• Title/Summary/Keyword: discrete system

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Considerations on the use of a Boost PFC Regulator Used in Household Air-conditioning Systems (over 3kW)

  • Jang Ki-Young;Suh Bum-Seok;Kim Tae-Hoon
    • Proceedings of the KIPE Conference
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    • 2002.07a
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    • pp.589-592
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    • 2002
  • The CCM (Continuous Conduction Mode) boost topology is generally used in the PFC (Power Factor Correction) regulator of household air-conditioning systems. There are three kinds of power devices-bridge rectifier diodes, FRDs (Fast Recovery Diodes), and IGBTs (or MOSFETs) - used In a boost PFC regulator. Selecting the appropriate device is very cumbersome work, specially, in the case of FRDs and IGBTs, because there are several considerations as described below: 1) High frequency leakage current regulation (conducted and radiated EMI regulation) 2) Power losses and thermal design 3) Device cost. It should be noted that there are trade-offs between the power loss characteristic of 2) and the other characteristics of 1) and 3). This paper presents a detailed evaluation by using several types of power devices, which can be unintentionally used, to show that optimal selection can be achieved. Based on the given thermal resistances, thermal analysis and design procedures are also described from a practical viewpoint.

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MARKOVIAN EARLY ARRIVAL DISCRETE TIME JACKSON NETWORKS

  • Aboul-Hassan A.;Rabia S.I.
    • Journal of the Korean Statistical Society
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    • v.35 no.3
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    • pp.281-303
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    • 2006
  • In an earlier work, we investigated the problem of using linear programming to bound performance measures in a discrete time Jackson network. There it was assumed that the system evolution is controlled by the early arrival scheme. This assumption implies that the system can't be modelled by a Markov chain. This problem was resolved and performance bounds were calculated. In the present work, we use a modification of the early arrival scheme (without corrupting it) in order to make the system evolves as a Markov chain. This modification enables us to obtain explicit expressions for certain moments that could not be calculated explicitly in the pure early arrival scheme setting. Moreover, this feature implies a reduction in the linear program size as well as the computation time. In addition, we obtained tighter bounds than those appeared before due to the new setting.

Phasor Discrete Particle Swarm Optimization Algorithm to Configure Micro-grids

  • Bae, In-Su;Kim, Jin-O
    • Journal of Electrical Engineering and Technology
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    • v.7 no.1
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    • pp.9-16
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    • 2012
  • The present study presents the Phasor Discrete Particle Swarm Optimization (PDPSO) algorithm, an effective optimization technique, the multi-dimensional vectors of which consist of magnitudes and phase angles. PDPSO is employed in the configuration of micro-grids. Micro-grids are concepts of distribution system that directly unifies customers and distributed generations (DGs). Micro-grids could supply electric power to customers and conduct power transaction via a power market by operating economic dispatch of diverse cost functions through several DGs. If a large number of micro-grids exist in one distribution system, the algorithm needs to adjust the configuration of numerous micro-grids in order to supply electric power with minimum generation cost for all customers under the distribution system.

Modeling of Fuzzy Discrete Event System using Fuzzy Temporal Logic (퍼지 시간논리를 이용한 퍼지 이산사건시스템의 모델링)

  • Kim, Jin-Kwon;Kim, Jung-Chul;Hang, yung-Soo
    • Proceedings of the KIEE Conference
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    • 2003.07d
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    • pp.2292-2294
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    • 2003
  • 본 논문은 crisp discrete event system(CDES)에서 다룰 수 없는 특성을 가지는 의료진단이나 교통제어와 같이 애매하거나 불확실한 판단 그리고 관련성이 모호한 판단의 근거들에 의해 결정되어지는 사건들로 이루어진 fuzzy discrete event system(FDES)의 모델링 방법에 대하여 연구하였다. CDES는 모델링 방법이 많이 연구되어져 왔으나, FDES는 발생되어지는 사건들의 정성적인 특성과 적용되어지는 경우가 드문 이유로 거의 연구되어져 있지 않다. 본 논문에서는 temporal logic에 fuzzy개념을 도입하여 fuzzy DES의 새로운 모델링 방법을 제시하고 의료진단 시스템에 적용하였다.

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A new discrete logarithm problem with public parameter key-size reduction (공개 파라메터 키 크기를 줄인 새로운 이산대수문제)

  • 박영호;오상호;주학수
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.13 no.2
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    • pp.91-98
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    • 2003
  • We introduce a new public key system based on the discrete logarithm Problem(DLP) in a quotient group of finite fields. This system achieves savings not only in communication overhead by reducing public key size and transfer data by half but also in computational costs by performing efficient exponentiation. In particular, this system takes about 50% speed-up, compared to DSA which has the same security.

Analysis of Real-time Error for Geo/D/1/1 Model (Geo/D/1/1 모형에서의 실시간 원격 추정값의 오차 분석)

  • Yutae, Lee
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.27 no.1
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    • pp.135-138
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    • 2023
  • In this paper, we study real-time error in the context of monitoring a binary information source through a delay system. To derive the average real-time error, we model the delay system as a discrete time Geo/D/1/1 queueing model. Using a discrete time three-dimensional Markov chain with finite state space, we analyze the queueing model. We also perform some numerical analysis on various system parameters: state transition probabilities of binary information source; transmission times; and transmission frequencies. When the state changes of the information source are positively correlated and negatively correlated, we investigate the relationship between transmission time and transmission frequency.

Age of Information for Discrete Time Queueing Model (이산 시각 대기 행렬 모형의 정보 신선도)

  • Yutae, Lee
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.27 no.1
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    • pp.131-134
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    • 2023
  • The age of information (AoI) was proposed to quantify the freshness of information about the status of a remote source system, which is defined as the amount of time that has elapsed since a packet was created at its source. This paper analyzes the age of information of a discrete time Geo/D/1/1 status update system. For this purpose, the system is modeled as a discrete-time two-state Markov chain. The stationary probability distributions for peak AoI and AoI are obtained. The average peak AoI, the average AoI, and the freshness ratio of information are also derived. Some numerical results of the analysis are presented.

Design for Sequential Control System Using Petri Nets with Hierarchical Expression(I) - Division of Petri Nets Based on SFC (페트리네트의 계층화를 통한 시퀀스제어계의 설계(I) - SFC에 근거한 페트리네트의 분할)

  • Jeong, Seok-Kwon;Yang, Joo-Ho
    • Journal of Ocean Engineering and Technology
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    • v.13 no.3B
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    • pp.106-115
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    • 1999
  • Modeling a discrete event system such as a sequential control system is difficult compared with a continuous system. Petri nets have been introduced as an analyzing and design tool for the discrete systems. One of the problems in its applications is that the model can not be analyzed easily in the case of large scale or complicated systems because of increase of the number of components of the system. To overcome this problem, some methods for dividing or reducing Petri nets have been suggested. In this paper, an approach for a hierarchical expression of Petri nets based on Sequential Function Chart(SFC) is proposed. A measuring tank system will be described as a typical kind of discrete systems. The system is modeled by sub Petri nets based on SFC in order to analyze and visualize efficiently about the dynamic behaviors of the system. Some numerical simulations using state equations are performed to prove the validity of the proposed method.

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Knowledge Based Recommender System for Disease Diagnostic and Treatment Using Adaptive Fuzzy-Blocks

  • Navin K.;Mukesh Krishnan M. B.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.18 no.2
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    • pp.284-310
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    • 2024
  • Identifying clinical pathways for disease diagnosis and treatment process recommendations are seriously decision-intensive tasks for health care practitioners. It requires them to rely on their expertise and experience to analyze various categories of health parameters from a health record to arrive at a decision in order to provide an accurate diagnosis and treatment recommendations to the end user (patient). Technological adaptation in the area of medical diagnosis using AI is dispensable; using expert systems to assist health care practitioners in decision-making is becoming increasingly popular. Our work architects a novel knowledge-based recommender system model, an expert system that can bring adaptability and transparency in usage, provide in-depth analysis of a patient's medical record, and prescribe diagnostic results and treatment process recommendations to them. The proposed system uses a set of parallel discrete fuzzy rule-based classifier systems, with each of them providing recommended sub-outcomes of discrete medical conditions. A novel knowledge-based combiner unit extracts significant relationships between the sub-outcomes of discrete fuzzy rule-based classifier systems to provide holistic outcomes and solutions for clinical decision support. The work establishes a model to address disease diagnosis and treatment recommendations for primary lung disease issues. In this paper, we provide some samples to demonstrate the usage of the system, and the results from the system show excellent correlation with expert assessments.

PERIODIC SOLUTIONS OF A DISCRETE TIME NON-AUTONOMOUS RATIO-DEPENDENT PREDATOR-PREY SYSTEM WITH CONTROL

  • Zeng, Zhijun
    • Communications of the Korean Mathematical Society
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    • v.22 no.3
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    • pp.465-474
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    • 2007
  • With the help of the coincidence degree and the related continuation theorem, we explore the existence of at least two periodic solutions of a discrete time non-autonomous ratio-dependent predator-prey system with control. Some easily verifiable sufficient criteria are established for the existence of at least two positive periodic solutions.