• 제목/요약/키워드: Counting Number

검색결과 528건 처리시간 0.028초

The Counting Processes that the Number of Events in [0,t] has Generalized Poisson Distribution

  • Park, Jeong-Hyun
    • Journal of the Korean Data and Information Science Society
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    • 제7권2호
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    • pp.273-281
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    • 1996
  • It is derived that conditions of counting process ($\{N(t){\mid}t\;{\geq}\;0\}$) in which the number of events in time interval [0, t] has a (n, n+1)-generalized Poisson distribution with parameters (${\theta}t,\;{\lambda}$) and a generalized inflated Poisson distribution with parameters (${\{\lambda}t,\;{\omega}\}$.

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가상의 기수계수버킷 정렬 (Virtual Radix Counting Bucket sort)

  • 이상운
    • 한국인터넷방송통신학회논문지
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    • 제15권6호
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    • pp.95-102
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    • 2015
  • 데이터를 정렬하는 방법들 중 O(nlogn)보다 빠른 방법은 알려져 있지 않고 있으며, 가장 빠른 방법으로 퀵정렬이 있으며, 이 정렬법은 n개의 데이터에 대해 최적과 평균의 경우 O(nlogn), 최악의 경우$O(n^2)$ 수행 복잡도를 갖고 있다. 본 논문에서는 리스트를 기수 숫자별로 빈도수를 계수하여 해당 가상 버킷에 저장하는 가상분할방법을 적용하였다. 또한 추가적인 메모리를 최소화시키기 위해 리스트 상에서 해당 버킷에 데이터들을 이동시키는 방법을 적용하였다. 제안된 알고리즘은 주어진 숫자의 자리수 k만큼 분할되며, 각 자리수에 대해 수행복잡도가 O(n)으로 O(kn) 알고리즘이다.

항법 기반 웨어러블 스마트 디바이스 동작 카운트 알고리즘 (Navigation based Motion Counting Algorithm for a Wearable Smart Device)

  • 박소영;이민수;송진우;박찬국
    • 제어로봇시스템학회논문지
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    • 제21권6호
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    • pp.547-552
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    • 2015
  • In this paper, an ARS-EKF based motion counting algorithm for repetitive exercises such as calisthenics is proposed using a smartwatch. Raw sensor signals from accelerometers and gyroscopes are widely used for conventional smartwatch counting algorithms based on pattern recognition. However, generated features from raw data are not intuitive to reflect the movement of motions. The proposed motion counter algorithm is composed of navigation based feature generation and counting with error correction. The candidate features for each activity are velocity and attitude calculated through an ARS-EKF algorithm. In order to select those features which reveal the characteristics of each motion, an exercise frame from the initial sensor frame is introduced. Counting processes are basically based on the zero crossing method, and misdetected counts are eliminated via simple classification algorithms considering the frequency of the counted motions. Experimental results show that the proposed algorithm efficiently and accurately counts the number of exercises.

미세 방전 가공에서의 방전 펄스 카운팅을 이용한 간극 제어 (Gap Control Using Discharge Pulse Counting in Micro-EDM)

  • 정재원;고석훈;정영훈;민병권;이상조
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2006년도 춘계학술대회 논문집
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    • pp.499-500
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    • 2006
  • The electrode wear in micro-EDM significantly deteriorates the machining accuracy. In this regard, electrode wear needs to be compensated in-process to improve the product quality. Therefore, there are substantial amount of research about electrode wear. In this study a control method for micro-EDM using discharge pulse counting is proposed. The method is based on the assumption that the removed workpiece volume is proportional to the number of discharge pulses, which is verified from experimental results analyzing geometrically machined volume according to various number of discharges. Especially, the method has an advantage that electrode wear does not need to be concerned. The proposed method is implemented to an actual micro-EDM system using high speed data acquisition board, simple counting algorithm with 3 axis motion system. As a result, it is demonstrated that the volume of hole machined by EDM drilling can be accurately estimated using the number of discharge pulses. In EDM milling process a micro groove without depth variation caused by electrode wear could be machined using the developed control method. Consequently, it is shown that machining accuracy in drilling and milling processes can be improved by using process control based on the number of discharge pulses.

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가우시안 혼합 모델과 모션 벡터를 이용한 객체 계수 방법 연구 (A Study on Object Counting by Mixture of Gaussian and Motion Vector)

  • 김규진;안태기;신정렬
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2011년도 춘계학술대회 논문집
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    • pp.1161-1166
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    • 2011
  • A camera is mounted vertically downwards viewing the people heads from the top. This configuration is successful in people counting technique especially when only a few isolated people pass through a counting region in a non-crowded situation. Thus, this paper describes object counting which detects and count moving people using mixture of gaussian and motion vector. This method is intended to estimates the number of people in outdoor environment. This method use single gaussian background modeling which is more robust an noise and has adaptiveness. The experimental results that is based on mixture of gaussian and motion vector is also helpful to design intelligent surveillance.

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색소 농도에 따른 형광 광자의 계수율 : 광자 검출기의 dead time 효과 (Fluorescence photon counting rate as a function of dye concentration: Effect of dead time of photon detector)

  • 고동섭
    • 한국광학회지
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    • 제8권4호
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    • pp.353-355
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    • 1997
  • 공초점 형광 현미경과 단일 광자 계수기로 구성되어 있는 단일 분자 검출장치를 사용하여, 색소 농도에 따른 광자 계수율의 변화를 관측하였다. 농도가 증가함에 따라 계수율이 포화하는 경향을 보였으며, 광검출기의 죽은 시간을 고려하여 측정 결과를 설명하였다. 계수율과 검출 부피, 광검출기의 양자효율, 입사 광량 사이의 관계를 나타내는 관계식을 제시하였다. 또한 신호대 잡음비에 대해서도 간략하게 논하였다.

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People Counting System using Raspberry Pi

  • Ansari, Md Israfil;Shim, Jaechang
    • Journal of Multimedia Information System
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    • 제4권4호
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    • pp.239-242
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    • 2017
  • This paper proposes a low-cost method for counting people based on blob detection and blob tracking. Here background subtraction is used to detected blob and then the blob is classified with its width and height to specify that the blob is a person. In this system we first define the area of entry and exit point in the video frame. The counting of people starts when midpoint of the people blob crosses the defined point. Finally, total number of people entry and exit from the place is displayed. Experiment result of this proposed system has high accuracy in real-time performance.

3D Visualization for Extremely Dark Scenes Using Merging Reconstruction and Maximum Likelihood Estimation

  • Lee, Jaehoon;Cho, Myungjin;Lee, Min-Chul
    • Journal of information and communication convergence engineering
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    • 제19권2호
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    • pp.102-107
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    • 2021
  • In this paper, we propose a new three-dimensional (3D) photon-counting integral imaging reconstruction method using a merging reconstruction process and maximum likelihood estimation (MLE). The conventional 3D photon-counting reconstruction method extracts photons from elemental images using a Poisson random process and estimates the scene using statistical methods such as MLE. However, it can reduce the photon levels because of an average overlapping calculation. Thus, it may not visualize 3D objects in severely low light environments. In addition, it may not generate high-quality reconstructed 3D images when the number of elemental images is insufficient. To solve these problems, we propose a new 3D photon-counting merging reconstruction method using MLE. It can visualize 3D objects without photon-level loss through a proposed overlapping calculation during the reconstruction process. We confirmed the image quality of our proposed method by performing optical experiments.

PN-PEMS 장비의 개발 및 평가 (Development and Performance Evaluation of PN-PEMS)

  • 황인규;김민호;우승철;이기형;안강호
    • 한국입자에어로졸학회지
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    • 제10권4호
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    • pp.163-167
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    • 2014
  • Particle number portable emission measurement system (PN-PEMS) is an instrument for measuring number concentration of automobile exhaust. The principle of some pre-existing commercial PN-PEMS is to charge particles and display the number of particles by measuring current. However, this method has some problems for measuring exhaust. In this study, to solve these issues, we have developed a single particle counting PN-PEMS based condensation particle counter (CPC). The PN-PEMS based CPC does not affect driving conditions and it is convenient for mobile because the instrument is small and light in structure. We evaluated counting efficiency of PN-PEMS based CPC by using electrostatic method (electrometer and Faraday cup).

이미지 분석 프로그램을 이용한 액적 내 세포 계수 방법 (Automated Bacterial Cell Counting Method in a Droplet Using ImageJ)

  • 김진경;김재성;이창수
    • Korean Chemical Engineering Research
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    • 제61권2호
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    • pp.247-257
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    • 2023
  • 본 연구에서는 이미지 분석 프로그램을 통해 액적 내 박테리아 세포의 개수를 측정하는 코딩-기반의 자동화된 세포 계수 방법을 제시하였다. 먼저, 형광 이미지 기반의 분석을 위하여, 형광단백질을 발현하는 균주를 담지한 액적을 형성하고 이를 광학 및 형광 현미경을 이용하여 분석 결과를 나타냈다. 액적의 관찰을 용이하게 위하여 유리 그리드에 도포하고, 촬영한 광학 이미지를 통해 분석하고자 하는 영역(Region of Interest)을 지정하였다. 동일한 위치에서 촬영한 형광 이미지에서 앞서 지정된 영역 속 특정 임계 값을 넘는 형광 신호를 계수하여 세포 수를 정량화 하였다. 또한 서로 다른 농도의 항생제를 처리한 액적 내 박테리아의 시간에 따른 세포 개수 변화의 차이를 추적하였다. 30분 간격으로 동일한 위치에서의 형광 이미지들을 동시에 분석함으로써 시간에 따른 세포 개수 변화를 도출하였고, 본 계수법의 성능을 실험적으로 검증하였다. 본 논문의 방법은 외부 분석 프로그램을 이용한 기존 방법 대비 분석 시간을 15배 가량 단축하고, 99%의 정확도를 보이는 것으로 확인되었다. 더 나아가 사용자의 연구의 방향에 맞춰 제시된 코드의 확장 수정을 통해 다양한 종류의 세포 계수 연구에 도움이 될 것으로 기대된다.