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Prostate segmentation is an essential part of brachytherapy treatment planning, in order to perform the procedure with required accuracy. Nowadays, segmentation of the prostate is still carried out manually during the planning steps, therefore it is a process that can be tedious, time-consuming and prone to inter-observer error. Much effort has been made in development of an computer-based algorithm that can perform prostate segmentation automatically, but only with appearance of deep learning methods, more promising algorithms emerged. So far, convolutional neural networks demonstrated excellent results in fully automatic prostate segmentation. Development of such an algorithm and training an efficient deep learning model is a challenging task, and requires a lot of optimizations. The objective of this study is development and evaluation of an algorithm for image processing based on deep learning methods that can perform fully automatic segmentation of the prostate gland in transrectal ultrasound images. Additionally, we made an overview of the development process, along with challenges and their solutions and demonstrated an algorithm implemented using Python and Tensorflow library, consisted of preprocessing, augmentation, training and validation, postprocessing and validation steps, which is able to successfully carry out fully automatic prostate segmentation with expert level of accuracy. Finally, we presented our implementation of fully convolutional neural network model and results that are encouraging to continue with model improvements and potential clinical application.
The present research sought to deepen the debates about how the collector of recyclable material, a subject that has built his political resistance in the Brazilian scenario from the process of re-signification of garbage and his profession. Its empowerment observed from the end of the 20th century was concomitant with the growth of environmental discussions and the strengthening of the solidarity economy as an alternative for economic emancipation in Brazil. In this context, the individual who used to live on the margins of society established himself as a fundamental factor in the recycling chain and became an environmental agent. The question that guided the investigation was "how has the pandemic influenced waste pickers' solidarity organizations, given their challenges and opportunities?". In this context, two specific objectives were determined to be answered in the course of the research. The first sought to understand the relationship between the solidarity economy and the formation of waste picker collectives; the second aimed to identify the challenges and opportunities that could arise from these solidarity organizations' experiences. A vast theoretical analysis was conducted to understand the
foundations of the Solidarity Economy, an alternative to the informal economy and a form of economic empowerment especially considered for vulnerable populations, as a
way to include them economically. Using the case study of Belo Horizonte, a city with a history of alternative economic expressions and strengthened waste pickers' movements, we approached various actors of the recycling chain through qualitative research, using
the in-depth interviews approach.
Among other findings, the research noted that one of the greatest challenges of the post-pandemic Solidarity Economy is related to the expansion of the capitalist market to areas traditionally aggregated by the Solidarity Economy, because they were previously considered to be on the “margins of society”. However, these threats also
give room for opportunities, from responses that reinforce the legitimacy of cooperatives and associations, through their contractual adequacy with the City Hall for
the payment of the environmental service rendered, disconnected from the number of solid waste collected. We have learned that in the daily struggles and achievements of
the waste pickers, challenges and opportunities go hand in hand.
Patient engagement is the most important element in the process of research/development of medicinal products and healthcare management in today’s times. In a country like India which has a huge population and limited state of regulatory affairs it becomes important to walk the extra mile to protect the patient lives and truly serve them. Time and again it is seen that there is no or limited focus on patient centric processes and we still tend to focus on sponsors as the key stakeholder.
The author in this thesis aims to focus on the clinical trial landscape of India and determine if there is a need to improve the clinical trial processes. If yes, then what type of change is the audience looking for.
The author tries to introduce the human element in the process and remind us all that it is the ‘patients’ who are the centre for the drug development process and serving them and alleviating their pain in the true purpose of the process.
The author along with the helping us find a definition of patient centricity in India, also proposes a model that can be used by the Indian pharmaceutical companies to focus on patient centricity at different stages of the drug development cycle within their organisations.d
Financial technology, popularly known as Fintech, has disrupted and revolutionized the financial service sector. Today, institutions such as banks are adapting digital transformation with the help of technological devices. There is no doubt that Fintech has transformed the way we bank. Nevertheless, there has been a growing need of understanding the future of financial institution with a holistic approach. Regulatory and governmental support towards maximizing opportunity, minimizing risk, and integrating financial inclusion is needed to accelerate the economy and attain sustainable development.
The following thesis aims to study financial inclusion and how to achieve it in the Fintech industry. It comprises of four areas of influence; market, social, technology and regulatory while emphasizing on the economic development, social progress, uplifting digital finance and robust regulatory system in the globalized financial market. The research aims to close the gap among the regulatory, economic, technological and social aspects of Fintech and then develop a pathway to attain financial inclusion. In addition, the objective of the research is to provide a comprehensive strategic plan towards a prespecified future in finance. This was achieved with the help of normative scenario planning. The result was calculated using scenario planning software INKA 4. The result consisted of four distinct scenarios supporting the pathway to implement financial inclusion in Fintech sector by the year 2030.
The German banking landscape is currently undergoing a paradigm shift of an unprecedented magnitude. As the financial world is changing, the future of German banks is highly uncertain. A multitude of present-day driving factors will shape the banking world of tomorrow. Therefore, this thesis aims to investigate and analyze the future of the German banking sector until 2030. The concept of scenario planning serves as underlying method for this research. Based on current factors influencing the German banking sector, the present thesis systematically develops coherent future scenarios. The generation of these scenarios is performed with the help of the scenario software INKA 4. This enables to assess a comprehensive picture of the future environment and the interactions between external influencing factors. Based on the most consistent future scenario, implications for the strategies of German banks are derived. As a result, German incumbents can question their strategic orientation and position themselves optimally for the future.
Entrepreneurship research faces a crossroads and a new approach is needed to better understand entrepreneurial behavior. Incorporating neuroscience to comprehend the entrepreneurial mindset seems promising. Nevertheless, the potential of neuroscience for entrepreneurship research is only slowly being realized. Based on an extensive literature review, this thesis examines the emerging role of neuroscience with respect to entrepreneurship. Referring to the model of the entrepreneurial process, this thesis investigates how entrepreneurs discover, exploit, and finally capture opportunities. In this context, explanations regarding trait, expertise, adaptation, and mindset of the entrepreneur are relevant for further examination. Moreover, decision-making in uncertain situations is analyzed. In this context, the dynamic interplay between the reflective and reflexive system is considered. Ultimately, this thesis provides recommendations for organizational innovation to enhance entrepreneurial
activity.
Over the past few decades, there has been an increasing amount of academic literature recognizing the significance of innovation systems. Entrepreneurship is an important component of an innovation system, contributing to the enhancement of regional as well as national innovation. The transfer of knowledge and technology between science and the economy has become particularly important to reinforce overall innovation performance. Today, universities and other institutions of higher education play a crucial role in the system of innovation and have evolved as active and highly relevant participants in the innovation system. Therefore, various supportive measures have been developed to increase the level of innovation at universities and to drive entrepreneurial activities. However, due to the ever-growing entrepreneurial support environment and the great variety of support programs,the distinction between support measures has become unclear. Consequently, the main objective of the present research work is to contribute to the overall understanding of supportive measures at German universities and other institutions of higher education.
Eight experts were interviewed to ensure the compilation of meaningful data. The research findings highlight the importance of a solid network of external experts as well as collaboration with other entrepreneurial institutions. Moreover, the research results indicated that an organizational structure with decentralized decision-making processes and a greater scope of actions enhances operational efficiency. While considering the indistinctness of different support programs and specific terms, although some significant differences were evaluated, overall, the results present a clear tendency toward a more cautious use of specialist terms, therefore substantiating the missing preciseness.
In der vorliegenden Masterarbeit wurden verschiedene Ansteuerungsstrategien für den Betrieb von dreiphasigen Active-Neutral-Point-Clamped- (ANPC) Mittelspannungs-Netzumrichtern mit Siliziumkarbid (SiC) Halbleiterschaltelementen untersucht. Durch die Vielzahl an aktiven Schaltelementen können bei der ANPC-Topologie zur Modellierung des gewünschten Ausgangssignals zahlreiche unterschiedliche Ansteuerungsstrategien eingesetzt werden. Je nach gewählter Ansteuerungsstrategie können so unter anderem die Faktoren Schalt- und Durchlassverluste, Wirkungsgrad, Verlustverteilung, Schalter- und Ausgangsschaltfrequenz, der Oberschwingungsanteil des Ausgangssignals, sowie die maximale Spannungsbelastung der Halbleiter beeinflusst werden.
Neben der elektrotechnischen Beschreibung der aktuell eingesetzten Umrichter-Technologien wurden in dieser Arbeit primär aus aktuellen Veröffentlichungen und Dissertationen verschiedene Möglichkeiten für die Ansteuerung von ANPC-Umrichter zusammengetragen und insgesamt sieben Sinus-Pulsweiten-Modulationsstrategien (S-PWM) im Detail untersucht. Hierbei wurde für jede vorgestellte Modulationsstrategie das Grundfunktionsprinzip aufgezeigt und analysiert, sowie die sich daraus ergebenden Vor- und Nachteile herausgearbeitet.
Anschließend wurden alle vorgestellten S-PWM-Strategien in der Schaltungssimulationssoftware PLECS implementiert und diese in verschiedenen Betriebszuständen simuliert. Die Simulation ergab, dass sich bei der ANPC-ALD-Strategie eine bestmögliche Verlustverteilung zwischen den Halbleiterelementen einstellt, bei der ANPC-OOZS-Strategie die geringsten Durchlassverluste entstehen und bei den Strategien ANPC-DF, -12, -R2:1 und -SSLD im Bereich der Nulldurchgänge des Ausgangssignals an den inneren Halbleitern kurzzeitige kritische Überspannungen auftreten. Bei den Strategien ANPC-11-Sync, -ALD und -OOZS treten dagegen keine Überspannungen an den Halbleitern auf.
Ausgehend von diesen Simulationsergebnissen wurden die Strategien ANPC-DF, -ALD und -OOZS für den potentiellen Einsatz in Mittelspannungsumrichtern ausgewählt, auf einem FPGA-Board implementiert und damit eine geeignete Niederspannungstestplattform in Betrieb genommen. Durch praktische Messungen auf dieser Testplattform konnten die Simulationsergebnisse in einem ersten Schritt verifiziert werden. Sowohl das erstellte Simulationsmodell als auch die in Betrieb genommene Testplattform können somit zukünftig für weitere Untersuchungen im Bereich der ANPC-Umrichter-Ansteuerungsstrategien eingesetzt werden.
Digital twin as a service : Ressourcenmanagement mit Energiedaten aus cyber-physischen Systemen
(2019)
Die Energiewende führt zu einer Paradigmenänderung. Der Zeitpunkt der Energieabnahme wird sich zunehmend an dem der Energieerzeugung orientierten. Die Steuerung des Energiebedarfs kann durch energieorientierte Produktionsplanung gesteigert werden. Dies erfordert eine Vorhersage des Energiebedarfs. Hierfür wird ein System entwickelt, das eine Modellierung mittels maschinellen Lernens nutzt. Die Datenbasis wird durch eine Vorgehensweise zur Abstrahierung von Fertigungsmaschinen erzeugt. Das System besteht aus gruppierten Microservices, es berücksichtigt die unterschiedlichen Anforderungen der Modelle an die Infrastruktur. Die Modelle sind in digitalen Zwillingen integriert, die als Dienst genutzt werden. Hierdurch ist eine effiziente Adaption von ˜Äderungen an Fertigungsmaschine oder Modell-Methodik möglich. Eine exemplarische Anwendung der Abstraktionsmethode und der Modellierung mittels neuronalen Netzes demonstrieren die Umsetzbarkeit.
Im Rahmen dieser Master-Thesis wurden Verfahren zum Transfer eines Arrays kleiner Dies (unverkapselte Chips) mit einer Kantenlänge von 250 μm bis 300 μm untersucht. Die Dies sollten hierbei von UV-lichtempfindlicher Folie selektiv abgehoben und auf einem Zielsubstrat abgesetzt werden. Als Verfahren wurde die Stempeltechnologie gewählt. Zum Aufnehmen der Dies wurden Stempel aus Silikon gegossen. Als Substrate zum Absetzen der Dies wurden Gläser mit Zucker beschichtet. Zur Überprüfung des Verfahrens wurden Zugversuche durchgeführt. Die senkrechte Abzugskraft der verwendeten Folie und der Silikonstempel wurde ermittelt. Durch Abzugstests der Folie im belichteten und unbelichteten Zustand wurden die genutzten Belichtungsprozesse überprüft. Das Umsetzen wurde mit gesägten Stücken eines Siliziumwafers durchgeführt. Es konnte nachgewiesen werden, dass das Umsetzen mit Silikonstempeln möglich ist und die erzeugten Kräfte hierfür ausreichen. Die Herstellung und Vorbereitung der gesägten Siliziumwürfel erwies sich hierbei als kritischer Prozess, was die Reproduzierbarkeit der Umsetzung stark beeinträchtigt.