Description: 框架作为一种大粒度的重用技术在桌面软件开发中得到了广泛应用,而在嵌入式开发领域,目前还没有一套完整的标准框架可供使本文以通信领域的嵌入式软件开发为例,介绍使用C++语言,在ARM平台Nucleus plus操作系统下实现嵌入式开发框架EFC的方法和应用实例。 -Framework as a large particle size of the reuse technology in desktop software development has been widely applied, while in the field of embedded development, the current does not have a comprehensive standard framework to make this article available to the field of communications embedded software development as an example, introduce the use of C++ language, in the ARM platform, operating system under the Nucleus plus realize embedded development framework EFC methodology and application examples. Platform: |
Size: 63488 |
Author:sis |
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Description: PPIV is a parallel software application used in Particle Image Velocimetry (PIV) analysis. The software will compute the vector field for one image pair or multiple image pairs. PPIV can run on a single desktop machine or in a cluster environment. -PPIV is a parallel software application used in Particle Image Velocimetry (PIV) analysis. The software will compute the vector field for one image pair or multiple image pairs. PPIV can run on a single desktop machine or in a cluster environment. Platform: |
Size: 12288 |
Author:bailiu |
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Description: 带电粒子在电磁场中运动轨迹模拟程序,matlab语言开发,采用虚拟现实技术。-Charged particle trajectories in the electromagnetic field simulation program, matlab language development, the use of virtual reality technology. Platform: |
Size: 45056 |
Author:黄勇 |
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Description: 引入外场F为正负的时间各一半时,粒子流随F的变化关系-The introduction of field F plus or minus half the time of the particle flow with the changes in the relationship between F Platform: |
Size: 1024 |
Author:August |
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Description: 粒子滤波技术在非线性、非高斯系统表现出来的优越性,决定了它的应用范围非常广泛。另外,粒子滤波器的多模态处理能力,也是它应用广泛有原因之一。国际上,粒子滤波已被应用于各个领域。在经济学领域,它被应用在经济数据预测;在军事领域已经被应用于雷达跟踪空中飞行物,空对空、空对地的被动式跟踪;在交通管制领域它被应用在对车或人视频监控;它还用于机器人的全局定位。
-Particle filter technology in the non-linear, non-Gaussian system demonstrated the superiority of the decision of its wide range of applications. In addition, the particle filter for multimodal capabilities, also has one of the reasons it is widely used. Internationally, the particle filter has been applied to various fields. In economics, it is applied to forecast economic data in the military field have been applied to radar tracking aerial flying objects, air to air, air-passive tracking in the field of traffic control it was used in the car or the person video monitoring also used the global positioning robot. Platform: |
Size: 346112 |
Author:fanlianxiang |
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Description: a real-time 3D pointing gesture
recognition algorithm for natural human-robot interaction
(HRI). The recognition errors in previous pointing gesture
recognition algorithms are mainly caused by the low performance
of the hands tracking module and by the unreliability
of the direction estimate itself, therefore our proposed algorithm
uses 3D particle filter for achieving reliability in hand
tracking and cascade hidden Markov model (HMM) for a
robust estimate for the pointing direction. When someone
enters the field of view of the camera, his or her face and
two hands are located and tracked using the particle filters.
The first stage HMM takes the hand position estimate and
maps it to a more accurate position by modeling the kinematic
characteristics of finger pointing. Platform: |
Size: 4096 |
Author:ALI |
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Description: real-time 3D pointing gesture
recognition algorithm for natural human-robot interaction
(HRI). The recognition errors in previous pointing gesture
recognition algorithms are mainly caused by the low performance
of the hands tracking module and by the unreliability
of the direction estimate itself, therefore our proposed algorithm
uses 3D particle filter for achieving reliability in hand
tracking and cascade hidden Markov model (HMM) for a
robust estimate for the pointing direction. When someone
enters the field of view of the camera, his or her face and
two hands are located and tracked using the particle filters.
The first stage HMM takes the hand position estimate and
maps it to a more accurate position by modeling the kinematic
characteristics of finger pointing. Platform: |
Size: 1064960 |
Author:ALI |
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Description: 带电粒子在匀强磁场中的运动的研究,模型程序,及运行结果-Charged Particle in Uniform Magnetic Field Study of the movement, model procedures, and operating results Platform: |
Size: 1069056 |
Author:朱亚里 |
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Description: 微粒群优化算法(Particle Swarm Optimization,PSO算法)源于鸟群和鱼群群体运
动行为的研究,是一种新的群体智能优化算法,是演化计算领域中的一个新的分支。它
的主要特点是原理简单、参数少、收敛速度较快,所需领域知识少。该算法的出现引起
了学者们极大的关注,已在函数优化、神经网络训练、组合优化、机器人路径规划等领
域获得了广泛应用,并取得了较好的效果。尽管粒子群优化算法发展近十年,但无论是
理论分析还是实践应用都尚未成熟,有大量的问题值得研究。
-Particle swarm optimization (Particle Swarm Optimization, PSO algorithm) from groups of birds and fish movement behavior, is a new swarm intelligence algorithm, in the field of evolutionary computation is a new branch. Its main feature is simple in principle, few parameters, convergence is faster, less domain knowledge required. The algorithm brought the scholars are of great concern, has been in function optimization, neural network training, combinatorial optimization, robot path planning has been widely used applications, and achieved good results. Despite the development of particle swarm optimization nearly a decade, but both theory and practice applications are not yet mature, a large number of issues worth studying. Platform: |
Size: 602112 |
Author:赵 |
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Description: 总能量大于零、等于零、小于零时,质点在平方反比引力场中的运动轨迹-The total energy is greater than zero, zero, less than zero, the particle trajectory in the gravitational field in the inverse square Platform: |
Size: 1024 |
Author:rongdaliang |
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Description: Dev-C++平台下的模拟电子在电场中的运动仿真。可以作为系统仿真课程的典型案例学习不同数值积分方法对仿真的影响,同时也是数值计算中微分方程计算的一个入门案例。在此基础上,可以修改为复杂场中的粒子运动行为仿真,以及其它的微分方程方程组表述的复杂系统。比如动力学系统。-Dev-C++ simulation of analog electronic platform in the electric field of sports. Different numerical integration methods for simulation can be used as a typical case of system simulation curriculum learning is also an introductory case numerical differential equation computing calculations. On this basis, it is possible to modify the particle movement behavior in the complex field simulation, as well as other Differential Equations expressed in complex systems. Such as dynamical systems. Platform: |
Size: 1024 |
Author:cado |
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Description: 背囊优化问题主要用于解决如何使野外训练中背囊内物品价值最大化的研究。我们引入背包问题的基本模型,具体结合两种实际情况,分别应用贪婪算法以及粒子群算法,得出了满足约束条件的满意解。-Backpack optimization problem to solve how to maximize the value of items in the backpack field training. We introduce the basic model of the knapsack problem, the specific combination of both the actual situation, the greedy algorithm and particle swarm algorithm were applied and obtained satisfactory solution satisfy the constraints. Platform: |
Size: 145408 |
Author:茄子 |
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Description: 最新最实用的C++写的粒子滤波程序,用类写的,可以简单的调用,这个程序在数字图像处理中跟踪物体非常实用。-It is the latest particle filter program which is design for tracking objects in the image processing field. Platform: |
Size: 2354176 |
Author:liyulong |
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Description: This open source code to simulate particle in the presence of an E&B field with different boundary conditions. Platform: |
Size: 196608 |
Author:alihasan |
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Description: 本程序主要功能是模拟雪粒子的从天而降、雪粒子在降落过程中受风影响的飘落效果、雪粒子在船舶甲板表面积累的效果,其中算法包括粒子系统、boltzman三维风场算法、雪粒子表面积累算法等,本人亲自编写。-The main function of the program is simulated snow particles fall from the sky, falling snow particles in the landing process influenced by wind effect, the effect of the snow particles accumulated on the surface of the deck of the ship, which algorithms include particle system, Boltzman three-dimensional wind field algorithm, the surface of the snow particles accumulatedalgorithm, I personally prepared. Platform: |
Size: 9033728 |
Author:海波 |
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Description: 麦克斯韦-玻尔兹曼分布是一个概率分布,在物理学和化学中有应用。最常见的应用是统计力学的领域。任何(宏观)物理系统的温度都是组成该系统的分子和原子的运动的结果。这些粒子有一个不同速度的范围,而任何单个粒子的速度都因与其它粒子的碰撞而不断变化。然而,对于大量粒子来说,处于一个特定的速度范围的粒子所占的比例却几乎不变,如果系统处于或接近处于平衡。麦克斯韦-玻尔兹曼分布具体说明了这个比例,对于任何速度范围,作为系统的温度的函数。它以詹姆斯·克拉克·麦克斯韦和路德维希·玻尔兹曼命名。-Maxwell- Boltzmann distribution is a probability distribution, in physics and chemistry has applications. The most common application is the field of statistical mechanics. Any (macroscopic) physical systems are comprised in the system temperature molecular and atomic motion results. These particles have a different speed ranges, and any single particle velocity are due to collisions with other particles and constantly changing. However, the large number of particles, the specific speed in a range of the proportion of particles is almost constant, if the system is at or near equilibrium. Maxwell- Boltzmann distribution specifically illustrate this ratio, for any speed range, as a function of the temperature system. It James Clerk Maxwell and Ludwig Boltzmann named. Platform: |
Size: 2048 |
Author:严肃 |
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Description: 本代码是matlab程序,用于模拟带电粒子在电磁场中的相对论运动。利用Boris的差分格式求解相对论牛顿-洛伦兹方程。-This code treats with the problem that the motion of charged particle in electromagnitic field. The simulation method is solving the Relativity Newton-Lorentz equation. Boris has developed a computing method for this equation and we accept it in this code. Platform: |
Size: 881664 |
Author:jiaojinlong |
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Description: Particle in cell 方法的matlab代码,非常基础,算例是空间存在一带电平板情况下,等离子体的电场分布和离子密度分布。作为入门非常好。-Particle in cell method matlab code, very basic, there is a numerical example is charged under the flat space case, the electric field distribution of plasma and ion density distribution. As entry is very good. Platform: |
Size: 6144 |
Author:zhangzeming |
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Description: 本研究开发一种混合自动进化模糊学习算法
决定了最优路径旅行附近大规模旅行商问题
(LSTSPs)。LSTSPs识别解决方案是一种最复杂的主题
全球的组合优化问题。提出的混合进化模糊
学习计划的优点结合自适应模糊c均值(FCM),简单
不等式性质合并的概念,模拟退火(SA)算法和一种有效的学习
表transform-based粒子群优化(TPSO)。本研究使用
方法来处理大型TSP路由系统。
应用进化TPSO学习算法-This study develops a hybrid evolutionary fuzzy learning algorithm that automatically
determines the near optimal traveling path in large-scale traveling salesman problems
(LSTSPs). Identifying solutions for LSTSPs is one of the most complicated topics in the field
of global combinatorial optimization problems. The proposed hybrid evolutionary fuzzy
learning scheme combines the advantages of the adaptive fuzzy C-means (FCM), simple
MAX–MIN merging concept, simulated annealing (SA) learning algorithm and an efficient
table transform-based particle swarm optimization (TPSO). This study uses the proposed
method to deal with the large-size TSP routing system. Platform: |
Size: 1965056 |
Author:qi |
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