DocumentCode :
1652239
Title :
Mathematical model and computer simulation of text reproduction based upon “Quantity Rather Than Quality” concept
Author :
Kawabe, Hiroyuki ; Sugimori, Kimikazu ; Shimomura, Yuko ; Seto, Shuichi
Author_Institution :
Kinjo Univ., Ishikawa, Japan
fYear :
2010
Firstpage :
1
Lastpage :
4
Abstract :
Generally, in universities it is ordinary that a small number of experts of the note taking support the hearing impaired because of the difficulty of taking a note simultaneously with hearing a lecture. The purpose of this research project is to construct a new note taking system, namely, the note taking system based upon “Quantity Rather Than Quality” concept. The origin of the name of our system is that in our system many beginners of the note taking, who is an alternative way of a skilled note taker, type the text data and finally reproduce the lecture note with the similar quality as experts do. In this study, we present the mathematical model of our note taking system. We confirm that the increase of the number of people brings the improvement of the accuracy of the input result, and the increase of the probability of correct input brings the expectation value of probability under fixing the number of persons. Finally, we give the results of computer simulation of the model and discuss the feasibility of our concept in detail.
Keywords :
mathematical analysis; text analysis; computer simulation; lecture note; mathematical model; note taking system; probability; quantity rather than quality concept; skilled note taker; text data; text reproduction; Accuracy; Auditory system; Computer simulation; Education; Mathematical model; Probability; Speech recognition; “Quantity Rather Than Quality”; Mathematical Model; Note Taking System;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers and Industrial Engineering (CIE), 2010 40th International Conference on
Conference_Location :
Awaji
Print_ISBN :
978-1-4244-7295-6
Type :
conf
DOI :
10.1109/ICCIE.2010.5668281
Filename :
5668281
Link To Document :
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