• 한국컴퓨터정보학회논문지
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• 제11권6호
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• pp.279-287
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• 2006

이 논문은 스테레오 영상을 이용하여 응급상황을 인식하기 위하여 기절 동작을 인식하는 방법을 제안한다. 사람의 다양한 동작에서 학습과 인식에 필요한 영상 정보를 추출하기 위하여 3차원 정보를 사용하였고, 인식 알고리즘으로는 HMM을 이용하였다. 두 대의 카메라 영상에서 각각 배경을 생성한 다음에 배경 영상과 입력 영상의 차이를 이용하여 움직임 객체를 추출하였다. 그리고 움직임 객체를 포함하는 사각형을 생성한 다음 두 카메라의 캘리브레이션 정보를 이용하여 3차원 정보를 추출하였다. 3차원 공간상에서의 사각형의 너비와 높이의 변화량과 사각형 중심점 위치의 변화량 각각에 대하여 동작 인식률을 실험하였다. 실험 결과 너비와 높이의 특징 값을 이용하는 것보다 중심점의 3차원 위치 변화량을 이용하는 것이 높은 인식률을 보였다.

• 한국측량학회지
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• 제36권3호
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• pp.177-184
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• 2018

In case that limited resources can be mobilized, non-structural countermeasures such as 'monitoring using Information and Communication Technology might be one of solutions to mitigate disaster risks. Having established the monitoring system, operational and maintenance costs to maximize the effectiveness might trouble the authority concerned or duty attendant who is in charge. In this respect, "Guerrilla Sensor" would be very cost effective because of the inherent mobility characteristic. The sensor device with the IRIS camera and GPS (Global Positioning System) equipped, is basically battery-operated and communicates with WCDMA (Wideband Code Division Multiple Access). It has a strong advantage of capabilities for 'Disaster Response' with immediate and prompt action on the spot, making the best use of IoT (Internet of Things), especially with the mobile web. This paper will explain how the sensor system works in real-time GIS (Geographic Information System) pinpointing the exact location of the abnormal movement/ground displacement and notifying the registered users via SMS (Short Message Service). Real time monitoring with early warning and evaluation of current situations with LBS (Location Based Service), live image and data information can help to reduce the disaster impact. Installation of Guerrilla sensor for a real site application at Gimcheon, South Korea is also reported.

• 디지털산업정보학회논문지
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• 제11권3호
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• pp.99-112
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• 2015

Digital imaging technology has advanced beyond the limits of the multimedia industry IT convergence, and to develop a complex industry, particularly in the field of object recognition, face smart-phones associated with various Application technology are being actively researched. Recently, face recognition technology is evolving into an intelligent object recognition through image recognition technology, detection technology, the detection object recognition through image recognition processing techniques applied technology is applied to the IP camera through the 3D image object recognition technology Face Recognition been actively studied. In this paper, we first look at the essential human factor, technical factors and trends about the technology of the human object recognition based SPFACS(Smile Progress Facial Action Coding System)study measures the smile detection technology recognizes multi-faceted object recognition. Study Method: 1)Human cognitive skills necessary to analyze the 3D object imaging system was designed. 2)3D object recognition, face detection parameter identification and optimal measurement method using the AAM algorithm inside the proposals and 3)Face recognition objects (Face recognition Technology) to apply the result to the recognition of the person's teeth area detecting expression recognition demonstrated by the effect of extracting the feature points.

• 정보과학회 논문지
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• 제41권12호
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• pp.1152-1159
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• 2014

본 논문에서는 거주자의 생활환경 데이터를 실시간으로 수집하고 분석하여 응급상황이 발생하거나 이상 징후가 발견될 경우 적절한 조치를 통해 거주자의 안전을 보장하는 시스템에 대해 기술한다. 기존 시스템의 경우 주로 다양한 센서를 통해 수집되는 데이터를 이용하여 상황을 판단하지만 제안하는 시스템은 기존의 시스템에 카메라를 추가하여 가중치 차 영상과 거주자의 움직임 벡터 값을 통해 기존 시스템의 문제점을 보완하고자 한다. 기존 시스템의 경우 거주자에게 이상이 발생했다고 판단하기 까지 약 48시간 정도가 소요되지만, 제안 시스템의 경우 1시간 이내에 이상이 발생하였음을 인지할 수 있었다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2006년도 제37회 하계학술대회 논문집 A
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• pp.607-608
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• 2006

In recent, it became necessary to develop the technology about electrodeless fluorescent lamp according to demand of the electrodeless fluorescent lamp system that used higher efficiency and advantage of long lifetime. Inductively coupled plasma is commonly used for electrodeless lamp due to its ease of plasma generation. An electric power efficiency of electrodeless fluorescent lamp has big relative property of gas in lamp, gas pressure, lamp formation, ingredients of magnetic substance and shape and action frequency etc. We used magnetic substance that open self-examination material of electrodeless fluorescent lamp antenna. Ferrite that is used in this experiment was Mn-Zn type. We have examined temperature and flux characteristic by frequency. Considering using frequency 2.65[MHz], Frequency was changed from 2.05(MHz) to 3.05[MHz] to recognize flux and temperature change of lamp. I used LMS(Lighting Measurement System) to measure flux and IR Camera to measure temperature of lamp.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2006년도 제37회 하계학술대회 논문집 D
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• pp.2239-2240
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• 2006

In recent, it became necessary to develop the technology about electrodeless fluorescent lamp according to demand of the electrodeless fluorescent lamp system that used higher efficiency and advantage of long lifetime. Inductively coupled plasma is commonly used for electrodeless lamp due to its ease of plasma generation. An electric power efficiency of electrodeless fluorescent lamp has big relative property of gas in lamp, gas pressure, lamp formation, ingredients of magnetic substance and shape and action frequency etc. We used magnetic substance that open self-examination material of electrodeless fluorescent lamp antenna. Ferrite that is used in this experiment was Mn-Zn type. We have examined temperature and flux characteristic by frequency. Considering using frequency 2.65[MHz], Frequency was changed from 2.05[MHz] to 3.05[MHz] to recognize flux and temperature change of lamp. I used LMS(Lighting Measurement System) to measure flux and IR Camera to measure temperature of lamp.

• 한국해양공학회지
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• 제34권1호
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• pp.46-54
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• 2020

Oil spill accidents at sea result in a wide range of damages, including the destruction of ocean environments and ecosystems, as well as human illnesses by the generation of harmful gases caused by phase changes in crude oil. When an oil spill occurs, an immediate initial action should be performed to minimize the potential damage. Existing studies have attempted to identify crude oil spillage by calculating the crude oil spill range using synthetic aperture radar (SAR) satellite images. However, SAR cannot capture rapidly evolving events because of its low acquisition frequency. Herein, an algorithm for estimating an oil spill area from an image obtained using a digital camera is proposed. Noise that may occur in the image when it is captured is first eliminated by preprocessing, and then the image is analyzed. After analyzing the characteristics of the digital image, a strategy to binarize an image using the color, saturation, or lightness contained in it is adopted. It is found that the oil spill area can be readily estimated from a digital image, allowing for a faster analysis than any conventional method. The usefulness of the oil spill area measurement was confirmed by applying the developed algorithm to various oil spill images.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권5호
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• pp.1967-1983
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• 2020

The goal of this paper is to analyze and build an algorithm to recognize hand gestures applying to smart home applications. The proposed algorithm uses image processing techniques combing with artificial neural network (ANN) approaches to help users interact with computers by common gestures. We use five types of gestures, namely those for Stop, Forward, Backward, Turn Left, and Turn Right. Users will control devices through a camera connected to computers. The algorithm will analyze gestures and take actions to perform appropriate action according to users requests via their gestures. The results show that the average accuracy of proposal algorithm is 92.6 percent for images and more than 91 percent for video, which both satisfy performance requirements for real-world application, specifically for smart home services. The processing time is approximately 0.098 second with 10 frames/sec datasets. However, accuracy rate still depends on the number of training images (video) and their resolution.

• Nuclear Engineering and Technology
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• 제48권3호
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• pp.597-607
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• 2016

Personalized medicine is tailored medical treatment that targets the individual characteristics of each patient. Theragnosis, combining diagnosis and therapy, plays an important role in selecting appropriate patients. Noninvasive in vivo imaging can trace small molecules, antibodies, peptides, nanoparticles, and cells in the body. Recently, imaging methods have been able to reveal molecular events in cells and tissues. Molecular imaging is useful not only for clinical studies but also for developing new drugs and new treatment modalities. Preclinical and early clinical molecular imaging shows biodistribution, pharmacokinetics, mechanisms of action, and efficacy. When therapeutic materials are labeled using radioisotopes, nuclear imaging with positron emission tomography or gamma camera can be used to treat diseases and monitor therapy simultaneously. Such nuclear medicine technology is defined as radiation theragnosis. We review the current development of drugs and technology for radiation theragnosis using peptides, albumin, nanoparticles, and cells.

• 디지털산업정보학회논문지
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• 제12권4호
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• pp.1-12
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• 2016

Digital imaging technology has developed into a state-of-the-art IT convergence, composite industry beyond the limits of the multimedia industry, especially in the field of smart object recognition, face - Application developed various techniques have been actively studied in conjunction with the phone. Recently, face recognition technology through the object recognition technology and evolved into intelligent video detection recognition technology, image recognition technology object detection recognition process applies to skills through is applied to the IP camera, the image object recognition technology with face recognition and active research have. In this paper, we first propose the necessary technical elements of the human factor technology trends and look at the human object recognition based spFACS (Smile Progress Facial Action Coding System) for detecting smiles study plan of the image recognition technology recognizes objects. Study scheme 1). ASM algorithm. By suggesting ways to effectively evaluate psychological research skills through the image object 2). By applying the result via the face recognition object to the tooth area it is detected in accordance with the recognized facial expression recognition of a person demonstrated the effect of extracting the feature points.