国际会议英文主持词.docx

1、国际会议英文主持词国际会议英文主持词【篇一：国际会议主持词 英语口语】ladies and gentlemen:good afternoonwelcome to nanjing! welcome to southeast university! i mgoing to be the host of this management forum. please allow me to extend our warmest congratulations to the conference and the most cordial welcome to you. thank you very muc

2、h for your attention. management forum is devoted to expanding academic communication, promoting mutual understanding and following the advanced studies. this time, the forum will focus on frontier international management. it includes thefrontier trend and the application of ne w theory. now, let s

3、 clapour hands and welcome the chairman of the conference tohave an welcome speech.thank you! it s really a heart-warming speech.well, ladies and gentlemen, please allow me to introduce ourspeaker today, professor cui, and it a greats pleasure for meto introduce her to us all. she comes from harvard

4、 business college and devoted to the study about frontier management.the topic of her speech is ” current management trends andissues ” . please join me in welcoming our guest speaker, cui.the next speaker is professor wang. since 1992, he has published nearly 20 papers, of which more than 5 were in

5、cluded in journal of management. at present, he is also the regular member of society of business administration, which is the most authoritative international organization in this field. please join me in welcoming professor wang, whose topic is ” leadership ”.thanks for two professors excellent re

6、ports. do you have anyquestions? i hope you will participate in the discussion byraising your hands.thanks two professors again for their excellent explanation.and thanks all of you for your attention and your time. iappreciate it very much. but now, i m sorry to say that thisconference will have to

7、 stop here. we will invite the next conference organizer to give an speech.【篇二：英文国际会议主持人稿】opening remarks:distinguished delegates and guests,ladies and gentlemen,itsa great privilege for me to start the conference.let me introducemyself first. i am du ruimin from harbin engineering university.and i

8、am very honored to be the chair person for thismorning s session. it is a great pleasure for me to share thechairmanship with professor lee guobin who is harvarduniversity. on behalf of the organizing committee of tcassp , iwould like to announce the session open.what we are going todo this morning

9、is to review the different aspects of signalprocessing and their current research challenges.we have some of the worlds foremost professors andresearchers, people at the forefront of this field. let meintroduce our first speaker professor lee guobin, who is thedirector of information and communicati

10、on engineeringapartment of harvard university.professor lee has publishedextensively in sci and books on the subject of image, video,and multidimenional signal processing. his presentation isentitled“-noreference perceptual quality assessment of jpegcompressed images” . let s welcome professor leeth

11、ank you, prof. lee. your presentation is very convincing.from your presentation, we know that (-)your speech isindeed very useful, interesting and challengeable. thank you.qa-dai jia comes from columbia university who is famous for hisstudy on signal processing theory and methods,and also makeits ap

12、plication have a practical significance.our speaker is alsoco-author of five books and over 40 published articles. as acommunications expert, he has been quoted in the seattletimes, the chicago tibune and the atlanta journalconstitution.now a lot of first-class books on this subject arewrote by prof

13、essor dai,and today we are very honored to haveprof.dai give us a speech entitled“ fractionalierfourtansformand its applications” .let -thank you, prof.dai. your speech is the absolutely inspiring.we are delighted to be able to share your new specificstrategies and techniques. (-)will be greatly che

14、rished by thepeople present here. now, let s welcome our next speaker, dr. cao qingming.dr.cao qingming is a professor and thechairperson of the electrical engineering department at the ohio state university in columbus, ohio.our speaker got his ph.d. in ee at the university of california, berkeley,

15、 followed by a series of teaching and research positions at harvard, cambridge university, and princeton.for the past 6 years,he published more than10 papers on journal.please join me inwelcoming our guest speaker today dr.cao qingming, whosetopic is entitled signal processing for communications and

16、networking.qa-（thank you very much for your worthwhile/enlightening/informative presentation. let s welcome the nextspeaker prof. guo xiangchen with warm applause. ） xiangchen is from chongqing jiaotong university,who is co-author of five books and over 40 published articles. as acommunications expe

17、rt, he has been quoted in theseattle times, the chicago tibune and the atlanta journalconstitution.our speaker has been honored many awards-2013marconi prize paper award and a national book award.today,guo xiangchen will address you on multicast scheduling andresource allocation algorithms for ofdma

18、-based systems: asurvey.let s welcome prof.guo xiangchen.qa-prof.guo xiangchen s speech is highly useful, interesting andinformative. we have learnt a lot from him. thank you again,prof.guo xiangchen.qaladies and gentlemen, our distinguished guest speakers havefinished their presentations. we now en

19、ter into discussion andshare with each other our different ideas. i hope that all herepresent will feel free to express your ideas and exchangevarious opinions, so as to make this discussion a real success.yes, the young man in the second row, please.closing speech:i d like to pay my tribute to the

20、speakers for their excellentpresentations and the audience for their attention this morning.i declare the plenary session adjourned until 12 a.m.【篇三：英文国际会议讲稿】ppt(1)大家上午好！今日我报告的主题是：鉴于改良型 lbp 算法的运动目标检测系统。运动目标检测技术能降低视频监控的人力成本，提升监控效率，同时也是运动目标提取、追踪及辨别算法的基础。图像信号拥有数据量大，及时性要求高等特点。跟着算法的复杂度和图像清楚度的提升，需要的办理速度也愈

21、来愈高。好运的是，图像处理的固有特征是并行的，特别是低层和中间层算法。这一特征使这些算法，比较简单在 fpga 等并行运算器件上实现，今日报告的主题就是对于改良型 lbp 算法在硬件上的实现。good morning everyone.my report is about a motion detection system based on improved lbp operator.automatic motion detection can reduce the human cost ofvideo surveillance and improve efficiency ?f?(?)ns?

22、 ，it is also the fundament of object extraction, tracking andrecognitionrek?gn?(?)n. in this work, efforts ef?ts were made to establish the background model which is resistance to the variation of illumination. and our video surveillance system was realized on a fpga based platform.ppt(2)目前，常用的运动目标检

23、测算法有背景差分法、帧间差分法等。帧间差分法的基来源理是将相邻两帧图像的对应像素点的灰度值进行减法运算，若获取的差值的绝对值大于阈值，则将该点判断为运动点。可是帧间差分检测的结果常常是运动物体的轮廓，没法获取目标的完好形态。currently, optic flow, background subtraction and inter-frame difference are regard as the three mainstream algorithms to detect moving object.inter-frame difference based method need not

24、model m?dl the background. it detects moving objects based on the frame difference between two continuous frames. the method is easy to be implemented and can realize real-time detection, but it cannot extract the full shape of the moving objects 6. ppt(3)在摄像头固定的状况下，背景差分法较为简单，且易于实现。若背景已知，并能供给完好的特点数据

25、，该方法能较正确地检测出运动目标。但在实质的应用中，正确的背景模型很难成立。假如背景模型假如没有很好地适应场景的变化，将大大影响目标检测结果的正确性。像这副图中，背景模型没有及时更新，致使了检测的错误。the basic principle of background removal method is building a background model and providing a classification of the pixels into either foreground or background 3-5. in a complex and dynamic environ

26、ment, it is difficult to build a robust r?(?)b?st background model.ppt(4)上述的帧间差分法和背景差分法都是鉴于灰度的。鉴于灰度的算法在光照条件改变的状况下，性能会大大地降低，甚至失掉作用。the algorithms we have discussed above are all based ongrayscale. in practical applications especially outdoorenvironment, the grayscales of each pixel are unpredictablys

27、hifty because of the variations in the intensity and angle ofillumination.ppt(5)为认识决光照改变带来的鉴于灰度的算法无效的问题，我们考虑用纹理特点来检测运动目标。而 lbp 算法是目前最常用的表征纹理特征的算法之一。第一在图像中提取相邻 9 个像素点的灰度值。而后对 9 个像素中除中心像素之外的其余 8 个像素做二值化办理。大于等于中心点像素的，标志为 1，小于的则标志为 0。最后将中心像素点四周的标志值按一致的次序摆列，获取 lbp 值，图上当算出的 lbp值为 10001111 。当某地区内全部像素的灰度都同时

28、增大或减小必定的数值时，该地区内的 lbp 值是不会改变的，这就是 lbp 对灰度的平移不变特征。它能够很好地解决灰度受光照影响的问题。in order to solve the above problems, we proposed an improved lbp algorithm which is resistance to the variations of illumination.local binary pattern (lbp) is widely used in machine vision applications such as face detection, face

29、recognition and moving object detection 9-11. lbp represents a relatively simple yet powerful texture descriptor which can describe the relationship of a pixel with its immediate neighborhood. the fundamental of lbp operator is showed in fig 1. the basic version of lbp produces 256 texture patterns

30、based on a 9pixels neighborhood. the neighboring pixel is set to 1 or 0 according to the grayscale value of the pixel is larger than the value of centric pixel or not. for example, in fig1 7 is larger than 6, so the pixel in first row first column is set to 1. arranging the 8 binary numbers in certain order, we get an 8 bits binary number, which is the lbp pattern we need. for example in fig.1, the lbp is 10001111. lbp is tolerant t?l(?)r(?)nt against illumination changing. when the grayscales of pixels in a 9 pi