• 제목/요약/키워드: associative memory

검색결과 155건 처리시간 0.024초

Fault Diagnostic System Based on Fuzzy Time Cognitive Map

  • Lee, Kee-Sang;Kim, Sung-Ho
    • Transactions on Control, Automation and Systems Engineering
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    • 제1권1호
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    • pp.62-68
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    • 1999
  • FCM(Fuzzy Cognitive Map) is proposed for representing causal reasoning. Its structure allows systematic causal reasoning through a forward inference. Authors have already proposed a diagnostic system based on FCM to utilized to identify the true origin of fault by on-line pattern diagnosis. In FCM based fault diagnosis, Temporal Associative Memories (TAM) recall of FCM is utilized to identify the true origin of fault by on-line pattern match where predicted pattern sequences obtained from TAM recall of fault FCM models are compared with actually observed ones. In engineering processes, the propagation delays are induced by the dynamics of processes and may vary with variables involved. However, disregarding such propagation delays in FCM-based fault diagnosis may lead to erroneous diagnostic results. To solve the problem, a concept of FTCM(Fuzzy Time Cognitive Map) is introduced into FCM-based fault diagnosis in this work. Expecially, translation method of FTCM makes it possible to diagnose the fault for some discrete time. Simulation studies through two-tank system is carried out to verify the effectiveness of the proposed diagnostic scheme.

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연합 처리기를 이용한 직교선형 스타이너 트리의 병렬 알고리즘 (A Parallel Algorithm For Rectilinear Steiner Tree Using Associative Processor)

  • Taegeun Park
    • 전자공학회논문지B
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    • 제32B권8호
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    • pp.1057-1063
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    • 1995
  • This paper describes an approach for constucting a Rectilinear Steiner Tree (RST) derivable from a Minimum Spanning Tree (MST), using Associative Processor (AP). We propose a fast parallel algorithm using AP's basic algorithms which can be realized by the processing capability of rudimentary logic and the selective matching capability of Content- Addressable Memory (CAM). The main idea behind the proposed algorithm is to maximize the overlaps between the consecutive edges in MST, thus minimizing the cost of a RST. An efficient parallel linear algorithm with O(n) complexity to construct a RST is proposed using an algorithm to find a MST, where n is the number of nodes. A node insertion method is introduced to allow the Z-type layout. The routing process which only depends on the neighbor edges and the no-rerouting strategy both help to speed up finding a RST.

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퍼지 추론 네트워크를 이용한 절삭 가공 공정의 춤질관리를 위한 공정 분석 시스템 (A process analysis system using Fuzzy reasoning networks for quality control of cutting)

  • 홍준희;대원성부
    • 한국정밀공학회지
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    • 제12권6호
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    • pp.64-71
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    • 1995
  • The objective of this paper is to realize an analysis system that is capable of controlling the quality of an entire cutting process by including a 3 coordinate measuring machine in the process line. Fuzzy reasoning networks based on fuzzy associative memories has been intro- duced in the measuring process, the control limits for the control process have been obtained, and the efficiency and reliability of the system have been determined by examining the simu- lated reasoning control values.

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법용 연합 처리 시스템에서의 전역배선 병렬화 기법 (Parallel algorithm of global routing for general purpose associative processign system)

  • 박태근
    • 전자공학회논문지A
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    • 제32A권4호
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    • pp.93-102
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    • 1995
  • This paper introduces a general purpose Associative Processor(AP) which is very efficient for search-oriented applications. The proposed architecture consists of three main functional blocks: Content-Addressable Memory(CAM) arry, row logic, and control section. The proposed AP is a Single-Instruction, Multiple-Data(SIMD) device based on a CAM core and an array of high speed processors. As an application for the proposed hardware, we present a parallel algorithm to solve a global routing problem in the layout process utilizing the processing capabilities of a rudimentary logic and the selective matching and writing capability of CAMs, along with basic algorithms such a minimum(maximum) search, less(greater) than search and parallel arithmetic. We have focused on the simultaneous minimization of the desity of the channels and the wire length by sedking a less crowded channel with shorter wire distance. We present an efficient mapping technique of the problem into the CAM structure. Experimental results on difficult examples, on randomly generated data, and on benchmark problems from MCNC are included.

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Multifocus Hololens를 이용한 실시간 2차원 Hopfield 신경회로망 모델의 광학적 실험 (Optical Implementation of Real-Time Two-Dimensional Hopfield Neural Network Model Using Multifocus Hololens)

  • 박인호;서춘원;이승현;이우상;김은수;양인응
    • 대한전자공학회논문지
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    • 제26권10호
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    • pp.1576-1583
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    • 1989
  • In this paper, we describe real-time optical implementation of the Hopfield neural network model for two-dimensional associative memory by using commercial LCTV and Multifocus For real-time processing capability, we use LCTV as a memory mask and a input spatial light modulator. Inner product between input pattern and memory matrix is processed by the multifocus holographic lens. The output signal is then electrically thresholded fed back to the system input by 2-D CCD camera. From the good experimental results, the proposed system can be applied to pattern recognition and machine vision in future.

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Cucurbitacin B Suppresses Hyperglycemia Associated with a High Sugar Diet and Promotes Sleep in Drosophila melanogaster

  • Sang, Jiun;Dhakal, Subash;Lee, Youngseok
    • Molecules and Cells
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    • 제44권2호
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    • pp.68-78
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    • 2021
  • Secondary metabolites enable plants to protect themselves from herbivorous insects. Among these, cucurbitacin B (cuc-B) is a bitter-tasting compound with promising pharmacological potential. Dietary exposure to cuc-B lowered the hemolymph glucose levels of Drosophila melanogaster fed with a high carbohydrate diet, which is homologous to high blood glucose in humans, and its effect was comparable to that of metformin, a well-known glucose-lowering drug. Furthermore, cuc-B reduced tissue sugar levels and glycogen levels, as well as triacylglycerol levels. Our results thus highlight the potential applicability of this compound to treat chronic metabolic diseases such as diabetes and obesity. Additionally, we analyzed sleep quality and taste-associative memory enhancement after cuc-B and metformin treatment. Both supplements increased nighttime bout length and metformin increased memory consolidation. Therefore, discarded shell of Cucurbitaceae could be processed into health supplements.

캐쉬 메모리가 버스 트래픽에 끼치는 영향 (The Effects of Cache Memory on the System Bus Traffic)

  • 조용훈;김정선
    • 한국통신학회논문지
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    • 제21권1호
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    • pp.224-240
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    • 1996
  • It is common sense for at least one or more levels of cache memory to be used in these day's computer systems. In this paper, the impact of the internal cache memory organization on the performance of the computer is investigated by using a simulator program, which is wirtten by authors and run on SUN SPARC workstation, with several real execution, with several real execution trace files. 280 cache organizations have been simulated using n-way set associative mapping and LRU(Least Recently Used) replacement algorithm with write allocation policy. As a result, 16-way setassociative cache is the best configuration, and when we select 256KB cache memory and 64 byte line size, the bus traffic ratio was decreased compared to that of the noncache system so that a single bus could support almost 7 processors without any delay and degradationof high ratio(hit ratio was 99.21%). The smaller the line size we choose, the little lower hit ratio we can get, but the more processors can be supported by a single bus(maximum 18 processors). Therefore, using a proper cache memory organization can make a single bus structure be able to support multiple processors without any performance degradation.

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기억의 기능적 신경 해부학 (Functional Neuroanatomy of Memory)

  • 이성훈
    • 수면정신생리
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    • 제4권1호
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    • pp.15-28
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    • 1997
  • Longterm memory is encoded in the neuronal connectivities of the brain. The most successful models of human memory in their operations are models of distributed and self-organized associative memory, which are founded in the principle of simulaneous convergence in network formation. Memory is not perceived as the qualities inherent in physical objects or events, but as a set of relations previously established in a neural net by simultaneousy occuring experiences. When it is easy to find correlations with existing neural networks through analysis of network structures, memory is automatically encoded in cerebral cortex. However, in the emergence of informations which are complicated to classify and correlated with existing networks, and conflictual with other networks, those informations are sent to the subcortex including hippocampus. Memory is stored in the form of templates distributed across several different cortical regions. The hippocampus provides detailed maps for the conjoint binding and calling up of widely distributed informations. Knowledge about the distribution of correlated networks can transform the existing networks into new one. Then, hippocampus consolidats new formed network. Amygdala may enable the emotions to influence the information processing and memory as well as providing the visceral informations to them. Cortico-striatal-pallido-thalamo-cortical loop also play an important role in memory function with analysis of language and concept. In case of difficulty in processing in spite of parallel process of informations, frontal lobe organizes theses complicated informations of network analysis through temporal processing. With understanding of brain mechanism of memory and information processing, the brain mechanism of mental phenomena including psychopathology can be better explained in terms of neurobiology and meuropsychology.

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시간적 가중을 이용한 시계열 연상기억시스템 (Time-sequential Associative Memory System Using Time Axis Weighting)

  • 박철영
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2000년도 추계학술대회 학술발표 논문집
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    • pp.444-447
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    • 2000
  • 본 논문에서는 종래의 정적인 디지털 패턴 매칭을 행하는 연상메모리와는 달리 아놀로그의 시계열정보를 직접 처리하여 시간축 방향으로 설정하는 것으로 강인성이 뛰어난 연상기억시스템을 제안하였다. 시스템의 기본적인 능력을 조사하기 위하여 기억패턴을 주기계열로 그리고 하중은 전부 고정하는 조건으로 단순화하여 시뮬레이션을 행하여 오류 정정능력을 갖는 것을 확인하였다. 시간축 방향의 하중을 적절하게 설정하면 기억용량의 증대나 상기 오류의 저감 등의 효과가 기대된다.

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순환 퍼지연상기억장치를 이용한 음성경계 추출 (Word Boundary Detection of Voice Signal Using Recurrent Fuzzy Associative Memory)

  • 마창수;김계영;최형일
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2003년도 봄 학술발표논문집 Vol.30 No.1 (B)
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    • pp.235-237
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    • 2003
  • 본 논문에서는 음성인식을 위한 전처리 단계로 음성인식의 대상을 찾아내는 음성경계 추출에 대하여 기술한다. 음성경계 추출을 위한 특징 벡터로는 시간 정보인 RMS와 주파수 정보인 MFBE를 사용한다. 사용하는 알고리즘은 학습을 통해 규칙을 생성하는 퍼지연상기억장치에 음성의 시간 정보를 적용하기 위해 순환노드를 추가한 새로운 형태의 순환 퍼지연상기억장치를 제안한다.

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