国际会议演讲稿

第一篇：国际会议演讲稿

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页）–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页）

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第二段结论)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点)（ppt第5页）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页)

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

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页）(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页）

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页)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页）

Thank you very much for the privilege of presenting this paper

第二篇：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?

第三篇：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?

第四篇：国际会议英语演讲稿

下面请看参加国际会议的英文版演讲稿

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.

第五篇：国际会议

国际会议：2012 2nd International Conference on Environment Science and Engineering

(ICESE 2012)Post By：2011-7-24 19:09:28 [只看该作者]

2012 2nd International Conference on Environment Science and Engineering

May.26, 2011 News!The ICESE 2011 papers are available in the Vol.8 of IPCBEE.(Click)

Mar.16, 2011 News!The conference program of ICESE 2011 is available now.(Click)

Welcome to the official website of the 2012 2nd International Conference on Environment Science and Ed during April 7-8 2012, in Bangkok, Thailand.ICESE 2012, aims to bring together researchers, scientists, ehe practical challenges encountered and the solutions adopted.change and share their experiences, new ideas, and research results about all aspects of Environment Scie

The conference will be held every year to make it an ideal platform for people to share views and expsensors and related areas.ICESE 2012 will be published in one Volume of IPCBEE, and all papers will be y Digital Library, and indexed by Thomson ISI(Web of Knowledge).Call for Papers

2012 2nd International Conference on Environment Science and Engineering, ICESE 2012 is the premier forum for esearch results in the fields of theoretical, experimental, and applied Environment Science and Engineering.The confereers, engineers and scientists in the domain of interest from around the world.Topics of interest for submission include,Environmental Science and Technology

Environmental dynamics

Meteorology

Hydrology

Geophysics

Atmospheric physics

Physical oceanography

Global environmental change and ecosystems management

Climate and climatic changes

Global warming

Ozone layer depletion

Carbon capture and storage

Biofuels

Integrated ecosystems management

Satellite applications in the environment

Environmental restoration and ecological engineering

Habitat reconstruction

Biodiversity conservation

Deforestation

Wetlands

Landscape degradation and restoration

Ground water remediation

Soil decontamination

Eco-technology

Bio-engineering

Environmental sustainability

Resource management

Life cycle analysis

Environmental systems approach

Renewable sources of energy-energy savings

Clean technologies

Sustainable cities

Health and the Environment

Health related organisms

Hazardous substances and detection techniques

Biodegradation of hazardous substances

Toxicity assessment and epidemiological studies

Quality guidelines, environmental regulation and monitoring

Indoor air pollution

Water resources and river basin management

Regulatory practice, water quality objectives standard setting, water quality classification Public participation

Economic instruments

Modeling and decision support tools

Institutional development

Transboundary cooperation

Management and regulation of point and diffuse pollution

Monitoring and analysis of environmental contaminant

Ground water management

Wastewater and sludge treatment

Nutrients removal

Suspended and fixed film biological processes

Anaerobic treatment

Process modelling

Sludge treatment and reuse

Fate of hazardous substances

Industrial wastewater treatment

Advances in biological, physical and chemical processes

On site and small scale systems

Storm-water management

Air pollution and control

Emission sources

Atmospheric modeling and numerical prediction

Interaction between pollutants

Control technologies

Air emission trading

Solid waste management

Waste minimization

Optimization of collection systems

Recycling and reuse

Waste valorization

Technical aspects of treatment and disposal methods(landfilling, thermal treatment etc)Leachate treatment

Legal, economic and managerial aspects of solid waste management

Management of hazardous solid waste

Water treatment and reclamation

Disinfection and disinfection by-products

Management of water treatment residuals

Aesthetic quality of drinking water(taste, odors)

Effect of distribution systems on potable water quality

Reuse of reclaimed waters

dexed by Thomson ISI(Web of Knowledge).Important Date Advanced treatment of water and secondary effluents(membranes, adsorption, ion exchange, oxidation etc)ICESE 2012 will be published in one Volume of IPCBEE, and all papers will be included in Engineering

Paper Submission(Full Paper)Before December 10, 2011 Notification of AcceptanceOn January 1, 2012 Final Paper SubmissionBefore January 15, 2012 Authors' RegistrationBefore January 15, 2012 ICESE 2012 Conference DatesApril 7-8, 2012

SUBMISSION METHODS:

1.Electronic Submission System;(.pdf)

If you can't login the submission system, please try to submit through method 2.2.Email: icese@cbees.org(.pdf and.doc)