today, the brand creation or branding, which is the so-called industrial identification, is one of the most common industrial terms under various researching. this word is associated with the creation of an emotional bond with stakeholders. brand is defined as a name, term, sign, symbol, or design, or a combination of them, intended to identify the goods or services of one seller or group of se...

The paper deals with problems of safety and security principles within industrial communication systems witch is used in safety critical applications. The summarisation of attacks to industrial automation systems and security issues and recommendations applicable to the industrial networks based on cryptographic techniques is mentioned. The mainly part is oriented to identification of risks and...

Subspace identification methods, such as canonical variate analysis (CVA), are noniterative tools suitable for the state-space modeling of multi-input, multi-output processes, e.g., industrial using input-output data. To learn nonlinear system behavior, kernel subspace techniques commonly used. However, issue design must be given more attention because type can influence kind nonlinearities tha...

A novel reinforcement learning benchmark, called Industrial Benchmark, is introduced. The Industrial Benchmark aims at being be realistic in the sense, that it includes a variety of aspects that we found to be vital in industrial applications. It is not designed to be an approximation of any real system, but to pose the same hardness and complexity.

Before discussing the pathogenesis and clinical aspects of this disease, clarification of some of the pertinent terminological definitions may be in order. Hypertrophic emphysema is the most commonly used designation of this disease. Also, it is known under the following names: genuine emphysema, idiopathic emphysema, diffuse vesicular emphysema, obstructive emphysema, dystrophlc emphysema, pul...

Our question answering system was built with a number of priorities in mind. First, we wanted to experiment with natural language processing (NLP) technologies such as shallow parsing, named entity tagging, and coreference chaining. We felt that the small number of terms in the questions coupled with the short length of the answers would make NLP technologies clearly beneficial, unlike previous...