• 제목/요약/키워드: Hierarchical system

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계층적 군집분석방법을 활용한 건물 부하의 전력수요예측 (Load Forecasting using Hierarchical Clustering Method for Building)

  • 황혜미;이성희;박종배;박용기;손성용
    • 전기학회논문지
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    • 제64권1호
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    • pp.41-47
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    • 2015
  • In recent years, energy supply cases to take advantage of EMS(Energy Management System) are increasing according to high interest of energy efficiency. The important factor for essential and economical EMS operation is the supply and demand plan the hourly power demand of building load using the hierarchical clustering method of variety statistical techniques, and use the real historical data of target load. Also the estimated results of study are obtained the reliability through separate tests of validity.

Performability Analysis of Token Ring Networks using Hierarchical Modeling

  • Ro, Cheul-Woo;Park, Artem
    • International Journal of Contents
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    • 제5권4호
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    • pp.88-93
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    • 2009
  • It is important for communication networks to possess the capability to overcome failures and provide survivable services. We address modeling and analysis of performability affected by both performance and availability of system components for a token ring network under failure and repair conditions. Stochastic reward nets (SRN) is an extension of stochastic Petri nets and provides compact modeling facilities for system analysis. In this paper, hierarchical SRN modeling techniques are used to overcome state largeness problem. The upper level model is used to compute availability and the lower level model captures the performance. And Normalized Throughput Loss (NTL) is obtained for the composite ring network for each node failures occurrence as a performability measure. One of the key contributions of this paper constitutes the Petri nets modeling techniques instead of complicate numerical analysis of Markov chains and easy way of performability analysis for a token ring network under SRN reward concepts.

계층 요소 사용에 대한 연구 (A Study on the Use of Hierarchical Elements)

  • 김진환
    • 동력기계공학회지
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    • 제4권1호
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    • pp.68-73
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    • 2000
  • A mixed degree finite element solutions using hierarchical elements are investigated for convergences on a 2-D simple cases. Elements are generated block by block and each block is assigned an arbitrary solution degree. The numerical study showed that a well constructed blocks can increase the convergence and accuracy of finite element solutions. Also, it has been found that for higher order elements, the convergence trends can be deteriorated for smaller mesh sizes. A procedure for a variable fixed boundary condition has been included.

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페트리네트의 계층화를 통한 시퀀스제어계의 설계 (II) - Bottom up에 의한 서브PN의 분할과 합성 - (Design for Sequential Control System Using Petri Nets with Hierarchical Expession(II) - Composition of Sub Petri nets by Bottom up Oriented Method-)

  • 정석권;정영미;유삼상
    • 한국해양공학회:학술대회논문집
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    • 한국해양공학회 2001년도 춘계학술대회 논문집
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    • pp.26-31
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    • 2001
  • Petri nets(PN) have been introduced as a poweful analyzing and design tool for the discrete systems such as sequential control systems. However, one of the important problems in its applications is that the model can not be analyzed easily when we deal with large scale systems because of increase of the number of components of the systems. To overcome this problem, some methods for dividing or reducing of PN have been suggested. In this paper, an approach for hierarchical expression of PN based on Sequential Function Chart(SFC) and Bottom Up oriented Mehodology(BUM) is proposed. Especially, some definition and rules are defined in order to divide and compose sub PN. A measuring tank system will be described as a typical kind of discrete systems and modeled by some sub PN based on the SFC and BUM by the proposed method in this paper.

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계층구조의 분류기에 의한 유도전동기 고장진단 (Fault Diagnosis of Induction Motor by Hierarchical Classifier)

  • 이대종;송창규;이재경;전명근
    • 제어로봇시스템학회논문지
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    • 제13권6호
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    • pp.513-518
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    • 2007
  • In this paper, we propose a fault diagnosis scheme tor induction motor by adopting a hierarchical classifier consisting of k-Nearest Neighbors(k-NN) and Support Vector Machine(SVM). First, some motor conditions are classified by a simple k-NN classifier in advance. And then, more complicated classes are distinguished by SVM. To obtain the normal and fault data, we established an experimental unit with induction motor system and data acquisition module. Feature extraction is performed by Principal Component Analysis(PCA). To show its effectiveness, the proposed fault diagnostic system has been intensively tested with various data acquired under the different electrical and mechanical faults with varying load.

계층적 최적화 기법을 이용한 강의 수질오염 제어 (River Pollution Control Using Hierarchical Optimization Technique)

  • 김경연;감상규
    • 한국환경과학회지
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    • 제4권1호
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    • pp.71-80
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    • 1995
  • 생화학적 산소요구량(BOD) 및 용존 산소(DO)을 이용하여 여러구간이 있는 강에 대한 이산 상태공간모델은 설정하였다. 상호작용 예측방법을 이용하여, 상태변수에 시간지연이 존재하는 대규모 시스템에 적용가능한 계층적 최적화 방법을 기술하였다. 정상상태 오차를 해석적으로 구하고, 상수 목표티 추적문제에 있어서 정상상태 오차가 발생하지 않을 필요충분조겆을 규명하였다. 수질오염 모델에 대한 컴퓨터 모사를 통하여 기술한 알고리듬의 타당성을 확인하였다.

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혼류 조립 공장을 위한 계층적 생산 계획 및 통제 시스템 개발 - 냉장고 공장 사례 (Development of Hierarchical Production Planning and Control System for Mixed-Model Assembly Manufacture-an Application in Refrigerator Factory)

  • 신현준
    • 산업공학
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    • 제19권1호
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    • pp.34-42
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    • 2006
  • This paper presents a scheme for a hierarchical production scheduling and control system for a refrigerator factory with mixed model assembly lines. The setting of the factory is as follows. There are three mixed-model assembly lines called main line A, B and C and two batch lines that supply parts to the main lines. For each of the main lines, three work-centers are dedicated to them. The sub-lines and work-centers produce parts in batch type. An incoming production order from the master planner is characterized by its product type, amount, and due date. Under this situation, the proposed scheme has several features to schedule and control the above mentioned factory; 1) select the starting time and the place (assembly line) for an order processing, 2) devise a way to control orders to be processed as scheduled, and 3) reschedule orders when something unexpected happen. Finally, this paper provides a case study where the proposed scheme is applied to.

Out-Of-Domain Detection Using Hierarchical Dirichlet Process

  • Jeong, Young-Seob
    • 한국컴퓨터정보학회논문지
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    • 제23권1호
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    • pp.17-24
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    • 2018
  • With improvement of speech recognition and natural language processing, dialog systems are recently adapted to various service domains. It became possible to get desirable services by conversation through the dialog system, but it is still necessary to improve separate modules, such as domain detection, intention detection, named entity recognition, and out-of-domain detection, in order to achieve stable service offer. When it misclassifies an in-domain sentence of conversation as out-of-domain, it will result in poor customer satisfaction and finally lost business. As there have been relatively small number of studies related to the out-of-domain detection, in this paper, we introduce a new method using a hierarchical Dirichlet process and demonstrate the effectiveness of it by experimental results on Korean dataset.

A SYN flooding attack detection approach with hierarchical policies based on self-information

  • Sun, Jia-Rong;Huang, Chin-Tser;Hwang, Min-Shiang
    • ETRI Journal
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    • 제44권2호
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    • pp.346-354
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    • 2022
  • The SYN flooding attack is widely used in cyber attacks because it paralyzes the network by causing the system and bandwidth resources to be exhausted. This paper proposed a self-information approach for detecting the SYN flooding attack and provided a detection algorithm with a hierarchical policy on a detection time domain. Compared with other detection methods of entropy measurement, the proposed approach is more efficient in detecting the SYN flooding attack, providing low misjudgment, hierarchical detection policy, and low time complexity. Furthermore, we proposed a detection algorithm with limiting system resources. Thus, the time complexity of our approach is only (log n) with lower time complexity and misjudgment rate than other approaches. Therefore, the approach can detect the denial-of-service/distributed denial-of-service attacks and prevent SYN flooding attacks.

직교성을 이용한 계층적 영상 암호화 (Hierarchical Image Encryption System Using Orthogonal Method)

  • 김남진;서동환;이성근;신창목;조규보;김수중
    • 한국광학회지
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    • 제17권3호
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    • pp.231-239
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    • 2006
  • 본 논문에서는 직교성의 특성을 가진 Walsh code 영상과 무작위 위상 영상을 이용하여 계층적인 영상의 암호화 및 복호화로 영상 정보의 수준에 따른 효율적인 정보보호와, 암호화의 수준을 향상시키는 방법을 제안하였다. 제안한 암호화 과정은 각각의 원 영상과 무작위 위상 영상을 곱한 영상을 푸리에 변환 후, Walsh code 영상과 이진 무작위 위상영상을 곱한 영상에 확산시켜 암호화한다. 복호화 키는 암호화 과정에 사용된 Walsh code 영상을 정보의 수준에 따라 더함으로써 계층적인 복호화 키를 생성한다. 그러므로 하나의 복호화 키로도 정보 보호의 수준에 따라 각 암호화 영상을 복호화할 수 있다. 또한 이진 무작위 위상과 무작위 위상 영상은 암호화 영상을 백색 잡음의 패턴과 유사하여 암호화 수준이 높은 장점을 가진다. 컴퓨터 실험과 고찰을 통하여 암호화의 적합함을 확인하였다.