Effiziente Algorithmen der Positionsbestimmung und positionsbasierte Kontextgewinnung zur Selbstorganisation in drahtlosen Sensornetzwerken

Als zentrales Thema der Arbeit wird die Positionsbestimmung einzelner Knoten innerhalb drahtloser Sensornetzwerke betrachtet. Im zweiten Themenkomplex, der Clusterbildung, wird zum einen ein auf Lokalisierung aufbauendes Verfahren betrachtet. Zum anderen wird ein Algorithmus vorgestellt, welcher nicht auf die Ermittlung konkreter Positionen angewiesen ist. Das im dritten Themenkomplex betrachtete Verfahren zur Erkennung von Fehlern innerhalb drahtloser Sensornetzwerke bietet eine Möglichkeit, um Fehler innerhalb ermittelter Informationen in drahtlosen Sensornetzwerken zu erkennen.As its main topic this thesis deals with positioning of single nodes within wireless sensor networks. Clustering in wireless sensor networks forms the second part of this work. Two newly developed algorithms will be presented. One of them is based on location information. The other uses coarse grained localization technique but without the need for location information. The third topic of this thesis is about an algorithm newly developed to detect erroneous data at a sensor node

A Lightweight Fault-Detection Scheme for Resource-Constrained Solar Insecticidal Lamp IoTs

The Solar Insecticidal Lamp Internet of Things (SIL-IoTs) is an emerging paradigm that extends Internet of Things (IoT) technology to agricultural-enabled electronic devices. Ensuring the dependability and safety of SIL-IoTs is crucial for pest monitoring, prediction, and prevention. However, SIL-IoTs can experience system performance degradation due to failures, which can be attributed to complex environmental changes and device deterioration in agricultural settings. This study proposes a sensor-level lightweight fault-detection scheme that takes into account realistic constraints such as computational resources and energy. By analyzing fault characteristics, we designed a distributed fault-detection method based on operation condition differences, interval number residuals, and feature residuals. Several experiments were conducted to validate the effectiveness of the proposed method. The results demonstrated that our method achieves an average F1-score of 95.59%. Furthermore, the proposed method only consumes an additional 0.27% of the total power, and utilizes 0.9% RAM and 3.1% Flash on the Arduino of the SIL-IoTs node. These findings indicated that the proposed method is lightweight and energy-efficient

Generic framework for the reliability assessment of ageing offshore wind turbine jacket support structures.

Wind Europe annual report for 2019 shows that a significant amount of installed offshore wind turbines will reach their design service life in the next decade. Most of these structures will remain in service if granted permission for life extension. Life extension remains a complex decision given the limited experience in the offshore wind industry, and so structural integrity assessment of ageing structures is seen as a potential upcoming challenge. While the existing guidelines provide a general process for assessment, it is crucial to have robust offshore wind-specific guidelines by including relevant concepts and notation of the wider structural integrity assessment and models that can adequately account for the time-dependent degradation mechanism more accurately. Offshore wind turbine (OWT) support structures are exposed to harsh marine environments with considerable uncertainties in the environmental loads and soil properties, making structural integrity assessment difficult. Hence, reliability assessment is seen as the most suitable approach to methodically account for these uncertainties. In this thesis, a generic framework for assessing the reliability of ageing OWT jacket support structures is developed based on a non-intrusive formulation. A parametric finite element analysis (FEA) model of a typical OWT jacket support structure was developed incorporating operational and environmental load and soil-structure interactions in order to map its response under varying input conditions appropriately. The results from several FEA simulations have been analysed through multivariate regression, deriving performance functions and formulation of relevant limit states. for this assessment, five limit states were considered: deflection, buckling, vibration, ultimate and fatigue limit states. The reliability index under each limit state is then calculated using the first-order reliability method (FORM). The developed reliability assessment framework has been applied to the NREL 5MW OWT OC4 jacket design to determine the reliability of critical components of the structure. The results of this reliability assessment show that, for the given stochastic conditions, the structural components of the OWT jacket support structure are found to be within acceptable reliability levels as defined in DNV-OS-J101 Offshore wind turbine design standards. A robust inspection, maintenance and repair (IMR) plan, adequately executed, proved to boost the remaining life of the structure, thus, making life extension of ageing offshore structures more economical for owners of wind turbines and operators. The validity and applicability of the framework to the OWT industry were reviewed, and recommendations were made on the next steps required for the deployment of this framework in the offshore wind energy sector.Mehmanparast, Ali (Associate)PhD in Energy and Powe

Workshop on New Views of the Moon: Integrated Remotely Sensed, Geophysical, and Sample Datasets

It has been more than 25 years since Apollo 17 returned the last of the Apollo lunar samples. Since then, a vast amount of data has been obtained from the study of rocks and soils from the Apollo and Luna sample collections and, more recently, on a set of about a dozen lunar meteorites collected on Earth. Based on direct studies of the samples, many constraints have been established for the age, early differentiation, crust and mantle structure, and subsequent impact modification of the Moon. In addition, geophysical experiments at the surface, as well as remote sensing from orbit and Earth-based telescopic studies, have provided additional datasets about the Moon that constrain the nature of its surface and internal structure. Some might be tempted to say that we know all there is to know about the Moon and that it is time to move on from this simple satellite to more complex objects. However, the ongoing Lunar Prospector mission and the highly successful Clementine mission have provided important clues to the real geological complexity of the Moon, and have shown us that we still do not yet adequately understand the geologic history of Earth's companion. These missions, like Galileo during its lunar flyby, are providing global information viewed through new kinds of windows, and providing a fresh context for models of lunar origin, evolution, and resources, and perhaps even some grist for new questions and new hypotheses. The probable detection and characterization of water ice at the poles, the extreme concentration of Th and other radioactive elements in the Procellarum-Imbrium-Frigon's resurfaced areas of the nearside of the Moon, and the high-resolution gravity modeling enabled by these missions are examples of the kinds of exciting new results that must be integrated with the extant body of knowledge based on sample studies, in situ experiments, and remote-sensing missions to bring about the best possible understanding of the Moon and its history

Data and the city – accessibility and openness. a cybersalon paper on open data

This paper showcases examples of bottom–up open data and smart city applications and identifies lessons for future such efforts. Examples include Changify, a neighbourhood-based platform for residents, businesses, and companies; Open Sensors, which provides APIs to help businesses, startups, and individuals develop applications for the Internet of Things; and Cybersalon’s Hackney Treasures. a location-based mobile app that uses Wikipedia entries geolocated in Hackney borough to map notable local residents. Other experiments with sensors and open data by Cybersalon members include Ilze Black and Nanda Khaorapapong's The Breather, a "breathing" balloon that uses high-end, sophisticated sensors to make air quality visible; and James Moulding's AirPublic, which measures pollution levels. Based on Cybersalon's experience to date, getting data to the people is difficult, circuitous, and slow, requiring an intricate process of leadership, public relations, and perseverance. Although there are myriad tools and initiatives, there is no one solution for the actual transfer of that data