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

검색결과 1,636건 처리시간 0.029초

해양사고 예방을 위한 사전학습 언어모델의 순차적 레이블링 기반 복수 인과관계 추출 (Sequence Labeling-based Multiple Causal Relations Extraction using Pre-trained Language Model for Maritime Accident Prevention)

  • 문기영;김도현;양태훈;이상덕
    • 한국안전학회지
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    • 제38권5호
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    • pp.51-57
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    • 2023
  • Numerous studies have been conducted to analyze the causal relationships of maritime accidents using natural language processing techniques. However, when multiple causes and effects are associated with a single accident, the effectiveness of extracting these causal relations diminishes. To address this challenge, we compiled a dataset using verdicts from maritime accident cases in this study, analyzed their causal relations, and applied labeling considering the association information of various causes and effects. In addition, to validate the efficacy of our proposed methodology, we fine-tuned the KoELECTRA Korean language model. The results of our validation process demonstrated the ability of our approach to successfully extract multiple causal relationships from maritime accident cases.

조선 공정계획에서 탑재 순서 생성 (Generation of Erection Sequence in Shipbuilding Process Planning)

  • 홍윤기;정은경;전진;김세영
    • 산업공학
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    • 제10권1호
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    • pp.189-207
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    • 1997
  • This paper explains a way of describing the erection sequence using the connecting relationship among blocks of a hull in shipbuilding industry. The information of the adjacent blocks such as upper, lower, right, left, front, rear, and their erection status, etd., is defined and the proper use of this allows us to determine one of the possible erection sequences. The methodology suggested also includes some useful benefits of avoiding insert blocks or maintaining stability in erection process. Further, an algorithm for generating the initial erection network is shown and this network may be a basis for designing daily erection scheduling. Some examples illustrate the procedure developed in this study and the results support the model's fidelity.

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문장대문장 학습을 이용한 음차변환 모델과 한글 음차변환어의 발음 유사도 기반 부분매칭 방법론 (A Transliteration Model based on the Seq2seq Learning and Methods for Phonetically-Aware Partial Match for Transliterated Terms in Korean)

  • 박주희;박원준;서희철
    • 한국정보과학회 언어공학연구회:학술대회논문집(한글 및 한국어 정보처리)
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    • 한국정보과학회언어공학연구회 2018년도 제30회 한글 및 한국어 정보처리 학술대회
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    • pp.443-448
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    • 2018
  • 웹검색 결과의 품질 향상을 위해서는 질의의 정확한 매칭 뿐만이 아니라, 서로 같은 대상을 지칭하는 한글 문자열과 영문 문자열(예: 네이버-naver)의 매칭과 같은 유연한 매칭 또한 중요하다. 본 논문에서는 문장대문장 학습을 통해 영문 문자열을 한글 문자열로 음차변환하는 방법론을 제시한다. 또한 음차변환 결과로 얻어진 한글 문자열을 동일 영문 문자열의 다양한 음차변환 결과와 매칭시킬 수 있는 발음 유사성 기반 부분 매칭 방법론을 제시하고, 위키피디아의 리다이렉트 키워드를 활용하여 이들의 성능을 정량적으로 평가하였다. 이를 통해 본 논문은 문장대문장 학습 기반의 음차 변환 결과가 복잡한 문맥을 고려할 수 있으며, Damerau-Levenshtein 거리의 계산에 자모 유사도를 활용하여 기존에 비해 효과적으로 한글 키워드들 간의 부분매칭이 가능함을 보였다.

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배경의 특징 추적을 이용한 물체의 이동 거리 추정 및 정확도 평가 (A Distance Estimation Method of Object′s Motion by Tracking Field Features and A Quantitative Evaluation of The Estimation Accuracy)

  • 이종현;남시욱;이재철;김재희
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 1999년도 추계종합학술대회 논문집
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    • pp.621-624
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    • 1999
  • This paper describes a distance estimation method of object's motion in soccer image sequence by tracking field features. And we quantitatively evaluate the estimation accuracy We suppose that the input image sequence is taken with a camera on static axis and includes only zooming and panning transformation between frames. Adaptive template matching is adopted for non-rigid object tracking. For background compensation, feature templates selected from reference frame image are matched in following frames and the matched feature point pairs are used in computing Affine motion parameters. A perspective displacement field model is used for estimating the real distance between two position on Input Image. To quantitatively evaluate the accuracy of the estimation, we synthesized a 3 dimensional virtual stadium with graphic tools and experimented on the synthesized 2 dimensional image sequences. The experiment shows that the average of the error between the actual moving distance and the estimated distance is 1.84%.

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Design and Synthesis of Metallopeptide Sensors: Tuning Selectivity with Ligand Variation

  • Kim, Joung-Min;Joshi, Bishnu Prasad;Lee, Keun-Hyeung
    • Bulletin of the Korean Chemical Society
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    • 제31권9호
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    • pp.2537-2541
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    • 2010
  • We chose a fluorescent pentapeptide sensor (-CPGHE) containing a dansyl fluorophore as a model peptide and investigated whether the selectivity and sensitivity of the peptides for heavy and transition metal ions could be tuned by changing amino acid sequence. In this process, we developed a selective peptide sensor, Cp1-d (-HHPGE, $K_d\;=\;670\;nM$) for detection of $Zn^{2+}$ in 100% aqueous solution and a selective and sensitive peptide sensor, Cp1-e (-CCHPGE, $K_d\;=\;24\;nM$) for detection of $Cd^{2+}$ in 100% aqueous solution. Overall results indicate that the selectivity and sensitivity of the metallopeptide sensors to specific heavy and transition metal ions can be tuned by changing amino acid sequence.

비디오 영상내의 사람 추적을 위한 강인한 멀티-파트 추적 방법 (A Robust Multi-part Tracking of Humans in the Video Sequence)

  • 김태현;김진율
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2003년도 하계종합학술대회 논문집 Ⅳ
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    • pp.2088-2091
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    • 2003
  • We presents a new algorithm for tracking person in video sequence that integrates the meanshift iteration procedure into the particle filtering. Utilizing the nice property of convergence to the modes in the meanshift iteration we show that only a few sample points are sufficient, while in general the particle filtering requires a large number of sample points. Multi-parts of a person is tracked independently of each other based on the color Then, the similarity against the reference model color and the geometric constraints between multi-parts are reflected as the sample weights. Also presented is the computer simulation results, which show successful tracking even for complex background clutter.

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Music Key Identification using Chroma Features and Hidden Markov Models

  • Kanyange, Pamela;Sin, Bong-Kee
    • 한국멀티미디어학회논문지
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    • 제20권9호
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    • pp.1502-1508
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    • 2017
  • A musical key is a fundamental concept in Western music theory. It is a collective characterization of pitches and chords that together create a musical perception of the entire piece. It is based on a group of pitches in a scale with which a music is constructed. Each key specifies the set of seven primary chromatic notes that are used out of the twelve possible notes. This paper presents a method that identifies the key of a song using Hidden Markov Models given a sequence of chroma features. Given an input song, a sequence of chroma features are computed. It is then classified into one of the 24 keys using a discrete Hidden Markov Models. The proposed method can help musicians and disc-jockeys in mixing a segment of tracks to create a medley. When tested on 120 songs, the success rate of the music key identification reached around 87.5%.

유전 알고리즘에 기초한 셀 배치의 설계 (Design of Cellular Layout based on Genetic Algorithm)

  • 이병욱;조규갑
    • 한국정밀공학회지
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    • 제16권6호
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    • pp.197-208
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    • 1999
  • This paper presents an operation sequence-based approach for determining machine cell layout in a cellular manufacturing environment. The proposed model considers the sequence of operations in evaluating the intercell and intracell movements. In this paper, design of cellular layout has an objective of minimization of total material flow among facilities, where the total material flow is defined as a weighted sum of both intercell and intracell part movements. The proposed algorithm is developed by using genetic algorithm and can be used to design an optimal cellular layout which can cope with changes of shop floor situation by considering constraints such as the number of machine cells and the number of machines in a machine cell.

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마이크로파스칼에 의한 디지탈 제어시스템의 체계적 구성 (The systematic organization of digital control system by micropascal)

  • 우광방;김현기;김복기
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1987년도 한국자동제어학술회의논문집; 한국과학기술대학, 충남; 16-17 Oct. 1987
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    • pp.288-293
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    • 1987
  • This study presents the methodology for the hierachical construction of digital control system which can be of practical value to a wide application of sequence control. Optimization of digital control system, programming of the system by micropascal, and simulation of a model program under test are discussed.

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기계중복과 셀간 이동수의 최소화가 가능한 예외적 요소의 제거 방법 : 비용 및 설치대수 제약 고려 (A Method of Eliminating Exceptional Elements Attainting Minimum Machine Duplications and Intercell Moves In Cell Manufacturing Systems)

  • 장익;윤창원;정병희
    • 한국경영과학회:학술대회논문집
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    • 한국경영과학회 1998년도 추계학술대회 논문집
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    • pp.263-266
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    • 1998
  • Several constraints in machine duplication cost, machining capability, cell space capacity, intercell moves and exceptional elements(EEs) are main problems that prevent achieving the goal of ideal Cellular Manufacturin System (CMS) environment. Minimizing intercell part traffics and EEs are the main objective of the cell formation problem as it's a critical point that improving production efficiency. Because the intercell moves could be changed according to the sequence of operation, it should be considered in assigning parts and machines to machine cells. This paper presents a method that eliminates EEs under the constraints of machine duplication cost and cell space capacity attaining two goals of minimizing machine duplications and minimizing intercell moves simultaneously. Developing an algorithm that calculates the machine duplications by cell-machine incidence matrix and part-machine incidence matrix, and calculates the exact intercell moves considering the sequence of operation. Based on the number of machine duplications and exact intercell moves, the goal programming model which satisfying minimum machine duplications and minimum intercell moves is developed. A linear programming model is suggested that could calculates more effectively without damaging optimal solution. A numerical example is provided to illustrate these methods.

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