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Secure vehicular communication has been discussed over a long period of time. Now,- this technology is implemented in different Intelligent Transportation System (ITS) projects in europe. In most of these projects a suitable Public Key Infrastructure (PKI) for a secure communication between involved entities in a Vehicular Ad hoc Network (VANET) is needed. A first proposal for a PKI architecture for Intelligent Vehicular Systems (IVS PKI) is given by the car2car communication consortium. This architecture however mainly deals with inter vehicular communication and is less focused on the needs of Road Side Units. Here, we propose a multi-domain PKI architecture for Intelligent Transportation Systems, which considers the necessities of road infrastructure authorities and vehicle manufacturers, today. The PKI domains are cryptographically linked based on local trust lists. In addition, a crypto agility concept is suggested, which takes adaptation of key length and cryptographic algorithms during PKI operation into account.
Introduction: After cellulose, lignin represents the most abundant biopolymer on earth that accounts for up to 18-35 % by weight of lignocellulose biomass. Today, it is a by-product of the paper and pulping industry. Although lignin is available in huge amounts, mainly in form of so called black liquor produced via Kraft-pulping, processes for the valorization of lignin are still limited [1]. Due to its hyperbranched polyphenol-like structure, lignin gained increasing interest as biobased building block for polymer synthesis [2]. The present work is focused on extraction and purification of lignin from industrial black liquor and synthesis of lignin-based polyurethanes.
Ein wichtiges Ziel der medizinischen Rehabilitation der Rentenversicherung war schon immer die berufliche (Wieder-)Eingliederung der Rehabilitanden. Daher ist die Ermittlung des Erwerbsstatus ein zentrales Element für die Bewertung des Rehabilitationsergebnisses. Für die konkrete Umsetzung bestehen jedoch mehrere Möglichkeiten: Betrachtung von Einkommen, Beschäftigungsdauer oder -art, Stichtags- oder Zeitraumbetrachtung, kurz-, mittel- oder langfristige Erhebung, Befragung der Rehabilitanden oder Nutzung von Daten der Sozialversicherung etc. In diesem Beitrag werden mögliche Herangehensweisen am Beispiel der „Reha-QM-Outcome-Studie“ des „Qualitätsverbundes Gesundheit“ und der Deutschen Rentenversicherung Baden-Württemberg (Kaluscha et al., 2014) beleuchtet.
Internes Qualitätsmanagement (QM) wurde spätestens 2007 mit dem Gesetz zur Stärkung des Wettbewerbs in der gesetzlichen Krankenversicherung zu einem wesentlichen Bestandteil der stationären medizinischen Rehabilitation (Petri, Stähler, 2008). Seit dem Auslaufen der Übergangsfrist am 01.10.2012 verfügen alle durch einen gesetzlichen Rehabilitationsträger belegten stationären Einrichtungen über ein, den Anforderungen der Bundesarbeitsgemeinschaft für Rehabilitation entsprechendes, zertifiziertes QM-System.
Die psychische Komorbidität bei chronisch körperlichen Erkrankungen gilt als weitgehend belegt. Je nach Indikationsbereich variiert der Anteil zusätzlich psychisch erkrankter Patienten zwischen 16 und 24 % (4-Wochen-Prävalenz) bzw. zwischen 29 und 41 % (1-Jahres- Prävalenz; Härter et al., 2007). Aktuelle Konzepte legen eine stärkere Fokussierung auf psychosoziale, vor allem psychologische, psychotherapeutische und pädagogische Behandlungsbausteine innerhalb der stationären Rehabilitation nahe (Bengel et al., 2014; Seiter et al., 2012). Zusätzlich werden gezielte Nachsorgekonzepte entwickelt und erprobt (z. B. Deck, Hüppe, 2014). Der vorliegende Beitrag geht auf der Grundlage einer aktuellen Versichertenstichprobe der Frage nach, wie psychische Beeinträchtigung, Behandlungsempfehlung und nachfolgende Inanspruchnahme ambulanter psychotherapeutischer Leistungen zusammenhängen und mit welchen Behandlungsergebnissen sie assoziiert sind.
This paper proposes an Artificial Plasmodium Algorithm (APA) mimicked a contraction wave of a plasmodium of physarum polucephalum. Plasmodia can live using the contracion wave in their body to communicate to others and transport a nutriments. In the APA, each plasmodium has two information as the wave information: the direction and food index. We apply APA to a maze solving and route planning of road map.
In this paper, a set of micro-benchmarks is proposed to determine basic performance parameters of single-node mainstream hardware architectures for High Performance Computing. Performance parameters of recent processors, including those of accelerators, are determined. The investigated systems are Intel server processor architectures as well as the two accelerator lines Intel Xeon Phi and Nvidia graphic processors. Results show similarities for some parameters between all architectures, but significant differences for others.
Persons entering the working range of industrial robots are exposed to a high risk of collision with moving parts of the system, potentially causing severe injuries. Conventional systems, which restrict the access to this area, range from walls and fences to light barriers and other vision based protective devices (VBPD). None of these systems allow to distinguish between humans and workpieces in a safe and reliable manner. In this work, a new approach is investigated, which uses an active near-infrared (NIR) camera system with advanced capabilities of skin detection to distinguish humans from workpieces based on characteristic spectral signatures. This approach allows to implement more intelligent muting processes and at the same time increases the safety of persons working close to the robots. The conceptual integration of such a camera system into a VBPD and the enhancement of person detection methods through skin detection are described and evaluated in this paper. Based upon this work, next steps could be the development of multimodal sensor systems to safeguard working ranges of collaborating robots using the described camera system.
Manufacturers of machinery are increasingly using application programming of safety controls in order to implement safety functions. The EN ISO 13849-1 and EN 62061 standards define requirements concerning the development of software employed for safety functions. The IFA began addressing the subject of safety-related application software many years ago. Between 2011 and 2013, Project FF-FP0319 concerning standardscompliant development and documentation of safetyrelated user software in machine construction was successfully completed at the Bonn-Rhein-Sieg University of Applied Sciences in conjunction with numerous partner bodies from the machine construction sector and with funding from the DGUV. For this purpose, a procedure – the IFA matrix method – was developed, and evaluated and documented with reference to examples from industry, for implementation of the requirements concerning the development of software for machine safety functions. This paper provides insights into both the IFA matrix method and the new IFA report on the subject, and with information on what further tools are planned.
The proper use of protective hoods on panel saws should reliably prevent severe injuries from (hand) contact with the blade or material kickbacks. It also should minimize long-term lung damages from fine-particle pollution. To achieve both purposes the hood must be adjusted properly by the operator for each workpiece to fit its height. After a work process is finished, the hood must be lowered down completely to the bench. Unfortunately, in practice the protective hood is fixed at a high position for most of the work time and herein loses its safety features. A system for an automatic height adjustment of the hood would increase comfort and safety. If the system can distinguish between workpieces and skin reliably, it furthermore will reduce occupational hazards for panel saw users. A functional demonstrator of such a system has been designed and implemented to show the feasibility of this approach. A specific optical sensor system is used to observe a point on the extended cut axis in front of the blade. The sensor determines the surface material reliably and measures the distance to the workpiece surface simultaneously. If the distance changes because of a workpiece fed to the machine, the control unit will set the motor-adjusted hood to the correct height. If the sensor detects skin, the hood will not be moved. In addition a camera observes the area under the hood. If there are no workpieces or offcuts left under the hood, it will be lowered back to the default position.
Für das IT-Service-Management, also für die Maßnahmen zur Planung, Überwachung und Steuerung der Effektivitat und Effizienz von IT-Services, existieren Standardprozessmodelle wie beispielsweise ITIL oder MOF. Kleine und mittlere Unternehmen (KMU) können für das IT-Service-Management oftmals nicht die IT-Service-Management-Prozesse aus ITIL oder MOF nutzen, da der zusätzliche administrative Aufwand zur Nutzung für diese Unternehmen meist nicht rentabel ist. Dies ist ein entscheidender Wettbewerbsnachteil, da die Aufgaben und Themen im IT-Service-Management für KMU der in großen Unternehmen sehr ähnlich sind.
Die Autoren ermitteln in diesem Beitrag typische Anforderungen an das IT-Service-Management in KMU, entwickeln anschliesend ein für KMU geeignetes Prozessmodell für das IT-Service-Management, das sich aus ITIL ableitet, und beschreiben abschließend die exemplarische Einführung in einem Unternehmen.
This paper proposes a new artificial neural network-based maximum power point tracker for photovoltaic application. This tracker significantly improves efficiency of the photovoltaic system with series-connection of photovoltaic modules in non-uniform irradiance on photovoltaic array surfaces. The artificial neural network uses irradiance and temperature sensors to generate the maximum power point reference voltage and employ a classical perturb and observe searching algorithm. The structure of the artificial neural network was obtained by numerical modelling using Matlab/Simulink. The artificial neural network was trained using Bayesian regularisation back-propagation algorithms and demonstrated a good prediction of the maximum power point. Relative number of Vmpp prediction errors in range of ±0.2V is 0.05% based on validation data.
The paper presents a new control strategy of management of transport companies operating in completive transport environment. It is aimed to optimise the headway of transport companies to provide the balance between costs and benefits of operation under competition. The model of transport system build using AnyLogic comprises agent-based and discrete-event techniques. The model combined two transport companies was investigated under condition of the competition between them. It was demonstrated that the control strategy can ensure the balance of interests of transport companies trying to find compromise between cost of operation and quality of service.
In der vorliegenden Arbeit wird ein neuartiges Verfahren zur Echtzeitüberwachung von Laserbohrprozessen vorgestellt. Die Untersuchungen werden an unterschiedlichen Materialien unter Einsatz eines passiv-gütegeschalteten Nd:YAG Lasers durchgeführt. Prozessbegleitend findet eine Aufzeichnung der akustischen Emissionen mit anschließender Analyse durch schnelle Fourier-Transformation statt. Hierdurch lassen sich der Durchbruch beim Bohren durch ein Material sowie der Materialübergang mehrschichtiger Systeme detektieren. Die akustischen Messungen werden durchAuswertung der Pulsfolge des Lasers mittels einer Fotodiode gestützt. Hierbei zeigt sich eine gute Übereinstimmung der im akustischen Spektrum dominanten Frequenz mit der jeweils im Laserburstauftretenden Pulsfrequenz. Das vorgestellte Verfahren ermöglicht eine Echtzeitüberwachung beim Laserbohren mittels kostengünstiger und einfacher Hardware. Zudem zeichnet es sich im Gegensatz zu bestehenden Verfahren durch eine hohe Robustheit gegen äußere Störeinflüsse aus, da eine frequenzbasierte Auswertung stattfindet.
Unkonventionelle Spreng- und Brandvorrichtungen sind Bedrohungen in den weltweiten Konfliktherden und werden bei terroristischen Aktivitäten verwendet. Der Schutz von Menschen und Material erfordert daher effektive Gegenmaßnahmen. Dazu gehört auch die Anforderung an Sicherheitskräfte oder militärisches Personal, unbekannte Substanzfunde mit geringem zeitlichem und logistischem Aufwand vor Ort als gefährdend oder unkritisch einzustufen. Um Explosivstoffe von nicht-explosiven Materialien zu unterscheiden, kann die bei Explosivstoffen initiierbare, stark exotherme Reaktion genutzt werden. Diese resultiert in Strahlungsemissionen sowie in lokaler Druck- und Temperaturerhöhung. Die Messung dieser Reaktionseffekte und die Anforderung an eine mobile, einfach zu bedienende und robuste Analytik werden durch ein System ermöglicht, das Proben im einstelligen mg-Bereich durch schnelles Erhitzen auf mikrostrukturierten Heizern zum chemischen Umsatz anregt. Die emittierte Strahlung wird mit Photodioden im Bereich des sichtbaren und nah-infraroten Lichts aufgenommen, ein Sensor registriert die Druckerhöhung in einer geschlossenen Versuchskammer. In einem zweiten Aufbau werden die gasförmigen Reaktionsprodukte über ein Sensorarray von vier kommerziellen Gassensoren geleitet und die Signalantworten der Halbleitergassensoren mittels Hauptkomponentenanalyse ausgewertet. Die Ergebnisse zeigen, dass die schnelle thermische Aktivierung für die untersuchten primären Explosivstoffe, Treibladungspulver, sowie Trinitrotoluol (TNT) reproduzierbar erfolgt. Nicht-Explosivstoffe werden dabei im untersuchten Umfang sicher als unkritisch erkannt. Die Auswertung der Gassensorsignale liefert eine Unterscheidung von Nitrat- und Peroxid-basierten Sprengstoffen sowie von nicht-explosiven Substanzen.
Durch Dotierung eines nematischen Flüssigkristalles mit einer chiralen Substanz wird eine helikal strukturierte Phase induziert, die in der Lage ist, einfallendes Licht wellenlängenselektiv zu reflektieren. Bei der Reaktion des Dotiermittels mit einem gasförmigen Analyten verändern sich die Ganghöhe dieser Struktur und damit die reflektierte Wellenlänge. Liegt diese im Bereich des sichtbaren Lichts, ist eine Farbänderung mit dem menschlichen Auge zu beobachten. Es ist dabei sinnvoll den Flüssigkristall z.B. in einem Polymer einzukapseln, um ihn vor mechanischen Einflüssen und Umwelteinflüssen zu schützen. Eine Möglichkeit zur Einkapselung ist das koaxiale Elektrospinnen. Vorteile sind unter anderem die Realisierung einer großen Oberfläche und einer sehr geringen Wanddicke der schützenden Schale, die die Diffusion von Gasen durch die Wand hindurch ermöglicht. Um die Funktionsfähigkeit eines solchen Sensors zu testen, wurde ein CO2-sensitiver Flüssigkristall verwendet. Dieser wurde in eine Schale aus Polyvinylpyrrolidon (PVP) versponnen und die Reaktion mit CO2 spektroskopisch analysiert.
In the fermentation process sugars are transformed into lactic acid. pH meters have traditionally been used for fermentation process monitoring based on acidity. More recently, near infrared (NIR) spectroscopy has proven to provide an accurate and non-invasive method to detect when the transformation of sugars into lactic acid is finished. The fermentation process when sugars are transformed into lactic acid. This research proposes the use of simplified NIR spectroscopy using multispectral optical sensors as a simpler and less expensive measure to end the fermentation process. The NIR spectrum of milk and yogurt is compared to find and extract features that can be used to design a simple sensor to monitor the yogurt fermentation process. Multispectral images in four selected wavebands within the NIR spectrum are captured and show different spectral remission characteristics for milk, yogurt and water, which support the selection of these wavebands for milk and yogurt classification.
Softwareentwickelnde kleine und mittlere Unternehmen (KMU) erkennen zunehmend, dass die nutzerzentrierte Gestaltung ein wichtiges, oft entscheidendes Kriterium für die Benutzerfreundlichkeit und damit den Erfolg ihrer Produkte ist. Stolpersteine auf dem Weg zum erfolgreichen Usability- und User Experience-Engineering sind dabei allerdings häufig die Unkenntnis der passenden Methoden bzw. die Befürchtung zu hohen Aufwands an Ressourcen und von Verzögerungen in der Produktentwicklung (vgl. Stade et al., 2013; Reckin & Brandenburg, 2013; Woywode et al., 2011).
Die Vorteile, Nutzer aktiv, früh und langfristig in ntwicklungsprozesse zu integrieren, um Fehlentwicklungen zu vermeiden und Nutzerbedürfnisse zu adressieren, sind nicht nur in der akademischen Forschung bekannt. Prozesse und Strukturen in Unternehmen der IKT-Branche sind bereits häufig agil implementiert. Dennoch schaffen es kleine und mittlere Unternehmen (KMU) oftmals nicht, die Potentiale einer Nutzerintegration konsequent auszuschöpfen. In Fallstudien wurden drei unterschiedliche KMU analysiert, wie sie die Stimme des Nutzers im Entwicklungsprozess berücksichtigen. Unterschiedliche Strategien der Nutzerintegration, die sich in Rollen und Werkzeugen, in Anforderungen und Problemen an das Nutzersample, Methoden und Datenaufbereitung widerspiegeln, werden beleuchtet. Unser Beitrag soll helfen, Herausforderungen und Probleme von KMU auf der Suche nach angemessenen und passgenauen Wegen der Nutzerintegration zu verstehen und Lösungen zu gestalten.
Das Konzept des Living Lab ist eine in der Wissenschaft anerkannte Innovations- und Forschungsmethodik. Im betrieblichen Kontext - insbesondere in kleinen und mittleren Unternehmen (KMU) – wird sie bislang jedoch kaum genutzt. Um die Nutzung im kommerziellen Kontext von Smart Home zu erforschen, wird im Forschungsprojekt SmartLive aktuell ein Living Lab zum Thema aufgebaut, bei dem Unternehmen, Forscher sowie ca. 30 teilnehmenden Haushalte die alltägliche Nutzung von kommerziellen, sowie experimentell entwickelten Lösungen untersuchen und neue Interaktionskonzepte gemeinsam erarbeiten. Ferner wurden mit den teilnehmenden Unternehmen Interviews zu deren Entwicklungsprozessen, deren Einstellung zu Usability und User Experience (UUX), sowie den Potenzialen und Möglichkeiten eines Living Labs für KMU geführt. Ziel der Interviews ist es, darauf aufbauend UUX-Dienstleistungen zu identifizieren, die rund um ein kommerziell betriebenes Living Lab angeboten werden können. Hierbei wurde zunächst das Kompetenz-Netzwerk als ein wichtiges Asset eines Living Lab hervorgehoben, da es eine projektförmige Kooperation fördert. Zudem wurde der Bedarf nach flexiblen Dienstleistungen ähnlich einem Baukastensystem deutlich, mit dessen Hilfe relativ kurzfristig als auch nachhaltige innovative Konzepte erprobt, Marketingstrategien entwickelt sowie prototypische Entwicklungen hinsichtlich UUX und technischer Qualität evaluiert werden können.
This paper proposes an Artificial Plasmodium Algorithm (APA) mimicked a contraction wave of a plasmodium of physarum polucephalum. Plasmodia can live using the contracion wave in their body to communicate to others and transport a nutriments. In the APA, each plasmodium has two information as the wave information: the direction and food index. We apply the APA to 4 types of mazes and confirm that the APA can solve the mazes.
Binary relations with certain properties such as biorders, equivalences or difunctional relations can be represented as particular matrices. In order for these properties to be identified usually a rearrangement of rows and columns is required in order to reshape it into a recognisable normal form. Most algorithms performing these transformations are working on binary matrix representations of the underlying relations. This paper presents an approach to use the RLE-compressed matrix representation as a data structure for storing relations to test whether they are biorders in a hopefully more efficient way.
Reducing energy consumption is one of the most pursued economic and ecologic challenges concerning societies as a whole, individuals and organizations alike. While politics start taking measures for energy turnaround and smart home energy monitors are becoming popular, few studies have touched on sustainability in office environments so far, though they account for almost every second workplace in modern economics. In this paper, we present findings of two parallel studies in an organizational context using behavioral change oriented strategies to raise energy awareness. Next to demonstrating potentials, it shows that energy feedback needs must fit to the local organizational context to succeed and should consider typical work patterns to foster accountability of consumption.
Reducing energy consumption is one of the most pursued economic and ecologic challenges concerning societies as a whole, individuals and organizations alike. While politics start taking measures for energy turnaround and smart home energy monitors are becoming popular, few studies have touched on sustainability in office environments so far, though they account for almost every second workplace in modern economics. In this paper, we present findings of two parallel studies in an organizational context using behavioral change oriented strategies to raise energy awareness. Next to demonstrating potentials, it shows that energy feedback needs must fit to the local organizational context to succeed and should consider typical work patterns to foster accountability of consumption.
So far, sustainable HCI has mainly focused on the domestic context, but there is a growing body of work looking at the organizational context. As in the domestic context, these works still rest on psychological theories for behaviour change used for the domestic context. We supplement this view with an organizational theory-informed approach that adopts organizational roles as a key element. We will show how a role-based analysis could be applied to uncover information needs and to give em-ployee’s eco-feedback, which is linked to their tasks at hand. We illustrate the approach on a qualitative case study that was part of a broader, ongoing action research conducted in a German production company.
The study of locomotion in virtual environments is a diverse and rewarding research area. Yet, creating effective and intuitive locomotion techniques is challenging, especially when users cannot move around freely. While using handheld input devices for navigation may often be good enough, it does not match our natural experience of motion in the real world. Frequently, there are strong arguments for supporting body-centered self-motion cues as they may improve orientation and spatial judgments, and reduce motion sickness. Yet, how these cues can be introduced while the user is not moving around physically is not well understood. Actuated solutions such as motion platforms can be an option, but they are expensive and difficult to maintain. Alternatively, within this article we focus on the effect of upper-body tilt while users are seated, as previous work has indicated positive effects on self-motion perception. We report on two studies that investigated the effects of static and dynamic upper body leaning on perceived distances traveled and self-motion perception (vection). Static leaning (i.e., keeping a constant forward torso inclination) had a positive effect on self-motion, while dynamic torso leaning showed mixed results. We discuss these results and identify further steps necessary to design improved embodied locomotion control techniques that do not require actuated motion platforms.
We propose a high-performance GPU implementation of Ray Histogram Fusion (RHF), a denoising method for stochastic global illumination rendering. Based on the CPU implementation of the original algorithm, we present a naive GPU implementation and the necessary optimization steps. Eventually, we show that our optimizations increase the performance of RHF by two orders of magnitude when compared to the original CPU implementation and one order of magnitude compared to the naive GPU implementation. We show how the quality for identical rendering times relates to unfiltered path tracing and how much time is needed to achieve identical quality when compared to an unfiltered path traced result. Finally, we summarize our work and describe possible future applications and research based on this.
This presentation gives an overview of current research in the area of high quality rendering and visualization at the Institute of Visual Computing (IVC). Our research facility has some unique software and hardware installations of which we will describe a large, ultra- high resolution (72 megapixel) video wall in this presentation.
A recent trend in interactive environments are large, ultra high resolution displays (LUHRDs). Compared to other large interactive installations, like the CAVE tm , LUHRDs are usually flat or (slightly) curved and have a significantly higher resolution, offering new research and application opportunities.
This tutorial provides information for researchers and engineers who plan to install and use a large ultra-high resolution display. We will give detailed information on the hardware and software of recently created and established installations and will show the variety of possible approaches. Also, we will talk about rendering software, rendering techniques and interaction for LUHRDs, as well as applications.
With the increasing average age of the population in many developed countries, afflictions like cardiovascular diseases have also increased. Exercising has a proven therapeutic effect on the cardiovascular system and can counteract this development. To avoid overstrain, determining an optimal training dose is crucial. In previous research, heart rate has been shown to be a good measure for cardiovascular behavior. Hence, prediction of the heart rate from work load information is an essential part in models used for training control. Most heart-rate-based models are described in the context of specific scenarios, and have been evaluated on unique datasets only. In this paper, we conduct a joint evaluation of existing approaches to model the cardiovascular system under a certain strain, and compare their predictive performance. For this purpose, we investigated some analytical models as well as some machine learning approaches in two scenarios: prediction over a certain time horizon into the future, and estimation of the relation between work load and heart rate over a whole training session.
Although much effort is made to prevent risks arising from food, food-borne diseases are an ever present-threat to the consumers’ health. The consumption of fresh food that is contaminated with pathogens like fungi, viruses or bacteria can cause food poisoning that leads to severe health damages or even death. The outbreak of Shiga Toxin-producing enterohemorrhagic E. coli (EHEC) in Germany and neighbouring countries in 2011 has shown this dramatically. Nearly 4.000 people were reported of being affected and more than 50 people died during the so called EHEC-crisis. As a result the consumers’ trust in the safety of fruits and vegetables decreased sharply.
Sustainable development needs sustainable production and sustainable consumption. During the last decades the encouragement of sustainable production has been the focus of research and policy makers under the implicit assumption that the observable increasing ‘green’ values of consumers would also entail a growing sustainable consumption. However, it has been found that the actual purchasing behaviour often deviates from ‘green’ attitudes. This phenomenon is called the attitude-behaviour gap. It is influenced by individual, social and situational factors. The main purchasing barriers for sustainable (organic) food are price, lack of immediate availability, sensory criteria, lack or overload of information as well as the low-involvement feature of food products in conjunction with well-established consumption routines, lack of transparency and trust towards labels and certifications.
Solar energy is one option to serve the rising global energy demand with low environmental impact.1 Building an energy system with a considerable share of solar power requires long-term investment and a careful investigation of potential sites. Therefore, understanding the impacts from varying regionally and locally determined meteorological conditions on solar energy production will influence energy yield projections. Clouds are moving on a short term timescale and have a high influence on the available solar radiation, as they absorb, reflect and scatter parts of the incoming light.2 However, the impact of cloudiness on photovoltaic power yields (PV) and cloud induced deviations from average yields might vary depending on the technology, location and time scale under consideration.
Solar energy is one option to serve the rising global energy demand with low environmental Impact [1]. Building an energy system with a considerable share of solar power requires long-term investment and a careful investigation of potential sites. Therefore, understanding the impacts from varying regionally and locally determined meteorological conditions on solar energy production will influence energy yield projections. Clouds are moving on a short term timescale and have a high influence on the available solar radiation, as they absorb, reflect and scatter parts of the incoming light [2]. However, modeling photovoltaic (PV) power yields with a spectral resolution and local cloud information gives new insights on the atmospheric impact on solar energy.
A novel approach to produce 2D designs by adapting the HyperNEAT algorithm to evolve non-uniform rational basis splines (NURBS) is presented. This representation is proposed as an alternative to previous pixel-based approaches primarily motivated by aesthetic interests, and not designed for optimization tasks. This spline representation outperforms previous pixel-based approaches on target matching tasks, performing well even in matching irregular target shapes. In addition to improved evolvability in the face of a well defined fitness metric, a NURBS representation has the added virtues of being continuous rather than discrete, as well as being intuitive and easily modified by graphic and industrial designers.
Communicating Sequential Processes (CSP) [7] is a calculus for concurrent systems that has been the basis of subject-oriented business process management (S-BPM) [4]. We use CSPm -- a machine readable dialect of CSP -- to create a sequence of models for a case study on an "Automated Teller Machine" [1]. We use the refinement checker FDR2 to prove that certain models are correct implementations of specifications.
Die Vielzahl der Möglichkeiten, um mit Kunden in den Dialog zu treten, ist erheblich gestiegen. Unternehmen sind deshalb gefordert, die verschiedenen Kontaktkanäle mit ihren Kunden systematisch zu managen. Im Mittelpunkt steht dabei der Informations- und Entscheidungsprozess des Kunden, der als Customer Journey bezeichnet wird. Diese Journey ist definiert als Prozess zwischen dem ersten Kaufimpuls und der Kaufentscheidung. Dieser Prozess ist charakterisiert von der Nutzung verschiedener Medien bzw. Kontaktkanäle. Kunden nutzen die Kontaktkanäle, die ihnen in der aktuellen Situation als sehr einfach bzw. bequem erscheinen und zu ihren spezifischen Anliegen (Fragen zum Produkt, Bestellung etc.) passen. Erfahrungen zeigen, dass sich zwar Grundmuster identifizieren lassen, ansonsten die Wege der Kunden jedoch sehr individuell sein können.
We present GEM-NI -- a graph-based generative-design tool that supports parallel exploration of alternative designs. Producing alternatives is a key feature of creative work, yet it is not strongly supported in most extant tools. GEM-NI enables various forms of exploration with alternatives such as parallel editing, recalling history, branching, merging, comparing, and Cartesian products of and for alternatives. Further, GEM-NI provides a modal graphical user interface and a design gallery, which both allow designers to control and manage their design exploration. We conducted an exploratory user study followed by in-depth one-on-one interviews with moderately and highly skills participants and obtained positive feedback for the system features, showing that GEM-NI supports creative design work well.
An Empirical Evaluation of the Received Signal Strength Indicator for fixed outdoor 802.11 links
(2015)
For the evaluation of the received signal strength indication (RSSI) a different methodology compared to previous publications is introduced in this paper by exploiting a spectral scan feature of recent Qualcomm Atheros WiFi NICs. This method is compared to driver reports and to an industrial grade spectrum analyzer. During the conducted outdoor experiments a decreased scattering of the RSSI compared to previous publications is observed. By applying well-known mathematical tests for normality it is possible to show that the RSSI does not follow a normal distribution in a line-of-sight outdoor environment. The evaluated spectral scan features offers additional possibilities to develop interference classifiers which is an important step for frequency allocation in long-distance 802.11 networks.
Die Rückkehr ins Erwerbsleben (Return to Work, RTW) wird für onkologische Rehabilitanden zunehmend zum zentralen Behandlungsziel, wodurch auch die Bereitstellung spezifischer berufsorientierter Maßnahmen an Bedeutung gewinnt (z. B. Mehnert, Koch, 2012). Die Überprüfung der Behandlungsergebnisse solcher Maßnahmen stellt einen wichtigen Baustein des Qualitätsmanagements der Rehabilitationseinrichtungen dar. Im Rahmen der „Reha-QM-Outcome-Studie“ des Qualitätsverbundes Gesundheit und der Deutschen Rentenversicherung Baden-Württemberg (Nübling et al., 2014) wurde daher ein besonderes Augenmerk auf das Outcome und die RTW-Quote der onkologischen Patienten, auch im Vergleich zu anderen Hauptindikationen, gelegt.
Work in progress: Starter-project for first semester students to survey their engineering studies
(2015)
Understanding the Internet of Things: A Conceptualisation of Business-to-Thing (B2T) Interactions
(2015)
[Context and motivation] Communication in distributed software development is usually supported by issue tracking systems. Within these systems, most of the communication is stored as unstructured natural language text. The natural language text, however, contains much information with respect to requirements management, e.g. discussion, clarification and prioritization of features, bugs, and refactorings. [Question] This paper investigates the information stored in the issue tracking systems of four different open-source projects. It categorizes the text and reports on the distribution of issue types and information types. [Principal ideas/results] A manual analysis of 80 issues, using a grounded approach, is conducted to derive a taxonomy of issue types and information types. Subsequently, the taxonomy is used as a codebook, to manually categorize and structure the text in another 120 issues. [Contribution] The first contribution of this paper is the taxonomy of issue and information types and the second contribution is an in-depth analysis of the natural language data and the communication. This analysis showed, for example, that information with respect to prioritization and scheduling can be found in natural language data, whether the ITS supports such tasks in a structured way or not.
Comparison of the subject-oriented and the Petri net based approach for business process automation
(2015)
The subject-oriented modelling approach [5] significally differs from the classic Petri net based approach of many business process modeling languages like EPC [9], Business Process Model and Notation (BPMN) [11], and also Yet Another Workflow Language (YAWL) [10]. In this work, we compare the two approaches by modeling a case study called "Procure to Pay"[3], a typical business process where some equipment for a construction site is rented and finally paid. The case study is not only modelled but also automated using the Metasonic Suite for the subject-oriented and YAWL for the Petri net based approach.
IT-accessiblity is often treated as an orphan in companies. Even though the proportion of disabled people is substantial and people become older and more susceptible to disabilities. Besides cost factors, companies often do not have a plan how to implement and control IT-accessibility successfully. However, most companies are familiar with IT-maturity frameworks to evaluate and improve their own IT-infrastructure. It would facilitate dealing with IT-accessibility, if IT-maturity frameworks consider IT-accessibility and provide recommendations and solutions for a successful implementation. Therefore, this article conducts a review of an acknowledged IT-maturity framework with regard to its capability to enable implementation of IT-accessibility in an organization. The first part of this article will illustrate the motivation and background for the authors concern with such a topic. Afterwards the authors will introduce the reader to the reviewed IT-maturity framework and provide basic knowledge on IT-accessibility. The main part of the article will deal with the review of the applied IT-maturity framework and outline examples of critical capabilities for successfully implementing IT-accessibility in an organization. The final section will derive implications and close with planned future research activities in this field.