Global ETD Search

1	Strategies for collective minimalist mobile robots Melhuish, C. R. January 1999 (has links) No description available. 629.892
2	A Negotiation Protocol for Optimal Decision Making by Collaborating Agents Paliwal, Divya 21 October 2013 (has links) No description available. Computer Science Multi Agent negotiation Distributed Problem Solving Distributed Intelligence
3	Distributed Artificial Intelligence Based on Edge Computing Fagerström, Rebecca, Neüman, Simon January 2023 (has links) The future Internet is expected to be driven by the prevalence of the Internet of Things (IoT), where it is envisioned that anything can be connected. In the last decade, there has been a paradigm shift in IoT from centralized cloud computing to so-called edge computing in order to compute tasks closer to the source of data generation. However, IoT still faces some major challenges when it comes to computational, storage and network. Therefore, this systematic literature review aims to investigate how edge computing can assist in accomplishing distributed intelligence in IoT systems and the known challenges and barriers. Using the PRISMA guidelines, a systematic database search and selection process was carried out to find relevant research on the topic. The data analysis method chosen for this study is content analysis, which aids in structuring and categorizing the data, allowing for the application of a coding process. By using content analysis and following the selection criteria, 15 out of 53 papers were chosen to be reviewed, published between 2017 and part of 2023. One of the main challenges mentioned by all published papers was the resource constraint of IoT devices together with the growing amounts of data that have become a bottleneck in the system. Limited processing capacity makes it difficult for the devices to independently complete complex data processing and AI analysis. The distributed nature of edge computing relies on heavy information exchange between edge devices, thus creating a huge communication load that limits its efficiency. However, edge computing opens up a more natural way of processing data at the edge of the network which aims to bring low latency, high reliability, distributed intelligence and network bandwidth for applications requiring real-time analysis. Internet of Things IoT Edge Computing Distributed Intelligence Artificial Intelligence AI Computer Sciences Datavetenskap (datalogi)
4	Miniaturized Multifunctional System Architecture for Satellites and Robotics Bruhn, Fredrik January 2005 (has links) This thesis describes and evaluates the design of nanospacecraft based on advanced multifunctional microsystems building blocks. These systems bring substantial improvements of the performance of nanosatellites and enable new space exploration, e.g. interplanetary science missions using minute space probes. Microsystems, or microelectromechanical systems, allows for extreme miniaturization using heritage from IC industry. Reducing mass and volume of spacecraft gives large savings in terms of launch costs. Definition and categorization of system and module level features in multifunctional microsystems are used to derive a spacecraft optimization algorithm which is compatible with commonly used concurrent engineering methods. The miniaturization of modules enables modular spacecraft architectures comprising powerful multifunctional microsystems, which are applicable to satellites between 10 and 1000’s of kg. This kind of complete spacecraft architecture has been developed for the NanoSpace-1 technology demonstrator satellite. The spacecraft bus uses multifunctional design to enable distributed intelligence and autonomy, graceful degradation, functional surfaces, and distributed power systems. The increase in performance of the new spacecraft architecture as compared with conventional nanosatellites is orders of magnitudes in terms of power storage, scientific payload mass ratio, pointing stabilization, and long time space operation. This high-performance system-of-microsystems architecture has been successfully employed on two space robotic concepts: a miniaturized submersible vehicle for Jupiter’s Moon Europa and a miniaturized spherical robot. The submersible is enabled by miniaturization of electronics into 3-dimensional, vertically integrated multi-chip-modules together with new interconnection methods. These technologies enabled the submersible vehicle tube-shaped design within 20 cm length and 5 cm diameter. The spherical rover was developed for long range and networked science investigations of interplanetary bodies. The rover weighs 3.5 kg and is shown to endure direct reentry on Mars, which increases the ratio between the landed mobile payload mass and the initial mass in Mars orbit by a factor of 18. Space technology Multifunctional design Spacecraft Robotics Microengineering MEMS Exploration Distributed intelligence Mission Design Rymdteknik Space engineering Rymdteknik
5	Distribution de l'intelligence et approche hétérarchique des marchés de l'énergie distribués dans les Smart Grids / Distributed intelligence and heterarchical approach of distributed balancing markets in smart grids Vanet, Emmanuelle 27 September 2016 (has links) En lien étroit avec le projet européen DREAM, le sujet de thèse s’intègre dans les évolutions opérationnelles des réseaux de distribution de demain intégrant de larges quantités d'énergies renouvelables. Un contrôle centralisé de l'ensemble des acteurs est, certes globalement optimal mais complexe et peu fiable. L'étude porte sur la faisabilité d'un contrôle distribué, auto-adaptatif et temps réel des ressources locales et des composants du réseau. La piste principale explorée correspond à des agents autonomes qui peuvent construire des structures collaboratives ad-hoc suivant les besoins du réseau. Ces structures collaboratives adresseront divers modes de fonctionnement, du marché de l'énergie J-1 à infraday au marché d'ajustement (services systèmes) et au contrôle local (fréquence et auto-cicatrisation). / In close relationship with the European project DREAM, this doctoral thesis focus on operational evolutions in tomorrow’s distribution networks wich will integrate a larger amount of distributed renewable resources. A centralized control of all the entities (from controllable loads to embedded generators) is overall optimal but complex and not so reliable. This study addresses the feasibility of a distributed control, autonomous, self-learning and real time operation of local resources and network’s components. The main concern to explore will be the creation of ad-hoc federations of agents that will flexibly adjust their hierarchy to current needs. These collaborative structures will use different coordination strategies ranging from market-based transactions, to balancing optimization market (ancillary services) and to local control (frequency control and self-healing). Réseau de distribution intelligents Mécanismes d'ajustement distribués Optimisation des pertes Intelligence distribuée Intéractions GRD-GRT Planification opérationnelle Smartgrid Distributed balancing markets Network losses optimization Distributed intelligence DSO-TSO interactions Operational planning 620
6	A Framework for Interoperability on the United States Electric Grid Infrastructure Laval, Stuart 01 January 2015 (has links) Historically, the United States (US) electric grid has been a stable one-way power delivery infrastructure that supplies centrally-generated electricity to its predictably consuming demand. However, the US electric grid is now undergoing a huge transformation from a simple and static system to a complex and dynamic network, which is starting to interconnect intermittent distributed energy resources (DERs), portable electric vehicles (EVs), and load-altering home automation devices, that create bidirectional power flow or stochastic load behavior. In order for this grid of the future to effectively embrace the high penetration of these disruptive and fast-responding digital technologies without compromising its safety, reliability, and affordability, plug-and-play interoperability within the field area network must be enabled between operational technology (OT), information technology (IT), and telecommunication assets in order to seamlessly and securely integrate into the electric utility's operations and planning systems in a modular, flexible, and scalable fashion. This research proposes a potential approach to simplifying the translation and contextualization of operational data on the electric grid without being routed to the utility datacenter for a control decision. This methodology integrates modern software technology from other industries, along with utility industry-standard semantic models, to overcome information siloes and enable interoperability. By leveraging industrial engineering tools, a framework is also developed to help devise a reference architecture and use-case application process that is applied and validated at a US electric utility. Interoperability grid energy matrix of change strategy map balanced scorecard data modeling ontology publish subscribe pub/sub protocols message oriented middleware service oriented architecture field message bus use case application framework reference architecture utility standards distributed system distributed intelligence peer to peer common information model cim data distribution service dds message queue telemetry transport mqtt protocol translation contextualization Engineering Industrial Engineering

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