Advances in Industrial Internet of Things, Engineering and Management

Dagmar Caga n ova , assoc. prof. in Industrial Engineering, acts as the Ambassador / Representative for Foreign Affairs at the Institute of Industrial Engineering and Management, the Faculty of Materials Science and Technology in Trnava, the Slovak University of Technology in Bratislava, Slovakia. She is also the co - founder of the European Alliance for Innovation in Slovakia, a management committee member of E-COST (European Collaboration in Science and Technology) TN 1301 Sci Generation, the executive committee member in Danubius Academic Consortium (Academic Network for Integral Innovation), a steering committee member of Danube strategy Priority Axis 7: Knowledge society - science, research, innovation and ICT for the Slovak Republic, as well as a member of iATDi (International Association for Technological Development and Innovations). Her professional interests, research topics, and international collaborations are mainly focused on Intercultural and Innovation Management, Managerial Skills, International Relationships and Diversity, Mobility and Smart Cities, and Gender Diversity. She is the member of journal editorial boards, co-editor of current content Special issues journals (MONET, WINET, Sustainability), an organiser, and a steering committee member of numerous domestic and international summits and conferences, acts as a tutor on PhD study programmes and has participated in numerous domestic and international projects as a team member and as the Project Head. She is the co-editor of Internet of Things, IoT Infrastructures 2014, part 2 and Smart City 360, 2015 published by Springer, the co-editor of Springer scientific monograph Mobility IoT 2018, 2019. To date, she has published more than 300 publications, 7 scientific monographs, 17 papers in current content journals with IF, 67papers in databases WOS and 87 in databases SCOPUS and has over 500 citations, 241 of them in quotation databases WOS and SCOPUS, h-index in WOS is 6 and SCOPUS h-index 8. 

Natália Hornáková, MSc. PhD. works as a Senior Lecturer at the Institute of Industrial Engineering and Management, the Faculty of Materials Science and Technology in Trnava, the Slovak University of Technology in Bratislava, Slovakia. N. Hornáková has received a doctorate degree at the Institute of Industrial Engineering and Management in the study branch Industrial Management. She deals with the issue of Business Logistics, Industrial Engineering and Management, Innovation Management and Managerial Skills. N. Hornáková has been a team member of several home and foreign projects including project H2020 with the title Linking Research and Innovation for Gender Equality. She is the author and co-author of several domestics and foreign publications, including scientific monographs and publications in the current content journals, such as Mobile Networks and Applications (MONET) and Wireless Networks, as well as the co-editor of Springer scientific monograph Mobility IoT 2018 and a special issue of the journal MONET with the title Smart solutions with the focus on innovations from various perspectives. During the years 2014-2015, she was an active member of the student part of the Academic Senate STU and a member of organizing committees of various international conferences. N. Hornáková is also a member of organizational and program committees of domestic and foreign conferences, as well as a member of iATDi (International Association for Technological Development and Innovations). 

Introduction.- Basic Stations Work Optimization in Cellular Communication Network.- The analysis of different materials used for an electric car charger shell under the wind influence.- Impact of ICT on Emergency Response Vehicle Driving Time in a Vicinity of Large Events.- Developing Car Accident Detecting System Based on Machine Learning Algorithms Applied to Video Recordings Data.- Smart City platform based on citizen reporting services.- Stages of  the Virtual Technical Functions Concept Networks Development.- IoT-based Household Energy Consumption Prediction Using Machine Learning.- Management Decision-Making for Logistics Systems Based on a Fuzzy-Neural Model.- Conclusion.