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The design of an efficient digital circuit in term of low-power has become a very challenging issue. For this reason, low-power digital circuit design is a topic addressed in electrical and computer engineering curricula, but it also requires practical experiments in a laboratory. This PhD research investigates a novel approach, the low-power design laboratory system by developing a new technical and pedagogical system. The low-power design laboratory system is composed of two types of laboratories: the on-site (hands-on) laboratory and the remote laboratory. It has been developed at the Bonn-Rhine-Sieg University of Applied Sciences to teach low-power techniques in the laboratory. Additionally, this thesis contributes a suggestion on how the learning objectives can be complemented by developing a remote system in order to improve the teaching process of the low-power digital circuit design. This laboratory system enables online experiments that can be performed using physical instruments and obtaining real data via the internet. The laboratory experiments use a Field Programmable Gate Array (FPGA) as a design platform for circuit implementation by students and use image processing as an application for teaching low-power techniques.
This thesis presents the instructions for the low-power design experiments which use a top-down hierarchical design methodology. The engineering student designs his/her algorithm with a high level of abstraction and the experimental results are obtained and measured at a low level (hardware) so that more information is available to correctly estimate the power dissipation such as specification, latency, thermal effect, and technology used. Power dissipation of the digital system is influenced by specification, design, technology used, as well as operating temperature. Digital circuit designers can observe the most influential factors in power dissipation during the laboratory exercises in the on-site system and then use the remote system to supplement investigating the other factors. Furthermore, the remote system has obvious benefits such as developing learning outcomes, facilitating new teaching methods, reducing costs and maintenance, cost-saving by reducing the numbers of instructors, saving instructor time and simplifying their tasks, facilitating equipment sharing, improving reliability, and finally providing flexibility of usage the laboratories.
For many different applications, current information about the bandwidth-related metrics of the utilized connection is very useful as they directly impact the performance of throughput sensitive applications such as streaming servers, IPTV and VoIP applications. In literature, several tools have been proposed to estimate major bandwidth-related metrics such as capacity, available bandwidth and achievable throughput. The vast majority of these tools fall into one of Packet Pair (PP), Variable Packet Size (VPS), Self-Loading of Periodic Streams (SLoPS) or Throughput approaches. In this study, seven popular bandwidth estimation tools including nettimer, pathrate, pathchar, pchar, clink, pathload and iperf belonging to these four well-known estimation techniques are presented and experimentally evaluated in a controlled testbed environment. Differently from the rest of studies in literature, all tools have been uniformly classified and evaluated according to an objective and sophisticated classification and evaluation scheme. The performance comparison of the tools incorporates not only the estimation accuracy but also the probing time and overhead caused.
Estimation of Prediction Uncertainty for Semantic Scene Labeling Using Bayesian Approximation
(2018)
With the advancement in technology, autonomous and assisted driving are close to being reality. A key component of such systems is the understanding of the surrounding environment. This understanding about the environment can be attained by performing semantic labeling of the driving scenes. Existing deep learning based models have been developed over the years that outperform classical image processing algorithms for the task of semantic labeling. However, the existing models only produce semantic predictions and do not provide a measure of uncertainty about the predictions. Hence, this work focuses on developing a deep learning based semantic labeling model that can produce semantic predictions and their corresponding uncertainties. Autonomous driving needs a real-time operating model, however the Full Resolution Residual Network (FRRN) [4] architecture, which is found as the best performing architecture during literature search, is not able to satisfy this condition. Hence, a small network, similar to FRRN, has been developed and used in this work. Based on the work of [13], the developed network is then extended by adding dropout layers and the dropouts are used during testing to perform approximate Bayesian inference. The existing works on uncertainties, do not have quantitative metrics to evaluate the quality of uncertainties estimated by a model. Hence, the area under curve (AUC) of the receiver operating characteristic (ROC) curves is proposed and used as an evaluation metric in this work. Further, a comparative analysis about the influence of dropout layer position, drop probability and the number of samples, on the quality of uncertainty estimation is performed. Finally, based on the insights gained from the analysis, a model with optimal configuration of dropout is developed. It is then evaluated on the Cityscape dataset and shown to be outperforming the baseline model with an AUC-ROC of about 90%, while the latter having AUC-ROC of about 80%.
Sind kleinere und mittlere Unternehmen (KMU) bereits auf die Digitale Transformation vorbereitet?
(2018)
Eine von den Autoren durchgeführte Untersuchung konnte deutliche Indizien dafür ausmachen, dass viele kleinere und mittlere Unternehmen (KMU) aktuell noch keine ausreichende Reife zur Digitalen Transformation haben. Zur Lösung des Problems wird vorgeschlagen, ein agiles IT-Management-Konzept zu entwickeln, um den IT-Bereich dynamisch und ohne formalen Ballast des klassischen IT-Managements zu steuern.
Digitalisierung für kleinere und mittlere Unternehmen (KMU): Anforderungen an das IT-Management
(2018)
Once aberrantly activated, the Wnt/βcatenin pathway may result in uncontrolled proliferation and eventually cancer. Efforts to counter and inhibit this pathway are mainly directed against βcatenin, as it serves a role on the cytoplasm and the nucleus. In addition, speciallygenerated lymphocytes are recruited for the purpose of treating liver cancer. Peripheral blood mononuclear lymphocytes are expanded by the timely addition of interferon γ, interleukin (IL)1β, IL2 and anticluster of differentiation 3 antibody. The resulting cells are called cytokineinduced killer (CIK) cells. The present study utilised these cells and combine them with drugs inhibiting the Wnt pathway in order to examine whether this resulted in an improvement in the killing ability of CIK cells against liver cancer cells. Drugs including ethacrynic acid (EA) and ciclopirox olamine (CPX) were determined to be suitable candidates, as determined by previous studies. Drugs were administered on their own and combined with CIK cells and then a cell viability assay was performed. These results suggest that EAtreated cells demonstrated apoptosis and were significantly affected compared with untreated cells. Unlike EA, CPX killed normal and cancerous cells even at low concentrations. Subsequent to combining EA with CIK cells, the potency of killing was increased and a greater number of cells died, which proves a synergistic action. In summary, EA may be used as an antihepatocellular carcinoma drug, while CPX possesses a high toxicity to cancerous as well as to normal cells. It was proposed that EA should be integrated into present therapeutic methods for cancer.
BWL kompakt für Dummies
(2018)
"BWL kompakt für Dummies" bietet Ihnen eine verständliche Einführung in die Betriebswirtschaftslehre, egal ob Sie sie für die Aus- oder Weiterbildung brauchen oder sich einfach schlau machen wollen. Tobias Amely stellt Ihnen die wesentlichen Elemente und Grundbegriffe der Betriebswirtschaftslehre vor und zeigt die Bezüge zur Unternehmenspraxis auf: Materialwirtschaft, Leistungsbereitstellung und Produktion, Marketing, Investition und Finanzierung, Unternehmensorganisation und -führung, Rechnungswesen und Controlling.
BWL-Formeln für Dummies
(2018)
Können Sie sich auch Formeln so schlecht merken? Das ist mit diesem handlichen Nachschlagewerk auch gar nicht mehr nötig! Der Autor des Bestsellers "BWL für Dummies" Tobias Amely hat für Sie die wichtigsten BWL-Formeln zusammengestellt. Zu jeder Formel finden Sie auch gleich ein anschauliches Beispiel, wie sie eingesetzt wird und eine Erklärung, wofür man sie eigentlich braucht. "BWL-Formeln für Dummies" ist also viel mehr als eine reine Auflistung von Formeln.
Investition und Finanzierung sind wichtige Themen in der Unternehmenspraxis und im Studium der Betriebswirtschaftslehre. Dieses Buch führt Sie anhand anschaulicher Beispiele in die Grundlagen des Themas ein und zeigt die Ziele finanzwirtschaftlichen Handelns auf. Tobias Amely und Christine Immenkötter zeigen Ihnen die Grundzüge der Finanzwirtschaft und stellen Ihnen die wichtigsten Instrumente sowohl der Außen- und Innenfinanzierung als auch des Finanzmanagements vor. Lernen Sie die statische und dynamische Investitionsrechnung kennen und erfahren Sie, was man über Investitionen in Wertpapiere wissen muss. So liefert Ihnen dieses Buch im bewährten ... für Dummies-Stil einen guten und leicht verständlichen Überblick über alle wichtigen Themen der Investition und Finanzierung. (Verlagsangaben)
Umwelt: Technologien, um die Folgen des Klimawandels zu begrenzen, gibt es. Die soziale und politische Dimension ist der Hemmschuh, so dass sie teils nur zögernd zum Einsatz kommen.
Die Redaktion der VDI nachrichten betreute drei Studierende, die aktuell von jedem Vortrag einen Artikel für unser Ingenieurportal www.ingenieur.de schrieben sowie eine Meldung für die VDI-nachrichten-E-Paper-App. Dieser Artikel ist das Resümee der drei zur Ringvorlesung, aber keine inhaltlich komplette Zusammenfassung. Alle Artikel lesen Sie online unter: www.ingenieur.de/Ringvorlesung2018
ICT has traditionally been a hostile territory for women. In information societies, this implies a drastic reduction in opportunities and autonomy for women. In emergent economies, the situation is even worse due to women’s subordinate status in society and little research regarding the intersection between gender and the digital divide. Such is the case in Latin America. In light of this, the purpose of this essay is to introduce a first comprehensive review of the few studies made in Latin America, against the background of the history of women’s digital exclusion. Based on a review of literature, we identify the main causes for women’s digital exclusion in the region and talk about the prospects for development of gender policies in the BRICS countries (Brazil, Russia, India, China and South Africa). We conclude that what this group of countries may achieve in regard to gender equality, will mark the future of the world. The aim of this essay is to make a call for the creation of inter - national research networks and propose the BRICS as host for these efforts, as they combine characteristics that will make them leaders of change in vast regions.
Softwarenutzung im Umbruch: Von der Software-Lizenz zum Cloudbasierten Business Process Outsourcing
(2018)
This Business English course in entrepreneurship goes beyond communicative language instruction and offers a course designed to introduce students to innovative thinking, entrepreneurship and sustainable business practices. About 120 students in their first year are enrolled as part of the required foreign language module in Business Management (B.Sc.). Each week students learn new concepts and terminology in sustainable business practices while applying the material in a simulation task-based course using English as a lingua franca. It prepares students to work in an international context while offering online components for autonomous learning. This 12-14 week course is designed in a student-centered and blended learning format with a flipped classroom approach. Through a grant from the German Federal Ministry of Education and Research the “work&study project” will offer additional online materials by developing new educational apps to enhance autonomous language learning and making the app content available under the Creative Commons license. The research project focuses on offering new learning environments to enhance the opportunities for non-traditional students enrolled at Bonn-Rhein-Sieg University of Applied Sciences. This paper will focus on the development of the first apps and results of the first testing phase. It shows how game-based learning and elements of gamification were added for educational purposes to enhance teaching and learning processes that were already well established.
Telecollaborating and communicating in online contexts using English as a Lingua Franca (ELF) requires students to develop multiple literacies in addition to foreign language skills and intercultural communicative competence. This chapter looks at the intersection of technology and teaching ELF, examining mutual contributions of technologies, more specifically Web 2.0, and ELF to each other, and the challenges in designing and implementing collaboration projects across cultures. Moreover, it looks at how the development of digital competencies in ELF (DELF) can be enhanced through the implementation of Web 2.0 mediated intercultural dialogues. The detail of the research design including internet tools used, participants and tasks are also discussed. Data analysis points to a positive attitude towards telecollaboration, also providing confirmation of some of the problems identified in theoretical framework, such as different levels of personal engagement.
Technische Innovationen verändern den Alltag enorm – auch den von Journalisten. Technik-Fachjournalisten sind daher gefragt wie nie. Was sie können müssen, wie in den Medien über Digitalisierung berichtet wird und inwiefern künstliche Intelligenz (KI) Journalisten in Zukunft überflüssig machen wird, beantwortet der Medienwissenschaftler Andreas Schümchen im Gespräch mit dem "Fachjournalist".
Die im Jahre 2013 begonnene Workshop-Reihe „Usability in der betrieblichen Praxis“ auf der Mensch und Computer wird mit diesem Workshop als Aktivität des Mittelstand 4.0-Kompetenzzentrums Usability des BMWi fortgesetzt. Unter dem Stichwort „Digitalisierung“ ergeben sich neue Herausforderungen der Umsetzung von Usability und positiver User Experience (UUX) in der betrieblichen Praxis kleiner und mittelständischer Unternehmen (UUX-Praxis). Diese werden in vier Schwerpunktthemen im Workshop behandelt: „UUX - Erfolgsfaktor für Innovation und Zukunft der Arbeit“, „UUX und digitale Nutzerforschung“, „UUX und Agilität“ sowie „UUX - Unterstützung mittelständischer Unternehmensnetzwerke“. Der Workshop richtet sich an Entwicklungs- und UUX-Praktiker aus Softwareentwicklungs-, Anwendungs- und UUX-Beratungsunternehmen sowie Wissenschaftler, die sich mit Umsetzung der UUX-Praxis in Unternehmen beschäftigen.
Innovative Technologien, veränderte Anbieterstrukturen, stets neue Leistungsangebote und wandelnde Kundenanforderungen prägen und verändern von Beginn an das Erscheinungsbild des TK-Marktes. Unter Berücksichtigung einer Betrachtung im Zeitablauf lässt sich der Markt in drei aufeinanderfolgende Phasen einteilen: 1. Marktöffnung, 2. Konsolidierung und Optimierung, 3. Automatisierung. Die Phasen sind selbstverständlich nicht Überschneidungsfrei, geben jedoch einen Hinweis auf die strukturellen Veränderungen des Marktes.
Amaç: Keton cisim oluşumu (ketogenez) bozuklukları; mitokondriyel 3-hidroksi-3metil glutaril CoA sentaz (Mhs) ve 3-hidroksi-3-metil glutaril CoA liyaz (HL) enzim eksiklikleri sonucu oluşur. Keton cisim yıkımı (ketoliz) bozuklukları ise suksinil CoA: 3 oksoasit CoA transferaz (SCOT) ve asetoasetil CoA thiolaz-beta ketotiolaz (MAT) enzim eksiklikleri sonucu oluşmaktadır. Keton metabolizma bozukluğu tanısıyla izlenen hastaların klinik ve laboratuvar bulguları ile değerlendirilmesi amaçlandı.
Yöntem: Keton metabolizması bozukluğu tanısıyla izlenen hasta verileri retrospektif olarak incelendi.
Bulgular: Dört hastada HL eksikliği, 3 hastada MAT eksikliği ve 2 hastada SCOT eksikliği tanısı mevcuttu. Hastaların ortanca yaşı 5 yıl (6 ay-15,5 yıl), ilk metabolik dekompanzasyon atak yaşı ortalama 7,7 ay (22 gün-19 ay) idi. MAT eksikliği olan bir hasta, kardeş taraması ile asemptomatik dönemde tanı aldı. İki hastada spastik tetraparezi gibi ağır nörolojik defisit gelişti. Dekompanzasyon ataklarının beslenememe, kusma ve gastroenterit gibi infeksiyon sonrası geliştiği görüldü.
Sonuç: Açıklanamayan metabolik asidoz atakları durumunda keton metabolizma bozuklukları akılda tutulmalıdır. Akut dekompanzasyon değişik yaşlarda ortaya çıkabilir, klinik şiddeti değişken olabilir. Erken tanı ve uygun tedavi mortalite ve morbidite açısından çok önemlidir.
Gesellschaftliche Verantwortung von Familienunternehmen – theoretische Zusammenhänge und Messung
(2018)
This policy brief is part of a wider research project entitled ‘Building the Economic Case for Investments in Social Protection’. The research aims at demonstrating the potential impacts of social protection on inclusive growth. The project is a collaborative effort between the Maastricht Graduate School of Governance at the University of Maastricht and United Nations University-MERIT, NL; the Global Development Institute at the University of Manchester, UK; the School of Social Science at the University of Makerere, Uganda; and the Expanding Social Protection Programme of the Ugandan Ministry of Gender, Labour and Social Development. This project is part of the research agenda of the Knowledge Platform Inclusive Development Policies and funded by the Ministry of Foreign Affairs of the Netherlands through the NWO-WOTRO programme.
Persons with disabilities have much lower employment rates than the population as a whole and are at a significantly higher risk of living in poverty (OECD, 2011, pp. 50-56 and WHO, 2011, pp. 237-239). However, many of the barriers people with disabilities face, with regards to labor market reintegration, are in fact avoidable. There has for quite some time been evidence that differences in employment and wages, between disabled and non-disabled workers, can only to a limited extent be explained by differences in human capital endowments and productivity (Kidd, Sloane, & Ferko, 2000). Instead, factors such as the absence of access to education and training, and the lack of financial assistance provided are actually significant drivers of labor market exclusion (OECD, 2009, p.15; WHO, 2011, p.239).
Die Diskussion um die Nachhaltigkeit von Dienstleistungen im öffentlichen Sektor steht in einem engen Zusammenhang mit der Frage, ob sich der Einsatz finanzieller Mittel für die Beteiligten lohnt. Daher besteht ein breites Interesse, herauszufinden, ob der Nutzen von Rehabilitationsarbeit auch finanziell messbar ist, und falls ja, wie hoch das ökonomische Potential der Investitionen ist. Um diese Frage zu beantworten, ist es notwendig Leistungen sowie die dadurch anfallenden Ausgaben statistisch zu erfassen und in einem ökonomischen Modell zu bewerten.
Design optimization techniques are often used at the beginning of the design process to explore the space of possible designs. In these domains illumination algorithms, such as MAP-Elites, are promising alternatives to classic optimization algorithms because they produce diverse, high-quality solutions in a single run, instead of only a single near-optimal solution. Unfortunately, these algorithms currently require a large number of function evaluations, limiting their applicability. In this article we introduce a new illumination algorithm, Surrogate-Assisted Illumination (SAIL), that leverages surrogate modeling techniques to create a map of the design space according to user-defined features while minimizing the number of fitness evaluations. On a two-dimensional airfoil optimization problem SAIL produces hundreds of diverse but high-performing designs with several orders of magnitude fewer evaluations than MAP-Elites or CMA-ES. We demonstrate that SAIL is also capable of producing maps of high-performing designs in realistic three-dimensional aerodynamic tasks with an accurate flow simulation. Data-efficient design exploration with SAIL can help designers understand what is possible, beyond what is optimal, by considering more than pure objective-based optimization.
Surrogate-assistance approaches have long been used in computationally expensive domains to improve the data-efficiency of optimization algorithms. Neuroevolution, however, has so far resisted the application of these techniques because it requires the surrogate model to make fitness predictions based on variable topologies, instead of a vector of parameters. Our main insight is that we can sidestep this problem by using kernel-based surrogate models, which require only the definition of a distance measure between individuals. Our second insight is that the well-established Neuroevolution of Augmenting Topologies (NEAT) algorithm provides a computationally efficient distance measure between dissimilar networks in the form of "compatibility distance", initially designed to maintain topological diversity. Combining these two ideas, we introduce a surrogate-assisted neuroevolution algorithm that combines NEAT and a surrogate model built using a compatibility distance kernel. We demonstrate the data-efficiency of this new algorithm on the low dimensional cart-pole swing-up problem, as well as the higher dimensional half-cheetah running task. In both tasks the surrogate-assisted variant achieves the same or better results with several times fewer function evaluations as the original NEAT.
This policy brief investigates the costs of child poverty in the Balkans, including deprivation in terms of education, health, and social mobility. It then lays out the potential of social protection, most notably in terms of building resilence and fostering development. Set against recent case studies from around the world, including Cambodia and Uganda, the brief gives policy recommendations on various critical issues including transfer schemes, transformative measures, and (alternative) care for children with disabilities.
Mehr machen, weniger planen!
(2018)
Im Zusammenhang mit der Rhythmisierung des Schulalltags spielen Pausen eine wichtige Rolle. Dass Pausen für die Regeneration und Wiederherstellung der Leistungsfähigkeit bedeutsam sind, scheint allgemein anerkannt. Die Autoren fassen im folgenden Beitrag zusammen, welche wissenschaftlichen Erkenntnisse es über die Effekte der Gestaltung und der Dauer von Pausen gibt.