Tomas Bata University in Zlín
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Semi-conducting microspheres formed from glucose for semi-active electric field-responsive electrorheological systems
No full textIn this study glucose particles were successfully transformed to conducting carbonaceous microspheres through sequential hydrothermal and thermal carbonization. The prepared carbonaceous particles were thereafter used as a dispersed phase in a novel electrorheological fluid. Due to significant enhancements of the conductivity and dielectric properties when compared with the glucose precursor, the prepared electrorheological fluid based on carbonaceous microspheres exhibited a yield stress of over 200 Pa at a particle concentration of 5 wt% at an electric field intensity of 3 kV mm−1, and overcomes recently published novel electrorheological fluids and others based on carbonized particles. In order to estimate the exact rheological parameters, the measured data were treated using a mathematical model Cho-Choi-Jhon, and the reproducibility and reversible possibility to control the viscosity of the novel prepared electrorheological fluid were confirmed through time dependence tests at various electric field intensities. Not only did this approach lead to carbonaceous conducting particles with high performance in electrorheology, but the yield after carbonization at 500 °C was also 60%. It was thus confirmed that unique carbonaceous conducting particles were prepared using a sustainable method giving high yields, and can be potentially used in many other applications where such carbonaceous particles are required. © 2022 The Royal Society of Chemistry.RP/CPS/2022/003; Ministerstvo Školství, Mládeže a Tělovýchovy, MŠMTMinistry of Education, Youth and Sports of the Czech Republic - DKRVO [RP/CPS/2022/003
Online brand community and consumer brand trust: Analysis from Czech millennials
Get PDFTo ensure effective and efficient relationship marketing, brand management has become an asset (pre-requisite) for quality service marketing to thrive. Brands have gone viral to develop communities to interact with existing and novice consumers. However, the relationships between these online communities and brand trust are less explored in the literature, given the fact that consumers and users of information are core beneficiaries of these communities. The study, hence, adopted a referral (snowball) method of sampling technique to identify and gather data from social media users who are mainly millennials from the Czech Republic. Five hypotheses were tested using PLS-SEM with 534 valid respondents. The results show that online brand community has a direct significant effect on consumer’s brand trust, and indirect significant via the mediating role of peer-to-peer interaction and consumer brand engagement. Hence, the research provides managers (brand practitioners) with new insights regarding the motivations (brand promise and trust) as consequence of interacting in online brand communities. Again, this study enhances social media marketing and branding literature for researchers and practitioners to leverage on the relevance of online brand community for a firm’s competitive edge. Limitation and future research directions are considered. © 2022 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license.Tomas Bata University in Zlin, TBU: IGA/FAME/2021/00
Raman microscopic measurement of materials used on banknotes
No full textThe successful verification of the authenticity of banknotes, or the detection of counterfeits, is based on the combination of an effective measuring system and computer technology. In this paper, a modern diagnostic method Raman microscopy together with an exploratory tool for processing and interpreting multi-dimensional datasets, and cluster analysis, are used to study structural differences between paper and orange ink used on genuine banknotes. Six currencies of European countries were selected for this study: Croatian kuna, Czech crown, euro, Great British Pound, Polish zloty, and Swiss franc. Raman microscopy offers non-destructive, rapid analysis without any sample preparation and pre-processing, with the potential to recognize structural modification of substances, together with the advantages of optical microscopy. Cotton fibres, TiO2 in two different modifications, and other additives are successfully identified within the spectra. The patterns found in mathematically processed Raman data, especially between the paper, indicate both, the similarities and differences across the various banknotes, even of the same currency. The results serve as a base of the spectral database for authenticity control of banknotes and classification of the materials used. © 2022 IEEE.Tomas Bata University in Zlin, TBU: CZ.02.2.69/0.0/0.0/16_028/000624
Crisis management and its information software security
No full textThis article deals with software that processes information for crisis management. The paper defines the types of information in crisis management and categorizes them according to the needs of protection. In one part of the article, the crisis management software itself is presented. In the next part it deals with the crisis management software itself. The paper defines sixt areas according to determination of the appropriate software and engages in relation between these software and information. The paper specifies what software works with what information. The paper works with COBIT methodology, COBIT cube and up to some extent with SWOT analysis. There are discussed particular elements of the COBIT cube and they are applied to the problematics of the crisis management software. The paper demonstrates relations between particular elements of the COBIT cube through examples of the application of the COBIT cube to the problematics of the crisis management software and shows difficulties and problems associated with this. © 2022 IEEE
Reliability testing of software designed to detect people
No full textIn connection with the solution of the security situation in the world, artificial intelligence has been intensively used in recent years, which can process and solve complex problems with the help of high computer performance, data volume and machine learning algorithms. The field of face recognition and object detection has not lagged behind in this area and makes extensive use of artificial intelligence in its algorithms. The work presents the possibilities of obtaining data for the detection of persons by camera systems, at the same time the individual algorithms for face detection and identification of persons are presented. Attention is paid to the analysis of current software manufacturers for Face Recognition with subsequent testing of two separate programs and one software, which is a product of the manufacturer of camera systems. © 2022 IEEE
Socio-cognitive optimization of time-delay control problems using agent-based metaheuristics
No full textFollowing the introduction of the socio-cognitive caste-based algorithms into the classic evolutionary metaheuristics, in this paper we focus on similar task regarding agent-based universal optimization methods. We tackle EMAS and DE algorithms and enrich them also with TOPSIS-inspired mechanism. Besides giving the details of the methods and the background, we present preliminary results after applying those techniques to solving the problem of optimization of time-delay system model. © 2022 IEEE.978-1-5090-6008-5/17/$31.00; Grantová Agentura České Republiky, GA ČR: GF21-45465L; Narodowe Centrum Nauki, NCN: /35/O/ST6/00570, 2020/39/I/ST7/02285; Ministerstwo Edukacji i Nauki, MNiS
Guide for stabilization and heuristic optimization of second-order systems controlled by P/I-delayed controllers
No full textThe present paper shows the procedure for the stabilization and subsequent optimization of second-order systems using a proportional plus integral delayed controller. Stabilizing closed-loop control systems using a controller comprehends several techniques to increase the control circuit's stability. Even in some simple second-order plants, the classical proportional integral controller cannot be applied to pursue closed-loop stability. However, the design requires constant reference tracking capability, for example. Moreover, if there is a time delay in the feedback loops inside a controlled system, the system has an infinite spectrum - infinitely many roots (poles); this degrades the control's quality, especially in terms of stability, robustness, and oscillation response. For these reasons, it is also necessary to optimize the transient response of the system. The main objective of this paper is to provide a guide for optimal control of second-order systems controlled by a proportional integral-delayed controller. Some examples are chosen as benchmarks to verify the effectiveness of the stabilization and subsequent heuristic optimization. In future research, we would like to focus on implementing selected modern optimization algorithms for solving non-smooth, non-convex, and non-Lipschitz optimization problems. © 2022 IEEE.Grantová Agentura České Republiky, GA ČR: GAČR 21-45465
Associations between prevalence of chronic diseases and socio-economic status in adult population of Slovakia
Get PDFINTRODUCTION: The study presents associations between prevalence of chronic diseases and selected socio-economic (SES) attributes in adult population of Slovakia and analyses the prevalence of chronic diseases in regions of Slovakia.
METHODS: In total, 735 respondents (146 men and 589 women) with a mean age of 37.79 ± 13.6 participated in this cross-sectional study. The main observed characteristics were chronic diseases and their associations with SES attributes, namely household income, education, age and lifestyle represented by frequency in engaging in recondition-relaxation activities. In order to obtain data, a self-administrated online questionnaire was used. Data were analysed by calculation of odds ratio and chi-square test. The significance level was set at 0.05.
RESULTS: Apart from lung disease which are least suffered in central Slovakia (χ2 = 9.850, df = 1, p = 0.043), the prevalence of chronic diseases is equally represented in all 8 administrative regions of Slovakia. Prev alence of chronic diseases is significantly influenced by age. The age of 40 is critical for the occurrence of chronic diseases. Respondents with higher education level have a lower prevalence of chronic diseases and vice versa (OR = 1.127; RR = 1.079). A better lifestyle represented by higher frequency of engaging in recondition relaxation activities was found in healthy respondents (OR = 0.700549 and RR = 0.936958; χ2 test p = 0.000798). Household income did not show a significant association with the prevalence of chronic diseases (OR = 1.06; RR = 1.025; χ2 test, p = 0.778).
CONCLUSION: The study did not confirm a higher prevalence of chronic diseases in regions with weaker SES in Slovakia. Out of the 4 monitored SES attributes, 3 of them (age, education and lifestyle) had a significant impact on the prevalence of chronic diseases. Household income showed only a minimal association with the prevalence of chronic diseases, but this interdependence was not significant (Tab. 6, Ref. 41)
Percepção e influência turística no turismo virtual usando modelo de análise sentimental bayesiana no Vietnã baseado na eWOM para o desenvolvimento sustentável
Get PDFObjective: The advancement of Internet technology brought up the tourism industry towards new development and opportunities. With application of the Internet technology tourism industry comprises a vast range of virtual communities such as Trip Advisor, Agoda, Travelocity and so on. Existing research concentrated on evaluating the factors influencing virtual communities' behaviour with limited evaluation of tourist perception. This paper focused on examining the tourists' perception of a virtual tour through the sentimental analysis model based on eWOM for sustainable development.
Method: The developed model comprises the group average Bayesian network with the computation of the polarity of the tourist perception. A Bayesian network is a data-driven method involved in estimating dependence among the variable with probabilistic computation.
Results: The analysis is based on data collected from sample population in Vietnam with consideration of the 11 variables. Participation intensity, social identity, functional value, emotional value, sharing, interaction, and user satisfaction are among eleven primary variables that have been chosen.
Conclusions: The analysis of the results expressed that the user satisfaction level is based on the user's experience and functional value. Additionally, the analysis stated that social value comprises the intermediary role in virtual tourism. This research adds to research methodologies of user engagement methods as well as serves as a reference for theoretical research and management practise in the virtual tourist community
When the push and pull factors in digital educational resources backfire: the role of digital leader in digital educational resources usage
Get PDFThe study investigated the impact of digital leadership on teachers' usage of digital educational resources (DERs). The study collected data from teachers and headteachers in four pre-tertiary schools in Ghana. Also, trust was included as the interacting variable to examine its mediating role in digital leadership and digital educational resource usage to better disentangle the relationship between digital leadership and digital educational resource. The study used symmetrical (Partial Least Square-Structural Equation Modelling (PLS-SEM) and asymmetrical approaches (fuzzy-set Qualitative Comparative Analysis (fsQCA) for the analysis of the relationships. The results underpin digital leadership's importance in digital educational resource implementation outcomes in developing countries' pre-tertiary schools. The fuzzy-set qualitative comparative analysis findings confirm that exclusively using symmetrical approaches for digital educational resource studies may not be sufficient to understand the expected relationships within a proposed model. Under the partial least squares path modelling (PLS-SEM) analysis, trust did not mediate the relationship between digital leadership and teachers' usage of digital educational resources. Sharply from the PLS-SEM findings, the fsQCA revealed that the presence of digital leadership and trust are necessary conditions to predict teachers' usage of digital educational resources. These results and their implications for theory and practice are discussed.National Technical Library in Pragu