Visual analytics plays a key role in the era of connected industry (or industry 4.0, industrial internet) as modern machines and production (assembly) lines can generate large amount of data, and effective visual exploration techniques are needed for troubleshooting, process optimization and decision making. However, developing effective visual analytics solutions for this application domain is...

Visual analytics plays a key role in the era of connected industry (or industry 4.0, industrial internet) as modern machines and production (assembly) lines can generate large amount of data, and effective visual exploration techniques are needed for troubleshooting, process optimization and decision making. However, developing effective visual analytics solutions for this application domain is...

while accounting for the requirements associated with the target network? These include scalability, energy-efficiency and privacy preservation. Sensing the 'city pulse' brings challenges for the supporting data management which must scale-up, as well as integrate highly heterogeneous data of various qualities. The literature is rich with papers addressing these concerns individually. However, ...

T o be effective, smart systems need to be instrumented, interconnected, and intelligent. Instrumentation enables the collection of timely, high-quality data through embedded sensors that communicate over wireless or wired networks. Instrumented devices such as smart meters for gas, electricity, and water continually monitor the supply and demand for these utilities, and might actuate strategie...

The next-generation wireless networks are evolving into very complex systems because of the very diversified service requirements, heterogeneity in applications, devices, and networks. The mobile network operators (MNOs) need to make the best use of the available resources, for example, power, spectrum, as well as infrastructures. Traditional networking approaches, i.e., reactive, centrally-man...

Now we are entering the era of the Internet of Everything (IoE) and billions of sensors and actuators are connected to the network. As one of the most sophisticated IoE applications, real-time video analytics is promising to significantly improve public safety, business intelligence, and healthcare & life science, among others. However, cloudcentric video analytics requires that all video data ...

The provision of the right data with appropriate quality according to the needs of decision makers or automated processes is crucial for successful operations of companies and government agencies. Management Information Systems, Decision Support Systems, Executive Information Systems, interactive online analysis (OLAP), data mining, dashboards and recently predictive analytics are examples for ...

Information systems and intelligent smart grid data analytics will have a critical role in managing the massive amount of data becoming available in power system substations. Digital protective relays are multi-functional intelligent electronic devices based on microprocessors, which are being installed in substations throughout the power grid. New digital relays are replacing old-fashioned ele...

Against the backdrop of ubiquitous computing, companies from various industries are building up everincreasing amounts of business process data. Seeking to salvage these hidden “data treasures,” the need for analytical information systems is ever-growing to guide corporate decision-making. However, information systems research is still very much focused on static, explanatory modeling provided ...

Advances in the interconnected capabilities of cyber physical systems (CPS) affect virtually every engineered system. Today, software approaches dominate all aspects of connecting the physical and cyber worlds in part due to the convergence of computing, control and communications software technologies. Unfortunately, software technologies are more vulnerable to cybersecurity problems than trad...