• Title/Summary/Keyword: Automatic Search

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Automatic Prediction of 'Anti-Search Variants' of Twitter based on Word Embeddings and Phonetic Similarity (단어 임베딩과 음성적 유사도를 이용한 트위터 '서치 방지 단어'의 자동 예측)

  • Lee, Sangah
    • Annual Conference on Human and Language Technology
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    • 2017.10a
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    • pp.190-193
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    • 2017
  • '서치 방지 단어'는 SNS 상에서 사용자들이 작성한 문서의 검색 및 수집을 피하기 위하여 사용하는 변이형을 뜻한다. 하나의 검색 키워드가 있다면 그와 같은 대상을 나타내는 변이형이 여러 형태로 존재할 수 있으며, 이들 변이형에 대한 검색 결과를 함께 수집할 수 있다면 데이터 확보가 중요하게 작용하는 다양한 연구에 큰 도움이 될 것이다. 본 연구에서는 특정 단어가 주어진 키워드로부터 의미 벡터 상의 거리가 가까울수록, 그리고 주어진 키워드와 비슷한 음성적 형태 즉 발음을 가질수록, 해당 키워드의 변이형일 가능성이 높을 것이라고 가정하였다. 이에 따라 단어 임베딩을 이용한 의미 유사도와 최소 편집 거리를 응용한 음성적 유사도를 이용하여 주어진 검색 키워드와 유사한 변이형들을 제안하고자 하였다. 그 결과 구성된 변이형 후보의 목록에는 다양한 형태의 단어들이 포함되었으며, 이들 중 다수가 실제 SNS 상에서 같은 의미로 사용되고 있음이 확인되었다.

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Improving accessibility and distinction between negative results in biomedical relation extraction

  • Sousa, Diana;Lamurias, Andre;Couto, Francisco M.
    • Genomics & Informatics
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    • v.18 no.2
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    • pp.20.1-20.4
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    • 2020
  • Accessible negative results are relevant for researchers and clinicians not only to limit their search space but also to prevent the costly re-exploration of research hypotheses. However, most biomedical relation extraction datasets do not seek to distinguish between a false and a negative relation among two biomedical entities. Furthermore, datasets created using distant supervision techniques also have some false negative relations that constitute undocumented/ unknown relations (missing from a knowledge base). We propose to improve the distinction between these concepts, by revising a subset of the relations marked as false on the phenotype-gene relations corpus and give the first steps to automatically distinguish between the false (F), negative (N), and unknown (U) results. Our work resulted in a sample of 127 manually annotated FNU relations and a weighted-F1 of 0.5609 for their automatic distinction. This work was developed during the 6th Biomedical Linked Annotation Hackathon (BLAH6).

Comparison of the Electronic Methods of Raw Silk Testing and Grading with Those of the Current Methods II. The Effectiveness and Convenience of Raw Silk Inspection Process by Uster Tester III (생사검사에 있어서 현행방법과 전자식 방법에 대한 비교분석 II. Uster Tester 3의 세리프렌 검사 정확도와 검사효율)

  • 최병희;김한수
    • Journal of Sericultural and Entomological Science
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    • v.34 no.1
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    • pp.72-80
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    • 1992
  • These studies were brought about to know how much the elctronic methods of raw silk testing is correct, effective and convenient in the testing process. These effectiveness and convenience for the testing process under the emergency of the automatic system in raw silk inspecting process, the convenience of inspection in crease in it's capability decreasing the necessary working members, but as certain defect, the corresponding time span needs more than the former case in kind. Judging from the above mentioned carefully, it is necessary or even immidiate for participants to deeply study and search in earnest as well, before adopting the so called International Method of Raw Silk Test and Classification which was proposed by S.S.C in 1990.

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A Study on the Indoor Sound-field Analysis by Adaptive Triangular Beam Method (적응 삼각형 빔 방법에 의한 실내음장 해석)

  • 조대승;성상경;김진형;최재호;박일권
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.13 no.3
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    • pp.217-224
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    • 2003
  • In this study, the adaptive triangular beam method(ATBM) considering different sound reflection coefficients and angles of a triangular beam on two or more planes as well as diffraction effect is suggested. The ATBM, subdividing a tracing triangular beam into multiple triangular beams on reflection planes, gives reliable and convergent sound-field analysis results without the dependancy on the number of initial triangular beam segmentation to search sound propagation paths from source to receiver. The validity of the method is verified by the comparison of numerical and experimental results for energy decay curve and steady-state sound pressure level of rooms having direct, reflective and diffractive sound paths.

Land Masking Methods of Sentinel-1 SAR Imagery for Ship Detection Considering Coastline Changes and Noise

  • Bae, Jeongju;Yang, Chan-Su
    • Korean Journal of Remote Sensing
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    • v.33 no.4
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    • pp.437-444
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    • 2017
  • Since land pixels often generate false alarms in ship detection using Synthetic Aperture Radar (SAR), land masking is a necessary step which can be processed by a land area map or water database. However, due to the continuous coastline changes caused by newport, bridge, etc., an updated data should be considered to mask either the land or the oceanic part of SAR. Furthermore, coastal concrete facilities make noise signals, mainly caused by side lobe effect. In this paper, we propose two methods. One is a semi-automatic water body data generation method that consists of terrain correction, thresholding, and median filter. Another is a dynamic land masking method based on water database. Based on water database, it uses a breadth-first search algorithm to find and mask noise signals from coastal concrete facilities. We verified our methods using Sentinel-1 SAR data. The result shows that proposed methods remove maximum 84.42% of false alarms.

Coefficient Estimation of IIR Digital Filters Using a Real-Coded Genetic Algorithm

  • Lee, Yun-Hyung;So, Myung-Ok;Jin, Gang-Gyoo;Rhyu, Keel-Soo
    • Journal of Advanced Marine Engineering and Technology
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    • v.31 no.7
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    • pp.863-871
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    • 2007
  • This paper proposes a methodology to estimate the system coefficients for the infinite impulse response(IIR) digital filters using real code GA. In the traditional real coded GA, it adapts the general genetic operations, whereas in this paper the proposed real coded GA applies improved genetic operations in order to search the optimal solution in given problems. Each of unknown IIR digital coefficients collected as forms of a chromosome. Two illustrative examples including the band pass and band stop IIR digital filters are demonstrated to verify the proposed method.

A Multiple Threshold Selection Algorithm Based on Maximum Fuzzy Entropy for the Final Inspection of Flip Chip BGA (플립 칩 BGA 최종 검사를 위한 최대퍼지엔트로피 기반의 다중임계값 선정 알고리즘)

  • 김경범
    • Journal of the Korean Society for Precision Engineering
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    • v.21 no.4
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    • pp.202-209
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    • 2004
  • Quality control is essential to the final product in BGA-type PCB fabrication. So, many automatic vision systems have been developed to achieve speedy, low cost and high quality inspection. A multiple threshold selection algorithm is a very important technique for machine vision based inspection. In this paper, an inspected image is modeled by using fuzzy sets and then the parameters of specified membership functions are estimated to be in maximum fuzzy entropy with the probability of the fuzzy sets, using the exhausted search method. Fuzzy c-partitions with the estimated parameters are automatically generated, and then multiple thresholds are selected as the crossover points of the fuzzy sets that form the estimated fuzzy partitions. Several experiments related to flip chip BGA images show that the proposed algorithm outperforms previous ones using both entropy and variance, and also can be successfully applied to AVI systems.

Automatic Prediction of 'Anti-Search Variants' of Twitter based on Word Embeddings and Phonetic Similarity (단어 임베딩과 음성적 유사도를 이용한 트위터 '서치 방지 단어'의 자동 예측)

  • Lee, Sangah
    • 한국어정보학회:학술대회논문집
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    • 2017.10a
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    • pp.190-193
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    • 2017
  • '서치 방지 단어'는 SNS 상에서 사용자들이 작성한 문서의 검색 및 수집을 피하기 위하여 사용하는 변이형을 뜻한다. 하나의 검색 키워드가 있다면 그와 같은 대상을 나타내는 변이형이 여러 형태로 존재할 수 있으며, 이들 변이형에 대한 검색 결과를 함께 수집할 수 있다면 데이터 확보가 중요하게 작용하는 다양한 연구에 큰 도움이 될 것이다. 본 연구에서는 특정 단어가 주어진 키워드로부터 의미 벡터 상의 거리가 가까울수록, 그리고 주어진 키워드와 비슷한 음성적 형태 즉 발음을 가질수록, 해당 키워드의 변이형일 가능성이 높을 것이라고 가정하였다. 이에 따라 단어 임베딩을 이용한 의미 유사도와 최소 편집 거리를 응용한 음성적 유사도를 이용하여 주어진 검색 키워드와 유사한 변이형들을 제안하고자 하였다. 그 결과 구성된 변이형 후보의 목록에는 다양한 형태의 단어들이 포함되었으며, 이들 중 다수가 실제 SNS 상에서 같은 의미로 사용되고 있음이 확인되었다.

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Multiobjective size and topolgy optimization of dome structures

  • Tugrul, Talaslioglu
    • Structural Engineering and Mechanics
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    • v.43 no.6
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    • pp.795-821
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    • 2012
  • The size and topology of geometrically nonlinear dome structures are optimized thereby minimizing both its entire weight & joint (node) displacements and maximizing load-carrying capacity. Design constraints are implemented from provisions of American Petroleum Institute specification (API RP2A-LRFD). In accordance with the proposed design constraints, the member responses computed by use of arc-length technique as a nonlinear structural analysis method are checked at each load increment. Thus, a penalization process utilized for inclusion of unfeasible designations to genetic search is correspondingly neglected. In order to solve this complex design optimization problem with multiple objective functions, Non-dominated Sorting Genetic Algorithm II (NSGA II) approach is employed as a multi-objective optimization tool. Furthermore, the flexibility of proposed optimization is enhanced thereby integrating an automatic dome generating tool. Thus, it is possible to generate three distinct sphere-shaped dome configurations with varying topologies. It is demonstrated that the inclusion of brace (diagonal) members into the geometrical configuration of dome structure provides a weight-saving dome designation with higher load-carrying capacity. The proposed optimization approach is recommended for the design optimization of geometrically nonlinear dome structures.

Personalized Search based on Community through the Automatic Analysis of Query Pattern (질의어 패턴 자동분석을 통한 커뮤니티 기반 개인화 검색)

  • Park, Gun-Woo;Jung, Jae-Hak;Lee, Sang-Hoon
    • Proceedings of the Korean Information Science Society Conference
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    • 2008.06a
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    • pp.37-38
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    • 2008
  • 기존의 웹 검색 엔진들은 사용자의 검색 의도를 충분히 반영하지 못하기 때문에 개인이 원하는 정보를 보다 정확하게 제공 할 수 없는 단점을 가지고 있다. 따라서 개인의 특성을 이해하고 검색에 반영함으로써 보다 정확한 개인화 검색 서비스를 제공하기 위한 많은 연구들이 진행되고 있다. 이러한 개인화된 검색 서비스를 통해, 사용자는 방대한 웹상의 정보를 보다 효율적으로 검색하여 자신에게 적합한 정보를 편리하게 획득 할 수 있으며 짧은 시간에 정확한 정보 획득을 보장 받을 수 있다. 본 논문에서는 개인의 질의어 패턴을 자동으로 분석하고 상위에 순위화 된 질의어 유형에 따라 주요 관심사 별 커뮤니티를 형성하여 검색에 반영함으로써 개인의 정보요구에 보다 큰 접한 개인화 검색 방안을 제안한다.

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