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Automatic bird species recognition method using their voices is presented in this paper. The selected bird species have been detected by hidden Markov models (HMM) classifier using Mel-frequency cepstral coefficients (MFCC). In order to support recognition process, analysed signals have been appropriately filtered before classification in the so called prefiltration process. The prefiltration strategy assumed using n-th order IIR Butterworth filter bank. Each filter from the filter bank was applied for band pass filtration in the bird species specific and signal type band. Increase of recognition accuracy has been observed in case of prefiltration with properly chosen filter order. Experiments have been carried out on the set of bird voices containing 30 bird species, one of which is endangered with extinction.

International audienceThis paper presents a framework combining BPMN and BR as a tool for Knowledge Management (KM). An attempt at providing a common model supported with Artificial Intelligence (AI) techniques and tools is put forward. Through an extended example it is shown how to combine BPMN and BR and how to pass to semantic level enabling building executable specifications and knowledge analysis. Some of the problems concerning these two approaches can be to certain degree overcome thanks to their complementary nature. We only deal with a restricted view of Knowledge Management, where knowledge can be modeled explicitly in a formal representation, and it does not take into account the hidden, personal knowledge

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One of the crucial aspects of the environmental protection is continuous monitoring of environment. Specific aspect is estimation of the bird species population. It is particularly important for bird species being in danger of extinction. Avian monitoring programs are time and money consuming actions which usually base on terrain expeditions. Certain remedy for this can be automatic acoustical avian monitoring system, described in the paper. Main components of the designed system are: digital audio recorder for bird voices acquisition, computer program automatically recognizing bird species by its signals emitted (voices or others) and object-relational database accessed via the Internet. Optional system components can be: digital camera and camcorder, bird attracting device, wireless data transmission module, power supply with solar panel, portable weather station. The system records bird voices and sends the recordings to the database. Recorded bird voices can be also provoked by the attracting device. Application of wireless data transmission module and power supply with solar panel allows long term operation of digital sound recorder in a hard accessible terrain. Recorded bird voices are analysed by the computer program and labelled with the automatically recognized bird species. Recognition accuracy of the program can be optionally enhanced by an expert system. Besides of labelled sound recordings, database can store also many other information like: photos and films accompanying recorded bird voices/ sounds, information about localization of observation/ recordings (GPS position, description of a place of an observation), information about bird features and behaviour, meteorological information, etc. Database on the base of geographical/ geological digital maps can generate actual maps of bird population (presence, number of individuals of each species). Moreover data-base can trigger alerts in case of rapidly decreasing bird population. It is also possible to obtain new knowledge about bird species with data mining methods. The paper presents collected data on observed bird species (audio recordings, photos and films) as well as results of experiments testing particular components of the automatic acoustical avian monitoring system.

The main subject of this article is an attempt to resolve whether and on what principles active financial market participants were entitled to continue their activities related to trading in financial instruments during the so-called transition period determined by the provision of Article 29 of the Act of 1 March 2018 amending the Act on Trading in Financial Instruments and certain other acts (Dz.U. [Journal of Laws] of 2018, item 685).To this end, the authors have interpreted this provision in the context of the overall regulation of the amending act, with particular attention paid to the new wording of the definition of trading in financial instruments. The analysis of the indicated issues is carried out primarily from the point of view of active participants of the financial market, which constitutes a significant enrichment of the studies that have so far dealt with the discussed problem.Against the background of the above considerations, the authors draw attention to the influence of the Polish Financial Supervision Authority (Financial Supervision Commission) on other financial market participants, especially in relation to the supervisory proceedings conducted by the Authority and the supervisory measures applied. As a result of the conducted deliberations, the authors notice that the imprecision and incompleteness of the content of the analysed legal acts may be connected with significant negative consequences for the financial market participants, primarily in the form of financial sanctions.

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