2012年3月17日雅思考试回忆

Section1 关于艺术馆的。题型为：10个填空；Section2 关于一个野生动物志愿者的。题型：单选、人名搭配；Section 3 学术讨论调查问卷。题型：单选、填空；Section4 关于医院，题型：全部是填空。 
　　请大家注意下7，8里面的配对题训练，加强对题目分析和对话中对原题的改写或者改换说法的适应训练。 
　　Section 1 
　　1．Tythe 
　　2．fashion 
　　3．January 1st 
　　4．Top floor 
　　5．￡150 
　　6．phone 
　　7．photo 
　　8．café 
　　9．3 months 
　　10．station 
　　Section2 
　　1-4 选择 
　　1．Introduce to the wild life． 
　　2．medical test 
　　3．accommodation 
　　4．climate， 
　　5-10 配对题 
　　5．make friend, 
　　6．wild animal 
　　7．career prospect 
　　8．Culture 
　　Section 3 
　　前面三道选择 
　　1．A 
　　2． 
　　3． 
　　4．experiment 
　　5．social 
　　6．teacher 
　　7．noise 
　　8．skills 
　　9．monitor 
　　10．in (gradual) way 
　　Section 4 
　　1．transport service 
　　2．information 
　　3．clean 
　　4．visitors 
　　5．Local doctors and staff 
　　6．bonus 
　　7．effectiveness( communication) 
　　8．space 
　　9．equipment 
　　10．planning 

　第一篇是讲人脸的记忆和侗?
　　题型：段落matching/T/F/NG 
　　机经原文2009年1月15日考过 
　　话题文章 
　　Some facial recognition algorithms identify faces by extracting landmarks, or features, from an image of the subject's face. For example, an algorithm may analyze the relative position, size, and/or shape of the eyes, nose, cheekbones, and jaw. These features are then used to search for other images with matching features. Other algorithms normalize a gallery of face images and then compress the face data, only saving the data in the image that is useful for face detection. A probe image is then compared with the face data. One of the earliest, successful systems is based on template matching techniques applied to a set of salient facial features, providing a sort of compressed face representation. 
　　3-D 
　　A newly emerging trend, claimed to achieve previously unseen accuracies, is three-dimensional face recognition. This technique uses 3-D sensors to capture information about the shape of a face. This information is then used to identify distinctive features on the surface of a face, such as the contour of the eye sockets, nose, and chin. 
　　One advantage of 3-D facial recognition is that it is not affected by changes in lighting like other techniques. It can also identify a face from a range of viewing angles, including a profile view. 
　　Skin texture analysis 
　　Another emerging trend uses the visual details of the skin, as captured in standard digital or scanned images. This technique, called skin texture analysis, turns the unique lines, patterns, and spots apparent in a person’s skin into a mathematical space. 
　　Tests have shown that with the addition of skin texture analysis, performance in recognizing faces can increase 20 to 25 percent. 
　　第二篇是讲节能的房子(
　　可以降温包括房子的材料以及与过去的房子的对比) 
　　题型：段落matching 人名理论matching/T/F/NG 
　　第三篇讲的PLA植物提取
　　运用农作物做塑料以及HLC，貌似是聚乙烯的合成以及应用。可以运用于食品包装，还有环保等特性 
　　题型：特征matching 填图题 选择

Part 1 
　　Work 
　　Are you a student or do you work? 
　　Do you like your job? 
　　What's the most difficult part in your job? 
　　Do you want to change your job? 
　　Accommodation 
　　Do you live in a house or a flat? 
　　Which part of it is your favorite? 
　　Would you like to make any change to it? 
　　Do you enjoy living in a house or a flat? 
　　What is your dream house like? 
　　Collection 
　　Do you like collecting? 
　　What do you collect in your free time? 
　　What did you like to collect in your childhood? 
　　What would you like to collect if you had a lot of money? 
　　Dancing 
　　Do you enjoy dancing? 
　　Did you enjoy dancing when you were a child? 
　　Do you like watching people dance? 
　　Do you know how to dance? 
　　TV programs 
　　Do you like watching TV? 
　　Do you prefer to watch TV alone or with others? 
　　What’s your favorite type of TV program? 
　　Do children in China watch too much TV? 
　　Did you enjoy watching TV in your childhood? 
　　Email and letter 
　　Which do you prefer, email or letter? 
　　How often do you write an email? 
　　Do you write letters? 
　　How do you think about writing letters and emails? What’s the difference between them? 
　　What kind of email is the most difficult to write? 
　　Walk 
　　Do you enjoy walking? 
　　Do people do much walking in your country? 
　　Do you think walking is a good way to exercise?