Scanner Indir

A Scanner breaks its input into tokens using a delimiter pattern, which by default matches whitespace. The resulting tokens may then be converted into values of different types using the various next methods. For example, this code allows a user to read a number from System.in: Scanner sc = new Scanner(System.in); int i = sc.nextInt(); As another example, this code allows long types to be assigned from entries in a file myNumbers: Scanner sc = new Scanner(new File("myNumbers")); while (sc.hasNextLong()) { long aLong = sc.nextLong(); } The scanner can also use delimiters other than whitespace. This example reads several items in from a string: String input = "1 fish 2 fish red fish blue fish"; Scanner s = new Scanner(input).useDelimiter("\\s*fish\\s*"); System.out.println(s.nextInt()); System.out.println(s.nextInt()); System.out.println(s.next()); System.out.println(s.next()); s.close(); prints the following output: 1 2 red blue The same output can be generated with this code, which uses a regular expression to parse all four tokens at once: String input = "1 fish 2 fish red fish blue fish"; Scanner s = new Scanner(input); s.findInLine("(\\d+) fish (\\d+) fish (\\w+) fish (\\w+)"); MatchResult result = s.match(); for (int i=1; i

The scanner can also use delimiters other than whitespace. This example reads several items in from a string: Copy String input = "1 fish 2 fish red fish blue fish"; Scanner s = new Scanner(input).useDelimiter("\\s*fish\\s*"); System.out.println(s.nextInt()); System.out.println(s.nextInt()); System.out.println(s.next()); System.out.println(s.next()); s.close();

Scanner Indir

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The default whitespace delimiter used by a scanner is as recognized by Character.isWhitespace(). The reset() method will reset the value of the scanner's delimiter to the default whitespace delimiter regardless of whether it was previously changed.

A scanner can read text from any object which implements the Readable interface. If an invocation of the underlying readable's read() method throws an IOException then the scanner assumes that the end of the input has been reached. The most recent IOException thrown by the underlying readable can be retrieved via the ioException() method.

A scanner will default to interpreting numbers as decimal unless a different radix has been set by using the useRadix(int) method. The reset() method will reset the value of the scanner's radix to 10 regardless of whether it was previously changed.

An instance of this class is capable of scanning numbers in the standard formats as well as in the formats of the scanner's locale. A scanner's initial locale is the value returned by the Locale.getDefault(Locale.Category.FORMAT) method; it may be changed via the useLocale() method. The reset() method will reset the value of the scanner's locale to the initial locale regardless of whether it was previously changed.

If this scanner has not yet been closed then if its underlying readable also implements the Closeable interface then the readable's close method will be invoked. If this scanner is already closed then invoking this method will have no effect.

This method searches through the input up to the specified search horizon, ignoring delimiters. If the pattern is found the scanner advances past the input that matched and returns the string that matched the pattern. If no such pattern is detected then the null is returned and the scanner's position remains unchanged. This method may block waiting for input that matches the pattern.

A scanner will never search more than horizon code points beyond its current position. Note that a match may be clipped by the horizon; that is, an arbitrary match result may have been different if the horizon had been larger. The scanner treats the horizon as a transparent, non-anchoring bound (see Matcher.useTransparentBounds(boolean) and Matcher.useAnchoringBounds(boolean)).

Since this method seeks to match the specified pattern starting at the scanner's current position, patterns that can match a lot of input (".*", for example) may cause the scanner to buffer a large amount of input.

An invocation of this method of the form scanner.reset() behaves in exactly the same way as the invocation scanner.useDelimiter("\\p{javaWhitespace}+") .useLocale(Locale.getDefault(Locale.Category.FORMAT)) .useRadix(10);

Scanning starts upon initiation of the terminal stream operation, using the current state of this scanner. Subsequent calls to any methods on this scanner other than close() and ioException() may return undefined results or may cause undefined effects on the returned stream. The returned stream's source Spliterator is fail-fast and will, on a best-effort basis, throw a ConcurrentModificationException if any such calls are detected during stream pipeline execution.

If this scanner contains a resource that must be released, this scanner should be closed, either by calling its close() method, or by closing the returned stream. Closing the stream will close the underlying scanner. IllegalStateException is thrown if the scanner has been closed when this method is called, or if this scanner is closed during stream pipeline execution.

MIRACO can do almost the same things as the MINI, POP Series, and RANGE 3D scanners. However, the MINI is slightly better at capturing fine details than MIRACO as its fused point distance is up to 0.02mm while MIRACO's is up to 0.05mm. And the RANGE and POP series are compact, lighter, cheaper, and still great 3D scanning solutions if you only need to scan one particular object size.

The MIRACO is unsuitable for scanning objects smaller than its minimum scan volume of 10mm x 10mm x 10mm. And similar to most 3D scanners, it may have difficulty with highly reflective or transparent objects. This can be overcome using a 3D scanning spray to coat the object's surface, which can help achieve effective scanning results.

This structured-light 3D scanner is the ideal choice for making quick, textured, and accurate 3D models of medium-sized objects such as a human bust, an alloy wheel, or a motorcycle exhaust system. It scans quickly, capturing precise measurements in high resolution.

Light, fast, and versatile, Eva is our most popular scanner and a market leader in handheld 3D scanners. Based on safe-to-use structured-light scanning technology, it is an excellent all-around solution for capturing objects of almost any kind, including objects with black and shiny surfaces.

Link up the 0.85 kg 3D scanner to a tablet and the Artec battery pack, which provides up to 6 hours of power, and you can scan practically anywhere, even in areas where there is no source of electricity.

For capturing larger 3D objects or for creating an automatic scanning system, several scanners can be bundled and synced together. You can also integrate the scanners into your own customized solutions using the free of charge Artec Scanning SDK.

HD is a scanning mode powered by artificial intelligence algorithms that allows you to create sharper, cleaner, and far more detailed 3D models with a resolution 2X higher than the original SD data. In HD Mode, a resolution of up to 0.2 mm can be achieved, and your Eva can capture much smaller and thinner elements, hard-to-reach areas, black and shiny surfaces and other parts that were difficult or impossible to capture before. HD Mode is available for Leo and Eva scanners running Artec Studio 15.1 or higher.

Visit here for more information about HD Mode.

Kodak Alaris has several integration options for our scanners.

We have traditional thick client integration options with our TWAIN and ISIS and WIA drivers as well as an easy to use Scanner SDK.

We also have a state of the art RESTful Web API for integration to our network enabled scanners from any platform without installing host drivers.

Kodak Alaris is a leading provider of information capture solutions that simplify business processes. We exist to help the world make sense of information with smart, connected solutions powered by decades of image science innovation. Our award-winning range of scanners, software and services are available worldwide, and through our network of channel partners.

This report examines commercial scanner data, from the market research firm IRI, for use in food economics research (report authored by Mary K. Muth, Megan Sweitzer, Derick Brown, Kristen Capogrossi, Shawn A. Karns, David Levin, Abigail Okrent, Peter Siegel, and Chen Zhen). The report examines the methodology, characteristics, and statistical properties of the data sets. The report also provides an introduction to the data for new users and important considerations for advanced users (April 2016).

This report looks at proprietary retail scanner data (InfoScan) that are used to examine food policy questions (report authored by David Levin, Danton Noriega, Chris Dicken, Abigail Okrent, Matt Harding, and Michael Lovenheim). To determine how representative the data are, this report compares the number of stores and sales where revenue is reported in the InfoScan data with the same information from other datasets (October 2018).

This report compares proprietary household scanner data to nationally representative Government survey data and finds that reported household food-at-home expenditures in commercial scanner data were lower than in two Government surveys (report authored by Megan Sweitzer, Derick Brown, Shawn A. Karns, Mary K. Muth, Peter Siegel, and Chen Zhen). The report details the comparison methodology and describes implications for using the commercial data in food economics research (September 2017). ff782bc1db