Without any doubt, creating links and navigational trails is fundamental to hypertext. The Web is the widest spread representative among all systems in the history of hypertext, although its underlying core concept is kept simple. This is why the Web's widely used link functionality is naive, supporting only embedded, unary and unidirectional links. A strength of the Web is its extensibility, giving us the opportunity to augment the current functionality of links. We showcase a browser plugin, which enables users to create and share complex links over the existing Web. Furthermore, we discuss the CB-OHS Mother, its link model and how this relates to existing work. The implementation adopts latest standardization efforts and is an update to older attempts of enabling external link services for the Web.

Machines in processing plants are frequently generating failures that must be manually fixed by the operators. Machines often lack advanced assistance systems for to address these failure cases. While some new developments try to use only machine data, in many applications, the human knowledge of the operators can be very useful. In this paper, we propose a new assistance system used to merge machine data with the operator’s knowledge. This system is tested with an industry partner. The test results are used to create design considerations, compare different reasoning algorithms, and check the influence on the machine downtime.

This paper proposes a novel approach to facilitate air quality aware decision making and to support planning actors to take effective measures for improving the air quality in cities and regions. Despite many improvements over the past decades, air pollutants such as particulate matter (PM), nitrogen dioxide (NO2) and ground-level ozone (O3) pose still one of the major risks to human health and the environment. Based on both a general analysis of the air quality situation and regulations in the EU and Germany as well as an in-depth analysis of local management practices requirements for better decision making are identified. The requirements are used to outline a system architecture following a co-design approach, i.e., besides scientific and industry partners, local experts and administrative actors are actively involved in the system development. Additionally, the outlined system incorporates two novel methodological strands: (1) it employs a deep neural network (DNN) based data analytics approach and (2) makes use of a new generation of satellite data, namely Sentinel-5 Precursor (Sentinel-5P). Hence, the system allows for providing areal and high-resolution (e.g., street-level) real-time and forecast (up to 48 hours) data to inform decision makers for taking appropriate short-term measures, and secondly, to simulate air quality under different planning options and long-term actions such as modified traffic flows and various urban layouts.

Fingerprinting is a ready-to-use technology that exploits the diversity and complexity of today’s personal computing devices. Since fingerprinting leaves little to no trace, Do Not Track (DNT) policies are hard to enforce. The upcoming ePrivacy Regulation must consider this technological reality. In this opinion paper, we analyse technical use cases for device fingerprinting as an easy-to-deploy and hard-to-detect tracking technology. The EU has a longstanding tradition in strong data protection norms. To keep this high standards, we call on to the legislator to act, and illustrate vital points that must be considered in the legislative process.

Given the changes in the general conditions it is the purpose of this textbook to provide marketing professionals as well as my own marketing students with the most important theoretical, conceptual and methodological principles of marketing that are relevant in the digital era.
Marketing is a company’s market-oriented management approach which aims to offer customers better solutions to their problems than their competitors – and to generate profits within this transaction process. Marketing is therefore much more than just advertising, attractive brochures and websites that are designed to promote a company’s own products and encourage customers to buy them. This abridged understanding of marketing, which still prevails in Germany, is closely linked to the production-oriented German economy.
However, the world has changed over the past three decades: Globalization and technological progress have not only led to intensified competition and to an increasing convergence of products worldwide in terms of their functionality, quality and design. In the meantime, the market also demands skills in which companies in Germany have, for a long time, invested too little, namely in the digital transformation of the company.
More than ever, companies are faced with the challenge of moving away from their product orientation and instead placing the customer more at the centre of their strategic and operational considerations. Above all, companies should pay more attention to the wishes and needs of their customers in order to better understand their customers and to be able to respond to customer needs with attractive products or solutions. Due to its comprehensive understanding of customers and markets, Marketing is particularly suitable to contribute considerably to systematically developing its company’s competitive advantages and thus successfully differentiating it from its competitors.

Angesichts der aktuellen Veränderungen der Rahmenbedingungen ist es das Ziel dieses Buches, allen Marketinginteressierten und Studenten die wichtigsten theoretischen, konzeptionellen und methodischen Grundlagen des Marketing zu vermitteln, die im digitalen Zeitalter von Relevanz sind.
Marketing ist ein Ansatz zur marktorientierten Unternehmensführung und zielt darauf ab, dem Kunden eine bessere Problemlösung anzubieten als der Wettbewerb – und in diesem Transaktionsprozess Gewinne zu erwirtschaften. Marketing ist somit sehr viel mehr als Werbung, hübsche Broschüren und Webseiten, die die eigenen Produkte bekannt machen und den Kunden zum Kauf von Produkten animieren sollen. Dieses nach wie vor in Deutschland vorherrschende, verkürzte Marketing-Verständnis ist eng mit der produktionsorientierten Wirtschaft Deutschlands verknüpft.
Die Welt hat sich jedoch in den vergangen drei Jahrzehnten verändert: Globalisierung und technologischer Fortschritt haben nicht nur dazu geführt, dass sich der Wettbewerb intensiviert hat und sich weltweit viele Produkte in ihrem Funktionsumfang, in ihrer Qualität sowie in ihrem Design aneinander angeglichen haben. Mittlerweile sind am Markt auch Kompetenzen gefragt, in welche die Unternehmen in Deutschland lange Zeit zu wenig investiert haben, nämlich in die Digitale Transformation des Unternehmens.
Die Unternehmen stehen mehr denn je vor der Herausforderung, sich von ihrer Produktorientierung zu lösen und stattdessen den Kunden stärker in den Mittelpunkt ihrer strategischen sowie operativen Überlegungen zu stellen. Vor allem den Wünschen und Bedürfnissen der Kunden sollten Unternehmen mehr Aufmerksamkeit widmen, um ihr Kundenverständnis zu verbessern und mit attraktiven Produkten bzw. Problemlösungen auf die Kundenbedürfnisse reagieren zu können. Insbesondere das Marketing kann aufgrund seines umfassenden Kunden- und Marktverständnisses einen entscheidenden Beitrag dazu leisten, dass das eigene Unternehmen systematisch seine Wettbewerbsvorteile auf- und ausbaut und sich somit erfolgreich im Wettbewerb differenziert.

Deep learning has revived the field of automatic speech recognition (ASR) in the last ten years and pushed recognition rates into regions on par with humans. Applications like Siri, Amazon Alexa and Google Assistant are very popular, but have inherent privacy problems. In this paper, we evaluate state of the art open source ASR models regarding their usability in a smart speaker without cloud, both in terms of accuracy and runtime performance on cost-effective low power edge devices. We found Kaldi to be the most accurate solution and also among the fastest ones. It runs more than fast enough on an Nvidia Jetson Nano. It is still not on par with commercial cloud services, but getting close to it.

Ziel des Customer Experience Management ist es, die Bindung des Kunden an den Anbieter zu verstärken. Sämtliche Bereiche der Kundenbeziehung sollen auf ein "positives Erlebnis" ausgerichtet werden. Dem Einsatz von künstlicher Intelligenz (KI) kommt dabei eine wichtige Rolle zu.

Deep learning is moving more and more from the cloud towards the edge. Therefore, embedded devices are needed that are reasonably cheap, energy-efficient and fast enough. In this paper we evaluate the performance and energy consumption of popular, off-the-shelf commercial devices for deep learning inferencing. We compare the Intel Neural Compute Stick 2, the Google Coral Edge TPU and the Nvidia Jetson Nano with the Raspberry Pi 4 for their suitability as a central controller in an autonomous vehicle for the formula student driverless.