Skip to main content

html(conti.)

FRAME
Html provides a facility to divide a web page into several blocks is known as frames. Each frame may display a separate web page and html document window in a one browser.  All browsers do not support the frames. The general use of frame is to have the menu in one frame and other frame contain the data. When user click on menu frame and data is displayed in corresponding frame.  
Frame is started by using tags <frameset> and ends with </frameset>.
Frame layout
Frameset tag requires two attributes in which the screen is divided into rows and columns.
Row-this attributes is used to divide page into multiple column or horizontally. Value of row is indicating the height of frame. For example-
                Rows=”20%,”
                Rows=”30%, 40%, 30%”
Column- this attributes is used to divide page into multiple column or horizontally. Value of row is indicating the height of frame. For example-
                  Cols=”20%,”
                  Cols=”25%, 25%, 50%”



Frame element
Attributes of the frame are as follow:
Tag name
Description
Name
It gives the unique name of the frame
Src
It specifies the url of the document to be loaded
Noresize
It disable the frame resizing property
Marginwidth
It specifies the amount of margin left along left or right side of the frame
Marginheight
It specifies the amount of margin left along top or bottom of the frame
Scrolling
Control the display of horizontal and vertical scroll bar in frame
-         Yes
Scrollbar is added always
-         No
No scrollbar is provided
-         Auto
Scrollbar will be added when it is required
Frameboarder
It indicate the boarder information about the frame
-         1
A boarder will be drawn
-         0
No boarder
  
Specifying target in frame
The target attribute is used to create links such as <a>,<link>,<area>,<form>,etc. the value of these attribute refers to the frame where document is to be loaded.
For example:-
<html>
<head>
<title> target </title>
</head>
<body>
<a href=http://www.google.com target=”right”>google</a>
</body>
</html>

Labels:

Comments

Post a Comment

Popular posts from this blog

Advantages and Disadvantages of EIS Advantages of EIS Easy for upper-level executives to use, extensive computer experience is not required in operations Provides timely delivery of company summary information Information that is provided is better understood Filters data for management Improves to tracking information Offers efficiency to decision makers Disadvantages of EIS System dependent Limited functionality, by design Information overload for some managers Benefits hard to quantify High implementation costs System may become slow, large, and hard to manage Need good internal processes for data management May lead to less reliable and less secure data
1 comment
Read more

Inter-Organizational Value Chain

The value chain of   a company is part of over all value chain. The over all competitive advantage of an organization is not just dependent on the quality and efficiency of the company and quality of products but also upon the that of its suppliers and wholesalers and retailers it may use. The analysis of overall supply chain is called the value system. Different parts of the value chain 1.  Supplier     2.  Firm       3.   Channel 4 .   Buyer
Post a Comment
Read more

Big-M Method and Two-Phase Method

Big-M Method The Big-M method of handling instances with artificial  variables is the “commonsense approach”. Essentially, the notion is to make the artificial variables, through their coefficients in the objective function, so costly or unprofitable that any feasible solution to the real problem would be preferred, unless the original instance possessed no feasible solutions at all. But this means that we need to assign, in the objective function, coefficients to the artificial variables that are either very small (maximization problem) or very large (minimization problem); whatever this value,let us call it Big M . In fact, this notion is an old trick in optimization in general; we  simply associate a penalty value with variables that we do not want to be part of an ultimate solution(unless such an outcome is unavoidable). Indeed, the penalty is so costly that unless any of the  respective variables' inclusion is warranted algorithmically, such variables will ...
Post a Comment
Read more