• Title/Summary/Keyword: visual model

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Development of a Simulator and Dynamic Modeling for Moving Capability estimation of Track Vehicle (궤도 차량의 기동성능 예측을 위한 동적 모델링 및 시뮬레이터 개발)

  • 김종수
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2000.04a
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    • pp.194-198
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    • 2000
  • In this paper, we developed a Windows 98 version off-line programming system which can simulate a track vehicle model in 3D graphics space. The track vehicle was adopted as an objective model. The interface between users and the off-line program system in the Windows 98' graphic user interface environment was also studied. The developing language is Microsoft Visual C++. Graphic libraries, OpenGL, by Silicon Graphics, Inc. were utilized for 3D graphics.

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Color Sorting of Apples by Surface Reflectance (표면 반사율에 의한 사과의 색상 선별)

  • Bae, Y.H.
    • Journal of Biosystems Engineering
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    • v.17 no.4
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    • pp.382-395
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    • 1992
  • The surface color of several varieties of apples were expressed quantitatively in xyz chromaticity coordinates. The spectral reflectance of 'Fuji' apples were measured in 400-820 nm range by using a spectrophotometer. Based on the spectrophotometer data and the result of visual sensory test, linear regression models were developed to select wavelengths effective for sorting apples. The models utilized reflectance at single wavelength, and the difference and ratio of the reflectance at two distinct wavelengths. The model which best fitted the visual sensory test data was one utilizing the ratio of the reflectance at 618 nm and 514nm. The correlation coefficient for this model was 0.967. Several other models were also described.

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Development of a Simulator and Dynamic Modeling for Moving Capability Estimation of Track Vehicle (궤도 차량의 기동성능 예측을 위한 동적 모델링 및 시뮬레이터 개발)

  • 김종수;한성현;김용태;이경식
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.305-305
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    • 2000
  • In this paper, we developed a Windows 98 version off-line programming system which can simulate a track vehicle model in 3D graphics space. The track vehicle was adopted as an objective model. The interface between users and the off-line program system in the Windows 98's graphic user interface environment was also studied. The developing language is Microsoft Visual C++. Graphic libraries, OpenGL, by Silicon Graphics, Inc. were utilized for 3D Graphics.

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Attitude toward the Website for Apparel Shopping (Part II): Structural Model Testing (의류 쇼핑 웹사이트 태도 형성 모델 연구 (제2보) -연구모형 및 연구가설의 검증-)

  • Hong Heesook
    • Journal of the Korean Society of Clothing and Textiles
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    • v.29 no.1 s.139
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    • pp.136-148
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    • 2005
  • The purpose of this study identifies how attributes of the website influences on consumer attitude toward the website. For this purpose, the study tested covariance structural model which set relationships among independent variables(interactivity, search and visual information of website), mediated variables(utilitarian shopping value and hedonic shopping value) and dependent variables(attitude toward website). The data were collected from a sample of 271 internet shopper of university students(male: 82, female: 189). They visited the website for apparel shopping and, after searching a casual clothing which they wanted to buy, requested to answer the questionnaire. The covariance structural model and research hypothesis analyzed by using AMOS 4.0 program. The results are as follows: First, the structural model is accepted significantly. Second, interactivity of the website has a positive impact on perceived utilitarian and hedonic shopping values of the website and visual information of the website also influence hedonic shopping value of the website positively. Third, utilitarian and hedonic shopping values have a positive influence on attitude toward the website for apparel shopping.

Deep Image Annotation and Classification by Fusing Multi-Modal Semantic Topics

  • Chen, YongHeng;Zhang, Fuquan;Zuo, WanLi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.1
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    • pp.392-412
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    • 2018
  • Due to the semantic gap problem across different modalities, automatically retrieval from multimedia information still faces a main challenge. It is desirable to provide an effective joint model to bridge the gap and organize the relationships between them. In this work, we develop a deep image annotation and classification by fusing multi-modal semantic topics (DAC_mmst) model, which has the capacity for finding visual and non-visual topics by jointly modeling the image and loosely related text for deep image annotation while simultaneously learning and predicting the class label. More specifically, DAC_mmst depends on a non-parametric Bayesian model for estimating the best number of visual topics that can perfectly explain the image. To evaluate the effectiveness of our proposed algorithm, we collect a real-world dataset to conduct various experiments. The experimental results show our proposed DAC_mmst performs favorably in perplexity, image annotation and classification accuracy, comparing to several state-of-the-art methods.

Estimating Neuro-Pathway from Visual and Somatosensory Evoked Potential (유발전위를 이용한 뇌의 시감각 및 체성감각 인지영역 추정기술)

  • 배병훈;김동우
    • Journal of Biomedical Engineering Research
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    • v.15 no.4
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    • pp.481-488
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    • 1994
  • In this paper a study of neuro-pathway estimation based on visual and somatosensory evoked potential is given. The evoked potentials which are caused by visual and somatosensory stimulation are detected by an average method. The forward problem that is estimating a scalp potential from a given electrical source in the brain is solved by using a triple concentric spherical shell model of the head and a single current dipole model of the neuron activity. The inverse problem which calculates a source position is solved by a least square fit between the model predicted potential and a given evoked potential measurement. The similarities between estimated sensory neuro-pathways and physiological brain function regions are verified.

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A Visual Weighting-Based Bit Allocation Algorithm for H.264 Scalable Extension(SE) (H.264 스케일러블 확장을 위한 시각적 가중치 기반 비트 할당 알고리즘)

  • Quan, Shan Guo;Ha, Ho-Jin
    • Journal of Korea Multimedia Society
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    • v.14 no.5
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    • pp.650-657
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    • 2011
  • This paper proposes a novel bit allocation algorithm for H.264 scalable extension(SE) based on a human visual system (HVS) to improve the coding efficiency. The proposed algorithm is consist of two stages: visual weighting model and visual weighting-based bit allocation algorithm. In the first stage, the visual weighting for each macroblock (MB) is analyzed according to the region of interests. Then the adaptation of the visual weighting into the bit allocation routine for each quality layer is performed for improving the visual quality. In the simulation results, it is observed that the proposed scheme can improve the subjective and objective video quality in the same bit rate, compared to the previous scalable video coding in H.264.

Visual Color Mixing Effect of Yarns in Textile Fabrics (직물을 구성하는 실의 시각적 혼색 효과)

  • Chae, Youngjoo
    • Journal of the Korean Society of Clothing and Textiles
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    • v.43 no.3
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    • pp.373-383
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    • 2019
  • This research investigated the effect of individual yarn colors on the perception of overall colors of yarn-dyed woven fabrics. The way the colors of yarn-dyed woven fabrics are perceived is known as visual color mixing: when the different colored yarns juxtaposed on the fabric surface are observed from some distance away, they are visually mixed in our eyes and perceived as a solid color. However, we can still see individual yarn colors that make the fabrics look obviously different from actual solid colors. To quantify this visual color mixing effect, twenty-one sateen fabrics were produced in a wide range of colors using cyan, magenta, and yellow yarns, and the colors were measured instrumentally. The obtained colorimetric values were converted into solid color images on a CRT monitor. Then, the physical fabrics were scanned, and the scanned images were displayed on the monitor with solid color images in pairs for visual color difference evaluation. The woven and solid colors in each pair were of physically identical color; however, the visual color difference was as large as $4.81{\Delta}{E^*}_{ab}$ on average. A visual color difference model was proposed by considering this parametric effect of individual yarn colors.

The Study on Functional State, Self Efficacy, and Life Satisfaction in the Elderly with Decreased Visual Acuity (시력저하노인의 기능상태, 자기효능감, 삶의 만족에 관한 연구)

  • Cha, Ki Jung;Eun, Young
    • Journal of muscle and joint health
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    • v.20 no.3
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    • pp.225-234
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    • 2013
  • Purpose: This purpose of study was to investigate the relationships among functional state, self-efficacy, and life satisfaction in the elderly with decreased visual acuity. Methods: The subjects were 162 elderly people from the G university hospital. Functional state was measured by Late-Life Function and Disability Instrument (LLFDI) and Minimum Data Set-Home Care version 2.0 (MDS HC 2.0). Self-efficacy and Life satisfaction were measured by the tool of Rho & Lee (2011) and Yoon (2007). Data were analyzed using t-test, ANOVA, Pearson's Correlation Coefficient, and logistic regression. Results: The daily life function was significantly associated with self-efficacy and vision decrease. The regression model with these two variables explained 35.6% of the variance of daily life function. IADL was significantly associated with vision decrease, age, gender, and self-efficacy. The regression model with the three variables explained 52.9% of the variance of IADL. Life satisfaction is significantly associated with self-efficacy, daily life function, vision decrease and IADL. The last regression model with the four variables explained 51.8% of the variance of life satisfaction. Conclusion: The levels of functional state, self-efficacy and life satisfaction in the elderly with decreased visual acuity were low. Self-efficacy was an important factor that influences on the functional state and life satisfaction. Therefore, nursing interventions that can enhance the self-efficacy are required in order to increase the functional state and life satisfaction in the elderly with decreased visual acuity.

Experimental Study on Underwater Docking of a Visual Servoing Autonomous Underwater Vehicle (비쥬얼 서보 자율무인잠수정의 수중 도킹에 관한 실험적 연구)

  • Lee, Pan-Mook;Jeon, Bong-Hwan;Lee, Ji-Hong;Kim, Sea-Moon;Hong, Young-Hwan
    • Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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    • 2003.05a
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    • pp.89-93
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    • 2003
  • The Korea Research Institute of Ships and Ocean Engineering (KRISO), the ocean engineering branch of KORDI, has designed and manufactured a model of an autonomous underwater vehicle (AUV) to test underwater docking. This paper introduces the AUV model, ASUM, equipped with a visual servo control system to dock into an underwater station with a camera and motion sensors. To make a visual servoing AUV, this paper implemented the visual servo control system designed with an augmented state equation, which was composed of the optical flow model of a camera and the equation of the AUV's motion. The system design and the hardware configuration of ASUM are presented in this paper. A small long baseline acoustic positioning system was developed to monitor and record the AUV's position for the experiment in the Ocean Engineering Basin of KRISO, KORDI. ASUM recognizes the target position by processing the captured image for the lights, which are installed around the end of the cone-type entrance of the duct. Unfortunately, experiments are not yet conducted when we write this article. The authors will present the results for the docking test of the AUV in near future.

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