Smart meeting rooms as a specific form of multi-display environments (MDE) feature ad-hoc ensembles of heterogeneous devices and software tools to facilitate collective work and information sharing between multiple users. This makes them excellent environments for supporting visual analytics sessions. Effective use of MDE requires not only appropriate visual representations of the information n...

A System for maintaining security & preserving privacy for analysis of sensor data from smart homes, without compromising on data utility is presented. However the very nature of smart home data analytics is establishing preventive care. Data processing results should be identifiable to certain users responsible for direct care. Storing the personally identifiable data as hashed values withhold...

In today’s competitive business environment, companies are facing challenges in dealing with big data issues for rapid decision making for improved productivity. Many manufacturing systems are not ready to manage big data due to the lack of smart analytics tools. Germany is leading a transformation toward 4th Generation Industrial Revolution (Industry 4.0) based on Cyber-Physical System based m...

Visual analytics systems are in place within smart grid environments to alleviate crisis situations by allowing decision makers to perceive and understand the severity of a crisis situation. However, errors in measurements that are propagated due to various reasons (such as data transformations, errors in measurement devices etc.) can make the decision makers less confident in deriving informat...

With the widely used smart meters in the energy sector, anomaly detection becomes a crucial mean to study the unusual consumption behaviors of customers, and to discover unexpected events of using energy promptly. Detecting consumption anomalies is, essentially, a real-time big data analytics problem, which does data mining on a large amount of parallel data streams from smart meters. In this p...

The energy market domain is subject to a continuous transformation process, mostly driven by governmental regulations. To efficiently handle the large amounts of data and the communication processes between market participants, specialized database applications have been developed. In this paper, we present the energy data management system (EDMS) as a standard software solution, describing its...

Synchrophasors are the state-of-the-art measuring devices that sense various parameters such as voltage, current, frequency, and other grid parameters with a high sampling rate. This paper presents an approach to visualize and analyze the smart-grid data generated by synchrophasors using a visualization tool and density based clustering technique. A MATLAB based circle representation tool is ut...

The digitization of our lives cause a shift in the data production as well as in the required data management. Numerous nodes are capable of producing huge volumes of data in our everyday activities. Sensors, personal smart devices as well as the Internet of Things (IoT) paradigm lead to a vast infrastructure that covers all the aspects of activities in modern societies. In the most of the case...

Attention is a key factor that influences learning processes and it is generally regarded as a success generating factor. Distributed attention has been shown to be very important in processing information and its integration in comprehensive knowledge areas. This research aims to directly test the distributed attention capacity of university students through a smart testing environment designe...

in computational intelligence area, it is suitable to fulfill the analysis in order to interpret the concept and sources of uncertainty and the conditions of its incidence, and hence pursuit for reliable techniques of dealing with it. Dealing with uncertainties in this case is a challenging and multidisciplinary activity. So, there is a need for a capable tool for modeling, control, and analyti...