It is shown that the amount of true randomness produced by the recently introduced Galois and Fibonacci ring oscillators can be evaluated experimentally by restarting the oscillators from the same initial conditions and by examining the time evolution of the standard deviation of the oscillating signals. The restart approach is also applied to classical ring oscillators and the results obtained...

In this paper we propose an exception logic { formalizing reasoning about exceptions. We use this logic to defend two claims. First, we argue that default logic { formalizing reasoning about default assumptions { is an extension of exception logic. A deconstruction argument shows that reasoning about exceptions is one of the rst principles of reasoning about default assumptions. Second, we argu...

We present a theory, a system and an application for common sense reasoning based on propositional logic, the probability calculus and the concept of maximum entropy. The task of the system Pit (Probability Induction Tool) is to provide decisions under incomplete knowledge, while keeping the necessary additional assumptions as minimal and clear as possible. We therefore enrich the probability c...

Thresholding is an important topic for image processing, pattern recognition and computer vision. Selecting thresholds is a critical issue for many applications. The fuzzy set theory has been successfully applied to many areas, such as control, image processing, pattern recognition, computer vision, medicine, social science, etc. It is generally believed that image processing bears some fuzzine...

Information is taken as the primary physical entity from which probabilities can be derived. Information produced by a source is defined as the class of sources that are recodingequivalent. Shannon entropy is one of a family of formal Renyi information measures on the space of unique sources. Each of these measures quantifies the volume of the source’s recoding-equivalence class. A space of inf...

I present a formalism that combines two methodologies: objective Bayesianism and Bayesian nets. According to objective Bayesianism, an agent’s degrees of belief (i) ought to satisfy the axioms of probability, (ii) ought to satisfy constraints imposed by background knowledge, and (iii) should otherwise be as non-committal as possible (i.e. have maximum entropy). Bayesian nets offer an efficient ...

The machining of glass-fiber-reinforced composites is complex due to their heterogeneous structures. Research has indicated that high-speed machining, at high spindle speeds and feed rates, not only increases productivity but also reduces drilling defects, such as delamination. However, there are several challenges with the heat generated during between drill tool chip contact surfaces can resu...

Wavelet based logic is a form of many valued logic, it deals with reasoning that is approximate rather than fixed and exact. Compared to traditional binary sets (where variables may take on true or false values) fuzzy logic variables may have a truth value that ranges in degree between 0 and 1. Fuzzy logic has been extended to handle the concept of partial truth, where the truth value may range...

Modal Markov Logic for a single agent has previously been proposed as an extension to propositional Markov logic. While the framework allowed reasoning under the principle of maximum entropy for various modal logics, it is not feasible to apply its counting based inference to reason about the beliefs and knowledge of multiple agents due to magnitude of the numbers involved. We propose a modal e...

Human activity recognition is widely used in smart cities, public safety and other fields, especially home systems where it has a pivotal role. The study addresses the shortcomings of Markov logic networks for human proposes method scenarios - an framework based on Probabilistic Soft Logic (PSL). able to deal with logical uncertainty problems provides expression inference mechanisms data this b...