Systolic Vlsi Array for Multi-Variable Fuzzy Control Systems

Manzoul, Mahmoud A.; Tayal, S.

doi:10.1080/01969729008902222

Cited by 24 publications

(10 citation statements)

References 5 publications

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“…Usually, such a data base comprises a set of rules that are formulated in consultation with human experts who make decisions (Zadeh 1988, Manzoul and Tayal 1990, Manzoul 1990. In this research work, the KB is created with a set of 18 rules and each rule makes an appeal to crucial program properties, such as temporal and spatial locality (Stone 1990, Smith, 1987.…”

Section: The Fuzzy Replacement Algorithmmentioning

confidence: 99%

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Fuzzy Replacement Algorithm for Cache Memory

Hossain

Marudarajan

Manzoul

1991

Cybernetics and Systems

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This paper reports a replacement procedure for cache memories. The procedure is essentially a fuzzy algorithm that makes use of 18 rules to select the cache block to be replaced. These rules are primarily a function of three parameters: age and the frequency of usage of a cache block, and the global hit ratio of the cache system. Computationally, the proposed algorithm calculates a replacement index for each cache block and the block with highest replacement index is selected as a victim. The performance of this fuzzy procedure is compared with traditional replacement algorithms such as least recently used (LRU) and first in first out (FIFO). Our simulation experiments indicate that the proposed algorithm is a strong contender to the traditional counterparts. The unique feature of the proposed algorithm is its flexibility; that is, one can always improve its performance further by fine-tuning the rules.

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Section: The Fuzzy Replacement Algorithmmentioning

confidence: 99%

“…The current trends in VLSI as well as fuzzy hardware architectures (Manzoul and Tayal 1990) strongly suggest a new dimension for further explorations.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Replacement Algorithm for Cache Memory

Hossain

Marudarajan

Manzoul

1991

Cybernetics and Systems

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“…(2), is computed on-line or in real-time. To speed up this computation, a systolic VLSI array is designed (Manzoul and Tayal, 1990).…”

Section: Fuzzy Logic Systolic Arraymentioning

confidence: 99%

“…Togai and Watanabe (1986) proposed a fuzzy logic VLSI chip that stores and executes, in parallel, 16 rules. By using algorithmoriented architecture, Manzoul and Tayal (1990) designed a systolic VLSI array for fuzzy control system.…”

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confidence: 99%

Faults in Fuzzy Logic Systolic Arrays

Manzoul

1990

Cybernetics and Systems

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Systolic VLSI arrays have been proposed for fast fuzzy inference processes in control systems. Due to their complexity. VLSl circuits sometimes fail and the result is an erroneous output. In this paper, faults in fuzzy logic systolic arrays are considered. It will be shown that a single fault in the array may complement the fuzzy output. Faults in the fuzzy logic systolic array can be tolerated by either hardware redundancy or time redundancy. The recomputing with shifted operands (RESO) method, time redundancy, and the triple modular redundancy (TMR) method, hardware redundancy, are applied to fuzzy logic systolic array.

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“…Manzoul and Tayal in [14], and Jaramillo-Botero and Miyake in [15] proposed the implementation of high speed fuzzy controllers using multiprocessor based parallel computing architectures. Multiple processors entail for costly solution of the system.…”

Section: Introductionmentioning

confidence: 99%

Development of an Fpga Based Smart Diagnostic System for Spirometric Data Processing Applications

Chowdhury

Chakrabarti²,

Saha

2008

International Journal on Smart Sensing and Intelligent Systems

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Abstract-The paper describes the development of an FPGA based fuzzy processing system for pulmonary spirometry applications predicting the approaching obstructive or restrictive pulmonary disorder of the patient before criticality actually occurs. The system employs a smart agent that accepts the Peak Expiratory Flow Rate (PEFR), Forced Expiratory Volume in 1 second (FEV1) and Forced Vital Capacity (FVC) data of patients. In order to speed up the computation process, hybrid parallel data processing architectures with dynamic scheduling mechanism have been employed leading to a speed up of approximately 12 times. The processor implemented on the FPGA can perform fuzzy inferencing at a speed of approximately 5.0 MFLIPS. The whole system is realized on Altera Cyclone EP1K6Q240C8 FPGA chip requiring 5,865 logic blocks. The system has been designed to be inexpensive, portable and user friendly for occupational health care applications in developing countries.Using the system, approaching pulmonary disorder of patients has been predicted with an accuracy of 95.83%.

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Systolic Vlsi Array for Multi-Variable Fuzzy Control Systems

Cited by 24 publications

References 5 publications

Fuzzy Replacement Algorithm for Cache Memory

Fuzzy Replacement Algorithm for Cache Memory

Faults in Fuzzy Logic Systolic Arrays

Development of an Fpga Based Smart Diagnostic System for Spirometric Data Processing Applications

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