Tomas Bata University in Zlín
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Comparing multiple linear regression, deep learning and multiple perceptron for functional points estimation
Get PDFThis study compares the performance of Pytorch-based Deep Learning, Multiple Perceptron Neural Networks with Multiple Linear Regression in terms of software effort estimations based on function point analysis. This study investigates Adjusted Function Points, Function Point Categories, Industry Sector, and Relative Size. The ISBSG dataset (version 2020/R1) is used as the historical dataset. The effort estimation performance is compared among multiple models by evaluating a prediction level of 0.30 and standardized accuracy. According to the findings, the Multiple Perceptron Neural Network based on Adjusted Function Points combined with Industry Sector predictors yielded 53% and 61% in terms of standardized accuracy and a prediction level of 0.30, respectively. The findings of Pytorch-based Deep Learning are similar to Multiple Perceptron Neural Networks, with even better results than that, with standardized accuracy and a prediction level of 0.30, 72% and 72%, respectively. The results reveal that both the Pytorch-based Deep Learning and Multiple Perceptron model outperformed Multiple Linear Regression and baseline models using the experimental dataset. Furthermore, in the studied dataset, Adjusted Function Points may not contribute to higher accuracy than Function Point Categories.Faculty of Applied Informatics, Tomas Bata University in Zlin [IGA/CebiaTech/2022/001, RVO/FAI/2021/002
Powder injection molded ceramic scaffolds: The role of pores size and surface functionalization on the cytocompatibility
Get PDFThe alumina-based scaffolds prepared by powder injection molding can be preferentially used for preparation of bone grafts. Here, the final architecture of alumina scaffolds was efficiently controlled by powder space holder size and volume ratio. The alumina is not intrinsically cell-instructive material and thus the coating with electrically-conducting polyaniline or polyaniline/biopolymer films prepared in a colloidal dispersion mode was used to provide this advanced property. The component of the extracellular matrix, sodium hyaluronate, or natural biopolymers (sodium alginate or chitosan) were employed, and, subsequently, the cytocompatibility of the native and functionalized alumina scaffolds were determined. Both the absence of cytotoxicity and the cytocompatibility that were revealed demonstrate the application potential of these composites. The scaffolds with pore size greater than 250 µm were more cytocompatibility than those with pores size between 125 and 250 µm. The cytocompatibility was confirmed under in vivo-mimicking dynamic cultivation conditions which further improve the cell distribution and growth. © 2022 The AuthorsRP/CPS/2022/001, RP/CPS/2022/003; CZ.02.2.69/0.0/0.0/19_073/0016941, JUNG-2020-001; Ministerstvo Školství, Mládeže a Tělovýchovy, MŠMT; Grantová Agentura České Republiky, GA ČR: 20-28732Sproject OP RDE Junior Grants of TBU in Zlin [20-28732S]; Czech Science Foundation [RP/CPS/2022/001]; Ministry of Education, Youth and Sports of the Czech Republic [RP/CPS/2022/003]; [CZ.02.2.69/0.0/0.0/19_073/001694 1
The role of open innovation in fostering SMEs' business model innovation during the COVID-19 pandemic
Get PDFPurpose The economic crisis triggered by the COVID-19 pandemic has had significant consequences on the activities of companies worldwide. This study aims to unveil how open innovation fostered business model innovation in small and medium enterprises (SMEs) during the pandemic. Design/methodology/approach The research adopts a qualitative approach, involving a multiple case study methodology, and focusses on six SMEs operating in various traditional sectors. Findings The findings highlight the impact of the external stimulus, COVID-19, on business model innovation and the key role of open innovation management in pursuing the business model innovation, which may also involve a digital transformation. Originality/value While some studies have examined how the pandemic has fostered business model transformation, to the best of the authors' knowledge, this is the first study analysing the pivotal role of open innovation in driving business model innovation during challenging times, such as the COVID-19 pandemic
Study of factors influencing vibro-isolating properties of materials for passive elastic bearing of machines
Get PDFMachinery or instruments are subjected to external forces from a base in many cases. It can have a negative influence on manufacturing accuracy, tightness, wear of machine parts, work safety etc. Therefore, it is necessary to perform suitable passive elastic bearings of machinery to eliminate external vibration from the base. An application of suitable vibro-isolating materials is one way of the vibration elimination. The aim of the paper is to study vibration damping properties of different materials by means of a non-destructive method of forced mechanical oscillations. Different factors influencing transfer damping of mechanical vibration were investigated in this work, e.g., material type and its thickness, excitation frequency of mechanical oscillations, size of mass load and effect of material composition. These factors were subsequently evaluated. Finally, suitable recommendations for passive damping of mechanical vibration were described.European Regional Development Fund in the Research Centre of Advanced Mechatronic Systems project [CZ.02.1.01/0.0/0.0/16_019/0000867
Does brand personality mediate the link between social media usage and customer buying decisions on telecommunication's products and services? Evidence from Ghana
Get PDFSocial media marketing has vastly benefitted businesses, including the development of brand identity via solid communication channels. Innovative marketing tools have proven effective among service and non-service-based businesses. This study examines the impact of social media on customer buying decisions via brand personality attributes among telecom products (e.g., mobile phones, sim cards, and data subscriptions) in Ghana. A positivist research paradigm with a non-probability sampling were deployed to achieve study goals. A structured questionnaire was designed to collect the data from subscribers of the telecom giants (MTN, Vodafone, and Airtel-Tigo) in the capital of Ghana through a non-probability sampling technique (snowball/referral method). Both self-administered and online survey (link) were deployed with strict adherence to Covid-19 protocols. A valid data set of 414 (representing 82% of response rate) from 507 responses was received for data processing. PLS-SEM was applied to analyze the study hypothesis. The study identified five main brand personality attributes (i.e., brand sincerity, brand excitement, brand competence, brand sophistication, and brand ruggedness) as mediators of the proposed framework. The study found that brand sincerity, brand excitement, and brand competence played a significant mediation effect on the relationship between social media usage and customer buying decisions, whereas brand sophistication and brand ruggedness did not. The findings suggest that brand management plays an interconnected role in customer decision-making in which brand practitioners should take a keynote regarding their strategic marketing decisions. Finally, the paper recommends that future research consider a mixed approach to offer an in-depth analysis.Tomas Bata University in Zlin [IGA/FAME/2022/010, IGA/FAME/2021/005-Significant]Tomas Bata University in Zlin, TBU: IGA/FAME/2021/005-Significan
Engine emissions with air pollutants and greenhouse gases and their control technologies
Get PDFDiesel and gasoline are the most used fossil fuels due to their high energy release and low cost for engines. However, the emission of air pollutants and greenhouse gases has caused severe environmental issues, and emission regulations are becoming stricter. Recently, several advances in emission control technologies for fossil fuel engines have been available, which need to be reviewed to manifest future research. Here, we reviewed the primary pollutants emitted from the diesel and gasoline-powered engines, their formation process, and the present technologies to control the emissions of greenhouse gases and air pollutants, especially during the COVID-19 pandemic. In this regard, this review concentrates on a particular matter (PM2.5 and PM10), carbon monoxide (CO), nitrogen oxides (NOx), unburned hydrocarbons (UHC), and greenhouse gases (water vapor, CO2, N2O, etc.) as exhaust emissions, the difficulties they cause, and the strategies employed to reduce emissions. This review also provides a framework for understanding how to reduce air pollution and greenhouse gasses generated by diesel and gasoline-powered engines
Evaluation of the most important fire threats of the building
No full textThe article deals with analysing the most important threats in industrial buildings and also evaluates the top 12 most important threats using a quantitative and qualitative threat analysis method, dividing them into primary, secondary and tertiary according to their significance. Based on the results, preventive measures can be created and applied for the most important threats that could significantly affect the proper operation of the building. © 2022 IEEE.Univerzita Tomáše Bati ve Zlíně: IGA/CebiaTech/2022/00
Educational platform for personal and community protection situations from the perspective of soft targets - Self-defense part
No full textThis article is focused on one part of the created educational platform for personal and community protection situations, specifically on self-defense. The platform aims to methodically and systematically support the education of citizens in four basic areas - self-defense, crisis communication, first aid and detection of suspicious behavior. The main idea is that citizens are on the scene of a violent attack and can react immediately before the arrival of the integrated rescue system. Our motivation is to provide a tool to test your existing knowledge, test your reactions to selected security incidents and learn something new. © 2022 IEEE.Tomas Bata University in Zlin, TBU: NoIGA/CebiaTech/2022/00
Imprinting of different types of graphene oxide with metal cations
Get PDFIt is known that graphene oxide (GO) particles bear negatively charged oxygen moieties which can interact with cations, what has been several times employed in fabrication of electrochemical sensors for metals. In this work, for the first time GO was treated with Cu2+, Cd2+ or Pb2+ cations in a way similar to the ion imprinting by simple incubation of the two components and the synthesized nanomaterials were then deposited on carbon electrode surface forming electrochemical sensors towards lead cations. It was found that simple filtration of GO is very efficient way for collection of GO particles that could be imprinted most efficiently in terms of high electrochemical response towards lead cations. Part of the success also lies in high redox potential of Cu2+ that turned to be the best choice for the GO imprinting. It was also proven that the electrodes modified with ion-imprinted GO could work as the sensors of Pb2+ in drop amount of solution as well as they provide stable response under flowthrough cell conditions suitable, for example, for online monitoring of water quality.Grantová Agentura České Republiky, GA ČR: GAČR 20–27735YCzech science foundation [GA.CR 20-27735Y]Czech science foundation [GAC ?, R 20 - 27735Y
Recent advances in the removal of organic dyes from aqueous media with conducting polymers, polyaniline and polypyrrole, and their composites
Get PDFWater pollution by organic dyes, and its remediation, is an important environmental issue associated with ever-increasing scientific interest. Conducting polymers have recently come to the forefront as advanced agents for removing dye. The present review reports on the progress represented by the literature published in 2020-2022 on the application of conducting polymers and their composites in the removal of dyes from aqueous media. Two composites, incorporating the most important polymers, polyaniline, and polypyrrole, have been used as efficient dye adsorbents or photocatalysts of dye decomposition. The recent application trends are outlined, and future uses also exploiting the electrical and electrochemical properties of conducting polymers are offered.Foundation for Sarcoidosis Research, FSR: AD 70202001026/1100; Ministerstvo Školství, Mládeže a Tělovýchovy, MŠM