搜索结果: 1-10 共查到“计算机科学技术 Particle”相关记录10条 . 查询时间(0.046 秒)
Machine learning is everywhere. For example, it’s how Spotify gives you suggestions of what to listen to next or how Siri answers your questions. And it’s used in particle physics too, from theoretica...
2017年大数据BY&FOR高速成像和粒子跟踪研讨会（Workshop on Big Data BY&FOR High-Speed Imaging & Particle Tracking）
2017年 大数据BY&FOR高速成像和粒子跟踪 研讨会
2017/10/26
The future of instrument development necessitates sending out only indispensable information rather than raw data. The new framework of compressive sampling, together with automated data mining, prese...
Design of Non-Uniform Linear Array via Linear Programming and Particle Swarm Optimization and Studies on Phased Array Calibration
linear array linear programming particle swarm optimization side lobe level phased array calibration
2014/12/8
For a linear array, the excitation coefficients of each element and its geometry play an important role, because they will determine the radiation pattern of the given array. Side Lobe Level (SLL) is ...
COMPARISON OF PARTICLE SWARM OPTIMIZATION AND GENETIC ALGORITHM IN RATIONAL FUNCTION MODEL OPTIMIZATION
Rational Function Model (RFM) Particle Swarm Optimization (PSO) Genetic Algorithm (GA) Mathematical Modelling High Resolution Satellite Images (HRSIs)
2014/4/25
Rational Function Models (RFM) are one of the most considerable approaches for spatial information extraction from satellite images especially where there is no access to the sensor parameters. As the...
Asynchronous particle swarm optimization-based search with a multi-robot system: simulation and implementation on a real robotic system
Asynchronous particle optimization-based search a multi-robot system a real robotic system
2010/10/12
In this article we consider a version of the Particle Swarm Optimization (PSO) algorithm which is appropriate for search tasks of multi-agent systems consisting of small robots with limited sensing ca...
Particle Filter Data Fusion Enhancements for MEMS-IMU/GPS
Micro-Electro-Mechanical-System Particle Filter Data Fusion Extended Kalman Filtering
2013/1/29
This research aims at enhancing the accuracy of navigation systems by integrating GPS and Mi-cro-Electro-Mechanical-System (MEMS) based inertial measurement units (IMU). Because of the conditions re-q...
基于PSO与K-均值算法的农业超绿图像分割方法（Agriculture Extra-green Image Segmentation Based on Particle Swarm Optimization and K-means Clustering）
图像分割 微粒群算法 K均值算法
2009/9/11
为了解决K-均值算法对农业图像中常用的超绿特征2G—R—B图像分割效果不佳的缺点，提出一种基于微粒群与K均值算法的图像分割方法。先用K均值算法对图像进行快速分类，然后将分类结果作为其中一个微粒的结果，利用微粒群算法计算，最后用K-均值算法在新的分类基础上计算新的聚类中心，更新当前的位置，以得到最优的图像分割阈值。试验结果表明，改进算法对超绿特征2G—R—B图像能够准确分割目标，且对不同类型的农业超...
Dynamic Tracking of Lung Deformation during Breathing by Using Particle Method
Dynamic Tracking Lung Deformation Particle Method
2009/9/4
To reduce the side effects and to improve the efficiency of radiation therapy in lung cancer, a pinpoint radiation therapy system is under development. In the system, the movement of lung tumor during...
基于Particle Level Set的流体模拟与并行实现
拉普拉斯算子 规则格网 偏微分方程
2009/6/24
目前，在计算机动画领域，欧拉法与拉格朗日法是流体模拟的主要方法，但欧拉法的数值耗散较多，拉格朗日法构造表面几何复杂。因此，采用Particle Level Set方法，将欧拉法与拉格朗日法相结合，用半拉格朗日法求解对流项，保证计算稳定性，适合各种运动界面的流体。在模拟实现方面，使用并行处理方法，提高模拟速度，实现计算机动画的实时模拟。
Approximating Inference on Complex Motion Models Using Multi-model Particle Filter
Complex Motion Models Multi-model Particle Filter
2010/12/14
Due to its great ability of conquering clutters, which is especially useful for high-dimensional tracking problems, particle filter becomes popular in the visual tracking community. One remained diffi...