OOPS - Oldenburger Online-Publikations-Server (Univ. Oldenburg)
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Characterization of Jump-Diffusion Stochastic Dynamics: Analysis and Applications on Real World Data
Get PDFStochastic behavior can be observed in nature in the context of the interactions of nonlinear complex dynamical systems. These can be described by mathematical models and their stochastic nature can generally be separated into continuous and discontinuous contributions. In this thesis, the continuous contribution is considered to be a classical Brownian motion and the discontinuous part as a compound Poisson process. With these assumptions, a jump-diffusion stochastic differential equation is applied. These methods are applied in the field of snow physics and the energy conversion processes in wind turbines. Additionally, more thorough mathematical characterization is performed in order to introduce robust criteria to distinguish the continuous or discontinuous nature of the given data. Our studies approach the complex dynamics from a new perspective which allows us to have a better understanding of their complex nature
In Silico Design of Drug-Like Molecules with Evolutionary Algorithms and Transformers
Get PDFArtificial intelligence can help optimize molecules and discover new molecular structures. This work focuses on adapting state-of-the-art AI methods for various molecular representations to generate drug-like molecules. Emphasis is placed on evolutionary algorithms and transformers. Evolutionary algorithms are shown to be effective in optimizing molecules for multiple target properties. Transformers as generative neural models, on the other hand, leverage known molecular databases and enable the generation of novel molecules. This work demonstrates new ways of using transformers for spatial and graph representations. Finally, combination of transformers and evolutionary algorithms opens new possibilities for molecule generation
Menschmodellierung für adaptive Straßenfahrzeuge
Get PDFHuman-Cyber-Physical Systems (HCPS) sollen sicherheitskritische Situationen. Menschmodelle ermöglichen es dem HCPS dynamisch auf Zustände und Verhalten des Menschen einzugehen. So können sicherheitskritische Situationen, welche durch negativen Menschzustände oder Verhalten verursacht werden, im Vornherein verhindert beziehungsweise der Schaden minimiert werden. Im Zuge dieser Arbeit wurden verschiedene Modellierungsansätze für Intentions- und Zustandserkennung für die Verwendung von hochautonomen Fahrzeugen präsentiert. Hierbei wurde ein Fokus auf die Synthese verschiedener Datenquellen und eine etwaige Verbesserung der Modellleistung gelegt. Im Kontext von hochautonomen Fahrzeugen als HCPS wurden außerdem zwei weitere wichtige Aspekte untersucht: die Interaktion zwischen HAV und menschlichen Fahrer:innen und die Personalisierung von HAV. Beide Aspekte sind wichtig für die Nutzerakzeptanz der Technologie und somit auch die Einführung von HAV in die Gesellschaft
Formation and operation of a system of innovation for a new technology field in developing countries through collaborative networks: the case of smart grid in Indonesia
Get PDFActors, interaction, and infrastructure are often mentioned in technological innovation system (TIS) studies as the main components of a system of innovation. The detection of availability of those components in various case studies has been part of discussions for many years. But how the system of innovation itself could even exist and function to develop a specific type of technology, especially in less developed countries, is a further question that needs to be extensively addressed. This study explores the interaction between actors grouped in innovation networks as the main engine for building and implementing functions of a system of innovation in developing countries. In general, this study may help to provide inputs for formulating innovation policies and technological support agendas to expand the market of clean technologies in those nations
Advancing Agricultural Insurance in Uganda’s Climate Change Adaptation: Determinants, Challenges and Opportunities for Insurance Uptake
Get PDFAgricultural insurance is highly underscored as a key enabling conditions for implementing, accelerating and sustaining climate change adaptation. Despite its significance, uptake of agricultural insurance remains low with limited empirical knowledge on particularly in the context of small holder farming communities more vulnerable to the climate risks. Leveraging on consumer behavioral theories and data from 350 smallholder farmers, logistic regression was applied and key informant interviews to assess the determinants, challenges and opportunities for uptake of agricultural and identifies measures for its effective mainstreaming as a climate change adaptation strategy. The study concludes that agricultural insurance is loosely mainstreamed in the climate change adaptation framework for Uganda. Its adoption is influenced by a strong nexus between demand and supply side constraints particularly the farmer and farm characteristics, funding, structural and institutional factors
Functional connectivity of cognition-related brain networks in adults with fetal alcohol syndrome
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Design and implementation of multistage interconnection networks for SoC networks
No full textIn this paper the focus is on a family of Interconnection Networks (INs) known as Multistage Interconnection Networks (MINs). When it is exploited in Network-on-Chip (NoC) architecture designs, smaller circuit area, lower power consumption, less junctions and broader bandwidth can be achieved. Each MIN can be considered as an alternative for an NoC architecture design for its simple topology and easy scalability with low degree. This paper includes two major contributions. First, it compares the performance of seven prominent MINs (i.e. Omega, Butterfly, Flattened Butterfly, Flattened Baseline, Generalized Cube, Beneš and Clos networks) based on 45nm-CMOS technology and under different types of Synthetic and Trace-driven workloads. Second, a network called Meta-Flattened Network (MFN), was introduced that can decrease the blocking probability by means of reduction the number of hops and increase the intermediate paths between stages. This is also led into significant decrease in power consumption