18 research outputs found
Blockchain Technology for Intelligent Transportation Systems: A Systematic Literature Review
The use of Blockchain technology has recently become widespread. It has emerged as an essential tool in various academic and industrial fields, such as healthcare, transportation, finance, cybersecurity, and supply chain management. It is regarded as a decentralized, trustworthy, secure, transparent, and immutable solution that innovates data sharing and management. This survey aims to provide a systematic review of Blockchain application to intelligent transportation systems in general and the Internet of Vehicles (IoV) in particular. The survey is divided into four main parts. First, the Blockchain technology including its opportunities, relative taxonomies, and applications is introduced; basic cryptography is also discussed. Next, the evolution of Blockchain is presented, starting from the primary phase of pre-Bitcoin (fundamentally characterized by classic cryptography systems), followed by the Blockchain 1.0 phase, (characterized by Bitcoin implementation and common consensus protocols), and finally, the Blockchain 2.0 phase (characterized by the implementation of smart contracts, Ethereum, and Hyperledger). We compared and identified the strengths and limitations of each of these implementations. Then, the state of the art of Blockchain-based IoV solutions (BIoV) is explored by referring to a large and trusted source database from the Scopus data bank. For a well-structured and clear discussion, the reviewed literature is classified according to the research direction and implemented IoV layer. Useful tables, statistics, and analysis are also presented. Finally, the open problems and future directions in BIoV research are summarized
Technologies and Applications for Big Data Value
This open access book explores cutting-edge solutions and best practices for big data and data-driven AI applications for the data-driven economy. It provides the reader with a basis for understanding how technical issues can be overcome to offer real-world solutions to major industrial areas. The book starts with an introductory chapter that provides an overview of the book by positioning the following chapters in terms of their contributions to technology frameworks which are key elements of the Big Data Value Public-Private Partnership and the upcoming Partnership on AI, Data and Robotics. The remainder of the book is then arranged in two parts. The first part âTechnologies and Methodsâ contains horizontal contributions of technologies and methods that enable data value chains to be applied in any sector. The second part âProcesses and Applicationsâ details experience reports and lessons from using big data and data-driven approaches in processes and applications. Its chapters are co-authored with industry experts and cover domains including health, law, finance, retail, manufacturing, mobility, and smart cities. Contributions emanate from the Big Data Value Public-Private Partnership and the Big Data Value Association, which have acted as the European data community's nucleus to bring together businesses with leading researchers to harness the value of data to benefit society, business, science, and industry. The book is of interest to two primary audiences, first, undergraduate and postgraduate students and researchers in various fields, including big data, data science, data engineering, and machine learning and AI. Second, practitioners and industry experts engaged in data-driven systems, software design and deployment projects who are interested in employing these advanced methods to address real-world problems
Technologies and Applications for Big Data Value
This open access book explores cutting-edge solutions and best practices for big data and data-driven AI applications for the data-driven economy. It provides the reader with a basis for understanding how technical issues can be overcome to offer real-world solutions to major industrial areas. The book starts with an introductory chapter that provides an overview of the book by positioning the following chapters in terms of their contributions to technology frameworks which are key elements of the Big Data Value Public-Private Partnership and the upcoming Partnership on AI, Data and Robotics. The remainder of the book is then arranged in two parts. The first part âTechnologies and Methodsâ contains horizontal contributions of technologies and methods that enable data value chains to be applied in any sector. The second part âProcesses and Applicationsâ details experience reports and lessons from using big data and data-driven approaches in processes and applications. Its chapters are co-authored with industry experts and cover domains including health, law, finance, retail, manufacturing, mobility, and smart cities. Contributions emanate from the Big Data Value Public-Private Partnership and the Big Data Value Association, which have acted as the European data community's nucleus to bring together businesses with leading researchers to harness the value of data to benefit society, business, science, and industry. The book is of interest to two primary audiences, first, undergraduate and postgraduate students and researchers in various fields, including big data, data science, data engineering, and machine learning and AI. Second, practitioners and industry experts engaged in data-driven systems, software design and deployment projects who are interested in employing these advanced methods to address real-world problems
Pandemic economic crisis: essence, reasons, comparative characteristics, opportunities
Before pandemic the world economy had a pre-crisis situation which was characterized by unprecedented imbalances in the global financial and economic system, the lack of growth in world GDP, which posed a real threat to the world economic order. Almost all global analysts predicted a global economic crisis at the end of 2019. For the first time since time immemorial, bank interest rates in all countries have dropped to unprecedented low levels. Often interest rates were 0% or even negative. The EUâs financial system has been so disfigured by the VAT tax that fraud with this tax has reached a scale far exceeding hundreds of billions EUR and in fact got out of control of the authorities
New trends in the economic systems management in the context of modern global challenges
New trends in the economic systems management in the context of modern global challenges: collective monograph / scientific edited by M. Bezpartochnyi, in 2 Vol. // VUZF University of Finance, Business and Entrepreneurship. â Sofia: VUZF Publishing House âSt. Grigorii Bogoslovâ, 2020. â Vol. 1. â 309 p
13th International Conference on Modeling, Optimization and Simulation - MOSIM 2020
ComitĂ© dâorganisation: UniversitĂ© Internationale dâAgadir â Agadir (Maroc) Laboratoire Conception Fabrication Commande â Metz (France)Session RS-1 âSimulation et Optimisationâ / âSimulation and Optimizationâ Session RS-2 âPlanification des Besoins MatiĂšres PilotĂ©e par la Demandeâ / âDemand-Driven Material Requirements Planningâ Session RS-3 âIngĂ©nierie de SystĂšmes BasĂ©es sur les ModĂšlesâ / âModel-Based System Engineeringâ Session RS-4 âRecherche OpĂ©rationnelle en Gestion de Productionâ / "Operations Research in Production Management" Session RS-5 "Planification des MatiĂšres et des Ressources / Planification de la Productionâ / âMaterial and Resource Planning / Production Planning" Session RS-6 âMaintenance Industrielleâ / âIndustrial Maintenanceâ Session RS-7 "Etudes de Cas Industrielsâ / âIndustrial Case Studies" Session RS-8 "DonnĂ©es de Masse / Analyse de DonnĂ©esâ / âBig Data / Data Analytics" Session RS-9 "Gestion des SystĂšmes de Transportâ / âTransportation System Management" Session RS-10 "Economie Circulaire / DĂ©veloppement Durable" / "Circular Economie / Sustainable Development" Session RS-11 "Conception et Gestion des ChaĂźnes Logistiquesâ / âSupply Chain Design and Management" Session SP-1 âIntelligence Artificielle & Analyse de DonnĂ©es pour la Production 4.0â / âArtificial Intelligence & Data Analytics in Manufacturing 4.0â Session SP-2 âGestion des Risques en Logistiqueâ / âRisk Management in Logisticsâ Session SP-3 âGestion des Risques et Evaluation de Performanceâ / âRisk Management and Performance Assessmentâ Session SP-4 "Indicateurs ClĂ©s de Performance 4.0 et Dynamique de Prise de DĂ©cisionâ / â4.0 Key Performance Indicators and Decision-Making Dynamics" Session SP-5 "Logistique Maritimeâ / âMarine Logistics" Session SP-6 âTerritoire et Logistique : Un SystĂšme Complexeâ / âTerritory and Logistics: A Complex Systemâ Session SP-7 "Nouvelles AvancĂ©es et Applications de la Logique Floue en Production Durable et en Logistiqueâ / âRecent Advances and Fuzzy-Logic Applications in Sustainable Manufacturing and Logistics" Session SP-8 âGestion des Soins de SantĂ©â / âHealth Care Managementâ Session SP-9 âIngĂ©nierie Organisationnelle et Gestion de la ContinuitĂ© de Service des SystĂšmes de SantĂ© dans lâEre de la Transformation NumĂ©rique de la SociĂ©tĂ©â / âOrganizational Engineering and Management of Business Continuity of Healthcare Systems in the Era of Numerical Society Transformationâ Session SP-10 âPlanification et Commande de la Production pour lâIndustrie 4.0â / âProduction Planning and Control for Industry 4.0â Session SP-11 âOptimisation des SystĂšmes de Production dans le Contexte 4.0 Utilisant lâAmĂ©lioration Continueâ / âProduction System Optimization in 4.0 Context Using Continuous Improvementâ Session SP-12 âDĂ©fis pour la Conception des SystĂšmes de Production Cyber-Physiquesâ / âChallenges for the Design of Cyber Physical Production Systemsâ Session SP-13 âProduction AvisĂ©e et DĂ©veloppement Durableâ / âSmart Manufacturing and Sustainable Developmentâ Session SP-14 âLâHumain dans lâUsine du Futurâ / âHuman in the Factory of the Futureâ Session SP-15 âOrdonnancement et PrĂ©vision de ChaĂźnes Logistiques RĂ©silientesâ / âScheduling and Forecasting for Resilient Supply Chains
5th International Conference on Advanced Research Methods and Analytics (CARMA 2023)
Research methods in economics and social sciences are evolving with the increasing availability of Internet and Big Data sources of information. As these sources, methods, and applications become more interdisciplinary, the 5th International Conference on Advanced Research Methods and Analytics (CARMA) is a forum for researchers and practitioners to exchange ideas and advances on how emerging research methods and sources are applied to different fields of social sciences as well as to discuss current and future challenges.MartĂnez Torres, MDR.; Toral MarĂn, S. (2023). 5th International Conference on Advanced Research Methods and Analytics (CARMA 2023). Editorial Universitat PolitĂšcnica de ValĂšncia. https://doi.org/10.4995/CARMA2023.2023.1700
Municipal Wastewater Management
Taking the papersâ collection of this Special Issue as a whole, it is clear that âMunicipal Wastewater Managementâ is an ongoing field of research with the ability to incorporate current environmental and human health challenges. The use of municipal sewage to monitor COVID-19 virus circulation in communities and the estimation of possible outbreaks, even before clinical cases have been identified, is a fact that justifies this. In light of the Coronavirus pandemic, the interest of the impact that research on municipal wastewater management can have on improving humansâ health and protecting the environment is being rethought. In respect to this, there is an essential need for scientific publications that present varieties of case studies and discuss best practices, so as wastewater treatment plants to be seen not only as sites of pollutants removal but also as places where energy is efficiently used and environmental sustainability is being practiced, in close relation to the needs of the community. Viewed in this way, the papersâ collected in this Special Issue are looking forward to reach a broad readership that can gain awareness and understanding of their topics and be stimulated into future research and collaborations that would improve all stakeholders engagement in promoting a sustainable municipal wastewater management