Quantifying the similarity between symbolic sequences is a traditional problem in information theory which requires comparing the frequencies of symbols in different sequences. In numerous modern applications, ranging from DNA over music to texts, the distribution of symbol frequencies is characterized by heavy-tailed distributions (e.g., Zipf’s law). The large number of low-frequency symbols i...

One way of using entropy criteria in learning systems is to minimize the entropy of the error between the output of the learning system and the desired targets. In our last work, we introduced the Error Entropy Minimization (EEM) algorithm for neural network classification. There are some sensible aspects in the optimization of the EEM algorithm: the size of the Parzen Window (smoothing paramet...

In automotive industry fixtures have a direct effect on product manufacturing quality, productivity and cost, as a result fixtures, particularly welding fixture, play a crucial role in the auto industry. The fixture is a special tool for holding a work piece in proper position during manufacturing operation, so in the phase of the fixture design process positioning pins and surfaces are used to...

Quantifying the similarity between symbolic sequences is a traditional problem in Information Theory which requires comparing the frequencies of symbols in different sequences. In numerous modern applications, ranging from DNA over music to texts, the distribution of symbol frequencies is characterized by heavy-tailed distributions (e.g., Zipf’s law). The large number of low-frequency symbols i...

ALI SHANON ALSAADI, TAT-CHEE WAN AND ALHAMZA MUNTHER Computer Engineering and Computer Science Department University of Louisville Louisville, KY 40292 USA School of Computer Sciences Universiti Sains Malaysia Penang, 11800 Malaysia School of Computer and Communication Engineering Universiti Malaysia Perlis Perlis, 02600 Malaysia E-mail: [email protected]; [email protected]; g1340811014@...

A basic systems question concerns the concept of closure, meaning autonomomy (closed) in the sense of describing the (sub)system as fully consistent within itself. Alternatively, the system may be nonautonomous (open) meaning it receives influence from an outside coupling subsystem. Information flow, and related causation inference, are tenant on this simple concept. We take the perspective of ...