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L3 Writing Results and Experiment_E

Jul 05, 2018

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    Marina, Rogayah, Roziana, Shuzlina, Sofianita; FTMSK, UiTM, 2007 ITC599/ITS90  

     

    CSP650

     PROJECT IT

    Department of Systems Science, FTMSK  

     Lesson 3

    Writing Research Experiment and Res!ts

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    Marina, Rogayah, Roziana, Shuzlina, Sofianita; FTMSK, UiTM, 2007 ITC599/ITS90  

    Experiment and Results

    Purpose?

    What type of output to

    measure?

     Type of experiment

    How to influence reader? Example

    Outline

    Keep right on to the

    end of the road.

    -- Harry Lauder 

    http://www.isd77.k12.mn.us/resources/cf/SciProjIntro.html

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    Marina, Rogayah, Roziana, Shuzlina, Sofianita; FTMSK, UiTM, 2007 ITC599/ITS90  

     The basic idea is to make sure thata reader be able to grasp yourmajor findings either by readingthe text or by looking at thefigures and tables.

     

    Overview

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    Marina, Rogayah, Roziana, Shuzlina, Sofianita; FTMSK, UiTM, 2007 ITC599/ITS90  

    'ample of type of expected output from project or

    researchPrototype of application (i&e hci) flow of the application* +pplication with experiment (i&e testin" on several mode

    of experiment*

     +nalysis of o#servation (survey$%uestionnaires*

     +ssessment of theory

     ,odel

     -ramewor. 

    /ntroduction

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    Marina, Rogayah, Roziana, Shuzlina, Sofianita; FTMSK, UiTM, 2007 ITC599/ITS90  

    0ata

    all o#servations data

     data that you "et from your experiment

    +nalye your dataPresent them in the form of fi"ures ("raphs*) ta#les) and$or

    descriptions of o#servations$experiments

    Results must have continuation) descri#e the relationship of

    each section of data&result to the overall study&The ta#le or fi"ure should then #e presented) complete with

    title& 

    Result

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    Place raw data at the #ac. of the report as

    an appendix) if needed& The appendix is

    also appropriate for any sample

    calculations that are needed) such as hand!

    wor.ed statistical analyses or raw

    calculations that show how you arrived at

    reported values&&

    0o not draw conclusions in the results

    section& Reserve data interpretation for the

    discussion&

    Result

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    1omparin" results from previous

    experiment2

    The result shown2

    Result

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    Writin" result from experiment 3 neural

    networ. trainin" and testin"

    Example

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    Example

    LPR 

     prototype

    Image preprocessing Kohonen

    SOM engine

    Recognized license plate

    output!

    "haracter recognition

    input in #inary!

    "haracter $alidation

    %      r    

     a    i      n    i      n    

      g    

    License plate num#er

    image

    &4ohonen en"ine for

    5ecense Plate

    Reco"ntion 

    &  Experiment ' &Size of map& radious&Parameter & iteration

    Research Model

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    Example'ie of ,ap /nitial

    Radius

    /nitial

    5earnin"

    Rate

    Trainin"

    Epochs

    Trainin" Time

    (s*

    Reco"nition

    Rate (6*

    () * ()

    ()) neurons in

    Kohonen map!

    + ).( ()) ()

    +)) ,,.(

    ())) (+

    (./

    ))) /((./

    ).+ ()))   0.+,

    7889 :;&

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    Example'ie of ,ap /nitial

    Radius

    /nitial

    5earnin" Rate

    Trainin"

    Epochs

    Trainin" Time

    (s*

    Reco"nition

    Rate (6*

    (2 * (2

    +2 neurons in

    Kohonen map!

    0   ).( ()) 2.1

    +))( 2.1

    ()))+ /+.,(

    )))+) +).))

    ).+ ()) (./

    +))( 2.1

    ())) +,.(

    )))+) +).))

    ).1 ()) .02

    +))( +,.(

    >888

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    Example

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    Example

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    Example

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    Results :

    Important Elements

    Summary of results ! Describe the key results obtained with

    accompanyin! fi!ures and !raphs of raw results

    "nalysed data ! #resent any $converted% data obtained from an

    analysis of the raw data&

     ! 'ake sure to describe what conversion procedurewas used

    Relevant details ! (i!hli!hts for the reader any noteworthy

    observations

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    Results :

    )ips and *ommon 'istakes

    )ips and +uidelines

     ! Don,t interpret or draw conclusions from your data in this

    section

     ! Describe results in the past tense ! #resent your results in some lo!ical order chronolo!ical order

    is often not the best way.

    *ommon mistakes

     ! Raw data ! Redundancy

     ! Discussion and interpretation of data

     ! /o fi!ures or tables

     ! 'ethods0materials reported

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    References Dawson *&1 2333. )he Essence of *omputin! #ro4ects: "

    Students +uide

    5ance *ooper and *elia Elliott )ips for 1ritin! 6our )hesis: )he

    7ey Elements of a Scientific #aper • Authors XX (2005)Writing Scientific Manuscripts: A

    guide for undergraduates, Journal of Young Investigators

    • http://www.cs.purdue.edu/hoes/dec/essa!.dissertation.ht"

    • http://www.nmas.org/JAhowto.html

    • http://www.isd.k!".mn.us/resources/cf/#ci$roj%ntro.html