2.1 Discrete-Time Signals: Time-Domain Representation Signals represented as sequences of numbers, called samples Sample value of a typical signal or sequence denoted as x[n] with n being an integer in the range-oo≤n≤∞ x[n] defined only for integer values of n and undefined for noninteger values of n Discrete-time signal represented by {x[n]}

Introduction Ideally, the system parameters along with the signal variables have infinite precision taking any value between -oo and · In practice, they can take only discrete values within a specified range since the registers of the digital machine where they are stored are of finite length

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Chapter 3 Number Systems and Boolean Algebra Key points: useful terms and definitions of Number system and Boolean Algbra Difficult points: Conversion of the Number Systems and Boolean Algbra

Module19: Security(安全) 1、The Security Problem(安全问题) 2、Authentication(授权) 3、Program Threats(来自程序的威胁) 4、System Threats(来自系统的威胁) 5、Threat Monitoring(威胁的监控) 6、Encryption(加密)

Module13: Secondary-Storage-二级存储 1、 Disk Structure磁盘结构 2、Disk Scheduling磁盘调度 3、Disk Management磁盘管理 4、Swap-Space Management交换空间管理 5、Disk Reliability磁盘可靠性 6、Stable-Storage- Implementation稳定存储实现 7、Tertiary Storage Devices三级存储设备 8、Operating System Issues有关操作系统的问题 9、Performance Issues有关性能的问题

Module8: Deadlocks(死锁) 1、System Model(系统模型) 2、Deadlock Characterization(死锁特征) 3、Methods for Handling Deadlocks(处理死锁的方法) 4、Deadlock Prevention(预防死锁) 5、Deadlock Avoidance(死锁避免) 6、Deadlock Detection(死锁检测) 7、Recovery from Deadlock(死锁恢复) 8、Combined Approach to Deadlock Handling(综合处理方法)

1、What is an operating system?什么是操作系统? 2、Simple Batch Systems简单批处理系统 3、Multiprogramming Batched Systems多道程序批处理系统 4、ime- Sharing Systems分时系统 5、Personal-Computer- Systems个人计算机系统 6、Parallel Systems并行系统 7、Distributed Systems分布式系统 8、Real-Time Systems实时系统

最早的智能建筑 1、1984年,康涅狄格州,哈特福德 2、联合技术建筑系统公司 United Technology Building System Corp 3、都市大厦( City Place) 4、实现办公自动化、设备自动控制和通信自动化 5、智能建筑 IB Intelligent Building

How to analyse the errors of simulation results? Sustematic errors: Possible sources. 'poor equilibration; bad random number generator; 'system size effect. Practical method for detecting systematic errors: -longer simulation, different initial configurations; test random number generator, use different generators; simulation with larger systems