基于TMS320DM642的MPEG-4编码软件优化设计

结合TI公司C64系列DSP芯片指令并行处理的特点,在自主开发的以TMS320DM642为核心的嵌入式MPEG-4视频监控平台上,通过对编码软件进行C语言级、线性汇编级的优化,实现了高效运行的MPEG-4算法,完成了系统对视频编码的实时性要求。     

基于TMS320DM642的MPEG-4编码软件优化设计

结合TI公司C64系列DSP芯片指令并行处理的特点,在自主开发的以TMS320DM642为核心的嵌入式MPEG-4视频监控平台上,通过对编码软件进行C语言级、线性汇编级的优化,实现了高效运行的MPEG-4算法,完成了系统对视频编码的实时性要求.     

ARM7平台实时MPEG-4解码系统的实现与优化

本文分析了ARM处理器的结构特点,介绍了在Freescale公司ARM7平台i. 250处理芯片上实现MPEG-4实时解码的策略,针对解码器的优化特点和芯片的硬件结构,采用了算法级、C语言级、ARM级联合优化的优化方法,对于标准MPEG-4解码过程进行了优化.实验结果表明,在采用该芯片的手机平台中,对于sub-QCIF大小的图像系统达到了平均约15fps的解码速度,成功实现了ARM7平台下的实时MPEG-4解码.该项目正与公司合作,具有优化后实时MPEG-4解码系统的低成本手机有望实现商业化.     

基于PXA255嵌入式平台的MPEG-4编码研究和实现

文章介绍了基于Xscale处理器(PXA255)的嵌入式开发平台上实现MPEG-4编码技术;整个系统分为视频信号采集、编码、存储、发送、PC机上解码验证;通过FS-PXA255I开发板上的USB接口实现视频信号的采集,利用PXA255处理器完成输入图像的MPEG-4软件编码;阐述系统总体结构和各部分功能特点,着重介绍MPEG-4编码部分在嵌入式系统上的编码算法。     

基于MAP-CA的MPEG-4视频编码系统

给出了基TMAP-CA的MPEG－4视频编码系统设计与实现，详细描述了MPEG-4编码系统在MAP-CA多媒体处理器上的实现过程及关键技术的优化处理。     

MPEG-4在无线视频通信中的应用研究

通过对无线视频通信和MPEG-4的特点分析,提出适合无线视频通信的MPEG-4SP级编解码框架,对影响MPEG-4编码速度的两项关键技术：运动估计和DCT变换进行编码优化,以提高编码速度,对优化结果进行了验证,为MPEG-4编码器在移动通信设备上的实现建立一个研究的基础平台。     

基于C6000系列DSP的MPEG-4编码器实现

介绍MPEG-4视频编码在C6000系列DSP上的软硬件实现。从DSP的超长指令字(VLIW)和流水线结构入手,讲述DSP的软件优化。实验证明,利用这两种结构设计程序可以使MPEG-4编码效率大大提高。     

嵌入式视频服务器的设计与实现

本文介绍了在ARM实验箱平台上自行开发的一种基于AT91RM9200的嵌入式视频服务器的设计方案。该系统以嵌入式Linux作为操作系统,采用MPEG-4的专用编码芯片对采集到的数字视频进行压缩编码,生成MPEG-4码流。MPEG-4码流经过AT91RM9200控制器外接的网络芯片被输送到PC机。PC机端通过内嵌MPEG-4解压插件的IE浏览器来播放视频和控制视频服务器的状态变化。     

MPEG-4视频解码模块的设计与优化

基于OMAP5910双核处理器设计了一个MPEG-4视频解码模块，对其进行了优化，使之具有实时解码处理的能力。介绍了MPEG-4简单框架的解码过程以及在DSP平台上代码优化过程的重点部分。算法的编写符合TI XDIAS算法标准，通用于C5000系列的DSP平台。该解码过程与优化方法对视频处理以及在OMAP平台开发其他应用有借鉴价值。     

MPEG-2/4 AAC 音频编码模块的验证

先进音频编码(Advanced Audio Coding,AAC)以其多声道、多采样率、高压缩比、音质好等特点被广泛使用.文中首先介绍了 MPEG-2/4 AAC 音频编码技术;接着基于 MPEG-2/4 AAC 音频编码原理,开发了时钟复位、寄存器配置和音频数据收发的 BFM 模型,搭建了音频编码模块的 RTL 级虚拟验证平台,同时归纳了验证项;最后基于此验证平台和验证项,对设计进行了全面的仿真验证.实践证明该验证方法效率高、收敛快、覆盖率高,取得了较好的效果,为后续的 FPGA平台验证和芯片应用提供了有力的保证.     

A code compression system based on pipelined interpreters

This paper describes a system for compressed code generation. The code of applications is partioned into time‐critical and non‐time‐critical code. Critical code is compiled to native code, and non‐critical code is compiled to a very dense virtual instruction set which is executed on a highly optimized interpreter. The system employs dictionary‐based compression by means of superinstructions which correspond to patterns of frequently used base instructions. The code compression system is designed for the Philips TriMedia VLIW processor. The interpreter is pipelined to achieve a high interpretation speed. The pipeline consists of three stages: fetch, decode, and execute. While one instruction is being executed, the next instruction is decoded, and the next one after that is fetched from memory. On a TriMedia VLIW with a load latency of three cycles and a jump latency of four cycles, the interpreter achieves a peak performance of four cycles per instruction and a sustained performance of 6.27 cycles per instruction. Experiments are described that demonstrate the compression quality of the system and the execution speed of the pipelined interpreter; these were found to be about five times more compact than native TriMedia code and a slowdown of about eight times, respectively. Copyright © 1999 John Wiley & Sons, Ltd.     

基于TriMedia处理器的嵌入式PCI网卡的设计与分析

力图通过一个实例来说明如何开发基于TriMedia数字信号处理器的嵌入式网卡驱动程序，并提出了一种在pSoSystem操作系统下开发设备驱动程序的通用方法。     

Artificial intelligence based optimization for vibration energy harvesting applications

This paper deals with optimization studies based on artificial intelligence methods. These modern optimization methods can be very useful for design improving of an electromagnetic vibration energy harvester. The vibration energy harvester is a complex mechatronic device which harvests electrical energy from ambient mechanical vibrations. The harvester design consists of a precise mechanical resonator, electromagnetic converter and electronics. The optimization study of such complex mechatronic device is complicated however artificial intelligence methods can be used for set up of optimal harvester parameters. Used optimization strategies are applied to optimize the design of the electro-magnetic vibration energy harvester according to multi-objective fitness functions. Optimization results of the harvester are summarized in this paper. Presented optimization algorithms can be used for a design of new energy harvesting systems or for improving on existing energy harvesting systems.     

Performance optimization of gas turbine engine

Performance optimization of a gas turbine engine can be expressed in terms of minimizing fuel consumption while maintaining nominal thrust output, maximizing thrust for the same fuel consumption and minimizing turbine blade temperature. Additional control layers are used to improve engine performance. This paper presents an evolutionary approach called the StudGA as the optimization framework to design for optimal performance in terms of the three criteria above. This approach converges fast and can potentially save on computing cost. Model-based experimental results are used to illustrate this approach.     

基于改进遗传算法的电力系统无功优化的研究

电力系统无功优化问题是一个多变量、多约束的混合非线性规划问题,其操作变量既有连续变量又有离散变量,其优化过程比较复杂。遗传算法是模拟生物在自然环境中的遗传和进化过程而形成的一种自适应的全局优化搜索算法,可用于解决含有离散变量的复杂优化问题。本文选用遗传算法求解电力系统无功优化问题,并对基本遗传算法的编码、初始种群、适应度函数和交叉、变异策略等进行改进,使用本文提出的改进算法对IEEE1 4节点进行无功优化计算,结果证明本文模型和算法的实用性、可靠性和优越性。     

Online Optimization in Power Systems With High Penetration of Renewable Generation: Advances and Prospects

Traditionally, offline optimization of power systems is acceptable due to the largely predictable loads and reliable generation. The increasing penetration of fluctuating renewable generation and internet-of-things devices allowing for fine-grained controllability of loads have led to the diminishing applicability of offline optimization in the power systems domain, and have redirected attention to online optimization methods. However, online optimization is a broad topic that can be applied in and motivated by different settings, operated on different time scales, and built on different theoretical foundations. This paper reviews the various types of online optimization techniques used in the power systems domain and aims to make clear the distinction between the most common techniques used. In particular, we introduce and compare four distinct techniques used covering the breadth of online optimization techniques used in the power systems domain, i.e., optimization-guided dynamic control, feedback optimization for single-period problems, Lyapunov-based optimization, and online convex optimization techniques for multi-period problems. Lastly, we recommend some potential future directions for online optimization in the power systems domain.      

High speed ant colony optimization CMOS chip

Ant colony optimization (ACO) is an optimization computation inspired by the study of the ant colonies’ behavior. This paper presents design and CMOS implementation of the ant colony optimization based algorithm for solving the TSP problem. In order to implement ant colony optimization algorithm in CMOS, we will present a new algorithm. This algorithm is based on the original ant colony optimization but it can be implemented in CMOS. Briefly, pheromone matrix is transformed on the chip area and ants move up-down through the pheromone matrix and they make their decisions. Finally ants select a global path. In previous researches only pheromone values is used, but select the next city in this paper is based on heuristics value and pheromone value. In definition of problem, we use heuristics value as a matrix. Previous researches could not be used for wide type of optimization problem but our chip gives heuristics value initially and we can change initial value of heuristics value according to the optimization problem so this capability increases the flexibility of ACO chip. Simple circuit is used in blocks of our chip to increase the speed of convergence of ACO chip. We use Linear Feedback Shift Register (LSFR) circuit for random number generator in ACO chip. ACO chip has capability of solving the big TSP problem. ACO chip is simulated by HSPICE software and simulation results show the good performance of final chip.     

Nonlinear model predictive control using deterministic global optimization

This paper presents a Nonlinear Model Predictive Control (NMPC) algorithm utilizing a deterministic global optimization method. Utilizing local techniques on nonlinear nonconvex problems leaves one susceptible to suboptimal solutions at each iteration. In complex problems, local solver reliability is difficult to predict and dependent upon the choice of initial guess. This paper demonstrates the application of a deterministic global solution technique to an example NMPC problem. A terminal state constraint is used in the example case study. In some cases the local solution method becomes infeasible, while the global solution correctly finds the feasible global solution. Increased computational burden is the most significant limitation for global optimization based online control techniques. This paper provides methods for improving the global optimization rates of convergence. This paper also shows that globally optimal NMPC methods can provide benefits over local techniques and can successfully be used for online control.     

基于异常值的拟态裁决优化方法

针对拟态裁决器多数一致性表决算法的优化方法,提出用异常检测的方法直接量化数据可靠性来提升表决正确率.基于异常值的表决算法,通过构建拟态系统异构执行体输出数据集和训练深度学习异常检测模型量化了执行体输出数据异常值;使用权值优化算法优化加权分配,在表决时选择最优加权结果作为表决输出结果.实验结果表明,该方法能够提升拟态裁决器的表决输出正确率,具有一定共模逃逸检测能力,提升了系统的安全性和可靠性.     

Efficient shape parameterization method for multidisciplinary global optimization and application to integrated ship hull shape optimization workflow

Multidisciplinary global shape optimization requires a geometric parameterization method that keeps the shape generality while lowering the number of free variables. This paper presents a reduced parameter set parameterization method based on integral B-spline surface capable of both shape and topology variations and suitable for global multidisciplinary optimization. The objective of the paper is to illustrate the advantages of the proposed method in comparison to standard parameterization and to prove that the proposed method can be used in an integrated multidisciplinary workflow. Non-linear fitting is used to test the proposed parameterization performance before the actual optimization. The parameterization method can in this way be tested and pre-selected based on previously existing geometries. Fitting tests were conducted on three shapes with dissimilar geometrical features, and great improvement in shape generality while reducing the number of shape parameters was achieved. The best results are obtained for a small number (up to 50) of optimization variables, where a classical applying of parameterization method requires about two times as many optimization variables to obtain the same fitting capacity.The proposed shape parameterization method was tested in a multidisciplinary ship hull optimization workflow to confirm that it can actually be used in multiobjective optimization problems. The workflow integrates shape parameterization with hydrodynamic, structural and geometry analysis tools. In comparison to classical local and global optimization methods, the evolutionary algorithm allows for fully autonomous design with an ability to generate a wide Pareto front without a need for an initial solution.