By W. Eric Wong
This e-book goals to envision innovation within the fields of machine engineering and networking. The publication covers very important rising themes in computing device engineering and networking, and it'll aid researchers and engineers enhance their wisdom of state-of-art in similar components. The ebook provides papers from the 4th foreign convention on machine Engineering and Networks (CENet2014) held July 19-20, 2014 in Shanghai, China.
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Classiﬁcation process: 1. Extract feature words from new e-mails. 2. Calculate the probability P(cham|d ) of normal e-mail and P(cspam|d ) of spam when it satisﬁes the extracted feature words d. 3. Classify this e-mail based on the results. When the value of P(cspam|d) is greater than P(cham|d) or the threshold λ, this e-mail is tagged as spam. Spam ﬁltering faces two practical problems in its application: what is the result if spam is identiﬁed as normal e-mail? And what is the consequence if normal e-mail is considered spam.
Some results can be obtained by analyzing Eqs. 6): Á À À Á P hamd P dham PðhamÞ Á ¼ log À Á f ðdÞ ¼ log À P dspam PðspamÞ P spamd ð5:11Þ n n X À Á X À Á PðhamÞ : ¼ logP d spam À logP d ham þ log PðspamÞ i¼1 i¼1 42 H. Wang et al. Fig. 1 Relationship between text dot of unknown e-mail and the classiﬁer line Y X1 X2 45º D1 D2 Let x ¼ n X i¼1 Z Y1 (X1,Y1) X-Y+Z=0 X 0 (X2,Y2) Y2 n X À Á À Á hamÞ logP d ham , y ¼ logP dspam , z ¼ log PPððspam Þ. i¼1 Thus, Eq. 11) is changed as follows: f ðd Þ ¼ x þ y À z ð5:12Þ By analyzing x, y, and z, the results show that x is the sum of the logarithm of probabilities for all feature words in new e-mail occurring in the class spam, which reﬂects the possibility that this new e-mail is spam; y is the sum of logarithm probabilities for all feature words in new e-mail occurring in the class ham, which shows the possibility that this new e-mail is ham; z reﬂects the a priori probability difference between ham and spam.
E. 1007/978-3-319-11104-9_4 27 28 W. Shi et al. controller was described in  for a global control scheme. A technique for control of DC motor speed using fractional Fuzzy-PID has also been developed, as described in . The Fuzzy-PID control method possesses great practical signiﬁcance for the control of multiple stepping motors. 2 Overview of the Fuzzy-PID Controller PID controllers have been used in industrial control systems for several decades and it is a well-developed method . The time-domain expression of a standard PID controller is given by Eq.