In EU law a lot of attention has recently been paid to personal data protection standards. In parallel to the development of the general EU rules on data protection, the Members States also develop cooperation between law enforcement agencies and create new information exchange possibilities, including the processing of personal data of participants in criminal proceedings. The aim of this article is to analyse whether the personal data of victims of crime are safeguarded according to the standards of the Charter of Fundamental Rights. For this purpose, the author analyses two directives: 2012/29/EU, which regulates minimum standards of victims of crime; and 2016/680/EU (also known as the Law Enforcement Directive), which regulates personal data processing for the purpose of combating crime. Based on the example of the Polish legislation implementing both directives, the author comes to the conclusion that the EU legislation is not fully coherent and leaves too much margin of appreciation to the national legislator. This results in a failure to achieve the basic goals of both directives. The author expects the necessary reflection not only from the national legislator, but also from the European Commission, which should check the correctness of the implementation of the directives, as well as from national courts, which should use all possible measures to ensure that the national law is interpreted in the light of the objectives of the directives.
In the last decade many buildings such as multipurpose buildings, malls, auditoriums, sports halls which have long-span building floor structure. Various research results indicate that in general long-span concrete floor structures have a fundamental frequency of less than 7 Hz. This will risk a resonance if this floor receives dynamic loads of people jogging to follow the song with a frequency of 2-3 Hz. This research was conducted to numerically analyze the long-span building floor model using SAP2000, to determine the fundamental frequency and maximum displacement of the floor structure model. It was also investigated how to increase its fundamental frequency and reduce the maximum displacement. The results have shown that the numerical analysis of the plate model long-span floor building using SAP2000 produces a fundamental frequency of 5.19 Hz. Model III with Reinforcing double equal angles (84x37x10x2.5) steel truss provides the best results, increases the fundamental frequency to be 7.93 Hz, and with a variety of static and dynamic loads, decreases the value of the displacement and far from the allowable displacement.
The human voice is one of the basic means of communication, thanks to which one also can easily convey the emotional state. This paper presents experiments on emotion recognition in human speech based on the fundamental frequency. AGH Emotional Speech Corpus was used. This database consists of audio samples of seven emotions acted by 12 different speakers (6 female and 6 male). We explored phrases of all the emotions – all together and in various combinations. Fast Fourier Transformation and magnitude spectrum analysis were applied to extract the fundamental tone out of the speech audio samples. After extraction of several statistical features of the fundamental frequency, we studied if they carry information on the emotional state of the speaker applying different AI methods. Analysis of the outcome data was conducted with classifiers: K-Nearest Neighbours with local induction, Random Forest, Bagging, JRip, and Random Subspace Method from algorithms collection for data mining WEKA. The results prove that the fundamental frequency is a prospective choice for further experiments.
The paper presents pursuits of the truth in building materials engineering. Some definitions of “what truth is” were presented. Partial truths were specified: the truth of scientific reasoning, the truth of scientific assessment, the truth of development directions and the splendour of scientific truth. All categories are addressed to the building materials engineering. In the chapter “Load capacity and stability vs entropy” definitions of entropy and exergy were presented followed by their influence on building construction, illustrated by the “Seneca cliff” and “Energy pyramid”. Chapter 3 presents the truth of scientific reasoning was presented. Three partial truths were indicated: the truth of experimental fact, the truth of scientific reasoning and the truth of scientific presentation. In the chapter “Truth of scientific assessment” two main assessment methods were presented: peer review and a bibliometric parametric assessment as well as their impact on the results and authors. The risks associated with the sole parametric assessment were shown as the two basic factors of a parametric assessment – citation number and Hirsch index – need time to "mature". Additionally, the influence of digitalisation of the assessment of a scientist and a scientific unit on the commoditisation and dehumanisation of science was outlined. In the chapter “Truth of development directions: defined past – fuzzy future” the megatrends observed in technology in the last few decades years were indicated along with new possible trends. Milestones in the development of C-PCs (Concrete-Polymer Composites) were presented. The new paradigm for the new development cycle was proposed.
A draft of the changes to the Polish Academy of Sciences is presented, which will increase its prestige and make better use of the scientific potential of the members of the Academy and the employees of its institutes. The proposed regulations will allow for a comprehensive activation of potential of both institutes and corporate members. The aim of reform is to make the PAS an attractive scientific institution with a focus on the pursuit of fundamental research at the highest level, and to recognize that understanding and clarification of the problem must precede possible applications.
Hereby there is given the speaker identification basic system. There is discussed application and usage of the voice interfaces, in particular, speaker voice identification upon robot and human being communication. There is given description of the information system for speaker automatic identification according to the voice to apply to robotic-verbal systems. There is carried out review of algorithms and computer-aided learning libraries and selected the most appropriate, according to the necessary criteria, ALGLIB. There is conducted the research of identification model operation performance assessment at different set of the fundamental voice tone. As the criterion of accuracy there has been used the percentage of improperly classified cases of a speaker identification.