第一篇：國際會議英語演講稿

下面請看參加國際會議的英文版演講稿

On the International Day of United Nations peacekeepers, we honour the sacrifices of the men and women who lost their lives while serving under the UN flag.This year's commemoration is a somber one.The past 14 months have been especially deadly for UN peacekeeping.Ambushes in Darfur...Terrorism in Kabul...And a plane crash in Haiti...These were among the tragedies that struck peacekeeping last year, killing 121 people.That toll was nearly matched in a few seconds with the devastating earthquake that struck Haiti last January.The United Nations Stabilization Mission in Haiti lost 96 peacekeepers--the biggest single loss of life in peacekeeping history.But that dark day also became one of our finest hours, as the men and women of MINUSTAH set aside their own trauma, got the mission quickly back on its feet, and helped the people of Haiti cope with the horrific aftermath.As we honour such moving displays of courage and dedication, we also pay tribute to the more than 122,000 military, police and civilian personnel who serve with distinction in our operations across the world.Their efforts directly help millions of people...By providing security and promoting reconciliation...By clearing land-mines and demobilizing combatants...By strengthening institutions and the rule of law...By delivering aid and repatriating refugees and displaced persons

By supporting democratic elections, reforming the security sector...and so much more.peacekeeping is an indispensable part of the UN’s work for a better world.Let us give it the support it needs to succeed.

第二篇：國際會議演講稿

Freeze–thaw cycle test and damage mechanics models of

alkali-activated slag concrete＇＇＇＇

Thank you for your invitation and warm hospitality.“Freeze–thaw cycle test and damage mechanics models of alkali-activated slag concrete” I would like to thank Professor Cui ,for inviting me to deliver this“Freeze-thaw cycle test and damage mechanics models of alkali-activated slag concrete”.Theplentiful studies on a new green binding material—alkali-activated concrete.The effect of freeze-thaw cycles on in concrete was studied by experiment.，I shall explore a possible agenda for analysis to enable understanding of the alkali-activated slag concrete.“new green binding material—alkali-activated cement”the introduction of Freeze–thaw cycle test and damage mechanics models of alkali-activated slag concrete.Now let's look at the ppt In recent years, there are plentiful studies on a new green binding material—alkali-activated cement, it can be prepared by wastes containing kaolinite(原文introduction第一句)The binding materials with three-dimensional network structure are yield by shrinking and polymerization reaction.With the arriving of low carbon economy time, international governments attach more importance to energy saving, emission reducing and cycled economics.(原文第二段)a genuine low carbon cement.（ppt第3頁）–I'd like to talk is the materialswe can see clear that the Slag used in this study was metallurgy blast furnace slag, was supplied by Jiangxi Building Materials Plant, PR China, its specific surface is 410 m2/kg.chemical compositions of slag are listed in.（ppt第4頁）

NaOH and Na2SiO3 sodium silicate multiplex solution was used as alkali activator, module of sodium silicate is 3.34.Sand with fineness modulus of 2.78 was used as fine aggregate.Limestone were used as crushed rock aggregate(5–20 mm:20–40 mm = 45:55).(引用原文Materials第二段結論)Mix proportion and specimen preparation ,.Mix proportion and specimen preparation.Mix proportion, workability and compressive strength at 28 d of ASC are listed in.It was prepared by a single decubital axis compellent beater with content of 60 L.the samples were demoulded and cured

under scheduled regimes.Thirty samples were tested for freeze–thaw cycle tests.Table 1.Mix proportion, workability and strength of ASC(引用原文第二部分第二小點)（ppt第5頁）The Freeze–thaw resistance was tested according to ASTM C666 and GB/T 50082-2009 “Standard for test methods of long-term performance and durability of ordinary concrete”.Six samples of each batch were tested, the average value of 6 samples was served as the finial freeze–thaw resistance.Mass and dynamic elasticity modulus were tested once after an interval of 25 times cycles, maximal cycle times(when relative dynamic elasticity modulus was 60% and percentage of mass loss was 5% at lowest)can denote freeze–thaw resistance of ASC.TDR-16V computer controlled concrete fast freeze–thaw cycle testing machine and DT-10W dynamic elasticity modulus testing machine were used to conduct the tests.(原文2.3 /ppt第6頁)

–thaw resistance mechanism of ASC 2.Freeze–thaw resistance durability of ASC(ppt 第7頁)

Results of fast freeze–thaw cycle tests of ASC are listed in Table 3.As can be seen:(1)With the increase of freeze–thaw cycle times, relative dynamic elasticity modulus of ASC are descending slowly, this shows excellent ductility, relative dynamic elasticity modulus of A1–A5 are all about 90% at 300 times cycle（ppt第8頁）(2)It is improper to set mass loss of ASC as the evaluation index of freeze–thaw destroy, because mass loss of A1–A5 vary indistinctively in the progress of freeze–thaw, it cannot reflect the destroy degree of concrete exactly, thus it is improper to use it to test and evaluate the freeze–thaw damage of ASC(which is shown in Fig.1).（ppt第9頁）

The first is ASC used industrial waste – slag as raw materials, and it had excellent freeze–thaw resistance with frost-resisting grade of F300 at lowest, relative dynamic elasticity modulus were about 90% after 300 times freeze–thaw cycles, it also had little mass loss, surface freeze–thaw damage layers were very thin, which can effectively restrain freeze–thaw damage of concrete from worsening.(ppt第10頁)The second is Different from freeze–thaw cycle damage models of PC, dynamic elasticity modulus attenuation models were superior to accumulative freeze–thaw damage models, and power function models were superior to exponential function models with better precision and relativity.（ppt第10頁）

Thank you very much for the privilege of presenting this paper

第三篇：國際會議英語作業

國際會議英語第一次作業

1.Top 5 international conferences in my major:

1).Financial Accounting & Reporting Update Conference

2).Risk & Return South Africa

3).Financial Accounting Reporting Update-Boston

4).Life Science Accounting Update Conference

5).accounting Update for Tech Companies

2.Call for papers:

HYATT SANTA CLARA Financial Accounting & Reporting Update Conference We are seeing an unprecedented level of major accounting changes from US and international standard-setters.This conference will address the latest developments in key areas.The format of pairing panelists from industry and public accounting is designed to give a fuller perspective.Learning Objectives: ?

?

? Understand the latest accounting changes in key areas Recognize the timelines and key factors Begin to assess the effects of these standards on your company or clients

Registration Information:

Cost $795 if you register by February 14(regular price is $995).We have a block of rooms available at the Hyatt at $219 per night and will email you the link after you register.Hyatt Santa Clara is 5 miles from San Jose airport and 35 miles from San Francisco Intl Airport.You can also register by phone, call(877)440-0227 or 610 789-3110

Agenda: DAY 1 8:00 8:45 Continental Breakfast and Registration 8:45 10:15 Revenue

Recognition Key provisions of new standard Considerations and illustrative examples for collectibility, contingent revenue, sales to distributors, performance obligations over time, elimination of VSOE for software transactions, use of residual approach, term licenses, time value of money, disclosure

implications 10:15 10:30 Break 10:30 12:00 Leases Estimated timing of key milestones and overview of joint project Significant provisions Anticipated market reaction by lessors and lessees Transformation and implementation considerations 12:00 1:00 Lunch 1:00 2:15 Industry Panel DiscussionIntroduction of Panelists, Companies and Critical Issues Moderator-led question Q&A session with group 2:15 2:25Break 2:25 3:45 Fraud Case studies and examples Key facts and statistics Detection, Prevention and Response FCPA: bribery and corruption 3:45 4:00 Break 4:00 5:15 Financial Reporting Roundup FASB Update: Recently completed standards: Other Comprehensive Income Goodwill Impairment Indefinite-Lived Intangibles Impairment Accounting for Financial instruments Project Update Agenda: DAY 2 8:30 10:00 Regulatory Update Financial Regulatory Reform: Dodd-Frank Act SEC Enforcement trends SEC Comment Letter Trends SEC Staff Review process: heightened demand for disclosures 10:00 10:15 Break 10:15 11:45 Business Combinations Scope of ASC 805 Recognizing and measuring assets acquired and liabilities assumed Income tax considerations Disclosure requirements 11:45 12:45 Lunch 12:45 2:00 Surviving SEC Scrutiny: SEC, Analysts & the

Media Weak Corporate Governance, Disclosures, Internal Controls Inconsistent Corp Communications, Inappropriate Non-GAAP Disclosures Weak Critical Accounting Policies, Accounting Divergences, Questionable Revenue Recognition, Questionable Cost/Expense Deferrals, Suspect allowances, Lengthy Asset Lives, Loss Contingency Disclosures...2:00 2:15 Break 2:15 3:30 SOX & Internal

Control Update Past issues and emerging trends New COSO Guidance Exploring restatements PCAOB Standards: what's new 3:30 4:30 Consolidations Evaluation “power to direct”

2.Analyze its specific information and requirements:

1).First, it is the conference about assessment, which talks about the

assessment of the effects of accounting standards on the company or clients.2).You can register by phone.3).It helps you to understand the latest accounting changes in key areas

第四篇：模擬國際會議演講稿

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 con?ned（被限于）to neat cement paste, cement paste with partial replacement with admixtures and to cement–sand mixes.Today, my topic is about In?uence of ?ller 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 E?ect 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（充氣）a foaming agent solution, to cement paste or cement mortar（灰

漿）.The composition（合成物）, physical properties（性能）and uses of foam concrete were discussed in detail（詳細的）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（局部替換）using admixtures（摻合料）.Few studies report on the in?uence of ?ller type on the properties of foam concrete.By using ?y ash（粉煤灰）as ?ller(?ne aggregate細骨料)instead of sand, the high volume（體積）utilization（利用）of ?y ash becomes possible可能, thus providing a means of eco-nomic（經濟）and safe disposal（處理）of this waste product.Comparison（比較）of strength of air-cured foam concrete made with cement-sand and cement–?y ash for masonry（砌體結構）by Durack and Weiqing show that for products of comparable density（比較密度）, mixes with ?y ash as ?ne aggregate in place of sand gave relatively higher strength.Section 2: Parameters(參數)investigated and mix compositions（組成成分）

So much for the foam concrete, now I will move on to Parameters(參數)investigated and mix compositions.As the experimental programme(實驗程序)was aimed at studying the e?ect of the ?llers on the properties like density（密度）, ?ow behaviour（流動特性）, water absorption（吸水率）and strength of foam concrete, the following mixes

were investigated by keeping the basic ?ller–cement ratio constant（恒定不變）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–?y ash mixes 50% of the sand is replaced with ?y ash and in the cement–?y ash mixes all the sand is replaced with ?y ash.Section 3: E?ect of water–solids ratio（水砂比率）on design density That bring me to E?ect 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（密度變化率）(measured fresh density divided（分離）by design density)with water–solids ratio for mixes with di?erent ?ller type for each of the design densities, viz., 1000 and 1500 kg/m3, respectively（分別地）.It is observed that at lower water–solids ratios, i.e., at lower consistency, the density ratio is higher than unity（個體）.The mix is too sti?（嚴格地）to mix properly thus causing the bubbles（氣泡）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（泥漿）too thin to hold the bubbles resulting in segregation（分離）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 ?ller type.Section 4: Conclusion The conclusions drawn from this study and summarized below are applicable（合適的）to the characteristics of the materials（材料特性）used and the range of parameters（參數范圍）investigated:(i)the consistency of pre-formed foam concrete mixtures(de?ned as the water–solids ratio for achieving the target（目標）density)mainly depends on the ?ller type, i.e., relatively higher for mixes with ?y ash as ?ller compared to mixes with sand;(ii)the ?ow behaviour mainly depends on the foam volume and as the foam volume increases the ?ow decreases.For a given density, foam concrete with ?y ash as ?ller showed relatively（相當的）higher ?ow values;(iii)for a given density, an increase in ?y ash content of the mix results in increased strength.In comparison（比較）to cement–sand mixes, cement–?y 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?

第五篇：模擬國際會議演講稿

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?