• Title/Summary/Keyword: Correspondences

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Measuring plagiarism in the second language essay writing context (영작문 상황에서의 표절 측정의 신뢰성 연구)

  • Lee, Ho
    • English Language & Literature Teaching
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    • v.12 no.1
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    • pp.221-238
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    • 2006
  • This study investigates the reliability of plagiarism measurement in the ESL essay writing context. The current study aims to address the answers to the following research questions: 1) How does plagiarism measurement affect test reliability in a psychometric view? and 2) how do raters conceive the plagiarism in their analytic scoring? This study uses the mixed-methodology that crosses quantitative-qualitative techniques. Thirty eight international students took an ESL placement writing test offered by the University of Illinois. Two native expert raters rated students' essays in terms of 5 analytic features (organization, content, language use, source use, plagiarism) and made a holistic score using a scoring benchmark. For research question 1, the current study, using G-theory and Multi-facet Rasch model, found that plagiarism measurement threatened test reliability. For research question 2, two native raters and one non-native rater in their email correspondences responded that plagiarism was not a valid analytic area to be measured in a large-scale writing test. They viewed the plagiarism as a difficult measurement are. In conclusion, this study proposes that a systematic training program for avoiding plagiarism should be given to students. In addition, this study suggested that plagiarism is measured reliably in the small-scale classroom test.

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Camera Calibration for Machine Vision Based Autonomous Vehicles (머신비젼 기반의 자율주행 차량을 위한 카메라 교정)

  • Lee, Mun-Gyu;An, Taek-Jin
    • Journal of Institute of Control, Robotics and Systems
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    • v.8 no.9
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    • pp.803-811
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    • 2002
  • Machine vision systems are usually used to identify traffic lanes and then determine the steering angle of an autonomous vehicle in real time. The steering angle is calculated using a geometric model of various parameters including the orientation, position, and hardware specification of a camera in the machine vision system. To find the accurate values of the parameters, camera calibration is required. This paper presents a new camera-calibration algorithm using known traffic lane features, line thickness and lane width. The camera parameters considered are divided into two groups: Group I (the camera orientation, the uncertainty image scale factor, and the focal length) and Group II(the camera position). First, six control points are extracted from an image of two traffic lines and then eight nonlinear equations are generated based on the points. The least square method is used to find the estimates for the Group I parameters. Finally, values of the Group II parameters are determined using point correspondences between the image and its corresponding real world. Experimental results prove the feasibility of the proposed algorithm.

A Real-time Compact Structured-light based Range Sensing System

  • Hong, Byung-Joo;Park, Chan-Oh;Seo, Nam-Seok;Cho, Jun-Dong
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.12 no.2
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    • pp.193-202
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    • 2012
  • In this paper, we propose a new approach for compact range sensor system for real-time robot applications. Instead of using off-the-shelf camera and projector, we devise a compact system with a CMOS image-sensor and a DMD (Digital Micro-mirror Device) that yields smaller dimension ($168{\times}50{\times}60mm$) and lighter weight (500g). We also realize one chip hard-wired processing of projection of structured-light and computing the range by exploiting correspondences between CMOS images-ensor and DMD. This application-specific chip processing is implemented on an FPGA in real-time. Our range acquisition system performs 30 times faster than the same implementation in software. We also devise an efficient methodology to identify a proper light intensity to enhance the quality of range sensor and minimize the decoding error. Our experimental results show that the total-error is reduced by 16% compared to the average case.

Selection Factors for Cultivation Practices in Paddy Rice Farming (논벼 농가의 재배기술 선택요인 분석)

  • Jeong, U Seok;Kim, Seongsup;Seo, Sangtaek
    • Journal of Agricultural Extension & Community Development
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    • v.25 no.1
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    • pp.45-56
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    • 2018
  • This study analyzed the selection factors for cultivation practices in paddy rice farming. For the study, conjoint model with part-worth utility was adopted, where model profiles included three attributes of yield, production cost, and cultivation difficulties and two levels for each attribute. The value of each level was set up with experimental data obtained from National Institute of Crop Science. Ninety three rice farmers, who joined Korea Rural Economic Institute as farmer correspondences, were surveyed through internet with the profiles selected by factorial design. Result showed that rice farmers considered cultivation difficulties as the most important selection factor to adopt new cultivation practices followed by production cost and yield in consecutive order. This results were robust in spite of past experiences with new practices, willingness to adopt new practices in the future, imitative nature and government interventions.

Localization of a Monocular Camera using a Feature-based Probabilistic Map (특징점 기반 확률 맵을 이용한 단일 카메라의 위치 추정방법)

  • Kim, Hyungjin;Lee, Donghwa;Oh, Taekjun;Myung, Hyun
    • Journal of Institute of Control, Robotics and Systems
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    • v.21 no.4
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    • pp.367-371
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    • 2015
  • In this paper, a novel localization method for a monocular camera is proposed by using a feature-based probabilistic map. The localization of a camera is generally estimated from 3D-to-2D correspondences between a 3D map and an image plane through the PnP algorithm. In the computer vision communities, an accurate 3D map is generated by optimization using a large number of image dataset for camera pose estimation. In robotics communities, a camera pose is estimated by probabilistic approaches with lack of feature. Thus, it needs an extra system because the camera system cannot estimate a full state of the robot pose. Therefore, we propose an accurate localization method for a monocular camera using a probabilistic approach in the case of an insufficient image dataset without any extra system. In our system, features from a probabilistic map are projected into an image plane using linear approximation. By minimizing Mahalanobis distance between the projected features from the probabilistic map and extracted features from a query image, the accurate pose of the monocular camera is estimated from an initial pose obtained by the PnP algorithm. The proposed algorithm is demonstrated through simulations in a 3D space.

Choosing preferable labels for the Japanese translation of the Human Phenotype Ontology

  • Ninomiya, Kota;Takatsuki, Terue;Kushida, Tatsuya;Yamamoto, Yasunori;Ogishima, Soichi
    • Genomics & Informatics
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    • v.18 no.2
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    • pp.23.1-23.6
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    • 2020
  • The Human Phenotype Ontology (HPO) is the de facto standard ontology to describe human phenotypes in detail, and it is actively used, particularly in the field of rare disease diagnoses. For clinicians who are not fluent in English, the HPO has been translated into many languages, and there have been four initiatives to develop Japanese translations. At the Biomedical Linked Annotation Hackathon 6 (BLAH6), a rule-based approach was attempted to determine the preferable Japanese translation for each HPO term among the candidates developed by the four approaches. The relationship between the HPO and Mammalian Phenotype translations was also investigated, with the eventual goal of harmonizing the two translations to facilitate phenotype-based comparisons of species in Japanese through cross-species phenotype matching. In order to deal with the increase in the number of HPO terms and the need for manual curation, it would be useful to have a dictionary containing word-by-word correspondences and fixed translation phrases for English word order. These considerations seem applicable to HPO localization into other languages.

Solving the Correspondence Problem by Multiple Stereo Image and Error Analysis of Computed Depth (다중 스테레오영상을 이용한 대응문제의 해결과 거리오차의 해석)

  • 이재웅;이진우;박광일
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.19 no.6
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    • pp.1431-1438
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    • 1995
  • In this paper, we present a multiple-view stereo matching method in case of moving in the direction of optical axis with stereo camera. Also we analyze the obtainable depth precision to show that multiple-view stereo increases the virtual baseline with single-view stereo. This method decides candidate points for correspondence in each image pair and then search for the correct combinations of correspondences among them using the geometrical consistency they must satisfy. Adantages of this method are capability in increasing the accuracy in matching by using the multiple stereo images and less computation due to local processing. This method computes 3-D depth by averaging the depth obtained in each multiple-view stereo. We show that the resulting depth has more precision than depth obtainable by each independent stereo when the position of image feature is uncertain due to image noise. This paper first defines a multipleview stereo agorithm in case of moving in the direction of optical axis with stereo camera and analyze the obtainable precision of computed depth. Then we represent the effect of removing the incorrect matching candidate and precision enhancement with experimental result.

Real-Time Camera Tracking for Markerless Augmented Reality (마커 없는 증강현실을 위한 실시간 카메라 추적)

  • Oh, Ju-Hyun;Sohn, Kwang-Hoon
    • Journal of Broadcast Engineering
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    • v.16 no.4
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    • pp.614-623
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    • 2011
  • We propose a real-time tracking algorithm for an augmented reality (AR) system for TV broadcasting. The tracking is initialized by detecting the object with the SURF algorithm. A multi-scale approach is used for the stable real-time camera tracking. Normalized cross correlation (NCC) is used to find the patch correspondences, to cope with the unknown and changing lighting condition. Since a zooming camera is used, the focal length should be estimated online. Experimental results show that the focal length of the camera is properly estimated with the proposed online calibration procedure.

A study of Traditional Korean Medicine(TKM) term's Normalization for Enlarged Reference terminology model (참조용어(Reference Terminology) 모델 확장을 위한 한의학용어 정형화(Normalization) 연구)

  • Jeon, Byoung-Uk;Hong, Seong-Cheon
    • Journal of the Korean Institute of Oriental Medical Informatics
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    • v.15 no.2
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    • pp.1-6
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    • 2009
  • The discipline of terminology is based on its own theoretical principles and consists primarily of the following aspects: analysing the concepts and concept structures used in a field or domain of activity, identifying the terms assigned to the concepts, in the case of bilingual or multilingual terminology, establishing correspondences between terms in the various languages, creating new terms, as required. The word properties has syntax, morphology and orthography. The syntax is that how words are put together. The morphology is consist of inflection, derivation, and compounding. The orthography is spelling. Otherwise, the terms of TKM(Traditional Korean Medicine) is two important element of visual character and phonetic notation. A visual character consist of spell, sort words, stop words, etc. For example, that is a case of sort words in which this '다한', '한다', '多汗', '汗多' as same. A phonetic notation consist of palatalization, initial law, etc. For example, that is a case of palatalization in which this '수족랭', '수족냉', '手足冷', '手足冷' as same. Therefore, to enlarged reference terminology is a method by term's normalization. For such a reason, TKM's terms of normalization is necessary.

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Example Based Motion Generation and its Applications with Efficient Control for Arbitrary Morphologies (다양한 골격의 효과적인 제어가 가능한 예제 기반의 모션 생성과 응용)

  • Choung, Yu-Jean;Kang, Kyung-Kyu;Kim, Dong-Ho
    • Journal of Korea Game Society
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    • v.9 no.1
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    • pp.127-134
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    • 2009
  • This paper presents a motion generation technique for arbitrary morphologies with the user defined correspondences between joints. Users can define the controlling part in the source character and the part to be controlled in the target character in our system. To remove the restriction in the morphology of the target character, we use the pair of example posture sets. In our system, in order to provide the correspondence regardless of the number of joints, the deformed part in the target character is simplified into the direction vector. The final postures are then generated with the weighted sum of the examples. Our experimental results demonstrate that our approach can generate motions for various target characters and can control the user defined joints in real-time.

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