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Treatment method uses 1 · Germany produces · of 0/9 of · of Wolf F 8 lens of 0 rigid ureter kidney, homebred APL baric and ballistic stone crusher and homebred microcomputer charge pump.

现将护理心得报告如下。1资料和方法1·1临床资料本组102例,其中男72例,女30例,年龄19~65岁(平均42岁);左侧输尿管55例,右侧输尿管42例,双侧5例;其中1例行体外冲击波碎石术治疗多次结石未粉碎,2例为ESWL治疗后引起"石街"。1·2治疗方法采用德国产Wolf F 8·0/9·0硬性输尿管肾镜,国产APL型气压弹道碎石机以及国产微电脑灌注泵。

OBJECTIVE To design and develop a clinical pharmacokinetics and individual drug dosage regimens system CPKDP program for estimating individual pharmacokinetic parameters and optimizing individualizing dosage regimens using routine clinical data of plasma levels. METHODS According to the principle of population pharmacokinetics and Bayes" formula, CPKDP program was written with FOXPRO 2.6 and BORLAND C++ 3.1, and was run on 486 microcomputer with UCDOS 5.0. RESULTS CPKDP program was adapted for drugs with different characteristics of pharmacokinetics, and for single dose or multiple dose administration. Using 1 or 2 measured drug concentrations, individual patient"s pharmacokinetic parameters were estimated based on population-average pharm-acokinetic parameters. CONCLUSION CPKDP program is applied for estimating pharmacokinetic parameters and optimizing drug therapy in individual patients.

目的为利用临床常规监测的血药浓度数据估算病人的个体药动学参数,优化给药方案,设计、研制了临床药动学给药个体化系统CPKDP程序方法依据群体药动学原理及Bayes公式,CPKDP程序用FOXPRO 2.6和BORLAND C++ 3.1开发,在希望汉字系统UCDOS 5.0平台上运行结果CPKDP程序适用于具有不同药动学特征的多种药物,适用于不同给药途径的单剂量或多剂量给药在群体药动学参数的基础上,结合病人个体特征,以1,2个血药浓度作为反馈,即可拟合估算个体药动学参数,优化给药方案结论经初步应用,CPKDP程序是应用Bayes反馈法开展临床个体化给药工作非常实用的工具

PART 1 UNIT 1 B Electrical and Electronic Engineering Basics A Electrical Networks ———————————— 3 Three-phase Circuits A The Operational Amplifier ——————————— 5 UNIT 2 B Transistors A Logical Variables and Flip-flop —————————— 8 UNIT 3 B Binary Number System A Power Semiconductor Devices —————————— 11 UNIT 4 B Power Electronic Converters A Types of DC Motors —————————————15 UNIT 5 B Closed-loop Control of DC Drivers A AC Machines ———————————————19 UNIT 6 B Induction Motor Drive A Electric Power System ————————————22 UNIT 7 B PART 2 UNIT 1 B Power System Automation Control Theory A The World of Control ————————————27 —————29 The Transfer Function and the Laplace Transformation UNIT 2 B A Stability and the Time Response ————————— 30 Steady State————————————————— 31 A The Root Locus ————————————— 32 ————— 33 UNIT 3 B The Frequency Response Methods: Nyquist Diagrams UNIT 4 A The Frequency Response Methods: Bode Piots ————— 34 B Nonlinear Control System 37 UNIT 5 A Introduction to Modern Control Theory B State Equations 40 38 UNIT 6 A Controllability, Observability, and Stability B Optimum Control Systems UNIT 7 A Conventional and Intelligent Control B Artificial Neural Network Computer Control Technology A Computer Structure and Function 42 B Fundamentals of Computer and Networks 43 44 PART 3 UNIT 1 UNIT 2 A Interfaces to External Signals and Devices B The Applications of Computers 46 UNIT 3 A PLC Overview B PACs for Industrial Control, the Future of Control UNIT 4 A Fundamentals of Single-chip Microcomputer 49 B Understanding DSP and Its Uses 1 UNIT 5 A A First Look at Embedded Systems B Embedded Systems Design Process Control A A Process Control System B 50 PART 4 UNIT 1 Fundamentals of Process Control 52 53 UNIT 2 A Sensors and Transmitters B Final Control Elements and Controllers UNIT 3 A P Controllers and PI Controllers B PID Controllers and Other Controllers UNIT 4 A Indicating Instruments B Control Panels Control Based on Network and Information A Automation Networking Application Areas B Evolution of Control System Architecture PART 5 UNIT 1 UNIT 2 A Fundamental Issues in Networked Control Systems B Stability of NCSs with Network-induced Delay UNIT 3 A Fundamentals of the Database System B Virtual Manufacturing—A Growing Trend in Automation UNIT 4 A Concepts of Computer Integrated Manufacturing B Enterprise Resources Planning and Beyond Synthetic Applications of Automatic Technology A Recent Advances and Future Trends in Electrical Machine Drivers B System Evolution in Intelligent Buildings PART 6 UNIT 1 UNIT 2 A Industrial Robot B A General Introduction to Pattern Recognition UNIT 3 A Renewable Energy B Electric Vehicles UNIT 1 A

电路 2 电路或电网络由以某种方式连接的电阻器,电感器和电容器等元件组成。如果网络不包含能源,如电池或发电机,那么就被称作无源网络。换句话说,如果存在一个或多个能源,那么组合的结果为有源网络。在研究电网络的特性时,我们感兴趣的是确定电路中的电压和电流。因为网络由无源电路元件组成,所以必须首先定义这些元件的电特性。就电阻来说,电压-电流的关系由欧姆定律给出,欧姆定律指出:电阻两端的电压等于电阻上流过的电流乘以电阻值。在数学上表达为: u=iR (1-1A-1)式中 u=电压,伏特;i =电流,安培;R =电阻,欧姆。纯电感电压由法拉第定律定义,法拉第定律指出:电感两端的电压正比于流过电感的电流随时间的变化率。因此可得到:U=Ldi/dt 式中 di/dt =电流变化率,安培/秒; L =感应系数,享利。电容两端建立的电压正比于电容两极板上积累的电荷 q 。因为电荷的积累可表示为电荷增量 dq 的和或积分,因此得到的等式为 u=,式中电容量 C 是与电压和电荷相关的比例常数。由定义可知,电流等于电荷随时间的变化率,可表示为 i = dq/dt。因此电荷增量 dq 等于电流乘以相应的时间增量,或 dq = i dt,那么等式(1-1A-3)可写为式中 C =电容量,法拉。

PART 1 Electrical and Electronic Engineering Basics UNIT 1 A Electrical Networks B Three-phase Circuits UNIT 2 A The Operational Amplifier ——————————— 5 B Transistors UNIT 3 A Logical Variables and Flip-flop —————————— 8 ———————————— 3 B Binary Number System UNIT 4 A Power Semiconductor Devices —————————— 11 B Power Electronic Converters UNIT 5 A Types of DC Motors —————————————15 B Closed-loop Control of DC Drivers UNIT 6 A AC Machines ———————————————19 B Induction Motor Drive UNIT 7 A Electric Power System ————————————22 B Power System Automation PART 2 Control Theory UNIT 1 A The World of Control ————————————27 B The Transfer Function and the Laplace Transformation UNIT 2 A B —————29 Stability and the Time Response ————————— 30 ————————————— 32 Steady State————————————————— 31 UNIT 3 A The Root Locus B The Frequency Response Methods: Nyquist Diagrams ————— 33 UNIT 4 A The Frequency Response Methods: Bode Piots ————— 34 B Nonlinear Control System 37 UNIT 5 A Introduction to Modern Control Theory B UNIT 6 State Equations 40 38 A Controllability, Observability, and Stability B Optimum Control Systems UNIT 7 A Conventional and Intelligent Control B Artificial Neural Network PART 3 UNIT 1 Computer Control Technology A Computer Structure and Function B 42 43 44 Fundamentals of Computer and Networks UNIT 2 A Interfaces to External Signals and Devices B The Applications of Computers 46 UNIT 3 A PLC Overview B PACs for Industrial Control, the Future of Control 1 UNIT 4 A Fundamentals of Single-chip Microcomputer B Understanding DSP and Its Uses 49 UNIT 5 A A First Look at Embedded Systems B Embedded Systems Design PART 4 UNIT 1 Process Control A A Process Control System 50 B Fundamentals of Process Control 53 52 UNIT 2 A Sensors and Transmitters B Final Control Elements and Controllers UNIT 3 A P Controllers and PI Controllers B PID Controllers and Other Controllers UNIT 4 A Indicating Instruments B Control Panels PART 5 UNIT 1 Control Based on Network and Information A Automation Networking Application Areas B Evolution of Control System Architecture UNIT 2 A Fundamental Issues in Networked Control Systems B Stability of NCSs with Network-induced Delay UNIT 3 A Fundamentals of the Database System B Virtual Manufacturing—A Growing Trend in Automation UNIT 4 A Concepts of Computer Integrated Manufacturing B Enterprise Resources Planning and Beyond PART 6 UNIT 1 Synthetic Applications of Automatic Technology A Recent Advances and Future Trends in Electrical Machine Drivers B System Evolution in Intelligent Buildings UNIT 2 A Industrial Robot B A General Introduction to Pattern Recognition UNIT 3 A Renewable Energy B Electric Vehicles 2 UNIT 1 A

电路 电路或电网络由以某种方式连接的电阻器,电感器和电容器等元件组成。如果网络不包含能源,如电池或发电机,那么就被称作无源网络。换句话说,如果存在一个或多个能源,那么组合的结果为有源网络。在研究电网络的特性时,我们感兴趣的是确定电路中的电压和电流。因为网络由无源电路元件组成,所以必须首先定义这些元件的电特性。就电阻来说,电压-电流的关系由欧姆定律给出,欧姆定律指出:电阻两端的电压等于电阻上流过的电流乘以电阻值。在数学上表达为: u=iR (1-1A-1)式中 u=电压,伏特;i =电流,安培;R =电阻,欧姆。纯电感电压由法拉第定律定义,法拉第定律指出:电感两端的电压正比于流过电感的电流随时间的变化率。因此可得到:U=Ldi/dt 式中 di/dt =电流变化率,安培/秒; L =感应系数,享利。电容两端建立的电压正比于电容两极板上积累的电荷 q 。因为电荷的积累可表示为电荷增量 dq 的和或积分,因此得到的等式为 u=,式中电容量 C 是与电压和电荷相关的比例常数。由定义可知,电流等于电荷随时间的变化率,可表示为 i = dq/dt。因此电荷增量 dq 等于电流乘以相应的时间增量,或 dq = i dt,那么等式(1-1A-3)可写为式中 C =电容量,法拉。

PART 1 Electrical and Electronic Engineering Basics UNIT 1 A UNIT 2 A UNIT 3 A UNIT 4 A UNIT 5 A UNIT 6 A UNIT 7 A Electrical Networks ———————————— 3 B Three-phase Circuits The Operational Amplifier ——————————— 5 Logical Variables and Flip-flop —————————— 8 Power Semiconductor Devices —————————— 11 Types of DC Motors —————————————15 AC Machines ———————————————19 Electric Power System ————————————22 B Transistors B Binary Number System B Power Electronic Converters B Closed-loop Control of DC Drivers B Induction Motor Drive B Power System Automation PART 2 Control Theory UNIT 1 A B UNIT 2 A UNIT 3 A UNIT 4 A The World of Control ————————————27 Stability and the Time Response ————————— 30 The Root Locus ————————————— 32 The Transfer Function and the Laplace Transformation —————29 B Steady State————————————————— 31 B The Frequency Response Methods: Nyquist Diagrams ————— 33 The Frequency Response Methods: Bode Piots ————— 34 B Nonlinear Control System 37 UNIT 5 A Introduction to Modern Control Theory B B B PART 3 B B B State Equations Optimum Control Systems Artificial Neural Network Computer Control Technology 42 43 44 Fundamentals of Computer and Networks The Applications of Computers 46 40 38 UNIT 6 A Controllability, Observability, and Stability UNIT 7 A Conventional and Intelligent Control UNIT 1 A Computer Structure and Function UNIT 2 A Interfaces to External Signals and Devices UNIT 3 A PLC Overview PACs for Industrial Control, the Future of Control 1 UNIT 4 A Fundamentals of Single-chip Microcomputer 49 B B PART 4 B B B B PART 5 B B B B PART 6 Understanding DSP and Its Uses Embedded Systems Design Process Control 50 52 53 Fundamentals of Process Control UNIT 5 A A First Look at Embedded Systems UNIT 1 A A Process Control System UNIT 2 A Sensors and Transmitters Final Control Elements and Controllers PID Controllers and Other Controllers Control Panels Control Based on Network and Information Evolution of Control System Architecture Stability of NCSs with Network-induced Delay Virtual Manufacturing—A Growing Trend in Automation Enterprise Resources Planning and Beyond Synthetic Applications of Automatic Technology UNIT 3 A P Controllers and PI Controllers UNIT 4 A Indicating Instruments UNIT 1 A Automation Networking Application Areas UNIT 2 A Fundamental Issues in Networked Control Systems UNIT 3 A Fundamentals of the Database System UNIT 4 A Concepts of Computer Integrated Manufacturing UNIT 1 A Recent Advances and Future Trends in Electrical Machine Drivers B B B System Evolution in Intelligent Buildings A General Introduction to Pattern Recognition Electric Vehicles UNIT 2 A Industrial Robot UNIT 3 A Renewable Energy 2 UNIT 1 A

电路 电路或电网络由以某种方式连接的电阻器,电感器和电容器等元件组成。如果网络不包含能源,如电池或发电机,那么就被称作无源网络。换句话说,如果存在一个或多个能源,那么组合的结果为有源网络。在研究电网络的特性时,我们感兴趣的是确定电路中的电压和电流。因为网络由无源电路元件组成,所以必须首先定义这些元件的电特性。就电阻来说,电压-电流的关系由欧姆定律给出,欧姆定律指出:电阻两端的电压等于电阻上流过的电流乘以电阻值。在数学上表达为: u=iR (1-1A-1)式中 u=电压,伏特;i =电流,安培;R =电阻,欧姆。纯电感电压由法拉第定律定义,法拉第定律指出:电感两端的电压正比于流过电感的电流随时间的变化率。因此可得到:U=Ldi/dt 式中 di/dt =电流变化率,安培/秒; L =感应系数,享利。电容两端建立的电压正比于电容两极板上积累的电荷 q 。因为电荷的积累可表示为电荷增量 dq 的和或积分,因此得到的等式为 u=,式中电容量 C 是与电压和电荷相关的比例常数。由定义可知,电流等于电荷随时间的变化率,可表示为 i = dq/dt。因此电荷增量 dq 等于电流乘以相应的时间增量,或 dq = i dt,那么等式(1-1A-3)可写为式中 C =电容量,法拉。

The speed of encryption and decryption is rather fast,for example 24000 bps in Z-80 microcomputer.

假如用更快的机器,如IBM-PC机,即可得到更快的速度。

This system is based on the fuzzy-control theories, designed with a horizontal monitoring model, taking a Single Chip Microcomputer as the core of data-processing, according to requirements of the embedded application of the computer monitoring system which can ensure the security and reliability of the bridge-building machine.

因此,给设备配备一个监控系统是非常必要的。本系统是以模糊控制理论为依据,设计水平监控模型;以单片机为载体按嵌入式应用的思路开发的计算机监控系统。

It does not require a large number of memory units.It is based on floating operations,which need about 4K byte memory units(8bit microcomputer).

本文正是从这一点出发,利用微型计算机的运算控制能力,来完成PID自调整控制作用。

Single slice microcomputer, can also think to be a kind of calculator integrated circuit chip.

单片微型计算机,也可以认为是一种计算机集成电路芯片。

Chip microcomputer controlled by the large-screen LED display system, the calendar clock display, advertising and other information.

由单片机控制的大屏幕LED显示系统,可显示日历时钟、广告等信息。

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