• Title/Summary/Keyword: visual distance

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Study On the Visual Change of Boy and Girl Middle School Students -with first, second and third year students in middle school- (중학교 남녀학생의 시력변화에 대한 조사 연구 - 중학교 1.2.3 학년 중심 -)

  • Yoo, Jae Bok
    • Journal of the Korean Society of School Health
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    • v.4 no.2
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    • pp.159-175
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    • 1991
  • This study was carried out with 2,195 boy and girl middle school students in Inchon to examine environmental elements which may change vision and cause shortsightedness, and also to find out common knowledge of eye health. Its results are as follows. 1) As school year goes up, the normal eye sighted diminish but the visually handicapped regardless of left and right eyes increase. 2) Among weak sighted students below 0.9, boys are 42.2% and girls are 55.3%, the latter are larger by 13.1 %. Vision weakens rapidly especially for third year girl students. 3) Environmental, individual, everyday life elements which cause shortsightedness are studied, (1) environmental elements; illumination in watching TV and studying (2) individual elements; distance from TV and books, posture in studying (3) everyday life elements; hour of watching TV, hour of using game tools average, hour of studying 4) Knowledge of eye health is generally poor without regard to sex and wearing glasses. So adolescent students are in advance educated proper eye care to prevent shortsighted elements.

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Face Recognition using Regional Gabor Wavelet and Neural Networks (Gabor wavelet과 신경망의 영역별 적용을 통한 얼굴 인식)

  • 최용준;이상현;정종률;최병욱
    • Proceedings of the IEEK Conference
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    • 2003.07e
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    • pp.2020-2023
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    • 2003
  • In this paper, our proposed system uses the regional Gabor wavelet and Neural Network to implement face recognition similar to human face recognition system, because the Gator wavelet expresses visual recognition system of human mathematically and the regional Neural Network is robust to white noise and partial illumination. This system consists of two stages of building database and recognizing face. One is composed by using the supervised learning of Neural Network. At this time, the Neural Network is applied to the upper and the lower part of face images respectively. The Backpropagation algorithm is used to learn Neural Network. Another consists of calibration of slope of face image, measurement of illumination variant using deviation with average face image and similarity comparison using Euclidean distance measure.

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A Study on the Color of Apartment Building Outer Wall Effecting in Streetscape -Focused on Highrize Housing Complex in Gwangju- (고층집합주택 외벽 색채가 가로경관에 미치는 영향에 관한 연구 -광주광역시 고층정합주택단지를 중심으로-)

  • Park Sung-Jin;Ha Ju-A;Lee Cheong-Woong
    • Journal of the Korean housing association
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    • v.15 no.5
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    • pp.33-41
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    • 2004
  • This study examined the effect of the main color of apartment building as background color on the preference for residential streetscape in the relation with surrounding environment of streetscape with its focus on the color of apartment building outer wall. To research a visual evaluation structure, this study aimed to understand its characteristics through quantitative assay and to provide more scientific and specific data about improvement direction. The results suggested that the current brightness and chroma of main color of apartment building was high and low respectively which was advisable. On the other hand, in the color, when the components of the whole streetscape included buildings or soundproofing walls, a streetscape image needed to be improved though the color scheme of 4-distance color difference.

Minimization of Rack and Board Moving Distance of PCB Assembler using Neighboring Positioned Identical Components (동일부품 집단화현상을 이용한 PCB 자동조립기 랙과 기판의 이동거리 최소화)

  • Moon, Gee-Ju;Jung, Hyun-Chul
    • IE interfaces
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    • v.18 no.3
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    • pp.297-307
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    • 2005
  • PCB assembly is a complicated and difficult process to optimize due to the necessity of simultaneous consideration of component’s rack assignment and board mounting sequencing. An efficient PCB assembly method is developed by using neighboring positioned identical components information as well as quantity and size of the components. It is found that same type of components are located closely each other by checking real PCBs and interviewing with PCB designers in practice. Better performance of the developed procedure is obtained along with more number of total components and more number of neighboring positioned identical components cases. Simulation models are developed using Visual C++ for performance evaluation purposes of the suggested heuristic.

Object Recognition and Tracking using Histogram Through Successive Frames (연속적인 비디오 프레임에서의 히스토그램을 이용한 객체 인식 및 추적)

  • Park, Ho-Sik;Bae, Cheol-Soo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.3C
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    • pp.274-278
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    • 2009
  • Recently, the research which concerns the object class recognition has been done. Although an object tracking based on most of histograms employs a colored model to improve robustness, the system is not reliable enough yet. In this paper, we presents a method to express and track an object by using the histograms which are composed with visual features through successive frames. The experimental results shows that this method is reliable to track a car within 80m distance from camera.

A Study on Icongraphics and Minimalism in Design Expression (미니멀리즘적 디자인 표현과 아이콘그래픽스에 대한 고찰)

  • Chung, Jin Sook
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.8 no.2
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    • pp.105-116
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    • 2012
  • Minimalism combines the adjective 'minimal' and the suffix 'ism', and was first coined in the 1960s. Minimalism draws on the belief that when the use of artistic skills and adaptation is minimized and only the essentials or core is expressed, the discrepancy or distance between reality and art can be kept to a minimum; and thus, true reality can be achieved. To realize minimalism, artists creating paintings, sculptures and other forms of visual art eliminate unnecessary elements and strip objects to its essentials. And hence, most minimalist artwork used minimum amount of color and focused on expressing the geometric essence of objects. Such simplistic styles of minimalism can be seen today in various designs. Apple's iPod design and other product designs as well as graphic designs are just few of the examples. Drawing on the spirit of minimalism, Icongraphics pursues beauty and pleasure in the minimal use of color and form. And what lies beneath Icongraphics' artistic style is its pursuit of simplistic essentials, sending a strong message to the digitalized and complex lives of modern people.

Differential Game Based Air Combat Maneuver Generation Using Scoring Function Matrix

  • Park, Hyunju;Lee, Byung-Yoon;Tahk, Min-Jea;Yoo, Dong-Wan
    • International Journal of Aeronautical and Space Sciences
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    • v.17 no.2
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    • pp.204-213
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    • 2016
  • A differential game theory based approach is used to develop an automated maneuver generation algorithm for Within Visual Range (WVR) air-to-air combat of unmanned combat aerial vehicles (UCAVs). The algorithm follows hierarchical decisionmaking structure and performs scoring function matrix calculation based on differential game theory to find the optimal maneuvers against dynamic and challenging combat situation. The score, implying how much air superiority the UCAV has, is computed from the predicted relative geometry, relative distance and velocity of two aircrafts. Security strategy is applied at the decision-making step. Additionally, a barrier function is implemented to keep the airplanes above the altitude lower bound. To shorten the simulation time to make the algorithm more real-time, a moving horizon method is implemented. An F-16 pseudo 6-DOF model is used for realistic simulation. The combat maneuver generation algorithm is verified through three dimensional simulations.

Region Division for Large-scale Image Retrieval

  • Rao, Yunbo;Liu, Wei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.10
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    • pp.5197-5218
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    • 2019
  • Large-scale retrieval algorithm is problem for visual analyses applications, along its research track. In this paper, we propose a high-efficiency region division-based image retrieve approaches, which fuse low-level local color histogram feature and texture feature. A novel image region division is proposed to roughly mimic the location distribution of image color and deal with the color histogram failing to describe spatial information. Furthermore, for optimizing our region division retrieval method, an image descriptor combining local color histogram and Gabor texture features with reduced feature dimensions are developed. Moreover, we propose an extended Canberra distance method for images similarity measure to increase the fault-tolerant ability of the whole large-scale image retrieval. Extensive experimental results on several benchmark image retrieval databases validate the superiority of the proposed approaches over many recently proposed color-histogram-based and texture-feature-based algorithms.

HEAVY ELEMENT ABUNDANCES OF THE GALACTIC GLOBULAR CLUSTERS

  • Lee, See-Woo
    • Journal of The Korean Astronomical Society
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    • v.13 no.1
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    • pp.45-62
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    • 1980
  • Defining a metal parameter $(Sp)_c$, which is related to the morphological parameters of C-M diagrams, we have estimated metal abundances for 97 globular clusters in our Galaxy. A correlation between absolute magnitude of the horizontal branch and metal abundance is derived, which is used for the determining distances to globular clusters whose visual magnitudes of the horizontal branch are known. The space distribution of globular clusters and the chemical evolution of the halo are examined. Our analysis suggests an initial mean gradient of metallicity to be d[Fe/H]/$dr_G$ = -0.06 $kpc^{-1}$ for the halo in galactocentric distance, $r_G$<20 kpc. Our findings also imply a slow collapse of protogalaxy.

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Computational Integral Imaging Reconstruction of 3D Object Using a Depth Conversion Technique

  • Shin, Dong-Hak;Kim, Eun-Soo
    • Journal of the Optical Society of Korea
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    • v.12 no.3
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    • pp.131-135
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    • 2008
  • Computational integral imaging(CII) has the advantage of generating the volumetric information of the 3D scene without optical devices. However, the reconstruction process of CII requires increasingly larger sizes of reconstructed images and then the computational cost increases as the distance between the lenslet array and the reconstructed output plane increases. In this paper, to overcome this problem, we propose a novel CII method using a depth conversion technique. The proposed method can move a far 3D object near the lenslet array and reduce the computational cost dramatically. To show the usefulness of the proposed method, we carry out the preliminary experiment and its results are presented.