Tomas Bata University in Zlín
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Concept of improvement of product considering the qualitative-ecological interactions and weights of attributes
Get PDFDue to the need to adjust products to customer expectations, it is important to support these actions. Mostly, that still remains a problem in determining precisely the product criteria expected by customers. In this area, there is a need to identify the customer criteria and then process them into product criteria. In addition, it is important to include the environmental aspect so that the customer is satisfied with the landscape of the product. Therefore, the purpose was to develop a concept for product quality assessment that considers criteria relations. This concept will be created based on qualitative-ecological interactions and will also include the weights of product criteria. The proposed conception relies on combined instruments, for instance, the SMART(-ER) method, a questionnaire with comparison in pair method, AHP method, DAMATEL method, Likert scale, WPM method, and relative state scale. The idea is to support an expert in assessing any product that will be selected by an individual customer. The originality of the concept allows the identification of key technical product criteria correlated with customer expectations for utility and aesthetic criteria
The effect of a face wall on a cellular structure during bending
No full textIndustry 4.0 enabled great development in the field of technology, but it also brought with it new challenges not only in the field of digitization but also in the field of developing new materials. Scientists have realized that there are a large number of materials in nature that have good properties and are light at the same time. The chapter deals with the investigation of the influence of the front wall on the cell structure of the ‘Schwarz P’ type during bending. Porous specimens were designed in a 30% volume ratio with 10 × 10 × 10 mm unit cells distributed regularly in all three orthogonal axes. The total volume of the structure was 20 × 30 × 250 mm. They were made of plastic material PLA (polylactic acid) by FFF (fused filament fabrication) technology. Samples were made with one or two front walls in a sandwich manner, or without a wall. The three-point bending experimental test made it possible to record the dependence of the force load on the displacement. The measured data were processed and then the maximum bending stresses were calculated. The results clearly show the influence of the front wall, with the maximum stresses increasing with the number of walls, and this trend was best described by a second-order polynomial equation.Ministerstvo školstva, vedy, výskumu a športu Slovenskej republiky, (APVV-19-0550); Ministerstvo školstva, vedy, výskumu a športu Slovenskej republiky; Kultúrna a Edukacná Grantová Agentúra MŠVVaŠ SR, KEGA, (005TUKE-4/2021); Kultúrna a Edukacná Grantová Agentúra MŠVVaŠ SR, KEGA; Erasmus+, (+2021-1-PL01-KA220-HED-000031182); Erasmus
The university as heterotopia in Tabea Mußgnug's Nachstes Semester wird alles anders...
Get PDFNächstes Semester wird alles anders… (Next semester all will be different…, 2015) by Tabea Mußgnug is a student memoir that constructs the university as a Fou-cauldian heterotopia. The nameless first-person narrator, who functions as a per-sona for the author herself, tells us about her preoccupations, idiosyncrasies and anxieties, relating anecdotes from the student life of a millennial who does not seem to take her studies in the humanities or herself all too seriously. Her student memoir provides a fresh look at the university by shifting the focus of narration to a partly factual, partly ironical description of daily study routines, after-work life, and leisure time. Her confessional tone, irreverent attitude, and frequent use of clichés and stereotypes serve her narrative construction of authenticity. With Nächstes Semester wird alles anders… Mußgnug joins the ranks of those authors of campus fiction who have come to turn away from academia, emphasizing that there are more important and satisfactory things to do in life than studying or teaching at a university
Microhardness and elastic modulus of thin coatings applied via PVD and CVD techniques
No full textThis study investigates the microhardness and mechanical properties of thin coatings applied to cemented carbide cutting tools. Two primary coating techniques were examined: Physical Vapor Deposition (PVD) and Moderate Temperature Chemical Vapor Deposition (MT-CVD). PVD coatings of titanium carbonitride (TiCN) and aluminium titanium nitride (AlTiN) were applied, along with multi-layer CVD coatings consisting of TiCN, titanium carbide (TiC), and aluminium oxide (Al ₂ O₃ ). Depth-sensing indentation (DSI) tests using a Vickers indenter were conducted to determine the microhardness and elastic modulus of the coatings. The Oliver and Pharr method, was employed to analyse load-unload curves, enabling precise evaluation without direct measurement of imprint areas. The results demonstrated that TiCN coatings applied via PVD exhibited the highest microhardness as a complex is 2857 HVIT and elastic modulus among all tested samples is 649 GPa. This superior performance indicates enhanced wear resistance and mechanical stability, which are critical for extending the lifespan and efficiency of cutting tools. While multi-layer CVD coatings also offered benefits, their overall performance was inferior to that of TiCN PVD coatings
Embracing intelligent insights: Unveiling investor adoption of AI advice and risk appetite
Get PDFThis paper aims to reveal the factors influencing investors' intention to accept AI advice in financial decision-making. By integrating the Theory of Planned Behavior (TPB) and the Technology Acceptance Model (TAM), it proposes a comprehensive model that elucidates the intricate relationships between social norms, attitude, perceived behavioral control, and the intention to accept AI advice, with a particular focus on examining risk tolerance as a moderating factor. A questionnaire survey was conducted with 569 Vietnamese investors to collect data in three different times. Partial least squares structural equation modeling (PLS-SEM) was utilized to analyze the measurement model and test the hypotheses. Results indicate that perceived usefulness, perceived ease of use, attitude, subjective norms, and perceived behavioral control positively influence the intention to accept AI advice. Furthermore, risk tolerance significantly moderates the link between attitude, subjective norms, perceived behavioral control, and intention to accept AI advice. This pioneering study introduces a comprehensive model unveiling the dynamics of AI advice acceptance in finance. It explores the novel concept of risk tolerance as a moderator, marking an important step in understanding human-AI interaction for financial decisions. Findings provide valuable insights into evolving AI adoption, especially in high-risk contexts
Physicochemical, antioxidant and mineral composition of cascara beverage prepared by cold brewing
Get PDFResearch background. Cascara, the dried husk of coffee cherries, has attracted attention as a potential beverage due to its unique flavour profile and potential health benefits. Traditionally, cascara is prepared using hot brewing methods. However, recent interest in cold brewing methods has led to research on how temperature affects the functional properties of cascara beverages. Experimental approach. Colour (CIE L*a*b*), total dissolved solids and titratable acidity were determined in cascara beverages prepared at 5, 10, 15 and 20 °C. The concentration of phenols and flavonoids, as well as antioxidant properties were evaluated using spectrophotometric methods. Caffeine, chlorogenic acid and melanoidins were quantified by HPLC. The mineral composition was determined using inductively coupled plasma mass spectrometry (ICP-MS). The results were compared with a hot-brewed cascara beverage. Results and conclusions. Cold brewing resulted in significantly higher concentrations of total phenolic compounds, expressed as gallic acid equivalents (ranging from 309 to 354 mg/L), total flavonoids, expressed as quercetin equivalents (11.8–13.6 mg/L), and caffeine (123–136 mg/L) than the hot-brewed cascara beverage sample (p<0.05). Temperature had a noticeable effect on most variables, although the effect appeared to be ran-dom. In particular, concentrations of caffeine (p<0.01) and copper (p<0.001) were highest in beverages prepared at 20 °C and decreased with decreasing brewing temperature. Multivariate analysis showed that minerals (As, Co, Mn, Sn, Mg and Ca), hue and phenolic concentration contributed to the first principal component, which mainly differentiated the hot-brewed sample. Antioxidant-related variables, total titratable acidity and Se contributed most to the second principal component, which facilitated the separation of samples brewed at 5 °C. Novelty and scientific contribution. To our knowledge, this is the first study to suggest that temperature affects the functional properties of cascara beverage produced by the cold brewing method. Experimental evidence supports the existence of a direct proportionality between caffeine and copper concentrations and brewing temperature
Influence of phosphite and phosphate fertilisers at three different pH levels under a floating system on the growth, yield, and nutrient concentration of broccoli
Get PDFThis study was conducted to determine the effects of phosphite and phosphate fertilisers on broccoli's yield, growth, and nutritional status (Brassica oleracea L. var. italica cv. 'Fiorentino'). In factorial combinations, experiments were conducted at three pH levels (5.5, 7.0, and 8.5) and three phosphorus source levels [Pi (phosphate), Phi (phosphite), and Pi + Phi]. Phi had a statistically significant negative effect on yield, producing immature and button-like flower heads. Decreases in chlorophyll index, Fv/Fm [ratio of variable fluorescence (Fv) to maximum fluorescence (Fm)], and leaf area were observed using the Phi treatment. These results indicate that fertilisation with Phi alone did not affect plant growth and yield. P (phosphorus) and K (potassium) concentrations in plants were increased by root fertilisation with Phi (floating system), but did not affect growth characteristics; increased Pi uptake in Phi-treated plants increased P and K concentrations in the sink source, resulting in reduced growth, phytotoxicity, and no head formation. While it may appear that Phi is upsetting the balance of solution nutrients and stressing the plants, the Phi-induced stress condition was identified by measuring proline levels and electrolyte leakage. Thus, phosphite could not be used as a P source for plants. However, Phi could be used as a plant nutrient source combined with conventional Pi fertilisers
Performance evaluation of embedded speed control system for DC motor using remote closed-loop control system
No full textThis paper provides a performance evaluation of an embedded platform for a virtual remote access laboratory. The benchmark problem of speed control of a DC motor is considered for the laboratory experiment. The embedded platform is connected to a single-board computer running a Python-based control algorithm using USB protocol, and it can be accessed from multiple sources using a remote access facility. This work provides a detailed analysis of the embedded platform along with experimental results and analysis
Computational intelligence and wavelet transform in walk symmetry analysis using accelerometers
No full textComputational intelligence and digital signal processing methods are fundamental mathematical tools widely used in biomedical and engineering applications. Gait symmetry analysis plays a very important role in detecting motion disorders in neurology, rehabilitation, and sports performance. This study focuses on data acquisition using a set of accelerometric sensors to record motion dynamics, ensure time synchronization of signals, and extract features for recognizing distinct motion patterns. The proposed methodology incorporates spectral analysis and digital filtering techniques to eliminate noise and irrelevant frequency components. Motion symmetry analysis is performed using energy distribution, calculated by discrete Fourier and wavelet transforms, with a focus on detailed coefficients at a specified decomposition level. Symmetry estimation is achieved by analyzing the ratio of energy within wavelet bands corresponding to the left and right sides of the body. Furthermore, spatial pattern distribution is analyzed to identify motion asymmetry, with artificial intelligence techniques employed for its evaluation. These results demonstrate the potential of computational intel-ligence in clinical diagnostics of specific neurological disorders.This investigation was reinforced by the European Union under the project ROBOPROX (reg. no. CZ.02.01.01/00/22 008/0004590) in the area of machine learning. The research related to sensor technology was supported by Operational Programme Johannes Amos Comenius financed by European Structural and Investment Funds and the Czech Ministry of Education, Youth and Sports (Project No. SENDISO - CZ.02.01.01/00/22 008/0004596)
Competence gap analysis of early-career Quality Engineers in the field of Quality 4.0
No full textPurpose: The purpose of the paper is to propose a methodology for identification of competence gaps of Quality Engineers in the field of Quality 4.0 and apply it in the selected organisations, which have digital strategies. Based on the results of the Quality 4.0 competencies assessment of early career Quality Engineers, the main weaknesses were identified, which need to be considered and addressed by Higher Education Institutions providing education in the field of Quality Engineering and Management.
Design/methodology/approach: The structured online questionnaire containing 23 Quality 4.0 competencies was developed based on the literature review and interviews with the representatives of the organisations operating in the automotive industry. The respondents were graduates of the Quality of Production study field who are in their early career path (from 1 to 3 years after graduation) and work in the positions of Quality Engineers. The collected data were evaluated based on the proposed methodology enabling the calculation of Gap Indexes for individual competencies and competence categories.
Findings: The lowest value of the Gap Index from the four competence categories was calculated for technical competencies (respondents from Tier 1–64% and Tier 2–69%) and subsequently for methodological competencies (Tier 1–75% and Tier 2–74%). Among the most problematic domains that Higher Education Institutions have to address are big data and machine learning knowledge and skills, interdisciplinary knowledge and teamwork, critical thinking, problem-solving, agile project management knowledge and skills and resilience capability.
Originality/value: The study contributes to the existing body of knowledge in the field of competencies for Quality 4.0. It provides the methodology that enables systematic examination of competence gaps. Subsequently, it shows he practical application of the methodology to define competence gaps of Quality Engineers in the field of Quality 4.0. The findings bring implications for Higher Education Institutions in the context of the development of required competencies and deployment of suitable education methods.Funding: The study was funded by the Ministry of Education, Youth and Sports of the Czech Republic, grant number -SP2025/095.Ministry of Education, Youth and Sports of the Czech Republic [SP2025/095