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"

【电动汽车充电站有序充电调度的分散式优化】基于蒙特卡诺和拉格朗日的电动汽车优化调度(分时电价调度)(Matlab代码实现)内容概要:本文介绍了基于蒙特卡洛和拉格朗日方法的电动汽车充电站有序充电调度优化方案,重点在于采用分散式优化策略应对分时电价机制下的充电需求管理。通过构建数学模型,结合不确定性因素如用户充电行为和电网负荷波动,利用蒙特卡洛模拟生成大量场景,并运用拉格朗日松弛法对复杂问题进行分解求解,从而实现全局最优或近似最优的充电调度计划。该方法有效降低了电网峰值负荷压力,提升了充电站运营效率与经济效益,同时兼顾用户充电便利性。 适合人群:具备一定电力系统、优化算法和Matlab编程基础的高校研究生、科研人员及从事智能电网、电动汽车相关领域的工程技术人员。 使用场景及目标:①应用于电动汽车充电站的日常运营管理,优化充电负荷分布;②服务于城市智能交通系统规划,提升电网与交通系统的协同水平;③作为学术研究案例,用于验证分散式优化算法在复杂能源系统中的有效性。 阅读建议:建议读者结合Matlab代码实现部分,深入理解蒙特卡洛模拟与拉格朗日松弛法的具体实施步骤,重点关注场景生成、约束处理与迭代收敛过程,以便在实际项目中灵活应用与改进。
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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