FUNDAMENTALS OF COMPUTER HARDWARE

本文介绍计算机系统组件的组织。计算机是接受、存储、处理数据并产生输出的符号处理系统。系统关键元素包括输入、处理和输出设备。输入设备有键盘、鼠标等;中央处理器是核心;输出设备将结果转换为人或机器可用形式,输入/输出和二级存储单元常称外设。
FUNDAMENTALS OF COMPUTER HARDWARE

1-1 ORGANIZATION OF COMPUTER SYSTEM COMPONENTS

    Now that we've examined what is a computer[1], let's look again at our computer definition: A computer is a fast and accurate symbol manipulating system that is organized to accept, store, and process data and produce output results under the direction of a stored program of instructions. This section explains why a computer is a system and how a computer system is organized.
    Fig.1-1 shows the basic organization of a computer system. Key elements in this system include input, processing, and output devices. Let's examine each component of the system in more detail.
    INPUT DEVICES. Computer systems use many devices for input purpose. As shown in Fig.1-2, some INPUT DEVICES allow direct human/machine communication, while some first require data to be recorded on an input medium such as a magnetizable material[2]. Devices that read data magnetically recorded on specially coated plastic tapes or flexible or floppy plastic disks are popular[3]. The keyboard of a workstation connected directly to … or ONLINE to … a computer is an example of a direct input device[4]. Additional direct input devices include the mouse, input pen, touch screen, and microphone. Regardless of the type of device used, all are components for interpretation and communication between people and computer systems.
    CENTRAL PROCESSING UNIT. The heart of any computer system is the central processing unit (CPU). As Fig. 1-3 shows, there are three main sections found in the CPU of a typical personal computer system: The primary storage section, The arithmetic-logic section, and The control section. But these three sections aren't unique to personal computer: They are found in CPUs of all sizes.
    OUTPUT DEVICES. Like input units, output devices are instruments of interpretation and communication between humans and computer systems of all sizes. These devices take output results from the CPU in machine-coded form and convert them into a form that can be used (a) by people (e.g. a printed and/or displayed report) or (b) as machine input in another processing cycle.
    In personal computer systems (Fig. 1-3), display screen and desktop printers are popular output devices. Larger and faster printers, many online workstations, and magnetic tape drives are commonly found in larger systems.
    The input/output and secondary storage units shown in Fig. 1-3 are sometimes called peripheral devices (or just peripherals). This terminology refers to the fact that although these devices are not a part of the CPU, they are often located near it.

NOTES
[1] Now
此处作连接词用,意为既然、由于。
[2] while连接的并列复合句,有转折的意思,译成"""可是"等。
[3] flexible or floppy plastic disks可简单译为软磁盘。
[4] online与直接连接的概念不同。前者是"联机",此处是指工作站键盘与主机联在一起工作,后者是指"物理连接"

MATLAB主动噪声和振动控制算法——对较大的次级路径变化具有鲁棒性内容概要:本文主要介绍了一种在MATLAB环境下实现的主动噪声和振动控制算法,该算法针对较大的次级路径变化具有较强的鲁棒性。文中详细阐述了算法的设计原理与实现方法,重点解决了传统控制系统中因次级路径动态变化导致性能下降的问题。通过引入自适应机制和鲁棒控制策略,提升了系统在复杂环境下的稳定性和控制精度,适用于需要高精度噪声与振动抑制的实际工程场景。此外,文档还列举了多个MATLAB仿真实例及相关科研技术服务内容,涵盖信号处理、智能优化、机器学习等多个交叉领域。; 适合人群:具备一定MATLAB编程基础和控制系统理论知识的科研人员及工程技术人员,尤其适合从事噪声与振动控制、信号处理、自动化等相关领域的研究生和工程师。; 使用场景及目标:①应用于汽车、航空航天、精密仪器等对噪声和振动敏感的工业领域;②用于提升现有主动控制系统对参数变化的适应能力;③为相关科研项目提供算法验证与仿真平台支持; 阅读建议:建议读者结合提供的MATLAB代码进行仿真实验,深入理解算法在不同次级路径条件下的响应特性,并可通过调整控制参数进一步探究其鲁棒性边界。同时可参考文档中列出的相关技术案例拓展应用场景。
A-level Computer Science is a comprehensive curriculum designed for students in the United Kingdom and other countries following the Cambridge International or Edexcel syllabi. It provides foundational knowledge of computer science, including programming, algorithms, data structures, computer architecture, and software development principles. The core topics typically covered in the A-level Computer Science syllabus include: 1. **Programming**: Students are expected to understand and write programs using high-level languages such as Python, Java, or C++. They should be proficient in control structures, functions, arrays, and object-oriented programming concepts[^1]. 2. **Data Representation**: This includes understanding binary numbers, hexadecimal notation, character encoding (e.g., ASCII, Unicode), and how images, sound, and video are represented digitally[^1]. 3. **Computer Systems**: This area covers hardware components, the fetch-decode-execute cycle, memory management, input/output devices, and the role of operating systems in managing system resources. 4. **Computer Architecture**: The von Neumann model, instruction sets, and the role of registers and buses are key points in this section. Students also explore how machine instructions are executed and how assembly language operates[^1]. 5. **Communication and Internet Technologies**: Topics here include network topologies, protocols like TCP/IP, HTTP/HTTPS, and the structure of the internet. Security aspects such as encryption and firewalls are also covered[^1]. 6. **Software Development**: This involves the software development lifecycle, requirements analysis, design methodologies (like UML), testing strategies, and maintenance practices[^1]. 7. **Principles of Algorithm Design**: Students learn about algorithm efficiency, sorting and searching algorithms, recursion, and complexity classes like P and NP. 8. **Database Management Systems**: Understanding relational databases, SQL, normalization, and transaction processing forms part of the syllabus[^1]. 9. **Computer Ethics and Legal Issues**: This section addresses privacy, intellectual property rights, computer misuse laws, and ethical implications of computing technologies[^1]. ### Study Resources For students preparing for A-level Computer Science exams, several study resources are available: - **Official Syllabi**: - [Cambridge International A-Level Computer Science](https://www.cambridgeinternational.org) - [Edexcel A-Level Computer Science](https://qualifications.pearson.com) - **Textbooks**: - *A Level Computer Science* by Robert W. Sebesta - *Cambridge International AS and A Level Computer Science Coursebook* by Sylvia Langfield and Dave Mount - **Online Platforms**: - [CS Educator Hub](https://cseducatorhub.com) offers practice exercises and lesson plans. - [Khan Academy](https://www.khanacademy.org) has modules on algorithms, data structures, and computer science fundamentals. - [LeetCode](https://leetcode.com) and [HackerRank](https://www.hackerrank.com) provide coding challenges that help reinforce programming skills. - **Video Tutorials**: - YouTube channels like "Computerphile" and "CrashCourse" offer free educational content on various topics within computer science. ### Example Code Snippet: Sorting with Bubble Sort Here's an example of implementing bubble sort in Python, which is a common topic in A-level algorithm studies: ```python def bubble_sort(arr): n = len(arr) for i in range(n): # Last i elements are already sorted for j in range(0, n-i-1): if arr[j] > arr[j+1]: # Swap elements arr[j], arr[j+1] = arr[j], arr[j+1] return arr # Example usage unsorted_list = [64, 34, 25, 12, 22, 11, 90] sorted_list = bubble_sort(unsorted_list) print("Sorted list:", sorted_list) ``` This code demonstrates the basic mechanics of bubble sort, which is often used to teach the concept of nested loops and swapping operations in programming.
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