• Title/Summary/Keyword: speed of objects

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Identification of Age Threshold for Driving Performance (운전능력에 연관된 인적특성의 연령 임계점 연구)

  • Kim, Tae-Ho;Ko, Joon-Ho;Won, Jai-Mu;Hu, Ec
    • Journal of the Korean Society of Safety
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    • v.23 no.3
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    • pp.71-78
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    • 2008
  • This study aims to identity the age group where driving performance significantly decreases based on the data collected from the Korea Transportation Safety Authority's driver aptitude tests in 2006. The test includes following six driving simulator-based tests: estimation of moving objects' speed, estimation of stopping distance, three tests for drivers' multi-task ability, and kinetic depth perception. These six test results were utilized for the identification of the age threshold applying the CART technique, suggesting driving ability significantly be decreased over 50s. This finding was confirmed by two analyses using the accident history data containing the information of accident and non-accident drivers and the degree of accident severity. The results of this study imply that accident prevention efforts should be enhanced over a wider range of age group than the current practice where the age of 65 is generally applied for the threshold dividing senior and non-senior driver groups.

A Study on Development of Integrated Management System for BIM Property Information (BIM 라이브러리 속성정보 통합관리 체계 개발에 관한 연구)

  • Shin, Jihye;Choi, Jungsik;Kim, Inhan;Yoon, Dooyoung
    • Korean Journal of Computational Design and Engineering
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    • v.21 no.2
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    • pp.130-142
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    • 2016
  • BIM library, as a systematic collection of BIM objects where the building information is stored, is a vital factor to construct the BIM based work environment. However, construction business is faced the problems relating BIM library such as the absence of the standard for establishing BIM library, the discontinuity of BIM library's compatibility and the lack of practice applicable BIM library. These problems cause the decreasing work efficiency and the recreating BIM model, by delivering inefficient information required in each stage and application field. The purpose of this study is to suggest the integrated management system for property information of BIM library in order to minimize the reworking and to manage information of each stage and application field when exchanging and sharing information. To achieve this, the BIM information classification, the criteria of property requirements for information exchange in BIM application field and the BIM library management system are developed. This study could contributes to ensuring the reliability and accuracy of results of BIM based analysis and to enhancing the speed of business process with sharing and exchanging building information utilizing a single BIM model.

Arbitrary Object Contour Extraction using Active Contour Model (Active Contour Model을 이용한 임의의 물체 윤곽선 추출)

  • 문창수;유봉길;오승재;정종필;전희정
    • Journal of the Korea Society of Computer and Information
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    • v.4 no.4
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    • pp.77-85
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    • 1999
  • In this paper. improved the formula of Kass. First of all, improved initial guess inside and outside of an object. So, prevent the of shrink, find more easily and faster the contour of object. Secondly, proposed the algorithm which moved to local minimum with the improvement of formula of the internal energy and $3{times}3$ matrix. Process the noise of local minimum with use of medial filtering. In third, process the phenomenon which edge points gather one point with imposing energy to the energy term. Improve the algorithm to find the contour precisely with the use of threshold. The result of these improvements, make an initial guess easily and find the contour of objects which have higher curvature. Improve the speed of process by reducing the repetition of feedback system.

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Analysis of the Effect of Deep-learning Super-resolution for Fragments Detection Performance Enhancement (파편 탐지 성능 향상을 위한 딥러닝 초해상도화 효과 분석)

  • Yuseok Lee
    • Journal of the Korea Institute of Military Science and Technology
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    • v.26 no.3
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    • pp.234-245
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    • 2023
  • The Arena Fragmentation Test(AFT) is designed to analyze warhead performance by measuring fragmentation data. In order to evaluate the results of the AFT, a set of AFT images are captured by high-speed cameras. To detect objects in the AFT image set, ResNet-50 based Faster R-CNN is used as a detection model. However, because of the low resolution of the AFT image set, a detection model has shown low performance. To enhance the performance of the detection model, Super-resolution(SR) methods are used to increase the AFT image set resolution. To this end, The Bicubic method and three SR models: ZSSR, EDSR, and SwinIR are used. The use of SR images results in an increase in the performance of the detection model. While the increase in the number of pixels representing a fragment flame in the AFT images improves the Recall performance of the detection model, the number of pixels representing noise also increases, leading to a slight decreases in Precision performance. Consequently, the F1 score is increased by up to 9 %, demonstrating the effectiveness of SR in enhancing the performance of the detection model.

Antiblurry Dejitter Image Stabilization Method of Fuzzy Video for Driving Recorders

  • Xiong, Jing-Ying;Dai, Ming;Zhao, Chun-Lei;Wang, Ruo-Qiu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.6
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    • pp.3086-3103
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    • 2017
  • Video images captured by vehicle cameras often contain blurry or dithering frames due to inadvertent motion from bumps in the road or by insufficient illumination during the morning or evening, which greatly reduces the perception of objects expression and recognition from the records. Therefore, a real-time electronic stabilization method to correct fuzzy video from driving recorders has been proposed. In the first stage of feature detection, a coarse-to-fine inspection policy and a scale nonlinear diffusion filter are proposed to provide more accurate keypoints. Second, a new antiblurry binary descriptor and a feature point selection strategy for unintentional estimation are proposed, which brought more discriminative power. In addition, a new evaluation criterion for affine region detectors is presented based on the percentage interval of repeatability. The experiments show that the proposed method exhibits improvement in detecting blurry corner points. Moreover, it improves the performance of the algorithm and guarantees high processing speed at the same time.

Super-Resolution Optical Fluctuation Imaging Using Speckle Illumination

  • Kim, Min-Kwan;Park, Chung-Hyun;Park, YongKeun;Cho, Yong-Hoon
    • Proceedings of the Korean Vacuum Society Conference
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    • 2014.02a
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    • pp.403.1-403.1
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    • 2014
  • In conventional far-field microscopy, two objects separated closer than approximately half of an emission wavelength cannot be resolved, because of the fundamental limitation known as Abbe's diffraction limit. During the last decade, several super-resolution methods have been developed to overcome the diffraction limit in optical imaging. Among them, super-resolution optical fluctuation imaging (SOFI) developed by Dertinger et al [1], employs the statistical analysis of temporal fluorescence fluctuations induced by blinking phenomena in fluorophores. SOFI is a simple and versatile method for super-resolution imaging. However, due to the uncontrollable blinking of fluorophores, there are some limitations to using SOFI for several applications, including the limitations of available blinking fluorophores for SOFI, a requirement of using a high-speed camera, and a low signal-to-noise ratio. To solve these limitations, we present a new approach combining SOFI with speckle pattern illumination to create illumination-induced optical fluctuation instead of blinking fluctuation of fluorophore.. This technique effectively overcome the limitations of the conventional SOFI since illumination-induced optical fluctuation is possible to control unlike blinking phenomena of fluorophore. And we present the sub-diffraction resolution image using SOFI with speckle illumination.

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Task Creation and Assignment based on Object Caching for Parallel Spatial Join (병렬공간 조인을 위한 객체 캐쉬 기반 태스크 생성 및 할당)

  • 서영덕;김진덕;홍봉희
    • Journal of KIISE:Software and Applications
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    • v.26 no.10
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    • pp.1178-1178
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    • 1999
  • A spatial join has the property that its execution time exponentially increases in proportion to the number of spatial objects. Recently, there have been many attempts for improving the performance of the spatial join by using parallel processing schemes, In the case of executing parallel spatial join using the parallel machine with shared disk architecture, the disk bottleneck of parallel processing of spatial join worsens in comparison with sequential spatial join. This paper presents the algorithms of task creation and assignment to reduce the disk bottleneck caused by accessing the shared disk at the same time, and to minimize message passing between processors, This paper proposes object caching which is a higher level of abstraction than page caching, and uses it to do creation and assignment of tasks according to temporal and spatial localities for minimizing disk access time. The object caching shows the performance improvement of 50%. The task creation and assignment using localities gives the gain of 30% and 20%. Overall performance evaluation of the proposed algorithms shows 7.2 times speed up than those of sequential execution of spatial joins.

Survey on 3D Surface Reconstruction

  • Khatamian, Alireza;Arabnia, Hamid R.
    • Journal of Information Processing Systems
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    • v.12 no.3
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    • pp.338-357
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    • 2016
  • The recent advent of increasingly affordable and powerful 3D scanning devices capable of capturing high resolution range data about real-world objects and environments has fueled research into effective 3D surface reconstruction techniques for rendering the raw point cloud data produced by many of these devices into a form that would make it usable in a variety of application domains. This paper, therefore, provides an overview of the existing literature on surface reconstruction from 3D point clouds. It explains some of the basic surface reconstruction concepts, describes the various factors used to evaluate surface reconstruction methods, highlights some commonly encountered issues in dealing with the raw 3D point cloud data and delineates the tradeoffs between data resolution/accuracy and processing speed. It also categorizes the various techniques for this task and briefly analyzes their empirical evaluation results demarcating their advantages and disadvantages. The paper concludes with a cross-comparison of methods which have been evaluated on the same benchmark data sets along with a discussion of the overall trends reported in the literature. The objective is to provide an overview of the state of the art on surface reconstruction from point cloud data in order to facilitate and inspire further research in this area.

A Numerical Analysis of the Supercavitating Flow around Three-Dimensional Axisymmetric Cavitators (3차원 축대칭 캐비테이터의 초월공동유동 수치해석)

  • Kim, Ji-Hye;Jang, Hyun-Gill;Ahn, Byoung-Kwon;Lee, Chang-Sup
    • Journal of the Society of Naval Architects of Korea
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    • v.50 no.3
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    • pp.160-166
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    • 2013
  • Recently submerged objects moving at high speed such as a supercavitating torpedo have been studied for their practical advantage of the dramatic drag reduction. In this study, we are focusing our attention on supercavitating flows around axisymmetric cavitators; a numerical method based on inviscid flow is developed and predicted supercavities around several shapes of 2D and 3D cavitators are presented. The results are validated by comparison of existing theoretical and empirical results. In addition, characteristic features of supercavity shapes and drag forces acting on a real scale torpedo are evaluated according to practically appropriate operating conditions.

Vision-based Ground Test for Active Debris Removal

  • Lim, Seong-Min;Kim, Hae-Dong;Seong, Jae-Dong
    • Journal of Astronomy and Space Sciences
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    • v.30 no.4
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    • pp.279-290
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    • 2013
  • Due to the continuous space development by mankind, the number of space objects including space debris in orbits around the Earth has increased, and accordingly, difficulties of space development and activities are expected in the near future. In this study, among the stages for space debris removal, the implementation of a vision-based approach technique for approaching space debris from a far-range rendezvous state to a proximity state, and the ground test performance results were described. For the vision-based object tracking, the CAM-shift algorithm with high speed and strong performance, and the Kalman filter were combined and utilized. For measuring the distance to a tracking object, a stereo camera was used. For the construction of a low-cost space environment simulation test bed, a sun simulator was used, and in the case of the platform for approaching, a two-dimensional mobile robot was used. The tracking status was examined while changing the position of the sun simulator, and the results indicated that the CAM-shift showed a tracking rate of about 87% and the relative distance could be measured down to 0.9 m. In addition, considerations for future space environment simulation tests were proposed.