• 제목/요약/키워드: Damage recognition

검색결과 281건 처리시간 0.029초

지문인식기술과 암호화된 QR코드를 이용한 안전한 신분증 연구 (A Study on Safe Identification Card Using Fingerprint Recognition and Encrypted QR)

  • 송충건;이근호
    • 디지털융복합연구
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    • 제12권6호
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    • pp.317-323
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    • 2014
  • 현재 국내에서 국민들을 식별하기 위해 사용되는 주민등록증은 지문정보를 구체적으로 표시하고 있어 도난당할 시 이를 활용한 2차 피해를 초례할 수 있다. 이러한 문제점을 해결하기 위해서는 식별정보에 기밀성을 유지하면서 비용측면의 만족해야하며, 현재 국가가 보유하고 있는 지문 DB를 활용할 수 있는 형태의 신분증이 요구되고 이다. 이러한 시점에서 암호화된 QR코드와 지문정보를 활용한 안전한 신분증 형태를 제안하고자 한다.

On-farm Tree Planting and Management Guidelines for Medium to High Potential Areas of Kenya

  • Makee, Luvanda A.
    • Journal of Forest and Environmental Science
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    • 제32권4호
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    • pp.392-399
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    • 2016
  • This review paper presents guidelines which stakeholders use in addressing on-farm tree planting configuration, establishment, tending, silvi- cultural management, management of pests and diseases, challenges and opportunities as practiced in the medium to high potential areas of Kenya. The tree planting configurations discussed includes blocks planting (woodlot), boundary, compound planting, home/fruit gardens, trees intercropped or mixed with pasture, trees on riverbanks and roadside. Participatory monitoring and evaluation techniques have been highlighted. The main challenges facing tree planting activities include culture and attitude of local people, land and tree tenure, inadequate technical support, lack of recognition and integration of technical information and indigenous knowledge, capital and labour shortages, lack of appropriate incentives measures, damage by domestic and wild animals, conflict over trees on the boundary and policy and legal issues. This guideline targets forest managers, extension agents, students and other practitioners in policy and day to day decision making processes in Kenya.

겹침과 훼손, 회전에 강건한 교통표지판 인식을 위한 SIFT 적용 방법 (Applying SIFT Feature to Occlusion, Damage and Rotation Invariant Traffic Sign Recognition)

  • 김상철;이제민;김대윤;낭종호
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2012년도 한국컴퓨터종합학술대회논문집 Vol.39 No.1(B)
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    • pp.351-353
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    • 2012
  • 교통 표지판은 도로 주행에 있어 분별력 있는 정보를 제공한다. 하지만 주행 중에 가로수나 다른 자동차에 의해 교통 표지판은 가려져 있거나 훼손된 경우가 많다. 또한 자동차가 커브할 때 카메라 영상에는 회전된 객체로 보이게 된다. 이런 경우에 교통 표지판의 인식이 어렵기 때문에 본 논문에서는 각 문제점에 모두 강건한 피처를 이용해 매칭하는 방법을 제안하였다. 본 논문에서 제안한 방법에 기반하여 주행 중 영상에서 보다 분별력 있는 정보를 획득하여 더 많은 응용 분야에 적용할 것으로 기대한다.

손상예방, 재난과 보건분야 준비와 대응 (Injury Prevention, Disaster and Public Health Preparedness and Response)

  • 정애숙
    • 보건행정학회지
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    • 제28권3호
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    • pp.308-314
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    • 2018
  • Injury is a serious problem that not only causes death but also significantly degrades the quality of life of the people and causes loss of socioeconomic opportunities and costs. Damage occurs as a result of an accident. Among them, natural disasters and artificial disasters take lives of many people in a short time and threaten their physical and mental health. The United States has responded to the disaster by establishing relevant laws and regulations and a response system with the recognition that health is recognised soon to be as national security in the wake of the 9/11 terrorist attacks and the Katrina disaster. It is necessary to build a knowledge infrastructure to train disaster response experts in public health area and to have health competence to cope with disasters.

Wideband Lamb wave analysis based on continuous wavelet transform

  • Shi, Lihua;Wang, Xinwei;Li, Gang;Zhang, Lingyan
    • Smart Structures and Systems
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    • 제1권3호
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    • pp.257-266
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    • 2005
  • In Lamb wave detection of damages in smart structures, the excitation pulse is usually designed as a narrow band burst wave for the convenience of analysis and recognition. However, the wideband excitation can excite more modes in plate/shell structure and thus provides extra information for changes of the structure. This paper presents a method that can extract information in wideband Lamb wave signals. By transforming the detected signals into various sub-frequency band, the measured signal can be converted to its equivalences of narrow band excitations, therefore, the information in different frequency bands can be acquired from a single test and in the same time the complicity of wideband signal can be simplified. Some test results are provided to verify this method.

Forklift 운전자의 계기판 인지성에 따른 Visual object의 layout과 위치에 관한 분석 (Analysis about visual object's layout and position by forklift driver's instrument cognitivity)

  • 정우근;박범
    • 대한안전경영과학회지
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    • 제7권5호
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    • pp.97-105
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    • 2005
  • Achievement degree can be improved by display offering more effective process about cognitive, pattern recognition than making observers use memory, integration, and cognitive process of control. And this research is proved by several scholars' researches [4][5][7][9]. In this study, researches was conducted about cognition according to layout of object in instrument panel. To decide layout of instrument panel, Cognition value was preferentially decided about all location. And then, objects are arranged to correct position of low cognition following the inferior procedure about each location. As a result, we get conclusion that gauge location is taken in high importance order through mechanical importance degree bringing huge damage during driving forklift-truck.

웨이브렛 변환과 편광 필터를 이용한 차량번호판 축출 (Vehicle Plate Extraction Using Wavelet Transform and Polarized Light Filter)

  • 김옥규;이창윤;황형덕;강혜진;박영식
    • 융합신호처리학회 학술대회논문집
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    • 한국신호처리시스템학회 2003년도 하계학술대회 논문집
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    • pp.102-105
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    • 2003
  • Up to the present studies of the car number recognition system, it is generally known to have serious problems such as relatively long processing time due to the excessive length of data extracted from the number plate based on the current image characteristics, and the image blurring with the physical damage of the brightness and darkness signals of the number plate caused by external impulses with many difficulties in the extraction of the highlighted numbers. In this Paper we used the characteristics firstly having a constant brightness of number plate, and a high density to the horizontal axis, and the influences of highlighted signal could be reduced by making reflections less through the polarized filter on the camera for any highlighted signal. For the more, the data processing time and the noise reduction are effectively implemented by using the wavelet transform of time-space scale with the considerations on the physical loss and processing time.

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위험질병 다발신경병증 (Critical Illness Polyneuropathy)

  • 이동국
    • Annals of Clinical Neurophysiology
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    • 제3권2호
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    • pp.115-121
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    • 2001
  • The occurrence of muscle weakness in patients with sepsis or multiple organ failure managed in the intensive care unit has been recognized with increasing frequency in the last two decades. The difficulty in examining critically ill patients may explain why this complication has been only recently recognized. This weakness is due to an axonal polyneuropathy which is called critical illness polyneuropathy(CIP). It must be differentiated from myopathy or neuromuscular junction disturbance that can also occur in the intensive care setting. Neither the cause nor the exact mechanism of CIP has been elucidated. Electrophysiological studies demonstrated an acute axonal damage of the peripheral nerves. Before the recognition of CIP, these cases were usually misdiagnosed as Guillain-$Barr{\acute{e}}$ syndrome. Clinical recovery from the neuropathy is rapid and nearly complete in those patients who survive. Thus, neuropathy acquired during critical illness, although causing a delayed in weaning from ventilatory support and hospital discharge, does not worsen long-term prognosis.

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오픈 소스 기반의 딥러닝을 이용한 적조생물 이미지 분류 (Red Tide Algea Image Classification using Deep Learning based Open Source)

  • 박선;김종원
    • 스마트미디어저널
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    • 제7권2호
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    • pp.34-39
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    • 2018
  • 국내 유해 적조발생에 따른 어패류 양식장에 지속적인 피해가 증가함에 따라서 적조에 대하여 많은 연구가 이루어지고 있다. 그러나 자동으로 적조 이미지를 인식하여서 유해적조생물을 판별하는 적조생물 이미지 검색에 대한 국내의 연구는 미흡한 실정에 있다. 본 논문은 오픈소스 기반의 딥러닝을 이용하여 적조생물 이미지를 분류할 수 있는 방법을 제안한다. 제안방법은 다양하게 표현되는 적조생물 이미지의 인식문제를 해결하기 위하여 텐서프로 프레임워크와 구굴 이미지 분류 모델을 이용하여 구현하였다.