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Variable Step Size Maximum Power Point Tracker Using a Single Variable for Stand-alone Battery Storage PV Systems

  • Ahmed, Emad M.;Shoyama, Masahito
    • Journal of Power Electronics
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    • 제11권2호
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    • pp.218-227
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    • 2011
  • The subject of variable step size maximum power point tracking (MPPT) algorithms has been addressed in the literature. However, most of the addressed algorithms tune the variable step size according to two variables: the photovoltaic (PV) array voltage ($V_{PV}$) and the PV array current ($I_{PV}$). Therefore, both the PV array current and voltage have to be measured. Recently, maximum power point trackers that arc based on a single variable ($I_{PV}$ or $V_{PV}$) have received a great deal of attention due to their simplicity and ease of implementation, when compared to other tracking techniques. In this paper, two methods have been proposed to design a variable step size MPPT algorithm using only a single current sensor for stand-alone battery storage PV systems. These methods utilize only the relationship between the PV array measured current and the converter duty cycle (D) to automatically adapt the step change in the duty cycle to reach the maximum power point (MPP) of the PV array. Detailed analyses and flowcharts of the proposed methods are included. Moreover, a comparison has been made between the proposed methods to investigate their performance in the transient and steady states. Finally, experimental results with field programmable gate arrays (FPGAs) are presented to verify the performance of the proposed methods.

Analysis of Indonesian User Behavior Distribution on Facebook Marketplace

  • HAMZAH, Muhammad Luthfi;UTAMA, M Hamdala;PURWATI, Astri Ayu
    • 유통과학연구
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    • 제20권8호
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    • pp.47-57
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    • 2022
  • Purpose: The purpose of this study is to find out whether it has a significant effect or not, the 5 hypotheses proposed include the Attitude toward behavior variable on behavioral intention, Subjective norm on behavioral intention, Perceived behavioral control on behavioral intention, Behavioral intention on behavior and Perceived behavioral control on Behavior. Research design, data and methodology: The data processing method in this study uses the SEM method based on Partial Least Squares (PLS), The study was conducted on 100 respondents as a sample. Results: Based on the results of data analysis, it is concluded that from the 5 hypotheses proposed, only 2 have a significant effect, namely the subjective norm variable has a significant effect, on behavioral intention and the perceived behavioral control variable has a significant effect on behavior while the other 3 hypotheses have no significant effect. The results of this study are expected to help the public to make decisions in utilizing the distribution of facebook marketplace. Conclusion: This study concludes that the distribution of the use of the Facebook marketplace is a subjective norm variable has a positive effect on the behavioral intention variable and the perceived behavioral control variable has a positive effect on the behavior variable.

시장지향성이 부동산거래 성과에 미치는 영향 : 부동산 중개업소 중심으로 (Research on effect that market directivity gets in real estate transaction result)

  • 이상규;김석곤;황화철
    • 산경연구논집
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    • 제1권1호
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    • pp.23-31
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    • 2010
  • 본 연구는 부동산 시장에서 시장지향성의 요인인 시장정보 창출과 시장정보 확산, 시장정보에 대한 반응이 부동산 거래성과에 미치는 영향을 알아보고 이 과정에서 환경적 요인인 시장 격변성과 경쟁강도에 따라 부동산 시장에서 고객의 반응을 연구하여 시장의 범위에 최종 고객은 물론 부동산거래업자 등을 포함시킴으로써 보다 광범위한 마케팅 패러다임을 지향하고자 하였다. 따라서 부동산 유통과정에서 나타나는 시장지향성의 특성을 통해 부동산 거래성과에 미치는 영향에 관한 연구를 목적으로 연구대상을 결정하고 설문을 통한 실증분석을 하였다. 이번 연구 결과로 새로운 고객과의 관계와 부동산 시장에 대한 가능성을 확인하고 보다 적극적인 마케팅 전략을 수립하여 부동산 거래성과를 새로운 방향을 모색하는데 그 목적이 있다.

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ACCOUNTING FOR IMPORTANCE OF VARIABLES IN MUL TI-SENSOR DATA FUSION USING RANDOM FORESTS

  • Park No-Wook;Chi Kwang-Hoon
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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    • pp.283-285
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    • 2005
  • To account for the importance of variable in multi-sensor data fusion, random forests are applied to supervised land-cover classification. The random forests approach is a non-parametric ensemble classifier based on CART-like trees. Its distinguished feature is that the importance of variable can be estimated by randomly permuting the variable of interest in all the out-of-bag samples for each classifier. Supervised classification with a multi-sensor remote sensing data set including optical and polarimetric SAR data was carried out to illustrate the applicability of random forests. From the experimental result, the random forests approach could extract important variables or bands for land-cover discrimination and showed good performance, as compared with other non-parametric data fusion algorithms.

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A Study on the Scoring Method of the Ordinal Variable

  • Chung, Sung-S.;Chun, Young-M.;Oh, Seon-J.
    • Journal of the Korean Data and Information Science Society
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    • 제15권1호
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    • pp.95-105
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    • 2004
  • The main characteristic of the ordinal scale is that its categories have a logically or continuously ordered relationship to each other. A continuous type permits measuring degrees of differences among categories. Also, the specific amount of differences is important. In this paper we consider the scoring method using a dummy variable based on distance among categories.

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가변환경에 적합한 새로운 가변 적응 계수에 관한 연구 (New variable adaptive coefficient algorithm for variable circumstances)

  • 오신범;이채욱
    • 한국산업정보학회논문지
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    • 제4권3호
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    • pp.79-88
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    • 1999
  • 적응 신호처리 분야에서 LMS(Least Mean Square)알고리즘은 그 식의 간편함과 구현의 용이함으로 가장 널리 이용되고 있다. 대부분의 LMS 알고리즘은 수렴비를 조절하는 적응계수를 일정한 값으로 정하는데, 이는 안전성과 속도사이에서 트레이드오프가 존재한다. 이러한 단점을 해결하고 성능을 개선하기 위하여 가변 LMS(VLMS: Variable LMS)가 발표되었다. 그러나 기존에 발표된 알고리즘들은 급격한 환경변화에 적응하지 못하고 발산하는 경우도 있으며 수렴속도에 문제가 있다. 본 논문에서는 기존의 적응계수의 특성을 일부 변형시킴으로서 계산량을 줄이고, 급격한 환경변화에서도 수렴하도록 하는 새로운 알고리즘을 제안하였다. 제안한 적응계수의 성능 확인을 위하여 시스템 식별 및 잡음 제거 시스템에 적용하여 기존의 알고리즘들과 비교하였다.

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Bayesian test of homogenity in small areas: A discretization approach

  • Kim, Min Sup;Nandram, Balgobin;Kim, Dal Ho
    • Journal of the Korean Data and Information Science Society
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    • 제28권6호
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    • pp.1547-1555
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    • 2017
  • This paper studies Bayesian test of homogeneity in contingency tables made by discretizing a continuous variable. Sometimes when we are considering events of interest in small area setup, we can think of discretization approaches about the continuous variable. If we properly discretize the continuous variable, we can find invisible relationships between areas (groups) and a continuous variable of interest. The proper discretization of the continuous variable can support the alternative hypothesis of the homogeneity test in contingency tables even if the null hypothesis was not rejected through k-sample tests involving one-way ANOVA. In other words, the proportions of variables with a particular level can vary from group to group by the discretization. If we discretize the the continuous variable, it can be treated as an analysis of the contingency table. In this case, the chi-squared test is the most commonly employed method. However, further discretization gives rise to more cells in the table. As a result, the count in the cells becomes smaller and the accuracy of the test becomes lower. To prevent this, we can consider the Bayesian approach and apply it to the setup of the homogeneity test.

속도 정보를 기반으로 한 차량 경로 제공 시스템에 대한 연구 (Service Path Guidance System is based on speed Information)

  • 김태민;김진호;이종수
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2007년도 심포지엄 논문집 정보 및 제어부문
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    • pp.361-362
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    • 2007
  • This paper presents the Traffic information system that based on an embedded WinCE board which has GPS and HSDPA. This system is able to overcome the limit of area using the Internet service which other systems can't provide. When the embedded board receives data about the geometric and vehicle speed information, it transmits to the server via HSDPA/the Internet. The server receives and processes it for the path services. And also we present the path guidance algorithm which is based on the speed information. These algorithm responses to the dynamical traffic condition through updating traffic information. Especially, we suggest a Traffic Status Variable in each branch which represents each road's traffic status. This Traffic Status Variable contains speed, road grade; we separate the road three groups as speed limitation; and past speed data - for example, week day rush hour of each road. In addition, the data of cross about left-turn or right-turn can update. Those elements is consisted Traffic Status Variable.

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The Cascade PID Type Fuzzy Control Method

  • Lee, Jung-Hoon;Ki whan Eom;Lee, Yong-Gu
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.93.3-93
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    • 2001
  • We propose the cascade PID type fuzzy control method for a good performance such as robustness. The one of proposed method, the first stage have two input variables of an error and a derivative error, and one output variable, and the next stage have two input variables of the output of first stage and an integral error, and one output variable, have two stages. The other, the first stage has one input of an error, and one output variable, and the second stage have two input of the output of first stage and a derivative error, and one output variable, and the third stage have two input of the output of the second stage and an integer error, and one output variable ...

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The New Variable Step-size Algorithm Adaptive Lattice Structure for Echo Cancellation

  • Benjangkaprasert, Chawalit;Sukhumalwong, Sethawuit;Teerasakworakun, Sirirat;Janchitrapongvej, Kanok
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2003년도 ICCAS
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    • pp.2090-2092
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    • 2003
  • Adaptive algorithms are widely used for various applications. One challenging application is an echo canceller in the long distance telephony network. This paper proposes the new variable step-size algorithm for adaptive lattice structure for echo cancellation. The new algorithm is using power of the output signal and the error signal to controlled the step of adaptation process. By this technique, the proposed algorithm is an excellent and effective in good stability. Performance comparison of the proposed algorithm and the other algorithm is made through simulation results.

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