模拟国际会议PPT（全文5篇）

第一篇：模拟国际会议PPT

一、基本内容

标题页、目录页、章节内容、声明、参考文献、致谢

其中，章节内容通常包括主题介绍、实验或者计算过程、结果、结论或总结

二、PPT制作步骤

1)确定章节内容，对各部分内容进行逻辑性分析和重要性排序

2)PPT初步成型

3)PPT详细设计

4)检查完善

三、设计原则

 目的明确、思路清晰、逻辑性强

 文字、表格、图表合理搭配，并善于使用结构图

 简洁大方、有较好的视觉效果

四、设计内容

 版式设计

 模板设计

 配色设计

 动画设计

 切换设计

 效果设计

说明：

1)PPT是辅助说明的工具，使表达内容达到易于接受、赏心悦目的效果。

2)PPT制作熟能生巧，注意搜集好的设计和素材，制作时信手拈来。

3)PPT的使用效果与演讲者的表达技巧密切相关，演讲者应该以饱满的热情，尽力将自己

熟知的内容分享给观众。

第二篇：模拟国际会议演讲稿

Recsplorer:Recommendation Algorithms Based on Precedence Mining

1.Introduction Thank you very much, Dr.Li, for your kind introduction.Ladies and gentlemen, Good morning!I am honored to have been invited to speak at this conference.Before I start my speech, let me ask a question.Do you think recomemdations from others are useful for your internet shopping? Thank you.It is obvious that recommendations play an important role in our daily consumption decisions.Today, my topic is about Recommendation Algorithms Based on Precedence Mining.I want to share our interesting research result on recommendation algorithms with you.The content of this presentation is divided into 5 parts: in session 1, I will intruduce the tradictional recommendation and our new strategy;in session 2, I will give the formal definition of Precedence Mining;in session 3, I will talk about the novel recommendation algorithms;experimental result will be showed in session 4;and finally, I will make a conclusion.2.Body Session 1: Introduction The picture on this slide is an instance of recommemdation application on amazon.Recommender systems provide advice on products, movies,web pages, and many other topics, and have become popular in many sites, such as Amazon.Many systems use collaborative filtering methods.The main process of CF is organized as follow: first, identify users similar to target user;second, recommend items based on the similar users.Unfortunately, the order of consumed items is neglect.In our paper, we consider a new recommendation strategy based on precedence patterns.These patterns may encompass user preferences, encode some logical order of options and capture how interests evolve.Precedence mining model estimate the probability of user future consumption based on past behavior.And these probabilities are used to make recommendations.Through our experiment, precedence mining can significantly improve recommendation performance.Futhermore, it does not suffer from the sparsity of ratings problem and exploit patterns across all users, not just similar users.This slide demonstrates the differences between collaborative filtering and precedence mining.Suppose that the scenario is about course selection.Each quarter/semester a student chooses a course, and rates it from 1 to 5.Figure a)shows five transcripts, a transcript means a list of course.U is our target student who need recommendations.Figure b)illustrates how CF work.Assume similar users share at least two common courses and have similar rating, then u3 and u4 are similar to u, and their common course h will be a recommendation to u.Figure c)presents how precedence mining work.For this example, we consider patterns where one course follows another.Suppose patterns occour at least two transcrips are recognized as significant, then(a,d),(e,f)and(g,h)are found out.And d, h, and f are recommendation to u who has taken a, g and e.Now I will a probabilistic framework to solve the precedence mining problems.Our target user has selected course a , we want to compute the probability course x will follow, i.e., Pr[x|a].﹁howerve, what we really need to calculate is Pr[x|aX] rather than Pr[x|a].Because in our context, we are deciding if x is a good recommendation for the target user that has taken a.Thus we know that our target user’s transcript does not have x before a.For instance, the transcript no.5 will be omitted.In more common situation, our target user has taken a list of courses, T = {a,b,c,…} not

﹁just a.Thus, what really need is Pr[x|TX].The question is how to figure out this probability.I will answer it later.Session 2: Precedence Mining We consider a set D of distinct courses.We use lowercase letters(e.g., a, b, …)to refer to courses in D.A transcript T is a sequence of courses, e.g., a-> b-> c-> d.Then the definition of Top-k Recommendation Problem is as follows.Given a set transcripts over D for n users, the extra transcript T of a target user, and a desired number of recommendations k, our goal is to: 1.Assign a score score(x)(between 0 and 1)to every course x ∈ D that reflects how likely it is the target student will be interested in taking x.If x ∈ T , then score(x)= 0.2.Using the score function, select the top k courses to recommend to the target user.To compute scores, we propose to use the following statistics, where x, y ∈ D: f(x): the number of transcripts that contain x.g(x;y): the number of transcripts in which x precedes course y.This slide shows the calculation result of f(x)and g(x,y).For example, from the table, we know that f(a)is 10 and g(a,c)is 3.We propose a precedence mining model to solve the Top-k Recommendation Problem.Here are ﹁some notation: xy, which we have memtioned in session 1, refers to transcript where x occurs without a preceding y;x﹁y refers to transcript where x occurs without y following it.We use quantities f(x)and g(x,y)to compte probabilities that encode the precedence information.For instance, from formular 1 to 7.I would not tell the detail of all formulars.We just pay attention to

﹁formular 5, note that this quantity above is the same as: Pr[x﹁y |yx] which will be used to compute score(x).As we know, the target user usually has taken a list of courses rather than a course, so we need to

﹁extent our probability calculation formulars.For example, suppose T={a,b}, Pr[xT] the probability x occurs without either an a or b preceding it;Pr[x﹁T] the probability x occurs without either an a or b following it.This probability can be calculated exactly.So how to calculate it?

Session 3: Recommendation Algorithms Let’s review session 2.The main goal of the recommendation algorithms is to calculate the score(x), and then select the top k courses based on these scores.Traditional recommendation algorithms compute a recommendation score for a course x in D only based on its frequency of occurence.It does not take into account the courses taken by the target user.Our recommendation algorithms called SingleMC conquer the shortcoming of the traditional ones.It computes the score(x)using the formular 5.The detail is as follows: a student with a transcrip T of taken courses, for the course y ∈ T, if y and x appear together in transcripts satisfies the

﹁threshold θ, then compute the Pr[x﹁y |yx], reflecting the likelihood the student will take course x

﹁and ignoring the effect of the other courses in T;finally the maximum of Pr[x﹁y |yx] is choosen as the score(x).Here is the calculation formular of score(x)of SignleMC.For example, with the higer score, d will be recommended.Another new recommendation algorithm named Joint Probabilities algorithm, JointP for short, is proposed.Unlike SingleMC, JointP takes into account the complete set of courses in a transcript.In formular 12, we cannot compute its quantity exactly, Remember this problem we have mentioned.Our solution is to use approximations.This slide is about the first approximating formular.And this the second approximating formular.The system is courseRand, and data set for experiment contains 7,500 transcripts.This slide shows the new recommendation algoritms with black color and the traditional ones with blue color.The chart on this slide indicates our new recommendation algorithms beat the traditional ones in precision, because the former ones exploit patterns across all users, while the latter ones just use the similar users.The chart on this slide points out our new recommendation algorithms also beat the traditional ones in coverage for the same reason.Session 5: Conclusion and Summary In conclusion, we proposed a novel precedence mining model, developed a probabilistic framework for making recommendations and implemented a suite of recommendation algorithms that use the precedence information.Experimental result shows that our new algorithms perform better than the traditional ones, and our recommendation system can be easily generalized to other scenarios, such as purchases of books, DVDs and electronic equitment.To sum up, first, I introduced the motivation and the outline of work;second, I gave the definition of precedence mining model;third, I described some new recommendation algorithms using precedence information;forth, I showed our experimental results to compare the new algorithms with traditional ones.Finally, I made a conclusion of our work..That’s all.Thank you!Are there any questions?

第三篇：模拟国际会议演讲稿

1.Introduction Thank you very much.Mr.Jiao, for your kind introduction.Ladies and gentlemen, Good afternoon!My name is Lijia, came from Harbin Engineering University.I am honored to have been invited to speak at this conference.Before I start my speech, let me ask a question.Do you know what can affect the properties of foam concrete? Do you think how to reinforced the properties of foam concrete？Most of the investigations on foam concrete in the past have been conﬁned（被限于）to neat cement paste, cement paste with partial replacement with admixtures and to cement–sand mixes.Today, my topic is about Inﬂuence of ﬁller type on the properties of foam concrete.I want to share our interesting research result on reinforced concrete frame with you.The content of this presentation is divided into 4 parts: In section 1, I will introduce what is the foam concrete.In section 2, I will talk about Parameters investigated and mix compositions.In section 3, I will give Eﬀect of water–solids ratio on design density.And finally, I will make a conclusion.2.Body Section 1: the foam concrete Now, I will introduce the foam concrete.Pre-formed(成型的)foam concrete is manufactured（加工）by adding foam, prepared by aerating（充气）a foaming agent solution, to cement paste or cement mortar（灰

浆）.The composition（合成物）, physical properties（性能）and uses of foam concrete were discussed in detail（详细的）by Valore, Short and Kinniburgh, Rudnai and Taylor.Although several investigations have been conducted on the properties of foam concrete, most of them deal with cement–sand mixes, neat cement paste with or without partial replacement（局部替换）using admixtures（掺合料）.Few studies report on the inﬂuence of ﬁller type on the properties of foam concrete.By using ﬂy ash（粉煤灰）as ﬁller(ﬁne aggregate细骨料)instead of sand, the high volume（体积）utilization（利用）of ﬂy ash becomes possible可能, thus providing a means of eco-nomic（经济）and safe disposal（处理）of this waste product.Comparison（比较）of strength of air-cured foam concrete made with cement-sand and cement–ﬂy ash for masonry（砌体结构）by Durack and Weiqing show that for products of comparable density（比较密度）, mixes with ﬂy ash as ﬁne aggregate in place of sand gave relatively higher strength.Section 2: Parameters(参数)investigated and mix compositions（组成成分）

So much for the foam concrete, now I will move on to Parameters(参数)investigated and mix compositions.As the experimental programme(实验程序)was aimed at studying the eﬀect of the ﬁllers on the properties like density（密度）, ﬂow behaviour（流动特性）, water absorption（吸水率）and strength of foam concrete, the following mixes

were investigated by keeping the basic ﬁller–cement ratio constant（恒定不变）at 1:1 by weight.The foam required for three densities（密度）of foam concrete viz.1000, 1250, 1500 kg/m3 were arrived at as per ASTMC 796-97.In the cement–sand–ﬂy ash mixes 50% of the sand is replaced with ﬂy ash and in the cement–ﬂy ash mixes all the sand is replaced with ﬂy ash.Section 3: Eﬀect of water–solids ratio（水砂比率）on design density That bring me to Eﬀect of water–solids ratio（水砂比率）on design density.I think this part is the most important in my presentation, I will explain in detail.As the foam is added to the wet foam concrete mix, the consistency（稠度）of the wet mix is very important to get the design density.Fig.2(a)and(b)show the variation of density ratio（密度变化率）(measured fresh density divided（分离）by design density)with water–solids ratio for mixes with diﬀerent ﬁller type for each of the design densities, viz., 1000 and 1500 kg/m3, respectively（分别地）.It is observed that at lower water–solids ratios, i.e., at lower consistency, the density ratio is higher than unity（个体）.The mix is too stiﬀ（严格地）to mix properly thus causing the bubbles（气泡）to break during mixing resulting in increased density.At higher water–solids ratios there is also an increase in density ratio as higher water contents make the slurry（泥浆）too thin to hold the bubbles resulting in segregation（分离）of the foam from the mix along with segregation of the mix itself thus causing

an increase in measured density.Therefore, as shown in Fig.2(a)and(b), a density ratio of unity or nearly unity is achieved only at a particular consistency.This consistency requirement for the mix before adding foam to it can be expressed in terms of water–solids ratio.It is also observed that the water–solids ratio required to obtain a density ratio value of one, depends on the ﬁller type.Section 4: Conclusion The conclusions drawn from this study and summarized below are applicable（合适的）to the characteristics of the materials（材料特性）used and the range of parameters（参数范围）investigated:(i)the consistency of pre-formed foam concrete mixtures(deﬁned as the water–solids ratio for achieving the target（目标）density)mainly depends on the ﬁller type, i.e., relatively higher for mixes with ﬂy ash as ﬁller compared to mixes with sand;(ii)the ﬂow behaviour mainly depends on the foam volume and as the foam volume increases the ﬂow decreases.For a given density, foam concrete with ﬂy ash as ﬁller showed relatively（相当的）higher ﬂow values;(iii)for a given density, an increase in ﬂy ash content of the mix results in increased strength.In comparison（比较）to cement–sand mixes, cement–ﬂy ash mixes showed relatively higher water absorption（吸收）.That’s all.Thank you!Are there any questions?

The picture on this slide is

So much for......, now I will move on to......This slide shows the calculation result

As we know, the target user usually has taken a list of courses rather than a course, so we need to extent our probability calculation formulars.For example, suppose T={a,b}, Pr[x﹁T] the probability x occurs without either an a or b preceding it;Pr[x﹁T] the probability x occurs without either an a or b following it.This probability can be calculated exactly.So how to calculate it?

That bring me to Recommendation Algorithms.I think this part is the most important in my presentation, I will explain in detail.In conclusion, we proposed a novel precedence mining model, developed

To sum up, first, I introduced the motivation and the outline of work;second, I gave the definition of precedence mining model;third, I described some new recommendation algorithms using precedence information;forth, I showed our experimental results to compare the new algorithms with traditional ones.Finally, I made a conclusion of our work..That’s all.Thank you!Are there any questions?

第四篇：英语模拟国际会议讲稿

英语模拟国际会议

主持人：王×会议出席人：朱××会议中提问者两人：董×、赵××休会中途与嘉宾交谈两人：张×、唐×× 会议结束提问者：余×、龚× 主持人王×：Ladies and Gentleman: May I have your attention please? Our conference will begin in a few minutes.All the presenters are requested to be seated.Let me introduce myself,i am wang yuan from SCNU,it’s a privilege for me to chair this session.Once the ceremony has started,you are refrained from taking pictures, using flashbulbs or leaving your seats.3Q.Distinguished guests, distinguished delegates, ladies and gentlemen, and all the friends:At this special time of wonderful June, in this grand hall of the beautiful city, our respectable guests are here getting together.Academic Seminars of CAS are organized by the Bureau of Personnel and Education of CAS, and held by the CAS research institutes.Now, first of all, please allow me to give our hearty welcome to all of you present, and thank you, for your friendly coming.We feel so proud, and appreciated as well to be the host of the event.For this conference, we are following the agenda here.The meeting is supposed to last for five days，it is the first congress which covers the true sense of psychological education、moral education,basic education and higher education, application education fields.And it to be separated into two parts, to begin with, we’ll invite some representatives from our guests to give lectures about their latest researches and reports on the issue, and then we will have some symposiums.And finally I wish you an unforgettable and prefect experience here.Firstl,i’d like to introduce our first presenter,Professor Jan.She is the author of “cooperation and competition”.for the past six years,JAN has been honored many awards--a Pulitzer Prize winner, a national Medal of the economy and a National book award and so on.Now, please join me in welcoming our guest speaker today---JAN.,whose topic is “cooperation can improve our competitive”.发言人朱××：

Good morning!Mr.Chairman, your excellencies , fellow colleagues ,Ladies and Gentlemen!Firstly, i would like to thank zhuxiaoli for her gracious introduction.I am very glad to have this opportunity of sharing with you our view on cooperation.My topic of today is“ cooperation can improve our competitive ”.As we all know, competition is a common phenomenon in our society.It occurs in almost every field of our life, such as playing games, doing our study, hunting for jobs.As I stand in here with other Participants ,it’s also a fierce competition.Working hard at something and competing against others can inspire us to push ourselves further than we otherwise might.In other words, competition is required to prompt us to excel and to help us reach our fullest potential.Last of all, competition is seen as an open and fair race where success goes to the swiftest person regardless of his or her social backgrounds.We can say, in this sense, competition stimulates people's interest in work and helps society to go forword.However, as the wave of globalization has come and the development of society, we face more competitions from the outside world.Are we going to face the challenge all by ourselves alone? The answer is clear,Human beings are social beings and no one can exist alone in the society.If you want to play the game well, you have to play with others.You cannot play single-handed and win.You’ll always have to cooperate with your partners, who may make the social ladder for you to climb to the top.From cooperation, you build up trust and understanding, which does good to your future.And also it’s said that we get together to do something larger than one single person, that is to say ,cooperation can turn a small business into a big and strong one.You see,after the cooperation with IBM.Lenovo could challenge the Dell computer company as the world NO.2 PC maker, BenQ and SIMENS mobile, Sony and Ericssons, the two groups of companies are collaborating together to win more market.Everyday, there are over 10 thousand companies annexed because of the crucial competition,but there are collaborating together in order to acquire more competitive ability.From a whole nation’s aspect, all the nations should take the national interest as a common goal.Take China and India for example.India, along with Japan, is a main rival of China in Asia.For the history’s sake, India and China have already competed with each other for a long period of time.With the globalization’s steps getting faster, both China and India realize the importance of cooperation.Now they have already started collaborating in the field of IT and mineral exploitation, and the two countries have benefited a lot.As American previous president Bill Clinton ever said:“There are no forever friends nor rivals, but interest.”So, if situation changes, competition also could turn into cooperation.To sum up, competition and cooperation prevail throughout the world.We should, however, take advantage of the competition as a chance to promote the cooperation and finally be the winner in the competition.we should seek cooperation boardly to improve our competitive.That’s of my speech..Thank you very much, ladies and gentlemen.主持人王×：3Q, Dr.Jan.I think all the participants present here this morning will agree with me that your presentation is very informative and enlightening.Now, do anybody have some questions？

提问1号赵××：（麻烦想个问题，关于竞争与合作的）提问2号：董×：（麻烦想个问题，关于竞争与合作的）主持人王×：上半段时间到了，请大家休息10分钟，10分钟后会议继续。

课间：提问三号张×和唐×一起去喝水，在打水的地方碰到发言者朱×，然后开始对话。。

张×：唐×：朱×：主持人王×：时间到了，大家安静就座。现在有请朱××给大家做一个总结。朱××：总结几句就可以主持人：还有什么问题吗？提问者3号龚×：（想个问题）提问者4号余×：

（想个问题）

第五篇：国际会议上的ppt怎么做（定稿）

国际会议上的ppt怎么做

之前发过一次相关的帖子资源，当时认为几个比较常见的好书，好资料版内很多兄

弟姐妹都有了呢，就只发了几个相对不太常见的，可是发现好像并不是这样，很多

资料都是大家反复发布，总还是有很多人初次见到。我想这可能是“小木虫”人气

越来越旺，总有不少新虫子加入把。

我平时就爱在版里到处搜索有关“英文科技论文”写作投稿相关的资料，电脑了下

载了不少，鉴于以上原因我想把自己看过的觉得好的都一次贴上来，省的大家到处

找，方便大家下载。大家手里已经有了的就不用下了，没有的就看看。

我把有关资料分成4部分：英文科技论文投稿；如何做国际会议报告；如何进行期刊

投稿；和怎么使用Endnote管理插入文献四部分来上传资源。

按照星级说明它的重要性英文科技论文投稿

a 流传最广的“strunk and white”著作的关于如何写科技论文的好书 elements

of style（中文译成“文体要素”），这个版内以及国外也是流传最广的。NO.1五

星级推荐

b 美国科学院院士White Side 写给自己课题组学生的关于如何写作论文的短文，很

短只有3页，但是一针见血。NO.1五星推荐

c Felicia Brittman写的中国研究生写英文文章最常范的200个错误总结，这个我自

己看了好多遍了，里面都是我们常犯的错误应该如何改正的。五星推荐

d 如何按照EI要求写作摘要，这个在各学校的EI中国链接里都有，但是不一定大家

都注意到了，其实这个摘要太重要了，一定要好好看看，仔细揣摩才行。五星推荐

e 美国印第安纳大学周耀旗教授主动迎合读者期望，预先回答专家可能质疑。

--美籍华人教授写的，大家很容易沟通，这是更深层次上对于高手的指点。五星推

荐

fNASA 的写英文科技论文的参考工具书--美国航空航天总署的一本关于如何写

作的教科书，说实话着我还没怎么看，三星推荐吧，如果哪位有时间看完了觉得好，上来给大家说一声。

g英文论文投稿前的经典28个细节检查；英文文章中标点符号的应用及注意事项。

--这两个之所以发上来是因为我一向觉得投稿时细节决定成败，对于标点，语法等

细节还有论文排版格式一定要尽量做到和你所投期刊完全一致（还有参考文献等），因为现在国内外期刊稿件都很多，不差你这一篇，你按照期刊要求好好写作是表

明你的态度问题。如果我是一个编辑每天处理那么多稿件，来了一个格式乱七八糟的让我很不爽我直接就扔到垃圾桶里了。

2国际会议报告

国际会议只参加过几次国内的所谓“国际会议”，国外的没去过，没有多少经验可

谈，但我想主要还是自己的东西新，英语上能说清楚就可以了。但PPT和一些口头报

告时的套路大家还是应该注意一下。

a如何做一个成功的国际会议口头报告How to make a succesful

presentations五星推荐

b国际学术会议的英语口语四星推荐

c国际会议报告ppt制作五星推荐期刊投稿

著名的Elsevier数据库期刊投稿指南

关于期刊投稿不同的数据库不同的期刊会有所不同，如果能网上投稿的都会有详细的要求，大家照着做就可以了。Endnote常见问题解答

Endnote是我用的一个文献管理工具，写大论文时比用的，不然上百个文献如果中间

添加一个没有endnote或者交叉引用什么的就完蛋了。类似的还有其他的软件。下面

这个是他的常见问题解答，已经译成中文了。

endnote常见问题解答--已经翻译为中文五星推荐。

[ Last edited by 赵岩hit on 2007-8-23 at 12:44 ]

elements of style1.pdf

 短文.pdf

 结.pdf

模拟国际会议PPT（全文5篇）

第一篇：模拟国际会议PPT

第二篇：模拟国际会议演讲稿

第三篇：模拟国际会议演讲稿

第四篇：英语模拟国际会议讲稿

第五篇：国际会议上的ppt怎么做（定稿）

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