Polycyclische aromatische (PAK), insbesondere naphthalinähnliche Verbindungen, stellen eine Untergruppe an Innenraumschadstoffen dar, welche immer mehr an Bedeutung gewinnen. Die photokatalytische Oxidation an titandioxidbasierten Katalysatoren ermöglicht eine effektive, elegante und kostenschonende in-situ Maßnahme zur Sicherstellung der Raumluftqualität. In Laboruntersuchungen und Projektierungen real belasteter Gebäude konnte die Funktion der photokatalytischen Raumluftreinigungssysteme demonstriert werden. Die Kombination von UV-A-LED in abgestimmten Wellenlängen mit hochporösen Titandioxidschichten ermöglicht den energiearmen Abbau von organischen Raumluftschadstoffen, ohne die Notwendigkeit, Filtermaterialien periodisch ersetzen zu müssen.

The influence of the sales force on buyers in business-to-business market transactions is continuously waning. Particularly due to various new digital information channels buyers are in their decision-making processes only to a limited extent still dependent on the information provided by the sales persons. This development is putting sales forces increasingly under pressure as it is restricting their range of actions. In this conceptual paper it will be shown that regaining influence in the sales process will only be possible by the implementation of an integrated market intelligence system.

This book reasons, discusses and delves deeper into specific problems of procurement management. Key aspects of the procurement management are presented for advanced students, meaning interested students in the main course or in the master’s degree study as well as for practitioners bearing responsibility.

With the emergence of self-driving technology and the ever-increasing demand of bandwidth-hungry applications, providing the required latency, security and computational capabilities is becoming a challenging task. Although being evolving, traditional vehicular radio access technologies, namely WLAN/IEEE 802.11p and cellular networks cannot meet all the requirements of future Cooperative, Connected and Automated Mobility (CCAM). In addition, current vehicular architectures are not sufficiently flexible to support the highly heterogeneous landscape of emerging communication technologies, such as mmWave, Cellular Vehicle-to-Everything (C-V2X), and Visible Light Communication (VLC). To this aim, Multi-access Edge Computing (MEC) has been recently proposed to enhance the quality of passengers experience in delay-sensitive applications. In this paper, we discuss the in-premises features of MEC and the need of supporting technologies, such as Software Defined Networking (SDN) and Network Function Virtualization (NFV), to fulfil the requirements in terms of responsiveness, reliability and resiliency. The latter is of paramount importance for automated services, which are supposed to be always-on and always-available. We outline possible solutions for mobility-aware computation offloading, dynamic spectrum sharing, and interference mitigation. Also, by revealing MEC-inherent security vulnerabilities, we argue for the need of adequate security and privacy-preserving schemes in MEC-enabled vehicular architectures.

DerjährlicheEnergiebedarf von 13TWh in Europa allein für Einbaukältesätze legt nahe, dass hier ein großes Potential hinsichtlich Energieeffizienz ruht. An der Hochschule Hof wurde ein Versuchsfeld für die Prüfung von Luft-Luft-Kältesätzen aufgebaut. Der Aufbau und das Messprinzip wurden mit der Versuchseinrichtung einesführenden Instituts für Prüfungen von Kälteanlagen abgeglichen. Der Prüfaufbau kann den Anforderungen des Instituts standhalten. Die durchgeführten Versuche zur Kalibrierung des Kalorimeterraumes zeigen, dass absolute Umgebungstemperaturen bei gleicher Temperaturdifferenzzwischen Innen-und Außenzelle keinen Einfluss auf die Bestimmung des Zellverlusts haben.Dies legt den Schluss nahe, dass absolute Temperaturen keinen Einfluss auf die Bestimmung des Zellverlusts haben.

Since Critical Infrastructures (CIs) use systems and equipment that are separated by long distances, Supervisory Control And Data Acquisition (SCADA) systems are used to monitor their behaviour and to send commands remotely. For a long time, operator of CIs applied the air gap principle, a security strategy that physically isolates the control network from other communication channels. True isolation, however, is difficult nowadays due to the massive spread of connectivity: using open protocols and more connectivity opens new network attacks against CIs. To cope with this dilemma, sophisticated security measures are needed to address malicious intrusions, which are steadily increasing in number and variety. However, traditional Intrusion Detection Systems (IDSs) cannot detect attacks that are not already present in their databases. To this end, we assess in this paper Machine Learning (ML) techniques for anomaly detection in SCADA systems using a real data set collected from a gas pipeline system and provided by the Mississippi State University (MSU). The contribution of this paper is two-fold: 1) The evaluation of four techniques for missing data estimation and two techniques for data normalization, 2) The performances of Support Vector Machine (SVM), Random Forest (RF), Bidirectional Long Short Term Memory (BLSTM) are assessed in terms of accuracy, precision, recall and F1 score for intrusion detection. Two cases are differentiated: binary and categorical classifications. Our experiments reveal that RF and BLSTM detect intrusions effectively, with an F1 score of respectively > 99% and > 96%.