Mobile Geräte mit kleinen Displays finden eine immer größere Verbreitung. Demzufolge wächst auch der Bedarf an Inhalten, die auf diese Display-Größe zugeschnitten sind. Die oft nur für die Desktop-Welt konzipierten Inhalte können nicht ohne weiteres mit mobilen Geräten exploriert werden. In diesem Beitrag werden daher ein Navigations- und Visualisierungskonzepte für kleine Displays vorgestellt, die den speziellen Anforderungen mobiler Endgeräte Rechnung tragen. Am Beispiel des Informationsraums der Webseite von Mercedes-Benz zeigen wir Strategien und ein Softwareframework für den Transfer vom Desktop auf mobile Endgeräte.
Storage Class Memory (SCM) is emerging as a viable solution to lift DRAM's scalability limits, both in capacity and energy
consumption. Indeed, SCM combines the economic characteristics, non-volatility, and density of traditional storage media
with the low latency and byte-addressability of DRAM. In this paper we survey research works on how SCM can be leveraged
in databases and explore different solutions ranging from using SCM as disk replacement, to single-level storage
architectures, where SCM is used as universal memory (i.e., as memory and storage at the same time), together with the
challenges that stem from these opportunities. Finally, we synthesize our findings into recommendations on how to exploit
the full potential of SCM in next-generation database architectures.
Pervasive Social Computing (PSC) is an ongoing
research trend of merging the two worlds of pervasive computing
and social computing. While there are already lots of
promising PSC applications, building such systems is still
very sophisticated and error-prone. The Mobilis framework
provides developer support for mobile pervasive apps (native
Android and HTML5), a service environment for dynamic
deployment of services, authentication and robust
communication over unreliable networks as well asanemulation
environment to be able to mimick user behavior and
to test applications in a lab environment before field tests.
The system is available as open source software on Github.
Abandoning fossil and nuclear energy sources in the long run and increasing amount of renewable energies in electricity production causes a more volatile power supply. Depending on external realities, renewable energy production emphasizes the need for measures to guarantee the necessary balance of demand and supply in the electricity system at all times. Energy intensive industry processes theoretically include high Demand Response potentials suitable to tackle this increasing supply volatility. Nevertheless, most companies do not operate their production in a flexible manner due to multiple reasons: among others, the companies lack know-how, technologies and a clear business case to introduce an additional level of flexibility into their production processes, they are concerned about possible impacts on their processes by varying the electricity demand and need assistance in exploiting their flexibility. Aside from fostering knowledge in industry companies, an IT-solution that supports companies to use their processes’ Demand Response potential has become necessary. Its concept must support companies in managing companies’ energy-flexible production processes and monetarize those potentials at flexibility markets. This paper presents a concept, which integrates both companies and energy markets. It enables automated trading of companies’ Demand Response potential on different flexibility markets.
People who are engineering biological organisms often find it useful to communicate in diagrams, both about the structure of the nucleic acid sequences that they are engineering and about the functional relationships between sequence features and other molecular species. Some typical practices and conventions have begun to emerge for such diagrams. The Synthetic Biology Open Language Visual (SBOL Visual) has been developed as a standard for organizing and systematizing such conventions in order to produce a coherent language for expressing the structure and function of genetic designs. This document details version 2.0 of SBOL Visual, which builds on the prior SBOL Visual 1.0 standard by expanding diagram syntax to include functional interactions and molecular species, making the relationship between diagrams and the SBOL data model explicit, supporting families of symbol variants, clarifying a number of requirements and best practices, and significantly expanding the collection of diagram glyphs.
Synthetic biology builds upon the techniques and successes of genetics, molecular biology, and metabolic engineering by applying engineering principles to the design of biological systems. The field still faces substantial challenges, including long development times, high rates of failure, and poor reproducibility. One method to ameliorate these problems is to improve the exchange of information about designed systems between laboratories. The synthetic biology open language (SBOL) has been developed as a standard to support the specification and exchange of biological design information in synthetic biology, filling a need not satisfied by other pre-existing standards. This document details version 2.3.0 of SBOL, which builds upon version 2.2.0 published in last year’s JIB Standards in Systems Biology special issue. In particular, SBOL 2.3.0 includes means of succinctly representing sequence modifications, such as insertion, deletion, and replacement, an extension to support organization and attachment of experimental data derived from designs, and an extension for describing numerical parameters of design elements. The new version also includes specifying types of synthetic biology activities, unambiguous locations for sequences with multiple encodings, refinement of a number of validation rules, improved figures and examples, and clarification on a number of issues related to the use of external ontology terms.
People who are engineering biological organisms often find it useful to communicate in diagrams, both about the structure of the nucleic acid sequences that they are engineering and about the functional relationships between sequence features and other molecular species . Some typical practices and conventions have begun to emerge for such diagrams. The Synthetic Biology Open Language Visual (SBOL Visual) has been developed as a standard for organizing and systematizing such conventions in order to produce a coherent language for expressing the structure and function of genetic designs. This document details version 2.1 of SBOL Visual, which builds on the prior SBOL Visual 2.0 standard by expanding diagram syntax to include methods for showing modular structure and mappings between elements of a system, interactions arrows that can split or join (with the glyph at the split or join indicating either superposition or a chemical process), and adding new glyphs for indicating genomic context (e.g., integration into a plasmid or genome) and for stop codons.