• Journal of the Korean Institute of Telematics and Electronics
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• v.25 no.2
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• pp.204-210
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• 1988

The residue number system offers the possibility of high-speed operation and error detection/correction because of the separability of arithmetic operations on each digit. A compact residue arithmetic module named the self-checking pulse-train residue arithmetic circuit is effectively employed as the basic module, and an efficient error detection/correction algorithm in which error detection is performed in each basic module and error correction is performed based on the parallelism of residue arithmetic is also employed. In this case, the error correcting circuit is imposed in series to non-redundant system. This design method has an advantage of compact hardware. Following the proposed method, a 2nd-order recursive fault-tolerant digital filter is practically implemented, and its fault-tolerant ability is proved by noise injection testing.

• 전자공학회논문지 IE
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• v.44 no.3
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• pp.12-22
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• 2007

In this paper, we designed of the high speed digital neuron processor in order to digital neural networks. we designed of the MAC(Multiplier and Accumulator) operation unit used residue number system without carry propagation for the high speed operation. and we implemented sigmoid active function which make it difficult to design neuron processor. The Designed circuits are descripted by VHDL and synthesized by Compass tools. we designed of MAC operation unit and sigmoid processing unit are proved that it could run time 19.6 nsec on the simulation and decreased to hardware size about 50%, each order. Designed digital neuron processor can be implementation in parallel distributed processing system with desired real time processing, In this paper.

• The Journal of Information Technology
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• v.4 no.4
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• pp.51-63
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• 2001

Residue Number System has carry free operation and parallelism each modulus, So it is used for special purpose processor such as Digital Signal Processing and Neuron Processor. Magnitude comparison and sign detection are in need of Mixed Radix Conversion, and these operations are impediment to improve the operation speed. So in this Paper, MRC(Mixed Radix Converter) is designed using modified partitioned residue to speed up the operation of MRC, so it has progressed maximum twice operation time but increased the size of converter comparison to other converter.

• Proceedings of the KIEE Conference
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• 1987.07b
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• pp.1185-1187
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• 1987

Digital systems are increasingly being used in the ranges of many control engineering. The residue number system offers the possibility of high speed operation and error correction. The compact self-checking pulse-train residue arithmetic circuit is proposed. A fault tolerant digital filter is practically implemented using these proposed circuits.

• Proceedings of the IEEK Conference
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• 2002.07a
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• pp.662-665
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• 2002

This paper describes a novel converter to implement high-speed binary-to-residue conversion for moduli 2$^{n}$ - 1, 2$^{n}$ , 2$^{n}$ +2$^{\alpha}$/($\alpha$$\in$｛0,1,…,n-1｝) without using look-up table. In our implementation, the high-speed converter can be achieved, because of the modulo addition time is independent of the word length of operands by using the Signed-Digit (SD) adders inside the modulo adders. For a LSI implementation of residue SD number system with ordinary binary system, the proposed binary-to-residue converter is the efficient circuit.cient circuit.

• Journal of the Korea Society of Computer and Information
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• v.4 no.2
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• pp.27-38
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• 1999

This paper proposes a high speed digital neuron processor which uses the residue number system, making the high speed operation possible without carry propagation,. Consisting of the MAC(Multiplier and with Accumulator) operation unit, quotient operation unit and sigmoid function operation unit, the neuron processor is designed through 0.8$\mu$m CMOS fabrication. The result shows that the new implemented neuron processor can run at the speed of 19.2 nSec and the size can be reduced to 1/2 compared to the neuron processor implemented by the real number operation unit.

• The Journal of Information Technology
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• v.5 no.4
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• pp.145-154
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• 2002

The Extension of Base is a fundamental Method to expend the moduli in RNS(Residue Number System). RNS has the benefit of parallelism and no carry propagation at each moduli, but division , extension of base and etc. is the problem of RNS in case of the operation speed.Generally this method is applied to system using Mixed Radix Conversion. it appears to decrease the size of Arithmetic Unit, but increasing the time of operation. So in this paper, the Improved Extension of Base is proposed using Chinese Remainder Theorem. it has the comparative small size and Improved speed.

• The Journal of Information Technology
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• v.6 no.4
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• pp.11-23
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• 2003

We proposes that Design of the Digital Neuron Processor and Development of the Algorithm for the real time object recognition in the making Automatic system which uses the residue number system making the high speed operation possible without carry propagation, in this paper. Consisting of MAC(Multiplication and Accumulation) operator unit using Residue number system and sigmoid function operator unit using Mixed Residue Conversion is designed. The Designed circuits are descripted by C language and VHDL and synthesized by Compass tools. Finally, the designed processor is fabricated in 0.8${\mu}m$ CMOS process. Result of simulations shows that critical path delay time is about 19nsec and operation speed is 0.6nsec and the size can be reduced to 1/2 times co pared to the neural networks implemented by the real number operation unit. The proposed design the digital neuron processor can be implemented of the object recognition in the making Automatic system with desired real time processing.

• Journal of the Korean Institute of Telematics and Electronics
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• v.22 no.5
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• pp.62-68
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• 1985

Recently, because of its pecularity, the Residue Number System has been considerable interest in spacial purpose signal processing. In this paper, a realization of digital filter based on residue properties were considered. To get the residue code directly from the analog input, a direct analog to residue conversion scheme were proposed. Finally error analysis is discussed and scaling error model is established.

• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.2
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• pp.224-229
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• 2005

Generally, genetic algorithm (GA) has too much time and space complexity when it is running in the typical processor. Therefore, we are forced to use the high-performance and expensive processor by this reason. It also works as a barrier to implement real device, such a small mobile robot, which is required only simple rules. To solve this problem, this paper presents and proposes enhanced processor-architecture for the faster GA processing. A typical processor architecture can be enhanced and specialized by two approaches: one is a sorting network, the other is a residue number system (RNS). A sorting network can improve the time complexity of which needs to compare the populations' fitness. An RNS can reduce the magnitude of the largest bit that dictates the speed of arithmetic operation. Consequently, it can make the total logic size smaller and innovate arithmetic operation speed faster.