• 제목/요약/키워드: Vision 21

검색결과 568건 처리시간 0.027초

정밀 화상계측법을 이용한 암반변위 계측시스템 (Rock Displacement Measurement System by Precise Vision Metrology)

  • 황재윤
    • 터널과지하공간
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    • 제21권6호
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    • pp.450-459
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    • 2011
  • 지하공간, 터널, 사면 등 암반구조물의 안정성 평가하기 위해서 필요한 것은 암반변위의 계측이다. 암반구조물의 계측은 아직도 줄자, 레벨 또는 토탈스테이션 등을 이용하는 계측 방법에 의존하고 있는 것이 일반적인 실정이다. 하지만 이러한 방법들은 많은 결점들을 가지고 있어 새로운 방법의 모색이 필요하다. 본 연구에서는 암반구조물에서의 정보화 설계시공의 계측기법으로 개발한 정밀 화상계측법을 이용한 암반변위 계측시스템을 제안하고, 건설 중에 있는 터널에 적용했다. 실제 건설 중에 있는 터널현장에 적용하여 계측결과를 비교 검토함으로써, 개발한 정밀 화상계측법을 이용한 암반변위 계측시스템의 유효성과 적용성에 대한 검증을 하였다.

군집 로봇의 동시적 위치 추정 및 지도 작성 (Simultaneous Localization and Mapping For Swarm Robot)

  • 문현수;신상근;주영훈
    • 한국지능시스템학회논문지
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    • 제21권3호
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    • pp.296-301
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    • 2011
  • 본 논문에서는 군집 로봇의 동시적 위치 추정 및 지도 작성 시스템을 제안하였다. 로봇은 실험환경에서 주변 환경을 인식하기 위해 초음파센서와 비젼 센서를 이용하였다. 실험환경을 3개의 영역으로 분할하였고, 로봇은 각 영역에서 초음파 센서로 주변 환경에 대한 거리 정보를 측정하였고, SURF 알고리즘을 이용하여 비젼 센서로부터 입력받은 영상과 landmark의 특징점을 정합하여 랜드마크를 인식하였다. 제안된 방법은 센서값들에 대한 오차에 민감하지 않고 실험환경에 비교적 정확한 지도를 작성함으로써 응용 가능성을 증명하였다.

노인의 감각장애와 기능상태에 관한 연구 (Effects of the Sensory Impairment on Functioning Levels of the Elderly)

  • 송미순
    • 대한간호학회지
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    • 제23권4호
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    • pp.678-693
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    • 1993
  • The purposes of this study were to describe the level of vision and hearing impairments, depression and functional capacity, among Korean institutionalized elderly and to examine the relation-ship between sensory impairments, depression, and functional capacity in these people. The final pupose was to test the cognitive function path model using sensory competencies as predictors. A convenience sample of thirty nine male and 90 female subjects with a mean age of 80.5 were the subjects of this study. The subjects were tested for cognitive function, and vision and hearing impairments. Physical function and social function were measured by observation of designated task performance by the subjects. Their level of de-pression was measured using a Geriatric Depression Scale administered through an interview. Individual subjective ratings of hearing and vision were marked by the subjects, on a ladder scale. The results of the study showed that 48.8% of the subjects had a hearing impairment, 63.5% had a vision impairement, and 36.4% had both a vision and hearing impairement. The four sensory groups (no sensory impairement, hearing impairement, vision impairement, hearing and vision impairement) were tested for differences in depression, physical function, social behavior and cognitive function. The only significant difference that was found was in cognitive function, between the no sensory impairement group and the hearing and vision impairement group(F=3.25, P<.05), Subjective ratings of hearing showed a significant correlation with cognitive function(r=.34, p<.001) and with social behavior(r=.31, p<.001). There was no correlation between subjective vision ratings and cognitive function or social behavior. However there was a significant correlation between vision and hearing(r=.49, p<.001). There was also a significant negative correlation between age and vision(r=-.21, p<.01) and between age and hear-ing(r=-.34, p<.001). There was a significant correlation between depression and physical function (r=-.32, p<.001) but there was no correlation between depression and cognitive function or social behavior. Based on the literature review and the result, this study, a path model of sensory competence-> cognitive function- >social behavior was developed and tested : Perceived vision and perceived hearing were the exogenous variahles and cognitive function and social behavior were the endogeneous variables in the model. The path analysis result demonstrated an accept-able fit (GFI=.997, AGFI=.972, X$^2$=.72 (p=.396), RMSR=.019) between the data and the model. There was a significant direct effect($\beta$=.38) of perceived hearing on cognitive function. There was a significant direct effect ($\beta$=.32) of cognitive function on social behavior. The total effect of hearing on social behavior was $\beta$=.32 including the indirect effect ($\beta$=.12) . However perceived vsion had little effect ($\beta$=-.08) on cognitive function. The result of path analysis confirms that hearing levels influence cognitive function, and both hearing and cognitive function levels influence social behavior. However, vision has little effect on cognitive function or on social behavior. For the next study, a combined model of the pre viously developed environment - >depression- > physical and social function model, and the present cognitive function model, should be tested to further refine the functional capacity model. There also a need for longitudinal study of functional capacity and sencory competence in order to better understand how declining sensory competence influences functional capacity and how it effects in-creasing dependency and nursing needs in the elderly.

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동적 교통 시스템의 인지공학적 평가에 관한 연구 (Cognitive Model-based Evaluation in Dynamic Traffic System)

  • 강명호;차우창
    • 대한인간공학회지
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    • 제21권3호
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    • pp.25-34
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    • 2002
  • The road sign in dynamic traffic system is an important element which affects on human cognitive performance on driving. Web-based vision system simulator was developed to examine the cognition time of the road sign in dynamic environment. This experiment the cognition time of the road sign in dynamic environment. This experiment was designed in with-subject design with two factors: vehicle speed and the amount of information of the traffic sign. It measured the cognition time of the road sign through two evaluation methods: the subjective test with vision system simulator and computational cognitive model. In these two evaluations of human cognitive performance under the dynamic traffic environment, it demonstrated that subject's cognition time was affected by both the amount of information of traffic sign and driving speed.

컨벌루션 신경망에서 활성 함수가 미치는 영상 분류 성능 비교 (Comparison of Image Classification Performance by Activation Functions in Convolutional Neural Networks)

  • 박성욱;김도연
    • 한국멀티미디어학회논문지
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    • 제21권10호
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    • pp.1142-1149
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    • 2018
  • Recently, computer vision application is increasing by using CNN which is one of the deep learning algorithms. However, CNN does not provide perfect classification performance due to gradient vanishing problem. Most of CNN algorithms use an activation function called ReLU to mitigate the gradient vanishing problem. In this study, four activation functions that can replace ReLU were applied to four different structural networks. Experimental results show that ReLU has the lowest performance in accuracy, loss rate, and speed of initial learning convergence from 20 experiments. It is concluded that the optimal activation function varied from network to network but the four activation functions were higher than ReLU.

Comparative study on displacement measurement sensors for high-speed railroad bridge

  • Cho, Soojin;Lee, Junhwa;Sim, Sung-Han
    • Smart Structures and Systems
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    • 제21권5호
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    • pp.637-652
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    • 2018
  • This paper presents a comparative study of displacement measurement using four sensors that are being used in the field: they are a ring gauge, a laser Doppler vibrometer (LDV), a vision-based displacement measurement system (VDMS), and an optoelectronic displacement meter (ODM). The comparative study was carried out on a brand-new high-speed railroad bridge designed to produce displacements within a couple of millimeters under the loading of a high-speed train. The tests were carried out on a single-span steel plate girder bridge two times with different train loadings: KTX and HEMU. The measured displacement is compared as raw and further discussion was made on the measurement noise, peak displacement, and frequency response of four sensors. The comparisonsare summarized to show the pros and cons of the used sensors in measuring displacement at a typical high-speed railroad bridge.

심해용 ROV를 위한 수중 원격 영상제어 시스템 개발 (Developed Ethernet based image control system for deep-sea ROV)

  • 김현희;정기민;박철수;이경창;황용연
    • 한국산업융합학회 논문집
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    • 제21권6호
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    • pp.389-394
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    • 2018
  • Remotely operated vehicle(ROV) and autonomous underwater vehicle(AUV) have been used for underwater surveys, underwater exploration, resource harvesting, offshore plant maintenance and repair, and underwater construction. It is hard for people to work in the deep sea. Therefore, we need a vision control system of underwater submersible that can replace human eyes. However, many people have difficulty in developing a deep-sea image control system due to the deep sea special environment such as high pressure, brine, waterproofing and communication. In this paper, we will develop an Ethernet based remote image control system that can control the image mounted on ROV.

Customer Activity Recognition System using Image Processing

  • Waqas, Maria;Nasir, Mauizah;Samdani, Adeel Hussain;Naz, Habiba;Tanveer, Maheen
    • International Journal of Computer Science & Network Security
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    • 제21권9호
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    • pp.63-66
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    • 2021
  • The technological advancement in computer vision has made system like grab-and-go grocery a reality. Now all the shoppers have to do now is to walk in grab the items and go out without having to wait in the long queues. This paper presents an intelligent retail environment system that is capable of monitoring and tracking customer's activity during shopping based on their interaction with the shelf. It aims to develop a system that is low cost, easy to mount and exhibit adequate performance in real environment.

원단 불량 검사기의 자동 마킹 시스템 개발 (Development of an Automatic Marking System for Fabric Inspection Machine)

  • 김재연;이재용
    • 한국기계가공학회지
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    • 제21권6호
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    • pp.22-29
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    • 2022
  • In this study, an automatic marking system for fabric inspection machines was developed. The main objectives of the study were to promote intelligence and automation for the inspection process, as well as to increase textile industrial productivity. Generally, when a worker manually inspects and marks a fabric, human error and reduced efficiency are unavoidable. To overcome these problems, we developed an automatic marking system that uses robots. This system incorporates a vision camera to automatically recognize defects, and an optical fiber sensor to detect the side of the fabric. To verify the performance, the control system sends a command directly to the robot to mark the fabric. Finally, the actual production confirmed that the proposed system could perform the desired motion.