6 resultados para Strongly Regular Graph

em AMS Tesi di Dottorato - Alm@DL - Università di Bologna


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The objective of the Ph.D. thesis is to put the basis of an all-embracing link analysis procedure that may form a general reference scheme for the future state-of-the-art of RF/microwave link design: it is basically meant as a circuit-level simulation of an entire radio link, with – generally multiple – transmitting and receiving antennas examined by EM analysis. In this way the influence of mutual couplings on the frequency-dependent near-field and far-field performance of each element is fully accounted for. The set of transmitters is treated as a unique nonlinear system loaded by the multiport antenna, and is analyzed by nonlinear circuit techniques. In order to establish the connection between transmitters and receivers, the far-fields incident onto the receivers are evaluated by EM analysis and are combined by extending an available Ray Tracing technique to the link study. EM theory is used to describe the receiving array as a linear active multiport network. Link performances in terms of bit error rate (BER) are eventually verified a posteriori by a fast system-level algorithm. In order to validate the proposed approach, four heterogeneous application contexts are provided. A complete MIMO link design in a realistic propagation scenario is meant to constitute the reference case study. The second one regards the design, optimization and testing of various typologies of rectennas for power generation by common RF sources. Finally, the project and implementation of two typologies of radio identification tags, at X-band and V-band respectively. In all the cases the importance of an exhaustive nonlinear/electromagnetic co-simulation and co-design is demonstrated to be essential for any accurate system performance prediction.

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In this work, we discuss some theoretical topics related to many-body physics in ultracold atomic and molecular gases. First, we present a comparison between experimental data and theoretical predictions in the context of quantum emulator of quantum field theories, finding good results which supports the efficiency of such simulators. In the second and third parts, we investigate several many-body properties of atomic and molecular gases confined in one dimension.

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This thesis deals with distributed control strategies for cooperative control of multi-robot systems. Specifically, distributed coordination strategies are presented for groups of mobile robots. The formation control problem is initially solved exploiting artificial potential fields. The purpose of the presented formation control algorithm is to drive a group of mobile robots to create a completely arbitrarily shaped formation. Robots are initially controlled to create a regular polygon formation. A bijective coordinate transformation is then exploited to extend the scope of this strategy, to obtain arbitrarily shaped formations. For this purpose, artificial potential fields are specifically designed, and robots are driven to follow their negative gradient. Artificial potential fields are then subsequently exploited to solve the coordinated path tracking problem, thus making the robots autonomously spread along predefined paths, and move along them in a coordinated way. Formation control problem is then solved exploiting a consensus based approach. Specifically, weighted graphs are used both to define the desired formation, and to implement collision avoidance. As expected for consensus based algorithms, this control strategy is experimentally shown to be robust to the presence of communication delays. The global connectivity maintenance issue is then considered. Specifically, an estimation procedure is introduced to allow each agent to compute its own estimate of the algebraic connectivity of the communication graph, in a distributed manner. This estimate is then exploited to develop a gradient based control strategy that ensures that the communication graph remains connected, as the system evolves. The proposed control strategy is developed initially for single-integrator kinematic agents, and is then extended to Lagrangian dynamical systems.

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Il vigore è un aspetto rilevante della qualità delle sementi, strettamente connesso al loro status fisiologico, al genotipo e alle condizioni di stoccaggio. Stress ossidativi e danni alle macromolecole sono alla base del deterioramento del seme, che è equipaggiato con sistemi protettivi e di riparazione. Uno di questi coinvolge l’L-isoaspartil metiltransferasi (PIMT) che ripara i misfolding proteici catalizzando la riconversione in aspartato dell’isoaspartile anomalo accumulato. Scopo di questo studio era valutare il possibile ruolo del meccanismo di riparazione di PIMT nel vigore del seme in girasole. Per questo il relativo gene è stato isolato e caratterizzato, la variabilità allelica determinata su un campione di linee inbred e l’espressione genica misurata in risposta all’invecchiamento accelerato (aging) e al priming. La sequenza codificante ottenuta è costituita da 4 esoni e contiene i 5 domini caratteristici delle metiltransferasi. Il gene mostra elevata similarità con gli ortologhi vegetali e scarsa diversità nucleotidica nei genotipi coltivati rappresentativi della variabilità della specie. Nella sequenza aminoacidica, comunque, sono state rinvenute tre sostituzioni che potrebbero influenzare la funzionalità enzimatica. Dal punto di vista fisiologico i genotipi considerati hanno esibito notevole variabilità di risposte ai trattamenti, sia in termini di vigore che di espressione genica. Aging e priming hanno prodotto generalmente gli effetti attesi, rispettivamente negativi e positivi, sulla germinabilità e sulla sua velocità. In generale l’espressione di PIMT è risultata massima nel seme secco, come riportato altrove, e ridotta dall’aging. Anche il priming ha diminuito l’espressione rispetto al seme quiescente, mentre il suo effetto dopo l’aging è risultato genotipo-dipendente. Tuttavia, nelle condizioni descritte, non si sono evidenziate correlazioni significative tra vigore ed espressione di PIMT, tali da suggerire un chiaro ruolo di questo meccanismo nella qualità fisiologica del seme.

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Biological data are inherently interconnected: protein sequences are connected to their annotations, the annotations are structured into ontologies, and so on. While protein-protein interactions are already represented by graphs, in this work I am presenting how a graph structure can be used to enrich the annotation of protein sequences thanks to algorithms that analyze the graph topology. We also describe a novel solution to restrict the data generation needed for building such a graph, thanks to constraints on the data and dynamic programming. The proposed algorithm ideally improves the generation time by a factor of 5. The graph representation is then exploited to build a comprehensive database, thanks to the rising technology of graph databases. While graph databases are widely used for other kind of data, from Twitter tweets to recommendation systems, their application to bioinformatics is new. A graph database is proposed, with a structure that can be easily expanded and queried.