Transmission modes in computer networks

Transmission mode

Transmission mode means Transferring of data between two devices.It is of 3 types .These are -

(1)Simplex mode-

Simplex mode of transmission is the simple method of communication.In this type of transmission ,data can be send only through one direction i.e, communication is unidirectional.In this type of transmission, receiver can not send a reply to the sender. Examples are Television remote , keyboard etc.

(2)Half-duplex mode-

In half-duplex mode each station can both transmit and receive but can't do both simultaneously.It means when the sender sending data ,at that time receiver can't sends data to the sender.When one device is sending,the other can only receive . Example :-Walkie-talkie .

(3)Full-duplex mode-

In this type of transmission ,both station can transmit and receive data simultaneously .It means whenever a sender is sending data to the receiver ,at that time receiver can be able to sending data to sender along with receiving data from sender.Example-Telephone network .

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TCP/IP Model

TCP/IP stands for Transmission control protocol/Internet protocol.TCP is a transport layer protocol and IP is a network layer protocol .TCP and IP both are different protocol but by the help of these two protocol ,TCP/IP model was developed.TCP/IP model defines how data is transferred from one computer to another.When two devices communicates with each other through the help of internet ,it is possible only for TCP/IP model .The TCP/IP model consists of 4 layers.These are :- (1) Application layer:- -This layer performs the function of the top three layer of the OSI model,i.e.Application layer , presentation layer and session layer . -The application layer is the top-most layer of the TCP/IP model. -The application layer provides the user with the interface to communication. -There are several protocols used by the application layer for interaction such as:FTP,HTTP, SMTP,DNS,TELNET etc. -The application layer sends data to transpo...

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Linear Regression in Power BI

Linear Regression is Predictive model used for finding the linear relationship between a dependent and one or more independent variables. In regression the dependent variable has to be continuous numerical (not categorical like Green, Yellow etc). In Simple linear regression, we have one independent variable and one dependent variable. It is also known as Univariate linear regression, as there is only one independent variable. In Multiple linear regressions, we have more than one independent variable and one dependent variable. It is also known as multivariate linear regression, as there is more than one independent variable. Now our goal is to predict the home price by using the Simple Linear Regression. (Name of the above table is SimpleLinearRegression ) In this table we have the prices of home based on the Area of that home. Here we have to predict the Price based on the given Area. As we are predicting the price based on the area. So, Price is the dependent variable and ...

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