In the context of the Internet of Things (IoT), there is the need to manage huge amounts of time series sensor data, if high frequency device monitoring and predictive analytics are targeted for improving the overall process quality in production or supervision of quality management. The key challenge here is to be able to collect, transport, store and retrieve such high frequency data from multiple sensors with minimum resource usage, as this allows to scale such systems with low costs. For evaluating the performance impact of such an IoT scenario, we produce 1000 datasets per second for five sensors. We send them to three different types of popular database management systems (i.e., MariaDB, MongoDB and InfluxDB) and measure the resource impacts of the writing and reading operations over the whole processing pipeline. These measurements are CPU usage, network usage, disk performance and usage, and memory usage results plus a comparison of the difficulty for the developers to engineer such a processing pipeline. In the end, we have a recommendation depending on the needs, which database management system is best suited for processing high frequency sensor data in an IoT context.

In addition to the volatility of the market demand and shorter product lifecycles, nowadays manufacturing companies have to deal with another market dimension, namely the digitization in context of Industry 4.0. This also offers a huge potential to handle internal and external constraints, such as globalization, customization and flexibility. In this context, the following paper presents a methodology to visualize and analyze the information processes along a company’s internal value chain. This enables the holistic identification and assessment of information processes and offers a basis for target-oriented need for action with a qualitative and quantitative analysis to achieve a sustainable competitiveness. Based on the results of the analysis, selected optimization actions can be applied more effectively. The application of the developed methodology is demonstrated in a use case within a manufacturing company.

We investigate the amount of information leakage through unencrypted metadata in Android's file-based encryption (FBE) which was introduced as an alternative to the previously dominating full-disk encryption (FDE) in Android 7.0. We propose a generic method, and provide appropriate tooling, to reconstruct forensic events on Android smartphones encrypted with FBE. Based on a dataset of 3903 applications, we show that metadata of files can be used to reconstruct the name, version and installation date of all installed apps. Furthermore, we show that, depending on a specific app, information leakages through metadata can even be used to reconstruct a user's behavior. For the example of WhatsApp, we show that the point of time a user sent or received her last message can be traced back even though the phone was encrypted. Our approach requires access to the raw data of an encrypted disk only but does not require access to a powered-on device or the bootloader, such as known attacks against FDE including cold boot and evil maid. We conclude that FBE is significantly more insecure than FDE and was presumably elected for usability reasons like direct boot.

Ist Compliance als Einhaltung von Recht und Gesetz für staatliche Hochschulen als Behörden und Körperschaften des öffentlichen Rechts eine Selbstverständlichkeit? Überf lüssig? Oder bedarf es Nachdenkens über Compliance in Bezug auf Handeln und Strukturen der Hochschulen im Sinne eines adäquaten Wissenschaftsmanagements? Im modernen Wissenschaftsbetrieb tritt das verwaltungsmäßige Handeln immer mehr in den Hintergrund zugunsten des Agierens auf dem Markt von Forschungsleistungen und der Weiterbildung. Im Spannungsfeld der institutionellen Selbstverwaltung mit Freiheit von Forschung und Lehre und der unternehmerischen Hochschule mit hochschulübergreifenden Zielen wie Open Access, hohen Drittmittelquoten und Forschungsclustern auf dem Markt der Forschungsdienstleistungen entstehen rechtliche Risiken, denen mit dem althergebrachten Verwaltungshandeln, das das Eingehen von Risiken insgesamt scheut, nicht begegnet werden kann.

Hochschulen machen sich heute auf den Weg von klassischen Verwaltungseinheiten zu modernen Wissenschaftsbetrieben mit unternehmerischen Akzenten, um im internationalen Wettbewerb um Studierende und Forschungsmittel zu bestehen oder sich neuen Forschungsfeldern zu öffnen. Allerdings setzen ihnen die grundrechtlich gesicherte Wissenschaftsfreiheit, die gesetzlichen Vorgaben sowie der gesellschaftspolitische Auftrag beim Eingehen unternehmerischer Risiken enge Grenzen. Wie der Aufbau eines wissenschaftsadäquaten Compliance-Managements gelingt, das die Einhaltung rechtlicher Pflichten, die organisatorische Effizienz und die Kommunikation aller Beteiligten verbessert, erfahren Sie in diesem Buch. Ziele und Herausforderungen von Compliance-Management-Systemen (CMS) an Universitäten, Hochschulen und außeruniversitären Forschungseinrichtungen Prüfungsstandards für ein CMS, u.a. nach IDW PS 980 oder ISO 19600 Hochschulgerechte Compliance-Risikoanalyse: Risikoidentifizierung, Risikobewertung, Steuerung und Kontrolle, mit Checkliste Compliance-Funktionen: organschaftliche und persönliche Verantwortlichkeiten Compliance-Maßnahmen: personell, organisatorisch und regulativ Spezifische Compliance-Bereiche: eCompliance, Datenschutz, Wissens- und Technologietransfer, Personal-Compliance, Korruptionsprävention Ein Muss für alle, die in Universitäten, Hochschulen und außeruniversitären Forschungseinrichtungen mit Fragen zu Recht, Compliance, Datenschutz, Korruptionsprävention, Personal, Technologietransfer, Prozessorganisation und der strategischen Ausrichtung der Hochschule befasst sind.

We present an approach for analyzing Ethereum smart contracts regarding to the issue of `gasless send' [1, p. 8]. Gasless send is about contracts which lose the ability to receive Ether due to gas depletion when executing the contract's fallback function. Our approach is based on the security analysis tool Mythril which is a framework for analyzing security issues in Ethereum smart contracts. Mythril's analysis engine is based on symbolic code execution and features different analyses for security vulnerabilities in smart contracts. We upgraded the analysis engine in order to model the gas usage of Ethereum smart contracts during execution. In order to utilize the newly acquired data, we added an analysis module to detect fallback functions, whose execution may exceed the defined threshold of gas. Our analysis of 167,698 smart contracts currently deployed to the live Ethereum network shows that a total of 96.3 thousand (or 57%) might be affected by the issue of gasless send.

The focus of this book is on the cultural division of modern Western societies. This division is deep and affects many societal areas. The cultural division was not produced by the Internet, it is simply made visible by the Internet. While the mass of non-voters was of little interest in the past, it is now becoming a problem. Political elites have mixed up lack of participation with lack of interest. The negotiating state, which conducts expert discussions in backrooms, is overtaxed with this situation. The progressive-liberal society is only conceivable as a democracy, and democracy can only be protected from the demagogy of the permanent campaigners when the state creates new institutions to this end and rethinks its role. The answer can only be: more democracy, more participation and less exclusion through expert knowledge. Above all, the liberal elites must throw their truth ideology overboard and seriously devote themselves to the social inclusion of the population.

Künstliche Intelligenz gilt als das große „Buzzword“ unserer Tage. Insbesondere im Marketing wird der Technologie ein enormes Potenzial zugeschrieben. Dabei besteht eigentlich bis heute kein Konsens darüber, was nun genau unter KI zu verstehen ist. Eine einheitliche Definition existiert nicht. Allerdings gibt es beim Verständnis von KI so etwas wie einen „gemeinsamen Nenner“. Der Aspekt, bei dem sich alle einig darüber sind, dass es sich hierbei um etwas „künstlich Intelligentes“ handeln muss, ist der, wenn wir von der Lernfähigkeit eines Systems sprechen.

Tool design for multi-axis forming presses is a particular challenge. In this forming process, the material flow can be controlled with the help of the tool motion path. The multi-axis forming tools used for this purpose differ from linear pressing tools, which are narrowly defined by the workpiece geometry. These multi-axial tools also differ from incremental sheet forming tools, which have a universal tool and form the workpiece geometry by a complex tool motion path. The design of tools for multi-axial forming presses has to take both, the workpiece geometry and the tool motion path, into account. The investigated tool designs base on ‘point-‘, ‘line-‘ and ‘area-wise’ approaches to generate the shape of the mold from the workpiece geometry. In ‘point-wise’ approach, the surface of the workpiece is tessellated and transformed to the tool surface by using base layers depending on the tool motion path. In ‘line-wise’ approach, intersecting lines between workpiece and datum planes perpendicular to toolpath are transformed to a tool base geometry generating a mold’s surface. In ‘area-wise’ approach, the geometry is generated by moving the workpiece along an inverted tool path and shaping the surface of a generic tool with Boolean operations. By benchmarking all approaches to a known ideal tool geometry, the effort and the quality of the resulting tool surface can be evaluated. For unknown tool geometries the approaches were applied in two steps. In the first step a tool geometry can be generated with a nominal workpiece and in a second step a virtual workpiece with the tool. The virtual workpieces of all approach combinations were compared to the nominal workpiece. Finally, the tool design approaches, the results of the deviation between the virtual and the nominal workpiece geometry as well as the evaluation method are discussed.

Der Gegenstand dieses Buches ist eine fachspezifische betriebswirtschaftliche Diskussion zu den Konzepten und Paradigmen des Zeitmanagements. Bezogen auf die Zeit lautet das Paradigma, dass die »Beschleunigung« die einzige Richtung ist, die dem Zeitmanagement zugrunde liegt. Es scheint eine Art Einbahnstraße zu sein. D.h., immer schneller bedeutet immer erfolgreicher. Es werden in diesem Buch drei spezielle Kategorien des Zeitmanagements und ihrer jeweiligen Paradigmen erörtert, d.h. den operativen, den strategischen und den gesellschaftlichen Wert der Verkürzung der Zeit.

Thermal gasification of biomass is known for its capabilities in flexible and decentral power station applications for cogeneration. However, the product gas contains tar compounds adversely for a stable operation. Integrated tar adsorption in a subsequent cooled section is therefore an option to reduce the tar pollution. The char coal, used here as adsorption agent, is formed by biomass pyrolysis in the gasifier. A kinetic model is proposed, considering the kinetics of all main reactions as well as heat and mass transport phenomena. Results are presented for axial temperature profiles, gas compositions, and the gas purity at different air-to-fuel ratios. The resulting output mass flows could indicate a requirement on the adsorption capacity of at least 0.3 g g−1 for the activated char coal.