computer-nec-license
  • NEC-Computer
  • 1. Concept of Basic Electrical and Electronics Engineering
    • 1.1 Basic Concepts
    • 1.2 Network Theorems
    • 1.3 Alternating Current Fundamentals
    • 1.4 Semiconductor Device
    • 1.5 Signal Generator
    • 1.6 Amplifiers
    • MCQs
      • MCQs On Basic Electrical
        • set-1
        • set-2
      • MCQs On Basic Electronics
        • set-1
        • set-2
  • 2. Digital Logic and Microprocessor
    • 2.1 Digital Logic
    • 2.2 Combinational & Arithmetic Circuit
    • 2.3 Sequential Logic Circuits
    • 2.4 Microprocessor
    • 2.5 Microprocessor System
    • 2.6 Interrupt Operations
    • MCQs
      • MCQs On Digital Logic
        • set-1
        • set-2
        • set-3
        • set-4
        • set-5
        • set-6
        • set-7
        • set-8
        • set-9
        • set-10
        • set-11
        • set-12
      • MCQs On Microprocessor
        • set-1
        • set-2
        • set-3
        • set-4
        • set-5
        • set-6
        • set-7
        • set-8
        • set-9
  • 3. Programming Language and Its Applications
    • 3.1 Introduction to C Programming
    • 3.2 Pointers, Structures, and Data Files
    • 3.3 C++ Language Constructs with Objects and Classes
    • 3.4 Features of Object-Oriented Programming
    • 3.5 Pure Virtual Functions and File Handling
    • 3.6 Generic Programming and Exception Handling
    • MCQs
      • set-1
      • set-2
      • set-3
      • set-4
      • set-5
  • 4. Computer Organization and Embedded System
    • 4.1 Control and CPU
    • 4.2 Computer Arithmetic and Memory System
    • 4.3 I/O Organization and Multiprocessor
    • 4.4 Embedded System Design
    • 4.5 Real-Time Operating and Control Systems
    • 4.6 Hardware Description Language (VHDL) and IC Technology
    • MCQs
      • set-1
      • set-2
      • set-3
      • set-4
      • set-5
      • set-6
      • set-7
      • set-8
      • set-9
      • set-10
      • set-11
  • 5. Concept of Computer Network and Network Security System
    • 5.1 Introduction to Computer Networks
    • 5.2 Data Link Layer
    • 5.3 Network Layer
    • 5.4 Transport Layer
    • 5.5 Application Layer
    • 5.6 Network Security
    • MCQs
      • Basic Networking
        • set-1
        • set-2
      • Advanced Networking
        • set-1
        • set-2
        • set-3
        • set-4
        • set-5
        • set-6
  • 6. Theory of Computation and Computer Graphics
    • 6.1 Introduction to Finite Automata
    • 6.2 Introduction to Context-Free Languages (CFL)
    • 6.3 Turing Machines (TM)
    • 6.4 Introduction to Computer Graphics
    • 6.5 Two-Dimensional Transformation
    • 6.6 Three-Dimensional Transformation
    • MCQs
      • MCQs on Theory of Computation
        • set-1
        • set-2
        • set-3
      • MCQs On Computer Graphics
        • set-1
        • set-2
        • set-3
        • set-4
        • set-5
        • set-6
  • 7. Data Structures and Algorithm, Database System and Operating System
    • 7.1 Introduction to Data Structures, Lists, Linked Lists, and Trees
    • 7.2 Sorting, Searching, Hashing and Graphs
    • 7.3 Introduction to Data Models, Normalization, and SQL
    • 7.4 Transaction Processing, Concurrency Control, and Crash Recovery
    • 7.5 Introduction to Operating System and Process Management
    • 7.6 Memory Management, File Systems, and System Administration
    • MCQs
      • MCQs ON DSA
        • set-1
        • set-2
        • set-3
        • set-4
        • set-5
        • set-6
      • MCQs On DBMS
        • set-1
        • set-2
      • MCQs On Operating System
        • set-1
        • set-2
        • set-3
        • set-4
        • set-5
        • set-6
        • set-7
        • set-8
        • set-9
        • set-10
        • set-11
        • set-12
  • 8. Software Engineering and Object-Oriented Analysis & Design
    • 8.1 Software Process and Requirements
    • 8.2 Software Design
    • 8.3 Software Testing, Cost Estimation, Quality Management, and Configuration Management
    • 8.4 Object-Oriented Fundamentals and Analysis
    • 8.5 Object-Oriented Design
    • 8.6 Object-Oriented Design Implementation
    • MCQs
      • set-1
      • set-2
      • set-3
      • set-4
      • set-5
      • set-6
      • set-7
      • set-8
      • set-9
  • 9. Artificial Intelligence and Neural Networks
    • 9.1 Introduction to AI and Intelligent Agents
    • 9.2 Problem Solving and Searching Techniques
    • 9.3 Knowledge Representation
    • 9.4 Expert System and Natural Language Processing
    • 9.5 Machine Learning
    • 9.6 Neural Networks
    • MCQs
      • set-1
      • set-2
      • set-3
      • set-4
      • set-5
      • set-6
      • set-7
      • set-8
      • set-9
  • 10. Project Planning, Design and Implementation
    • 10.1 Engineering Drawings and Its Concepts
    • 10.2 Engineering Economics
    • 10.3 Project Planning and Scheduling
    • 10.4 Project Management
    • 10.5 Engineering Professional Practice
    • 10.6 Engineering Regulatory Body
    • MCQs
      • MCQs On Engineering Drawing
        • set-1
        • set-2
      • MCQs On Engineering Economics
      • MCQs On Project Planning & Scheduling
      • MCQs On Project Mangement
      • MCQs On Engineering Professional Practice
      • MCQs On Engineering Regulatory Body
  • Questions Sets
    • Set 1 (Chaitra, 2080)
      • Short Questions (60*1=60 Marks)
      • Long Questions (20*2=40 Marks)
    • Set 2 (Aasadh, 2081)
      • Short Questions (60*1=60 Marks)
      • Long Questions (20*2=40 Marks)
    • Set 3 (Asojh, 2080)
      • Short Questions (60*1=60 Marks)
      • Long Questions (20*2=40 Marks)
    • Model Set - Computer Engineering By NEC
      • Short Questions (60*1=60 Marks)
      • Long Questions (20*2=40 Marks)
    • Model Set - Software Engineering By NEC
      • Short Questions (60*1=60 Marks)
      • Long Questions (20*2=40 Marks)
  • Tips & Tricks
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  • 1. Embedded System Classification and Architecture
  • 2. Application-Specific Instruction-Set Processors (ASIPs)
  • Conclusion
  1. 4. Computer Organization and Embedded System

4.4 Embedded System Design

This section covers the basics of embedded systems design, including their classification, architecture, and specialized processors designed for specific applications.


1. Embedded System Classification and Architecture

An embedded system is a specialized computing system designed to perform specific tasks. Unlike general-purpose computers, embedded systems are dedicated to particular functions, typically within a larger system, and are often constrained by power, size, and cost considerations.

Classification of Embedded Systems

Embedded systems can be classified based on various factors, such as their functionality, complexity, and hardware design. The most common classification methods include:

  • Based on Performance and Functional Requirements:

    • Real-Time Embedded Systems: These systems have strict timing constraints and must perform operations within a defined time frame. Examples include automotive systems, medical devices, and industrial controllers.

    • Stand-Alone Embedded Systems: These systems perform tasks independently without external input once configured. Examples include microwave ovens and digital cameras.

    • Networked Embedded Systems: These systems communicate with other systems through a network, often found in smart devices or IoT (Internet of Things) applications.

    • Mobile Embedded Systems: Systems that are portable and battery-powered, like smartphones, wearables, and portable media players.

  • Based on the Processor:

    • Microcontroller-based Embedded Systems: These systems use a microcontroller (MCU) that integrates a processor, memory, and peripherals into one chip. They are commonly used in low-cost applications such as home appliances, toys, and embedded gadgets.

    • Microprocessor-based Embedded Systems: These systems use a microprocessor (CPU) and are often used in more complex embedded applications that require greater processing power, such as automobiles or medical imaging systems.

    • DSP-based Embedded Systems: Digital Signal Processors (DSPs) are used in systems that require high-speed mathematical computations, such as audio processing, video encoding, and radar systems.

  • Based on the Complexity:

    • Simple Embedded Systems: These systems perform a limited set of tasks and typically have minimal hardware. An example is a traffic light controller or a digital thermostat.

    • Complex Embedded Systems: These systems involve multiple processors, have substantial memory, and often interact with various sensors and actuators. Examples include automotive control systems, smartphones, and robotic systems.


Embedded System Architecture

The architecture of an embedded system generally follows a layered approach, with each layer serving a specific function. The key components of the embedded system architecture include:

  • Hardware Layer: Includes the physical components of the system, such as microcontrollers, sensors, actuators, memory devices, and power supply units.

  • Software Layer: Comprises the software that controls the system, including:

    • Firmware: Low-level software that interfaces directly with the hardware, often stored in ROM (Read-Only Memory).

    • Embedded Operating System: Provides task management, scheduling, and resource allocation. Real-time operating systems (RTOS) are commonly used in embedded systems that require real-time constraints.

    • Application Software: Software that performs specific tasks, like user interfaces or communication protocols.

  • Communication Layer: This layer handles data exchange between different devices or components, such as via I2C, SPI, UART, or wireless protocols like Wi-Fi or Bluetooth.

  • Power Management Layer: Embedded systems often operate on battery power or other limited resources, requiring efficient power management solutions.


2. Application-Specific Instruction-Set Processors (ASIPs)

An Application-Specific Instruction-Set Processor (ASIP) is a type of processor designed for specific applications or tasks, offering a balance between general-purpose processors and dedicated hardware. ASIPs allow for the customization of instructions to suit particular needs while maintaining the flexibility of software control.

Features of ASIPs

  • Customizable Instruction Set: ASIPs have the ability to define a set of instructions tailored to the target application, which can optimize performance and energy consumption.

  • Performance Optimization: By customizing the instruction set and pipeline, ASIPs can significantly enhance the performance of certain computational tasks compared to a general-purpose processor.

  • Flexibility and Adaptability: While ASIPs are application-specific, they retain the flexibility to handle a variety of similar tasks, making them versatile within a particular domain.

  • Reduced Power Consumption: Since ASIPs are optimized for specific tasks, they consume less power compared to general-purpose processors, making them ideal for embedded systems that need to be energy-efficient.


Applications of ASIPs

ASIPs are typically used in applications where there is a need for specialized processing, and where a general-purpose processor would be too slow or inefficient. Common areas where ASIPs are applied include:

  • Signal Processing: ASIPs are often used in digital signal processing (DSP) applications, such as audio, video, and image processing. They can be customized to perform complex algorithms faster and more efficiently.

  • Networking: In network routers and modems, ASIPs can be tailored to handle specific protocols or encryption algorithms more efficiently than general-purpose processors.

  • Embedded Systems: Many embedded systems that require high performance but low power consumption, such as mobile phones, automotive systems, or medical devices, use ASIPs.

  • IoT Devices: ASIPs are used in IoT devices where tasks like sensor data processing, data encryption, or communication protocols can be optimized for power and performance.


Conclusion

  • Embedded System Classification: Embedded systems are classified based on their functionality, processor type, and complexity. These systems range from simple microcontroller-based devices to complex systems with multiple processors and high-performance requirements.

  • Embedded System Architecture: The architecture of embedded systems involves hardware, software, communication, and power management layers that work together to achieve a specific task. Real-time operating systems (RTOS) and embedded software are key to managing tasks in these systems.

  • Application-Specific Instruction-Set Processors (ASIPs): ASIPs are customized processors designed for specific applications to optimize performance and energy efficiency. They are ideal for domains such as signal processing, networking, and embedded systems where specialized processing is needed.

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