• 제목/요약/키워드: Depth Estimation

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단일주파수분석을 이용한 심폐소생술 흉부압박깊이 추정 (Estimation of Chest Compression Depth during Cardiopulmonary Resuscitation by using Single Frequency Analysis)

  • 유원상;강성민;최성욱
    • 대한의용생체공학회:의공학회지
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    • 제38권4호
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    • pp.211-217
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    • 2017
  • During the emergency situation such as cardiac arrest, cardiopulmonary resuscitation(CPR) is the most important treatment to maintain patient's blood circulation. Since the quality of CPR can not be easily measured or evaluated by the eye, an assistive device with an accelerometer can help to assess the pressure depth of CPR. In this study, we propose a single frequency analysis method to reduce the error of the accelerometer by extracting only one frequency component from the Fourier transform process. To verify the effectiveness of the single frequency analysis, acceleration data at CPR conditions were measured at a sampling rate of 50 / sec using a wristband equipped with an acceleration sensor. Then, We compared the existing distance estimation method and the single frequency analysis method using the measured data. The amplitude value proportional to the compression depth was obtained by applying the single frequency analysis method.

시추공자력계를 이용한 기초파일 근입심도 추정 (Borehole magnetics for the estimation of unknown foundation pile depth)

  • 조철현;정현기;조광호
    • 한국구조물진단유지관리공학회 논문집
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    • 제3권2호
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    • pp.161-167
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    • 1999
  • There is an increasing need for the estimation of foundation piles whose depths are unknown. Especially in repair and reinforcement works or in safety inspection and assessment to the big structures whose foundations are piles, the accurate information about the depth of foundation piles is one of the most important factors. A borehole magnetic tool has been developed and tested to meet this object. The fundamental base is that there usually exist many re-bars inside the foundation structure such as piles, and these re-bars are ferromagnetic materials which cause strong induced magnetic field comparable to the earth magnetic field. It utilizes flux-gate type magnetometer which measures 3-components of the magnetic field. Taking vertical derivatives of vertical component of the measured magnetic field, we can expect the error limit of estimating the depth of the pile end less than 20 cm in favorable condition. The maximum measurable distance is about 3 m to the pile from the borehole. The field data show that borehole magnetics is one of the most accurate, fast, and reliable methods for this object so far, as long as there is no magnetic materials such as deep located steel pipe or power cables close to the foundation piles.

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The Estimation of the Depth of Anesthetic Using Higher-Order Spectrum Analysis of EEG Signals

  • Park, Jong-Duk;Ye, Soo-Young;Jeon, Gye-Rok;Huh, Young
    • 대한의용생체공학회:의공학회지
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    • 제28권2호
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    • pp.287-293
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    • 2007
  • The researchers have studied for a long time about the depth of anesthesia but they don't make criteria for the depth of anesthesia. Anesthetists can't make a prediction about patient's reaction. Therefore, patients have potential risk such as poisonous side effect, late-awake, early-awake and strain reaction. In this study, the distributed characteristics on the bispectrum and bicoherence, the type of nonlinear signal processing, as a result of the coupling of EEG were presented according to depth of anesthesia. These results were consistent with a trend of delta ratio that the index of evaluation for the depth of anesthesia. The higher-order spectrum (HOS), the bispectrum and bicoherence, gives the useful information about depth of anaesthesia than other indexes.

능동 소나 체계에서의 표적 탐지거리 예측 알고리즘과 최적 탐지깊이 결정에의 응용 (Detection Range Estimation Algorithm for Active SONAR System and Application to the Determination of Optimal Search Depth)

  • 박재은;김재수
    • 한국해양공학회지
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    • 제8권1호
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    • pp.62-70
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    • 1994
  • In order to estimate the detection range of a active SONAR system, the SONAR equation is commonly used. In this paper, an algorithm to calculate detection range in active SONAR system as function of SONAR depth and target depth is presented. For given SONAR parameters and environment, the transmission loss and background level are found, signal excess is computed. Using log-normal distribution, signal excess is converted to detection probability at each range. Then, the detection range is obtained by integrating the detection probability as function of range for each depth. The proposed algorithm have been applied to the case of omni-directional source with center frequency 30Hz for summer and winter sound profiles. It is found that the optimal search depth is the source depth since the detection range increase at source depth where the signal excess is maximized.

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깊이 화면을 이용한 움직임 객체의 추적 방법 (Tracking Method for Moving Object Using Depth Picture)

  • 권순각;김흥준
    • 한국멀티미디어학회논문지
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    • 제19권4호
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    • pp.774-779
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    • 2016
  • The conventional methods using color signal for tracking the movement of the object require a lot of calculation and the performance is not accurate. In this paper, we propose a method to effectively track the moving objects using the depth information from a depth camera. First, it separates the background and the objects based on the depth difference in the depth of the screen. When an object is moved, the depth value of the object becomes blurred because of the phenomenon of Motion Blur. In order to solve the Motion Blur, we observe the changes in the characteristics of the object (the area of the object, the border length, the roundness, the actual size) by its velocity. The proposed algorithm was implemented in the simulation that was applied directly to the tracking of a golf ball. We can see that the estimated value of the proposed method is accurate enough to be very close to the actual measurement.

초음파를 이용한 콘크리트 시편의 피복두께 이하에 위치한 균열깊이 탐사 (Measurement of Crack Depth Located under Steel Reinforcement in Reinforced Concrete Specimens using Ultrasonic Method)

  • 임홍철;김연수;우상균;송영철
    • 한국구조물진단유지관리공학회 논문집
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    • 제6권4호
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    • pp.181-188
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    • 2002
  • The objective of this study is to determine crack depth located under steel reinforcement in concrete specimens using ultrasonic method. Experimental studies were performed on concrete specimens containing vertical and inclined surface-opening cracks with known depths. The other studies were carried out on specimens with flexural crack. Experimental results have shown that the crack depth is effectually measured when the distance between the probes is less than the crack depth. The effect of steel on crack depth estimation is studied through a model by considering P-waves diffaction at the tip of crack and steel. In addition, experimental results show that the ultrasonic method is one of useful methods to evaluate the crack depth in reinforced concrete.

깊이 화면의 평면 부호화를 위한 가변 블록 크기 결정 방법 (Method for Determining Variable-Block Size of Depth Picture for Plane Coding)

  • 권순각;이동석
    • 한국산업정보학회논문지
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    • 제22권3호
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    • pp.39-47
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    • 2017
  • 깊이 화면을 부호화함에 있어서 깊이 화면의 일부를 평면으로 추정하여 부호화하는 평면 부호화 모드를 적용할 수 있다. 본 논문에서는 평면 부호화 모드를 통한 깊이 영상 부호화에서 가변 블록 부호화를 위해 가변 블록 크기를 결정하는 방법을 제안한다. 깊이를 통해 블록 내 화소에 대해 제일 근접한 평면을 추정하는 방법을 통해 평면 부호화를 수행할 수 있다. 평면 부호화를 수행할 때, 가변 블록 부호화를 다음과 같이 적용할 수 있다. 먼저 최대 블록 크기에 대하여 추정 오차를 계산한 뒤 오차가 임계값 이하라면 해당 블록 크기가 선택 된다. 반면 오차가 임계값을 초과한다면 해당 블록이 분할되고 위 과정을 반복한다. 분할된 블록 크기가 최소 블록 크기 미만이 되면 해당 블록은 평면 부호화 모드로 선택되지 않는다. 제안된 방법을 실험한 결과, 부호화하여야 할 블록의 개수가 평면으로 이루어진 영상에서 고정 블록 크기를 이용한 방법에 비해 19%로 줄었다.

3차원 영상 생성을 위한 깊이맵 추정 및 중간시점 영상합성 방법 (Depth Estimation and Intermediate View Synthesis for Three-dimensional Video Generation)

  • 이상범;이천;호요성
    • 한국통신학회논문지
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    • 제34권10B호
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    • pp.1070-1075
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    • 2009
  • 본 논문에서는 3차원 영상 생성을 위한 깊이맵 추정 및 중간시점 영상합성 방법을 제안한다. 제안하는 방법은 깊이맵의 시간적 상관도를 향상시키기 위해 깊이값을 추정하는 과정에서 기존의 정합 함수에 이전 프레임에서 추정한 깊이값을 고려하는 가중치 함수를 추가한다. 또한, 중간시점 영상을 합성하는 과정에서 발생하는 경계 잡음을 제거하는 방법을 제안한다. 중간시점 영상을 합성할 때, 비폐색 영역을 합성한 후 경계 잡음이 발생할 수 있는 영역을 비폐색 (disocclusion) 영역을 따라 구별한 다음, 잡음이 없는 참조 영상을 이용하여 경계 잡음을 처리한다. 컴퓨터 모의실험 결과를 통해 깊이맵의 시간적 상관도를 향상시켜서 사용자의 시각적 피로감을 줄일 수 있었고, 배경 잡음이 사라진 자연스러운 중간시점 영상을 생성할 수 있었다.

레이저 표면경화공정에서 신경회로망을 이용한 경화층깊이의 측정 (Estimation of hardening depth using neural network in LASER surface hardening process)

  • 박영준;우현구;조형석;한유희
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1993년도 한국자동제어학술회의논문집(국내학술편); Seoul National University, Seoul; 20-22 Oct. 1993
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    • pp.212-217
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    • 1993
  • In this paper, the hardening depth in Laser surface hardening process is estimated using a multilayered neural network. Input data of the neural network are surface temperature of five points, power and travelling speed of Laser beam. A FDM(finite difference method) is used for modeling the Laser surface hardening process. This model is used to obtain the network's training data sample and to evaluate the performance of the neural network estimator. The simulational results showed that the proposed scheme can be used to estimate the hardening depth on real time.

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단일카메라기반의 로봇 위치추정 (Single Camera Based Robot Localization)

  • 이종호;안창환;박창우
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2008년도 하계종합학술대회
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    • pp.1173-1174
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    • 2008
  • In this paper, we propose a front-mounted single camera based depth estimation and robot localization method. The advantage of front-mounted camera is reduction of redundancy when the robot move. The robot computes depth information of captured image, moving around. And the robot location is corrected by depth information.

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