• 제목/요약/키워드: Information Ratio

검색결과 9,012건 처리시간 0.043초

Geo/Geo/1/1 대기 행렬 모형의 정보 신선도 (Age of Information for Geo/Geo/1/1 Queue)

  • Lee, Yutae
    • 한국정보통신학회논문지
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    • 제26권3호
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    • pp.483-486
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    • 2022
  • Real time data exchange and information transmission are becoming more and more important these days. The concept of age of information (AoI) was proposed to quantify the freshness of information about the status of a remote source system. The AoI is defined as the amount of time that a packet experiences since it was generated at the source up to now. This paper analyses the age of information for a discrete time Geo/Geo/1/1 status updating system. The stationary probability distribution for peak AoI is obtained. Freshness ratio of information is also derived. Some numerical results obtained by the analysis are presented.

Reliability and ratio in exponentiated complementary power function distribution

  • Moon, Yeung-Gil;Lee, Chang-Soo;Ryu, Se-Gi
    • Journal of the Korean Data and Information Science Society
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    • 제20권5호
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    • pp.955-960
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    • 2009
  • As we shall dene an exponentiated complementary power function distribution, we shall consider moments, hazard rate, and inference for parameter in the distribution. And we shall consider an inference of the reliability and distributions for the quotient and the ratio in two independent exponentiated complementary power function random variables.

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이웃 정보에 기초한 반모델을 이용한 발화 검증 (Utterance Verification Using Anti-models Based on Neighborhood Information)

  • 윤영선
    • 대한음성학회지:말소리
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    • 제67호
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    • pp.79-102
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    • 2008
  • In this paper, we investigate the relation between Bayes factor and likelihood ratio test (LRT) approaches and apply the neighborhood information of Bayes factor to building an alternate hypothesis model of the LRT system. To consider the neighborhood approaches, we contemplate a distance measure between models and algorithms to be applied. We also evaluate several methods to improve performance of utterance verification using neighborhood information. Among these methods, the system which adopts anti-models built by collecting mixtures of neighborhood models obtains maximum error rate reduction of 17% compared to the baseline, linear and weighted combination of neighborhood models.

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Butterfly Log-MAP Decoding Algorithm

  • Hou, Jia;Lee, Moon Ho;Kim, Chang Joo
    • Journal of Communications and Networks
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    • 제6권3호
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    • pp.209-215
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    • 2004
  • In this paper, a butterfly Log-MAP decoding algorithm for turbo code is proposed. Different from the conventional turbo decoder, we derived a generalized formula to calculate the log-likelihood ratio (LLR) and drew a modified butterfly states diagram in 8-states systematic turbo coded system. By comparing the complexity of conventional implementations, the proposed algorithm can efficiently reduce both the computations and work units without bit error ratio (BER) performance degradation.

주차 회전율의 추출 (Extraction of Parking Turnover Ratio)

  • 신성윤;이현창;안우영
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2016년도 제53차 동계학술대회논문집 24권1호
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    • pp.109-110
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    • 2016
  • 본 논문에서는 효율적으로 주차 공간을 확보와 주차장 성능을 향상을 위한 방법을 조사하였다. 이러한 방법으로는 차량 번호판 조사를 이용하여 주차 회전율을 구하는 방법이 있었다. 본 연구로 효율적으로 주차장을 사용하고 있는지를 판단할 수 있다. 또한 차량의 주차를 하여 잘 소통되는지를 알 수 있었다.

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신경회로망을 이용한 태양광 발전의 MPPT 제어 (MPPT Control of Photovoltaic using Neural Network)

  • 고재섭;최정식;정철호;김도연;정병진;정동화
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2008년도 춘계학술대회 논문집 전기기기 및 에너지변환시스템부문
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    • pp.221-223
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    • 2008
  • This paper presents a maximum power point tracking(MPPT) of Photovoltaic system with chopping ratio of DC-DC converter considered load. A variation of solar irradiation is most important factor in the MPPT of PV system. That is nonlinear, aperiodic and complicated. The paper consists of solar radiation source, DC-DC converter, DC motor and load(cf, pump). NN algorithm apply to DC-DC converter through an adaptive control of neural network, calculates converter-chopping ratio using an adaptive control of NN. The results of an adaptive control of NN compared with the results of converter-chopping ratio which are calculated mathematical modeling and evaluate the proposed algorithm. The experimental data show that an adequacy of the algorithm was established through the compared data.

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Photo Diode Sensor를 이용한 컬러정보 분석 (Analysis of Color Information by Photo Diode Sensor)

  • 김지선;정구인;임성환;이영재;이필재;이정환;김경섭;전재훈
    • 전기학회논문지
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    • 제60권5호
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    • pp.1049-1054
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    • 2011
  • Color is discerned due to the reflectance of object and its hue is determined by the Ratio of RGB spectrum. The aim of this study is to evaluate the Color information using by the optical system in terms of convenience and simplicity. Firstly, the differential Ratio of RGB is evaluated by photodiode Sensor which achieves a high efficiency with quick tranducer output. To extract the information of RGB Ratio, light emitting diode is built in Color sensing system with photodiode. Our proposed method is very economical, simple, and convenient. Our results can be applied to confirm the accurate information of Color in the research environments and commercial purposes. Thus RGB information can be determined subjectively and thus, the inherent characteristic of Color will be revealed precisely and its related features can be resolved in a real time mode.

Virtual Network Embedding based on Node Connectivity Awareness and Path Integration Evaluation

  • Zhao, Zhiyuan;Meng, Xiangru;Su, Yuze;Li, Zhentao
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권7호
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    • pp.3393-3412
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    • 2017
  • As a main challenge in network virtualization, virtual network embedding problem is increasingly important and heuristic algorithms are of great interest. Aiming at the problems of poor correlation in node embedding and link embedding, long distance between adjacent virtual nodes and imbalance resource consumption of network components during embedding, we herein propose a two-stage virtual network embedding algorithm NA-PVNM. In node embedding stage, resource requirement and breadth first search algorithm are introduced to sort virtual nodes, and a node fitness function is developed to find the best substrate node. In link embedding stage, a path fitness function is developed to find the best path in which available bandwidth, CPU and path length are considered. Simulation results showed that the proposed algorithm could shorten link embedding distance, increase the acceptance ratio and revenue to cost ratio compared to previously reported algorithms. We also analyzed the impact of position constraint and substrate network attribute on algorithm performance, as well as the utilization of the substrate network resources during embedding via simulation. The results showed that, under the constraint of substrate resource distribution and virtual network requests, the critical factor of improving success ratio is to reduce resource consumption during embedding.

트랜잭션 로그 분석을 통한 웹기반 온라인목록의 검색행태 추이 분석 (Trends of Web-based OPAC Search Behavior via Transaction Log Analysis)

  • 이성숙
    • 한국비블리아학회지
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    • 제23권2호
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    • pp.209-233
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    • 2012
  • 이 연구에서는 웹기반 온라인목록 이용자들의 전반적인 검색행태를 알아보기 위해, 7년 동안의 트랜잭션 로그를 분석하였다. 웹기반 온라인목록의 검색형태는 검색전략과 검색실패의 관점에서 조사하였다. 검색전략에서는 검색유형, 접근점, 연산자, 검색문의 길이, 단어 사용횟수, 웹기반 온라인목록 이용횟수, 시간대별 및 요일별 이용횟수를 분석하였다. 또한 검색실패는 검색실패율과 접근점별 검색실패율, 연산자별 검색실패율을 분석하였다. 이 연구결과는 향후 웹기반 온라인목록 시스템과 서비스 개선에 활용될 수 있을 것으로 기대된다.

Generative Adversarial Networks for single image with high quality image

  • Zhao, Liquan;Zhang, Yupeng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권12호
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    • pp.4326-4344
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    • 2021
  • The SinGAN is one of generative adversarial networks that can be trained on a single nature image. It has poor ability to learn more global features from nature image, and losses much local detail information when it generates arbitrary size image sample. To solve the problem, a non-linear function is firstly proposed to control downsampling ratio that is ratio between the size of current image and the size of next downsampled image, to increase the ratio with increase of the number of downsampling. This makes the low-resolution images obtained by downsampling have higher proportion in all downsampled images. The low-resolution images usually contain much global information. Therefore, it can help the model to learn more global feature information from downsampled images. Secondly, the attention mechanism is introduced to the generative network to increase the weight of effective image information. This can make the network learn more local details. Besides, in order to make the output image more natural, the TVLoss function is introduced to the loss function of SinGAN, to reduce the difference between adjacent pixels and smear phenomenon for the output image. A large number of experimental results show that our proposed model has better performance than other methods in generating random samples with fixed size and arbitrary size, image harmonization and editing.