An undergraduate engineering internetworking learning environment that presents both internetworking principles and laboratory experimentation is described. The learning environment uses the source code availability of the Linux operating system as a case study of the implementation issues and ramifications of internet networking infrastructures. Laboratory use of experimentation with internetw...

Advanced tele-education services provision in remote geographically dispersed user communities (such as agriculture and maritime), based on the specific needs and requirements of such communities, implies significant infrastructural and broadband connectivity requirements for rich media, timely and quality-assured content delivery and interactivity. The solution to broadband access anywhere is ...

Cloud computing has emerged as a promising platform that grants users with direct yet shared access to computing resources and services without worrying about the internal complex infrastructure. We present a Predictive Elastic Load Management for Cloud Computing Infrastructures to achieve quality-aware service delivery in multi-tenancy cloud computing infrastructures. Our system dynamically ca...

At the workplace, learning is often a by-product of working on complex projects, requiring self-steered, need-driven and goal-oriented retrieval of information just in time from documents or peers. The personal desktop provides one rich source for learning material and for adaptation of learning resources. Data within that personal information space enables learning from previous experience, sh...

Zusammenfassung Der Begriff „Pervasive Universität“ ist bisher nicht klar definiert. Deshalb setzt sich der Beitrag zunächst mit relevanten Lerntypen auseinander, die für die Ausprägung der benötigten Kommunikationsinfrastrukturen wichtig sind. Anhand der Lerntypen werden die Anforderungen analysiert. Neu sind neben Virtualisierung und Personalisierung der Lehrund Lernumgebungen der ubiquitäre ...

Current Voice-over-IP infrastructures lack defenses against unexpected network threats, such as zero-day exploits and computer worms. The possibility of such threats originates from the ongoing convergence of telecommunication and IP network infrastructures. As a countermeasure, we propose a self-learning system for detection of unknown and novel attacks in the Session Initiation Protocol (SIP)...

Surface crack detection is essential for evaluating the safety and performance of civil infrastructures, automated inspections are beneficial in providing objective results. Deep neural network-based segmentation methods have demonstrated promising potential this purpose. However, majority these fully supervised, requiring extensive manual labeling at pixel level, which a vital but time-consumi...