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● Document outputs are produced on （71） , devices that produce text or images on paper.
（71）
A. display and keyboard
B. mouse and keyboard
C. scanners and plotters
D. printers and plotters
参考答案
更多 “ ● Document outputs are produced on （71） , devices that produce text or images on paper.（71）A. display and keyboardB. mouse and keyboardC. scanners and plottersD. printers and plotters ” 相关考题
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● (71) is an output device displaying the result on paper.(71)A.PrinterB. MouseC. DisplayD. Disk
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Document outputs are produced on(75) , devices that produce text or images on paper.A．mouse and keyboardB．scanners and plottersC．display and scannersD．printers and plotters
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● Software （71） refers to that the software to meet the specification must be produced.（71）A. testB. supportC. developmentD. process
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SOX is an alternative (71) for XML. It is useful for reading and creating XML content in a (72) editor. It is then easily transformed into proper XML. SOX was created because developers can spend a great deal of time with raw XML. For many of us, the popular XML (73) have not reached a point where their tree views, tables and forms can completely substitute for the underlying (74) language. This is not surprising when one considers that developers still use a text view, albeit enhanced, for editing other languages such as Java. SOX uses (75) to represent the structure of an XML document, which eliminates the need for closing tags and a number of quoting devices. The result is surprisingly clear.A．syntaxB．grammarC．semanticD．pragmatics
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●(71) has many elements: text, audio sound，static graphics images, animations, and full-motion video.(71) A. MultimediaB. DatabaseC. FileD. Document
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Multipurpose Internet Mail Extension(MIME)is a(71)document messaging standard in the Internet enviroment, with MIME, users can send(72)Email messages that include audio, video, graphices, and text to any other user of a TCP/IP network. Richtext information can also be(73)into messages. It defines the fonts, formats, and(74)features of a document so the document can be easily(75)on many different types of systems.A．completeB．compoundC．simpleD．efficient
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Multipurpose Internet Mail Extension (MIME) is a (71) document messaging standard in theInternet enviroment.With MIME，users can send (72) Email messages that include audio，video，graphices，and text to any other user of TC/IP network.Richtext information can also be (73) into messages.It defines the fonts，formats，and (74) features of a document sothe document can be easily (75) on many different types of systems.(75)A．completeB．compoundC．simpleD．efficient
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（71)has many elements: text, audio sound, static graphics images, animations, and full-motion video.A．MultimediaB．DatabaseC．FileD．Document
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Document outputs are produced on(71), devices that produce text or images on paper.A．display and keyboardB．mouse and keyboardC．scanners and plottersD．printers and plotters
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______ processing offers many ways to edit text and establish document formats．you can easily insert, delete, change, move and copy words or blocks of text.A．DataB．DatabaseC．WordD．File
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Ink-jet printer belongs to nonimpact printers in which the characters are formed by projecting particles or droplets of ink on to paper.(71) printer is also a nonimpact printer in which the characters are produced by applying hot elements to heat-sensitive paper directly or by melting ink from a(72) on to plain paper. Electrostatic printer creates an electrostatic latent image, which is then made visible by a toner and transferred and fixed on paper. An electrostatic printer may be used in some instances as a(73). Laser printer creates, by means of a laser beam directed on a(74) surface, a latent image which is then made visible by a toner and transferred and fixed on paper. Magnetographic printer creates, by means of magnetic heads operating on a metallic drum, a latent image which is then made visible by a toner and transferred and fixed on paper. Computer-output-microfilm (COM) printer produces on a photographic film a(75) of each page.A．HotB．WarmC．HeatD．Thermal
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（ ）accepts documents consisting of text and/or images and converts them to machine-readable form.A. A printerB. A scannerC. A mouseD. A keyboard
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One of the difficulties in building an SQL,like query language for the Web is the absence of a database(71) for this huge, heterogeneous repository of information. However, if we are interested in HTML documents only, we can construct a virtual schema from the implicit structure of these files. Thus, at the highest level of(72) , every such document is identified by its Uniform. Resource Locator(URL), has a(73) and a text. Also, Web servers provide some additional information such as the type, length, and the last modification date of a document. So, for data mining purposes, we can consider the set of all HTML documents as a relation:Document(url, title, text, type, length, modif)Where all the(74) are character strings. In this framework, an individual document is identified with a(75) in this relation. Of course, if some optional information is missing from the HTML document, the associate fields will be left blank, but this is not uncommon in any database.A．schemaB．platformC．moduleD．relation
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● (71) has many elements: text, audio sound, static graphics images, animations, and full-motion video.(71) A．MultimediaB． DatabaseC． FileD． Document
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First Image-recognition Software1. Dartmouth researchers and their colleagues have created an artificial intelligence software that uses photos to locate documents on the Internet with far greater accuracy than ever before.2. The new system,which was tested on photos and is now being applied to videos,shows for the first time that a machine learning algorithm（运算法则）for image recognition and retrieval is ac-curate and efficient enough to improve large-scale document searches online.The system uses pix- el（像素）data in images and potentially video—rather than just text-to locate documents. It learns to recognize the pixels associated with a search phrase by studying the results from text-based image search engines. The knowledge gleaned（收集)from those results can then be ap-plied to other photos without tags or captions（图片说明）,making for more accurate document search results.3 .“Over the last 30 years,”says Associate Professor Lorenzo Torresani,a co-author of the stud-“the Web has evolved from a small collection of mostly text documents to a modern,massive, fast-growing multimedia data set,where nearly every page includes multiple pictures or videos. When a person looks at a Web page, he immediately gets the gist（主旨）of it by looking at the pictures in it.Yet,surprisingly,all existing popular search engines,such as Google or Bing, strip away the information contained in the photos and use exclusively the text of Web pages to perform the document retrieval. Our study is the first to show that modern machine vision systems are accurate and efficient enough to make effective use of the information contained in image pix-els to improve document search.”The researchers designed and tested a machine vision system—a type of artificial intelligence that allows computers to learn without being explicitly programmed—that extracts semantic（语义的）information from the pixels of photos in Web pages. This information is used to enrich the description of the HTML page used by search engines for document retrieval.The researchers tested their approach using more than 600 search queries（查询）on a database of 50 million Web pa-ges.They selected the text-retrieval search engine with the best performance and modified it to make use of the additional semantic information extracted by their method from the pictures of the Web pages .They found that this produced a 30 percent improvement in precision over the original search engine purely based on text.A:using photosB: description of the HTML pageC: current popular search enginesD: document searchE: information in imagesF: machine vision systems
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共用题干
First Image-recognition Software1. Dartmouth researchers and their colleagues have created an artificial intelligence software that uses photos to locate documents on the Internet with far greater accuracy than ever before.2. The new system,which was tested on photos and is now being applied to videos,shows for the first time that a machine learning algorithm（运算法则）for image recognition and retrieval is ac-curate and efficient enough to improve large-scale document searches online.The system uses pix- el（像素）data in images and potentially video—rather than just text-to locate documents. It learns to recognize the pixels associated with a search phrase by studying the results from text-based image search engines. The knowledge gleaned（收集)from those results can then be ap-plied to other photos without tags or captions（图片说明）,making for more accurate document search results.3 .“Over the last 30 years,”says Associate Professor Lorenzo Torresani,a co-author of the stud-“the Web has evolved from a small collection of mostly text documents to a modern,massive, fast-growing multimedia data set,where nearly every page includes multiple pictures or videos. When a person looks at a Web page, he immediately gets the gist（主旨）of it by looking at the pictures in it.Yet,surprisingly,all existing popular search engines,such as Google or Bing, strip away the information contained in the photos and use exclusively the text of Web pages to perform the document retrieval. Our study is the first to show that modern machine vision systems are accurate and efficient enough to make effective use of the information contained in image pix-els to improve document search.”The researchers designed and tested a machine vision system—a type of artificial intelligence that allows computers to learn without being explicitly programmed—that extracts semantic（语义的）information from the pixels of photos in Web pages. This information is used to enrich the description of the HTML page used by search engines for document retrieval.The researchers tested their approach using more than 600 search queries（查询）on a database of 50 million Web pa-ges.They selected the text-retrieval search engine with the best performance and modified it to make use of the additional semantic information extracted by their method from the pictures of the Web pages .They found that this produced a 30 percent improvement in precision over the original search engine purely based on text.The new system was found more effective in document search than the_______.A:using photosB: description of the HTML pageC: current popular search enginesD: document searchE: information in imagesF: machine vision systems
考题
（71）accepts documents consisting of text and/or images and converts them to machine-readable form.
A .A printer
B .A scanner
C .A mouse
D .A keyboard
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______has many elements:text,audio sound,static graphics images,animations,and video.A.Multimedia
B.Database
C.File
D.Document
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______ has many elements: text, audio sound, static graphics images, animations, and video.
A.Multimedia]
B.DatabasE.C.File]
D.Document
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This equipment can produce vivid images of the organs of the patient for doctors to anaiyze.A:dim
B:blurry
C:beautiful
D:graphic
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This equipment can produce vivid images of the organs of the patient for doctors to analyze.A:dim
B:blurry
C:beautiful
D:graphic
考题
共用题干
First Image-recognition Software1. Dartmouth researchers and their colleagues have created an artificial intelligence software that uses photos to locate documents on the Internet with far greater accuracy than ever before.2. The new system,which was tested on photos and is now being applied to videos,shows for the first time that a machine learning algorithm（运算法则）for image recognition and retrieval is accurate and efficient enough to improve large-scale document searches online. The system uses pixel（像素）data in images and potentially video-rather than just text-to locate documents. It learns to recognize the pixels associated with a search phrase by studying the results from text-based image search en-gines. The knowledge gleaned（收集）from those results can then be applied to other photos without tags or captions（图片说明）,making for more accurate document search results.3. "Over the last 30 years,"says Associate Professor Lorenzo Torresani,a co-author of the stud-y,"the Web has evolved from a small collection of mostly text documents to a modern,massive, fast-growing multimedia data set,where nearly every page includes multiple pictures or videos. When a person looks at a Web page, he immediately gets the gist（主旨）of it by looking at the pictures in it.Yet,surprisingly,all existing popular search engines,such as Google or Bing, strip away the information contained in the photos and use exclusively the text of Web pages to perform the document retrieval. Our study is the first to show that modern machine vision systems are accurate and efficient enough to make effective use of the information contained in image pix- els to improve document search."4. The researchers designed and tested a machine vision system-a type of artificial intelligence that allows computers to learn without being explicitly programmed-that extracts semantic（语义的）information from the pixels of photos in Web pages. This information is used to enrich the description of the HTML page used by search engines for document retrieval.The researchers test-ed their approach using more than 600 search queries（查询）on a database of 50 million Web pages. They selected the text-retrieval search engine with the best performance and modified it to make use of the additional semantic information extracted by their method from the pictures of the Web pages.They found that this produced a 30 percent improvement in precision over the original search engine purely based on text. When performing document retrieval the existing search engines ignore______.A: using photosB: description of the HTML pageC: current popular search enginesD: document searchE: information in imagesF: machine vision systems
考题
ProtelDXP可以直接创建和打开（）文件。A、PCBB、PCB LibraryC、PCB ProjectD、Text Document
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