In the strictest sense, cloud computing can mean many things, including simply running a sequential script on a virtual machine in a data center. 严格地说,云计算可以意味着许多活动,包括在数据中心中的虚拟机上运行顺序的脚本。
Programmable digital controller sequential and numerically controlled machine 程序及数字控制机器
The Application of Sequential Control Design Method in Unite Machine Tool 顺序控制设计法在组合机床中的应用
After discussing the state tables of sequential machine, this paper defines dividing sequence and advances a method to construct checking experiments for a sequential machine that has no distinguishing sequence. 作者从时序机的状态表出发,定义了划分序列,并针对无区分序列的时序机,提出了利用划分序列构造时序机核实序列的一种方法。
After introducing compilation strategies and the design of the Prolog compiler, the architecture of a sequential inference machine is discussed. 文中还介绍了Prolog编译策略和Prolog编译器的设计,描述了一种顺序推理机的系统结构。
But the state diagram of a synchronous sequential machine is so complex that it is hard to describe and process in the computer. 但对于复杂的同步时序机,其状态图一般比较复杂且庞大,难于用计算机描述和处理。
A Study on the Memory Organization for a Sequential PROLOG Machine 顺序PROLOG机存储组织研究
Because there are plenty of input and output information in sequential circuits of machine tool, it is difficult to apply the general theory, such as method [ 7] or tabular procedure [ 8] [ 10], to the design of these circuits. 但由于机床程序回路中存在较多的输入、输出信号,这些一般理论如象作图法[7]或列表程序[8]、[10]很难适用。
Dynamic Sequential Circuits and Generalized Sequential Machine 动态时序电路和广义时序机
Sequential machine ns serial full decomposition method 时序机串行全分解中的NS全分解
Self state difference of digital integrated system recessive soft fault of sequence sequential machine based on location 基于顺序时序机的数字集成系统隐式软故障自状态差定位
Self state difference graph can succeed in location to implicit soft fault of sequential machine directly, concisely and accurately. 自状态差表可成功直观简明精确定位时序机隐式软故障。
The import of CHP is a sequential source program with embedded code type profiling. After analyzing the input and output parameters by CHP, an object program that automatically calls parallel virtual machine ( PVM) routines to implement parallelism will be generated. CHP的输入为内嵌代码类型描述的串行源程序,经CHP预编译分析输入和输出参数后,自动生成能调用PVM例程、实现并行化的目标程序。
Theory of ternary dynamic and static generalized sequential machine 三值动态和静态广义时序机理论
This paper describes a concrete method for remaking the electric control system of machine tool by sequential control function of PLC from giving an example of DU multifunction machine tool, which based on necessity of automatic control for tool. 从机床自动控制的实际需要出发,以DU型多功能组合机床为例,介绍了一种利用PLC的顺序编程控制功能来改造机床电控系统的具体方法。
This paper presents a new method of controlling process synchronization by taking an abstract sequential inference machine as a model. 本文以一种抽象的顺序推理机系统为模型,构造了一种控制进程同步的新方法。
State Minimization of Cat. 1 Incompletely Specified Sequential Machine 一类非完全定义时序机的状态化简
Sequential optimization design research on rear mould board of injection machine 注塑机后模板顺序优化设计研究
Application of Sequential Machine Flow Diagram to Modern Digital Circuit Design 时序机流程图在近代数字设计中的应用
The state drive of a synchronous sequential machine may be finished according to the state diagram which is usually derived from the next state equation. 同步时序机的状态驱动可根据状态图来完成,状态图通常由次态方程求得。
A method of constructing checking experiments for sequential machine through dividing sequence 用划分序列构造时序机核实序列的方法
Some Important Issues in the Research of Sequential Inference Machine s 顺序推理机研究中的几个重要问题
Architecture and Hardware Implementation Techniques of the Sequential PROLOG Machine: KD-PP 顺序PROLOG机KD-PP的系统结构和硬件实现技术
Research on Fast Full State Simulation Algorithm of Synchronization Sequential Machine 同步时序机快速状态加全模拟算法研究
Eci-sim: a sequential inference machine 顺序推理机ECI-SIM
This paper mainly studied the sequential minimal optimization algorithm of support vector machine in statistical learning theory. The support vector machine composed by least sequence algorithm has been used in serial number identification. 本文实现了人民币图像预处理和序列号识别,主要研究了统计学习理论中支持向量机的次序最小优化算法,并将其构建的支持向量机用于序列号识别。
Reinforcement learning ( RL) is efficient at solving uncertain sequential decision problem and it has become one of the key research issues in machine learning in recent years. 增强学习能有效解决不确定序贯决策优化问题,近年来已发展成为机器学习领域的一个研究热点。
Therefore, the thesis utilizes hardware performance counters to count major performance events, and establishes the mapping model for performance events to predict the execution time of sequential execution block on target machine. 为此,本文采用硬件性能计数器来统计宿主机上的主要性能事件,建立性能事件的映射模型,以此来预测顺序执行块在目标机上的运行时间。
The algorithm was mainly on the basis of mathematical morphology, combined with ECG own characteristics to propose a sequential screening method for maximum value to extract the R-peaks; and finally classified beat types by selecting Radial Basis Function for Support Vector Machine. 在数学形态学基础上,结合心电图自身特点提出了一种顺序极大值筛选法来提取R波峰;最后选择径向基(Radialbasisfunction)支持向量机进行识别分类。
In response to these problems, this paper combined bidirectional extreme learning machine with online sequential extreme learning machine for power transmission line deicing robot system approximation, and then fuzzy neural network is designed as a robot controller. 针对上述问题,本文结合双端极限学习机与序贯极限学习机对高压输电线路除冰机器人进行系统辨识,然后再利用模糊神经网络作为系统控制器。