• Title/Summary/Keyword: Decision Sciences

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가우스 채널 상에서의 비터비 디코딩에 대한 성능 분석 및 최적 조건 고찰 (The performance analysis and optimal conditions for Viterbi decoding over the Gaussian channel)

  • 원대호;정희석;양연모
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2010년도 춘계학술대회
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    • pp.357-359
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    • 2010
  • 비터비 디코딩 방법은 컨볼루션 복호화 방법 중에서 가장 많이 사용되고 알려진 복호화 방법이다. 본 논문에서는 실질적인 비터비 복호화 성능 고찰을 위하여 여러 가지 파라미터 값을 이용한다. 파라미터 값에 대한 여러 가지 비터비 복호화 방법에 대하여 논의한다. 그리고 비터비 알고리즘 방법중, 중판정과 경판정 이라는 서로 다른 의사결정에 의한 복호화 방법의 차이를 비교한다. 여러 가지 파라미터 값과 의사결정 방법을 가지고 가우시안 채널 상에서의 다양한 비터비 복호화 방법에 대하여 논의하여 가장 적절한 파라미터 값과 의사결정 방법에 대하여 논의한다.

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The Effect of Motivation in Obtaining a Certificate on Career Decision-Making Self-Efficacy-With a Focus on Landscape Technicians-

  • Iee Chen Oh;Yong Jo Jung
    • 한국환경과학회지
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    • 제32권8호
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    • pp.585-593
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    • 2023
  • This study promotes the understanding of landscape technicians by, assessing the professional qualification system that aligns with the needs of the 21st-century environment, distinct from the industrialization era, It, provides basic theoretical insights into the multi-dimensional connections between the motivation for a certificate and the career decision-making self-efficacy of individuals with a demand for the certificate in the structural aspect. The collected data underwent a comprehensive analysis involving frequency assessments, confirmatory factor analysis, descriptive statistics, reliability tests, and correlation analyses. The study found differences according to particpants' diverse sociodemographic characteristics including gender, place of residence, educational background, and occupation. The motivation for obtaining a certificate had significant positive effects on their career-decision-making self-efficacy, within the context of structural relations. The study findings on the relations between motivation for obtaining a certificate and career decision-making self-efficacy demonstrate that the direction and intensity of efforts to obtain a certificate can increase the career decision-making self-efficacy of people hoping to become landscape technicians.

위장 발화 방법의 차이가 청취 판단에 미치는 영향 (The Effects of the Methods of Disguised Voice on the Aural Decision)

  • 송민창;신지영;강선미
    • 대한음성학회지:말소리
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    • 제46호
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    • pp.25-35
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    • 2003
  • This study deals with the disguised voice (or voice disguise) in the field of forensic phonetics. We especially studied the effects of the methods of disguised voice on the aural decision. Within the nonelectronic-deliberate voice disguise area, the methods of disguised voice include use of lowered pitch, pinched nostrils, falsetto, and whisper. Ten (male:5, female:5) Seoul speakers made a recording of 16 sentences. In the aural test, 30 subjects listened normal and disguised voice. And they were asked to make a decision whether speakers identified or not. The result is as follows: The speaker verification of the falsetto and whisper was more difficult than the lowered pitch and pinched nostrils.

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Soft-Decision-and-Forward Protocol for Cooperative Communication Networks with Multiple Antennas

  • Yang, Jae-Dong;Song, Kyoung-Young;No, Jong-Seon;Shin, Dong-Joan
    • Journal of Communications and Networks
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    • 제13권3호
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    • pp.257-265
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    • 2011
  • In this paper, a cooperative relaying protocol called soft-decision-and-forward (SDF) with multiple antennas in each node is introduced. SDF protocol exploits the soft decision source symbol values from the received signal at the relay node. For orthogonal transmission (OT), orthogonal codes including Alamouti code are used and for non-orthogonal transmission (NT), distributed space-time codes are designed by using a quasi-orthogonal space-time block code. The optimal maximum likelihood (ML) decoders for the proposed protocol with low decoding complexity are proposed. For OT, the ML decoders are derived as symbolwise decoders while for NT, the ML decoders are derived as pairwise decoders. It can be seen through simulations that SDF protocol outperforms AF protocol for both OT and NT.

Group Decision Making Using Intuitionistic Hesitant Fuzzy Sets

  • Beg, Ismat;Rashid, Tabasam
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제14권3호
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    • pp.181-187
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    • 2014
  • Dealing with uncertainty is always a challenging problem. Intuitionistic fuzzy sets was presented to manage situations in which experts have some membership and non-membership value to assess an alternative. Hesitant fuzzy sets was used to handle such situations in which experts hesitate between several possible membership values to assess an alternative. In this paper, the concept of intuitionistic hesitant fuzzy set is introduced to provide computational basis to manage the situations in which experts assess an alternative in possible membership values and non-membership values. Distance measure is defined between any two intuitionistic hesitant fuzzy elements. Fuzzy technique for order preference by similarity to ideal solution is developed for intuitionistic hesitant fuzzy set to solve multi-criteria decision making problem in group decision environment. An example is given to illustrate this technique.

Implementing a Sustainable Decision-Making Environment - Cases for GIS, BIM, and Big Data Utilization -

  • Kim, Hwan-Yong
    • 한국BIM학회 논문집
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    • 제6권3호
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    • pp.24-33
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    • 2016
  • Planning occurs from day-to-day, small-scale decisions to large-scale infrastructure investment decisions. For that reason, various attempts have been made to appropriately assist decision-making process and its optimization. Lately, initiation of a large amount of data, also known as big data has received great attention from diverse disciplines because of versatility and adoptability in its use and possibility to generate new information. Accordingly, implementation of big data and other information management systems, such as geographic information systems (GIS) and building information modeling (BIM) have received enough attention to establish each of its own profession and other associated activities. In this extent, this study illustrates a series of big data implementation cases that can provide a lesson to urban planning domain. In specific, case studies analyze how data was used to extract the most optimized solution and what aspects could be helpful in relation to planning decisions. Also, important notions about GIS and its application in various urban cases are examined.

HEVC에서 Rough mode decision과 Most probable mode에 기반을 둔 고속 인트라 예측 모드 결정 방법 (Fast intra prediction mode decision based on rough mode decision and most probable mode in HEVC)

  • 이승호;박상효;장의선
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 2013년도 추계학술대회
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    • pp.71-74
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    • 2013
  • 차세대 동영상 표준 코덱인 High Efficiency Video Coding(HEVC)은 기존의 AVC/H.264 보다 동일 화질 대비 최대 약 2배의 압축 성능을 보여준다. 이러한 HEVC의 성능을 얻기 위하여 복잡한 연산이 많은 기법이 도입되었고 이로 인하여 HEVC의 시간 복잡도는 AVC/H.264보다 더욱 증가하였다. HEVC의 시간 복잡도를 줄이기 위해서 다양한 고속 알고리즘이 논의되고 있고 인트라 예측 모드에서의 고속 알고리즘 연구 또한 많은 연구가 이루어지고 있다. 본 논문에서는 인트라 예측 모드 결정과정에서 HEVC에 구현된 Rough mode decision(RMD)와 Most probable mode(MPM)의 결과를 활용하여 고속화된 최종예측 모드 결정 방법을 제안한다. 실험 결과, HM 10.0의 All Intra 환경을 기준으로 BD-rate에서 약 0.9%의 손실과 함께 평균 24%의 속도 향상을 얻을 수 있었다.

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결정도에 의한 다치 순차회로 구현 (Implementation of multiple valued squential circuit using decision diagram)

  • 김성대;김휘진;박춘명;송홍복
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 1999년도 추계종합학술대회
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    • pp.278-281
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    • 1999
  • 본 논문에서는 많은 함수를 용이하게 해석하고 테스트할 수 있는 결정도(Decision diagram)에 의한 다치순차논리회로(Multiple valued squential circuit)를 구현하였다 우선, 다치순차 회로의 기억소사는 D F/F를 이용하였으며 전류모드에 의한 결정도 순차 논리 회로를 구현한다 이 회로의 동자특성은 PSPICE 시뮬레이션을 통하여 확인하였다. 본 논문에서 제시한 전류모드 CMOS의 결정도 다치순차회로는 회선 경로 선택의 규칙성, 간단성, 여러함수를 쉽게 해석하고 테스트 할 수 있는 등등의 이점을 가지므로 VLSI화 실현에 적합할 것으로 생각된다.

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Recurrent Neural Network Adaptive Equalizers Based on Data Communication

  • Jiang, Hongrui;Kwak, Kyung-Sup
    • Journal of Communications and Networks
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    • 제5권1호
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    • pp.7-18
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    • 2003
  • In this paper, a decision feedback recurrent neural network equalizer and a modified real time recurrent learning algorithm are proposed, and an adaptive adjusting of the learning step is also brought forward. Then, a complex case is considered. A decision feedback complex recurrent neural network equalizer and a modified complex real time recurrent learning algorithm are proposed. Moreover, weights of decision feedback recurrent neural network equalizer under burst-interference conditions are analyzed, and two anti-burst-interference algorithms to prevent equalizer from out of working are presented, which are applied to both real and complex cases. The performance of the recurrent neural network equalizer is analyzed based on numerical results.

Performance Analysis of Location Estimation Algorithm Using an Enhanced Decision Scheme for RTLS

  • Lee Hyun-Jae;Jeong Seung-Hee;Oh Chang-Heon
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2006년도 춘계종합학술대회
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    • pp.397-401
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    • 2006
  • In this paper, we proposed a high precision location estimation algorithm using an enhanced decision scheme for RTLS and analyzed its performance in point of an average estimation error distance at 2D coordinates searching area, $300m\times300m$ and LOS propagation environments. Also the performance was compared with that of conventional TDOA algorithm according to the number of available reader and received sub-blink. From the results, we confirmed that the proposed location estimation algorithm using an enhanced decision scheme was able to improve an estimation accuracy even in boundary region of searching area. Moreover, effectively reduced an error distance in entire searching area so that increased the stability of location estimation in RTLS. Therefore, we verified that the proposed algorithm provided a more higher estimation accuracy and stability than conventional TDOA.

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