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length of the data unit This fact makes the cost in terms of bits relatively low when the units are long (d 8), although the circuitry becomes more complex In fact, it may be desirable to implement in hardware only the syndrome generation and the check for 0 value of the syndrome, and to call a software procedure for the error correction Other error-correcting codes, such as Bose-Chaudhuri and Fire codes, provide similar capabilities but are more advantageous for variable-length blocks, since they are cyclic and can correct errors occurring in a data stream rather than only by transformation of a complete block They also can be designed to cope better with burst-type, that is, dependent bit-errors A speci c form of a code can correct only up to a nite number of bits, and thus their usefulness is greatest when the prevalent error pattern is known On tape, for instance, the distance between tracks is much greater than the distance between bits along the tape An error spot will hence cause damage in a track rather than across tracks, and the codes used for tape take advantage of this fact The correction of the error by hardware will delay transmission by the length of the error-correcting cycle However, since a longer cycle uses relatively fewer check bits, an increase in net transmission rate will occur Advertised data-transmission rates generally include only the net information bits, so that the actual disk-tocontroller bit transfer occurs at a higher rate The di erence between the data and the real transfer rate can be great; the 6250-bpi tapes and mass-storage units described in Sec 2-1-1 have actual bit densities of approximately 9000 bpi Occasional but large bursts of errors found in communication lines make the use of error-correcting codes in data transmission less pro table Here detection and retransmit techniques are prevalent Files, however, are maintained on closely coupled devices with controllers which have the logical capability to generate error codes as well as to check and correct errors Error correction here permits a drastic increase in storage density 11-2-4 Batch Checking Where data are manually processed before submission to an input transaction or where additional software checking is desired, checksums or batch totals may be employed A checksum is the sum of all values in a critical column Checksums are typically computed before data entry and within the transaction, and these sums are compared This method is conceptually identical to parity checking, but since the result is a large number rather than a single bit, the error-detection probability is quite high For a large batch the added data quantity remains relatively low.

using using using using System; System.Collections.Generic; System.Linq; System.Text;

Sec 11-2

namespace Example_5_14_ _ _ _The_for_Loop { class Program { public static void Main( ) { for (int counter = 0; counter < 10; counter++) { Console.WriteLine("counter: {0} ", counter); } } } }

.

The output looks like this:

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The degree, also called arity, of a relation is the number of elds The cardinality of a relation instance is the number of tuples in it In Figure 31, the degree of the relation (the number of columns) is ve, and the cardinality of this instance is six A relational database is a collection of relations with distinct relation names The relational database schema is the collection of schemas for the relations in the database For example, in 1, we discussed a university database with relations called Students, Faculty, Courses, Rooms, Enrolled, Teaches, and Meets In An instance of a relational database is a collection of relation instances, one per relation schema in the database schema; of course, each relation instance must satisfy the domain constraints in its schema

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