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The Output Ripple Current of Single-Stage Flyback Converter with High Power Factor in LED Driver

  • Park, In-Ki;Eom, Hyun-Chul
    • Proceedings of the KIPE Conference
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    • 2013.07a
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    • pp.347-349
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    • 2013
  • This paper describes analysis and calculation of line frequency ripple current according to output capacitor value and effects of LED connection in the single stage flyback converter with high power factor. The low frequency output ripple current delivered from single stage converter has been analyzed in detail and the method evaluating parasitic resistance included in LED has been provided. In order to verify the equation derived in this paper, the single stage flyback converter has been designed with constant output current regulation with DCM operation. Experiments were conducted with different LED load structures to analyze the effect of LED parasitic resistance on output ripple current. As test results, the calculation can provide guide line to select capacitor values depending on output ripple current and LED characteristics.

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A Study on the computation of currents in the three-level PWM inverter (3-레벨 PWM 인버터 전류산정에 관한 연구)

  • 김광섭;서범석;현동석
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.45 no.3
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    • pp.341-351
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    • 1996
  • The values for the average and rms currents in a three-level PWM inverter are required in order to select the various components such as power semiconductor devices, capacitors and reactors of inverter circuit. And those are very useful for the designing of the heat sink. In this paper, therefore, the simple current equations are proposed for a three-level PWM inverter. Analysis of inverter current waveforms indicate that the average and rms inverter currents are dependent on the load power factor and PWM modulation index (Ma). Error analysis and experiment results verify the effectiveness of the proposed current equations. (author). refs., figs., tabs.

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Development of Optimal Substation Expansion Planning Method using ANP (ANP에 의한 최적 변전소 신.증설계획법의 개발)

  • Kim, Yong-ha;Lee, Buhm;Choi, Sang-kyu
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.51 no.8
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    • pp.385-390
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    • 2002
  • This paper presents a substation expansion planning method with quantitative analysis using ANP. To calculate the reliability factor and economy factor of the system, reliability indices and total construction cost is used. With these factors, new ANP model which select the best plan either economy or reliability among various alternatives is developed. This model can assist the decision making for the system planner. The usefulness of the method is verified by applying it to the large-scaled distribution system.

Creep Lifetime Prediction of Composite Geogrids using Stepped Isothermal Method

  • Koo, Hyun-Jin;Cho, Hang-Won
    • Proceedings of the Korean Reliability Society Conference
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    • 2006.05a
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    • pp.158-164
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    • 2006
  • The creep behavior of newly developed composite geogrids which consists of PET yarns sheathed in PP were evaluated using SIM. For the SIM procedure, three test parameters, the applied loads, temperature steps and number of ribs were investigated, The study confirmed that temperature steps of 10 and 14$^{\circ}C$ up to 80$^{\circ}C$ are applicable for composite geogrids due to the different transition temperatures between two materials. At applied loads of 40 and 50%, only primary creep state was measured, while secondary creep state appeared at the applied loads of 60%, The lifetimes of composite geogrids were estimated at each of loading level using statistical reliability analysis technique. The results show that the lifetimes longer than 100 years can be predicted within 16 hours. Therefore, SIM is very effective and economical accelerated creep test methods, especially for lifetime prediction. This gives guidelines for users to select the appropriate factor of safety against creep considering the field condition within shorter test times.

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Bayesian Changepoints Detection for the Power Law Process with Binary Segmentation Procedures

  • Kim Hyunsoo;Kim Seong W.;Jang Hakjin
    • Communications for Statistical Applications and Methods
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    • v.12 no.2
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    • pp.483-496
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    • 2005
  • We consider the power law process which is assumed to have multiple changepoints. We propose a binary segmentation procedure for locating all existing changepoints. We select one model between the no-changepoints model and the single changepoint model by the Bayes factor. We repeat this procedure until no more changepoints are found. Then we carry out a multiple test based on the Bayes factor through the intrinsic priors of Berger and Pericchi (1996) to investigate the system behaviour of failure times. We demonstrate our procedure with a real dataset and some simulated datasets.

Enhancement of Research Findings with Importance Performance Analysis (IPA를 통한 연구성과 활용성 강화방안 연구)

  • Yoo, Jung-Hyun
    • Land and Housing Review
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    • v.8 no.3
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    • pp.103-111
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    • 2017
  • This study is aimed to identify the LHI policies in the research process that reflect the diversity of job positions and workplace using a statistical method such as IPA. To collect the sample data questionnaire survey was carried out in 400 staffs in LH including researchers to investigate dissemination of research results and improve factor regard with research. The dissemination of research results is positioned as a important key factor for the determination of research institute policy. From this reason, satisfaction survey was performed for defining the procedure of research system and the dissemination of research findings. The answers give stimulate participation for investigational activity and share some perceptions with research vision a dominant position. Futhermore, select the research theme which is a important association with pending issues at the planning phase is to reinforce the availability of research findings. Lastly, promote research findings intensively is cause availability of research results to increase also.

INFLUENCE FACTOR-BASED RISK ASSESSMENT METHODOLOGY FOR CONSTRUCITON

  • Hyunsoo Kim;Hyunsoo Lee;Moonseo Park;Kwang-pyo Lee
    • International conference on construction engineering and project management
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    • 2009.05a
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    • pp.1231-1236
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    • 2009
  • Many work-related risk factors can cause construction site hazards. Therefore, safety management begins with measuring the magnitude of risk involved in a project. This study proposes a methodology for risk assessment of major trades at a particular construction site. To assess risk, this methodology integrates hazard severity and frequency, and their magnitude is calculated based on actual work-site hazards. This methodology also considers the influence factors that affect the frequency of work-related hazards. To select the appropriate influence factors, a two step approach is deployed. First, the predominant factors are identified through a literature review. Second, a selective process filters out the influence factors that are difficult to analyze quantitatively, and these extracted factors are weighted using expert surveys. Finally, the factors are combined and a quantitative risk assessment methodology is proposed.

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A Methodology of Open BIM-based Quantity take-off for Schematic Estimation of the Frame Work in Early Design Stage

  • Hansaem Kim;Jungsik Choi;Inhan Kim
    • International conference on construction engineering and project management
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    • 2013.01a
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    • pp.419-425
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    • 2013
  • Recently AEC industry has required construction automation according to becoming large and complex. Thus BIM-based construction project is increased and used in whole fields of AEC industry. Quantity take-off and estimation fields are important factor for decision-making in conceptual and schematic design stages of construction projects. The purpose of this study improves reliability of the estimation through QTO based on Open BIM. Scope and method to apply QTO is to select conceptual design stage through LoD(Level of Detail) in AEC field and to extract information from BIM model through analysis of IFC structure. This study proceeds three step to make BIM model and check the model quality and calculate QTO. The methodology of QTO using IFC is to verify of result in this study and expects utilizing in design stage of construction projects. The result from this study is expected to decrease the risk factor and time of estimation in the project early phase through improving reliability of schematic estimation.

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Cyclotron Resonance of the Wannier-Landau Transition System Based on the Ensemble Projection Technique

  • Jung-Il Park
    • Journal of the Korean Magnetic Resonance Society
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    • v.27 no.4
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    • pp.28-34
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    • 2023
  • We study the linear-nonlinear quantum transport theory of Wannier-Landau transition system in the confinement of electrons by a square well confinement potential. We use the projected Liouville equation method with the ensemble density projection technique. We select the dynamic value under a linearly oscillatory external field. We derive the dynamic value formula and the memory factor functions in three electron phonon coupling systems and electron impurity coupling systems of two transition types, the intra-band transitions and inter-band transitions. We obtain results that can be applied directly to numerical analyses. For simple example of application, we analyze the absorption power and line-widths of ZnO, through the numerical calculation of the theoretical result in the Landau system.

Training Sample and Feature Selection Methods for Pseudo Sample Neural Networks (의사 샘플 신경망에서 학습 샘플 및 특징 선택 기법)

  • Heo, Gyeongyong;Park, Choong-Shik;Lee, Chang-Woo
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.4
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    • pp.19-26
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    • 2013
  • Pseudo sample neural network (PSNN) is a variant of traditional neural network using pseudo samples to mitigate the local-optima-convergence problem when the size of training samples is small. PSNN can take advantage of the smoothed solution space through the use of pseudo samples. PSNN has a focus on the quantity problem in training, whereas, methods stressing the quality of training samples is presented in this paper to improve further the performance of PSNN. It is evident that typical samples and highly correlated features help in training. In this paper, therefore, kernel density estimation is used to select typical samples and correlation factor is introduced to select features, which can improve the performance of PSNN. Debris flow data set is used to demonstrate the usefulness of the proposed methods.