• Title/Summary/Keyword: information expression

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Outage Analysis and Optimization for Four-Phase Two-Way Transmission with Energy Harvesting Relay

  • Du, Guanyao;Xiong, Ke;Zhang, Yu;Qiu, Zhengding
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.10
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    • pp.3321-3341
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    • 2014
  • This paper investigates the outage performance and optimization for the four-phase two-way transmission network with an energy harvesting (EH) relay. To enable the simultaneous information processing and energy harvesting at the relay, we firstly propose a power splitting-based two-way relaying protocol (PSTWR). Then, we discuss its outage performance theoretically and derive an explicit expression for the system outage probability. In order to find the optimal system configuration parameters such as the optimal power splitting ratio and the optimal transmit power redistribution factor, we formulate an outage-minimized optimization problem. As the problem is difficult to solve, we design a genetic algorithm (GA) based algorithm for it. Besides, we also investigate the effects of the power splitting ratio, the power redistribution factor at the relay, and the source to relay distance on the system outage performance. Finally, extensive simulation results are provided to demonstrate the accuracy of the analytical results and the effectiveness of the GA-based algorithm. Moreover, it is also shown that, the relay position greatly affects the system performance, where relatively worse outage performance is achieved when the EH relay is placed in the middle of the two sources.

Bayesian Network Model for Human Fatigue Recognition (피로 인식을 위한 베이지안 네트워크 모델)

  • Lee Young-sik;Park Ho-sik;Bae Cheol-soo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.9C
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    • pp.887-898
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    • 2005
  • In this paper, we introduce a probabilistic model based on Bayesian networks BNs) for recognizing human fatigue. First of all, we measured face feature information such as eyelid movement, gaze, head movement, and facial expression by IR illumination. But, an individual face feature information does not provide enough information to determine human fatigue. Therefore in this paper, a Bayesian network model was constructed to fuse as many as possible fatigue cause parameters and face feature information for probabilistic inferring human fatigue. The MSBNX simulation result ending a 0.95 BN fatigue index threshold. As a result of the experiment, when comparisons are inferred BN fatigue index and the TOVA response time, there is a mutual correlation and from this information we can conclude that this method is very effective at recognizing a human fatigue.

A Study of a Biological Information Processing for DNA Microarray Expression Data (DNA Microarray 발현정보에 대한 생물학적 정보처리에 관한 연구)

  • Jo, Yeong-Im;Jeong, Hyeon-Cheol
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2007.11a
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    • pp.149-152
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    • 2007
  • 본 논문은 바이오 인포메틱스의 분야를 간단히 소개하고 기능유전체학에서 microarray 실험에 대한 통계적 방법론을 살펴보고자 한다. 또한 DNA chip 설계와 생물학적 특정에 대해 살펴보고 각 분야에서 적용되는 통계적 방법을 연구분석 해보고자 한다.

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Analysis of Scattering Characteristics by the Double Impedence Wedge (두 개의 임피던스 ?지에 의한 산란 특성 해석)

  • 서용원;장정민이민수이상설
    • Proceedings of the IEEK Conference
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    • 1998.10a
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    • pp.363-366
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    • 1998
  • High frequency scattered fields by a double impedence wedge are computed. In the procedure of the computation, arbitrary impedence faces and wedge angles are considered. The diffraction coefficients for the single, double and triple diffraction mechanism are founded. The second-order and third-order diffracted fields are approximated via the extended spectral ray method and the modified Pauli-Clemmow method of the steepest descent. The maliuzhinets function which is very difficult to obtain accurate value is approximated by the Volakis's asymtotic expression. Numerical computations are performed for the various wedge angles and surface impedence values.

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Normal Mixture Model with General Linear Regressive Restriction: Applied to Microarray Gene Clustering

  • Kim, Seung-Gu
    • Communications for Statistical Applications and Methods
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    • v.14 no.1
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    • pp.205-213
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    • 2007
  • In this paper, the normal mixture model subjected to general linear restriction for component-means based on linear regression is proposed, and its fitting method by EM algorithm and Lagrange multiplier is provided. This model is applied to gene clustering of microarray expression data, which demonstrates it has very good performances for real data set. This model also allows to obtain the clusters that an analyst wants to find out in the fashion that the hypothesis for component-means is represented by the design matrices and the linear restriction matrices.

INTUITIONISTIC FUZZY AUTOMATA AND INTUITIONISTIC FUZZY REGULAR EXPRESSIONS

  • Choubey, Alka;K M, Rayi
    • Journal of applied mathematics & informatics
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    • v.27 no.1_2
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    • pp.409-417
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    • 2009
  • A definition of finite automaton (DFA and NDFA) with intuitionistic fuzzy (final) states is proposed. Acceptance of intuitionistic fuzzy regular language by the finite automaton (DFA and NDFA) with intuitionistic fuzzy (final) states are examined. It is found that the finite automaton (DFA and NDFA) with intuitionistic fuzzy (final) states is more suitable for recognizing intuitionistic fuzzy regular language than earlier model. The paper also gives an idea of intuitionistic fuzzy regular expressions through possible definitions.

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Time Expression Analysis For Reminder Applications Using Speech Recognition (음성인식 기반 리마인더를 위한 시간 표현 분석 기법)

  • Park, Jaeseong;Lee, Sangwon;Jang, Jaena;Kang, Sangwoo
    • 한국어정보학회:학술대회논문집
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    • 2017.10a
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    • pp.264-266
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    • 2017
  • 본 연구는 리마인더 앱을 위한 효과적인 시간 표현 분석 방법을 제안한다. 시간 표현 분석을 위한 정규식 패턴을 이용하여 사용자 발화 텍스트로부터 시간 정보를 분석하고 시간 표현 유형에 따라 절대적 시간 정보로 변환한다. 제안한 방법은 정규식 패턴을 이용한 시간 표현 분석 기법으로 시스템의 유지 관리가 용이하고 정보량이 많은 패턴과의 매칭을 위해 효과적이다.

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Analysis of Data Spectral Regrowth from Nonlinear Amplification

  • Amoroso, Frank;Monzingo, Robert A.
    • Journal of Communications and Networks
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    • v.1 no.2
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    • pp.81-85
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    • 1999
  • The regrowth of OQPSK power spectral sidelobes from AM/AM and AM/PM amplifier nonlinearity is analyzed. The time-domain expression for amplifier output shows how spectral re-growth will depend on the cubic coefficient of the Taylor's series of the amplifier nonlinearity as well as input amplitude ripple. Closed form spectrum calculations show that the spectral sidelobes produced by AM/PM take the same form as those produced by AM/AM. The rate of growth of AM/PM sidelobes is, however, not as great as for AM/AM.

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Analysis on Signal Flow Graph of Slotted LIne (Slotted Line의 Signal Flow Graph 해석)

  • 박기수
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.6 no.3
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    • pp.8-11
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    • 1969
  • In the precision measurement of the voltage standing wave ratio (VSWR) or reflection coefficient by means of the slotted line technique, one of the important factors is the maximum error due to the discontinuities and multi-reflection in the slotted line. Particularly, this error becomes a critical factor when the VSWR or the reflection coefficient to be measured is very small. In this paper, the exact expression of this error is obtained by means of the Signal flow graph method.

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