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If two base classes have no overlapping methods or data they are said to be independent of, or orthogonal to each other. Orthogonal in the sense means that two classes function in different dimensions and do not interfere with every other in any way. The similar derived class may inherit such classes with no complexity.
It takes away two constraints which were holding back Web developments: 1. Dependence on a one, inflexible document type (HTML) which was being much abused for tasks it was neve
Hardware Implementation for signed-magnitude data When multiplication is implemented in digital computer, we change process lightly. Here, in place of providing registe
What are various IDs associated with a process? Unix identifies each process with a unique integer known as ProcessID. The process that implements the request for creation of a
In a two stage network there are 512 inlets and outlets, r=s=24. If the probability that a given inlet is active is 0.8, calculate: Switching capacity Given: N =M =512, α
Explain dissimilar security protocols used for e-commerce applications. The e-commerce systems of today are composed of a number of components including: a commerce server, d
Parallelism based on Grain size Grain size : Grain size/ Granularity are a measure that defines how much computation is involved in a process. Grain size is concluded by count
Q. Define Print Resolution of printers? Print Resolution is the detail which a printer can give considered by how many dots a printer can put in each inch of paper. So the uni
This question can be answered either with respect to English or with respect to a language other than English. (If you you are not a native speaker of the language of your choice,
What are the advantages offered by data mining? Advantages offered through Data Mining are given below: a) Facilitates discovery of knowledge through massive, large data set
Q. Main drawbacks of CD-ROMs? The main drawbacks of CD-ROMs are: It is read only thus can't be updated Access time is longer than that of magnetic disks. Very
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