablets in Dissolution Processes

  • Kim, Jung-Woo
    • Journal of Pharmaceutical Investigation
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    • v.15 no.2
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    • pp.45-52
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    • 1985
  • For the model tablets using mannitol and Avicel PH 101 as excipients, the patterns of disintegration and dissolution from the differences of physical properties were investigated. It was found that the patterns in the dissolution and binding forces in the interaction of materials by estimates of solid-solid or liquid surface free energy due to cohesive or adhesive properties of materials, and solid surface free energy in binding forces of tablet should be considered as an important factor in dissolution processes.

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Sensor Validation for an Air Handling Unit (공조 시스템의 센서 고장 검증 기술)

  • Lee, Won-Yong;Shin, Dong-Ryul
    • Proceedings of the KIEE Conference
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    • 1999.07b
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    • pp.612-614
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    • 1999
  • In order to improve the operational reliability, it is necessary to validate the measured sensor data, isolate any failed sensor and recover the failed critical measurement. This paper describes the use of estimating equation to identify failed sensors and to recover the feedback signal for control purpose when the sensor measurement is determined to be erroneous Simulation results show that the proposed sensor validation scheme can adequately identify the failed sensor and provide reasonable estimates for control purposes.

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Bayesian Statistical Modeling of System Energy Saving Effectiveness for MAC Protocols of Wireless Sensor Networks: The Case of Non-Informative Prior Knowledge

  • Kim, Myong-Hee;Park, Man-Gon
    • Journal of Korea Multimedia Society
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    • v.13 no.6
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    • pp.890-900
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    • 2010
  • The Bayesian networks methods provide an efficient tool for performing information fusion and decision making under conditions of uncertainty. This paper proposes Bayes estimators for the system effectiveness in energy saving of the wireless sensor networks by use of the Bayesian method under the non-informative prior knowledge about means of active and sleep times based on time frames of sensor nodes in a wireless sensor network. And then, we conduct a case study on some Bayesian estimation models for the system energy saving effectiveness of a wireless sensor network, and evaluate and compare the performance of proposed Bayesian estimates of the system effectiveness in energy saving of the wireless sensor network. In the case study, we have recognized that the proposed Bayesian system energy saving effectiveness estimators are excellent to adapt in evaluation of energy efficiency using non-informative prior knowledge from previous experience with robustness according to given values of parameters.

Development of In vitro Technique for Bioavailable Corn Energy Value

  • Kim, I.B.
    • Asian-Australasian Journal of Animal Sciences
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    • v.14 no.11
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    • pp.1645-1646
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    • 2001
  • The objective of this study was to develop an in vitro digestion technique to estimate bioavailable energy values of different corn hybrids in swine and poultry. A total of 21 samples were investigated; 18 normal corn (NC) and 3 high-oil corn (HOC) hybrids. One step-two enzymes digestion system was introduced to develop the in vitro technique. The gross energy (GE) values of NC hybrids were correlated with the in vitro disappearing energy values (IVE; r=0.85, p<0.01), the in vitro energy digestibilities (IVED; r=0.70, p<0.01), and the in vitro DM digestibilities (IVDM; r=0.55, p<0.05). It appears, however, that IVE values of NC and HOC hybrids were not significantly different according to the one step-two enzyme digestion system. Results of in vivo and in vitro estimates suggested that there was no significant correlation between them in poultry. The IVE value was regressed linearly with ME and DE values in swine with low regression coefficient (34 and 41%, respectively).

Different Coefficients and Exponents for Metabolic Body Weight in a Model to Estimate Individual Feed Intake for Growing-finishing Pigs

  • Lee, S.A.;Kong, C.;Adeola, O.;Kim, B.G.
    • Asian-Australasian Journal of Animal Sciences
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    • v.29 no.12
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    • pp.1756-1760
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    • 2016
  • Estimation of feed intake (FI) for individual animals within a pen is needed in situations where more than one animal share a feeder during feeding trials. A partitioning method (PM) was previously published as a model to estimate the individual FI (IFI). Briefly, the IFI of a pig within the pen was calculated by partitioning IFI into IFI for maintenance ($IFI_m$) and IFI for growth. In the PM, $IFI_m$ is determined based on the metabolic body weight (BW), which is calculated using the coefficient of 106 and exponent of 0.75. Two simulation studies were conducted to test the hypothesis that the use of different coefficients and exponents for metabolic BW to calculate $IFI_m$ improves the accuracy of the estimates of IFI for pigs, and that PM is applied to pigs fed in group-housing systems. The accuracy of prediction represented by difference between actual and estimated IFI was compared using PM, ratio (RM), or averaging method (AM). In simulation studies 1 and 2, the PM estimated IFI better than the AM and RM during most of the periods (p<0.05). The use of 0.60 as the exponent and the coefficient of 197 to calculate metabolic BW did not improve the accuracy of the IFI estimates in both simulation studies 1 and 2. The results imply that the use of $197kcal{\times}kg\;BW^{0.60}$ as metabolizable energy for maintenance in PM does not improve the accuracy of IFI estimations compared with the use of $106kcal{\times}kg\;BW^{0.75}$ and that the PM estimates the IFI of pigs with greater accuracy compared with the averaging or ratio methods in group-housing systems.

The Effect of Energy-Saving Investment on Reduction of Greenhouse Gas Emissions (에너지절약투자의 온실가스 배출 감소 효과)

  • Kim, Hyeon;Jeong, Kyeong-Soo
    • Environmental and Resource Economics Review
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    • v.9 no.5
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    • pp.925-945
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    • 2000
  • This paper analyses the impact of energy-saving investment on Greenhouse gas emissions using a model of energy demand in Korea. SUR method was employed to estimate the demand equation. The econometric estimates provide information about the energy price divisia index, sector income, and energy saving-investment elasticities of energy demand. Except for energy price divisia, the elasticities of each variable are statistically significant. Also, the price and substitution elasticities of each energy price are similar to the results reported by the previous studies. The energy-saving investment is statistically significant and elasticities of each sector is inelastic. Using the coefficient of energy-saving investment and carbon transmission coefficient, the amount of reduction of energy demand and the reduction of carbon emissions can be estimated. The simulation is performed with the scenario that the energy-saving investment increase by 10~50%, keeping up with Equipment Investment Plan of 30% increase in energy-saving investment by 2000. The results show that the reduction of energy demand measured as 11.2% based upon 1995's level of the energy demand, in industrial sector. Accordingly, the carbon emissions will be reduced by 11.3% based upon 1995's level of the carbon emissions in industrial sector.

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Adaptive Analysis and Error Estimation in Meshless Method (무요소 방법에서의 적응적 해석을 위한 오차의 평가)

  • 정흥진
    • Computational Structural Engineering
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    • v.11 no.1
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    • pp.261-274
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    • 1998
  • In this paper, local and global error estimates for the element-free Galerkin (EFG) method are proposed. The essence of proposed error estimates is to use the difference between the values of the projected stress and these given directly by the EFG solution. The stress projection can be obtained simply by taking product of shape function based on a different domain of influence with the stresses at nodes. In this study, it was found that the effectivity index is optimized if the domain of influence in stress projection procedure is the smallest that retains regularity of the matrices in EFG. Numerical tests are shown for various 1D and 2D examples illustrating the good effectiveness of the proposed error estimator in the global energy norm and in the local error estimates.

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Thermal Diffusivity Measurement of Backfilling Materials for Horizontal Ground Heat Exchanger Using Dual-Probe Method (이중탐침법을 이용한 수평형 지중열교환기 뒤채움재의 열확산계수 측정)

  • Sohn, Byong-Hu;Choi, Hang-Seok
    • Journal of the Korean Society for Geothermal and Hydrothermal Energy
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    • v.7 no.2
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    • pp.51-59
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    • 2011
  • Storage and transfer heat in soils are governed by the soil thermal properties and these properties are therefore needed in many engineering applications, including horizontal ground heat exchanger for ground-coupled heat pumps. This paper presents the measured results of the thermal diffusivity of soils(silica, quartzite, limestone, sandstone, and masonry soils) used for the trench backfilling materials of the horizontal ground heat exchanger. To assess this thermal property, we (i) measure the soil thermal conductivities and volumetric heat capacities using dual-probe method and (ii) compare the estimates from the de Vries method of summing the heat capacities of the soil constituents. The results show that the thermal diffusivity tends to increase as dry soil begins to wet, but it approaches a constant value or even decreases as the soil continues to wet. Measurements made by using the dual-probe method agreed well with independent estimates obtained using the single-probe method.

Prediction of Concrete Compressive Strength by a Modified Rate Constant Model (수정 반응률 상수 모델에 의한 콘크리트 압축강도의 예측)

  • 한상훈;김진근;문영호
    • Journal of the Korea Concrete Institute
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    • v.12 no.2
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    • pp.31-42
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    • 2000
  • This paper discusses the validity of models predicting the compressive strength of concrete subjected to various temperature histories and the shortcomings of existing rate constant model and apparent activation energy concept. Based on the discussion, a modified rate constant model is proposed. The modified rate constant model, in which apparent activation energy is a nonlinear function of curing temperature and age, accurately estimates the development of the experimental compressive strengths by a few researchers. Also, the apparent activation energy of concrete cured with high temperature decreases rapidly with age, but that of concrete cured with low temperature decreases gradually with age. Finally generalized models to predict apparent activation energy and compressive strength are proposed, which are based on the regression results.