• Title/Summary/Keyword: Generation Model

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Connected Characteristics for Small Generation Source of Low Voltage Model Grids (저압 모의선로에 소형발전원 연계시 특성)

  • Lee, Sang-Woo;Kang, Jin-Kyu;Lee, Dong-Ha;Park, Tae-Joon
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.27 no.2
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    • pp.45-53
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    • 2013
  • In this paper, we analyze the typical phase voltage and line current waveform characteristics of the distribution system with 3 phase small synchronous generation source in case with load and non-load group, in order to investigate the power quality for end load connected of generation source. As demonstrated by our experimental results, the distortion and power quality of phase voltage and line current waveform were relatively good for low voltage 3 phase model grids connected of 3 phase small synchronous generation source in case with non-load group. However, distortion and power quality of voltage and current waveform was poor for low voltage 3 phase model grids connected to 3 phase small synchronous generation source in the load group with some phase voltage and frequency difference. From the above results, we conclude that the phase voltage and frequency of 3 phase generation source must be identical to that of distribution system source to maximize the power quality. Also, special attention is required in case of having load group or non-load group to 3 phase generation source.

A Study on Speed Improvement of Gate Delay Test Generator for Combinational Circuits (조합회로에 대한 게이트 지연 검사 패턴 생성기의 속도 향상에 관한 연구)

  • 박승용;김규철
    • Proceedings of the IEEK Conference
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    • 1998.10a
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    • pp.723-726
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    • 1998
  • Fault dropping is a very important part of test generation process. It is used to reduce test generation time. Test generation systems use fault simulation for the purpose of fault dropping by identifying detectable faults with generated test patterns. Two kinds of delay fault model is used in practice, path delay fault model and gate delay fault model. In this paper we propose an efficient method for gate delay test generation which shares second test vector.

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Automated Scenario Generation for Model Checking Trampoline Operating System

  • Chowdhury, Nahida Sultana;Choi, Yunja
    • Proceedings of the Korea Information Processing Society Conference
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    • 2011.11a
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    • pp.1342-1345
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    • 2011
  • A valid scenario generation is essential for model checking software. This paper suggests an automated scenario generation technique through the analysis of function called-by graphs and call graphs of the program source code. We provide the verification process including the scenario generation and show application results on the Trampoline operating system using CBMC as a back-end model checker.

Heat Generation Model of Angular Contact Ball Bearing with Oil-Air Lubrication

  • Na, Hee-Hyeong;Rhim, Yoon-Chul
    • KSTLE International Journal
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    • v.1 no.1
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    • pp.63-68
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    • 2000
  • Angular contact ball bearings are mainly used in the spindle, which requires high speed and stiffness. The heat generation is studied by experiments and simulations using a pair of angular contact ball bearings. The temperature variation of inner and outer races and the temperature increment distribution are measured by using thermocouples for the rotational speed, preload, viscosity of lubricant. The measured values from experiments are used to estimate the heat conduction rate. The method of oil-air lubrication is used for the experiment. The amount of conduction heat transfer to the test spindle and the convection heat transfer coefficients long the spindle are computed by using inverse method with temperature increment distribution. Total heat generation rate is estimated with the heat partition rate which is calculated from temperatures of inner and outer races. In addition, the empirical factor of oil-air lubrication method for Palmgren's heat generation model is suggested. The empirical friction coefficients, which are obtained from the experiments, depend on the preload condition, and can give us more accurate estimation of the heat generation in ball bearings.

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Automatic Mesh Generation System for a Novel FEM Modeling Based on Fuzzy Theory (퍼지이론을 이용한 FEM 모델링을 위한 자동 요소분할 시스템)

  • Lee Yang-Chang;Lee Joon-Seong;Choi Yoon-Jong;Kim Nam-Yong
    • Journal of the Korean Institute of Intelligent Systems
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    • v.15 no.3
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    • pp.343-348
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    • 2005
  • This paper describes an automatic finite element (FE) mesh generation for three-dimensional structures consisting of free-form surfaces. This mesh generation process consists of three subprocesses: (a) definition of geometric model, i.e. analysis model, (b) generation of nodes, and (c) generation of elements. One of commercial solid modelers is employed for three-dimensional solid structures. Node is generated if its distance from existing node points is similar to the node spacing function at the point. The node spacing function is well controlled by the fuzzy knowledge processing. The Delaunay method is introduced as a basic tool for element generation. Automatic generation of FE meshes for three-dimensional solid structures holds great benefits for analyses. Practical performances of the present system are demonstrated through several mesh generations for three-dimensional complex geometry.

Solar Power Generation Prediction Algorithm Using the Generalized Additive Model (일반화 가법모형을 이용한 태양광 발전량 예측 알고리즘)

  • Yun, Sang-Hui;Hong, Seok-Hoon;Jeon, Jae-Sung;Lim, Su-Chang;Kim, Jong-Chan;Park, Chul-Young
    • Journal of Korea Multimedia Society
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    • v.25 no.11
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    • pp.1572-1581
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    • 2022
  • Energy conversion to renewable energy is being promoted to solve the recently serious environmental pollution problem. Solar energy is one of the promising natural renewable energy sources. Compared to other energy sources, it is receiving great attention because it has less ecological impact and is sustainable. It is important to predict power generation at a future time in order to maximize the output of solar energy and ensure the stability and variability of power. In this paper, solar power generation data and sensor data were used. Using the PCC(Pearson Correlation Coefficient) analysis method, factors with a large correlation with power generation were derived and applied to the GAM(Generalized Additive Model). And the prediction accuracy of the power generation prediction model was judged. It aims to derive efficient solar power generation in the future and improve power generation performance.

Development of a System Dynamics Model for the Electric Power Generation Mix Forecasting in the Competitive Electricity Market (전원구성비율 예측을 위한 System Dynamics모형 개발)

  • 홍정석;곽상만;나기룡;박문희;최기련
    • Korean System Dynamics Review
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    • v.4 no.1
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    • pp.33-53
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    • 2003
  • How to maintain the optimal electric power generation mix is one of the important problems in electric power industry. The objective of this study is to develop a computer model which can be used to forecast the investment in power generation unit by the plant owners after restructuring of electric power industry. Restructuring of electric power industry will make difference in decision making process of investment in power generation unit. After Privatiazation of Power Industry, Gencos will think that profit is the most important factor among all others attracting the investment in the industry. Coal power generation is better than LNG CCGT in terms of profit. However, many studies show that LNG CCGT will be main electric power generation source because the rest of factors other than profit in LNG CCGT are superior than Coal power generation. Because the nst of factors other than profit in LNG CCGT are superior than Coal power generation. The impacts of the various government policies can be analyzed using the computer model, thus the government can formulate effective policies for achieving the desired electric power generation mix.

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Detection Model Generation System using Learning (학습을 통한 탐지 모델 생성 시스템)

  • 김선영;오창석
    • The Journal of the Korea Contents Association
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    • v.3 no.1
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    • pp.31-38
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    • 2003
  • In this paper, We propose detection mood generation system using learning to generate automatically detection model. It is improved manpower, efficiency in time. Proposed detection model generator system is consisted of agent system and manager system. Model generation can do existing standardization by genetic algorithm because do model generation and apply by new detection model. according to experiment results, detection model generation using learning proposed sees more efficiently than existing intrusion detection system. When intrusion of new type occur by implemented system and decrease of the False-Positive rate, improve performance of existing intrusion detection system.

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A Study on a Forecasting the Demand for the Future Mobile Communication Service by Integrating the Mobile Communication Technology (이동통신기술과의 연관성을 고려한 차세대 이동통신서비스의 수요예측에 관한 연구)

  • 주영진;김선재
    • Journal of the Korean Operations Research and Management Science Society
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    • v.29 no.1
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    • pp.87-99
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    • 2004
  • In this paper, we have developed a technology-service relationship model which describes the diffusion process of a group of services and relevant technologies, and have applied the developed model to the prediction of the number of subscribers to the next generation mobile service. The technology-service relationship model developed in this paper incorporates the developing process of relevant technologies, a supply-side factor, into the diffusion process of specific services, while many diffusion models and multi-generation diffusion models in previous researches are mainly reflect the demand-side factors. So, the proposed model could effectively applied to the telecommunication services where the developing of the relevant technologies are very essential to the service Penetration. In our application, the Proposed model provides a competitive substitution between the next generation mobile service and the traditional mobile service.

A Study on a Generation and Transmission Planning Considering CO2 Emission Constraint and Emission Trading (CO2 배출량 제약과 배출권거래제를 고려한 설비계획 방법론 개발에 관한 연구)

  • Kim, Yang-Il;Chung, Koo-Hyung;Han, Sock-Man;Kim, Bal-Ho
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.56 no.3
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    • pp.481-490
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    • 2007
  • WASP which is used to plan generation expansion has disadvantages that can't manage environmental factors and regional supply-demand planning. But with the effectuation of the United Nations Framework Convention on Climate Change (UNFCCC) and Kyoto Protocol, it is expected that reducing greenhouse gases affects power system in its long-term generation expansion planning. Therefore national countermeasures is needed. This paper formulates a mathematical model considering CO2 emission constraints and Emission Trading that will be enforced. This model is based on the MEFISET (Model for Economic Feasibility of Interstate Electrical Ties) which was made by Korea Energy Economics Institute and Hong-ik university and manages generation expansion planning. And this mathematical model is verified by studying a case system.