• Title/Summary/Keyword: 에너지 함수 최적화

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Optimization of Array Configuration in Time Reversal Processing (시역전 처리에서 센서 배열 최적화에 관한 연구)

  • Joo, Jae-Hoon;Kim, Jea-Soo;Ji, Yoon-Hee;Chung, Jae-Hak;Kim, Duk-Yung
    • The Journal of the Acoustical Society of Korea
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    • v.29 no.7
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    • pp.411-421
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    • 2010
  • A time-reversal mirror (TRM) is useful in diverse areas, such as reverberation ing, target echo enhancement and underwater communication. In underwater communication, the bit error rate has been improved significantly due to the increased signal-to-noise ratio by spatio-temporal focusing. This paper deals with two issues. First, the optimal number of array elements for a given environment was investigated based on the exploitation of spatial diversity. Second, an algorithm was developed to determine the optimal location of the given number of array elements. The formulation is based on a genetic algorithm maximizing the contrast between the foci and area of interest as an objective function. In addition, the developed algorithm was applied to the matched field processing with ocean experimental data for verification. The sea-going data and simulation showed almost 3 dB improvement in the output power at the foci when the array elements were optimally distributed.

Ag nanocrystal growth energy calculation

  • Jo, Min-Seung;Gang, Seong-U;Kim, U-Yeon
    • Proceeding of EDISON Challenge
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    • 2015.03a
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    • pp.156-162
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    • 2015
  • 나노입자의 특성과 기능은 bulk 물질과 달리, 나노 입자를 이루는 원소의 종류 뿐만아니라 크기와 모양에도 밀접한 연관이 있다. 이를 계산화학적으로 예측할 수 있다면 나노입자의 합성과 응용에 큰 도움이 될 것이다. 본 연구에서는 일정한 크기의 은 나노입자의 구조를 계산한 뒤, 바깥쪽의 두 원자 층을 무작위로 섞은 뒤 다시 구조최적화 계산을 거쳐 다양한 나노입자들의 구조를 찾았다. 이렇게 구해진 구조들의 에너지를 계산하고 원자를 하나 떼어낼 때의 에너지를 계산하여 응집 에너지를 구해 경향성을 분석해 보았다. 더 나아가, 나노입자를 이루는 각 원자 층의 개수가 하나 더 커질 때 필요한 에너지를 계산하여, 원자 하나당 평균을 내어 분석해보았다. 본 연구에서는 병렬화 된 밀도범함수이론 계산 프로그램을 이용해 100개가 넘는 입자의 계산이 가능하다는 것을 확인했고, 은 나노입자의 크기가 증가함에 따라 원자 하나가 추가되는 경우와, 원자 층 하나가 추가되는 경우의 그래프를 보고 경향성을 분석하였다. 이는 다른 화학적 환경에 있는 은 원자의 에너지를 계산하여 각각의 환경에서의 은 나노 입자의 크기를 예측하는 계산하는 데 초석이 될 것이다.

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An Analysis on Shadow Price, Substitutability, and Productivity Growth Effect of Non-Priced Renewable Energy in the Korean Manufacturing Industries (국내 제조업에 대한 비가격 신재생에너지의 암묵가격, 대체가능성, 생산성 파급효과 분석)

  • Lee, Myunghun
    • Environmental and Resource Economics Review
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    • v.24 no.4
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    • pp.727-745
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    • 2015
  • This paper analyzes the firms' optimization behavior in response to rising demand for non-priced renewable energy in the manufacturing industries by using an input distance function. The annual estimates of the shadow price of renewable energy is derived and the trend of its shadow price over time is analyzed. The degree of substitution of renewable energy for fossil-fuels is examined. The input-based Malmquist productivity index, defined as a composite of the technical efficiency and technical change measures, is measured. The contribution of renewable energy input growth to the Malmquist index is analyzed. Empirical results indicate that the shadow price of renewable energy declined at an average annual rate of 17% over the period 1992-2012. Substitutability between renewable energy and fossil-fuels was limited. On average, a 1% increase in renewable energy would decrease Malmquist index by 0.04% per year.

Process Optimization of Red Pepper Drying for the Improvement of Drying Efficiency (건조효율 향상을 위한 고추건조공정의 최적화)

  • Chung, Sun-Kyung;Keum, Dong-Hyuk;Lee, Dong-Sun
    • Korean Journal of Food Science and Technology
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    • v.24 no.5
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    • pp.428-439
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    • 1992
  • Drying process in a fixed bed red pepper dryer was modeled and simulated. Drying efficiency describing the effectiveness of energy usage in red pepper drying was defined as a ratio of energy used for moisture evaporation to total energy consumption, and expressed in combination of measurable temperature variables. The efficiency was compared with real evaporative efficiency and tested in the simulated and experimental drying. An overall drying efficiency was derived, and analyzed for various control variables consisting of drying temperature, air recycle ratio and air flow rate. Optimal operation conditions of drying was then searched by Box's complex method by using it as an objective function. Carotenoids retention was simulated and put as a constraint of product quality in the optimization. The optimization results gave that two staged drying operation could improve the ding efficiency compared with single staged drying. As a technique for further energy saving automatic termination of drying appeared feasible by monitoring an exit air temperature from dryer.

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The Optimal Operation Pattern and Heat Pricing Scheme for District Heating CHP System (지역난방용 열병합발전시스템의 최적운전패턴과 적정 열요금구조)

  • 권영한;김창수;진병문;김진오
    • Journal of Energy Engineering
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    • v.5 no.2
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    • pp.183-192
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    • 1996
  • This paper presents a numerical model of the optimal operation pattern of the CHP system built for duel-purpose of power generation and district heat production. The model can be differently formulated in accordance with the view of planner: society, electric utility or district-heating company. Here, the operation pattern of the system components and the effect of heat price are of major interest in the study. From the case study, it was found that the optimal use of auxiliary heating equipment is very important to achieve the minimum societal cost. And, the multi-step heat pricing scheme is desirable to induce the voluntary behavior of both companies towards the societal optimal pattern.

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Global Convergence of Neural Networks for Optimization (최적화문제를 위한 신경회로망의 Global Convergence)

  • 강민제
    • Journal of the Korean Institute of Intelligent Systems
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    • v.11 no.4
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    • pp.325-330
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    • 2001
  • It has been realized that the results of circuit level simulation of neural networks, used for optimization problems, arc much different from those of algorism level simulation. In other words, the outputs converges asymptotically as time elapes, however, the input convergence depends on the value of parasitic conductance connected between input node and ground. Also, this conductance affects system performance. This paper discusses the influence of input conductance on the convergece of the continuous Hopfield neural networks. The convergence has been analyzed for the input and output nodes of neurons. Also, the characteristics of equilibrium points has been analyzed depending on different values of the input conductance.

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Pogo Suppressor Design of a Space Launch Vehicle using Multiple-Objective Optimization Approach (다목적함수 최적화 기법을 이용한 우주발사체의 포고억제기 설계)

  • Yoon, NamKyung;Yoo, JeongUk;Park, KookJin;Shin, SangJoon
    • Journal of the Korean Society of Propulsion Engineers
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    • v.25 no.1
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    • pp.1-11
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    • 2021
  • POGO is a dynamic axial instability phenomenon that occurs in liquid-propelled rockets. As the natural frequencies of the fuselage and those of the propellant supply system become closer, the entire system will become unstable. To predict POGO, the propellant (oxidant and fuel) tank in the first stage is modeled as a shell element, and the remaining components, the engine and the upper part, are modeled as mass-spring, and structural analysis is performed. The transmission line model is used to predict the pressure and flow perturbation of the propellant supply system. In this paper, the closed-loop transfer function is constructed by integrating the fuselage structure and fluid modeling as described above. The pogo suppressor consists of a branch pipe and an accumulator that absorbs pressure fluctuations in a passive manner and is located in the middle of the propellant supply system. The design parameters for its design optimization to suppress the decay phenomenon are set as the diameter, length of the branch pipe, and accumulator. Multiple-objective function optimization is performed by setting the energy minimization of the closed loop transfer function in terms of to the mass of the pogo suppressor and that of the propellant as the objective function.

A Routing Algorithm Minimizing the Maximum used Power for Mobile Ad-hoc Networks (이동 애드혹 네트워크에서 단말의 최대 소모 에너지를 최적화라는 라우팅 방안)

  • Yu, Nam-Kyu;Kim, Kwang-Ryoul;Min, Sung-Gi
    • Journal of KIISE:Information Networking
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    • v.35 no.2
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    • pp.158-165
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    • 2008
  • In this paper, we present a MMPR (Minimizing the Maximum Used Power Routing) Algorithm in a MANET (Mobile ad hoc network) by modifying the route selection algorithm in well-known routing MANET protocol. In the previous route selection algorithms, the metric for cost function is the minimal hop which does not consider the energy status. MMPR uses the metric with used energy The node that want to know the route for some destination begins calculating the route cost function with alpha which is the maximum used energy in the known route. If the new route that contains the node whose used energy is greater than previous known alpha is known to the node that want to send a packet in some moment, the probability of selecting the new route is lower. Experimental results with MMPR show higher performance in both the maximum used energy and the number of dead nodes than that of the CMMBCR (Conditional Max-Min Battery Routing).

Shape Design Optimization of Electrode for Maximal Dielectrophoresis Forces (최대 유전영동력을 위한 전극의 형상 최적설계)

  • Jeong, Hong-Yeon;Cho, Seonho
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.32 no.4
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    • pp.223-231
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    • 2019
  • A continuum-based design sensitivity analysis(DSA) method is developed for electrostatic problems. To consider high order objective functions, we use 9-node finite element basis functions for analysis and DSA methods. As the design variables are parameterized with B-spline functions, smooth boundary variations are naturally obtained. To solve mesh entanglement problems during the optimization process, a mesh regularization scheme is employed. By minimizing the Dirichlet energy functional, mesh uniformity can be automatically achieved. In numerical examples for maximizing dielectrophoresis forces, the numerical results are compared with well-known electrode geometries and the obtained characteristics are discussed.

A Study on the Optimum Thickness Distributions of Plate Structures with Different Essential Boundary Conditions (경계조건에 따른 판 구조물의 최적두께분포에 대한 연구)

  • Lee, Sang-Jin;Kim, Ha-Ryong
    • Journal of Korean Association for Spatial Structures
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    • v.5 no.4 s.18
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    • pp.53-59
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    • 2005
  • This paper provides the results of the investigation on the optimum thickness distribution of plate structures with different essential boundary conditions. In this study, the strain energy to be minimized is considered as the objective function and the initial volume of structures is used as the constraint function. The computer-aided geometric design (CAGD) such as Coon's patch representation is used to represent the thickness distribution of plates. A reliable degenerated shell finite element is adopted to calculate the accurate strain energy level of the plates. Robust optimization algorithms provided in the optimizer DOT are adopted to search the optimum thickness values during the optimization iteration. Finally, the square plate is used to find out the optimum thickness distribution of plates according to different essential boundary condition.

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