1,721,122 research outputs found
H2020 AVENUE Automated Minibusses data
No full textA large set of events and sensor data that was collected by NAVYA and HOLO throughout the 31'267 km of service that the AVENUE project’s Automated Minibusses drove on the roads of the three Danish and Norwegian demonstration sites over a period of more than 32 months. These data are made available online within the Open Research Data Pilot (ORDP) framework which aims to develop a Data Management Plan (DMP) and to provide open access to research data
H2020 AVENUE Automated Minibusses data
No full textA large set of captured sensors data, events data and user surveys that was collected during the H2020 AVENUE project’s Fully Automated public transport pilots using NAVYA Minibuses in Switzerland, Luxemburg, Denmark, and Norway over a period of more than 32 months. These data are made available online within the Open Research Data Pilot (ORDP) framework which aims to develop a Data Management Plan (DMP) and to provide open access to research data.
For more details about the data, please consult H2020 AVENUE deliverable "D7.15 Dissemination of pilot data collection
A programming model and execution environment for autonomous systems
No full textThis thesis presents the design and implementation of a programming model for autonomous systems. Autonomous systems are distributed systems based on wireless networks, mobile devices and the Internet. They are characterized by the high dynamics with which their configuration evolves. Ad hoc networks, a member of autonomous systems, illustrate this point since in these networks participants can join and leave at any time. Similarly in Peer-to-Peer networks, another member of autonomous systems, users can abruptly decide to no longer share their resources and to join only when needed. Besides voluntary disconnections decided by users, autonomous systems also suffer from disconnections caused by the infrastructure, e.g. network failures, latency, node failures, etc... Disconnections are therefore a key issue in autonomous systems. Programming distributed systems has always proven to be difficult, but programming distributed systems where disconnections play a major role is even more difficult
The theory of everything: A model that provides a unified solution for dealing with uncertainty in solving MCDM problems
No full textUncertainty is a fundamental aspect of the decision-making process, especially in Multi-Criteria Decision Making (MCDM) problems, where every stage of problem-solving involves some degree of uncertainty. MCDM problems are characterized by a framework of multiple criteria and alternatives, designed to achieve one or several objectives of the decision-making process. Ranging from everyday issues to highly complex industrial, military, and political challenges, MCDM problems have outcomes that can significantly impact many lives or incur substantial financial costs. Therefore, developing solutions that produce the least uncertain outputs is crucial.
Uncertainty in decision-making typically arises when decision-makers lack complete information about the elements of decision analysis or its outcomes. The primary aim of this paper-based doctoral dissertation is to offer a comprehensive solution, termed the 'theory of everything,' that addresses all sources of uncertainty in MCDM problems. Thirteen sources of uncertainty have been identified, including:
Decision-making goals
Decision-makers
Linguistic variables and scales
Conversion of uncertain to certain values
Weighting methods
MCDM method processes
Time
Missing information
Multi-layer problems
Philosophies and policies, encompassing the decision-making paradox
Validation
The Rank Reversal Paradox
To tackle each of these sources, various MCDM algorithms, statistical measures, novel scales, new numerical sets, a game, and a new theoretical framework were proposed. These solutions are detailed across eighteen scientific articles. In the final chapter, the unified model, including its components, properties, and limitations, is thoroughly discussed, offering a holistic approach to managing uncertainty in MCDM.</p
An approach to the dynamic evolution of software systems
No full textIn this PhD thesis we advocate that connections between different software entities hinders the ability to make applications evolve at runtime. Our goal is thus to free entities from connections. Therefore, we built a disconnected communication architecture based on three main concepts: associative naming, late binding and asynchrony of communications. Communication occurs following an all-service approach (e.g. a method is a service) where a service request and invocation occur through a semantic description. The choice of the service that best matches the description of the requested service is performed at the moment of the invocation. In the thesis, we describe several implementations of disconnected architectures and applications. An interesting result is that we were able to obtain 99.99% availability for a web server (4 restarts in 18 months) while having some parts of the code modified more than 160 times
Holistic Risk Assessment based on continuous data from the user's behaviour and environment
No full textIn contemporary society, risk is omnipresent and closely linked to our safety, now a major priority. Individuals evaluate and accept risks based on personal criteria. This thesis explores risk assessment in complex environments and the impact of third-party actions and events. The holistic risk assessment concept (HoloRisk) aims to develop a methodology and model considering elements beyond the individual's direct influence for personalized risk assessment. HoloRisk envisions future capabilities to collect and process vast amounts of real-time data about individuals and their environments. This assessment hinges on the interaction and correlation of these data. The thesis proposes integrating various data sources to identify complex relationships between different risk factors, surpassing traditional methods that fail to capture the dynamic nature of modern risks. Practical applications, such as traffic management, demonstrate HoloRisk's real-world benefits. In conclusion, the thesis significantly advances our understanding of risks in an interconnected world, anticipating challenges and opportunities in an era of rapid technological change and providing a solid framework for addressing these issues
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