Textbooks 1. Introduction to Automata Theory, Languages, and Computation

RAJESH P.N.RAO Curriculum Vitae

June2000

Work Address:

The Salk Institute,CNL 10010N.Torrey Pines Road La Jolla,CA92037 Phone:858-453-4100x1527Home Address:

9230Regents Road,Apt.H

La Jolla,CA92037

E-mail:rao@https://www.wendangku.net/doc/274781677.html,

WWW:https://www.wendangku.net/doc/274781677.html,/rao/

Ph.D.in Computer Science,University of Rochester,1998.Dissertation title:Dynamic EDUCATION

Appearance-Based Vision.Advisor:Dr.Dana Ballard.

M.S.in Computer Science,University of Rochester,1994.

B.S.summa cum laude in Computer Science and Mathematics,Angelo State Univer-

sity,Texas,1992.GPA:4.0

Research Associate,Sloan Center for Theoretical Neurobiology,Salk Institute,1997-POSITIONS

present.Advisor:Dr.Terrence Sejnowski.

Research Assistant,Department of Computer Science,University of Rochester,Sum-

mer1993-1997.

Assistant Administrator,Microcomputer Laboratory,Angelo State University,1989-

1992.

Prepared lesson plans and delivered two lectures for an undergraduate course on Com-TEACHING

EXPERIENCE putational Neurobiology(BIPN146)at University of California,San Diego,1999.Pro-fessor:T.Sejnowski.Textbook:Biophysics of Computation by Christof Koch.

Teaching Assistant,Department of Computer Science,University of Rochester,Spring

1993and1994.Courses:1.Theory of Computation2.Design and Analysis of Algo-

rithms.Textbooks:1.Introduction to Automata Theory,Languages,and Computation

by John E.Hopcroft and Jeffrey D.Ullman.2.Introduction to Algorithms by Thomas

H.Cormen,Charles E.Leiserson and Ronald L.Rivest.

Teaching Assistant,Mathematics Department,Angelo State University,1989-1992.Un-

dergraduate courses on calculus and analytical geometry.

Teaching Assistant,Physics Department,Angelo State University,1989-1990.Under-

graduate courses on fundamentals of physics.

Editorial Board:Machine Learning Journal and Autonomous Robots Journal(Joint PROFESSIONAL

ACTIVITIES Special Issue on Learning in Autonomous Robots,1998).

Program Committees:American Association for Arti?cial Intelligence(AAAI)annual

conference,1997;Computer Vision and Pattern Recognition(CVPR),2000.

Organizer:Workshop on“Statistical Theories of Cortical Function”at Breckenridge,

Colorado,December4,1998(with B.Olshausen and M.Lewicki).

Reviewer:(Journals)Neural Computation,Neural Networks,Network:Computation

in Neural Systems,Nature Neuroscience,Journal of Cognitive Neuroscience,Cogni-

tive Science,Visual Cognition,Neuropharmacology,IEEE Transactions on Robotics

and Automation,IEEE Pattern Analysis and Machine Intelligence,Human Computer

Interaction,Physical Review Letters,Information Processing Letters,Theoretical Com-

puter Science,Videre:A Journal of Computer Vision Research.(Conferences)Int.

Conf.on Computer Vision(ICCV)1995,Computer Vision and Pattern Recognition

(CVPR)1997,Neural Information Processing Systems(NIPS)1997,1998and1999.

Organizations:New York Academy of Sciences,Society for Neuroscience,Associa-

tion of Computing Machinery(ACM),ACM Special Interest Group on Algorithms and

Computation Theory and ACM Special Interest Group on Arti?cial Intelligence. GRANTS

Unsupervised Learning for Sensory Fusion.Submitted to Of?ce of Naval Research

(ONR)Adaptive Neural Systems(ANS)program,August,1999.Duration:3years.

Principal Investigator:T.J.Sejnowski,Salk Institute.

Spatiotemporal Maps and Interactions in Directional Cells.Submitted to National In-

stitute of Health(NIH),May,1999.Duration:5years.Principal Investigator:M.S.

Livingstone,Harvard Medical School.

Travel Grants:Neural Information Processing Systems Conference,1995,1997,1998,

and1999;Neural Information and Coding Workshop,1999;Workshop on Computa-

tional Neuroscience and Generative Models,1998;4th Int.Conf.on Simulation of Adap-

tive Behavior,1996.

Alfred P.Sloan Postdoctoral Research Fellowship,Salk Institute for Biological Studies, AWARDS

1997-present.

Computer Science Research and Teaching Assistantship,University of Rochester,1992-

1997.

Presidential Fellowship for Graduate Studies,State University of New York,Buffalo,

1992(declined in favor of Rochester).

Robert and Nona Carr Academic Scholarship for undergraduate study,Angelo State

University,1988-1992.1991Who’s Who among students in American Colleges and

Universities.Alpha Chi(National Honor Scholarship),Epsilon Delta Pi(Computer

Science),and Pi Mu Epsilon(Mathematics)1991-1992.

Invited participant,Research Science Institute(RSI)program for high school students,

Center for Excellence in Education,Virginia,1987.Award Paper:Epitaxy of high-

superconductors(published in Proc.of RSI1987).Second rank in Science in nation-

wide All-India high school examination(1986).Best science exhibit(1986),best entry

for creative writing(1986,1987)and painting(1986).

Computational neuroscience,biological modeling,robotics,adaptive systems,neural RESEARCH

INTERESTS networks,computer vision,arti?cial intelligence,and machine learning.

“Statistical Theories of the Brain”(forthcoming),Rajesh P.N.Rao,Bruno A.Olshausen BOOK

and Michael S.Lewicki(Eds.),Cambridge,MA:MIT Press,2000.

“Learning to maximize rewards:A review of Sutton and Barto’s Reinforcement Learn-BOOK

REVIEW ing:An Introduction,”Rajesh P.N.Rao,Neural Networks,V ol.13(1),pp.135-137, 2000.

INVITED REVIEWS 1.“Receptive Field,”Rajesh P.N.Rao,Encyclopedia of the Human Brain,Aca-

demic Press,San Diego,CA(in preparation).

2.“Models of Attention,”Rajesh P.N.Rao,Encyclopedia of Cognitive Science,

Macmillan Publishers,UK(in preparation).

PUBLICATIONS Computational Neuroscience

1.Rajesh P.N.Rao and Terrence J.Sejnowski.“Predictive Sequence Learning in

Recurrent Neocortical Circuits”Advances in Neural Information Processing Sys-

tems12,Cambridge,MA:MIT Press,pp.164-170,2000.

2.Rajesh P.N.Rao and Dana H.Ballard.“Predictive Coding in the Visual Cor-

tex:A Functional Interpretation of Some Extra-Classical Receptive Field Ef-

fects”Nature Neuroscience,V ol.2(1),pp.79-87,1999.

3.Rajesh P.N.Rao.“An Optimal Estimation Approach to Visual Perception and

Learning”Vision Research,V ol.39(11),pp.1963-1989,1999.

4.Rajesh P.N.Rao and Daniel L.Ruderman.“Learning Lie Groups for Invari-

ant Visual Perception”M.S.Kearns,S.A.Solla and D.Cohn(Eds.),Advances

in Neural Information Processing Systems11,Cambridge,MA:MIT Press,pp.

810-816,1999.

5.Rajesh P.N.Rao and Dana H.Ballard.“Development of Localized Oriented

Receptive Fields by Learning a Translation-Invariant Code for Natural Images”

Network:Computation in Neural Systems,V ol.9(2),pp.219-234,1998.

6.Rajesh P.N.Rao.“Correlates of Attention in a Model of Dynamic Visual Recog-

nition”M.I.Jordan,M.J.Kearns and S.A.Solla(Eds.),Advances in Neural In-formation Processing Systems10,Cambridge,MA:MIT Press,pp.80-86,1998.

7.Dana H.Ballard,Garbis Salgian,Rajesh P.N.Rao and R.Andrew McCallum.

“On the role of time in brain computation”L.R.Harris and M.Jenkin(Eds.),Vi-sion and Action,Cambridge,UK:Cambridge University Press,pp.82-119,1998.

8.Rajesh P.N.Rao and Dana H.Ballard.“Dynamic Model of Visual Recognition

Predicts Neural Response Properties in the Visual Cortex”Neural Computation, V ol.9,pp.721-763,1997.

9.Rajesh P.N.Rao and Dana H.Ballard.“The Visual Cortex as a Hierarchical Pre-

dictor”Technical Report96.4,National Resource Laboratory for the Study of Brain and Behavior,University of Rochester,September1996.Society for Neu-roscience Abstracts23(2),1997.

10.Rajesh P.N.Rao and Dana H.Ballard.“Ef?cient Encoding of Natural Time

Varying Images Produces Oriented Space-Time Receptive Fields”(submitted for publication),Technical Report97.4,National Resource Laboratory for the Study of Brain and Behavior,University of Rochester,August1997.

11.Rajesh P.N.Rao,Gregory J.Zelinsky,Mary M.Hayhoe,and Dana H.Ballard.

“Eye Movements in Visual Cognition:A Computational Study”(submitted for publication),Technical Report97.1,National Resource Laboratory for the Study of Brain and Behavior,Computer Science Department,University of Rochester, March1997.

12.Rajesh P.N.Rao and Dana H.Ballard.“Cortico-Cortical Dynamics and Learn-

ing during Visual Recognition:A Computational Model”J.M.Bower(editor), Computational Neuroscience:Trends in Research1997,New York,NY:Plenum Press,1997.

13.Rajesh P.N.Rao and Dana H.Ballard.“A Computational Model of Spatial Rep-

resentations That Explains Object-Centered Neglect in Parietal Patients”J.M.

Bower(editor),Computational Neuroscience:Trends in Research1997,New York,NY:Plenum Press,1997.

14.Dana H.Ballard,Mary M.Hayhoe,Polly K.Pook,and Rajesh P.N.Rao.“Deictic

Codes for the Embodiment of Cognition”Behavioral and Brain Sciences,V ol.

20(4),pp.723-767,1997.

15.Rajesh P.N.Rao and Dana H.Ballard.“A Class of Stochastic Models for Invari-

ant Recognition,Motion,and Stereo”Technical Report96.1,National Resource Laboratory for the Study of Brain and Behavior,University of Rochester,June 1996.

16.Rajesh P.N.Rao,Gregory J.Zelinsky,Mary M.Hayhoe,and Dana H.Ballard.

“Modeling Saccadic Targeting in Visual Search”D.Touretzky,M.Mozer and M.

Hasselmo(Eds.),Advances in Neural Information Processing Systems8,Cam-bridge,MA:MIT Press,pp.830-836,1996.

17.Rajesh P.N.Rao and Dana H.Ballard.“Learning Saccadic Eye Movements us-

ing Multiscale Spatial Filters”G.Tesauro,D.S.Touretzky and T.K.Leen(Eds.), Advances in Neural Information Processing Systems7,Cambridge,MA:MIT Press,pp.893-900,1995.

18.Dana H.Ballard and Rajesh P.N.Rao.“A Computational Model of Human Vi-

sion Based on Visual Routines”(Invited Paper)Proc.of the DAGM(German Working Group in Pattern Recognition)Symposium,G.Sagerer,S.Posch,and

F.Kummert(Eds.),Berlin:Springer-Verlag,1995.

Computer Vision

19.Rajesh P.N.Rao.“Dynamic Appearance-Based Recognition”Proc.of the

IEEE Computer Society Conference on Computer Vision and Pattern Recogni-tion(CVPR’97),pp.540-546,1997.

20.Rajesh P.N.Rao.“A Kalman Filter That Learns Robust Models of Dynamic

Phenomena”Proceedings of the1997Image Understanding Workshop,New Or-leans,LA,1997.

21.Rajesh P.N.Rao.“Robust Kalman Filters for Prediction,Recognition,and

Learning”(submitted for publication)January1997.University of Rochester Computer Science Technical Report645,December,1996.

22.Rajesh P.N.Rao and Dana H.Ballard.“An Active Vision Architecture based on

Iconic Representations”Arti?cial Intelligence,V ol.78,pp.461-505,1995.Also appeared as University of Rochester Computer Science Technical Report548, April1995.

23.Rajesh P.N.Rao and Dana H.Ballard.“Natural Basis Functions and Topo-

graphic Memory for Face Recognition”Proc.of the International Joint Confer-ence on Arti?cial Intelligence(IJCAI),pp.10-17,1995.

24.Rajesh P.N.Rao and Dana H.Ballard.“Object Indexing using an Iconic Sparse

Distributed Memory”Proc.of the International Conference on Computer Vision (ICCV),pp.24-31,1995.University of Rochester Computer Science Technical Report559,August1995.

25.Rajesh P.N.Rao.“Top-Down Gaze Targeting for Space-Variant Active Vision.”

Proc.of the ARP A Image Understanding Workshop,Monterey,CA,pp.1049-1058,November1994.

26.Rajesh P.N.Rao and Dana H.Ballard.“A Multiscale Filterbank Approach to

Camera Movement Control in Active Vision Systems.”Proc.of1994SPIE Con-ference on Intelligent Robots and Computer Vision XIII:3D Vision,Product In-spection,and Active Vision,V ol.2354,pp.105-116,1994.

27.Dana H.Ballard,Rajesh P.N.Rao,and Garbis Salgian.“Multiscale Spatial Fil-

ters for Visual Tasks and Object Recognition.”(Invited Paper)Proc.of the Sec-ond International Workshop on Visual Form,Capri,Italy,May,1994.

28.Dana H.Ballard,and Rajesh P.N.Rao.“Seeing behind Occlusions.”Proc.of the

Third European Conference on Computer Vision(ECCV),Stockholm,Sweden, May1994,pp.274-285.University of Rochester Computer Science Technical Report487,February1994.

Sensorimotor Learning in Mobile Robots

29.Rajesh P.N.Rao and Olac Fuentes.“Hierarchical Learning of Navigational Be-

haviors in an Autonomous Robot using a Predictive Sparse Distributed Memory”

Autonomous Robots,V ol.5,pp.297-316,1998and Machine Learning,V ol.31, pp.87-113,1998.

30.Rajesh P.N.Rao and Olac Fuentes.“Learning Navigational Behaviors using a

Predictive Sparse Distributed Memory”From Animals to Animats:Proc.of the Fourth Int.Conf.on Simulation of Adaptive Behavior,pp.382-390,1996. 31.Olac Fuentes,Rajesh P.N.Rao,and Michael Van Wie.“Hierarchical Learning

of Reactive Behaviors in an Autonomous Mobile Robot”Proc.of IEEE Interna-tional Conference on Systems,Man and Cybernetics,1995.

32.Rajesh P.N.Rao and Olac Fuentes.“Perceptual Homing by an Autonomous Mo-

bile Robot using Sparse Self-Organizing Sensory-Motor Maps”Proc.of World Congress on Neural Networks,pp.II380-II383,1995.

Theoretical Computer Science

33.Rajesh P.N.Rao.“A Note on P-Selectivity and Closeness”Information Pro-

cessing Letters,V ol.54,pp.179-185,1995.University of Rochester Computer Science Technical Report499,April1994.

34.Rajesh P.N.Rao,J¨o rg Rothe and Osamu Watanabe.“Upward Separation for

FewP and Related Classes”Information Processing Letters,V ol.52,No.4,pp.

175-180,1994.University of Rochester Computer Science Technical Report 488,February1994.

Psychophysics

35.Gregory J.Zelinsky,Rajesh P.N.Rao,Mary M.Hayhoe,and Dana H.Ballard.

“Eye Movements Reveal the Spatiotemporal Dynamics of Visual Search”Psy-chological Science,V ol.8(6),pp.448-453,1997.

36.Gregory J.Zelinsky,Rajesh P.N.Rao,Mary M.Hayhoe,and Dana H.Ballard.

“Adding Resolution to an Old Problem:Eye Movements as a Measure of Visual Search”G.Cottrell(editor),Proc.of the18th Annual Conference of the Cognitive Science Society,June12-15,La Jolla,CA,pp.57-58,1996.

37.Gregory J.Zelinsky,Rajesh P.N.Rao,Mary M.Hayhoe,and Dana H.Ballard.

“Eye Movements during a Realistic Search Task”(abstract).Investigative Oph-thalmology and Visual Science,V ol.37,page S15,1996.

38.Gregory J.Zelinsky,Rajesh P.N.Rao,Mary M.Hayhoe,and Dana H.Ballard.

“Eye Movements and Visual Search in Natural Scenes”(abstract).Optics and Photonics News(supplement),V ol.7,page65,1996.

Popular Media

39.Rajesh P.N.Rao.“Building Computers That See,Adapt and Learn”Trans-

lated article(in Kannada)appeared in Udayavani Kannada Daily(India),July 21,1996.

40.Quoted in a story describing our group’s mobile robot research(see above).

Rochester Democrat and Chronicle(Daily),page8B,December22,1994. 41.Brief television interviews on mobile robot research(Rochester News Channel

13and Rochester Independent News,December1994).

INVITED TALKS&PRE-SENTATIONS 1.Attention as Robust Statistical Filtering.Neural Mechanisms of Perceptual Se-

lection in Visual and Prefrontal Cortex Workshop,Breckenridge,December,1999.

2.Optimal Smoothing in Visual Motion Perception:Evidence from the Flash Lag

Effect.Adaptive Computational Models and Short Time Perceptual Learning Workshop,Breckenridge,December,1999.

3.Predictive Learning of Direction Selectivity in Recurrent Neocortical Circuits.

Spike Timing and Synaptic Plasticity Workshop,Breckenridge,December,1999.

4.Prediction and Recurrent Excitation in the Neocortex.Neural Information and

Coding Workshop,Big Sky,Montana,March,1999.

5.The Predictive Coding Hypothesis of Cortical Function.Center for Biological

and Computational Learning,MIT,April1998,Center for Visual Science Sym-posium,University of Rochester,June1998and Smith-Kettlewell Eye Institute, San Francisco,July1998.

6.Learning Spatiotemporal Generative Models.Workshop on Computational Neu-

roscience and Generative Models,University of Toronto,February1998.

7.Invited Participant,Symposium on Visual Object Recognition:Theory and Ex-

periment,University of Southern California,February1998.

8.The Cerebral Cortex as a Predictor and Model Builder(Postdoc Job Talk).The

Salk Institute for Biological Studies,February1997.

9.The Visual Cortex as a Hierarchical Predictor.Telluride Workshop on Neuro-

morphic Engineering(1996),Center for Visual Science,University of Rochester (1996)and NIPS Workshop on“Vertebrate Neurophysiology and Neural Net-works:Can the teacher learn from the student?”(1995).

CONFERENCE TALKS

1.Predictive Sequence Learning in Recurrent Neocortical Circuits(Spotlight).Neu-

ral Information Processing Systems Annual Conference(1999).

2.Direction Selectivity from Predictive Sequence Learning in Recurrent Neocorti-

cal Circuits.Society for Neuroscience Annual Meeting(1999),6th Joint Sym-

posium on Neural Computation(1999).

3.The Visual Cortex as a Hierarchical Predictor.Society for Neuroscience Annual

Meeting(1997).

4.Dynamic Appearance-Based Recognition.IEEE Computer Society Conference

on Computer Vision and Pattern Recognition(CVPR),1997.Best presentation

award in“Object Recognition”session.

5.Cortico-Cortical Dynamics and Learning during Visual Recognition:A Compu-

tational https://www.wendangku.net/doc/274781677.html,putational Neuroscience(CNS)Annual Meeting,1996.

6.Modeling Saccadic Targeting in Visual Search.Neural Information Processing

Systems(NIPS)Annual Conference,1995.

7.Perceptual Homing by an Autonomous Mobile Robot using Sparse Self-Organizing

Sensory-Motor Maps.World Congress on Neural Networks(WCNN),1995.

8.Natural Basis Functions and Topographic Memory for Face Recognition.Inter-

national Joint Conference on Arti?cial Intelligence(IJCAI),1995.

9.Object Indexing using an Iconic Sparse Distributed Memory.International Con-

ference on Computer Vision(ICCV),1995.

10.Learning Saccadic Eye Movements using Multiscale Spatial Filters.Neural In-

formation Processing Systems(NIPS)Annual Conference,1994.

11.A Multiscale Filterbank Approach to Camera Movement Control in Active Vision

Systems.SPIE Conference on Intelligent Robots and Computer Vision XIII:3D

Vision,Product Inspection,and Active Vision,1994.

12.Seeing behind Occlusions.Third European Conference on Computer Vision(ECCV),

Stockholm,Sweden,1994.

Born in Madras,India,July2,1970.

PERSONAL

Ancient history,music,basketball,racquetball,table tennis,tennis,yoga. HOBBIES

REFERENCES

Prof.Dana H.Ballard Prof.Christopher M.Brown

Department of Computer Science Department of Computer Science

University of Rochester University of Rochester

Rochester,NY14627-0226Rochester,NY14627-0226

Phone:(716)275–3772Phone:(716)275–7852

Fax:(716)461-2018Fax:(716)461-2018

dana@https://www.wendangku.net/doc/274781677.html, brown@https://www.wendangku.net/doc/274781677.html,

Prof.Mary M.Hayhoe Prof.Bruno A.Olshausen

Center for Visual Science Center for Neuroscience

University of Rochester UC Davis

Rochester,NY14627Davis,CA95616

Phone:(716)275–8673Phone:(916)757–8749

Fax:(716)271-3043Fax:(916)757-8827

mary@https://www.wendangku.net/doc/274781677.html, baolshausen@https://www.wendangku.net/doc/274781677.html,

Prof.Terrence J.Sejnowski

Howard Hughes Medical Institute

Salk Institute,CNL

La Jolla,CA92037

(858)453–4100x1611

terry@https://www.wendangku.net/doc/274781677.html,

1 Introduction On

On choice-o?ering imperatives Maria Aloni? 1Introduction The law of propositional logic that states the deducibility of either A or B from A is not valid for imperatives(Ross’s paradox,cf.[9]).The command (or request,advice,etc.)in(1a)does not imply(1a)(unless it is taken in its alternative-presenting sense),otherwise when told the former,I would be justi?ed in burning the letter rather then posting it. (1) a.Post this letter!? b.Post this letter or burn it! Intuitively the most natural interpretation of the second imperative is as one presenting a choice between two actions.Following[2](and[6])I call these choice-o?ering imperatives.Another example of a choice-o?ering imperative is (2)with an occurence of Free Choice‘any’which,interestingly,is licensed in this context. (2)Take any card! Like(1a),this imperative should be interpreted as carrying with it a permission that explicates the fact that a choice is being o?ered. Possibility statements behave similarly(see[8]).Sentence(3b)has a read-ing under which it cannot be deduced from(3a),and‘any’is licensed in(4). (3) a.You may post this letter.? b.You may post this letter or burn it. (4)You may take any card. In[1]I presented an analysis of modal expressions which explains the phe-nomena in(3)and(4).That analysis maintains a standard treatment of‘or’as logical disjunction(contra[11])and a Kadmon&Landman style analysis of‘any’as existential quanti?er(contra[3]and[4])assuming,however,an in-dependently motivated‘Hamblin analysis’for∨and?as introducing sets of alternative propositions.Modal expressions are treated as operators over sets of propositional alternatives.In this way,since their interpretation can depend on the alternatives introduced by‘or’(∨)or‘any’(?)in their scope,we can account for the free choice e?ect which arises in sentences like(3b)or(4).In this article I would like to extend this analysis to imperatives.The resulting theory will allow a uni?ed account of the phenomena in(1)-(4).We will start by presenting our‘alternative’analysis for inde?nites and disjunction. ?ILLC-Department of Philosophy,University of Amsterdam,NL,e-mail:M.D.Aloni@uva.nl

1.introduction

Introdution

Mike Jian

INTRODUCTION ?Section A: ?Comprises 8 two mark and 4 one mark multiple choice questions. ?Section B: ?Four 10 mark questions. ?Two 20 mark questions.

INTRODUCTION The examination is a three hour paper with 15 minutes reading and planning time. All questions are compulsory. Some questions will adopt a scenario/case study approach. All those questions will require some form of written response although questions on planning or review may require the calculation and interpretation of some basic ratios.

1.Which TWO of the following should be included in an audit engagement letter? ①Objective and scope of the audit ②Results of previous audits ③Management’s responsibilities ④Need to maintain professional scepticism A.① and ② B.① and ③ C.② and ④ D.③ and ④ (2 marks)

外文翻译关于Linux的介绍(Introduction to Linux)

毕业设计说明书 英文文献及中文翻译 学 专 指导教师： 2014 年 6 月

Introduction to Linux 1.1 History 1.1.1 UNIX In order to understand the popularity of Linux, we need to travel back in time, ab out 30 years ago... Imagine computers as big as houses, even stadiums. While the sizes of those com puters posed substantial problems, there was one thing that made this even worse: eve ry computer had a different operating system. Software was always customized to ser ve a specific purpose, and software for one given system didn't run on another system. Being able to work with one system didn't automatically mean that you could work w ith another. It was difficult, both for the users and the system administrators. Computers were extremely expensive then, and sacrifices had to be made even after th e original purchase just to get the users to understand how they worked. The total cost of IT was enormous. Technologically the world was not quite that advanced, so they had to live with t he size for another decade. In 1969, a team of developers in the Bell Labs laboratories started working on a solution for the software problem, to address these compatibility issues. They developed a new operating system, which was simple and elegant written in the C programming language instead of in assembly code able to recycle code. The Bell Labs developers named their project "UNIX." The code recycling features were very important. Until then, all commercially av ailable computer systems were written in a code specifically developed for one system . UNIX on the other hand needed only a small piece of that special code, which is now commonly named the kernel. This kernel is the only piece of code that needs to be ad apted for every specific system and forms the base of the UNIX system. The operating system and all other functions were built around this kernel and written in a higher pr ogramming language, C. This language was especially developed for creating the UNI

自我介绍(self-introduction)

自我介绍(self-introduction) ??? 1. Good morning. I am glad to be here for this interview. First let me introduce myself. My name is ***, 24. I come from ******,the capital of *******Province. I graduated from the ******* department of *****University in July ,2001.In the past two years I have been preparing for the postgraduate examination while I have been teaching *****in NO.****middle School and I was a head-teacher of a class in junior grade two. Now all my hard work has got a result since I have a chance to be interview by you . I am open-minded ,quick in thought and very fond of history.In my spare time,I have broad interests like many other youngsters.I like reading books, especially those about *******.Frequently I exchange with other people by making comments in the forum on line.

加拿大介绍Canada Introduction

Canada Introduction Canada has a population just less than 30 million people in a country twice the area of the United States. The heritage of Canada was French and English; however, significant immigration from Asia and Europe's non-French and English countries has broadened Canada's cultural richness. This cultural diversity is considered a national asset, and the Constitution Act prohibits discrimination against individual citizens on the basis of race, color, religion, or sex. The great majority of Canadians are Christian. Although the predominant language in Canada is English, there are at least three varieties of French that are recognized: Quebecois in Quebec, Franco-Manitoban throughout Manitoba and particularly in the St. Boniface area of Winnipeg, and Acadian. The Italian language is a strong third due to a great influx of Italian immigrants following W.W.II. Canada's three major cities are distinctively, even fiercely different from one another even though each is a commercially thriving metropolitan center. Montreal, established in the 17th century and the largest French city outside France, has a strong influence of French architecture and culture. It is a financial and manufacturing center

英语口语集锦-介绍(introduction)

英语口语集锦－介绍(introduction) making introductions 给人作介绍 1. jane, tom. tom, jane. 2. jane, this is tom, tom, this is jane. 3. jane, i’d like you to meet my friend tom. 4. jane, have you met tom? 5. jane, do you know tom? 6. look, tom’s he re. tome, come and meet jane. 7. jane, this is tom. he’s a friend from college. 8. jane, tom is the guy i was telling you about. 9. do you know each other? 10. have you two met ? 11. have you two been introduced? 12. allow me to introduce professor linda ferguson of harvard university. 13. let me introduce our guest of honor, mr.david morris. 14. if you want to be introduced to the author, i think i can arrange it.

making a self-introduction 作自我介绍 1. may i introduce myself 2. hello, i’m hanson smith. 3. excuse me, i don’t think we’ve met. my name’s hanson smith. 4. how do you do? i’m hanson smith. 5. i’m david anderson. i don’t believe i’ve had the pleasure. 6. first let me introduce myself. i’m peter white, production manager. 7. my name is david. i work in the marketing department. after being introduced. 被介绍与对方认识后. 1. i’m glad to meet you. 很高兴认识你. 2. nice meeting you. 很高兴认识你. (平时用得最多的是nice to meet you ) 3. how nice to meet you. 认识你真高兴. 4. i’ve heard so much about you. 我知道很多关于你的事儿. 5. helen has told me all about you. 海伦对我将了好多你的事儿. 6. i’ve been wanting to meet you for some time.

英语自我介绍(self-introduction)模板

英语自我介绍例文模板： Sample1 My name is ________. I am graduate from ________ senior high school and major in ________. There are ________ people in my family. My father works in a computer company. And my mother is a housewife. I am the youngest one in my family. In my spare time, I like to read novels. I think reading could enlarge my knowledge. As for novels, I could imagine whatever I like such as a well-known scientist or a kung-fu master. In addition to reading, I also like to play PC games. A lot of grownups think playing PC games hinders the students from learning. But I think PC games could motivate me to learn something such as English or Japanese. My favorite course is English because I think it is interesting to say one thing via different sounds. I wish my English could be improved in the next four years and be able to speak fluent English in the future. Sample2: I am . I was born in . I graduate from senior high school and major in English. I started learning English since I was 12 years old. My parents ha ve a lot of American friends. That’s why I have no problem communicating with Americans or others by speaking English. In my spare time, I like to do anything relating to English such as listening to English songs, watching English movies or TV programs, or even attending the activities held by some English clubs or institutes. I used to go abroad for a short- term English study. During that time, I learned a lot of daily life English and saw a lot of different things. I think language is very interesting. I could express one substance by using different sounds. So I wish I could study and read more English literatures and enlarge my knowledge. Sample3: My name is . There are 4 people in my family. My father is a Chemistry teacher. He teaches chemistry in senior high school. My mother is an English teacher. She teaches English in the university. I have a younger brother, he is a junior high school student and is preparing for the entrance exam. I like to read English story books in my free time. Sometimes I surf the Internet and download the E- books to read. Reading E- books is fun. In addition, it also enlarges my vocabulary words because of the advanced technology and the vivid animations. I hope to study both English and computer technology because I am interested in both of the subjects. Maybe one day I could combine both of them and apply to my research in the future. Sample4: My name is . I am from . There are people in my family. My father works in a computer company. He is a computer engineer. My mother works in a international trade company. She is also a busy woman. I have a older sister and a younger brother. My sister is a junior in National Taiwan University. She majors in

用英语Introduction 介绍

Introduction 介绍 Making introductions 给人作介绍 1. Jane, Tom. Tom, Jane. 2. Jane, this is Tom, Tom, this is Jane. 3. Jane, I'd like you to meet my friend Tom. 4. Jane, have you met Tom? 5. Jane, do you know Tom? 6. Look, Tom's here. Tome, come and meet Jane. 7. Jane, this is Tom. He's a friend from college. 8. Jane, Tom is the guy I was telling you about. 9. Do you know each other? 10. Have you two met ? 11. Have you two been introduced? 12. Allow me to introduce Professor Linda Ferguson of Harvard University. 13. Let me introduce our guest of honor, Mr.David Morris. 14. If you want to be introduced to the author, I think I can arrange it. Making a self-introduction 作自我介绍 1. May I introduce myself 2. Hello, I'm Hanson Smith. 3. Excuse me, I don't think we've met. My name's Hanson Smith. 4. How do you do? I'm Hanson Smith. 5. I'm David Anderson. I don't believe I've had the pleasure. 6. First let me introduce myself. I'm Peter White, production manager. 7. My name is David. I work in the marketing department. After being introduced. 被介绍与对方认识后 1. I'm glad to meet you. 很高兴认识你。 2. Nice meeting you. 很高兴认识你。 3. How nice to meet you. 认识你真高兴。 4. I've heard so much about you. 我知道很多关于你的事儿。 5. Helen has told me all about you.

希腊罗马神话1. Introduction

1 Introduction Greco-Roman mythology is the cultural reception of myths from the ancient Greeks and Romans. Along with philosophy and political thought, mythology represents one of the major survivals of classical antiquity throughout later Western culture. Greek mythology is the body of myths and legends belonging to the ancient Greeks, concerning their gods and heroes, the nature of the world, and the origins and significance of their own cult and ritual practices. They were a part of religion in ancient Greece and are part of religion in modern Greece and around the world as Hellenismos. Modern scholars refer to, and study the myths in an attempt to throw light on the religious and political institutions of Ancient Greece, its civilization, and to gain understanding of the nature of myth-making itself. Roman mythology is the combination of the beliefs, the rituals, and the observances of supernatural occurrences by the ancient Romans from early periods until Christianity finally completely replaced the native religions of the Roman Empire. The religion of the early Romans was so changed by the addition of numerous and conflicting beliefs in later times, and by the assimilation of a vast amount of Greek mythology, that it cannot be ever reconstructed precisely. This was because of the extensive changes in the religion before the literary tradition began. Most of the Greek deities were adopted by the Romans, although in many cases there was a change of name. Much of what became Roman mythology was borrowed from Greek mythology at a later date, as Greek gods were associated with their Roman counterparts. Greek mythology is embodied, explicitly, in a large collection of narratives, and implicitly in Greek representational arts, such as vase-paintings and votive gifts. Greek myth attempts to explain the origins of the world, and details the lives and adventures of a wide variety of gods, goddesses, heroes, heroines, and mythological creatures. These accounts initially were disseminated in an oral-poetic tradition; today the Greek myths are known primarily from Greek literature. The oldest known Greek literary sources, the epic poems Iliad and Odyssey, focus on events surrounding the Trojan War. Two poems by Homer's near contemporary Hesiod, the Theogony and the Works and Days, contain accounts of the genesis of the world, the

Introduction 介绍

Introduction 介绍 一、Introducing Each other 介绍相识 高频语句 自我介绍 1.May I introduce myself to you? 我可以作自我介绍吗？ 2.Did you meet before? 我们见过面吗？ 3.Allow me to introduce myself. 请允许我作个自我介绍。 4.Hello, my name is Bill. 你好，我叫比尔。 5.Can you just introduce yourself to the other guests? 您向其他客人自我介绍一下， 好吗？ 6.Are you Mr. Smith? 你是史密斯先生吗？ 7.Do you mind if I join you? 我加入你们当中来，介意吗？ 8.Here is my card. 这是我的命。 9.It’s really an honor for me to meet you. 真的很荣幸认识你。 10.This is the first time we have met. 这是我们第一次见面。 介绍同事 1.I’d like you to meet Mary, my colleague. 我介绍你们认识玛丽，我的同事。 2.Will you introduce me to that lady? 把我介绍给那位女士认识一下，好吗？ 3.I don’t think you have known each other. 我想你们俩还互不认识吧。 4.Just go in and meet everyone. 进去和大家认识一下。 5.May I introduce Mr. Chen？让介绍一下陈先生好吗？ 相互寒暄 1.We have been looking forward to meeting you. 我们一直盼望着见到您。 2.I’m delighted to know you. 很高兴认识你。 3.Is this your first visit to Shanghai? 这是您第一次来上海？ 4.I can show you around while you’re here. 您在此逗留期间我可以带着您到处 走走。 5.Mr. Li has told me all about you. 李先生对我讲了好多你的事儿。 二、Products Introduction 产品介绍