• Title/Summary/Keyword: movement search

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Copy Raising Construction in English: A Usage-based Perspective

  • Kim, Jong-Bok
    • Language and Information
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    • v.16 no.2
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    • pp.1-15
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    • 2012
  • In accounting for the so-called copy raising (CR) in English, the movement perspective has assumed that the embedded subject of the CR verb's sentential complement is raised to the matrix subject, leaving behind its pronominal copy. This kind of movement-based analysis raises both empirical and analytical issues, when considering variations in the pronominal copy constraint. This paper investigates the actual uses of the construction, using online-available corpora. Based on this corpus search, we classify two different types of copy raising predicates (genuine and perception), and discuss their grammatical properties in detail. We suggest that the simple copying rule couched upon movement operations is not enough to capture great variations in the uses of the construction, and show that interpretive constraints, e.g., perceptual characterization condition, play an important role in licensing the construction.

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Differential Search Algorithm for Economic Load Dispatch with Valve-Point Effects (Valve-Point 효과가 고려된 경제급전 문제에서의 DS알고리즘에 관한 연구)

  • Park, Si-Na;Choi, Byung-Ju;Kim, Kyu-Ho;Rhee, Sang-Bong
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.28 no.8
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    • pp.47-53
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    • 2014
  • This paper presents an Differential Search(DS) Algorithm for solving the economic load dispatch(ELD) problems with Valve-Point loading constraints. DS algorithm simulates the Brownian-like random-walk movement used by an organism to migrate. Numerical results on a test system consisting of 13 units show that the proposed approach is faster, more robust and powerful than conventional algorithms. Case studies show the simulation results are better than Lagrange method, the Hopfield neural networks and GA.

Comparision of Irregular Quadtree Decomposition with Full-search Block Matching for Synthesizing Intermediate Images

  • Kim, Kyung-Tae
    • Journal of the Optical Society of Korea
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    • v.8 no.3
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    • pp.108-114
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    • 2004
  • To allow multiple viewers to see the correct perspective and to provide a singh1 viewer with motion parallax cues during head movement, more than two views arc needed. Since it is prohibitive to acquire, process, and transmit a continuum of views, it. would preferable to acquire only a minimal set of views and to synthesize intermediate images. This paper presents how to synthesize the intermediate images using irregular quadtree decomposition and compares the proposed methods with full-search block matching. The image at the middle viewpoint between both viewpoints is synthesized and yields a 32.8 ㏈ peak-signal-to-noise ratio (PSNR) which is 2.8 ㏈ high and has a running time 30% of that for conventional full-search block matching.

Influence of Perceptual Information of Previewing Stimulus on the Target Search Process: An Eye-tracking Study (사전제시 자극의 지각적 정보가 목표자극 탐색에 미치는 영향: 안구추적연구)

  • Lee, Donghoon;Kim, Shinjung;Jeong, Myung Yung
    • Korean Journal of Cognitive Science
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    • v.25 no.3
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    • pp.211-232
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    • 2014
  • People search a certain object or a person so many time in a day. Besides the information about what the target is, perceptual information of the target can influence on the search process. In the current study, using an eye-tracker we aimed to examine whether the perceptual information of previewing target stimuli on the visual search process of the target and the task performance. Participants had to identify the previewing target stimulus presented in the middle of the screen, and then had to search the target among 8 items presented in a circle array, and had to decide whether the size of the target in the search display was same as that of the previewing stimulus. The experimental conditions were divided into 8 within-subject conditions by whether the search display was consisted of all the same size items or different size items (homogeneous search display vs. inhomogeneous search display), by the size of the preview target stimulus, and by the size of the target stimulus in the search display. Research hypothesis is that the size information of the previewing influence on the visual search process of the target and task performance when the items in the search display are in different sizes. In the results of behavioral data analysis, the reaction time showed the main effect of the search display, and the size of the target stimulus in the search display. and the interaction between the size consistency effect of target stimulus and the search display condition. In the results of analysis of eye-movement information, the Initial Saccade to Target Ratio measurement showed the interaction between the size consistency effect of target stimulus and the search display condition as the reaction time measurement did. That is, the size consistency effect of target stimulus only in the inhomogeneous search display condition indicated that participants searched the items in the same size as that of preview target stimulus. Post-hoc analyses revealed that the search and task performance in the inhomogeneous display condition were faster when the target size was consistent, but rather slower when the target size was inconsistent.

Revised Computational-GOMS Model for Drag Activity

  • Lee, Yong-Ho;Jeon, Young-Joo;Myung, Ro-Hae
    • Journal of the Ergonomics Society of Korea
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    • v.30 no.2
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    • pp.365-373
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    • 2011
  • The existing GOMS model overestimates the performance time of mouse activities because it describes them in a serial sequence. However, parallel movements of eye and hand(eye-hand coordination) have been dominant in mouse activities and this eye-hand coordination is the main factor for the overestimation of performance time. In this study, therefore, the revised CGOMSL model was developed to implement eye-hand coordination to the mouse activity to overcome one of the limitations of GOMS model, the lack of capability for parallel processing. The suggested revised CGOMSL model for drag activity, as an example for one of mouse activities in this study, begins visual search processing before a hand movement but ends the visual search processing with the hand movement in the same time. The results show that the revised CGOMSL model made the prediction of human performance more accurately than the existing GOMS model. In other words, one of the limitations of GOMS model, the incapability of parallel processing, could be overcome with the revised CGOMSL model so that the performance time should be more accurately predicted.

Development of a Multi-criteria Pedestrian Pathfinding Algorithm by Perceptron Learning

  • Yu, Kyeonah;Lee, Chojung;Cho, Inyoung
    • Journal of the Korea Society of Computer and Information
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    • v.22 no.12
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    • pp.49-54
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    • 2017
  • Pathfinding for pedestrians provided by various navigation programs is based on a shortest path search algorithm. There is no big difference in their guide results, which makes the path quality more important. Multiple criteria should be included in the search cost to calculate the path quality, which is called a multi-criteria pathfinding. In this paper we propose a user adaptive pathfinding algorithm in which the cost function for a multi-criteria pathfinding is defined as a weighted sum of multiple criteria and the weights are learned automatically by Perceptron learning. Weight learning is implemented in two ways: short-term weight learning that reflects weight changes in real time as the user moves and long-term weight learning that updates the weights by the average value of the entire path after completing the movement. We use the weight update method with momentum for long-term weight learning, so that learning speed is improved and the learned weight can be stabilized. The proposed method is implemented as an app and is applied to various movement situations. The results show that customized pathfinding based on user preference can be obtained.

Search for Movement Program for Recovery of Patient Using Cancer Center (암 센터 이용 환자의 회복을 위한 움직임 프로그램 탐색)

  • Jeon, Sang-Wan;Yi, Eun-Surk
    • Journal of the Korea Convergence Society
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    • v.9 no.9
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    • pp.353-362
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    • 2018
  • The purpose of this study is to suggest a professional consensus on the topics that should be dealt with importantly in the movement program for the recovery of cancer patients in Korea. As a result of calculating the importance of the finalized movement program component, First, the opinions about the environment for the promotion of movement were suggested as pleasant facilities, natural lighting, rest room space, facilities aspect of environment friendly space, education about diseases, participation programs, health feedback, information handouts. Second, the opinions on the purpose of the movement program were suggested to promote prevention and early screening of cancer, education, sharing effective treatment methods of cancer patients, cognitive aspect and psychological support for accurate information transmission, stress relief, and improvement of quality of life. Third, the opinions on the consideration of the movement program suggested stress relieving, cancer patient's needs, correct information delivery, quality of life, and participation of cancer patients. Fourth, the problems of the movement program were presented with different physical characteristics, physical inconvenience, the patient side of passive participation, space narrowness and lack, space aspect of program exclusive space etc.

Discriminant Analysis of Human's Implicit Intent based on Eyeball Movement (안구운동 기반의 사용자 묵시적 의도 판별 분석 모델)

  • Jang, Young-Min;Mallipeddi, Rammohan;Kim, Cheol-Su;Lee, Minho
    • Journal of the Institute of Electronics and Information Engineers
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    • v.50 no.6
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    • pp.212-220
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    • 2013
  • Recently, there has been tremendous increase in human-computer/machine interaction system, where the goal is to provide with an appropriate service to the user at the right time with minimal human inputs for human augmented cognition system. To develop an efficient human augmented cognition system based on human computer/machine interaction, it is important to interpret the user's implicit intention, which is vague, in addition to the explicit intention. According to cognitive visual-motor theory, human eye movements and pupillary responses are rich sources of information about human intention and behavior. In this paper, we propose a novel approach for the identification of human implicit visual search intention based on eye movement pattern and pupillary analysis such as pupil size, gradient of pupil size variation, fixation length/count for the area of interest. The proposed model identifies the human's implicit intention into three types such as navigational intent generation, informational intent generation, and informational intent disappearance. Navigational intent refers to the search to find something interesting in an input scene with no specific instructions, while informational intent refers to the search to find a particular target object at a specific location in the input scene. In the present study, based on the human eye movement pattern and pupillary analysis, we used a hierarchical support vector machine which can detect the transitions between the different implicit intents - navigational intent generation to informational intent generation and informational intent disappearance.

MMAD Computation for Fast Diamond-Search Algorithm (고속 다이아몬드 탐색 알고리즘을 위한 MMAD 연산법)

  • 서은주;김동우;한재혁;안재형
    • Journal of Korea Multimedia Society
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    • v.4 no.5
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    • pp.406-413
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    • 2001
  • Ordinary high-speed block matching algorithms have a disadvantage that they need to get MAD (Mean Absolute Distance) as many as the number of search points due to comparing the MAD between the current frame's search block and the reference frame's search block. To solve such disadvantage of high-speed block matching algorithm, the proposed high-speed DS algorithm employs a MMAD calculation method using a specific characteristic that neighboring pixels have almost same values. In this thesis, we can get rid of unnecessary MAD calculation between the search point block by the new calculation method which uses the previously calculated MAD as the current search point and by breaking from the established MAD calculation method which calculates the MAD of a new search point by each search stage. Comparing with the established high-speed block matching algorithm, this new calculation's estimated movement error was shown as similar, and th total calculation amount decreased by $2FN^2Ep$.

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