• Title/Summary/Keyword: acquisition pattern of Korean

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Algorithm for Automatic Interpretation of Cartographic Information (지리 정보 추출의 자동화 알고리듬)

  • Oh, Suk
    • Journal of the Korea Society of Computer and Information
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    • v.5 no.4
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    • pp.21-27
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    • 2000
  • This paper is keeping with the general pattern of automatic acquisition and interpretation of geographical digital data. Maps of the Institut Geographique National of France are built up with four so-called "mother" maps represented by four colors. The green one deals with the vegetation. In a green layer, woods, bushes, vines. fields and boundaries of domanial forests or nature reserves are represented by different synthetic textures We present here an original method of texture analysis applied to the automatic interpretation of vegetation belts.

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Gravity Level Dependency of Gas-Liquid Two-Phase Flow

  • Choi, Bu-Hong
    • Journal of Advanced Marine Engineering and Technology
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    • v.27 no.4
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    • pp.487-493
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    • 2003
  • More reliable design of thermal transport. Power acquisition and thermal management systems requires the through understanding of the flow hydrodynamic. the differences and similarities between the two-phase flow characteristics of two-Phase flow influenced by the gravity levels. The data of flow Patterns, void fraction, frictional pressure drop associated with their characteristics were obtained at $\mu\textrm{g}$. 1g and 2g. Flow patterns and void fraction data obtained at three gravity levels were compared with each other and previous models and correlations.

An Efficient Korean Part-of-Speech Tagging (한국어에 적합한 효율적인 품사 태깅)

  • 김영훈
    • The Journal of the Korea Contents Association
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    • v.2 no.2
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    • pp.98-102
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    • 2002
  • In this paper i offer a new part-of-speech tagging method for Korean, it can solve difficulty of statistical data acquisition and ambiguities due to same part-of-speech stream input and make good use of the Corpus. This method can solve that the corpus don't have huge. This method uses pattern information about part-of-speech among eojols and constraint-rules in order to perform part-of-speech tagging. The Constraint-rule is used to select appropriate part-of-speech pattern.

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The shape measurement of 3D object by using the method of interference pattern projection. (간섭무늬 투영 방식의 3차원 형상 측정)

  • 이연태;강영준;박낙규;황용선;백성훈
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.05a
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    • pp.271-274
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    • 2002
  • The 3-D measurement using interference pattern projection is very attractive because of its high measuring speed and high sensitivity. When a sinusoidal amplitude grating was projected on an object, the surface-height distribution of the object is translated into a phase distribution of the deformed grating image. The patters was generated by a interferometer, and a PZT was used to shift the fringes on the target surface. The phase-acquisition algorithms are so sufficiently simple that high-resolution phase maps using a CCD camera can be generated in a short time. A working system requires a interferometer, a PZT, and a detector array interfaced to a microcomputer. Results of measurements on the diffused test objects are described.

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A Case Study on Distance Learning Based Computer Vision Laboratory (원거리 학습 기반 컴퓨터 비젼 실습 사례연구)

  • Lee, Seong-Yeol
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2005.10a
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    • pp.175-181
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    • 2005
  • This paper describes the development of on-line computer vision laboratories to teach the detailed image processing and pattern recognition techniques. The computer vision laboratories include distant image acquisition method, basic image processing and pattern recognition methods, lens and light, and communication. This study introduces a case study that teaches computer vision in distance learning environment. It shows a schematic of a distant loaming workstation and contents of laboratories with image processing examples. The study focus more on the contents of the vision Labs rather than internet application method. The study proposes the ways to improve the on-line computer vision laboratories and includes the further research perspectives

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Acquisition of Named-Entity-Related Relations for Searching

  • Nguyen, Tri-Thanh;Shimazu, Akira
    • Proceedings of the Korean Society for Language and Information Conference
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    • 2007.11a
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    • pp.349-357
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    • 2007
  • Named entities (NEs) are important in many Natural Language Processing (NLP) applications, and discovering NE-related relations in texts may be beneficial for these applications. This paper proposes a method to extract the ISA relation between a "named entity" and its category, and an IS-RELATED-TO relation between the category and its related object. Based on the pattern extraction algorithm "Person Category Extraction" (PCE), we extend it for solving our problem. Our experiments on Wall Street Journal (WSJ) corpus show promising results. We also demonstrate a possible application of these relations by utilizing them for semantic search.

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Interpretations of Korean Reflexive Binding by Late L2 learners of Korean with English and Chinese L1

  • Kim, Ji-Hye
    • Language and Information
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    • v.14 no.1
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    • pp.67-91
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    • 2010
  • Present study examines L1 transfer effect and UG involvement in the acquisition of binding properties of Korean as second language (L2). The study especially investigates i) whether knowledge from different L1s (English and Chinese) affect the interpretation of binding in Korean as L2 and ii) whether L2 learners of Korean differentiate two Korean anaphors like Korean monolinguals do, based on their knowledge of universal form-function correlation of anaphors. 53 post-puberty L2 learners of Korean with English or Chinese L1, together with 30 Korean monolinguals, were tested over Truth Value Judgment Task with stories, composed of Korean sentences representing various types of binding with two Korean reflexives - caki and caki-casin. The results showed some effect of L1 transfer, though not always. Overall, late L2 learners of Korean seem to know the difference between the two anaphors in their properties related to form-function correlation, though their performance level was lower compared to Korean monolinguals. Detailed pattern of the results and the role of UG in the interpretations of Korean reflexives are also discussed.

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A Study on the Acquisition of Multi-Viewpoint Image for the Analysis of form and Space and its Effectiveness (형태 및 공간분석을 위한 다시점(多視點) 이미지 획득 및 유효성에 관한 연구)

  • Lee, Hyok-Jun;Lee, Jong-Suk
    • Korean Institute of Interior Design Journal
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    • no.34
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    • pp.149-156
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    • 2002
  • This study intends to acquire objective models for basic quantitative analysis of pattern and space through image-recognition technique, and verify the effectiveness of such acquired models. Many experiments showed that the recognized result can be varied depending on the different viewpoints and the analysis based on the single-viewpoint images does not provide objectivity. The experiment using multi-viewpoint image models, which was attempted as an alternative for the disadvantages, showed the recognition similar to that of the actual model. Especially, images generated at laboratory using miniature model may be useful in comparing and understanding plural number of patterns. The models that have been acquired using such images may be hard to use in acquiring images for analyzing actual building patterns or indoor space, although they may be useful in pattern analysis using miniature model. The disadvantage, however, can be supplemented with panorama VR and C. G. simulation technique. Steady researches are required on the application of visual information to the image recognition principle and the model for quantitative analysis of pattern and space in addition to the research on the construction of the model that can be used in comparing and analyzing not only form and space but also miniature models.

Changes of Cortical Activation Pattern Induced by Motor Learning with Serial Reaction Time Task (시열반응과제의 운동학습이 대뇌피질 활성화의 변화에 미치는 영향)

  • Kwon, Yong-Hyun;Chang, Jong-Sung;Kim, Chung-Sun
    • The Journal of Korean Physical Therapy
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    • v.21 no.1
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    • pp.65-71
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    • 2009
  • Purpose: Numerous investigators demonstrated that adaptative changes were induced by motor skill acquisition in the central nervous system. We investigated the changes of neuroelectric potential following motor learning with serial reaction time task in young healthy subjects, using electroencephalography (EEG). Methods: Twelve right-handed normal volunteers were recruited, who have no history of neurological dysfunction and were given to written the informed consent. All subjects were assigned to flex to extend the wrist joint or flex the thumb for pressing the matched button as quickly and accurately as possible, when one of five colored lights was displayed on computer screen (red, yellow, green, blue, white). EEG was measured, whenfive types simulations ware presented randomly with equal probabilities of 20% in total 200 times at the pre and post test. And they were scheduled for 30 minutes practice session during two consecutive days in the laboratory. Results: The results showed that the reaction time at the post test was significantly reduced, compared to one of the pre test in serial reaction time task. In EEG map analysis, the broaden bilateral activation tended to be changed to the focused contralateral activation in the frontoparietal area. Conclusion: These findings showed that acquisition of motor skill led to product more fast motor execution, and that motor learning could change cortical activation pattern, from the broaden bilateral activation to the focused contralateral activation. Thus we concluded that the adaptative change was induced by motor learning in healthy subjects.

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The Lateral Guidance System of an Autonomous Vehicle Using a Neural Network Model of Magneto-Resistive Sensor and Magnetic Fields (자기 저항 센서와 자기장의 신경회로망 모델을 이용한 자율 주행 차량 측 방향 안내 시스템)

  • 손석준;류영재;김의선;임영철;김태곤;이주상
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2000.05a
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    • pp.211-214
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    • 2000
  • This paper describes a lateral guidance system of an autonomous vehicle, using a neural network model of magneto-resistive sensor and magnetic fields. The model equation was compared with experimental sensing data. We found that the experimental result has a negligible difference from the modeling equation result. We verified that the modeling equation can be used in simulations. As the neural network controller acquires magnetic field values(B$\sub$x/, B$\sub$y/, B$\sub$z/) from the three-axis, the controller outputs a steering angle. The controller uses the back-propagation algorithms of neural network. The learning pattern acquisition was obtained using computer simulation, which is more exact than human driving. The simulation program was developed in order to verify the acquisition of the teaming pattern, learning itself, and the adequacy of the design controller. Also, the performance of the controller can be verified through simulation.

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