Download e-book for kindle: Advances in Information Systems Science: Volume 7 by Takuo Kitamura, Shunji Tashiro, Masayuki Inagaki (auth.),

By Takuo Kitamura, Shunji Tashiro, Masayuki Inagaki (auth.), Julius T. Tou (eds.)

ISBN-10: 1461590566

ISBN-13: 9781461590569

ISBN-10: 1461590582

ISBN-13: 9781461590583

Information structures technological know-how is advancing in lots of instructions with fast strides. Many varied principles, methodologies, and methods were conceived and built for bettering the layout of data structures and for inventing new tools for fixing advanced info difficulties. This quantity, the 7th of a continuous sequence on info platforms technology, covers 5 well timed issues that are within the mainstream of present curiosity during this starting to be box. In every one bankruptcy, an test is made to famil­ iarize the reader with a few easy history details at the advances mentioned, in order that this quantity can be utilized independently or along with the former volumes. The emphasis during this quantity is established upon analysis for electronic structures, allotted details networks, micro­ desktop expertise, and information constructions for trend acceptance. in recent times, electronic platforms have came across frequent purposes in online real-time processing. Such functions call for excessive reliability, availability, and serviceability. Reliability might be superior by utilizing hugely trustworthy elements. development in integrity will be observed by way of retry operation and redundant configuration. Serviceability will be better via utilising fault analysis innovations. bankruptcy 1 is dedicated to this crucial topic. Fault prognosis ideas are built to enhance serviceability and to shorten suggest time for fix. Kitamura, Tashiro, and Inagaki speak about many fresh equipment for fault prognosis and clarify them with illustrative examples.

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Download e-book for kindle: Advances in Information Systems Science: Volume 7 by Takuo Kitamura, Shunji Tashiro, Masayuki Inagaki (auth.),

Details platforms technology is advancing in lots of instructions with fast strides. Many different principles, methodologies, and methods were conceived and built for making improvements to the layout of data platforms and for inventing new equipment for fixing advanced details difficulties. This quantity, the 7th of a continual sequence on details structures technology, covers 5 well timed issues that are within the mainstream of present curiosity during this turning out to be box.

Extra resources for Advances in Information Systems Science: Volume 7

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That is, vector It . 12 . 13 . 14 has 1 in entry t4 , but all entries become 0 if vector 15 is made a logical product with vector It . 12 . 13 . 14' Therefore, the logical product is carried out from It to h. Next, the same procedure is carried out from vector 15' The result of this procedure is shown in Table VI. From Table VI, six bits of test data, of either t1 or t2 and t 4 , t 5 , t 6 , t 7 , and t 8 , are necessary and those of either t1 or 12 and 13 are not necessary. This is not the complete optimization method, because the number of unnecessary test data sometimes differs, depending on the sequence of the logical product formation.

4. Symptoms should be edited as entries in the dictionary for diagnosis against an actually failed circuit. For that purpose, fault simulation results and symptoms are used. l\ table sho\ving entries by symptoms is called a fault dictionary. Diagnostic performances in fault diagnosis execution, that is, isolating the fault location, are expressed by 1. Diagnostic time 2. Diagnostic accuracy 3. Diagnostic resolution Diagnostic time is related to the size and type of fault dictionary, and diagnostic accuracy depends upon the extent to which unexpected logical faults are supported by a fault dictionary.

An outline of diagnostic execution by NEAC 2200 model 700 FLT is shown in Fig. 19. Diagnostic equipment independent from CPU is provided in NEAC 2200 model 700. Assume that a fault occurs in the CPU. The maintenance engineer disconnects this CPU from the normal system, sets the diagnostic data file to a predetermined MT unit, and starts the diagnostic equipment from a typewriter unit. Diagnostic execution flow is shown in Fig. 20. The diagnostic equipment stores diagnostic data, such as test data, correct symptoms, and fault dictionary in the memory.

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Advances in Information Systems Science: Volume 7 by Takuo Kitamura, Shunji Tashiro, Masayuki Inagaki (auth.), Julius T. Tou (eds.)


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