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Optical Mark Recognition (OMR):
OMR is the scanning of paper to detect the presence or absence of a mark in a predetermined position. Now days, it is used as an input device for source data entry purposes.
Universities and colleges often use OMR for the evaluation of OMR sheets for competitive exams. OMR sheets consist of multiple choice question papers and students are required to make a mark to indicate their answers. OMR is used in the evaluation of questionnaires, surveys and university exam OMR sheets.
Liquid Crystal Displays (LCD): First introduced in watches and clocks in the1970's, LCDs are now used to display images in monitors. A newer technology in computer screens is
They are used to reduce or enlarge the content of the counters. DEC INC DEC INSTRUCTION Idea: To diminish the operator. Syntax: DEC destiny This action subtracts 1 from the destiny
Database Management Software: For storage of large amounts of varied data, and rapid retrieval and interpretations of data, the database is the ideal tool. It is most useful for s
WAP TO ACCEPT MARKS OF THREE SUBJECT FOR STUDENT & CALCULATE TOTAL MARKS AND PERCENTAGE
QUESTION (a) Convert each of the following expressions to prefix and postfix. (i) (A+B)*(C+D) (ii) A-B/(C*D^E) (^ denotes exponentiation) (b) The following algorithm c
write and run the following programs using 8086 assembly language that interchange the upper and lower four bits of AL register.
DESIGNING COMPUTER BASED INFORMATION SYSTEMS Background The role of Management Information Systems (MIS) in an organization can be considered as providing
Optical Fibres: Coaxial cables have limitations such as broadband transmission medium which can be overcome by the use of optical fibres. Optical fibres carry light waves (rep
COMPUTER INPUT: Figure shows input information for a typical airborne digital computer. The sensors in Figure develop analogue electrical signals representing: -
Hi I have a 8 question machine learning problem sheet due to the 25th of december. The exercises require knowledge of basic classifiers, logistic regression, naive bayes, mixture o
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