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The transformation of a nested relation into a form with fewer (or no) relation-valued attributes is called unnesting The books relation has two attributes, author-array and keyword-set, that are collections, and two attributes, title and publisher, that are not Suppose that we want to convert the relation into a single at relation, with no nested relations or structured types as attributes We can use the following query to carry out the task: select title, A as author, publishername as pub-name, publisherbranch as pub-branch, K as keyword from books as B, unnest(Bauthor-array) as A, unnest (Bkeyword-set) as K The variable B in the from clause is declared to range over books The variable A is declared to range over the authors in author-array for the book B, and K is declared to range over the keywords in the keyword-set of the book B Figure 91 (in Section 91) shows an instance books relation, and Figure 92 shows the 1NF relation that is the result of the preceding query The reverse process of transforming a 1NF relation into a nested relation is called nesting Nesting can be carried out by an extension of grouping in SQL In the normal use of grouping in SQL, a temporary multiset relation is (logically) created for each group, and an aggregate function is applied on the temporary relation By returning the multiset instead of applying the aggregate function, we can create a nested relation Suppose that we are given a 1NF relation at-books, as in Figure 92 The following query nests the relation on the attribute keyword: select title, author, Publisher(pub-name, pub-branch) as publisher, set(keyword) as keyword-set from at-books groupby title, author, publisher The result of the query on the books relation from Figure 92 appears in Figure 94 If we want to nest the author attribute as well, and thereby to convert the 1NF table.



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24 Jul 2018 ... jsPDF is a nice library to convert HTML content into PDF. We can put the different type of elements in PDF from HTML like an icon, images , text, ...

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The Citrix Password Manager Service is a new enhancement to Citrix Password Manager s architecture The Citrix Password Manager Service runs on a web server that provides the foundation for optional features included in this release Install the Citrix Password Manager Service if at least one of the following modules is being implemented:

The McGraw Hill Companies, 2001





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from the test equipment specifications; it often depends on the specifications of test equipment being used at more than one stage in the manufacturing process The curve in the diagram indicates the proportion of mobiles tested with measured performance falling at any given value The curve forms a probability distribution It s often possible to approximate this to a normal distribution and predict yield from a relatively small sample of units The yield is the proportion of units with performance within the manufacturing test limit If the yield is unacceptably low, either the manufacturing limit has to be moved by using better test equipment with lower measurement uncertainties, or the distribution of the product s performance has to be improved This can be achieved by improving the product s design, or by increasing the amount of adjustment and calibration to improve performance Most mobile phones have their output power adjusted to meet specification (Refer to Figure 186, an example from GSM) The mobile output power before adjustment might look like the upper rounded trace The unadjusted mobile falls well outside the acceptable 3 dB limits At each adjustment frequency, the output power is measured during final test, and correction coefficients are stored in EEPROM The mobile firmware then uses the stored coefficients to interpolate between adjustment points At the adjustment points, the output power clearly will be very close to the correct nominal value, the only error coming from the repeatability of the mobile and the accuracy of the test equipment being used to make the adjustment The performance will be closest to breaking outside the acceptable limits between adjustment points When the performance of the mobile is being verified (during the second phase of the final test process), measurement points between adjustment points are chosen, making it more likely that the worst parts of the mobile s power performance will be exposed.

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Figure 186 Mobile phone power calibration The upper dotted-line curve shows the mobile s output power performance on the Y axis, versus frequency channel along the X axis It is clearly outside the 3 dB specification permitted in GSM The solid curve trace shows the calibrated power performance curve Notice that the verification frequencies (shown by solid arrows) are placed in between the adjustment frequencies (shown by dotted arrows) This is because the frequencies most likely to fail the specification are those furthest from the adjustment frequencies The adjustment frequency measurements will be stored in the mobile s EEPROM to be used as a lookup table for output power

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publisher (pub-name, pub-branch) (McGraw-Hill, New York) (McGraw-Hill, New York) (Oxford, London) (Oxford, London)

Downloaded from Digital Engineering Library @ McGraw-Hill (wwwdigitalengineeringlibrarycom) Copyright 2004 The McGraw-Hill Companies All rights reserved Any use is subject to the Terms of Use as given at the website

keyword-set {parsing, analysis} {parsing, analysis} {Internet, Web} {Internet, Web}

Self-Service Password Reset Enables users to reset their passwords by answering a set of questions based on personal information Data Integrity This feature protects data from being compromised while in transit from the central store to the agent The service signs the data in the central store The agent downloads a public key, so it can read and verify data from the central store Automatic Key Recovery Lets users log on to the network and have immediate access to applications managed by Citrix Password Manager This feature eliminates the need for users to provide identity verification upon a password change

example illustrates how measurement uncertainties from several instruments have to be taken into account when setting final test pass/fail limits Item (1) is the potential error introduced by the initial adjustment of the power level Item (2) shows how errors from sequential measurement instruments may be combined Item (3) is the final test pass/fail limit: the room temperature spec minus the sum of sample QA error and final test error Finally, item (4) shows permitted mobile performance spread: pass/fail limit less initial adjustment error Refer to the text for a full explanation

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addImage documentation · Issue #434 · MrRio/ jsPDF · GitHub
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