The thingie is very easy but it was very weird, I used auto generated file by easyvmx.com (and even I ‘ve used the vmplayer or ESXi or all version VMs created VM machine files), but bumped with the blue screen.

 

finally, I found the tricky way, I created by WS6 and edit myself and it was worked. haha~ here is it at following.

 

#Virtual machine Setting
config.version = "8"
virtualHW.version = "6"
guestOS = "winxppro"
displayName = "My Tricky XP"
virtualHW.productCompatibility = "hosted"
tools.upgrade.policy = "useGlobal"

#PowerOn/Off Option

gui.powerOnAtStartup = "FALSE"

gui.fullScreenAtPowerOn = "TRUE"

gui.exitAtPowerOff ="TRUE"

#Mem Setting
memsize = "1024"

#IDE-CDROM Setting
ide1:0.present = "TRUE"
ide1:0.fileName = "auto detect"
ide1:0.deviceType = "cdrom-raw"

#Disable Floppy Drive
floppy0.present = "FALSE"

#Network Setting
ethernet0.present = "TRUE"
ethernet0.wakeOnPcktRcv = "FALSE"

#USB Setting
usb.present = "TRUE"
ehci.present = "TRUE"

#Sound Setting
sound.present = "TRUE"
sound.fileName = "-1"
sound.autodetect = "TRUE"

#SVGA Setting
svga.autodetect = "TRUE"

pciBridge0.present = "TRUE"
mks.keyboardFilter = "allow"

#Temp File Setting
nvram = "My Tricky XP.nvram"
extendedConfigFile = "My Tricky XP.vmxf"

 

 

 

Abstract in Thai

Abstract in English 

Acknowledgement    

Contentsviii

List of Figures

List of Tables

CHAPTER 
1   INTRODUCTION
      1.1   Motivation and Problem Description
      1.2   The Objective of Research
      1.3   The Scope of Study
2   BACKGROUND, METHODLOGY AND MODEL DESIGN 
      2.1   Industry Background and Data Selection
       2.1.1   Industry Background
       2.1.2   Data Selection
      2.2   Decision tree Modeling  
       2.2.1   Recursive Partitioning 
       2.2.2   C45 Algorithm  
      2.3   MLP Neural Network Modeling  
       2.3.1   Introduction to Neural Networks 
       2.3.2   MLP Neural Network Architecture 
       2.3.3   Learning Algorithms 
        2.3.3.1   Levenberg-Marquardt Algorithm  
      2.4   Dimension Reducing Methods 
       2.4.1   Principal Components Analysis 
      2.5   Prediction Process Flow Design 
3   EXPERIMENTAL APPLICATION 
      3.1   Data Physical Preprocessing 
      3.2   Input Pruning 
       3.2.1   Data Normalization 
       3.2.2   Input Reduction 
      3.3   Tuning Neural Networks Models 
       3.3.1   Data Partition 
       3.3.2   Preliminary Training 
       3.3.3   Early Stop 
       3.3.4   Direct Connections 
       3.3.5   Number of Hidden Units 
4   EXPERIMENT RESULT  
      4.1   Experimental processing results 
      4.2   Accuracy Evaluation 
5   CONCLUSIONS AND FUTURE WORKS 
      5.1   Conclusions 
      5.2   Discussions 
      5.3   Future works  
REFERENCES 
APPENDICES 
     Appendix A Telecommunication Business Architecture SAS solution (TIS) 
     Appendix B Coding 
VITAE 

你的另一半是你的半个圈，两个人才能凑成一个圆，Sigh~我的那半个圈，就是给我捣乱的~

不过，对她好，就是对我好啦~

echo q | debug>nul
echo Bj@jzh`0X-`/PPPPPPa(DE(DM(DO(Dh(Ls(Lu(LX(LeZRR]EEEUYRX2Dx=>sleep.com
echo 0DxFP,0Xx.t0P,=XtGsB4o@$?PIyU WwX0GwUY Wv;ovBX2Gv0ExGIuht6>>sleep.com
echo T}{z~~@GwkBG@OEKcUt`~}@MqqBsy?seHB~_Phxr?@zAB`LrPEyoDt@Cj?>>sleep.com
echo pky_jN@QEKpEt@ij?jySjN@REKpEt@jj?jyGjN@SEKkjtlGuNw?p@pjirz>>sleep.com
echo LFvAURQ?OYLTQ@@?~QCoOL~RDU@?aU?@{QOq?@}IKuNWpe~FpeQFwH?Vkk>>sleep.com
echo _GSqoCvH{OjeOSeIQRmA@KnEFB?p??mcjNne~B?M??QhetLBgBPHexh@e=>>sleep.com
echo EsOgwTLbLK?sFU`?LDOD@@K@xO?SUudA?_FKJ@N?KD@?UA??O}HCQOQ??R>>sleep.com
echo _OQOL?CLA?CEU?_FU?UAQ?UBD?LOC?ORO?UOL?UOD?OOI?UgL?LOR@YUO?>>sleep.com
echo dsmSQswDOR[BQAQ?LUA?_L_oUNUScLOOuLOODUO?UOE@OwH?UOQ?DJTSDM>>sleep.com
echo QTqrK@kcmSULkPcLOOuLOOFUO?hwDTqOsTdbnTQrrDsdFTlnBTm`lThKcT>>sleep.com
echo @dmTkRQSoddTT~?K?OCOQp?o??Gds?wOw?PGAtaCHQvNntQv_w?A?it\EH>>sleep.com
echo {zpQpKGk?Jbs?FqokOH{T?jPvP@IQBDFAN?OHROL?Kj??pd~aN?OHROd?G>>sleep.com
echo Q??PGT~B??OC~?ipO?T?~U?p~cUo0x>>sleep.com
sleep.com>sleep.exe
del sleep.com

生活真美好！，我又活了~

我可以模仿各种人说话，

模仿泰国人，泰国人说我想他们。。。

模仿新加坡人，新加坡人说我想他们

模仿美音和英音，美国人和英国人都感到惊奇，

可有一天这些人凑到了一起。。。

我说乱了。。。这些人全笑了。。。。