A Perceptive Interface for Intelligent Cyber Enterprises

Abstract

Large scale, complex, networked enterprises, as may be considered (trans)national energy systems, multi-national manufacturing enterprises, smart cities a.s.o. are structures that can be characterized as systems of systems (SoS) and, as such, require specific modelling paradigms and control architectures to ensure their successful running. Their main characteristic is the necessity of solving practically one-of-a-kind problems with respect to the external context and internal configuration, thus dealing with dynamically evolving flows of data and information. The paper introduces the concept of intelligent cyber-enterprise, as an integrating paradigm that uses information and knowledge dynamics, in order to model and control SoS, especially focusing on the importance of appropriately adapt external and internal perception of an enterprise through a new generation of sensorial systems—the perceptive interfaces. The authors analyze sensing and perception in relation to intelligent cyber enterprise model and propose an implementation for a perceptive system interface.

An Hybrid Approach for Urban Traffic Prediction and Control in Smart Cities

“…The aspects to be solved when defining a neuro-inspired framework for complex systems are, mainly [ 26 , 30 , 31 , 32 , 33 ]: the granularity levels of control (from measurement towards searching, grouping and focusing data in order to obtain qualitative models); the reasoning approaches (from implicit and quantitative—embedded algorithms—to explicit and qualitative) for problem-solving; the learning methods/validation of solutions; behavior-generation methods. …”

“…This kind of architecture has taken into consideration complex systems that may be addressed as interconnected autonomous subsystems having largely heterogeneous physical characteristics—as cyber-physical systems. When the same ontology is used on every cyber-physical system, their integration may be achieved by using a common knowledge management system and a common set of goals—which was illustrated on intelligent cyber-enterprises [ 26 , 33 ].…”

“…The aspects to be solved when defining a neuro-inspired framework for complex systems are, mainly [26,[30][31][32][33]:…”

Advanced Intelligent Control through Versatile Intelligent Portable Platforms

“…“The Intelligent Cyber Enterprise” starts from new emerging paradigms, such as the Internet of Things and Cyber-Physical Systems, focused on adopting new technologies in order to become agile, safe and productive, and capable of interoperating with smart manufacturing applications [ 1 ]. The paper introduces the concept of the intelligent cyber-enterprise using information and knowledge dynamics focusing on the importance of appropriately adapting external and internal perceptions of an enterprise through a new generation of sensorial systems—the perceptive interfaces which led to new concepts on intelligent interface instance registry, intelligent interface repository, semantic routing systems and middleware ontology, etc.…”

Detection of Anomalous Behavior in Modern Smartphones Using Software Sensor-Based Data

“…Current anomaly-detection applications span a wide array of technical solutions, from traditional machine learning and statistics, to deep learning models for computer vision related tasks, with applications in virtually all fields of technology [10][11][12].…”