• Title/Summary/Keyword: multi-valued

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Design of a High Speed and Low Power CMOS Demultiplexer Using Redundant Multi-Valued Logic (Redundant Multi-Valued Logic을 이용한 고속 및 저전력 CMOS Demultiplexer 설계)

  • Kim, Tae-Sang;Kim, Jeong-Beom
    • Proceedings of the KIEE Conference
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    • 2005.05a
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    • pp.148-151
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    • 2005
  • This paper proposes a high speed interface using redundant multi-valued logic for high speed communication ICs. This circuit is composed of encoding circuit that serial binary data are received and converted into parallel redundant multi-valued data, and decoding circuit that convert redundant multi-valued data to parallel binary data. Because of the multi-valued data conversion, this circuit makes it possible to achieve higher operating speeds than that of a conventional binary logic. Using this logic, a 1:4 demultiplexer (DEMUX, serial-parallel converter) IC was designed using a 0.35${\mu}m$ standard CMOS Process. Proposed demultiplexer is achieved an operating speed of 3Gb/s with a supply voltage of 3.3V and with power consumption of 48mW. Designed circuit is limited by maximum operating frequency of process. Therefore, this circuit is to achieve CMOS communication ICs with an operating speed greater than 3Gb/s in submicron process of high of operating frequency.

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CONVERGENCE THEOREMS FOR A HYBRID PAIR OF SINGLE-VALUED AND MULTI-VALUED NONEXPANSIVE MAPPING IN CAT(0) SPACES

  • Naknimit, Akkasriworn;Anantachai, Padcharoen;Ho Geun, Hyun
    • Nonlinear Functional Analysis and Applications
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    • v.27 no.4
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    • pp.731-742
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    • 2022
  • In this paper, we present a new mixed type iterative process for approximating the common fixed points of single-valued nonexpansive mapping and multi-valued nonexpansive mapping in a CAT(0) space. We demonstrate strong and weak convergence theorems for the new iterative process in CAT(0) spaces, as well as numerical results to support our theorem.

Multi-Valued Decision Making for Transitional Stochastic Event: Determination of Sleep Stages Through EEG Record

  • Nakamura, Masatoshi;Sugi, Takenao
    • Transactions on Control, Automation and Systems Engineering
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    • v.4 no.3
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    • pp.239-243
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    • 2002
  • Multi-valued decision making for transitional stochastic events was newly derived based on conditional probability of knowledge database which included experts'knowledge and experience. The proposed multi-valued decision making was successfully adopted to the determination of the five levels of the vigilance of a subject during the EEG (electroencephalogram) recording; awake stage (stage W), and sleep stages (stage REM (rapid eye movement), stage 1, stage 2, stage $\sfrac{3}{4}$). Innovative feature of the proposed method is that the algorithm of decision making can be constructed only by use of the knowledge database, inspected by experts. The proposed multi-valued decision making with a mathematical background of the probability can also be applicable widely, in industries and in other medical fields for purposes of the multi-valued decision making.

Design of a 20 Gb/s CMOS Demultiplexer Using Redundant Multi-Valued Logic (중복 다치논리를 이용한 20 Gb/s CMOS 디멀티플렉서 설계)

  • Kim, Jeong-Beom
    • The KIPS Transactions:PartA
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    • v.15A no.3
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    • pp.135-140
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    • 2008
  • This paper describes a high-speed CMOS demultiplexer using redundant multi-valued logic (RMVL). The proposed circuit receives serial binary data and is converted to parallel redundant multi-valued data using RMVL. The converted data are reconverted to parallel binary data. By the redundant multi-valued data conversion, the RMVL makes it possible to achieve higher operating speeds than that of a conventional binary logic. The implemented demultiplexer consists of eight integrators. Each integrator is composed of an accumulator, a window comparator, a decoder and a D flip flop. The demultiplexer is designed with TSMC $0.18{\mu}m$ standard CMOS process. The validity and effectiveness are verified through the HSPICE simulation. The demultiplexer is achieved the maximum data rate of 20 Gb/s and the average power consumption of 95.85 mW.

Particle Swarm Optimizations to Solve Multi-Valued Discrete Problems (다수의 값을 갖는 이산적 문제에 적용되는 Particle Swarm Optimization)

  • Yim, Dong-Soon
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.36 no.3
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    • pp.63-70
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    • 2013
  • Many real world optimization problems are discrete and multi-valued. Meta heuristics including Genetic Algorithm and Particle Swarm Optimization have been effectively used to solve these multi-valued optimization problems. However, extensive comparative study on the performance of these algorithms is still required. In this study, performance of these algorithms is evaluated with multi-modal and multi-dimensional test functions. From the experimental results, it is shown that Discrete Particle Swarm Optimization (DPSO) provides better and more reliable solutions among the considered algorithms. Also, additional experiments shows that solution quality of DPSO is not lowered significantly when bit size representing a solution increases. It means that bit representation of multi-valued discrete numbers provides reliable solutions instead of becoming barrier to performance of DPSO.

COMMON FIXED POINTS FOR A COUNTABLE FAMILY OF NON-SELF MULTI-VALUED MAPPINGS ON METRICALLY CONVEX SPACES

  • Piao, Yong-Jie
    • Journal of the Chungcheong Mathematical Society
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    • v.25 no.4
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    • pp.617-631
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    • 2012
  • In this paper, we will consider some existence theorems of common fixed points for a countable family of non-self multi-valued mappings defined on a closed subset of a complete metrically convex space, and give more generalized common fixed point theorems for a countable family of single-valued mappings. The main results in this paper generalize and improve many common fixed point theorems for single valued or multi-valued mappings with contractive type conditions.

Multi-person Multi-attribute Decision Making Problems Based on Interval-valued Intuitionistic Fuzzy Information

  • Park, Jin-Han;Kwun, Young-Chel;Son, Mi-Jung
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.10 no.4
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    • pp.287-295
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    • 2010
  • Based on the interval-valued intuitionistic fuzzy hybrid geometric (IIFHG) operator and the interval-valued intuitionistic fuzzy weighted geometric (IIFWG) operator, we investigate the group decision making problems in which all the information provided by the decision-makers is presented as interval-valued in tuitionistic fuzzy decision matrices where each of the elements is characterized by interval-valued intuitionistic fuzzy numbers, and the information about attribute weights is partially known. Anumerical example is used to illustrate the applicability of the proposed approach.