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Showing posts from January, 2024

Huffman coding Tree Structure and Shannon Foan Coding

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Huffman coding is a popular algorithm for lossless data compression. It involves creating a binary tree (Huffman tree) based on the frequency of occurrence of each symbol in the input data. ============================================================================================================================================================================================================================================================================================================================================================================================================================ Pros of Huffman Coding: Efficient Compression: Huffman coding produces variable-length codes, making it more efficient for encoding frequently occurring characters with shorter codes. Optimal Prefix Codes: The codes generated by Huffman coding are prefix-free, meaning no code is a prefix of another. This ensures unambiguous decoding. Lossless Compression: Huffman coding is a lossless com

difference between contiguous and non contiguous memory allocation

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Comparison between Internal and External Fragmentation

>link Internal and external fragmentation are concepts related to memory management in computer systems, particularly in the context of dynamic memory allocation. Here's a comparison between internal and external fragmentation: Definition: Internal Fragmentation: It occurs when memory is allocated to a process, but the allocated memory is not fully utilized. The unused memory exists within the allocated block. External Fragmentation: It occurs when free memory blocks are scattered throughout the system, making it challenging to allocate contiguous memory space to a process, even though the total free memory may be sufficient. Location: Internal Fragmentation: It happens within the allocated memory block for a specific process. External Fragmentation: It occurs outside the allocated memory blocks and refers to the gaps between them. Cause: Internal Fragmentation: It is typically caused by allocating fixed-size memory blocks, and the allocated block may be larger than the actu

Memory Mapping (Good fit, bad fit, worst fit) and their Comparison

Memory mapping refers to the technique of managing computer memory by dividing it into fixed-sized blocks and mapping logical addresses to physical addresses. When discussing memory allocation strategies like good fit, bad fit, and worst fit, we are typically referring to how free memory blocks are selected to satisfy a memory allocation request. These strategies are commonly used in memory management systems to optimize the use of available memory. Here's a brief overview of each: Best Fit: Good Fit: Best fit involves selecting the smallest available block of memory that is large enough to satisfy a memory request. This is considered a "good fit" because it minimizes wasted memory by choosing the block that best matches the size of the requested memory. However, it may lead to fragmentation over time, as small gaps between allocated blocks can accumulate. First Fit: Good Fit: First fit involves allocating the first available block of memory that is large enough to sat

Access time and Hit And Miss Ratio Math

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Cache memory, cache mapping types Comparison

Cache memory is a type of volatile computer memory that provides high-speed data access to a processor and stores frequently used computer programs, applications, and data. It plays a crucial role in improving the overall performance of a computer system by reducing the time it takes for the CPU to access data from the main memory. Cache mapping refers to the technique used to determine how data is stored and retrieved in the cache memory. There are several cache mapping techniques, each with its own advantages and disadvantages. The three main types of cache mapping are: Direct Mapping: In direct mapping, each block of main memory can be mapped to only one specific cache location. The mapping is done using a modulo function, which means that the block number in main memory is divided by the number of cache blocks, and the remainder is used to determine the cache location. This mapping is simple but can lead to conflicts, where multiple blocks in main memory map to the same cache lo

Addressing modes, Addressing modes types and Pipelining, Pipelining stages

Addressing modes in computer architecture refer to the techniques used to specify operands for instructions. The addressing mode defines how the processor interprets the operand's address, helping determine the location of the data to be manipulated or processed by an instruction. Different addressing modes provide flexibility in programming and can optimize code execution. Here are some common addressing modes: Immediate Addressing Mode: Operand is specified directly in the instruction. Example: MOV A, #5 (Move the immediate value 5 into register A). Register Addressing Mode: Operand is in a register specified in the instruction. Example: ADD B, C (Add the contents of register C to register B). Direct Addressing Mode: Operand's memory address is given directly in the instruction. Example: MOV X, [2000] (Move the contents of memory location 2000 to register X). Indirect Addressing Mode: Operand's memory address is held in another register or memory location. Example: M

Instruction set Computers (ISA), RISC, CISC

Instruction Set Architecture (ISA) is a set of rules and conventions used by computer systems to define the interface between the hardware and software components. It specifies the set of instructions that a computer can execute and the format of machine-level instructions. Two prominent architectures within the realm of ISAs are Reduced Instruction Set Computing (RISC) and Complex Instruction Set Computing (CISC). CISC (Complex Instruction Set Computing): Characteristics: Large instruction set with a wide variety of instructions. Instructions can perform complex operations and can directly manipulate memory. Variable-length instructions. Emphasis on hardware-based complexity to support a wide range of operations in a single instruction. Advantages: Can potentially reduce the number of instructions needed for a task. Compact high-level code may result in smaller program sizes. Disadvantages: More complex hardware can lead to longer instruction execution times. Increased chip c

Computer Architecture vs Computer Organization

Computer Architecture: Definition: Computer architecture is the conceptual design and fundamental operational structure of a computer system. It defines the way in which the various hardware and software components work together to form a complete computer system. Focus: It primarily deals with high-level design decisions, such as the instruction set architecture (ISA), the organization of memory, and the design of the CPU. It is concerned with the interface between the hardware and the software. Example: An example of a computer architecture decision is the choice of a specific instruction set (e.g., x86, ARM) and the design of the system's memory hierarchy. Goal: The primary goal of computer architecture is to provide a framework for building efficient and effective computer systems that meet the performance, power, and cost requirements of various applications. Computer Organization: Definition: Computer organization is more specific and deals with the low-level details of t

Banking Job Freuently asked Viva questions for CSE Graduate with Answer

Technical Knowledge: 1.Question: Explain the concept of encryption and its significance in banking. Answer: Encryption is a process of converting data into a secure format to prevent unauthorized access. In banking, it ensures the confidentiality and integrity of sensitive information during transmission and storage. Programming and Database: 2.Question: How would you design a database to store customer transactions in a banking system? Answer: I would create tables for customers, transactions, accounts, and related entities. Use proper normalization to minimize redundancy and maintain data integrity. Implementing unique identifiers and relationships would ensure a well-organized database. Security: 3.Question: What measures would you take to secure an online banking system from cyber threats? Answer: Implementing measures such as secure socket layer (SSL) for encrypted communication, multi-factor authentication, regular security audits, and keeping software up-to-date are crucial f

Baseband vs Broadband Tranmission in Data Communication

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Baseband and broadband are two different transmission techniques used in data communication. Let's explore the characteristics of each: Baseband Transmission: Definition: Baseband transmission allows the transmission of digital signals over a single channel. The entire bandwidth of the medium is used to transmit a single digital signal. Characteristics: It is typically used in short-distance communication systems. Baseband is commonly associated with digital signaling, where the entire bandwidth is dedicated to one signal. Examples of baseband transmission include Ethernet LANs, where each channel carries digital signals without modulation. Broadband Transmission: Definition: Broadband transmission involves the simultaneous transmission of multiple signals over a shared medium. The available bandwidth is divided into multiple channels, with each channel carrying a different signal. Characteristics: Broadband is often used for long-distance communication and supports higher data

Bandwidth, throughput, and latency in Data Communication

Bandwidth, throughput, and latency are important concepts in computer networks, and they are often used to describe different aspects of network performance. Let's explore each term: Bandwidth: Definition: Bandwidth refers to the maximum rate of data transfer across a network. It is often expressed in bits per second (bps) or multiples such as kilobits per second (Kbps), megabits per second (Mbps), or gigabits per second (Gbps). Analogy: Think of bandwidth as the width of a pipe. A wider pipe can carry more water (data) at a time. Throughput: Definition: Throughput is the actual amount of data that successfully travels through a network in a given period. It represents the effective data transfer rate and is usually measured in the same units as bandwidth (e.g., Kbps, Mbps, Gbps). Factors: Throughput may be affected by factors such as network congestion, packet loss, and retransmissions. Latency: Definition: Latency is the time it takes for data to travel from the source to the

Difference between FDM,TDM,WDM and their Applications

FDM (Frequency Division Multiplexing), TDM (Time Division Multiplexing), and WDM (Wavelength Division Multiplexing) are different multiplexing techniques used in telecommunications and networking to efficiently transmit multiple signals over a shared medium. Each technique has its own advantages and applications. Frequency Division Multiplexing (FDM): Principle: FDM divides the available bandwidth into multiple non-overlapping frequency bands, and each channel is allocated a specific frequency band. Applications: Traditional analog television broadcasting. Radio broadcasting. Cable television (CATV) systems. Time Division Multiplexing (TDM): Principle: TDM divides the time into discrete slots, and each channel is assigned a specific time slot. Data from each channel is transmitted in its designated time slot. Applications: Telephony (e.g., in digital telephone networks). Digital cross-connect systems. Asynchronous Transfer Mode (ATM) networks. Time-division multiplexed optical netwo

Data Communication and Networking Chapter 03 Math and Chapter 06

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Chapter 6th Chapter 3 Math