• 제목/요약/키워드: Huang's model

검색결과 152건 처리시간 0.02초

변형기체포장에 의한 어묵의 저장성 향상 및 유통기한 연장 (Improved Preservation and Shelf-life Extension of Fish Cake by Modified Atmosphere Packaging)

  • 박수연;안덕순;강준수;이동선
    • 한국포장학회지
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    • 제23권2호
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    • pp.75-81
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    • 2017
  • 반찬이나 간식으로 이용되는 소비성이 높은 튀김어묵에 대해서 진공, 60% $N_2/40%$ $CO_2$, 100% $N_2$ 및 100% $CO_2$의 변형기체포장조건을 사용하여 저장성 향상과 유통기한 연장을 얻을 수 있는 가능성을 검토하였다. $5^{\circ}C$, $10^{\circ}C$, $15^{\circ}C$의 온도 조건에서 저장하면서 품질변화를 측정한 결과 주요 품질열화요소로서 호기성 세균 증식임이 인지되었다. 호기성 세균수 성장을 Huang의 수학적 모델을 통하여 표현하고, 포장 및 저장온도조건에 따른 모델 parameter를 구하였고, 이를 사용하여 한계 미생물 수준에 도달하는 기간으로서 포장 및 온도 조건에 따른 저장유통기한을 설정하여 제시하였다. Arrhenius 방정식으로 표현된 미생물 성장의 온도의존성에서는 유도기의 역수에 대해서 활성화 에너지 139.4 kJ/mol, 성장속도에 대한 활성화 에너지는 41.8 kJ/mol로 얻어졌다. 변형기체포장의 효과에서, $10^{\circ}C$에서 100% 이산화탄소 포장이 호기성 세균 증식을 효과적으로 억제하여 함기포장에 비하여 약 2배의 유통기한을 확보하여 저장성을 향상시킬 수 있었다. 고이산화탄소 상태에서 저온의 온도 조건을 활용하여 저장유통기한을 연장할 수 있을 것으로 확인되었다.

Service Scheduling in Cloud Computing based on Queuing Game Model

  • Lin, Fuhong;Zhou, Xianwei;Huang, Daochao;Song, Wei;Han, Dongsheng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제8권5호
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    • pp.1554-1566
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    • 2014
  • Cloud Computing allows application providers seamlessly scaling their services and enables users scaling their usage according to their needs. In this paper, using queuing game model, we present service scheduling schemes which are used in software as a service (SaaS). The object is maximizing the Cloud Computing platform's (CCP's) payoff via controlling the service requests whether to join or balk, and controlling the value of CCP's admission fee. Firstly, we treat the CCP as one virtual machine (VM) and analyze the optimal queue length with a fixed admission fee distribution. If the position number of a new service request is bigger than the optimal queue length, it balks. Otherwise, it joins in. Under this scheme, the CCP's payoff can be maximized. Secondly, we extend this achievement to the multiple VMs situation. A big difference between single VM and multiple VMs is that the latter one needs to decide which VM the service requests turn to for service. We use a corresponding algorithm solve it. Simulation results demonstrate the good performance of our schemes.

Wind-induced random vibration of saddle membrane structures: Theoretical and experimental study

  • Rongjie Pan;Changjiang Liu;Dong Li;Yuanjun Sun;Weibin Huang;Ziye Chen
    • Wind and Structures
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    • 제36권2호
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    • pp.133-147
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    • 2023
  • The random vibration of saddle membrane structures under wind load is studied theoretically and experimentally. First, the nonlinear random vibration differential equations of saddle membrane structures under wind loads are established based on von Karman's large deflection theory, thin shell theory and potential flow theory. The probabilistic density function (PDF) and its corresponding statistical parameters of the displacement response of membrane structure are obtained by using the diffusion process theory and the Fokker Planck Kolmogorov equation method (FPK) to solve the equation. Furthermore, a wind tunnel test is carried out to obtain the displacement time history data of the test model under wind load, and the statistical characteristics of the displacement time history of the prototype model are obtained by similarity theory and probability statistics method. Finally, the rationality of the theoretical model is verified by comparing the experimental model with the theoretical model. The results show that the theoretical model agrees with the experimental model, and the random vibration response can be effectively reduced by increasing the initial pretension force and the rise-span ratio within a certain range. The research methods can provide a theoretical reference for the random vibration of the membrane structure, and also be the foundation of structural reliability of membrane structure based on wind-induced response.

PREDICTING CORPORATE FINANCIAL CRISIS USING SOM-BASED NEUROFUZZY MODEL

  • Jieh-Haur Chen;Shang-I Lin;Jacob Chen;Pei-Fen Huang
    • 국제학술발표논문집
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    • The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
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    • pp.382-388
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    • 2011
  • Being aware of the risk in advance necessitates intricate processes but is feasible. Although previous studies have demonstrated high accuracy, their performance still leaves room for improvement. A self-organizing feature map (SOM) based neurofuzzy model is developed in this study to provide another alternative for forecasting corporate financial distress. The model is designed to yield high prediction accuracy, as well as reference rules for evaluating corporate financial status. As a database, the study collects all financial reports from listed construction companies during the latest decade, resulting in over 1000 effective samples. The proportion of "failed" and "non-failed" companies is approximately 1:2. Each financial report is comprised of 25 ratios which are set as the input variable s. The proposed model integrates the concepts of pattern classification, fuzzy modeling and SOM-based optimization to predict corporate financial distress. The results exhibit a high accuracy rate at 85.1%. This model outperforms previous tools. A total of 97 rules are extracted from the proposed model which can be also used as reference for construction practitioners. Users may easily identify their corporate financial status by using these rules.

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외부 음향과 구조의 연동 현상 고려한 근사 모델 (Approximation Models for Structure-External Acoustic Interaction)

  • 이문석;박윤식;박영진;박광춘
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2007년도 춘계학술대회논문집
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    • pp.1191-1195
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    • 2007
  • Many approximate models for interaction between a flexible structure and an infinite external acoustic medium have been developed for a long time. Among them, Doubly Asymptotic Approximations (DAAs) are very well known approximations. But, it has shortcomings in intermediate frequency range and can't fully describe the acoustic medium. So, this paper presents the modified approximation by applying the retarded and advanced potentials to Kirchhoff's formula. It describes the external acoustic medium more in detail and shows a good result in early time transient responses when it was applied to a spherical shell. Through a spherical shell interacting with external acoustic medium, the transient responses for the proposed model is compared to Huang's exact solution and DAA2.

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Who Wants Checks and Balances? Endogeneity of the Balancing Perspective

  • Yu, Eric Chen-Hua;Huang, Chi;Hsiao, Yi-Ching
    • Asian Journal for Public Opinion Research
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    • 제2권3호
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    • pp.196-227
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    • 2015
  • The premise of the intentional model of split-ticket voting is that some voters split their tickets simply because they prefer divided government and believe in constant "checks and balances." This article examines whether this premise stands firm in an emerging democracy like Taiwan. That is, by using survey data in Taiwan, we explore whether one's attitude toward divided or unified government is "real." We hypothesize that a citizen's attitude toward "checks and balances" is subject to change, and conditional on whether her preferred party is in power. Specifically, we speculate that a citizen would tend to hold the balancing perspective or favor divided government, if her preferred party is in opposition. However, if her preferred party becomes the ruling party, she would be more likely to oppose (hold) the balancing (non-balancing) perspective or favor unified government. We then utilize panel survey data embedded in Taiwan's Election and Democratization Studies (TEDS) to verify our hypothesis.

The first application of modified neutron source multiplication method in subcriticality monitoring based on Monte Carlo

  • Wang, Wencong;Liu, Caixue;Huang, Liyuan
    • Nuclear Engineering and Technology
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    • 제52권3호
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    • pp.477-484
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    • 2020
  • The control rod drive mechanism needs to be debugged after reactor fresh fuel loading. It is of great importance to monitor the subcriticality of this process accurately. A modified method was applied to the subcriticality monitoring process, in which only a single control rod cluster was fully withdrawn from the core. In order to correct the error in the results obtained by Neutron Source Multiplication Method, which is based on one point reactor model, Monte Carlo neutron transport code was employed to calculate the fission neutron distribution, the iterated fission probability and the neutron flux in the neutron detector. This article analyzed the effect of a coarse mesh and a fine mesh to tally fission neutron distributions, the iterated fission probability distributions and to calculate correction factors. The subcriticality before and after modification is compared with the subcriticality calculated by MCNP code. The modified results turn out to be closer to calculation. It's feasible to implement the modified NSM method in large local reactivity addition process using Monte Carlo code based on 3D model.

State-space formulation for simultaneous identification of both damage and input force from response sensitivity

  • Lu, Z.R.;Huang, M.;Liu, J.K.
    • Smart Structures and Systems
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    • 제8권2호
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    • pp.157-172
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    • 2011
  • A new method for both local damage(s) identification and input excitation force identification of beam structures is presented using the dynamic response sensitivity-based finite element model updating method. The state-space approach is used to calculate both the structural dynamic responses and the responses sensitivities with respect to structural physical parameters such as elemental flexural rigidity and with respect to the force parameters as well. The sensitivities of displacement and acceleration responses with respect to structural physical parameters are calculated in time domain and compared to those by using Newmark method in the forward analysis. In the inverse analysis, both the input excitation force and the local damage are identified from only several acceleration measurements. Local damages and the input excitation force are identified in a gradient-based model updating method based on dynamic response sensitivity. Both computation simulations and the laboratory work illustrate the effectiveness and robustness of the proposed method.

The Determinants and their Time-Varying Spillovers on Liquefied Natural Gas Import Prices in China Based on TVP-FAVAR Model

  • Ying Huang;Yusheng Jiao
    • Journal of Information Processing Systems
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    • 제20권1호
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    • pp.93-104
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    • 2024
  • China is playing more predominant role in the liquefied natural gas (LNG) market worldwide and LNG import price is subject to various factors both at home and abroad. Nevertheless, previous studies rarely heed a multiple of factors. A time-varying parameter factor augmented vector auto-regression (TVP-FAVAR) model is adopted to discover the determinants of China's LNG import price and their dynamic impacts from January 2012 to December 2021. According to the findings, market fundamentals have a greater impact on the import price of natural gas in China than overall economic demand, financial considerations, and world oil prices. The primary determinants include domestic gas consumption, consumer confidence and other demand-side information. Then, there are diverse and time-varying spillover effects of the four common determinants on the volatility of China's LNG import price at different intervals and time nodes. The price volatility is more sensitive and long-lasting to domestic natural gas pricing reform than other negative shocks such as the Sino-US trade war and the COVID-19 pandemic. The results in this study further proves the importance of domestic natural gas market liberalization. China ought to do more to support the further marketization of natural gas prices while working harder to guarantee natural gas supplies.

Large eddy simulation of wind loads on a long-span spatial lattice roof

  • Li, Chao;Li, Q.S.;Huang, S.H.;Fu, J.Y.;Xiao, Y.Q.
    • Wind and Structures
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    • 제13권1호
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    • pp.57-82
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    • 2010
  • The 486m-long roof of Shenzhen Citizens Centre is one of the world's longest spatial lattice roof structures. A comprehensive numerical study of wind effects on the long-span structure is presented in this paper. The discretizing and synthesizing of random flow generation technique (DSRFG) recently proposed by two of the authors (Huang and Li 2008) was adopted to produce a spatially correlated turbulent inflow field for the simulation study. The distributions and characteristics of wind loads on the roof were numerically evaluated by Computational Fluid Dynamics (CFD) methods, in which Large Eddy Simulation (LES) and Reynolds Averaged Navier-Stokes Equations (RANS) Model were employed. The main objective of this study is to explore a useful approach for estimations of wind effects on complex curved roof by CFD techniques. In parallel with the numerical investigation, simultaneous pressure measurements on the entire roof were made in a boundary layer wind tunnel to determine mean, fluctuating and peak pressure coefficient distributions, and spectra, spatial correlation coefficients and probability characteristics of pressure fluctuations. Numerical results were then compared with these experimentally determined data for validating the numerical methods. The comparative study demonstrated that the LES integrated with the DSRFG technique could provide satisfactory prediction of wind effects on the long-span roof with complex shape, especially on separation zones along leading eaves where the worst negative wind-induced pressures commonly occur. The recommended LES and inflow turbulence generation technique as well as associated numerical treatments are useful for structural engineers to assess wind effects on a long-span roof at its design stage.