Tomas Bata University in Zlín
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The identification of indicators influencing the credit risk if automotive companies in the Czech Republic
No full textThe paper deals with the credit risk and identification of indicators, which influence the rating of automotive companies in the Czech Republic. Methods used in this study were correlation analysis, descriptive statistics and panel data regression. The aim of this paper was firstly to calculate the ratings of automotive companies in the Czech Republic utilizing the Aspect Global Rating model and then determine, which indicator has the highest influence on rating of tested companies. The Aspect Global Rating model consists of seven indicators: operating margin, return on equity, depreciation coverage indicator, prompt liquidity, self-financing indicator, return on operating assets, and assets turnover ratio. When using the Aspect Global Rating model, the research results indicate that the company's rating is statistically dependent on the value of the depreciation coverage indicator. The depreciation coverage indicator was proven to have the highest impact on the rating. After that, the data was subjected to panel data regression and three models were created. Proposed models solved the dependency between the depreciation coverage indicator and rating. First model tested hypothesis, that rating of the company is not dependent on the depreciation coverage indicator, whereas second model tested, whether rating is dependent on the depreciation coverage indicator and last model was focused on the dependency between rating and tested indicator when the time component was considered. The comparison of models has shown that there is a statistically significant difference between model 1 and model 2 and the rating is statistically dependent on the value of the depreciation coverage indicator. There is a similar situation between model 2 and model 3. There is a statistically significant difference and the rating is dependent on time. Automotive companies should focus on the depreciation coverage indicator, as it is ascertained from research that it has the most significant impact on values of rating.[RO/2018/10
Digital transformation in the banking sector: Evaluating continuance usage intention
No full textMany businesses, including the banking sector, have been impacted by the spread of digital technology to change their business plans, procedures, goods, and services to better serve their clients and enhance their operations. Most crucially, because digital technology platforms enable new business models, traditional product and service creation are no longer necessary. Additionally, the institution is creating operational strategies through digital transformation to help it successfully compete and adjust to the new working environment. Customers currently access financial products and services through automated teller machines, internet banking, and mobile banking. Employing the quantitative research approach, this study seeks to analyze the nexus between perceived usefulness, perceived self-efficacy, perceived ease of use and continuance usage intention towards digital banking services. Empirically, the Smart PLS approach was utilized to examine the relationship between the antecedents (perceived self-efficacy and perceived ease of use) and continuance usage intention towards digital banking service, through the intervening impact of perceived usefulness. 487 data points were collected from customers across the various regions in Ghana. The results suggest that perceived self-efficacy and perceived ease of use have a favourable impact on continuance usage intention towards digital banking services. Most importantly, perceived usefulness emerged as a favourable mediator on the perceived self-efficacy - continuance usage intention relationship as well as perceived ease of use - continuance usage intention affiliation. This study is not only providing beneficial theoretical implications for digital transformation research and the enhancement of continuance usage intention towards digital banking services. It also creates an awareness of the contribution of perceived self-efficacy and perceived ease of use towards digital banking services continuance as well as providing guidelines on the need to concentrate on investing in digital technologies within the banking sector. Further, the survey helps organizations reconsider their digital expertise when designing digital banking service platforms
Enhancing a hierarchical evolutionary strategy using the nearest-better clustering
No full textA straightforward way of solving global optimization problems is to find all local optima of the objective function. Therefore, the ability of detecting multiple local optima is a key feature of a practically usable global optimization method. One of such methods is a multi-population evolutionary strategy called the Hierarchic Memetic Strategy (HMS). Although HMS has already proven its global optimization capabilities there is an area for improvement. In this paper we show such an enhancement resulting from the application of the Nearest-Better Clustering. Results of experiments consisting both of curated benchmarks and a real-world inverse problem show that on average the performance is indeed improved compared to the baseline HMS and remains on par with state-of-the-art evolutionary global optimization methods.Polish National Science Center [2020/39/I/ST7/02285]; Polish Ministry of Science and Education; Czech Science Foundation [CR 21-45465L]; TBU in Zlin [RVO/CEBIA/2021/001]AGH University of Krakow; Ministry of Education and Science, MES; TBU in Zlín; Polish National Science Center, (2020/39/I/ST7/02285); Czech Science Foundation, (GAČR 21-45465L, RVO/CEBIA/2021/001
Algebraic tools in autotuning design
Full text linkAutotuners represent a combination of a relay feedback identification test and some control design method. In this contribution, models with up to three parameters are estimated by means of a single asymmetrical relay experiment. Then a stable low order transfer function with a time delay term is identified by a relay experiment. Autotuning principles then combine asymmetrical relay feedback tests with a control synthesis. Two algebraic control syntheses then are presented in this paper. The first one is based on the ring of proper and stable rational functions RPS. The second one utilizes a special ring RMS, a set of RQ-meromorphic functions. In both cases, controller parameters are derived through a general solution of a linear Diophantine equation in the appropriate ring. A final controller can be tuned by a scalar real parameter m>0. The presented philosophy covers a generalization of PID controllers and the Smith-like control structure. This contribution deals with the implementation of proposed autotuners and presents some illustrative examples
Multiple local co-agglomeration: Modelling spatial-temporal variations of coworking spaces and creative industries clustering in two central European Capitals
No full textEconomies of agglomeration play a crucial role in the creation of innovation in regional innovation systems. In the last decade, coworking spaces have become an organisational innovation of the sharing economy in these systems. Therefore, research on spatial co-agglomeration between coworking spaces and service industries is rising, identifying creative industries as the most significant services for colocation with coworking spaces. Previous studies on spatial association between coworking spaces and service industries have focused on the global distance measurement of their co-agglomeration. Hence, the paper provides insight into the extension of the research by comparing two cross-sectional datasets at different times by locally measured multiple colocations between coworking spaces and the selected creative industries in Prague and Warsaw. The present study is expected to contribute to understanding the spatial association in the long-term trajectories of coworking spaces with creative industries. The results underline the importance of the usage of local colocation quotients in space-time perspective for the detection of spatial association between coworking spaces and creative industries for determining trajectories of their spatial interactions, which resulted in both intensification and spatial diffusion of CBD functions in the adjacent inner city and along urban arterial roads supporting the polycentric metropolis model.Ministry of Education, Youth and Sports, Czech Republic; Horizon 2020 Framework Programme, H2020; INTER-COST, (LTC20047); Narodowe Centrum Nauki, NCN, (2019/35/O/HS4/00861); Narodowe Centrum Nauki, NCN; European Cooperation in Science and Technology, COST, (CA18214); European Cooperation in Science and Technology, COSTMinistry of Education, Youth and Sports, Czech Republic [LTC20047]; Polish National Science Centre [2019/35/O/HS4/00861]; COST Action - European Union [CA18214
Recycling industrial waste polymer as a binder system for ceramic injection molding feedstock
Full text linkCeramic injection molding is a widely used manufacturing process for producing high-precision ceramic components. However, the high cost of traditional binder systems, as well as non-ecological aspects of these binders, may limit its broader applications. This study investigates the potential use of polyvinyl butyral industrial waste containing plasticizer as a sustainable alternative binder system for ceramic injection molding, utilizing alumina powder with a mean particle size of 0.7 μm. The mixing behavior of the binder-powder mixture was evaluated through torque measurements, identifying a critical solid loading point at 56 vol%. The rheological properties of the feedstocks were characterized, revealing that their viscosity remained below the recommended threshold of 1000 Pa s, suitable for ceramic injection molding. The activation energy, ranging from 18 kJ/mol to 45 kJ/mol, demonstrated favorable temperature sensitivity for the process. Subsequently, the feedstocks were successfully injection molded into test specimens, followed by the debinding and sintering processes to achieve the final density. Mechanical testing of the sintered ceramic parts indicated performance comparable to parts produced with traditional binder systems, with final densities exceeding 4 g/cm³, a bending modulus of approximately 15000 N/mm2, and bending strength up to 139 N/mm2. These findings suggest that incorporating industrial waste polymer as a binder system is a cost-effective, environmentally friendly alternative that maintains the quality of molded ceramic parts.Ministerstvo Školství, Mládeže a Tělovýchovy, MŠMT; DKRVO, (RP/CPS/2024-28/003
Traffic safety at level crossings in the Czech Republic
Full text linkThe article deals with the issue of evaluation of the causes of accidents at level crossings in the Czech Republic, including the prediction of the development and proposals of measures for prevention and thus reduction of their number. The goal of this work is to verify the hypothesis that the number of accidents at level crossings in the Czech Republic is decreasing. The authors use available data from the Ministry of Transport and process statistical data for ten years (2013–2022) of railway operation. Accidents are divided into groups related to accidents at level crossings and the result is expressed in graphical form. These data are then processed and evaluated using the method of regression data analysis. The results of the work are also new proposals and recommended measures to reduce the accident rate at level crossings.Department of Population Protection; Tomas Bata University in Zlín, TBU, (RVO/FLKŘ/2022/02, RVO/FLKŘ/2024/04); Tomas Bata University in Zlín, TB
Optimizing low-cost gas analysis with a 3D printed column and MiCS-6814 sensor for volatile compound detection
Full text linkThis paper explores an application of 3D printing technology on the food industry. Since its inception in the 1980s, 3D printing has experienced a huge rise in popularity. This study uses cost-effective, flexible, and sustainable components that enable specific features of certain gas chromatography. This study aims to optimize the process of gas detection using a 3D printed separation column and the MiCS-6814 sensor. The principle of the entire device is based on the idea of utilizing a simple capillary chromatographic column manufactured by 3D printing for the separation of samples into components prior to their measurement using inexpensive chemiresistive sensors. An optimization of a system with a 3D printed PLA block containing a capillary, a mixing chamber, and a measuring chamber with a MiCS-6814 sensor was performed. The optimization distributed the sensor output signal in the time domain so that it was possible to distinguish the peak for the two most common alcohols, ethanol and methanol. The paper further describes some optimization types and their possibilities.Ministerstvo Školství, Mládeže a Tělovýchovy, MŠMT; Internal Grant Agency of Tomas Bata University in Zlin, (IGA/FT/2024/006, RVO/CEBIA/2024/001); Ministerstvo Zemědělství, (MZE-RO0723); Ministerstvo Zemědělství; Vysoké Učení Technické v Brně, BUT, (FEKT-S-23-8162); Vysoké Učení Technické v Brně, BUT; DKRVO, (RP/CPS/2024-28/005)Internal Grant Agency of Tomas Bata University in Zlin; Brno University of Technology project in Brno [FEKT-S-23-8162]; Ministry of Education, Youth and Sports of the Czech Republic [RP/CPS/2024-28/005]; Ministry of Agriculture of the Czech Republic (Prague, Czech Republic) [MZE-RO0723]; [IGA/FT/2024/006]; [RVO/CEBIA/2024/001
DISH solving the GNBG-generated test suite
No full textThis paper presents an extended abstract describing an entry into the benchmarking competition on a new GNBG-generated Test Suite. We are presenting the results of our previously published Distance based parameter adaptation for Success-History based Differential Evolution (DISH) algorithm based on state of the art adaptive differential evolution variants. The key feature of our algorithm is a prolonged exploration due to an updated weighting scheme for control parameter adaptation. The results show that our contestant is able to locate the global optima on 12 out of the 24 test functions.Fakulta aplikované informatiky, Univerzita Tomáše Bati ve Zlíně, FAI; Ministerstwo Edukacji i Nauki, MNiSW; Tomas Bata University in Zlín, TBU, (IGA/CebiaTech/2023/004); Grantová Agentura České Republiky, GAČR, (GF21- 45465L); Narodowe Centrum Nauki, NCN, (2020/39/I/ST7/02285
Visual space-time complexity analysis of big signal data
No full textThis paper will focus on introducing visual analysis for big signal data suitable for preliminary conclusions and information presented to others. The analysis is to determine uniqueness, focusing on spatial-temporal complexity by the nature of the test data. Alongside introducing the analysis and optimization for programming purposes, the real data will be presented and used to display possible usage of this analysis and to determine the uniqueness of electromagnetic background for the possible use in true random number generators. The data consists of measurements in frequency band increments in many locations using widely available consumer-grade equipment. Visual analyses are especially valuable in situations like search for entropy sources because there is no immediate need for a concrete number or boolean statement of the uniqueness; moreover, presenting work is the daily job of a researcher, and the ability to visualize findings in a simple figure is easier to digest by the wider population.Univerzita Tomáše Bati ve Zlíně, UTB, (IGA/CebiaTech/2024/003); Univerzita Tomáše Bati ve Zlíně, UT