Ricardo Jardim-Gonçalves – författare

Interoperability: the ability of a system or a product to work with other systems or products without special effort from the user is a key issue in manufacturing and industrial enterprise generally. It is fundamental to the production of goods and services quickly and at low cost at the same time as maintaining levels of quality and customisation. Composed of over 90 papers, Enterprise Interoperability II ranges from academic research through case studies to industrial and administrative experience of interoperability. The international nature of the authorship continues to broaden. Many of the papers have examples and illustrations calculated to deepen understanding and generate new ideas.A concise reference to the state of the art in software interoperability, Enterprise Interoperability II will be of great value to engineers and computer scientists working in manufacturing and other process industries and to software engineers and electronic and manufacturing engineers working in the academic environment.

Interoperability: the ability of a system or a product to work with other systems or products without special effort from the user is a key issue in manufacturing and industrial enterprise generally. It is fundamental to the production of goods and services quickly and at low cost at the same time as maintaining levels of quality and customisation. Composed of over 90 papers, Enterprise Interoperability II ranges from academic research through case studies to industrial and administrative experience of interoperability. The international nature of the authorship continues to broaden. Many of the papers have examples and illustrations calculated to deepen understanding and generate new ideas.A concise reference to the state of the art in software interoperability, Enterprise Interoperability II will be of great value to engineers and computer scientists working in manufacturing and other process industries and to software engineers and electronic and manufacturing engineers working in the academic environment.

From artificial neural net / game theory / semantic applications, to modeling tools, smart manufacturing systems, and data science research – this book offers a broad overview of modern intelligent methods and applications of machine learning, evolutionary computation, Industry 4.0 technologies, and autonomous agents leading to the Internet of Things and potentially a new technological revolution. Though chiefly intended for IT professionals, it will also help a broad range of users of future emerging technologies adapt to the new smart / intelligent wave. In separate chapters, the book highlights fourteen successful examples of recent advances in the rapidly evolving area of intelligent systems. Covering major European projects paving the way to a serious smart / intelligent collaboration, the chapters explore e.g. cyber-security issues, 3D digitization, aerial robots, and SMEs that have introduced cyber-physical production systems. Taken together, they offer unique insights into contemporary artificial intelligence and its potential for innovation.

From artificial neural net / game theory / semantic applications, to modeling tools, smart manufacturing systems, and data science research – this book offers a broad overview of modern intelligent methods and applications of machine learning, evolutionary computation, Industry 4.0 technologies, and autonomous agents leading to the Internet of Things and potentially a new technological revolution. Though chiefly intended for IT professionals, it will also help a broad range of users of future emerging technologies adapt to the new smart / intelligent wave. In separate chapters, the book highlights fourteen successful examples of recent advances in the rapidly evolving area of intelligent systems. Covering major European projects paving the way to a serious smart / intelligent collaboration, the chapters explore e.g. cyber-security issues, 3D digitization, aerial robots, and SMEs that have introduced cyber-physical production systems. Taken together, they offer unique insights into contemporary artificial intelligence and its potential for innovation.

From artificial neural net / game theory / semantic applications, to modeling tools, smart manufacturing systems, and data science research – this book offers a broad overview of modern intelligent methods and applications of machine learning, evolutionary computation, Industry 4.0 technologies, and autonomous agents leading to the Internet of Things and potentially a new technological revolution. Though chiefly intended for IT professionals, it will also help a broad range of users of future emerging technologies adapt to the new smart / intelligent wave. In separate chapters, the book highlights fourteen successful examples of recent advances in the rapidly evolving area of intelligent systems. Covering major European projects paving the way to a serious smart / intelligent collaboration, the chapters explore e.g. cyber-security issues, 3D digitization, aerial robots, and SMEs that have introduced cyber-physical production systems. Taken together, they offer unique insights into contemporary artificial intelligence and its potential for innovation.

A concise reference to the state of theart in systems interoperability, EnterpriseInteroperability VII will be of great value to engineers and computerscientists working in manufacturing and other process industries and tosoftware engineers and electronic and manufacturing engineers working in theacademic environment. Furthermore, it shows how knowledge of the meaning withininformation and the use to which it will be put have to be held in commonbetween enterprises for consistent and efficient inter-enterprise networks.Over 30 papers, ranging from academicresearch through case studies to industrial and administrative experience ofinteroperability show how, in a scenario of globalised markets, where thecapacity to cooperate with other organizations efficiently is essential inorder to remain economically, socially and environmentally cost-effective, themost innovative digitized and networked enterprises ensure that their systems and applications are ableto interoperate across heterogeneous collaborative networks of independent organizations.This goal of interoperability is essential, not only from the perspective ofthe individual enterprise but also in the business structures that are nowemerging, such as complex collaborating networks of suppliers and customers,virtual enterprises, interconnected organisations or extended enterprises, aswell as in mergers and acquisitions. Establishing efficient and relevantcollaborative situations requires the management of interoperability from adynamic point of view: a relevant and efficient collaboration of organizations mayrequire adaptation to remain in line with changing objectives, evolvingresources, unexpected events, etc. Many of the papers contained in this, the eighthvolume of Proceedings of the I-ESAConferences have examples and illustrations calculated to deepenunderstanding and generate new ideas.The I-ESA’16 Conferencefrom which this book is drawn was organized by the Escola de Engenharia daUniversidade do Minho, on behalf of the European Virtual Laboratory for EnterpriseInteroperability (INTEROP-VLab) and Interop VLab Portuguese Pole.