• Title/Summary/Keyword: Distance Information

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Distance Measurement Using a Single Camera with a Rotating Mirror

  • Kim Hyongsuk;Lin Chun-Shin;Song Jaehong;Chae Heesung
    • International Journal of Control, Automation, and Systems
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    • v.3 no.4
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    • pp.542-551
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    • 2005
  • A new distance measurement method with the use of a single camera and a rotating mirror is presented. A camera in front of a rotating mirror acquires a sequence of reflected images, from which distance information is extracted. The distance measurement is based on the idea that the corresponding pixel of an object point at a longer distance moves at a higher speed in a sequence of images in this type of system setting. Distance measurement based on such pixel movement is investigated. Like many other image-based techniques, this presented technique requires matching corresponding points in two images. To alleviate such difficulty, two kinds of techniques of image tracking through the sequence of images and the utilization of multiple sets of image frames are described. Precision improvement is possible and is one attractive merit. The presented approach with a rotating mirror is especially suitable for such multiple measurements. The imprecision caused by the physical limit could be improved through making several measurements and taking an average. In this paper, mathematics necessary for implementing the technique is derived and presented. Also, the error sensitivities of related parameters are analyzed. Experimental results using the real camera-mirror setup are reported.

Accuracy Improvement of Stereo-Based Distance Measurement for Close Range Vessel Positioning

  • Ogura, Tadashi;Mizuchi, Yoshiaki;Kim, Young-Bok;Choi, Yong-Woon
    • Journal of Power System Engineering
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    • v.19 no.2
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    • pp.27-32
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    • 2015
  • This paper describes a distance measurement system with high accuracy that utilizes a stereo-based camera and a pan-tilt unit for automatically maintaining the positional relationship between a vessel and a target on the side of a facility at a close range. The measurement system offers an advantage in that it can measure the distance to a target while tracking it. In order to improve the ability to control the position of a vessel between it and a target while maintaining the distance especially at a close range, the accuracy of the measurement system has to be improved. The accuracy of the distance measured by our system is increased with revisions of the conclusively generated data of distance measurement. We verified the accuracy of our system from an experiment, which generated results that had an accuracy of 30 mm for distances in the range between 2-8 m.

An Efficient Color Edge Detection Using the Mahalanobis Distance

  • Khongkraphan, Kittiya
    • Journal of Information Processing Systems
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    • v.10 no.4
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    • pp.589-601
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    • 2014
  • The performance of edge detection often relies on its ability to correctly determine the dissimilarities of connected pixels. For grayscale images, the dissimilarity of two pixels is estimated by a scalar difference of their intensities and for color images, this is done by using the vector difference (color distance) of the three-color components. The Euclidean distance in the RGB color space typically measures a color distance. However, the RGB space is not suitable for edge detection since its color components do not coincide with the information human perception uses to separate objects from backgrounds. In this paper, we propose a novel method for color edge detection by taking advantage of the HSV color space and the Mahalanobis distance. The HSV space models colors in a manner similar to human perception. The Mahalanobis distance independently considers the hue, saturation, and lightness and gives them different degrees of contribution for the measurement of color distances. Therefore, our method is robust against the change of lightness as compared to previous approaches. Furthermore, we will introduce a noise-resistant technique for determining image gradients. Various experiments on simulated and real-world images show that our approach outperforms several existing methods, especially when the images vary in lightness or are corrupted by noise.

Distance Extraction by Means of Photon-Counting Passive Sensing Combined with Integral Imaging

  • Yeom, Seok-Won;Woo, Yong-Hyen;Baek, Won-Woo
    • Journal of the Optical Society of Korea
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    • v.15 no.4
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    • pp.357-361
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    • 2011
  • Photon-counting sensing is a widely used technique for low-light-level imaging applications. This paper proposes a distance information extraction method with photon-counting passive sensing under low-lightlevel conditions. The photo-counting passive sensing combined with integral imaging generates a photon-limited elemental image array. Maximum-likelihood estimation (MLE) is used to reconstruct the photon-limited image at certain depth levels. The distance information is extracted at the depth level that minimizes the sum of the standard deviation of the corresponding photo-events in the elemental image array. Experimental and simulation results confirm that the proposed method can extract the distance information of the object under low-light-level conditions.

A Study on Fall Prevention System in Patient Bed

  • Cho, Youngseok
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.1
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    • pp.101-106
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    • 2019
  • In this paper, we investigate the patient fall prevention system to prevent the patient from falling out of the bed unintentionally on the bed of the bed. Patients stay in bed for many hours of hospitalization. During the hospitalization period, patients have low controllability of the body, as compared with normal persons, and fall due to intentional movements, resulting in a fall of the patient, can be a fatal threat to the patient. Therefore, an efficient fall prevention system is required. In this paper, the distance map to the patient is generated by the distance measuring sensor on the bed of the patient, and the risk is determined by estimating the position of the patient based on the distance map. As a result, when the distance map of the dangerous area is 150 mm or more, it is determined to be dangerous, and good results are obtained.

Fingerprint Minutia Matching Using Adaptive Distance (적응적 거리를 이용한 지문 정합 방법)

  • 이동재;김선주;이상준;김재희
    • Proceedings of the IEEK Conference
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    • 2000.11d
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    • pp.263-266
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    • 2000
  • We proposes a new fingerprint minutia matching algorithm which matches the fingerprint minutiae by using adaptive distance. In general, fingerprint is deformed by pressure and orientation when a user press his fingerprint to sensor. These nonlinear deformations change the distance between minutiae and reduce verification rate. We define the adaptive distance using ridge frequency. Adaptive distance normalizes the distance between minutiae and compensates for nonlinear deformation. Our algorithm can distinguish two different fingerprints better and is more robust. Experimental results show that the performance of the proposed algorithm is superior to using Euclidean distance.

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Group Management System for Virtual Class of Distance Education on the Information Superhighway (초고속망의 원격교육 서비스를 위한 가상클래스의 그룹 관리 시스템)

  • Park, Phan-Woo
    • Journal of The Korean Association of Information Education
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    • v.2 no.2
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    • pp.226-238
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    • 1998
  • I studied a group management model of virtual class for distance education system on the information superhighway. There are many objects and actions that need to be managed and controlled in virtual classes of a distance education model. Educators should be able to manage students' learning group and immediately be aware of who is attending and who is quitting the learning group in a virtual class. Also, students and educators in virtual classes can communicate and discuss various topics. I proposed a group management model for distance education on a network, and studied management algorithm and MIB (Management Information Base), which are required to manage virtual classes in distance education systems.

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A Novel Opportunistic Greedy Forwarding Scheme in Wireless Sensor Networks

  • Bae, Dong-Ju;Choi, Wook;Kwon, Jang-Woo;Choo, Hyun-Seung
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.4 no.5
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    • pp.753-775
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    • 2010
  • Greedy forwarding is a key mechanism of geographic routing using distance as a metric. As greedy forwarding only uses 1-hop neighbor node information, it minimizes routing overhead and is highly scalable. In existing greedy forwarding schemes, a node selects a next forwarding node based only on the distance. However, the signal strength in a realistic environment reduces exponentially depending on the distance, so that by considering only the distance, it may cause a large number of data packet retransmissions. To solve this problem, many greedy forwarding schemes have been proposed. However, they do not consider the unreliable and asymmetric characteristics of wireless links and thus cause the waste of limited battery resources due to the data packet retransmissions. In this paper, we propose a reliable and energy-efficient opportunistic greedy forwarding scheme for unreliable and asymmetric links (GF-UAL). In order to further improve the energy efficiency, GF-UAL opportunistically uses the path that is expected to have the minimum energy consumption among the 1-hop and 2-hop forwarding paths within the radio range. Comprehensive simulation results show that the packet delivery rate and energy efficiency increase up to about 17% and 18%, respectively, compared with the ones in PRR${\times}$Distance greedy forwarding.

The Use of Internet in Creating an Effective Distance Learning - Focused on Business Simulation Game - (인터넷을 이용한 효과적인 원격수업의 운영 - 경영모의게임을 중심으로 -)

  • Gim, Gwang-Yong
    • Asia pacific journal of information systems
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    • v.8 no.1
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    • pp.125-144
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    • 1998
  • This article describes the use of Internet as a means of operating the class which is business simulation game. The aims of investigation are to summarize the characteristics of distance learning using information technology, to find proper operating procedures for the internet class focusing on small group formation, to check the major factors affecting the teaching effectiveness, and to suggest the business simulation game as a proper distance learning class using internet.

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Wildlife Habitat Prediction Model based on Specialist's Experience - A Case Study of Daecheoncheon.Cheongradam - (전문조사원 경험에 의한 야생동물 서식지 예측모형 - 대천천.청라댐 유역을 대상으로 -)

  • Jang, Raeik;Lee, Myoun-Woo
    • Korean Journal of Environment and Ecology
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    • v.28 no.4
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    • pp.393-403
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    • 2014
  • The aim of this study was to use the information deduced from biotopemap in Boryeong, Chungnam province conducted in 2011 and to select the wildlife survey point. The information used for the study was deduced from the knowledge and experience of wildlife specialists and was realized by 6 environmental variables (Outside distance from food vegetation, Outside distance from farm land, Outside distance from forest, Human density, Outside distance from road, Outside distance from water). 6 environmental variables were modeled by map overlay method and the model could deduce the correlation of 94.72% as a result of comparing with occurrence information. The areas predicted to have many occurrences were rural landscapes, forests, and valleys, and they can be used to deduce the quality wildlife survey results in the limit of survey range (area, schedule, and budget). However, it had the limit points such as the inside of forests was excluded, all species did not prefer the same habitat. The following studies are needed for this part in the future.