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Several dif culties as well as other important issues were debated regarding type approval testing One dif culty was that tests of a quite different nature were required The veri cation of the radio characteristics on one side was mostly a matter of hardware, while on the other side the tests of the signalling protocols were essentially a matter of software In GSM phase 1 it was attempted to use a unique system simulator for all tests This was a challenge in a way that the expertise on radio hardware and signalling protocol was in general located in different companies Therefore for GSM phase 2 it was decided to use several machines One issue was the depth of testing.

Otherwise the decision tree is simplified and in the worst case simply predicts the majority class, which is, of course, that no fault occurs One may try to mitigate this problem by enriching the database to learn from with examples of faulty behavior However, this distorts the frequency information, making the results difficult to interpret, but nevertheless cannot completely remove the problem Secondly, the distributions learned in a Bayesian network are symmetric wrt to the different parent attributes..

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The appropriate depth of testing for type approval is a matter of judgement as it is known that no nite set of tests can guarantee the full conformance of the implementation of a complex protocol Operators were in favour of a large number of tests as they expected that it would save them future trouble in the operation of their networks Manufacturers were not far from the same position as they were afraid to have to recall later large quantities of mobile stations needing a software correction But regulators were just interested in the veri cation of essential requirements , such as user safety, electromagnetic compatibility, effective use of the spectrum, etc This was the subject of endless discussions leading to thinking that in the future it would be necessary to create an industry certi cation complementing the regulatory type approval.

Since a graphical model is usually evaluated w.r.t. a database of sample cases, we assume that we are given a database D = (R, wR ) as defined in Definition 5.1.5 on page 141 and that the values needed to compute the chosen evaluation measure are determined from this database. As already indicated above, we will state all local evaluation measures w.r.t. two attributes C and A, with the attribute C taking the place of the child, if a directed edge is to be evaluated, and attribute A taking the place

Another issue concerned the extent to which the development of the test speci cation should be based on the use of the Tree and Tabular Combined Notation (TTCN) test description language TTCN had been developed in ETSI with the support of the CEC and its use was.

#include <ppf/util/python/detail/decref.hpp> #include <boost/python/errors.hpp> #include <boost/shared ptr.hpp> #include <boost/bind.hpp> namespace ppf { namespace util { namespace python { namespace detail { template <int = 0>

If you are someone who prefers to cut out the middleman, you can bypass utilities that read /proc files and read (and sometimes even write to) /proc files directly. By checking /proc, you can find out the state of processes, hardware devices, kernel subsystems, and other attributes of Linux.

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Real Power and Reactive Power Demand All electrical machinery and appliances have resistive and reactive elements Take, for example, a vacuum cleaner The resistance leading to real power is rather intuitive It is not surprising that energy is lost in rotating the brushes that sweep the oor After all, there is a lot of friction between the carpet and these brushes and there is a lot of movement of air and dirt particles The friction and movement of air and dirt consume electrical energy, creating the demand for real power There is also inductance in the vacuum cleaner The vacuum cleaner contains an electric motor with coils The coils act as an inductor; the AC current creates a uctuating magnetic eld within the coils that alternately stores and releases energy The simultaneous demand of power consumers leads to an aggregate power demand with both real and reactive components.

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