Advances in industrial internet of things, engineering and management / / editors, Dagmar Cagáňová [et al.]

• Pubblicazione: Cham, Switzerland : , : Springer, , [2021]; ©2021
• Descrizione fisica: 1 online resource (204 pages)
• Disciplina: 004.678
• Soggetto topico: Industrial engineering; Internet of things
• Persona (resp. second.): CagáňováDagmar
• Nota di contenuto: Intro -- Preface -- Contents -- Basic Stations Work Optimization in Cellular Communication Network -- 1 Introduction -- 2 Analysis of Recent Research and Publications -- 3 Material and Method -- 4 Results -- 5 Conclusions -- References -- Impact of ICT on Emergency Response Vehicle Driving Time in a Vicinity of Large Events -- 1 Introduction -- 1.1 Overview of Traffic Control Approaches -- 1.2 Overview of Current Emergency Vehicle Warning Systems -- 1.2.1 Visual Warning Systems -- 1.2.2 Markings -- 1.2.3 Audible Warning Systems -- 1.3 Overview of Cooperative ITS and ITS Applications -- 1.3.1 V2X Applications -- 1.4 Communication Technologies for Connected Vehicles -- 2 Traffic Flow Model -- 3 Communication Architecture -- 4 Simulation Scenarios -- 5 Simulation Results -- 6 Conclusion and Further Work -- References -- The Specifics of the Retail Network and Consumer Shopping Behaviour in Selected Regional Towns of West Slovakia -- 1 Introduction -- 2 Theoretical Background -- 3 Research, Methodology, Data, and Research Area -- 4 Survey Results -- 4.1 Development Stages of the Retail Network After 1989 -- 4.2 Spatial Configurations of the Retail Network of Selected Regional Cities According to PAFS -- 4.3 Specifics of Attendance of Preferred Retail Centres: Popularity -- 5 Conclusions -- References -- Developing Car Accident Detecting System Based on Machine Learning Algorithms Applied to Video Recordings Data -- 1 Relevance of Developing Car Accident Detecting Systems -- 1.1 Meaning and Potential of the Problem for Russia -- 1.2 Existing Car Accident Detecting Systems -- 1.2.1 Anticipating Accidents in Dashcam Videos -- 1.2.2 CrashCatcher -- 2 Building Neural Network -- 2.1 Design of the System. Used Tools -- 2.2 Network Architecture -- 2.3 Building Methods -- 2.3.1 Using Pre-trained Neural Network -- 2.3.2 Extension Data with Augmentation. ; 2.3.3 Fine-Tuning -- 3 Car Accident Detecting System Using Data from Video Recording -- 3.1 Dataset -- 3.2 Data Pre-processing -- 3.3 Results of Numerical Experiments -- 4 Conclusion and Outlook -- References -- Smart City Platform Based on Citizen Reporting Services -- 1 Introduction -- 2 Related Work -- 2.1 Smart City -- 2.2 Citizen Incident Reporting -- 3 CitiSim Concept -- 4 CitiSim Citizen Incident Reporting -- 5 Conclusions -- References -- Creativity of Different Managerial Generation Groups in the Slovak Industrial Enterprises -- 1 Introduction -- 2 The Current Situation of Employees on the Labour Market in the Slovak Republic -- 3 Materials and Methods -- 3.1 The Research Sample and Data Collection Tools -- 3.2 The Research Methods -- 3.3 The Research Question (RQ) -- 4 Results and Discussion -- 5 Conclusion -- References -- Stages of the Virtual Technical Functions Concept Networks Development -- 1 Introduction -- 2 Literature Review -- 3 Research Methodology -- 4 Results -- 5 Conclusions -- References -- IoT-Based Household Energy Consumption Prediction Using Machine Learning -- 1 Introduction -- 2 Related Work -- 3 The Proposed Energy Consumption Prediction Framework -- 3.1 Data Collection Layer -- 3.2 Pre-processing Layer -- 3.3 Prediction Layer -- 3.3.1 K-Nearest Neighbour -- 3.3.2 Multilayer Perceptron -- 3.3.3 Long Short-Term Memory -- 3.4 Performance Evaluation Layer -- 4 Experimental Setup -- 5 Experimental Results -- 6 Conclusion -- References -- The Analysis of Different Materials Used for an Electric Car Charger Shell Under the Wind Influence -- 1 Introduction -- 2 Material and Methods -- 3 Results and Discussions -- 4 Conclusions -- References -- Improvement of Hydraulic Characteristics for Impellers Using the Finite Volume Analysis -- 1 Introduction -- 2 Literature Review -- 3 Research Methodology -- 4 Results -- 5 Conclusions. ; References -- Management Decision-Making for Logistics Systems Using a Fuzzy-Neural Simulation -- 1 Introduction -- 2 Literature Review -- 3 Research Methodology -- 4 Results -- 4.1 Practical Aspects -- 4.2 Assessment of Maximal Port Capacity in Trucks at an Hour According to Technical Features of Infrastructure -- 4.3 Definition of Necessity Port Capacity in Trucks at an Hour Based on Coordinated Interactions of Vehicles and Transshipment Mechanisms -- 4.4 Calculation of Actual Port Capacity in Trucks at Hour Based on Results of Cargo Overload Volumes Forecast According to Fuzzy-Neural Model -- 5 Discussion -- 6 Conclusions -- References -- Index.
• Sommario/riassunto: This book presents the trends, challenges, and advances in Internet of Things (IoT) in the areas of industrial management and industrial engineering. The authors look at how smart environments (smart city, smart university, smart regions, smart transportation, etc.) affect the way industrial management and industrial engineering are envisioned, planned, and applied and how engineers must incorporate new ideas and methods now and in the future. Some topics include the impact of ICT on the emergency response vehicle driving time, car accident detecting systems based on machine learning algorithms, smart city platforms based on citizen reporting services, and IoT-based household energy consumption prediction using machine learning. The book brings together contributions from academics and practitioners from around the world to discuss the intersection of IoT, industry and management. Discusses how industrial management and industrial engineering are affected by IoT; Addresses common questions about the growing connectedness of global and modern societies; Features contributions from experts in Industrial Engineering, Modern Management, and Industrial IoT.
• Titolo autorizzato: Advances in Industrial Internet of Things, Engineering and Management
• ISBN: 3-030-69705-3
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910484069403321
• Lo trovi qui: Univ. Federico II
• Serie: EAI/Springer innovations in communication and computing