• Title/Summary/Keyword: Multi-target

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Track initiation for joint probabilistic data association filter (결합확률 데이타 연관 필터에서의 표적 초기화)

  • 김학용;박용환;황익호;서진헌
    • 제어로봇시스템학회:학술대회논문집
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    • 1992.10a
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    • pp.141-146
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    • 1992
  • Joint probabilistic data association filter(JPDAF) for multi-target tracking was developed for real-time implementation, while it abandoned an algorithm for track initiation. In this paper, we propose three features for track initiation that can be adapted to the JPDA filter. In addition, with the proposed approaches, the performance of track maintenance is evaluated in the case of tracks being near. To eliminate the abundant false tracks, we exploit the simple method using the state error covariances. Simulations are performed to demonstrate the efficiency of the proposed approaches.

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Optimal Blank Design for Sheet Metal Stamping (박판성형공정의 블랭크 최적설계)

  • 김용환
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 2000.04a
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    • pp.141-145
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    • 2000
  • A systematic method to find the optimal blank shape for sheet forming is proposed by coupling the numerical simulation technique. A weighted parameter was introduced in order to simplify the multi-variable optimization problem to a single-variable problem. The proposed method has been applied to the blank design of drawing processes to obtain the near-net shape within the required error bound after forming, Excellent results have been obtained between the numerical results and the target contour shapes. Through the investigation the proposed systematic method for optimal blank design is found to be effective in the practical forming processes

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Multi-target tracking using Particle Filtering and Hierarchical Boosting Algorithm (Particle Filtering과 계층적인 Boosting 알고리즘을 기반으로 한 다중 객체 추적 연구)

  • Yang, E-Hwa;Jeon, Moon-Gu
    • Proceedings of the Korean Information Science Society Conference
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    • 2012.06b
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    • pp.516-518
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    • 2012
  • 본 논문은 Particle Filtering과 계층적인 Boosting 알고리즘을 이용한 다중 객체 추적 기법을 제안한다. Particle Filtering을 이용하여 각 객체를 단일 객체로 추적하고 Boosting 기반의 데이터 연관 알고리즘을 사용하여 영상에서 움직이는 물체들을 추적한다. 본 제안한 알고리즘에서는 객체들의 이동경로 정확한 감지를 위해 Particle Filtering을 통해 각 객체가 움직이는 예측 정보를 이용하고, Boosting 알고리즘을 계측적인 형태로 설계함에 따라 데이터 물체의 추적 정확도를 높일 수 있도록 하였다.

Hierarchical Topology/parameter Evolution in Engineering Design

  • Seo Ki sung
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2005.04a
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    • pp.185-188
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    • 2005
  • This paper suggests a control method for efficient topology/parameter evolution in a bond-graph-based GP design framework that automatically synthesizes designs for multi-domain, lumped parameter dynamic systems, We adopt a hierarchical breeding control mechanism with fitness-level-dependent differences to obtain better balancing of topology/parameter search - biased toward topological changes at low fitness levels, and toward parameter changes at high fitness levels. As a testbed for this approach, an eigenvalue assignment problem, which is to find bond graph models exhibiting minimal distance errors from target sets of eigenvalues, was tested and showed improved performance for various sets of eigenvalues.

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A Study on the Development Process of Intrusion Detection Methods (침입탐지 기법의 발전과정에 관한 연구)

  • 김지숙;정유석;홍만표
    • Proceedings of the Korean Information Science Society Conference
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    • 2003.04a
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    • pp.410-412
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    • 2003
  • 공격이 다양해짐에 따라 침입탐지 기술기법에 관한 연구도 활발히 진행되고 있으나, 전반적인 연구 흐름에 관한 연구는 부족한 실정이다. 본 논문에서는 침입탐지 분야에서 오랜 기간 연구를 수행하여 대표적인 침입탐지시스템 프레임워크까지 제안한 세 그룹(SRI, UC Davis, Purdue)에서의 연구 내용을 분석했다. 그 결과 ‘The First IDS’. ‘Multi Target IDS’, ‘IDS Framework’, ‘IDS Framework Component and Application’의 4단계로 분류했으며, 이에 대한 각 그룹의 세부적인 연구 내용을 기술하고 각 기법들간의 발전 원인 및 전체적인 연구 방향을 살펴보고자 한다.

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Optimal Solution of Classification (Prediction) Problem

  • Mohammad S. Khrisat
    • International Journal of Computer Science & Network Security
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    • v.23 no.9
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    • pp.129-133
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    • 2023
  • Classification or prediction problem is how to solve it using a specific feature to obtain the predicted class. A wheat seeds specifications 4 3 classes of seeds will be used in a prediction process. A multi linear regression will be built, and a prediction error ratio will be calculated. To enhance the prediction ratio an ANN model will be built and trained. The obtained results will be examined to show how to make a prediction tool capable to compute a predicted class number very close to the target class number.

Recent results on IceCube multi-messenger astrophysics

  • Rott, Carsten
    • The Bulletin of The Korean Astronomical Society
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    • v.44 no.2
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    • pp.54.2-54.2
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    • 2019
  • Mass and radius of a neutron star in low-mass X-ray binary (LMXB) can be estimated simultaneously when the observed light curve and spectrum show the photospheric radius expansion feature. This method has been applied to 4U 1746-37 and the mass and radius were found to be unusually small in comparison with typical neutron stars. We re-estimate the mass and radius of this target by considering that the observed light curve and spectrum can be affected by other X-ray sources because this LMXB belongs to a very crowded globular cluster NGC 6441. The new estimation increases the mass and radius but they do not reach the typical values yet.

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Evaluation of the Contributions of Individual Finger Forces in Various Submaximal Grip Force Exertion Levels

  • Kong, Yong-Ku;Lee, Inseok;Lee, Juhee;Lee, Kyungsuk;Choi, Kyeong-Hee
    • Journal of the Ergonomics Society of Korea
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    • v.35 no.5
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    • pp.361-370
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    • 2016
  • Objective:The aim of this study is to evaluate contributions of individual finger forces associated with various levels of submaximal voluntary contraction tasks. Background: Although many researches for individual finger force have been conducted, most of the studies mainly focus on the maximal voluntary contraction. However, Information concerning individual finger forces during submaximal voluntary contraction is also very important for developing biomechanical models and for designing hand tools, work equipment, hand prostheses and robotic hands. Due to these reasons, studies on the contribution of individual finger force in submaximal grip force exertions should be fully considered. Method: A total of 60 healthy adults without any musculoskeletal disorders in the upper arms participated in this study. The young group (mean: 23.7 yrs) consisted of 30 healthy adults (15 males and 15 females), and the elderly group (mean: 75.2 yrs) was also composed of 30 participants (15 males and 15 females). A multi-Finger Force Measurement (MFFM) System developed by Kim and Kong (2008) was applied in order to measure total grip strength and individual finger forces. The participants were asked to exert a grip force attempting to minimize the difference between the target force and their exerted force for eight different target forces (5, 15, 25, 35, 45, 55, 65, and 75% MVCs). These target forces based on the maximum voluntary contraction, which were obtained from each participant, were randomly assigned in this study. Results: The contributions of middle and ring fingers to the total grip force represented an increasing trend as the target force level increased. On the other hand, the contributions of index and little fingers showed a decreasing trend as the target force level increased. In particular, Index finger exerted the largest contribution to the total grip force, followed by middle, ring and little fingers in the case of the smallest target force level (5% MVC), whereas middle finger showed the largest contribution, followed by ring, index and little fingers at the largest target force levels (65 and 75% MVCs). Conclusion: Each individual finger showed a different contribution pattern to the grip force exertion. As the target force level increase from 5 to 75% MVC, the contributions of middle and ring fingers showed an increasing trend, whereas the contributions of index and little fingers represented a decreasing trend in this study. Application: The results of this study can be useful information when designing robotic hands, hand tools and work equipment. Such information would be also useful when abnormal hand functions are evaluated.

A Ranging Algorithm for IR-UWB in Multi-Path Environment Using Gamma Distribution (IR-UWB의 다중경로 환경에서감마분포를 이용한 거리 추정 알고리즘)

  • Kim, Jin-Ho;Kim, Hyeong-Seok;Cho, Sung Ho
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38B no.2
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    • pp.146-153
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    • 2013
  • The IR-UWB radar system radiates a pulse whose width is several hundred pico sec at Tx antenna and check the time to receive the pulse that reflected from target to measure the TOA. In this paper, we present a new algorithm which supplement the conventional ranging algorithm for more accurate estimation. We get received signal data using IR-UWB Radar module which equipped a NVA6000 UWB Transceiver and analysis the data of multi-path. Consequently, we found the property of UWB multi-path signal, which best fit a Gamma distribution. so we present a algorithm using Gamma-distribution and compared a performance with conventional ranging algorithm.