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Automatisierte Steuerung von virtuellen Biogas-Kraftwerksverbünden für den netzorientierten Betrieb
(2019)
Das Steuerungssystem VKV Netz ermöglicht den auf die Erbringung regionaler Systemdienstleistungen ausgerichteten Betrieb virtueller Biogas-Kraftwerksverbünde. Damit leistet es sowohl einen Beitrag zum zukünftig gesteigerten Bedarf an Regelenergie durch regenerative Kraftwerke als es auch alternative, zukunftsfähige Erlöspotenziale für die zumeist landwirtschaftlichen bzw. landwirtschaftsnahen Biogas-Anlagenbetreiber abseits des EEG aufzeigt. Das Steuerungssystem wurde im Rahmen des BMWi-Verbundforschungsvorhabens VKV Netz (Förderkennzeichen 0325943A) durch die Hochschule Hannover, die SLT-Technologies GmbH & Co. KG sowie die Überlandwerk Leinetal GmbH in Kooperation mit assoziierten Biogasanlagen im Zeitraum 01.01.2016 bis 31.12.2018 entwickelt und pilotiert.
Das ProFormA-Aufgabenformat wurde eingeführt, um den Austausch von Programmieraufgaben zwischen beliebigen Autobewertern (Grader) zu ermöglichen. Ein Autobewerter führt im ProFormA-Aufgabenformat spezifizierte „Tests“ sequentiell aus, um ein vom Studierenden eingereichtes Programm zu prüfen. Für die Strukturierung und Darstellung der Testergebnisse existiert derzeit kein graderübergreifender Standard. Wir schlagen eine Erweiterung des ProFormA-Aufgabenformats um eine Hierarchie von Bewertungsaspekten vor, die nach didaktischen Aspekten gruppiert ist und entsprechende Testausführungen referenziert. Die Erweiterung wurde in Graja umgesetzt, einem Autobewerter für Java-Programme. Je nach gewünschter Detaillierung der Bewertungsaspekte sind Testausführungen in Teilausführungen aufzubrechen. Wir illustrieren unseren Vorschlag mit den Testwerkzeugen Compiler, dynamischer Softwaretest, statische Analyse sowie unter Einsatz menschlicher Bewerter.
BYOD Bring Your Own Device
(2013)
Using modern devices like smartphones and tablets offers a wide variety of advantages; this has made them very popular as consumer devices in private life. Using them in the workplace is also popular. However, who wants to carry around and handle two devices; one for personal use, and one for work-related tasks? That is why “dual use”, using one single device for private and business applications, may represent a proper solution. The result is “Bring Your Own Device,” or BYOD, which describes the circumstance in which users make their own personal devices available for company use. For companies, this brings some opportunities and risks. We describe and discuss organizational issues, technical approaches, and solutions.
Cloud Computing: Serverless
(2021)
A serverless architecture is a new approach to offering services over the Internet. It combines BaaS (Backend-as-a-service) and FaaS (Function-as-a-service). With the serverless architecture no own or rented infrastructures are needed anymore. In addition, the company does not have to worry about scaling any longer, as this happens automatically and immediately. Furthermore, there is no need any longer for maintenance work on the servers, as this is completely taken over by the provider. Administrators are also no longer needed for the same reason. Finally, many ready-made functions are offered, with which the development effort can be reduced. As a result, the serverless architecture is very well suited to many application scenarios, and it can save considerable costs (server costs, maintenance costs, personnel costs, electricity costs, etc.). The company only must subdivide the source code of the application and upload it to the provider’s server. The rest is done by the provider.
In this paper we describe the selection of a modern build automation tool for an industry research partner of ours, namely an insurance company. Build automation has become increasingly important over the years. Today, build automation became one of the central concepts in topics such as cloud native development based on microservices and DevOps. Since more and more products for build automation have entered the market and existing tools have changed their functional scope, there is nowadays a large number of tools on the market that differ greatly in their functional scope. Based on requirements from our partner company, a build server analysis was conducted. This paper presents our analysis requirements, a detailed look at one of the examined tools and a summarizes our comparison of all three tools from our final comparison round.
With an increasing complexity and scale, sufficient evaluation of Information Systems (IS) becomes a challenging and difficult task. Simulation modeling has proven as suitable and efficient methodology for evaluating IS and IS artifacts, presupposed it meets certain quality demands. However, existing research on simulation modeling quality solely focuses on quality in terms of accuracy and credibility, disregarding the role of additional quality aspects. Therefore, this paper proposes two design artifacts in order to ensure a holistic quality view on simulation quality. First, associated literature is reviewed in order to extract relevant quality factors in the context of simulation modeling, which can be used to evaluate the overall quality of a simulated solution before, during or after a given project. Secondly, the deduced quality factors are integrated in a quality assessment framework to provide structural guidance on the quality assessment procedure for simulation. In line with a Design Science Research (DSR) approach, we demonstrate the eligibility of both design artifacts by means of prototyping as well as an example case. Moreover, the assessment framework is evaluated and iteratively adjusted with the help of expert feedback.
In microservice architectures, data is often hold redundantly to create an overall resilient system. Although the synchronization of this data proposes a significant challenge, not much research has been done on this topic yet. This paper shows four general approaches for assuring consistency among services and demonstrates how to identify the best solution for a given architecture. For this, a microservice architecture, which implements the functionality of a mainframe-based legacy system from the insurance industry, serves as an example.
Since textual user generated content from social media platforms contains valuable information for decision support and especially corporate credit risk analysis, automated approaches for text classification such as the application of sentiment dictionaries and machine learning algorithms have received great attention in recent user generated content based research endeavors. While machine learning algorithms require individual training data sets for varying sources, sentiment dictionaries can be applied to texts immediately, whereby domain specific dictionaries attain better results than domain independent word lists. We evaluate by means of a literature review how sentiment dictionaries can be constructed for specific domains and languages. Then, we construct nine versions of German sentiment dictionaries relying on a process model which we developed based on the literature review. We apply the dictionaries to a manually classified German language data set from Twitter in which hints for financial (in)stability of companies have been proven. Based on their classification accuracy, we rank the dictionaries and verify their ranking by utilizing Mc Nemar’s test for significance. Our results indicate, that the significantly best dictionary is based on the German language dictionary SentiWortschatz and an extension approach by use of the lexical-semantic database GermaNet. It achieves a classification accuracy of 59,19 % in the underlying three-case-scenario, in which the Tweets are labelled as negative, neutral or positive. A random classification would attain an accuracy of 33,3 % in the same scenario and hence, automated coding by use of the sentiment dictionaries can lead to a reduction of manual efforts. Our process model can be adopted by other researchers when constructing sentiment dictionaries for various domains and languages. Furthermore, our established dictionaries can be used by practitioners especially in the domain of corporate credit risk analysis for automated text classification which has been conducted manually to a great extent up to today.
Digitale Marktplätze können die Kosten einer Handelstransaktion, die sog. Transaktionskosten, senken. Durch weiteren technischen Fortschritt und intelligente Handelsbots wird die Nutzung des Marktmechanismus immer kostengünstiger. Dieser Artikel gibt einen Überblick über die bisherige Entwicklung von Digitalen Marktplätzen der Agrar- und Ernährungswirtschaft und eine mögliche Zukunft. Vermutlich werden die Transaktionskosten weiter fallen, sodass weitere Effizienzgewinne durch die vermehrte Nutzung von Märkten möglich sein werden.