RESUME
- 1. 惡惠惺悋 愕
(惘慍 擧悋惘 愕悋惡 愆悽惶 悋愀悋惺悋惠 悋慍 悋 悽悋惶)
悋-愆悽惶 悋愀悋惺悋惠:
愕惆悋忰惆惘惷悋 : 悋忰愕 : 悽悋悋惆擯 悋: 惠惆1/1/1356
悽惆惠 拆悋悋 擧悋惘惠 惆悋惘悋 : 惴 惴悋 惷惺惠悛愆悋悧 慍悋
惠愕愀 : 悋擯愕 慍惡悋 惡
擧悋拆惠惘 擧悋惘愆悋愕 : 惠忰惶 惘愆惠惘悋慍悋惘忰 惆悋愆擯悋
悋愕悋 悛慍悋惆 惆悋愆擯悋 : 惠忰惶
擧悋拆惠惘 悋惘愆惆 擧悋惘愆悋愕擯惘悋愆愆惶惺惘惡悋惠擧
惆悋愆擯悋忰惠忰惶:惆悋愆擯悋悛慍悋惆悋愕悋悋忰惆惺惠惘悋 惠忰悋惠
悋 悛惆惘愕:sahhosseiny@yahoo.com
惡-悋 拆擧悴 悋 悋慍悋惘 惘 惡悋 悛愆悋悧
1-悋 惺悋 愕愕惠 惡悋 悛愆悋悧DOSWINDOWS 98, XP,7,8WINDOWS 2000 , NT
2-悴惺 惡悋 悛愆悋悧OFFICE 97,XP,2003,2007,2010 ((愆悋:Word, Access ,Excel
,PowerpointAccess)
3-悋愀悋惺悋惠 惡悋擧 悋慍悋惘悋 惘 惡悋 悛愆悋悧foxpro2.6惠忰惠DOS
4-惠忰惠 愕 惡惘悋 惡悋 悛愆悋悧DOS慍惡悋悋 惡Borland C++ 3.0Borland
C++ 5.06 惆慍 惠忰惠
Turbo Pascal 7.0 5-
5-悛 愕 惡惘悋 慍惡悋悋 惡悋 悛愆悋悧:Visual Basic 6.0 , Visual C++ 6.0,
Delphi 7.0
6-擧悋惘惡惘惆 悋慍悋惘悋 惘 惡悋 悛愆悋悧:
MATLAB - SIMULINK , MAPLE , PROLOG , CLIPS , FLASH , PHP,
悴-悋愀悋惺悋惠 惡悋擧 悋慍悋惘悋 惘 惡悋 擧悋惘 愕悋惡
1-惴悋 悽惆惠 忰 惆惘 悋愀悋惺悋惠 惡悋擧 悋 愕愕惠 愕悋慍 拆悋惆 愀惘悋忰
惴愆悋 悋惘惠愆 惆惘:
1-1-惓惡惠 /悽惘悴 惘惆 悋愀悋惺悋惠 惡悋擧 愕愕惠 愕悋慍 拆悋惆 愀惘悋忰
悋惆悋惘 擧 擧惠惘 惘惆悽惘悴 惆悋惘 悋 惘悋悋 悋悋
悴 悋惘惠愆 愕惠悋惆愆惠惘擧 悛悋惘悋惘悋惠擧.悋慍 悋愕惠悋惆 惡悋 . 悋.悋Fox Pro
2.6惠忰惠DOS
1-2-悴愕惠悴 惓惡惠 悋愀悋惺悋惠 惡悋擧 愕愕惠 愕悋慍 拆悋惆 愀惘悋忰CD
悛悋惘悋惘悋惠擧 悋惆悋惘 悋慍悋惘 惘 擧悋惘擯悋 悋慍悋惘悋 惘 悋
悋慍 悋愕惠悋惆 惡悋 愕悋悴悋Access 97
1-3-拆惘愕 忰惷惘愃悋惡 拆惘愕 愕愕惠 愕悋慍 拆悋惆 愀惘悋忰
悋慍 悋愕惠悋惆 惡悋 愕悋悴悋 悋惘悋惠擧 悛悋惘 悋惆悋惘Access 97VBSQL
Crystal Report
1-4-悋 惡悋擧 惡惘悋 愕悋慍 拆悋惆 愀惘悋忰拆惘愕 愕愕惠 愀悋惺悋惠
惡悋 悋 惆悋惆 拆悋擯悋 惆惘愕 拆惘 惡惺悋 惡悋擧 愆惺惡 擧悋惘擧悋
悋慍 悋愕惠悋惆FoxPro 2.6惠忰惠DOS 3-
1-5-惡惺悋 惘惷 惡悋惘愕惠悋 擧 悋愀悋惺悋惠 惡悋擧 愕愕惠 愀惘悋忰
愕愕惠悋 愀惘悋忰 惠忰 惆惘愕 拆惘
惆-惆悋愆擯悋 惠忰惶悋惠 惆惘 愆惆 悋悴悋 悋 拆惘:
1-惆惘 悛 擧悋惘惡惘惆悋 悴悋慍 悋惺惠 : 擧悋惘愆悋愕 愀惺 拆悋悋惠惘 拆惘
悋 悋惠惘悋惠 悋惠惘惠
Virtual Reality ( languages and Application in Internet & Intranets )
2-悋惘愆惆 擧悋惘愆悋愕 愀惺 惆惘 悽惡惘 悋 愕愕惠 惆惘愕 拆惘:拆悋惆 愀惘悋忰
愕愕惠 惆愕悋慍 悴惠 悛 忰愀 擧 愕悋慍( 悋悧惆 惡惘 惡惠 悽惡惘 悋
悋慍 悋愕惠悋惆 惡悋Visual Basic 6.0)
- 2. Computer Knowledge Engineering In modeling & Development of Rule-Base Expert
Systems (Using Fuzzy CLIPS)
3-悋惘愆惆 擧悋惘愆悋愕 愀惺 惆惘 惠惶惘 拆惘惆悋慍愆 惆惘愕 拆惘:
惠 惠愆悽惶 愕愕惠 愕悋慍 拆悋惆 愀惘悋忰悋惘愕(OCR)悋慍 悋愕惠悋惆 惡悋
愕 惡惘悋 慍惡悋Visual C++ 6.0
Persian Text Detection In Optical Character Recognition Systems
擯惠悋惘 拆惘惆悋慍愆 惆惘愕 拆惘( Speech Processing )悋惘愆惆 擧悋惘愆悋愕 愀惺 惆惘:愀惘悋忰
悋慍悋惘 惘 愕悋慍 拆悋惆 悴惆惆 擧 惡惘悋 悋惘愕 擯惠悋惘 惠愆悽惶悋愆悋悽惠 擯惆
惶惺 愆 惠擧擧悋 悋慍 悋愕惠悋惆 (惡悋 愕愕惠 惆惘H.M.M)
Persian Speech Processing of new word for Strange Speakers
4-悋惘愆惆 擧悋惘愆悋愕 愀惺 拆悋悋惠惘 拆惘:惡悋 悋惘愕 悽惆惘 拆悋擧 惠愆悽惶
惺惶惡 悋慍 悋 愆惡擧 悋慍 悋愕惠悋惆ANFIS IRANian Lisence Plate Recognition Using
Neuro-Fuzzy NN(ANFIS)
-悋惘愆惆 擧悋惘愆悋愕 愀惺 惆惘愕 慍 惆惘 愆惆 悋悴悋 擧悋惘悋:
1-擯惠悋惘 拆惘惆悋慍愆Speech Processing
1-1- 悴惆惆 擧 惡惘悋 悋惘愕 擯惠悋惘 惠愆悽惶 愕愕惠 愕悋慍 拆悋惆 愀惘悋忰
惶惺 愆 惠擧擧悋 悋慍 悋愕惠悋惆 (惡悋 愕愕惠 惆惘 悋愆悋悽惠 擯惆
H.M.M))
Persian Speech Processing of new word for Strange Speakers
:悋愕惠悋惆 惘惆 悋 悋慍悋惘 惘MATLAB 7.0 Visual C++ 6.0
:愆惆 惠惆 悋慍悋惘悋 惘ART-FRE-LSOM-LVQ-MLP-OUTSOM-Persian speech Pattern
recognizer
1-2-拆愕惠 擯惠悋惘 惡悋慍愆悋愕 惆惘 悴愕惠悴 悋 愆悋惆擯惘 惠忰悋惠
悋愆-惠惶 惆惘悽惠 悋慍 悋愕惠悋惆 惡悋 悽惡惘
: 悋愕惠悋惆 惘惆 悋 悋慍悋惘 惘KEEL,WEKA, MATLAB 7.0
1-3-悋慍 惺惶惡 悋 愆惡擧 悋慍 悋愕惠悋惆 惡悋 悋惘愕 擯惠悋惘 惡悋慍愆悋愕
Speech Recognition with FUZZY Neural Networks
: 悋愕惠悋惆 惘惆 悋 悋慍悋惘 惘Visual C++ 6.0 , MATLAB 7.0
1-4-悋惘擧 拆悋 惆 悋慍 悋愕惠悋惆 惡悋 擯惠悋惘 悛擧愕惠擧 惆愕悋慍
Speech Processing Acoustic Modeling Using H.M.M- Hidden Markov Model
:悋愕惠悋惆 惘惆 悋慍悋惘 惘MATLAB 7.0
2-悽惡惘 悋 愕愕惠Expert Systems
2-1-愕 惆愕悋慍 悴惠 悛 忰愀 擧 愕悋慍 拆悋惆 愀惘悋忰悋 愕惠
悋悧惆 惡惘 惡惠 悽惡惘
Computer Knowledge Engineering In modeling & Development of Rule-Base Expert
Systems
: 悋愕惠悋惆 惘惆 悋 悋慍悋惘 惘Visual Basic 6.0 - Fuzzy CLIP V.E.S.M.
2-2-愆悋 悽惡惘 愕愕惠悋 惆悋愆 惆愕 惆惘愕 悋 拆惘 惠惘悋惠
悵 悋惘惆:
Visual Prolog + CLIPS Expert Systems
惠惘1-拆惘擯 悋慍 悋愕惠悋惆 惡悋 悋 拆惆 惘悋惡愀 惡惘悋 悋 愀惘悋忰
惠惘2愆惘 惡 愆惘 擧 悋慍 忰惘擧惠 惡惘悋 愆惡擧 擧 惆惘 愕惘 擧惠悋惠惘 悋惠
惆擯惘-- Traveler Sales Man Problem-T.S.P.
惠惘3-惡惘 悽惡惘 愕愕惠 愀惘悋忰愆擧悋惠 惠惆 擧悋惘悽悋 悋Visual Prolog - Expert
Systems
2-3-拆惘擯 悋慍 悋愕惠悋惆 惡悋 悋惠惡 悋惡 惺惡 惡惘悋 悽惡惘 愕愕惠 愀惘悋忰
Visual Prolog- Expert Systems
- 3. 2-4-悋慍 悋愕惠悋惆 惡悋 悋惠惡 悋惡 惺惡 惡惘悋 悋慍 悽惡惘 愕愕惠 愀惘悋忰
FUZZY CLIPS
2-5-擧惠悋惡惆悋惘 悽惆悋惠 惆惘 悽惡惘 愕愕惠悋 擧悋惘惡惘惆惘愕悋 悋愀悋惺
悋惠惘惠惠忰悋惠
惺惶惡 悋 愆惡擧Neural Networks
2-6-悋惘愕 惆愕惠愕 擧悋惠 惡悋慍愆悋愕 惡惘悋 愕愕惠 愕悋慍 拆悋惆 愀惘悋忰
愃惠 悋慍 悋愕惠悋惆 惡悋 擯愕愕惠 忰惘 惡悋惺惶惡 愆惡擧悸 惡擧悋惘擯惘 惺 悋悸
惘悋惠惡 愕愕RBFVisual C++ 6.0
2-7-愕愕惠 擧惠惘 愆悋愕悋悧Henon悋愕惠悋惆 惡悋惺惶惡 悋慍 愕愕惠 悋慍
ANFIS Control of Chaotic HENON Systems Using ANFIS
MATLAB7.0
2-8-惘惡悋惠擧慍 惆惘愕 惆惘 惘惡悋惠悋 惆悋擧 愕悋惠擧 惠忰悋惠
Sweeper Mobile Robots
2-9-悋惘悋 擧悋惘悽悋悴悋惠 惆惘 拆悋愆 惘擯 惘惡悋惠 惡惘惘愕 惘惡悋惠擧慍 惠忰悋惠
悽惆惘
2-10-惘惡悋惠 擧 惡惘惘愕 惘惡悋惠擧慍 惠忰悋惠慍悋惠 悵惡 惶悋惺 擯惘惆惘 -
KR 30 L16 34
2-11-惘惡悋惠悋 惆惘 愕愕惘悋 悋悋惺 惡惘惘愕 惘惡悋惠擧慍 惠忰悋惠Sensors in Robots
2-12-惠惶惘 拆惘惆悋慍愆 惠忰悋惠Image Processing-愕悋慍 拆悋惆 愀惘悋忰
悋惘愕 惠 惠愆悽惶 愕愕惠(OCR)(惺惶惡 悋 愆惡擧 + 惠惶惘 拆惘惆悋慍愆
Image Processing +Neural Networks)
2-13-惺惶惡 愆惡擧 + 悋慍 悋 愕愕惠 + 惠惶惘 拆惘惆悋慍愆RBF: 愀惘悋忰
愆惡擧 悋慍 悋愕惠悋惆 惡悋 悋惘愕 悽惆惘 拆悋擧 惠愆悽惶 愕愕惠 愕悋慍 拆悋惆
惺惶惡 悋慍 悋ANFIS
IRANian Adaptive License Plate Recognition Using Neuro-Fuzzy NN(ANFIS) -----
Borland C++ 5.6 windows MATLAB 7.0
: 愆惆 惠惆 悋慍悋惘 惘I.A.L.P.R
2-13-2-.愕 惘悋悋悧 擧惠悋惡 惠惘悋惠 擧悋 忰 惆悴惠悋 惠惶惘 拆惘惆悋慍愆
擧惆 惡惘悋 .擯慍悋愕MATLAB 惠惘悋惠 擧悋惡 惘惡愀 惶悋
擧惠悋惡 惘悋愆 悛悽惘惡惘悋慍惡悋 惡 惘惡愀 悋 擧惆MATLAB 7.0
悋惆擯惘擧惠悋惡 惠惘悋惠 擧悋 忰 悋愆愆惡惘悋惘惡愀 悋 擧惆
慍惡悋 惡MATLAB 7.0
2-14-愕愕惠悋 愕擯悋悋 惆惘愕 惠惘悋惠 忰擧悋拆悋惘-拆惘惆悋慍愆惠惶惘
惘惡悋惠擧慍慍惡悋悋愆悋愕惡愕愕惠悋悽惡惘愆惡擧悋
惺惶惡惆悋惘愀惆悋惘悋悋擧惠惘擧擧悋拆惠惘 惺悋惘
拆惘惆悋慍愆慍惡悋悋愀惡惺 悋惆擯惘悋愆-惡悋悧悋愆惡惘悋
拆愆惘惠 愕悋慍C++-擧悋拆惠惘 惡悋(TURBO PASCAL)
2-15-悋愆 悋惆擯惘Leaning Machine惆惘 拆愆惠惡悋 惡惘惆悋惘 悋愆悋 惡惡惆
悋擯 悛悋惘 惠忰 惘愆悋 悋慍 悋愕惠悋惆 惡悋 悋擯 惡悋慍愆悋愕
Improvement in SUPPORT VECTOR Classification using statistical Data Analysisandits
Applications(IN FACERecognition)
: 悋愕惠悋惆 惘惆 悋慍悋惘悋 惘Visual C++MATLAB 7.0
: 愆惆 惠惆 悋慍悋惘 惘Face recognition
2-16-拆愆惠惡悋 惡惘惆悋惘 悋惆擯惘 悋 悋愆 惡愕 悋擯 惡惆 惆愕惠
PatternClassificationusingSupportVectorMachines
2-17-悋擯 惡悋慍愆悋愕 惆惘 悛悋 擧悋惘惡惘惆悋 拆愆惠惡悋 惡惘惆悋惘 悋愆悋
SupportVectorMachine ApplicationinPatternRecognition
2-18-悛悋惘 惘愆悋 悋慍 悋愕惠悋惆 惡悋 悋擯 惠愆悽惶
PatternRecognitionusingstatistical Methods MATLAB7.0
- 4. 2-19-擯惠悋惘 拆惘惆悋慍愆Speech Processing:惠愆悽惶 愕愕惠 愕悋慍 拆悋惆 愀惘悋忰
(惡悋 愕愕惠 惆惘 悋愆悋悽惠 擯惆 悴惆惆 擧 惡惘悋 悋惘愕 擯惠悋惘
惶惺 愆 惠擧擧悋 悋慍 悋愕惠悋惆H.M.M惡惘悋 )117惶忰
悋慍悋惘 惘 愀惘悋忰 愕惠惆悋惠UML-Rational ROSE
Persian Speech Processing of new word for Strange Speakers
愕 惡惘悋 慍惡悋MATLAB 7.0Visual C++ 6.0
:愆惆 惠惆 悋慍悋惘悋 惘ART-FRE-LSOM-LVQ-MLP-OUTSOM-Pattern
2-20-拆愕惠 擯惠悋惘 惡悋慍愆悋愕 惆惘 悴愕惠悴 悋 愆37惠忰悋惠 惶忰
慍- 悋 拆惘 惠惆惘愕 悴惠 惺悋 惘惆 惆惘愕 惠惘悋惠 忰惺 擧悋惘悋
惆惘愕 悋 慍 惆惘 愆惆 悋悴悋:
2-21-愕 惡惘悋 拆悋愕擧悋 慍惡悋 惡 愕 惡惘悋 擧悋拆惠惘 惡悋
慍惡悋 惡 拆愆惘惠C++惡悋慍悋惡 悵悽惘 悋愕惡 悋愆 慍惡悋
愀惘悋忰 悋惶 惺悋 愕愕惠 悋 惆悋惆 拆悋擯悋 悋愀悋惺悋惠
愕悋慍 拆悋惆 愀惘悋忰 擧悋拆悋惘悋惠忰 愕悋慍 惡惘悋 慍惡悋悋
惆愕 愕愕惠悋 愀惘悋忰 悋慍悋惘 惘擧悋拆惠惘 悋 愆惡擧
.愆惆 惠慍惺 悋 愕愕惠 拆愆惘惠
2-22-拆愆惘惠 惶惺 愆拆惘惆悋慍愆 惠惶惘 拆惘惆悋慍愆 悽惡惘 悋 愕愕惠
惆悴惠悋 擯惠悋惘Speech Processing悋惆擯惘 愕愕惠悋 愕擯悋悋
悋愆Learning Machines惺惶惡 悋 愆惡擧 Neural Networks拆惘惆悋慍愆
愀惡惺 慍惡悋悋 惘惡悋惠擧慍
擧悋惘愆悋愕 愀惺 惆惘愕 慍 惆惘 愆惆 悋悴悋 擧悋惘悋:
2-23-惆愕 擧惠悋惡 惠惘悋惠 忰 拆悋愕擧悋 愕悋慍 惡惘悋 擧悋拆惠惘 惡悋
惘悋擧 惘忰悋愆惠惡惘悋悋悽惠惡慍惡悋拆悋愕擧悋惠忰惠
惆悋愕-Turbo Pascal 7.0惠忰惠DOS
2-24-慍惡悋 惡 拆愆惘惠 愕悋慍 惡惘悋C++悋 惺 惆愕 擧惠悋惡 惠惘悋惠 忰
悴惺惘悋惆愆惠惡惘悋悋悽惠惡慍惡悋Borland C++ -
Borland C++ 6.02惠忰惠DOS
2-25-惠惘悋惠 忰 悋愕惡 悋愆 慍惡悋愆惠惡惘悋悋悽惠惡
慍惡悋Assembly 1.02
2-26-惺悋 悋 愕愕惠:1-惆惘惠 惆惘 惺悋 愕愕惠 惺擧惘惆 愕悋慍 愆惡
擧悋 惡愀惘 悋 拆惘惆悋慍(Ready Run- Blocked- completed)忰愀 惡悋 惘悋
惡悋悋 愕愀忰 擯惘悋擧Borland C++惠忰惠DOS2-惺擧惘惆 悋 愕悋慍 愆惡
悽惠 惘愆悋 惡 忰悋惴 惆惘惠 惆惘 惺悋 愕愕惠: Multi partition: Best Fit
First Fit-worst fit-quick fit - single partition
:悋愕惠悋惆 惘惆 悋慍悋惘 惘Borland C++惠忰惠DOS
2-27-擧悋拆悋惘悋 愀惘悋忰-惡 愆惡 擧悋拆悋惘 愕悋慍 拆悋惆 愀惘悋忰
QuickBasic惠忰惠 拆愆惘惠 悋惆惠惘 忰愀 惡悋 惘悋DOS-惡惘悋146
拆愃悋Error350拆愃悋- Warning悋悴惘悋悧 悋 愕悋悽惠 擧惘 悋悴惘悋
exe愕惠惆悋惠 惡惘悋擧悋擧悋拆悋惘 惡 惘惡愀 惡悽愆 拆悴 惘 愀惘悋忰
愆悋
Semantic Analyzer + syntax Analyzer + code Builder+ Lexical Analyzer +parser
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:FARSBASE.exe
2-28-愕愕惠悋 愀惘悋忰 惠忰/悋 惆悋惆 拆悋擯悋:愕悋慍 拆悋惆 愀惘悋忰
惡悋擧 愆惺惡 擧悋惘擧悋 拆惘愕 愕愕惠 悋愀悋惺悋惠 惡悋擧 悋慍悋惘 惘64
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: 愆惆 惠惆BMIDBF
2-29-惘惷 惡悋惘愕惠悋 擧 悋愀悋惺悋惠 惡悋擧 愕愕惠惡惘悋35惶忰
愕惠惆悋惠(DFD)
: 悋愕惠悋惆 惘惆 悋慍悋惘 惘FoxPro 2.6惠忰惠DOS
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2-30-悋愀悋惺悋惠 惓惡惠 拆惘愕 愕愕惠 愕悋慍 拆悋惆 愀惘悋忰-拆惘愕 忰惷惘愃悋惡
悽惠 惘愆悋 惡 擯惘 擯慍悋惘愆 +悋惘惠惡悋愀惡悋擧悋惘惠愕悋惺惠慍+
惠惴悋惠愆惡擧惡惘悋35愕惠惆悋惠 惶忰(DFD)悋慍 悋愕惠悋惆 惡悋
Access 97 , VB ,SQL, Crystal Report: 愆惆 惠惆 悋慍悋惘 惘
Amar_personel.exe
2-31-悋惡悋惘 愕愕惠 愕悋慍 拆悋惆 愀惘悋忰-/悽惘悴 惘惆 悋愀悋惺悋惠 惡悋擧
悋 惘悋悋 悋悋 惓惡惠惡惘悋15惶忰愕惠惆悋惠(DFD)悋慍 悋愕惠悋惆 惡悋
FoxPro 2.6惠忰惠DOS:愆惆 惠惆 悋慍悋惘 惘Anbar
2-32-悴愕惠悴 惓惡惠 悋愀悋惺悋惠 惡悋擧 愕愕惠 愕悋慍 拆悋惆 愀惘悋忰CD悋
愕悋悴悋 悛悋惘悋惘悋惠擧 悋惆悋惘 悋慍悋惘 惘 擧悋惘擯悋 悋慍悋惘悋 惘+
悽惠 惘愆悋 惡 擯慍悋惘愆擯惘惡惘悋10愕惠惆悋惠 惶忰(DFD) 97 Access ,
VB ,SQL, Crystal Report: 愆惆 惠惆 悋慍悋惘 惘Sabt_CD.exe
2-33-拆愆惘惠 惶惺 愆:惡悋慍 悋慍悋惘 惘 愕悋慍 拆悋惆 愀惘悋忰
擧悋拆惠惘 悋惠悋惠擧 (惡悋慍 愆愀惘悴-擧惘惆惘惡惘悋385
惶忰愕惠惆悋惠愀惘悋忰UML愕 惡惘悋 慍惡悋 惡悋Borland C++ 5.06
惠忰惠DOS
2-34- 惶 惆 惡悋 惡慍 拆拆 悋愕惠擯悋 愕悋慍 愆惡 擧悋拆惠惘 愕悋慍 愆惡
悴悋擯悋 愆愆:悋 惶2 惡慍 悴悋擯悋1惆 惶 擯悋慍悧 悴悋擯悋
:2惡慍 擧 擯悋慍悧 悴悋擯悋-愆惡 + 愕悋慍 愆惡 悴惆 惘愕
悋惺 忰愀 擯惘悋擧 愕悋慍愕 惡惘悋 慍惡悋 惡悋Borland C++惠忰惠
DOS
2-35-悋擯惘惠悋 惘悋愆惆 惘愆悋 惠愀惡 愀悋惺 惺悋惠 惆惘 惠忰
愆惡擧 悋擯 愕悋慍 愆惡 惺 悴愕惠悴 惠擧 擯悋 惘
悋惡 惡 惆愕悋慍 惆惘 惺惶惡 悋20惶忰惠忰悋惠