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A.
 
http://www.io.com/~hcexres/textbook/feas.html
http://www.scribd.com/doc/242832/Feasibility­Report
http://www.marketwire.com/press­release/Rusoro­Receives­Pre­Feasibility­
Report­on­the­SREP­Project­TSX­VENTURE­RML­1257773.html
 
B.
 
・ It is important to be written Future Development.
・ It is important to be written Details of Pre­Feasibility Study.
・ It is important to be written Most Feasible Solution.
・ How to write is written about Feasibility Reports in detail. 
・ It is important to be written Detailed Report.
 
C.
 
It only has to adopt Schematic view of the whole­to­whole and the part­by­
part approaches to organizing a comparison and Schematic view of 
recommendation and feasibility reports.
 
D.
 
We don't understand to write well.  Because it is variously insufficient for our 
project, We refer to the examined reference document and the insufficient 
point is supplemented with our project.   

Current prediction conversion system has two criminal weak points;

1. Memory burden is high
2. It slow to correspondence net slang and the new noun of the prosperity. 
User have to wait for version up.

I should be certainly popular if I can solve this problem.
To solve these problem, I propose the "Share Predicate Dictionary System" and 
a "Personal Prediction Conversion Package" .
This main merit is three;

1. Memory burden is a little.

2. it's light. Don't be awaiting a prediction, and there is not irritation.

3. Be able to cope with the prosperity of rapid net slang.

But there is the demerit, too. 
It is not use SPDS within interruption.

I refer to a history and the telephone book of the reading site of the user to 
bury this demerit and make service I make the package of the candidate most 
suitable prediction automatically, and to offer. I completely perform the 
conversion that depended on this package in the offline and use this package 
and a prediction conversion candidate of the grant that continues being 
updated one by one by a net in the online environment. 

In addition, I reinforce it to let a prediction conversion candidate fill up if I 
receive the conversion history of the user, and there are unknown words.

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