Modeling of mobile channels using TIMS in IT education

PurposeThe purpose of this paper is to directly link information technology (IT) education with real-world phenomena.Design/methodology/approachThe selected objectives are achieved by modeling line of sight (LOS) and nonline of sight (NLOS) mobile channels using corresponding distributions. Within the described experiments, students verify whether modeled generators generate random variables accordingly to the selected distribution. The results of observations are directly compared with theoretical expectations. The methodology was evaluated by students via questionnaires.FindingsThe results show that the proposed methodology can help graduate or undergraduate students better comprehend lectured material from mobile communications or mathematical statistics.Originality/valueThe hands on experience using the EMONA system make the approach original.

Precedent Phenomena: Transformation Processes

Introduction. The precedent phenomenon in the title of a journalistic article is one of the characteristic features of the modern Belarusian mass media discourse. The article examines the pecularities of transformation processes of precedent phenomena in republican and regional newspapers.Methodology and sources. The theoretical basis of this research was formed by the works in the field of discourse theory (T. van Dijk, T. G. Dobrosklonskaya, V. E. Chernyavskaya), as well as the theory of intertextuality and precedence (M. M. Bakhtin, Y. Kristeva, R. Bart, I. V. Arnold, D. B. Gudkov). In the course of the study, a structural and semantic analysis of the headings and a content analysis of the articles of Belarusian newspapers were carried with the focus on difference between center and periphery. The research material was the republican and regional newspapers of Belarus in the period from 2017 to 2020 years (a total of 400 articles with heading complexes).Results and discussion. The activity of precedent information in the Belarusian journalism of the period under review is evidenced by numerous references, allusions, intertextual inclusions recorded in various republican and regional media, both unchanged and transformed. In the case of transformation, the elements of the original text, name, statement, situation can be shortened, replaced or addition may take place. In some cases, to draw attention to the media text, the author uses transformations not only at the lexical, but also at the phonetic, morphemic, syntactic levels. In general, transformed precedent phenomena prevail in Belarusian publications (about 75 %). The most subject to transformation are precedent statements and texts, and the least – situations. These tendencies are typical for both republican and regional publications.Conclusion. The application of the precedent phenomenon actualizes the background knowledge of the reader, referring to the phenomena that have already received a certain interpretation and assessment. The transformation of the precedent phenomenon allows you to link information about the event or the fact described by the author with the information already available in the linguo-cognitive base, updating and multiplying it, expanding and enriching the communicative space.

Complex-InversE: Improving bilinear knowledge graph embeddings by mapping into complex space

Knowledge graph link prediction uses known fact links to infer the missing link information in the knowledge graph, which is of great significance to the completion of the knowledge graph. Generating low-dimensional embeddings of entities and relations which are used to make inferences is a popular way for such link prediction problems. This paper proposes a knowledge graph link prediction method called Complex-InversE in the complex space, which maps entities and relations into the complex space. The composition of complex embeddings can handle a large variety of binary relations, among them symmetric and antisymmetric relations. The Complex-InversE effectively captures the antisymmetric relations and introduces Dropout and Early-Stopping technologies into deal with the problem of small numbers of relationships and entities, thus effectively alleviates the model’s overfitting. The results of comparison experiment on the public knowledge graph datasets show that the Complex-InversE achieves good results on multiple benchmark evaluation indicators and outperforms previous methods. Complex-InversE’s code is available on GitHub at https://github.com/ZeyuMiao97/Complex-InversE.

Recent progress in the application of omics technologies in the study of bio-mining microorganisms from extreme environments

Bio-mining microorganisms are a key factor affecting the metal recovery rate of bio-leaching, which inevitably produces an extremely acidic environment. As a powerful tool for exploring the adaptive mechanisms of microorganisms in extreme environments, omics technologies can greatly aid our understanding of bio-mining microorganisms and their communities on the gene, mRNA, and protein levels. These omics technologies have their own advantages in exploring microbial diversity, adaptive evolution, changes in metabolic characteristics, and resistance mechanisms of single strains or their communities to extreme environments. These technologies can also be used to discover potential new genes, enzymes, metabolites, metabolic pathways, and species. In addition, integrated multi-omics analysis can link information at different biomolecular levels, thereby obtaining more accurate and complete global adaptation mechanisms of bio-mining microorganisms. This review introduces the current status and future trends in the application of omics technologies in the study of bio-mining microorganisms and their communities in extreme environments.

The DiSSCo Knowledgebase: A trusted information hub for the natural science collection community worldwide

In the last two decades, various projects and initiatives have conducted research on how to share, exchange, and link information from natural science collection objects. This profound (technical) knowledge, standards, tools, and best practices are essential to the development of any new research infrastructure facilitating research on bio- and geodiversity. However, the knowledge and research results are usually not easily accessible at a single point and particularly not in a well-curated form. Here, the Knowledgebase developed for the Distributed System of Scientific Collections (DiSSCo) comes into play. This information hub will act as trusted source for project outcomes and other relevant resources (e.g., web services, Persistent Identifier Systems, controlled vocabularies, domain-specific ontologies and standards) for users and developers of DiSSCo and other research infrastructures worldwide. In this talk, we will present the current version of the DiSSCo Knowledgebase, its developmental approach, and the opportunity for this source to act as an e-service for various stakeholder groups interested in and working with natural science collections worldwide.

Development of a Bayesian network for probabilistic risk assessment of pesticides

Conventional environmental risk assessment of chemicals is based on a calculated risk quotient, representing the ratio of exposure to effects of the chemical, in combination with assessment factors to account for uncertainty. Probabilistic risk assessment approaches can offer more transparency, by using probability distributions for exposure and/or effects to account for variability and uncertainty. In this study, a probabilistic approach using Bayesian network (BN) modelling is explored as an alternative to traditional risk calculation. BNs can serve as meta-models that link information from several sources and offer a transparent way of incorporating the required characterization of uncertainty for environmental risk assessment. To this end, a BN has been developed and parameterised for the pesticides azoxystrobin, metribuzin, and imidacloprid. We illustrate the development from deterministic (traditional) risk calculation, via intermediate versions, to fully probabilistic risk characterisation using azoxystrobin as an example. We also demonstrate seasonal risk calculation for the three pesticides.

Man as the weakest link information security

Celem niniejszego artykułu jest określenie roli i znaczenia człowieka oraz jego słabości w systemie bezpieczeństwa informacyjnego organizacji. Wszyscy ludzie popełniają błędy, które niekiedy mogą nieść za sobą poważ-ne konsekwencje. Hipoteza robocza, która została postawiona w niniejszym artykule, wyrażona została w przekonaniu, że to człowiek jest najsłabszym ogniwem bezpieczeństwa informacyjnego organizacji. Jak wynika z ,,2014 Cyber Security Intelligence Index”, aż 95% wszystkich incydentów związanych z bezpieczeństwem wiąże się z błędami popełnionymi przez człowieka. Dla organizacji takie sytuacje są zazwyczaj bardzo kosztowne, ze względu na to, że dotyczą osób, które posiadają dostęp do najbardziej wrażliwych danych. Jak wynika z przytoczonego w artykule badaniu, świadomość zagrożeń występujących w systemach informacyjnych, wśród respondentów jest niska. Zachodzące zmiany w dostępności do informacji, wiążą się z koniecznością ciągłego doskonalenia jej ochrony. Nie tylko systemowej, ale także ochrony wynikającej z kompetencji człowieka. Dlatego warto na nim skupić uwagę i zastanowić się nad możliwymi metodami poszerzania jego kompetencji oraz ciągłej nauki.

Device-Free Crowd Counting Using Multi-Link Wi-Fi CSI Descriptors in Doppler Spectrum

Measuring the quantity of people in a given space has many applications, ranging from marketing to safety. A family of novel approaches to measuring crowd size relies on inexpensive Wi-Fi equipment, taking advantage of the fact that Wi-Fi signals get distorted by people’s presence, so by identifying these distortion patterns, we can estimate the number of people in such a given space. In this work, we refine methods that leverage Channel State Information (CSI), which is used to train a classifier that estimates the number of people placed between a Wi-Fi transmitter and a receiver, and we show that the available multi-link information allows us to achieve substantially better results than state-of-the-art single link or averaging approaches, that is, those that take the average of the information of all channels instead of taking them individually. We show experimentally how the addition of each of the multiple links information helps to improve the accuracy of the prediction from 44% with one link to 99% with 6 links.

VIBRATION PROTECTION SYSTEMS OF VEHICLES: ACTIVE CONTROL AND OPTIMIZATION

The article presents the results of studies of the dynamic properties of a vibration-protective system with active control, which is directly identified with the compensatory effect and is charac-terized as direct control, as well as a vibration-protective system with indirect control, which forms a compensatory effect mediated through the implementation of an intermittent process of changes in the parameters of the inertial link. To find the optimal positional control function of direct (ac-tive) control, as well as indirect (singular) control of the inertial link, information technologies for solving boundary value problems were used in relation to the canonical Hamilton equations for the vibration protection systems under study. The parameters are established at which vibration protection systems of this type eliminate resonance phenomena and provide comparable indicators of vibration safety for protected objects under kinematic disturbance.