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Articles by Kiran Kumar Panigrahi
Page 18 of 32
Difference Between Loosely Coupled and Tightly Coupled Multiprocessor System
A computing system which consists of more than two processors is known as a multiprocessor system. Multiprocessor systems are broadly classified into two categories− loosely coupled multiprocessor system and tightly coupled multiprocessor system. In a loosely coupled multiprocessor system, the degree of coupling between different processor is low; whereas a tightly coupled multiprocessor system has high degree of coupling between different processors of the system. Read this article to find more about loosely coupled and tightly coupled multiprocessor systems and how they are different from each other. What is a Loosely Coupled Multiprocessor System? A multiprocessor which has very ...
Read MoreDifference between Incremental Model and WaterFall Model
The Waterfall model and the Incremental Model are widely used in software development. The objective of having these models is to ensure that the software is developed in a systematic, organized and efficient manner. Read this article to find out more about the Waterfall model and the Incremental model and how they are different from each other. What is the Incremental Model? The incremental Model is a software development model in which the entire model is divided into various sub−development phases where the corresponding testing phase for each development phase is practiced. The execution of the phases, i.e., ...
Read MoreDifference Between Huffman Coding and Shannon Fano Coding
The primary function of a communication system is to transfer a message signal from a sender to the receiver. In the process of data transfer, the signal used to transfer the data should have the necessary properties required for the transmission as per the transmission channel. Hence, there are some information coding techniques used to transform the message signal into a transferrable signal through the transmission channel. Two of such information coding schemes are Huffman Coding and Shannon Fano Coding. The most basic difference between Huffman Coding and Shannon Fano Coding is that the Huffman coding provides a variable ...
Read MoreDifference Between Hard link and Soft link
In computer networks, links are the pointers associated with files and directories. These links are of two types: Hard Links and Soft Links. A hard link is a direct reference to a file, while a soft link is a reference by name. Thus, a soft link points to a file by its file name. Read this article to find out more about hard links and soft links and how they are different from each other. Let's start with a basic overview of hard links and soft links so that it becomes easier to differentiate them. What is a Hard Link? The ...
Read MoreDifference between GIF and PNG
GIF and PNG are types of image formats to store images. Both GIF and PNG are pixelbased image formats. Both use lossless compression algorithms and support transparency. GIF images support animation as well. Read this article to find out more about GIF and PNG formats and how they are different from each other. Let's start with a brief overview of these two image formats. What is GIF? GIF stands for Graphical Interchange Format. GIF is an image file format that uses lossless compression algorithm. Therefore, the GIF images are of high quality, but a GIF image supports only 256 colors. ...
Read MoreDifference Between E-R Model and Relational Model in DBMS
In Database Management Systems (DBMS), the ways of designing databases at physical, logical, and view levels are referred to as Data Models. There are two popular data models− the ER Model and the Relational Model. The fundamental difference between the ER Model and the Relational Model is that the ER Model is an entityspecific data model, while the relational model is a table specific model. Read this article to find out more about the ER Model and the Relational Model and how they are different from each other. What is ER Model? ER Model, short for Entity Relationship Model, is ...
Read MoreDifference Between Direct and Indirect Addressing Modes
There are two types of addressing modes, namely, direct addressing mode and indirect addressing mode. In direct addressing mode, the actual address of the data is mentioned in the instructions itself. On the other hand, indirect addressing mode contains the effective address of the memory location where the actual address of the data resides. Read this article to find out more about direct and indirect addressing modes and how they are different from each other. Let's start with a basic introduction of these two types of addressing modes. What is Direct Addressing Mode? The Direct addressing mode is one that ...
Read MoreDifference between Decoder and Demultiplexer
Both decoder and demultiplexer are types combinational logic circuits used for implementing different types of digital systems. However, the function of a decoder is completely different from that of a demultiplexer. A decoder is a combination logic circuit that decrypts an input data stream from one format to another, whereas a demultiplexer is a combination circuit that routes the data from one input line to any of the multiple output lines. Read this article to find out more about decoders and demultiplexers and how they are different from each other. Let's start with a basic overview of these two combinational ...
Read MoreDifference Between Data Warehouse and Data Mart
Both data warehouses and data marts serve the same purpose; they are data repositories. However, we can differentiate a data warehouse from a data mart on the basis of the amount of data they can store. A data warehouse a large repository of data that is collected from different organizations, whereas a data mart is a logical subset of a data warehouse. Read this article to find out more about data warehouses and data marts and how they are different from each other. Let's start with a basic overview of the two. What is a Data Warehouse? Data Warehouse is ...
Read MoreDifference between Data Mining and Big Data
Big Data represents the vast amount of data that can be structured, semi−structured, and unstructured sets of data ranging in terms of terabytes. In contrast, Data Mining is the process of discovering meaningful new correlations, patterns, and trends by sifting through a large amount of data stored in repositories, using pattern recognition technologies as well as statistical and mathematical techniques. Data mining utilizes tools like machine learning, visualization, statistical models, etc. to extract the useful data from the Big Data. Read this article to find out more about Data Mining and Big Data and how they are different from each ...
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