• Title/Summary/Keyword: K-best

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The Best Generation Mix considering CO2 Air Pollution Constraint ($CO_2$ 배출량제약을 고려한 최적전원구성)

  • Lee, Sang-Sik;Tran, TrungTinh;Kwon, Jung-Ji;Choi, Jae-Seok
    • Proceedings of the KIEE Conference
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    • 2005.07a
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    • pp.149-151
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    • 2005
  • A new approach considering CO2 air pollution constraints in the long-term generation mix is proposed under uncertain circumstances. A characteristic feature of the presented approach in this paper is what effects give the air pollution constraints in long term best generation mix. Best generation mix problem is formulated by linear programming with fuel and construction cost minimization with load growth, reliability (reserve margin rate) and air pollutionconstraints. The proposed method accommodates the operation of pumped-storage generator. It was assumed in this study that the construction planning of the hydro power plants is given separately from the other generation plans. The effectiveness of the proposed approach is demonstrated by applying to the best generation mix problem of KEPCO-system, which contains nuclear, coal, LNG, oil and pumped-storage hydro plant multi-years.

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Robust Dialog Management with N-best Hypotheses Using Dialog Examples and Agenda (대화 예제와 아젠다를 이용한 음성 인식 오류에 강인한 대화 관리 방법)

  • Lee, Cheongjae;Jung, Sangkeun;Kim, Kyungduk;Lee, Gary Geunbae
    • Annual Conference on Human and Language Technology
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    • 2008.10a
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    • pp.156-161
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    • 2008
  • This work presents an agenda-based approach to improve the robustness of the dialog manager by using dialog examples and n-best recognition hypotheses. This approach supports n-best hypotheses in the dialog manager and keeps track of the dialog state using a discourse interpretation algorithm with the agenda graph and focus stack. Given the agenda graph and n-best hypotheses, the system can predict the next system actions to maximize multi-level score functions. To evaluate the proposed method, a spoken dialog system for a building guidance robot was developed. Preliminary evaluation shows this approach would be effective to improve the robustness of example-based dialog modeling.

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The Usage of an SNP-SNP Relationship Matrix for Best Linear Unbiased Prediction (BLUP) Analysis Using a Community-Based Cohort Study

  • Lee, Young-Sup;Kim, Hyeon-Jeong;Cho, Seoae;Kim, Heebal
    • Genomics & Informatics
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    • v.12 no.4
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    • pp.254-260
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    • 2014
  • Best linear unbiased prediction (BLUP) has been used to estimate the fixed effects and random effects of complex traits. Traditionally, genomic relationship matrix-based (GRM) and random marker-based BLUP analyses are prevalent to estimate the genetic values of complex traits. We used three methods: GRM-based prediction (G-BLUP), random marker-based prediction using an identity matrix (so-called single-nucleotide polymorphism [SNP]-BLUP), and SNP-SNP variance-covariance matrix (so-called SNP-GBLUP). We used 35,675 SNPs and R package "rrBLUP" for the BLUP analysis. The SNP-SNP relationship matrix was calculated using the GRM and Sherman-Morrison-Woodbury lemma. The SNP-GBLUP result was very similar to G-BLUP in the prediction of genetic values. However, there were many discrepancies between SNP-BLUP and the other two BLUPs. SNP-GBLUP has the merit to be able to predict genetic values through SNP effects.

Korean-English statistical speech translation Using n-best re-ranking (n-best 리랭킹을 이용한 한-영 통계적 음성 번역)

  • Lee, Dong-Hyeon;Lee, Jong-Hoon;Lee, Gary Geun-Bae
    • Annual Conference on Human and Language Technology
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    • 2006.10e
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    • pp.171-176
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    • 2006
  • 본 논문에서는 n-best 리랭킹을 이용한 한-영 통계적 음성 번역 시스템에 대해 논하고 있다. 보통의 음성 번역 시스템은 음성 인식 시스템, 자동 번역 시스템, 음성 합성 시스템이 순차적으로 결합되어 있다. 하지만 본 시스템은 음성 인식 오류에 보다 강인한 시스템을 만들기 위해 음성 인식 시스템으로부터 n-best 인식 문장을 추출하여 번역 결과와 함께 리랭킹의 과정을 거친다. 자동 번역 시스템으로 구절기반 통계적 자동 번역 모델을 사용하여, 음성 인식기의 발음 모델에서 기본 단어 단위와 맞추어 번역 모델과 언어 모델을 훈련시킴으로써 음성 번역 시스템에서 형태소 분석기를 제거할 수 있다. 또한 음성 인식 시스템에서 상황 별로 언어 모델을 분리하여 처리함으로써 자동 번역 시스템에 비해 부족한 음성 인식 시스템의 처리 범위를 보완할 수 있었다.

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Adaptive QoS Study for Video Streaming Service In MMT Protocol (비디오 스트리밍 서비스를 위한 MMT 기반 적응적 QoS 연구)

  • Jo, Bokyun;Lee, Doohyun;Suh, Doug Young
    • Journal of Broadcast Engineering
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    • v.20 no.1
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    • pp.40-47
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    • 2015
  • This paper discusses QoS enhancement in the Best-effort services of the service plan provided by MPEG Media Transport (MMT) systems for video streaming applications. Among MMT services, i.e. per-flow, per-class, and best-effort services, the server does not provide guaranteed bandwidth for the best-effort service only. Therefore, in the best-effort services, a bandwidth access priority is defined for various services, where the lowest priority is assigned to the low-level video services. To alleviate the issue of bandwidth limitation in the best-effort services, this paper investigates transmission of low-resolution video with low bitrate and up-sampling. Our experimental results prove the superiority of the proposed method in terms of delivered video quality.

Best simultaneous approximations from a convex subset

  • Park, Sung-Ho;Rhee, Hyang-Joo
    • Bulletin of the Korean Mathematical Society
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    • v.33 no.2
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    • pp.193-204
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    • 1996
  • Let U and V be nonempty compact subsets of two Hausdorff topological vector spaces. Suppose that a function $J : U \times V \to R$ is such that for each $\upsilon \in V, J(\cdot, \upsilon)$ is lower semi-continuous and convex on U, and for each $ u \in U, J(u, \cdot)$ is upper semi-continuous and concave on V.

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iBEST: A PROGRAM FOR BURNUP HISTORY ESTIMATION OF SPENT FUELS BASED ON ORIGEN-S

  • KIM, DO-YEON;HONG, SER GI;AHN, GIL HOON
    • Nuclear Engineering and Technology
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    • v.47 no.5
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    • pp.596-607
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    • 2015
  • In this paper, we describe a computer program, iBEST (inverse Burnup ESTimator), that we developed to accurately estimate the burnup histories of spent nuclear fuels based on sample measurement data. The burnup history parameters include initial uranium enrichment, burnup, cooling time after discharge from reactor, and reactor type. The program uses algebraic equations derived using the simplified burnup chains of major actinides for initial estimations of burnup and uranium enrichment, and it uses the ORIGEN-S code to correct its initial estimations for improved accuracy. In addition, we newly developed a stable bisection method coupled with ORIGEN-S to correct burnup and enrichment values and implemented it in iBEST in order to fully take advantage of the new capabilities of ORIGEN-S for improving accuracy. The iBEST program was tested using several problems for verification and well-known realistic problems with measurement data from spent fuel samples from the Mihama-3 reactor for validation. The test results show that iBEST accurately estimates the burnup history parameters for the test problems and gives an acceptable level of accuracy for the realistic Mihama-3 problems.

A Study on Children's Cosmetics Based on Analyzing Internet News and Best Items (인터넷 기사와 Best Item 분석을 통해 살펴본 어린이 화장품 연구)

  • Shim, Joonyoung
    • Journal of Fashion Business
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    • v.22 no.2
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    • pp.134-149
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    • 2018
  • The number of children wearing make-up is increasing. "Children's cosmetics" is not a legal term though it is commonly used. The purpose of this study is to analyze discussions on children's cosmetics based on news articles found on the internet. This study also identifies what products are being distributed as children's cosmetics. Keyword searches were conducted using internet portal sites. Information was extracted from news articles and Best Item 100 for children's cosmetics. The results of analyzing news articles and Best Item 100 lists are as follows : 1. There were two main discussion topics in news articles. The first topic was related to marketing(the branding and trends of children's cosmetics). The other topic was about government regulations(side effects, harmful ingredients, control, regulations, attention, proper product usage, product categorization, and the overall safety of children's cosmetics). By 2014, many articles had covered government control and regulation. However, since 2017, news articles have focused on the product categorization and the concern for overall safety has dramatically increased. 2. Three different product categories have appeared in the Best Item 100; they are cosmetics, toys, and other products. In market, consumers recognized children's cosmetics as cosmetics and also as toys. Between 2017 and 2018's Best Item, other products are dramatically down, color cosmetics and single cosmetics are on the rise, and the purchase of domestic products has increased.