PowerPoint Presentation

1Aug, Nov, Dec 2014

Aug, Sep, Oct 2013,Jan, Aug 2011, Aug 2012,Feb, Mar, Apr, Aug, Sep 2010, Jan, Apr, May, Aug, Oct 2009,Mar, Jul, Aug, Dec 2008, Dec 15, Nov 15, - Mar 13, Feb 13, Jan 31, 2007, Aug 1, June 14, May 1, Feb 19, 2006, June 13, May 29, Feb 21, 2005 Networked Control Systems Laboratory123Jun 14, 06 by Feng-Li LianInitialStageIntermediate StageFinalStageSurveyOthers work503020DesignIdea, Concept305020AnalysisProof, Demo202060Eigenvalues: 20, 40, 100Eigenvectors:

111-1110-214Mar 5, 2010 by Feng-Li Lian5What is the systemWhat is the problem

How to model the systemHow to model the problem

How to control the systemHow to designWith respect to the original systemWith respect to the system model

How to prove/show/compare the performance/advantage

Nov 30, 2014 by Feng-Li Lian6()

Apr 18, 2008 by 7()

Apr 18, 2008 by 8e-mail NTU SpaceNTU Space: https://www.space.ntu.edu.tw//102-1////e-mailIEe-mailBy Feng-Li Lian, 9/12/139(AD551-479)

(AD372-289)

Charles Robert Darwin (1809-1882).It is not the strongest of the species that survive, nor the most intelligent, but the one most responsive to change.By Feng-Li Lian, 10/17/0910NCSLab 2008abc11Chapter 0: During the SummerLab Meeting e-mailhttp://cc.ee.ntu.edu.tw/~ncslab/ForNewStudents/WR100-1_Name_Date.ppt wkrpt http://cc.ee.ntu.edu.tw/~ncslab/OnlyForMe/LabNote/PPT

By Feng-Li Lian, 8/1/0812Chapter 1: Select Courseshttp://cc.ee.ntu.edu.tw/~ncslab/ForNewStudents/NCSLabCourseRule.htmlore-maile-maile-mailPPTBy Feng-Li Lian, 9/1/0813Chapter 2: Read PaperIEEE/IEE Journals Database EI Database: Ei Engineering Village 2 EV2 1970- Scientific Literature Digital Library Google Scholar http://cc.ee.ntu.edu.tw/~ncslab/ForNewStudents/

Abstract ConclusionIntroduction

PDFBy Feng-Li Lian, 10/1/0814Chapter 2: Read Paper Introduction, Literature Survey, Related Work

Problem Formulation, Modeling, Proposed Solution

Simulation, Experimental Results By Feng-Li Lian, 11/10/1415Chapter 3: Write Report IEEE Transactions IEEEAbstractSection I Section II By Feng-Li Lian, 1/1/0916Chapter 4: Daily Tasks and Graduation 1

By Feng-Li Lian, 4/4/0917Chapter 4: Daily Tasks and Graduation 2

meetingmeeting

By Feng-Li Lian, 4/4/0918Chapter 5: Present Results at Weekly MeetingBlock DiagramBy Feng-Li Lian, 4/20/0919Chapter 6: Prepare Your First PresentationBy Feng-Li Lian, 4/30/0920Chapter 7: Your Research TopicsBy Feng-Li Lian, 8/31/0921222011Feb 28: Outline: List all possible topics to be discussed, Content: Write all possible materials read/found/analyzed beforeLab ftp site, EmailMarch 31: Chapter or SectionChapter or SectionChapter or SectionLab ftp site, EmailApril 30:PDFLab ftp site, EmailMay 31: June 11: June 25(?): 4 in 1July 9: PDFLab ftp site, EmailJuly 16: July 23: Two-Column Format of the whole thesisJuly 30: Two-Column Format of the main research results July 31: Two-Column Format of the main research results By Feng-Li Lian, 1/27/1123

By Feng-Li Lian, 1/14/093/31.doc.dochttp://...4/30.doc.dochttp://...24By Feng-Li Lian, 1/27/11staticdynamicfollowingxxxAlgorithm ABCTheorem KKK[Brady 2005]xxx[Allen 2006]yyyAlgorithm DEFTheorem MMxxx[Morgenson 2003]xxx[Allen 2006]yy

Algorithm GHTheorem LLxxxxxxxxxxxxxxxxxxxxxxxxxxxscenarios/problemssolutions/methods/approach25By , 1/19/1126By Feng-Li Lian, 1/27/11one targetMultiple targetsDetection + trackingFollowing onlyDWA*xxDWA*Object DetectionxxxKF + PF + Trackingxxxxxxxxxxxxxxxxxxxxxxxxxxxscenarios or cases or examplessolutions/methods/approach272010Feb 28: Outline: List all possible topics to be discussedContent: Write all possible materials read/found/analyzed beforeLab ftp site, EmailMarch 31: Chapter or SectionChapter or SectionChapter or SectionLab ftp site, EmailApril 30:PDFLab ftp site, EmailMay 31: June 11: June 26(?): 4 in 1July 9: PDFLab ftp site, EmailJuly 16: July 23: Two-Column Format of the whole thesisJuly 30: Two-Column Format of the main research results July 31: Two-Column Format of the main research results By Feng-Li Lian, 2/1/10282009Feb 28: Outline: List all possible topics to be discussedContent: Write all possible materials read/found/analyzed beforeLab ftp site, EmailMarch 31: Chapter or SectionChapter or SectionChapter or SectionApril 30:PDFLab ftp site, EmailMay 31: June 11: June 27(?): 4 in 1July 7: PDFLab ftp site, EmailJuly 10: July 13: Two-Column Format of the whole thesisJuly 20: Two-Column Format of the main research results July 31: Two-Column Format of the main research results By Feng-Li Lian, 4/15/09292008~ Feb: Outline: List all possible topics to be discussedContent: Write all possible materials read/found/analyzed beforeEmail PDFApril 30: E-mail PDF May 31: June 11: June 21: 4 in 1June 30: July 7: e-mailPDFJuly 10: July 17: Two-Column Format of the whole thesisJuly 24: Two-Column Format of the main research results July 31: Two-Column Format of the main research results By Feng-Li Lian, 7/1/08302007~ Feb: OutlineList all possible topics to be discussedContentWrite all possible materials read/found/analyzed beforeApril 30: May 31: June 15: June 23: June 29: July 6: Two-Column Format of the whole thesisJuly 13: Two-Column Format of the main research results July 27: Two-Column Format of the main research results By Feng-Li Lian, 1/31/07312006~ Feb: OutlineList all possible topics to be discussedContentWrite all possible materials read/found/analyzed beforeApril 30: May 31: June 15: June 25: July 5: July 10: July 15: Two-Column Format of the whole thesisJuly 20: Two-Column Format of the main research resultsJuly 25: Two-Column Format of the whole thesisBy Feng-Li Lian, 8/1/063233 TITILE PAGE 34()+++ () 3503734301By Feng-Li Lian, 9/1/11(5150750(2300600(42501000(2350700361.()+2. (4 slides in 1 page) e-mail 213 2007/06/23, 9:40-10:30 AM38- ppt ThesisWritingSOP.ppt e-mail Space

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By Feng-Li Lian, 7/17/1239-25 ThesisWritingSOP.ppt ppt e-mail Space DVD

By Feng-Li Lian, 7/17/1240 Presentation S.O.S. From Perspiration to Persuasion in 9 Easy Stepsby Mark Wiskup sound biteBy Feng-Li Lian, 2/19/064116power point41516 I have a dream To be or not to begraphic presentationA picture can say a thousand wordsBy Feng-Li Lian, 2/19/064243Link: http://etds.lib.ntu.edu.tw/etdsystem/submit/submitLoginLink:http://www.ee.ntu.edu.tw/graduate/index.php?option=com_content&view=article&id=175&Itemid=207Link: https://web2.cc.ntu.edu.tw/p/s/login2/p1.phpBy , 8/8/114403734301(CD-ROM or DVD)

By Feng-Li Lian, 8/1/114503734301By Feng-Li Lian, 9/1/11(5150750(2300600(42501000(235070046CD-ROMPersonal InformationCourseResearchThesisReadme.txt47CD-ROM-1 Readme.txt

Personal InformationCourseWeekly ReportResearchWeekly reports, presentation, paper survey, conference, etc.Programs, etc.PDF of surveyed papers and Paper list with abstract48CD-ROM-2ThesisDocuments, Journal format, Presentation slides, PDFPDFTwo-column format of the whole thesisTwo-column format of the main research result PDF (Websites)Program, Figures, Animations etc. Readme.txt PPTMatlabxxx.cppMatlab49Directory and File /R92921001/Lecture/*.pdf, *.html, *.doc, *.m, etc./R92921001/Lecture/Referecne/*.pdf, *.html, *.doc, *.m, etc./R92921001/Homework/HW1/ *.doc, *.m, *.pdf, etc./R92921001/Homework/HW2/, /HW3/, /HW4/, etc./R92921001/Project/0225Prelim.doc0414Proposal.doc0519SlideMiterm.ppt0616SlideFinal.ppt0623FinalReport.doc/R92921001/Project/Reference/01ShinChou94RealTiime.pdf, 02Sastry95TimeDelay.pdf, etc./R92921001/Network/0512Slide.ppt*.pdf, *.html, *.doc, etc.50Paper Filenames51PDFFilenameLast Name of First AuthorNumber of AuthorsYear (2 digits)First three words of the title Capital the first letter of these wordsExample

By Feng-Li Lian, 8/1/06

Filename: Kunniyur2_04_AdaptiveVirtualQueue.pdf

Filename: Athuraliya4_01_REMActiveQueue.pdf52Referencescitation:One author [2: Lian 2004]Two authors [3: Lian & Chang 2004]More than three authors [4: Lian et al. 2004]

Ex: 2.2 TCP-Reno [10: xxx 1988] (citation)xxx..

53References54ReferencesReferences [1: Stankovic 2002] S. S. Stankovic, Decentralized overlapping control of a platoon of vehicles, IEEE Transactions on Control Systems Technology, Vol. 8, No. 5, pp. 816-832, Sep. 2002[2: Bello & Mirabella 2000]L. L. Bello and O. Mirabella, Analysis and comparison of different interconnection solutions for switched Ethernet networks, in Proceedings of IEEE International Workshop on Factory Communication Systems, Porto, Portugal, pp. 221-230, Sep. 6-8, 2000[3: Aweya et al. 2002] J. Aweya, M. Ouellette, J.M. Korsakas, and D. Y. Montuno, Inter-working of switched Ethernet and ATM flow control mechanisms, International Journal of Network Management, Vol. 12, No. 6, pp. 357-366, May 2002Note: 55ReferencesReferences Journal Paper S. S. Stankovic, Decentralized overlapping control of a platoon of vehicles, IEEE Transactions on Control Systems Technology, Vol. 8, No. 5, pp. 816-832, Sep. 2002.Authors, Title of the Paper, Journal Title, Volume, Number, Pages, Month Year.

Conference PaperL. L. Bello and O. Mirabella, Analysis and comparison of different interconnection solutions for switched Ethernet networks, in Proceedings of IEEE International Workshop on Factory Communication Systems, Porto, Portugal, pp. 221-230, Sep. 6-8, 2000.Authors, Title of the Paper, in Proceeding of Conference Title, Location (City, Country), (Volume), Pages, Month Day, Year.56ReferencesReferences Books Won-Kung Chen, Linear Networks and Systems. Belmont, CA: Wadsworth, 1993, pp. 123135.Authors, Title of the Book, Edition, (Volume), (Editors), Publisher Location, Publisher, Year, (Pages).Gary O. Young, Synthetic structure of industrial plastics, in Plastics, 2nd ed., vol. 3, Editor: J. Peters, New York: McGraw-Hill, 1964, pp. 1564.Technical Reports:Eric E. Reber, Robert L. Mitchell, and Clark J. Carter, Oxygen absorption in the Earths atmosphere, Aerospace Corp., Los Angeles, CA, Tech. Rep. TR-0200 (4230-46)-3, Nov. 1968.Authors, Title of the Book, Publisher, Location, Year, Number, (Pages), Month Year.Standards/Patents:Greg Brandli and Michael Dick, Alternating current fed power supply, U.S. Patent 4 084 217, Nov. 4, 1978.57ReferencesReferences On-LineBooks: Author. (year, month day). Title. (edition) [Type of medium]. volume (issue). Available: site/path/fileJ. Jones. (1991, May 10). Networks. (2nd ed.) [Online]. Available: http://www.atm.comJournals: Author. (year, month). Title. Journal. [Type of medium]. volume (issue), pages. Available: site/path/fileR. J. Vidmar. (1992, Aug.). On the use of atmospheric plasmas as electromagnetic reflectors. IEEE Trans. Plasma Sci. [Online]. 21(3), pp. 876880. Available: http://www.halcyon.com/pub/journals/21ps03-vidmarPapers Presented at Conferences: Author. (year, month). Title. Presented at Conference title. [Type of Medium]. Available: site/path/filePROCESS Corp., MA. Intranets: Internet technologies deployed behind the firewall for corporate productivity. Presented at INET96 Annu. Meeting. [Online]. Available: http://home.process.com/Intranets/wp2.htpReports and Handbooks: Author. (year, month). Title. Company. City, State or Country. [Type of Medium]. Available: site/path/file S. L. Talleen. (1996, Apr.). The Intranet Architecture: Managing information in the new paradigm. Amdahl Corp., CA. [Online]. Available: http://www.amdahl.com/doc/products/bsg/intra/infra/htmlComputer Programs and Electronic Documents: ISO recommends that capitalization follow the accepted practice for the language or script in which the information is given.A. Harriman. (1993, June). Compendium of genealogical software. Humanist. [Online]. Available e-mail: HUMANIST@NYVM Message: get GENEALOGY REPORT58Matlab 59Matlab: plotBy Feng-Li Lian, 3/3/08>> t = 0:0.1:pi*4;>> plot(t, sin(t))>> title('Plot')>> xlabel('X axis')>> ylabel('Y axis')>> text(4,0.4,'Here')

>> p = plot(t, sin(t), 'x')

p =

152.0028

>> p = plot(t, sin(t), 'x')>> get(p) Color: [0 0 1] EraseMode: 'normal' LineStyle: 'none' LineWidth: 0.5000 Marker: 'x' MarkerSize: 6 MarkerEdgeColor: 'auto' MarkerFaceColor: 'none' XData: [1x126 double] YData: [1x126 double] ZData: [1x0 double] BeingDeleted: 'off'ButtonDownFcn: [] Children: [0x1 double] Clipping: 'on' CreateFcn: [] DeleteFcn: [] BusyAction: 'queue' HandleVisibility: 'on' HitTest: 'on' Interruptible: 'on' Selected: 'off' SelectionHighlight: 'on' Tag: '' Type: 'line' UIContextMenu: [] UserData: [] Visible: 'on' Parent: 151.0012 DisplayName: '' XDataMode: 'manual' XDataSource: '' YDataSource: '' ZDataSource: '

>> plot(t, sin(t), 'x-', 'MarkerSize', 20, 'LineWidth',2)

60Matlab: text>> q=text(4,0.4,'Here')

q =

153.0016

>> get(q)BackgroundColor = noneColor = [0 0 0]EdgeColor = noneEraseMode = normalEditing = offExtent = [3.94253 0.34466 0.965517 0.0970874]FontAngle = normalFontName = HelveticaFontSize = [10]FontUnits = pointsFontWeight = normalHorizontalAlignment = leftLineStyle = -LineWidth = [0.5]Margin = [2]Position = [4 0.4 0]Rotation = [0]String = HereUnits = dataInterpreter = texVerticalAlignment = middleBeingDeleted = offButtonDownFcn = Children = []Clipping = offCreateFcn = DeleteFcn = BusyAction = queueHandleVisibility = onHitTest = onInterruptible = onParent = [151.001]Selected = offSelectionHighlight = onTag = Type = textUIContextMenu = []UserData = []Visible = on

>> q=text(4,0.4,'Here', 'FontSize', 20)

By Feng-Li Lian, 3/3/0861Matlab: labelx = xlabel('X axis')

x =

155.0012

>> get(x)BackgroundColor = noneColor = [0 0 0]EdgeColor = noneEraseMode = normalEditing = offExtent = [6.3295 -1.21845 1.2069 0.0970874]FontAngle = normalFontName = HelveticaFontSize = [10]FontUnits = pointsFontWeight = normalHorizontalAlignment = centerLineStyle = -LineWidth = [0.5]Margin = [2]Position = [6.97313 -1.13382 1.00011]Rotation = [0]String = X axisUnits = dataInterpreter = texVerticalAlignment = capBeingDeleted = offButtonDownFcn = Children = []Clipping = offCreateFcn = DeleteFcn = BusyAction = queueHandleVisibility = offHitTest = onInterruptible = onParent = [151.001]Selected = offSelectionHighlight = onTag = Type = textUIContextMenu = []UserData = []Visible = on

>> x = xlabel('X axis', 'FontSize', 20)

By Feng-Li Lian, 3/3/0862Code t=1:0.1:10;y1=sin(t);

plot(t,y1);title('sin(t)');xlabel('t');ylabel('sin(t)');

Figure

9/24/10 63 ICode t=1:0.1:10;y1=sin(t);

axes(fontsize,15); plot(t,y1);title('sin(t)','fontsize',20);xlabel('t','fontsize',20);ylabel('sin(t)','fontsize',20);

Figure

9/24/10 64 II Code t=1:0.1:10;y1=sin(t);

h1 = subplot(1,2,1);set(h1,'fontsize',15);plot(t,y1);title('sin(t)','fontsize',20);xlabel('t','fontsize',20);ylabel('sin(t)','fontsize',20);

h2 = subplot(1,2,2);set(h2,'fontsize',15);plot(t,y2);title('cos(t)','fontsize',20);xlabel('t','fontsize',20);ylabel('cos(t)','fontsize',20);

Figure

9/24/10 65Matlab: Copy FigureIn command selection of Figure x-> select "Edit"-> select "Copy Options"-> mark "Preserve information"-> mark "Transparent background"-> mark "Match figure screen size" if you wish-> press "OK"

-> select "Edit", again-> select "Copy Figure"go to Power Point or Word-> press "Ctrl V"

By Feng-Li Lian, 8/27/0866Matlab: Copy FigureBy Feng-Li Lian, 9/30/13

Matlab Code:horiz=30; % variable of horizontal rotationvert=30; % variable of vertical rotation view(horiz,vert); title(['\fontsize{20}View Angle: ',num2str(horiz),' , ' ,num2str(vert)])% title% \fontsize{20}: title20% num2str(): string

Matlab Image Title Based on a Variable2013/7/22NCSLab / Yung-Cheng Huang67

Image Title 7/22/13 6869 logoSession information: ID, title, date, time, location etc.Paper Information: Title, Authors, Department, UniversityDate, Time,NTU logo

Detecting Drivable Space in Traffic Scene Understanding

Sat-I-R4 (Room 4) Awarding Session Saturday, 30 June / 13:30-13:15Chih-Ming Hsu, Feng-Li Lian, Cheng-Ming Huang, and Yen-Shu Chang Dept. Electrical EngineeringNational Taiwan University Taipei, Taiwan

Good Afternoon ! EveryoneIts a great pleasure to be here. My name is Chih-Ming HSUI come from TAIWN. I am currently a doctoral student at National Taiwan University.In this presentation, I am going to talk about Detecting Drivable Space in Traffic Scene Understanding70Data Reduction And Bandwidth Allocation For Video-based Network SystemYi-Chun Lin and Feng-Li Lian

National Taiwan UniversityTaipei, Taiwan

June 6, 2011

Session: WP1 Networks and CommunicationsHello, everyone. My name is yi-chun Lin. I am a PHD student at National Taiwan University. The tilt of the paper I am presenting today is Data Reduction and Bandwidth Allocation for Video-based System. Essentially, what we want to do is to dynamically allocate bandwidth to each cameras and to do data reduction before transmitting video data. In doing so, we can ensure networking loading beneath its limited value and important video content is transmitted.71Detecting and Tracking of Host People on a Slave Mobile Robot for Service-Related TasksChin-Lung Chen, Chih-Chung Chou, and Feng-Li Lian

National Taiwan UniversityTaipei, TaiwanSept. 15, 2011ThA10: Advanced Robotic Systems

72732/3 1/3 Paper Information: Title, Authors, Department, UniversityDate, Time, logoNTU logo

Dynamic Bandwidth Allocation AlgorithmAllocated bandwidth for camera 1, 2 and 3Importance of moving objects is equal to environment

Data Reduction And Bandwidth Allocation For Video-based Network SystemYi-Chun Lin & Feng-Li Lian, Department of Electrical Engineering, National Taiwan University

6/6/12 - 74For adjusting beta to be small to equal the alpha, we can see the change of allocating bandwidth of cameras.74Information Rate Control for Characterizing Moving Objects in Networked Visual ApplicationsFeng-Li Lian, Yi-Chun Lin, Jong-Hann Jean National Taiwan Univ. & St. John Univ.7/15/10 - 75Cases Study- Real-Time 3D Reconstruction Rate Control - Different levels of rateObject Velocity(Slowest )(Fastest)Rate 2Rate 3Rate NV1V2V3VN-1VNV0Rate 1

A general case for different levels of rate Using three different levels of rate

Mapping objective: Gain the understanding of the environment

Method: Occupancy Grid MappingModel the environment through gridsDerive grid occupancy probability (confidence of grid being occupied)Three states: Occupied, Free, Unknown

Problem: Sensor data digitization problem High computational efforts

Mapping

baRange Sensor

Laser raw scan[8: Moravec & Elfes 1985] 8/22/12 - 76

Polar Grid Based Robust Pedestrian Tracking with Indoor Mobile Robot using Multiple Hypothesis Tracking AlgorithmFeng-Min Chang & Feng-Li Lian, National Taiwan University

occupancy grid mappinggrid mapoccupied , free, unknown

occupancy grid mappingabbsensor beam()bb()

In order to have better understanding of the environment, we introduce a mapping method called occupancy grid maps.This method mapping the environment through lots of cells, each cell has an occupancy probability which represent the probability of the cell at this specific position has been occupied or not.

767778IEEEAbstractSection I Section II By Feng-Li Lian, 1/14/0979 1

By Feng-Li Lian, 12/15/0780 2

IEEE Transactions on Automatic Controlor Robotics or Automation By Feng-Li Lian, 12/15/0781 3

The development of linear and nonlinear geometric control theoryhas shown that invariant subspaces, and their nonlinear equivalent,invariant distributions, play a fundamental role in the solutionof many design problems.[Tatikonda & Mitter 2004] (Astolfi & Ortega 2003, P590, RP4, L2)

[ ] ( ) P Page RP or LP Right or Left Paragraph L By Feng-Li Lian, 12/15/0782 4

A B

By Feng-Li Lian, 12/15/0783By Feng-Li Lian, 10/15/13

8485 Thesis title, Chapter title, Section title, Subsection title, etc. Figure 1, Table 2, Section 3, Equation (4), etc.Figure caption, Table caption, Reference citation, e.g., [1: Stankovic 2002], [2: Bello & Mirabella 2000], [3: Aweya et al. 2002], etc.

By Feng-Li Lian, 2/13/0786: By Feng-Li Lian, 5/1/0687: By Feng-Li Lian, 5/1/0688: By Feng-Li Lian, 5/3/0689Thesis/Report/PaperThesis Chapters: Introduction:MotivationLiterature Survey of Related ResearchesContribution of the Thesis/Report/PaperOrganization/Outline of the Thesis/Report/PaperMathematical Preliminary, Background, or FundamentalDiscuss the background or fundamental information/materials related the research topics discussed in the Thesis/Report/PaperProblem FormulationFormulate the problem discussed in the Thesis/Report/Paper mathematically, theoretically, academically, etc.Analysis ResultsDesign ResultsSimulation Study & Experimental StudyConclusions/Summary and Future Works Bibliography/ReferencesBy Feng-Li Lian, 5/29/0590 TitleBy Feng-Li Lian, 5/29/0591 Chapter/SectionEvery chapter should start with a brief introduction to this chapterabout one or two paragraphs

Every chapter should end with a brief summary about what have been discussed in the chapter and what will be discussed in next chapter

By Feng-Li Lian, 5/29/0592 Style we, you, she

For example, the user should know , the operator judges

Figure Table ideas Figure or Table Figure or Table Figure or Table

= NO doesnt, cant, USE does not, can not, cannotBy Feng-Li Lian, 5/29/0593 Stylethe and athe a a theA controller is used , the idea is implemented at the controller

By Feng-Li Lian, 5/29/0594 Literature Survey

By Feng-Li Lian, 5/29/0595 Equations = x = f( y, z), where x is the state variable, y is , z is , and f is a function

By Feng-Li Lian, 5/29/0596 FigureFigure

Figure For example, The schematic diagram is shown in Figure 3.5.As shown in Figure 4.2, the output generated by the TCS algorithm

Figure symbol, line, axis, etc.

Figure citation

Figure

Figure caption

By Feng-Li Lian, 5/29/0597 TableTable TableFor example, The statistical analysis is summarized in Table 3.4.As shown in Table 2.1, the controlled errors are

Table

Table citation

Table

Table caption By Feng-Li Lian, 5/29/0598 References/Citation idea citation

citation

References citation

citationBy Feng-Li Lian, 5/29/05991022014/08/21 [] []Ex: One of these approaches [9: Scaramuzza & Fraundorfer 2011] is based on color feature matching. (o)[9: Scaramuzza & Fraundorfer 2011] is based on color feature matching. (x)Algorithm 4.1Equation (3.1)

(3.1)08/12/14 by References Contents PDFPDFAs B (x)B of A (o)They ()The data

08/12/14 by :Entropy?Entropy25%25%~50%50%~75%75%Entropy463

08/12/14 by 1041012013/07/2007/20/13 bytitle, fig, table ,ex: Chapter 1.1 Introduction Section 2.1.1 xxxxxxxx Fig. 3.1 xxxxx (a) xxxx (b) xxxx Table 3.1 xxxxxxxxxxEquation ,, equation,Eqn.ex: (3.1)07/20/13 by(Chapter & Section), fig, table, equation,ex: Chapter 3, Section 3.1, Fig. 3.1(a), Table 3.1, Eqn. (3.1).figsubfigure,(a),ex: 3.1(a)(Chapter & Section), fig, table, equation(,), ex: Section 3.1Fig. 3.1; Section 3-1Fig. 3-1.07/20/13 by(Eqn.),,(Fig.),,,10,12Eqn.Fig.&,subfiguresubfigureSubfigureTableTable,07/20/13 byReferencessite,ThesisWritingSOP.ppt

.emfAlgorithm,AlgorithmFigTable+,,Table,,Mathtypeex: Xj, m, n, i, j07/20/13 byThe first N., the 1st N., st, nd, rd, th, The,the,,theEx: the RGB color space, the Xi()

The: the+adj.+N. the+/+ +/ex1: the sun-moon lake=lake sun-moonex2: the X parameter=parameter X07/20/13 byas followsin the followingpre-defined,definedintroduce,,mention, discuss, analyze, present, demonstrate, list, detailGetobtain, giveprovide, proposeBecause S+Vbecause of NEasy understoodeasily understoodBetween A and BAlthoughA and B, respectly.

07/20/13 byBe equal to= it equals (adj.) (v.)AB,C,A equal both B and Cnearby,identification, estimation, detection, classificationDistance from A to Bself car, host car, home car, car 0case by case,there aresome,well,07/20/13 byAt precise time, ex: at 10:30.In a period of time, ex: in June, in 1980s.On date, ex: on Monday, on 20 July.

At the top of, at the bottom of, at the back of, at the front ofIn a row, in a column, in a line, in a quene, in Fig., in Eqn., in Table.On the left, on the right07/20/13 byaccording to the discussion aboveis to V.Help+V.A implies BThe fact that S1 + V1 implies that S2 + V2try+V.

07/20/13 by,ex1: the indicated drivable region in following frames will be indicated automatically by the spatial coherencyit indicates drivable region in following frames from spatial coherencyex2: The driving assistance systems have been played as an important role and can be seen in vehicles in recent years The driving assistance systems have played an important role for driving safety and can be seen in vehicles in recent years07/20/13 by,ex1: the proposed method in this thesis is using region growing for drivable region detection first the proposed method in this thesis uses region growing for drivable region detection firstex2: the proposed method in thesis do range estimation of on-road vehicles for avoiding collisions and accidents the proposed method in thesis estimates ranges of on-road vehicles for avoiding collisions and accidents07/20/13 byThere is, there are There are many dynamic objects that Many dynamic objects

Introduce, describepresent/ mention/ discuss

, Ex: Rigid body rotates around its centroid. Not Rigid body is rotating

06/14/13 byNTUEE NCS Lab ChungYi Hung 2013.06.14:Table: Be listed in table2.4, not at.Figure: Figure 4.2(a), ! Ex: Figure 4.2 (a) dash line:Chung-Yi Hung -In [9: Perrollaz et al. 2012] work, Perrollaz et al. proposedIn most cases. Most of case.In the beginning. Not at the beginning.CCDs,

06/14/13 byNTUEE NCS Lab ChungYi Hung 2013.06.1406/14/13 byNTUEE NCS Lab ChungYi Hung 2013.06.14Conference, Workshop in proceedings of conference :, . Ex: June 2008., . Ex: June 4-6, 2008: [,, ,(vol. X) , , .]Ex: M. Enzweiler, P. Kanter and M. Gavrila, Monocular Pedestrian Recognition Using Motion Parallax, in Proceedings of IEEE Intelligent Vehicles Symposium, Eindhoven, Netherlands, pp. 792-797, June 4-6, 2008.

06/14/13 byNTUEE NCS Lab ChungYi Hung 2013.06.14121100122122122122: 08/07/12 :Content office chapter X chapter Figure list figure captionpaperIEEE**()**()**()referencetable:referencechapterIntroductionLiterature surveychapterExperiment

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08/07/12 by 124124124124: 08/07/12 :***************.*******.literature surveysummary standardmodifiednewTablefigure: 08/07/12 by :: :Aug. 4, 2012Aug. 04, 2012 by This thesis () WeOurAug. 04, 2012 by Aug. 04, 2012 by System ArchitectureCite ReferenceIt may be one of the useful techniques to extract boundaries of objects of interest from magnetic resonance (MR) images [17: Carballido-Gamio et al. 2004], ultrasound images [18: Guerrero et al. 2007], computed tomography (CT) images [19: Pu et al. 2009].Aug. 04, 2012 by Reference

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15796158: , , , abstract : For To , citationMay 12, 2008 by 159citation:: note by : discussing with : e-mail: : meeting note: : comparison table: , , , May 12, 2008 by 160, Ex:C=(a+b+c+d+e+)/( z+y+x+w+):C=A/BA=a+b+c+d+e+B=z+y+x+w+May 12, 2008 by 161--> title

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May 6, 2008 by 162 >> In this paper, the interaction lies between information constrain and dynamic behavior of a system is tried to figure out. (X)

In this paper, the interaction lying between information constrain and dynamic behavior of a system is characterized. (O) tried to figure out characterized A framework with information flow and plant is proposed and mathematics describes are presented. (x)

A framework with information flow and plant is proposed and related mathematical foundations (or descriptions) are presented. (O)Mar 11, 2008 by 163 >> those them The problem is formulated and propose the new framework with two controllers is proposed. One of that controls the plant and the other controls quality and quantity of the information. (X)

The problem is formulated and propose the new framework with two controllers is proposed. One of them controls the plant and the other controls the quality and quantity of the information. (O) >> Figure the A general networked control system can be described in the figure 1.1. A general networked control system can be described in Figure 1.1. Mar 11, 2008 by 164>>three cases: on-line interactive 3D video game, ball-camera system, and objects location prediction are shown. (X)

three cases: on-line interactive 3D video game, ball-camera system, and the location prediction of moving objects are shown. (O)

The feature of the fusion function is to make good policies to sensors and the plant under some limited conditions. Such as compute ability, network delay, money cost. (X) The feature of the fusion function is to make good policies for sensors and the plant under some limited conditions, such as computing capability, network delay, resource cost. (O) such as Mar 11, 2008 by 165

Over the past few years a considerable number of studies have been made on that talked about how to improve the phenomenon of delay or dropout of the communication channel in the networked control systems. (X)

Over the past few years a considerable number of studies have been made on the discussion of how to overcome the phenomenon of delay or dropout of the communication channel in the networked control systems. (O)

Mar 11, 2008 by 166There are five important components in the framework as information flow, fusion function, plant, and two controllers.

In the framework, information flow, fusion function, plant, and two controllers are the five important components.

According to the balls velocity adjusts the sampling rate can obtain better 3D reconstruction on the position and resolution.

A better 3D reconstruction on the position and resolution can be obtained by adjusting the sampling rate based on the ball velocity. Mar 11, 2008 by 167There are four scenes will be discussed as below. First, when the ball motion keeps within the range of the camera, the camera does not need to move. Second, when the ball runs out the range, the camera should For the example of ball-camera system, four scenes are discussed in detail as below. First, .. There are , There is..

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The communication-related results are firstly discussed.

Mar 11, 2008 by 168Moreover, how to adjust the sampling time, the quantity and quality of the information make the performance of system optimal will be considered. Moreover, adjustment of the sampling time for optimizing the quantity and quality of the information will be considered. how to ..

Mar 11, 2008 by 169

Section IV states three cases that are on-line interactive 3D video game, camera-ball system and object location prediction system. (X)

Section IV states three cases studies: (1) on-line interactive 3D video game, (2) camera-ball system, and (3) object location prediction system. (O) (1)., (2)., (3). and Mar 11, 2008 by 170Abstract In this study, a realization of a snake-like robot and distributed sort algorithms for the modularity of the snake-like robot are discussed.The snake-like robot is driven to perform the snake serpentine locomotion, and three parameters of the Serpenoid curve, a, b and c are adjusted to control the body shape and the motion of the snake-like robot. For the modularity of the snake-like robot, two inter-module communication topologies, series and bus, are considered and two distributed sort algorithms are discussed respectively. Additionally, experiment results and theoretical numerical solutions about one of the distributed sort algorithm are deliberated.

Mar 7, 2008 by 171In this study, a realization of a snake-like robot and distributed sort algorithms for the modularity of the snake-like robot are discussed.realization ,implementation distributed sort algorithms , The snake-like robot is driven to perform the snake serpentine locomotion, and three parameters of the Serpenoid curve, a, b and c are adjusted to control the body shape and the motion of the snake-like robot.is driven tois designated tois designed toa, b, c, , amplitude, phase shift, offsetMar 7, 2008 by 172For the modularity of the snake-like robot, two inter-module communication topologies, series and bus, are considered and two distributed sort algorithms are discussed respectively.For the modularity , communication topologies sort algorithms respectivelyrespectively: two man , two woman , respectively (X), A and B , C and D , respectively (O)Communication topologies distributed sort , communication topologies distributed sort, distributed sort communication topologies, algorithmsMar 7, 2008 by 173Additionally, experiment results and theoretical numerical solutions about one of the distributed sort algorithm are deliberated.experiment (X) experimental (O)theoretical numerical solutions (X) : numerical solutions of theoretical dynamic model (O)deliberated (X) discussed shown (O)Mar 7, 2008 by 174, , In nature, there are plenty kinds of creatures. All of them, develop their own features to adapt different environments, especially snakes. (X)In nature, there are plenty kinds of creatures. All of them, especially snakes, develop their own features to adapt different environments. (O) , , theEx: : the snakes (X) snakes (O) not only , but also , benot only They not only can be configured to a snake robot, but also other three-dimensional structure (X) They can be not only configured to a snake robot, but also other three-dimensional structure (O)

Mar 6, 2008 by 175figure , Figure is Figure 1(a) is a unit module. (X) Figure 1(a) shows a unit module. (O) , 7 cm (X)7cm (O), , and there is a phase lead of 30 between two neighbor pitch joints, in other words, the wave propagate (X), and there is a phase lead of 30 between two neighbor pitch joints. In other words, the wave propagate (O)Mar 6, 2008 by 176A as B , as A B the parameters of Serpenoid curve are the same as the twenty-sixth simulation. (X)the parameters of Serpenoid curve are the same as those in the twenty-sixth simulation. (O), the pegs give resistances back to the snake robot, (X), the pegs generate resistances back to the snake robot, (O) after double periods of the sinusoidal wave. (X) after two periods of the sinusoidal wave. (O)Mar 6, 2008 by 177In the fifteenth to nineteenth simulations, the condition of the ground is kept, (X)In the fifteenth to nineteenth simulations, the condition of the ground is the same, ... (O)the parameter n means the number of assembled modules (X)the parameter n denotes the number of assembled modules (O)By the software, Working Model 3D, (X)By using the software, Working Model 3D, (O)

Mar 6, 2008 by 178Harvard style references CitationWe classify the general unit modules of snake robots to four classes: (a) Non-wheeled: There is no wheel equipped on the modules (Kotay and Rus, 2000; Li et al., 2004; Ma, 2004; Saito et al., 2002)

Mar 6, 2008 by 179, Side-winding (X) side-winding (O)Non-wheeled arms module (X) non-wheeled arms module (O), sTo apply the theories of snake locomotion (Gray, 1946; Hirose, 1993; Saito et al., 2002) to the design of unit modules, (X) To apply the theory of snake locomotion (Gray, 1946; Hirose, 1993; Saito et al., 2002) to the design of unit modules, (O) Mar 6, 2008 by 180-1paper introduction, Robot obstacle avoidance is a key issue of robotics; all mobile robots should have the ability of obstacle avoidance so that they can complete missions without collisions. Generally, the objective of obstacle avoidance task is: Given a start and a goal, drive the robot from start to goal., mobile robot,robotic, ., .key issue, task, , .Robot obstacle avoidance task can be divided into two levels. The first is global path planning, that is, given the whole map of environment and precise location of the robot, planning an optimal path from the robots location to a certain goal. However, in practice cases, it is hard to get the whole environment information and localize the robot precisely. For this reason, local reactive method is needed. In this case, robot knows the direction of its goal but doesnt have a map, it has to move toward goal and avoid obstacles by analyzing its sensor data. , robot obstacle avoidance.Introduction, , , , .obstacle avoidance, robot navigation.

Feb 14, 08 by 181-2The goal of this paper is to develop a local reactive algorithm which can drive robot to goal in an unknown environment with high speed and safety; moreover, the algorithm should have high robustness, that is, it should be able to perform well in arbitrarily complex environments.Unfortunately, though a lot of local reactive methods have been developed, there are no perfect methods; for example, some methods can drive robot fast and smoothly but cannot run well in narrow places, some methods can drive robot safely in complex environment but cannot move in high speed. Generally, there is a trade off between speed, safety and the ability of solving local minima problem, though there are some methods can perform well in all of the three aspects, these methods need expensive sensors (laser range finder, GPS,etc) or complex techniques (localization, SLAMetc).: sensor, ., .Feb 14, 08 by 182-3Therefore, robot should have multiple policies for obstacle avoidance, we can install different methods into the robot and design a proper switching policy so that the robot can perform well in all situations, for better adaptability, we can let the robot learn switching policy by itself using machine learning techniques ., we, I.machine learning, , , .This paper provides a local reactive method which is the mixture of two methods, one is dynamic window approach (DWA) [4: Fox et al. 1997], it can drive robot fast in relatively simple environments; however, if the robots sensors are not good enough, DWA can easily cause collisions in complex environments. When the robot enters narrow places, the control policy will be changed into another method: bug algorithm, it is the simplest local reactive method; though bug algorithm drives robot slower than DWA, it is very effective and safe in complex environments. By combining the two algorithms, robot can perform equally well in simple and complex environments. Moreover, the algorithm in this paper can drive robot well with only 8 sonar sensors, compared to general papers (usually use robot which has 20~30 sonar sensors or a laser range finder), this number is surprisingly small., , .papersensor, citationpaper.Feb 14, 08 by 183-4In this paper, related works are discussed in Section II; this section introduces several popular local reactive methods and explains why DWA is used in this paper. In Section III, DWA and problems of using it are presented. Section IV explains details of the new algorithm, including some modification added in DWA. The experiment results are in Section V, here the new algorithm is compared with only using DWA and only using bug algorithm in several different environments. Finally, conclusions and future works will be discussed., , , .will, . be + ed.be introduced, be showed, be presented.

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Feb 4, 08 by 186Paper, ., ., ., ., ? ? .paper, The development of linear and nonlinear geometric control theoryhas shown that invariant subspaces, and their nonlinear equivalent,invariant distributions, play a fundamental role in the solutionof many design problems.[Tatikonda & Mitter 2004, P20, RP2, L1] (Astolfi & Ortega 2003, P590, RP4, L2)

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2273. references[1: Aweya et al. 2002] J. Aweya, M. Ouellette, and D. Y. Montuno, Inter-working of switched Ethernet and ATM flow control mechanisms, International Journal of Network Management, Vol. 12, No. 6, pp. 357-366, May 2002.[2: Bello and Mirabella 2000] L. Lo Bello and O. Mirabella, "Analysis and comparison of different interconnection solutions for switched Ethernet networks," Proceedings of IEEE International Workshop on Factory Communication Systems, pp. 221-230, Sept. 2000.Note: 2284. 5. Ex:(4.2)6.Level 1: 28ex: Chapter1Level 2: 16ex: 1.1 ...Level 3: 14ex: 1.1.1Level 4: 14,ex: 1.1.1.1 xxxx

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Figure 1.1: Two boxed2303. references[1: Stankovic 2002] S. S. Stankovic, ''Decentralized overlapping control of a platoon of vehicles,'' IEEE Transactions on Control Systems Technology, Vol. 8, No. 5, pp. 816-832, Sep. 2002[2: Bello & Mirabella 2000] L. L. Bello and O. Mirabella, "Analysis and comparison of different interconnection solutions for switched Ethernet networks," Proceedings of IEEE International Workshop on Factory Communication Systems, pp. 221-230, Sep. 2000[3: Aweya et al. 2002] J. Aweya, M. Ouellette, J.M. Korsakas, and D. Y. Montuno, Inter-working of switched Ethernet and ATM flow control mechanisms, International Journal of Network Management, Vol. 12, No. 6, pp. 357-366, May 2002Note: 231Citation: [4: Lian et al. 2001][3: Lian and Chang, 2004]These FormatContentAbstractFigure ContentTable ContentCh1: IntroductionCh2: BackgroundCh3: PreliminaryCh4: Main ContentCh5: ResultCh6: SimulationReference ()Auther, Title, Journal, Title, vol, num, page, location, month, year. Vol.24, No.3, pp. 191-205.24(3): 191-205

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