• 제목/요약/키워드: sequence-to-sequence model

검색결과 1,626건 처리시간 0.035초

N/M/D/F/Fmax 일정계획 문제에서 최적 알고리듬의 개발 (A Development of Optimal Algorithms for N/M/D/F/Fmax Scheduling Problems)

  • 최성운
    • 산업경영시스템학회지
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    • 제13권21호
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    • pp.91-100
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    • 1990
  • This paper is concerned with the development of optimal algorithms for multi-stage flowshop scheduling problems with sequence dependent setup times. In the previous researches the setup time of a job is considered to be able to begin at the earliest opportunity given a particular sequence at the start of operations. In this paper the setup time of a job is considered to be able to begin only at the completion of that job on the previous machine to reflect the effects of the setup time to the performance measure of sequence dependent setup time flowshop scheduling. The results of the study consist of two areas; first, a general integer programming(IP) model is formulated and a nixed integer linear programming(MILP) model is also formulated by introducing a new binary variable. Second a depth-first branch and bound algorithm is developed. To reduce the computational burdens we use the best heuristic schedule developed by Choi(1989) as the first trial. The experiments for developed algorithm are designed for a 4$\times$3$\times$3 factorial design with 360 observations. The experimental factors are PS(ratio of processing time to setup time), M(number of machines), N(number of jobs).

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A Model of the Operator Cognitive Behaviors During the Steam Generator Tube Rupture Accident at a Nuclear Power Plant

  • Mun, J.H.;Kang, C.S.
    • Nuclear Engineering and Technology
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    • 제28권5호
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    • pp.467-481
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    • 1996
  • An integrated framework of modeling the human operator cognitive behavior during nuclear power plant accident scenarios is presented. It incorporates both plant and operator models. The basic structure of the operator model is similar to that of existing cognitive models, however, this model differs from those existing ones largely in too aspects. First, using frame and membership function, the pattern matching behavior, which is identified as the dominant cognitive process of operators responding to an accident sequence, is explicitly implemented in this model. Second, the non-task-related human cognitive activities like effect of stress and cognitive biases such as confirmation bias and availability bias, are also considered. A computer code, OPEC is assembled to simulate this framework and is actually applied to an SGTR sequence, and the resultant simulated behaviors of operator are obtained.

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청취이해과정의 모형과 영어의 구어교육 (A model of listening comprehension process and the teaching of spoken English)

  • 김대원
    • 음성과학
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    • 제8권4호
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    • pp.185-191
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    • 2001
  • This study was designed to determine what components of spoken language have been relatively neglected in the teaching of listening comprehension in Korea and to suggest a model of listening process. Two types of tests were undertaken using spoken and written forms of English with secondary school teachers of English and college students. Findings: Hearing power has been generally neglected in the teaching of listening comprehension. Hearing power which can be thought as an active process is defined as an ability to transfer the sequence of discrete phonetic segments without word boundary into the sequence of words in phonemic representations by using both nonlinguistic factors and linguistic factors including perception rules based on phonetics and phonology. Vocabularies, hearing-speaking power, syntactic structures and idiomatic expressions are to be taught for spoken English. A model of listening process was suggested and discussed.

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점용접의 해석 모델 개발 및 용접조건에 대한 영향도 분석 (Development of Computational Model for Spot Welding and Effect Analysis on Welding Conditions)

  • 방혜진;주용현;최정훈;신현식;정병성;박규종;이상교;조종두
    • 한국자동차공학회논문집
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    • 제23권6호
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    • pp.642-649
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    • 2015
  • Resistance Spot Welding (RSW) is the method for joining two overlapped base materials when high pressure and current is applied from electrodes. Due to the safety problem such high pressure and voltage, automation should be early adopted. In this paper, the spot welding is developed as a computational model of wheel house from GM Korea and the welding condition such as weld sequence is considered. The computational analysis is preceded as a static and elasto-plastic procedure and used thermal expansion coefficient represents a dependency of spot volume between two panels. In case of welding sequence, the efficiency which depends on the distance between current spot point and the other is calculated in several cases.

cDNA Cloning, Expression and Homology Modeling of a Luciferase from the Firefly Lampyroidea maculata

  • Emamzadeh, Abdo Rahman;Hosseinkhani, Saman;Sadeghizadeh, Majid;Nikkhah, Maryam;Chaichi, Mohammad Javad;Mortazavi, Mojtaba
    • BMB Reports
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    • 제39권5호
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    • pp.578-585
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    • 2006
  • The cDNA of a firefly luciferase from lantern mRNA of Lampyroidea maculata has been cloned, sequenced and functionally expressed. The cDNA has an open reading frame of 1647 bp and codes for a 548-residue-long polypeptide. Noteworthy, sequence comparison as well as homology modeling showed the highest degree of similarity with H. unmunsana and L. mingrelica luciferases, suggesting a close phylogenetic relationship despite the geographical distance separation. The deduced amino acid sequence of the luciferase gene of firefly L. maculata showed 93% identity to H. unmunsana. Superposition of the three-dimensional model of L. maculata luciferase (generated by homology modeling) and three dimensional structure of Photinus pyralis luciferase revealed that the spatial arrangements of Luciferin and ATP-binding residues are very similar. Putative signature of AMP-binding domain among the various firefly species and Lampyroidea maculata was compared and a striking similarity was found. Different motifs and sites have been identified in Lampyroidea maculata by sequence analysis. Expression and purification of luciferase from Lampyroidea maculata was carried out using Ni-NTA Sepharose. Bioluminescence emission spectrum was similar to Photinus pyralis luciferase.

시공단계를 고려한 U-Channel Bridge의 슬래브 설계 (Slab Design of U-Channel Bridge Considering Construction Sequence)

  • 최동호;김성재;전선용;김용식;김성원
    • 한국콘크리트학회:학술대회논문집
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    • 한국콘크리트학회 2008년도 춘계 학술발표회 제20권1호
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    • pp.265-268
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    • 2008
  • 본 논문에서는 새로운 교량 형식인 U-Channel Bridge(UCB)의 시공단계를 고려하여 그 거동 및 슬래브의 설계방법에 대한 연구를 수행하였다. UCB는 각각의 세그먼트를 공장에서 제작하여 현장에서 조립하여 시공하므로 각 시공단계별로 지지 조건에 변화가 발생한다. UCB의 시공단계를 지지 조건이 변화하는 제작, 운반, 가설빔 거치, 완공의 네 단계로 구분하여 각 단계마다 프레임 요소와 판 요소를 적용하여 적합한 구조해석 모델을 제시하였으며, 구조해석을 수행하고 그 결과를 검토하였다. 검토 결과 슬래브의 해석은 네 단계를 모두 고려하여 수행되어야 하는 것으로 나타났으며 구성된 모델을 적용하여 타당한 슬래브의 설계방법을 제안하였다.

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작업시간이 순서 의존적인 경우 조립상태를 나타내는 유방향그래프를 이용한 최적 제품 분해순서 결정 (Optimal Disassembly Sequencing with Sequence-Dependent Operation Times Based on the Directed Graph of Assembly States)

  • 강준규;이동호
    • 대한산업공학회지
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    • 제28권3호
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    • pp.264-273
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    • 2002
  • This paper focuses on disassembly sequencing, which is the problem of determining the optimum disassembly level and the corresponding disassembly sequence for a product at its end-of-life with the objective of maximizing the overall profit. In particular, sequence-dependent operation times, which frequently occur in practice due to tool-changeover, part reorientation, etc, are considered in the parallel disassembly environment. To represent the problem, a modified directed graph of assembly states is suggested as an extension of the existing extended process graph. Based on the directed graph, the problem is transformed into the shortest path problem and formulated as a linear programming model that can be solved straightforwardly with standard techniques. A case study on a photocopier was done and the results are reported.

Attention 기법을 통한 LSTM-s2s 모델의 댐유입량 예측 개선 (Improving dam inflow prediction in LSTM-s2s model with luong attention)

  • 이종혁;김연주
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2023년도 학술발표회
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    • pp.226-226
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    • 2023
  • 하천유량, 댐유입량 등을 예측하기 위해 다양한 Long Short-Term Memory (LSTM) 방법들이 활발하게 적용 및 개발되고 있다. 최근 연구들은 s2s (sequence-to-sequence), Attention 기법 등을 통해 LSTM의 성능을 개선할 수 있음을 제시하고 있다. 이에 따라 본 연구에서는 LSTM-s2s와 LSTM-s2s에 attention까지 첨가한 모델을 구축하고, 시간 단위 자료를 사용하여 유입량 예측을 수행하여, 이의 실제 댐 운영에 모델들의 활용 가능성을 확인하고자 하였다. 소양강댐 유역을 대상으로 2013년부터 2020년까지의 유입량 시자료와 종관기상관측기온 및 강수량 데이터를 학습, 검증, 평가로 나누어 훈련한 후, 모델의 성능 평가를 진행하였다. 최적 시퀀스 길이를 결정하기 위해 R2, RRMSE, CC, NSE, 그리고 PBIAS을 사용하였다. 분석 결과, LSTM-s2s 모델보다 attention까지 첨가한 모델이 전반적으로 성능이 우수했으며, attention 첨가 모델이 첨두값 예측에서도 높은 정확도를 보였다. 두 모델 모두 첨두값 발생 동안 유량 패턴을 잘 반영하였지만 세밀한 시간 단위 변화량 패턴 모의에는 한계가 있었다. 시간 단위 예측의 한계에도 불구하고, LSTM-s2s에 attention까지 추가한 모델은 향후 댐유입량 예측에 활용될 수 있을 것으로 판단한다.

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GenScan을 이용한 진핵생물의 서열 패턴 분석 (Anlaysis of Eukaryotic Sequence Pattern using GenScan)

  • 정용규;임이슬;차병헌
    • 한국인터넷방송통신학회논문지
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    • 제11권4호
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    • pp.113-118
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    • 2011
  • 서열 상동성 분석은 생명현상에 관여하는 물질을 정렬, 색인하여 데이터베이스 하는 것으로, 생명정보학의 유용성을 입증하는 분야이다. 본 논문에서는 구조가 복잡한 진핵생물의 서열 패턴을 단백질 서열로 변환하기 위해 은닉마르코프모델을 이용하는 GenScan 프로그램을 이용한다. 서열상동성 분석 중 최소거리 탐색 문제는 문제의 크기가 커지면 계산량이 기하급수적으로 증가하여 정확한 계산이 불가능해진다. 따라서 유사한 아미노산간의 치환과 상이한 아미노산간의 치환 점수를 차등화한 점수표를 적용하고, 은닉마르코프모델 등을 적용해 정교한 전이 확률모델을 적용한다. 변환된 서열을 서열 상동성 분석을 위해 사용되는 blast p를 이용하여, 은닉 마르코프 모델을 도입함으로 인해 단백질 구조 서열로 변환하는 데에 있어서 우수한 기능을 제공함을 알 수 있다.

Prediction and analysis of optimal frequency of layered composite structure using higher-order FEM and soft computing techniques

  • Das, Arijit;Hirwani, Chetan K.;Panda, Subrata K.;Topal, Umut;Dede, Tayfun
    • Steel and Composite Structures
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    • 제29권6호
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    • pp.749-758
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    • 2018
  • This article derived a hybrid coupling technique using the higher-order displacement polynomial and three soft computing techniques (teaching learning-based optimization, particle swarm optimization, and artificial bee colony) to predict the optimal stacking sequence of the layered structure and the corresponding frequency values. The higher-order displacement kinematics is adopted for the mathematical model derivation considering the necessary stress and stain continuity and the elimination of shear correction factor. A nine noded isoparametric Lagrangian element (eighty-one degrees of freedom at each node) is engaged for the discretisation and the desired model equation derived via the classical Hamilton's principle. Subsequently, three soft computing techniques are employed to predict the maximum natural frequency values corresponding to their optimum layer sequences via a suitable home-made computer code. The finite element convergence rate including the optimal solution stability is established through the iterative solutions. Further, the predicted optimal stacking sequence including the accuracy of the frequency values are verified with adequate comparison studies. Lastly, the derived hybrid models are explored further to by solving different numerical examples for the combined structural parameters (length to width ratio, length to thickness ratio and orthotropicity on frequency and layer-sequence) and the implicit behavior discuss in details.