• 제목/요약/키워드: Mobile image

검색결과 1,581건 처리시간 0.028초

A Study on the Cognitive Judgment of Pedestrian Risk Factors Using a Second-hand Mobile Phones (중고스마트폰 업사이클링을 통한 보행위험요인 인지판단 연구)

  • Chang, IlJoon;Jeong, Jongmo;Lee, Jaeduk;Ahn, Se-young
    • The Journal of the Korea Contents Association
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    • 제22권1호
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    • pp.274-282
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    • 2022
  • In order to secure pedestrians' right to walk, we have up-cycled second hand mobile phones to overcome limitations of the existing survey methods, analysis methods, and diagnosis to reduce pedestrian traffic accidents. Second hand mobile phones were up-cycled to produce mobile CCTVs and installed in areas where pedestrian deaths rate is high to secure image data sets for the period of more than 24 hours. It was analyzed by applying image visualization technology and clouding reporting technology, and more precise and accurate results were derived through modeling based on artificial intelligence learning and GIS-based diagnostic guidance. As a result, it was possible to analyze the risk factors and number of pedestrian safety, and even factors that were not known in the existing method could be derived. In addition, the traffic accident risk index was derived by converting data into one year to verify whether second hand mobile phone up-cycling mobile CCTV will be an objective tool for finding pedestrian risk factors. Up-cycling mobile CCTV of second hand mobile phones newly applied through research can be used as a new tool to find pedestrian risk factors, and it can be used as a service to protect the safety of the traffic vulnerable other than pedestrians.

Identification of Factors Affecting Errors of Velocity Calculation on Application of MLSPIV and Analysys of its Errors through Labortory Experiment (MLSPIV를 이용한 유속산정시 오차요인 규명 및 실내실험을 통한 유속산정오차 분석)

  • Kim, Young-Sung;Lee, Hyun-Seok
    • Journal of Korea Water Resources Association
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    • 제43권2호
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    • pp.153-165
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    • 2010
  • Large-Scale Particle Image Velocimetry (LSPIV) is an extension of particle image velocimetry (PIV) for measurement of flows spanning large areas in laboratory or field conditions. LSPIV is composed of six elements - seeding, illumination, recording, image transformation, image processing, postprocessing - based on PIV. Possible error elements at each step of Mobile LSPIV (MLSPIV), which is a mobile version of LSPIV, in field applications are identified and summarized the effect of the errors which were quantified in the previous studies. The total number of elemental errors is 27, and five error sources were evaluated previously, seven elemental errors are not effective to the current MLSPIV system. Among 15 elemental errors, four errors - sampling time, image resolution, tracer, and wind - are investigated through an experiment at a laboratory to figure out how those errors affect to velocity calculation. The analysis to figure out the effect of the number of images used for image processing on the velocity calculation error shows that if over 50 images or more are used, the error due to it goes below 1 %. The effect of the image resolution on velocity calculation was investigated through various image resolution using digital camera. Low resolution image set made 3 % of velocity calculation error comparing with high resolution image set as a reference. For the effect of tracers and wind, the wind effect on tracer is decreasing remarkably with increasing the flume bulk velocity. To minimize the velocity evaluation error due to wind, tracers with high specific gravity is favorable.

Mobile Robot Path Finding Using Invariant Landmarks

  • Sharma, Kajal
    • IEIE Transactions on Smart Processing and Computing
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    • 제5권3호
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    • pp.178-184
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    • 2016
  • This paper proposes a new path-finding scheme using viewpoint-invariant landmarks. The scheme introduces the concept of landmark detection in images captured with a vision sensor attached to a mobile robot, and provides landmark clues to determine a path. Experiment results show that the scheme efficiently detects landmarks with changes in scenes due to the robot's movement. The scheme accurately detects landmarks and reduces the overall landmark computation cost. The robot moves in the room to capture different images. It can efficiently detect landmarks in the room from different viewpoints of each scene. The outcome of the proposed scheme results in accurate and obstacle-free path estimation.

The improved implementation of web adaptation proxy for mobile environments (모바일 환경을 위한 개선된 웹 적합화 프록시 구현)

  • Kim, Won-Seop;Kim, Tae-Yong;Chai, Young-Joon
    • 한국HCI학회:학술대회논문집
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    • 한국HCI학회 2007년도 학술대회 1부
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    • pp.210-215
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    • 2007
  • 본 연구에서는 정보 손실을 최소화하고 웹 페이지 저작자의 의도를 보존하기 위하여 일반적인 웹페이지를 모바일 디바이스(주로 휴대전화)용 웹페이지로 적합화(adaptation)하는 프록시(proxy)를 제안한다. 분할된 이미지에 대한 변환 시 사용되는 경험적인 방법을 제안하고, 웹페이지 변환 시에 발생하는 문제점에 대해 프로세스적인 측면에서 개선된 방법 제시한다. 다른 연구 성과와의 비교 실험을 통하여 제안된 프록시의 성능과 정확도를 비교평가 한다.

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A 2.4-in QVGA p-Si LTPS AMLCD for Mobile Application

  • Chen, Yu-Cheng;Lin, Tai-Ming;Hsu, Tien-Chu
    • 한국정보디스플레이학회:학술대회논문집
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    • 한국정보디스플레이학회 2005년도 International Meeting on Information Displayvol.II
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    • pp.1029-1032
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    • 2005
  • A 262K-color QVGA LTPS AMLCD was developed. This panel has integrated gate driver and data multiplexer (1:3) by p_Si LTPS TFT process. The commercialized driver IC was adopted to implement this display. Fine image quality, low powerconsumption and cost-efficiency feature make the panel be suitable for mobile application.

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Visual Control of Mobile Robots Using Multisensor Fusion System

  • Kim, Jung-Ha;Sugisaka, Masanori
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.91.4-91
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    • 2001
  • In this paper, a development of the sensor fusion algorithm for a visual control of mobile robot is presented. The output data from the visual sensor include a time-lag due to the image processing computation. The sampling rate of the visual sensor is considerably low so that it should be used with other sensors to control fast motion. The main purpose of this paper is to develop a method which constitutes a sensor fusion system to give the optimal state estimates. The proposed sensor fusion system combines the visual sensor and inertial sensor using a modified Kalman filter. A kind of multi-rate Kalman filter which treats the slow sampling rate ...

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Aisle following of a mobile robot using machine vision (영상 정보를 이용한 로보트의 창법 연구)

  • 장무경;한민홍
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1990년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 26-27 Oct. 1990
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    • pp.591-595
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    • 1990
  • This paper describes a method of aisle following of a mobile robot using machine vision. As a navigation guide, Black strip painted on the lower part of wall of aisle is used. The offset of the vehicle position from the center of aisle and the heading angle are determined from the binary image of guide strip captured by a CCD camera. To remove the effect of noise. i.e. break of guide strip for the door or reflection of light, pixel sampling method together with consistency check of the incline for the sampled pixels is used.

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Design and Implementation of XHTML Printing Solution for Mobile Terminal (Mobile Terminal용 XHTML Printing Solution)

  • 류석;이광철;임은희
    • Proceedings of the Korean Information Science Society Conference
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    • 한국정보과학회 2004년도 가을 학술발표논문집 Vol.31 No.2 (3)
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    • pp.76-78
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    • 2004
  • 근래에 이르러 Digital Photo에 대한 사용자들의 수요가 늘어나면서 DSC이나 Camera Phone으로부터 Photo용 Printer로의 Printing Solution 개발에 대한 요구가 증가하고 있다. 2003년에 미국과 일본의 회사들이 이런 용도로 PictBridge를 개발하였다. 이것은 Image File의 전송에 대한 것인데, 최근에 이르러 양질의 프린팅 서비스 제공을 위하여 XHTML을 전송하는 방식에 대한 연구가 진행 중이다. 본 논문은 Pictsridge 상에 HXHTML script을 전송하는 방식에 대한 내용을 담고 있다.

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A Mold Search System based on Mobile using Image Data Mining (이미지 데이터 마이닝을 이용한 모바일 기반 금형 검색 시스템)

  • Cho, Jung-Hyun;Song, Je-O;Yoo, Jae-Soo
    • Proceedings of the Korea Contents Association Conference
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    • 한국콘텐츠학회 2018년도 춘계 종합학술대회 논문집
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    • pp.497-498
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    • 2018
  • 4차 산업혁명 시대의 도래에 따라, ICBM(IoT, Cloud, Big-data, Mobile) 기술이 핵심요소로 부각 되고 있으며, 그에 힘입어 부품 제조 산업분야에서도 Idustry4.0 등의 스마트팩토리 기술이 각광을 받고 있다. 본 논문에서는 금형의 설계도면 정보와 그림파일을 수집하여 데이터베이스로 구축하고 사용자가 필요로 하는 금형에 대한 이미지만으로 금형에 대한 정보를 검색하여 매칭시켜 줄 수 있는 모바일 기반의 시스템을 제안한다.

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