基于代码下移的分布式软件框架

在通用3层结构框架的基础上，利用公共语言运行时，设计并实现一种分布式软件框架。该框架将业务逻辑层中的部分代码下移，并在数据层中增加存储过程调用子层，从而降低网络数据传输量，提高分布式环境下软件的运行效率。以某大型制造企业工时定额系统中的分工表展开模块为例，详述该框架的构建过程，验证了该框架在提高软件整体运行效率方面具有普遍适应性。     

Windows NT的构件

Windows NT是一个模块化的操作系统。这就是说,它是由一系列相对较小的,自包含的软件元素(或模块)构成的,它们之间相互合作来完成操作系统的任务。每一个元素提供了一系列功能,并以界面的形式与系统的其他部分交互。各模块之间可以相互调用来完成系统任务。这些模块的功能在这里进行一个简单的描述: ·环境子系统(Environment Subsystems)——可以运行除Windows NT操作系统外的其他几个不同的操作系统的程序。例如Win32子系统,OS/2子系统和POSIX子系统。     

基于梯度的并行协作模块化神经网络体系结构

该文提出了一种基于梯度的并行协作模块化神经网络的体系结构(GPCMNN)．它通过分解模块，根据梯度方法对学习样本空间自动分解，由子空间识别模块和子任务模块实现各子样本空间的识别和学习，集成模块将子样本空间结果集成得系统的输出，实现了复杂任务的自动分解、判定和模块化训练策略．实验表明，该文提出的GPCMNN体系结构是可行的、有效的；与非模块化神经网络技术相比，提高了训练速度，改善了网络性能．它具有高效并行的运行效率、便于硬件实现等特点，同时又保持了PCMNN算法的优点，改进了它的不足．     

阀厅智能巡检机器人运动控制系统

为使阀厅智能巡检机器人具备更灵活的控制策略与更高的运动控制精度,设计一种其专用的运动控制系统。系统由运动控制器模块、信息存储模块、运动控制软件模块、速度计算软件模块、路径规划软件模块构成。其中运动控制器模块由电源单元、报警功能单元、A/D转化单元、串口通信单元以及单片机单元构成。信息存储模块由RAM单元和ROM单元构成,共设计2个ROM单元与3个RAM单元。运动控制软件模块通过运动控制软件控制机器人的运行方式。速度计算软件模块主要通过编码器的GetSpeed-100umPerSecond函数计算机器人当前左右轮速度。路径规划软件模块主要使用蝙蝠算法对阀厅智能巡检机器人的运动控制实施路径规划。对系统的多种功能进行测试。测试结果表明,系统避障能力较强,拥有良好的路径规划功能;定位误差较小,具有良好的定位功能;运动轨迹偏差较小,运动控制功能较好。证明系统能够应用于设计目的且能够实现出色的运动控制,对于变电站智能巡检在各地的推广有一定意义。     

短波电台便携式ATS平台的设计与实现

设计了一种短波电台便携式ATS(自动测试系统)平台,该平台采用集成化测试模块,在测试终端上运行软件完成电台整机指标的自动测试,并给出测试结果和整体性能判断,极大地减少了测试时间及人工测试产生的误差;其中电台类型及测试指标的增加,可通过软件方式方便的注入,可移植性强;实际测试表明,系统误差为0.5% ,较之传统的测试系统,平均测试时间节省了45%,提高了测试效率。     

基于1553B总线的先进飞机电气终端的仿真

该文对基于MIL-STD-1553B数据总线的先进飞机配电系统的结构和功能进行了分析,重点论述了仿真系统的结构及仿真软件的实现.配电自动化过程是个多任务并发过程,如何协调各任务的运行,提高系统运行效率,是仿真软件的关键.该文从仿真软件的功能出发,论述了系统任务的划分,并结合Windows消息驱动机制和多线程概念,提出了一种Windows环境下实现多任务管理的方法;同时,该文从实时数据库和线程安全类概念出发,论述了一种用于管理系统运行过程中公用数据的简易的内存数据库管理系统,两者的结合很好地解决了上述问题.调试结果表明,系统运行可靠,达到了功能要求,性能良好,具有很好的仿真效果.     

分布式问题求解在CIMS中的应用

本文介绍了一个应用于 CIMS 的分布式智能系统,该系统将 CAD,CAPP,CAM 有机地集成为一体.由于采用了分布式问题求解技术、通讯技术,使在不同地理位置上的计算机性能和资源得以充分发挥和利用.多个处理结点组成的基于黑板结构的分布式智能系统,可以高速、并行地执行分散在不同结点的知识源,提高系统的灵活性和处理能力.运行在三个结点(可扩充多个)的系统大体相同.主要包括:知识获取子系统、前端处理(负责接收与发送)、任务的分解、任务的评估与分配、任务的综合、后端处理(子问题求解)模块以及解释子系统.目前该系统已在由以太网连接的 SUN 计算机上运行,分布式智能系统本身由 C 语言写成,被集成的子系统由 C 和 FORTRAN 两种语言写成.     

通信系统虚拟仿真软件辅助设计探讨

通信系统的各模块及其系统总体的设计中,为提高设计效率和优化系统性能,在进行合理的链路预算、数学分析的基础上,往往需要通过虚拟仿真软件进行设计、优化及仿真.本文按照从电路到模块,从子系统到系统的通信工程底层到上层的设计思路,运用Multisim虚拟仿真软件,进行从工程预算、工作原理、工作过程以及运行结果的设计及其优化,实...     

一种能简化复杂分类问题的矩阵模块神经网络分类器

主要针对大训练集和类别非对称训练集等复杂分类问题提出一种基于新的任务分解技术的矩阵模块神经网络分类系统,它将一个复杂分类任务分解为多个简单的子任务来解决,每个子任务只是在两个子空间内进行,且由一个具有简单结构的神经网络模块来完成;所有网络模块将组成一个神经网络矩阵,最终将该神经网络矩阵的输出矩阵集成得到最终分类结果.本文通过理论分析和模拟实验证明,该矩阵模块神经网络能节省神经网络的学习时间,提高泛化能力和分类精度.     

一种飞控计算机DCT的研究与实现

飞控计算机是现代飞机数字化飞行控制系统中的核心;因此,对飞控计算机及其部件进行高质量的测试非常重要;某飞控计算机主要由多型数字模块组成;为满足这些数字模块的批量生产测试需求,在研究测试方法的基础上,设计和实现了一种数字模块测试设备(DCT)该设备基于PXI总线实现,测试程序集(TPS)使用LabVIEW开发;从硬件和软件两个方面阐明了DCT的设计方法和实现原理;该设备测试效率高,性能稳定,界面友好,维护方便,易于扩展。经检定及实际应用,表明该设备满足测试需求中33类1000余项测试的指标要求,且设备整体运行良好,测试效率超过10块/小时,取得了良好的效果。     

A mobile edge computing-based applications execution framework for Internet of Vehicles

Mobile edge computing (MEC) is a promising technology for the Internet of Vehicles, especially in terms of application offloading and resource allocation. Most existing offloading schemes are sub-optimal, since these offloading strategies consider an application as a whole. In comparison, in this paper we propose an application-centric framework and build a finer-grained offloading scheme based on application partitioning. In our framework, each application is modelled as a directed acyclic graph, where each node represents a subtask and each edge represents the data flow dependency between a pair of subtasks. Both vehicles and MEC server within the communication range can be used as candidate offloading nodes. Then, the offloading involves assigning these computing nodes to subtasks. In addition, the proposed offloading scheme deal with the delay constraint of each subtask. The experimental evaluation show that, compared to existing non-partitioning offloading schemes, this proposed one effectively improves the performance of the application in terms of execution time and throughput.     

A latency-aware and energy-efficient computation offloading in mobile fog computing: a hidden Markov model-based approach

In recent years, Fog Computing (FC) is known as a good infrastructure for the Internet of Things (IoT). Using this architecture for the mobile applications in the IoT is named the Mobile Fog Computing (MFC). If we assume that an application includes some modules, thus, these modules can be sent to the Fog or Cloud layer because of the resource limitation or increased runtime at the mobile. This increases the efficiency of the whole system. As data is entered sequentially, and the input is given to the modules, the number of executable modules increases. So, this research is conducted to find the best place in order to run the modules that can be on the mobile, Fog, or Cloud. According to the proposed method, when the modules arrive at gateway, then, a Hidden Markov model Auto-scaling Offloading (HMAO) finds the best destination to execute the module to create a compromise between the energy consumption and execution time of the modules. The evaluation results obtained regarding the parameters of the energy consumption, execution cost, delay, and network resource usage shows that the proposed method on average is better than the local execution, First-Fit (FF), and Q-learning based method.

     

Web应用软件系统的性能分析与优化

数据库系统性能的改进直接影响到整个应用系统的执行效率。介绍了不同的优化理论方法,针对实际系统出现的问题,讨论了如何选取合适的设计思路方法,从系统的多个层面来分析影响数据库性能的因素,并给出了具体的优化策略方法。     

A stochastic model for heterogeneous computing and its applicationin data relocation scheme development

In a dedicated, mixed-machine, heterogeneous computing (HC) system, an application program may be decomposed into subtasks, then each subtask assigned to the machine where it is best suited for execution. Data relocation is defined as selecting the sources for needed data items. It is assumed that multiple independent subtasks of an application program can be executed concurrently on different machines whenever possible. A theoretical stochastic model for HC Is proposed, in which the computation times of subtasks and communication times for intermachine data transfers can be random variables. The optimization problem for finding the optimal matching, scheduling, and data relocation schemes to minimize the total execution time of an application program is defined based on this stochastic HC model. The global optimization criterion and search space for the above optimization problem are described. It is validated that a greedy algorithm-based approach can establish a local optimization criterion for developing data relocation heuristics. The validation is provided by a theoretical proof based on a set of common assumptions about the underlying HC system and application program. The local optimization criterion established by the greedy approach, coupled with the search space defined for choosing valid data relocation schemes, can help developers of future practical data relocation heuristics     

Goal/plan analysis via distributed semantic representations in a connectionist system

In this paper we describe DYNASTY, a multi-module distributed connectionist system designed to perform a very high-level symbolic task, namely, comprehension of goal/plan-based stories. DYNASTY has two phases of operation: learning and performance. During learning, each DYNASTY module acquires both the knowledge and skill to perform its specified subtask, through backpropagation learning on a data set of propositions. In addition to modifying their connection weights, DYNASTY modules automatically form distributed semantic representations (DSRs) of the lexical and conceptual symbols used in training the modules. Each DSR encodes, as an activation vector, both structural and sequential information inherent in the training data. During performance, DRSs are passed among various connectionist modules, thus supporting communication and modularity. In addition, DSRs of words with similar meanings end up having similar DSRs. This feature gives DYNASTY the ability to generalize, e.g., generate appropriate inferences when given novel yet similar inputs.     

基于Internet的分布式城市交通协同控制

研究了基于Internet的分布式城市交通协同控制系统模型,分析和规划了模型的组成结构;设计了以S3C44B0X为核心的嵌入式道路控制器,并通过外扩存储、通信、语音等模块,实现控制器的嵌入式模块化设计和软、硬件系统;最后分别在Linux和Windows系统平台下编写网络套接字,实现跨系统网络通信,对整个系统进行了集成和实现。试验结果表明修正的优化控制算法可将平均延误时间优化至10-3s,而且该控制器的软硬件系统运行稳定,性价比高、功能完善、可扩展性和通用性好。     

An autonomous stereovision-based navigation system (ASNS) for mobile robots

Recently, stereovision has appeared in robotics as a source of information for real-time mapping and path planning. In this paper, an intelligent motion system for mobile robots is designed and implemented using stereovision. The proposed system uses stereovision as a primary method for sensing the environment, and the system is able to navigate intelligently in an indoor environment with varying degrees of obstacle complexity. It creates noiseless and high-confidence 3D point clouds and uses these point clouds as an input for the mapping and path-planning modules. The proposed system was built by developing, enhancing, and integrating various techniques, modules and algorithms. The Stereovision-based Path-planning module is the integration of three main enhanced techniques: (1) the multi-baseline multi-view stereovision filter (MMSVF), (2) accurate floor detection and segmentation (AFDS), and (3) the intelligent gazing module (IGM). This Stereovision-based Path planning (MMSVF, IGM, and AFDS) was integrated with the Fuzzy Logic Motion Controller (FLMC). All techniques, modules and algorithms are implemented using a multi-threaded and client–server-based architecture. To prove the viability and robustness of our proposed system, we have integrated all components of the system into a fully functional mobile robot navigation system. We compared the performance of the main modules with that of similar modules in the literatures, and showed that our modules had better performance. Testing the whole system is more important than just testing each module individually. To the best of our knowledge, the literatures lack such testing. Hence, in this paper we present the performance of our complete integrated system in different environments using different parameters and different architectures.     

基于共享cache多核处理器的数据库内存排序优化

针对目前主流的多核处理器,提出了共享cache敏感的数据库排序多线程执行框架(sharedcache sensitive multithreaded sorting framework,SCS-MSF).首先分析了多线程QuickSort排序在共享cache多核处理器中执行时面临的性能瓶颈,在此基础上针对SCS-MSF每个处理阶段的数据访问特点,提出了各自的多线程并行执行模式,并通过各种优化策略改善线程执行时的cache性能,特别是减少多线程访问共享cache时的访问冲突问题,以提高线程的cache性能.在实验中,基于内存数据库EaseDB实现了SCS-MSF.实验结果表明SCS-MSF具有良好cache访问性能,从而提高了多线程执行的效率,而且性能稳定,数据库排序性能得到了较大提高.     

High-fidelity simulation of integrated single-wafer processing tools for evaluation of scheduling algorithms

Semiconductor manufacturing equipments are being integrated into complex systems that perform multiple processes in a single contained unit. An integrated single-wafer processing tool, composed of multiple single-wafer processing modules and transfer robots, has complex re-visit routing sequences, and often has critical post-processing residency constraints at the process modules. The simulation of the single-wafer processing tools presented in this paper is to test and validate on-line schedulers, and evaluate the performance of the integrated single-wafer processing tools before they are actually deployed into the fabs. The developed simulator consists of six components which are a graphic user interface, an emulator, an execution system, a manager, an analyzer and a 3D animator. The overall framework is built by using Microsoft Visual C++, and the animator is constructed by using OpenGL. The emulator has the state models of the process and transfer modules, and control functions that execute unit processes of the transfer robots. The manager checks the states of the robots, and sequentially calls these control functions to fulfill transfer commands. The execution system automatically generates contingencies with pre-defined failure lists, and determines whether the rest of the operable wafers should be further processed or discarded. The animator shows real-time 3D animation of the operation of the processing tools. The analyzer provides various performance measures such as throughput rate, cycle time, utility, and ratio of overtime to residency (ROR). Users can test and evaluate various manufacturing scenarios and configurations of the processing tools and recipes.     

物流资源整合系统的两阶段利益分配策略研究

为获取公平合理的利益分配方案,提出了基于物流资源稀缺性和任务绩效的物流资源整合系统两阶段利益分配模型。第一阶段考虑物流资源稀缺性,针对一般资源提供商和战略资源提供商分别采用一级密封价格拍卖、Shapley值法的分配策略,获取初始利益分配方案;第二阶段考虑物流资源提供商完成物流子任务的绩效对初始利益分配方案进行修正,建立物流子任务的绩效评价指标体系,利用模糊综合评价法计算物流子任务的绩效系数,获得最终的利益分配方案。以商品车配送任务为例验证该利益分配模型不仅有助于实现物流资源的优化配置,而且激励物流资源提供商提高物流任务绩效水平。