Dissertationen: „Network analyze“

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Nath, Madhurima. „Application of Network Reliability to Analyze Diffusive Processes on Graph Dynamical Systems“. Diss., Virginia Tech, 2019. http://hdl.handle.net/10919/86841.

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Moore and Shannon's reliability polynomial can be used as a global statistic to explore the behavior of diffusive processes on a graph dynamical system representing a finite sized interacting system. It depends on both the network topology and the dynamics of the process and gives the probability that the system has a particular desired property. Due to the complexity involved in evaluating the exact network reliability, the problem has been classified as a NP-hard problem. The estimation of the reliability polynomials for large graphs is feasible using Monte Carlo simulations. However, the number of samples required for an accurate estimate increases with system size. Instead, an adaptive method using Bernstein polynomials as kernel density estimators proves useful. Network reliability has a wide range of applications ranging from epidemiology to statistical physics, depending on the description of the functionality. For example, it serves as a measure to study the sensitivity of the outbreak of an infectious disease on a network to the structure of the network. It can also be used to identify important dynamics-induced contagion clusters in international food trade networks. Further, it is analogous to the partition function of the Ising model which provides insights to the interpolation between the low and high temperature limits.
Ph. D.
The research presented here explores the effects of the structural properties of an interacting system on the outcomes of a diffusive process using Moore-Shannon network reliability. The network reliability is a finite degree polynomial which provides the probability of observing a certain configuration for a diffusive process on networks. Examples of such processes analyzed here are outbreak of an epidemic in a population, spread of an invasive species through international trade of commodities and spread of a perturbation in a physical system with discrete magnetic spins. Network reliability is a novel tool which can be used to compare the efficiency of network models with the observed data, to find important components of the system as well as to estimate the functions of thermodynamic state variables.

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Isik, Zerrin. „Network Structure Based Pathway Enrichment System To Analyze Pathway Activities“. Phd thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12612951/index.pdf.

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Current approaches integrating large scale data and information from a variety of sources to reveal molecular basis of cellular events do not adequately benefit from pathway information. Here, we portray a network structure based pathway enrichment system that fuses and exploits model and data: signalling pathways are taken as the biological models while microarray and ChIP-seq data are the sample input data sources among many other alternatives. Our model- and data-driven hybrid system allows to quantitatively assessing the biological activity of a cyclic pathway and simultaneous enrichment of the significant paths leading to the ultimate cellular response. Signal Transduction Score Flow (SiTSFlow) algorithm is the fundamental constituent of proposed network structure based pathway enrichment system. SiTSFlow algorithm converts each pathway into a cascaded graph and then gene scores are mapped onto the protein nodes. Gene scores are transferred to en route of the pathway to form a final activity score describing behaviour of a specific process in the pathway while enriching of the gene node scores. Because of cyclic pathways, the algorithm runs in an iterative manner and it terminates when the node scores converge. The converged final activity score provides a quantitative measure to assess the biological significance of a process under the given experimental conditions. The conversion of cyclic pathways into cascaded graphs is performed by using a linear time multiple source Breadth First Search Algorithm. Furthermore, proposed network structure based pathway enrichment system works in linear time in terms of nodes and edges of given pathways. In order to explore various biological responses of several processes in a global signalling network, the selected small pathways have been unified based on their common gene and process nodes. The merge algorithm for pathways also runs in linear time in terms of nodes and edges of given pathways. In the experiments, SiTSFlow algorithm proved the convergence behaviour of activity scores for several cyclic pathways and for a global signalling network. The biological results obtained by assessing of experimental data by described network structure based pathway enrichment system were in correlation with the expected cellular behaviour under the given experimental conditions.

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Oliveira, Homero Fernandes. „Design and implementation of a toolbox of modularized C programs to construct, analyze and test network optimization algorithms“. Thesis, Monterey, California. Naval Postgraduate School, 1991. http://hdl.handle.net/10945/26452.

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4

THOMAS, VINEET SUNNY. „A Multiscale Framework to Analyze Tricuspid Valve Biomechanics“. University of Akron / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=akron1542255754172363.

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5

Tobolka, Lukáš. „Problematika návrhu síťové infrastruktury“. Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442356.

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The aim of this diploma thesis is to look at the design of network infrastructure in practice. There are individual procedures, brands, standards that must be followed when designing. It includes a brief general overview of terminal elements, cable systems and related matters. In general, methods for measuring optical lines and parameters for measuring metallic networks are described here. The possible complications that accompany it are briefly described in the implementation. The network design methodology is also described here on the example of a specific object. Before the actual handover of the work, the entire infrastructure is analyzed and measured with output protocols within the certification of the entire system together with outputs in the form of a measurement protocol.

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Nassani, Sararose. „An Application of Statistics and Random Graphs to Analyze Local Heroin Markets“. Case Western Reserve University School of Graduate Studies / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case155440032815001.

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7

Vu, Xuan Thang. „Joint Network / Channel Decoding over Noisy Wireless Networks“. Phd thesis, Université Paris Sud - Paris XI, 2014. http://tel.archives-ouvertes.fr/tel-01060330.

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Network coding (NC) has gained much research attention as a potential candidate to solve the demand for higher spectral e ciency of modern wireless communications. Many research papers have investigated the performance of NC-aided networks such as throughput and outage capacity. However, the analysis of NC in practical systems where NC is combined with other techniques such as channel coding is still immature to fully understand its potential performance. In this thesis, we aim to design high performance receivers and analyze its performance for network-coded cooperative networks in practical scenarios. Firstly, we propose two Iterative Network/Channel Decoding (INCD) algorithms for the Multiple-Access Relay Channel (MARC) with two notable relaying schemes named Decode-and-Forward (DF) and Demodulate-and-Forward (DMF). The INCD algorithm operates based on turbo-like decoding methods and reduces the impact of the error propagation problem with the aid of a channel-aware receiver design. Both perfect Channel State Information (CSI) and imperfect CSI at the receiver side are investigated. We propose a practical method that forwards the quantized version of the relay decoding errors to the destination. It is shown that the proposed algorithms achieve full diversity gain and signi cantle outperforms solutions which do not take care of error propagation. We also show that the number of pilot symbols a ects only the coding gain but has a negligible impact on the diversity order, while the quantization level a cts both the diversity and coding gain. Secondly, we propose a Near Optimal Joint Network/Channel Decoding (NOJNCD) algorithm for the MARC that allows to analyze the system Bit Error Rate (BER). The NOJNCD algorithm performs network decoding and channel decoding in one decoding step of the super code, which comprises of all trellis states of individual code at the sources via NC. Furthermore, NC combined with Relay Selection (RS) is considered and the achievable diversity order is studied with the aid of outage analysis. We analytically show that Single Relay Selection (SRS) always achieves a diversity order two and Multiple Relay Selection (MRS) can achieve full diversity gain only when the number of selected relays exceeds the number of the sources. Last but not least, we propose a so-called partial relaying protocol to improve the spectral e ciency for channel coding assisted relay networks. Closed-form expression of the BER and the system diversity order are computed for partial relaying. We show, by analysis and simulations, that with a proper Convolutional Code (CC), partial relaying can achieve full diversity gain and same coding gain as the classical (full) relaying protocol in nite signal-to-noise ratio region while it obtains a better spectrum usage. Moreover, we propose a new protocol based on partial relaying in opportunistic relaying cooperative networks and show that this protocol signi cantly outperforms the NC-based cooperation in some circumstances.

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Caruba, Thibaut. „Analyses médico-économiques de la prise en charge de la maladie coronarienne stable : méta-analyse en réseau et modélisation“. Phd thesis, Université René Descartes - Paris V, 2013. http://tel.archives-ouvertes.fr/tel-00921072.

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La maladie coronaire stable est une maladie chronique pour laquelle de nombreuses stratégies thérapeutiques sont disponibles, dont le traitement par médicaments seuls et les traitements invasifs par angioplastie avec stent ou par pontage aortocoronaire. Face aux résultats de plusieurs méta-analyses mettant en évidence un taux de mortalité comparable entre ces traitements, nous avons décidé d'effectuer un travail de recherche comparant leurs coûts. Dans la première partie de mon travail, nous avons comparé, après une période de un an et une autre de 3 ans de suivi des patients, les données cliniques et économiques publiées pour 5 traitements de l'angor stable : les médicaments seuls, le pontage aortocoronaire, l'angioplastie sans stent, l'angioplastie avec stent nu et l'angioplastie avec stent actif. La mortalité et le taux d'IDM étaient nos critères de jugement clinique. Les coûts directs, liés au traitement effectué et liés à la prise en charge des éventuelles complications, ont été uniformisés via la parité de pouvoir d'achat et exprimés en US $ 2008. Il s'agissait de notre critère de jugement économique. Un total de 19 études cliniques a été retenu dans notre méta-analyse en réseau. Nos résultats mettent en évidence une absence de différence significative sur le critère clinique. En revanche, nous avons observé une différence concernant le coût moyen de chaque traitement après un an et 3 ans de suivi. Le traitement le moins onéreux était le traitement par médicaments seuls, après un an et 3 ans de suivi, avec respectivement un coût moyen par patient de 3 069 US $ et 13 854 US $. Le coût moyen le plus élevé a toujours été obtenu avec le traitement par pontage aortocoronaire : 27 003 US $ après un an et 28 670 US $ après 3 ans de suivi. Cependant, nos conclusions sont limitées d'une part, par la variabilité des méthodes économiques utilisées dans les études sélectionnées dans notre méta-analyse et, d'autre part, par l'évolution des traitements dans le temps. Dans la seconde partie de mon travail de recherche, nous avons calculé le coût de prise en charge d'un patient angoreux stable traité par l'une des 4 stratégies thérapeutiques suivantes : médicaments seuls, pontage aortocoronaire, angioplastie avec stent nu et angioplastie avec stent actif. Pour se faire, nous avons défini d'une part 6 situations cliniques correspondant aux possibles états cliniques du patient un an après l'instauration du traitement étudié et, d'autre part, déterminé les quantités de soins consommés pour chacune de ces situations cliniques. La perspective retenue était celle de l'Assurance Maladie. Les coûts calculés étaient liés aux hospitalisations, aux soins ambulatoires et aux moyens de transport utilisés pour accéder à l'hôpital. La stratégie médicamenteuse était la moins onéreuse avec un coût moyen annuel de 1 518 € ; ce coût prenant en compte les probabilités de survenue des 6 états cliniques. Le traitement par pontage aortocoronaire était le plus onéreux des 4 traitements étudiés, avec un coût moyen annuel de 15 237 €. La perspective de mes travaux est de modéliser la prise en charge d'un patient angoreux stable en envisageant un second traitement si le premier traitement effectué conduit à une situation d'échec thérapeutique. Les arbres que nous avons construits nous permettront ensuite d'effectuer une analyse coût-efficacité de deux stratégies thérapeutiques avec une durée totale de suivi des patients de 2 ans. Enfin, si nos travaux mettent en avant l'intérêt économique du traitement par médicaments, nous soulignons que ces résultats sont obtenus après avoir suivi les patients sur une courte durée (études à un an et à 3 ans), alors que l'angor stable est une maladie chronique où les stratégies thérapeutiques peuvent se succéder en cas d'échec à l'un des traitements...

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Rodriguez, Ramón. „Network Analyzer Functionality Simulator“. Thesis, University of Gävle, Department of Technology and Built Environment, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-704.

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The objective of this thesis work was to implement all the hardware and software necessary to simulate the functionality of a Vector Network Analyzer (VNA). With equipment that is already available, and is common in a measurement station, the most common functions of a VNA were implemented, using an Vector Signal Generator, that provide the signal for testing, and a Vector Signal Analyzer, to make all the amplitude and phase measurements. With these instruments and the appropriate software that control them, the basic functionality of a Vector Network Analyzer can be achieved with a reasonable accuracy. With this system, we can reduce costs, avoiding the need of a real VNA and take advantage off instruments that are already available in a laboratory. A Complete measurement system of all four scattering parameters is proposed at the end of the report for future implementation. With this implementation all the different S-parameter measurements were made with an acceptable accuracy that can be comparable to a commercial VNA.

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Zreik, Rawya. „Analyse statistique des réseaux et applications aux sciences humaines“. Thesis, Paris 1, 2016. http://www.theses.fr/2016PA01E061/document.

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Depuis les travaux précurseurs de Moreno (1934), l’analyse des réseaux est devenue une discipline forte, qui ne se limite plus à la sociologie et qui est à présent appliquée à des domaines très variés tels que la biologie, la géographie ou l’histoire. L’intérêt croissant pour l’analyse des réseaux s’explique d’une part par la forte présence de ce type de données dans le monde numérique d’aujourd’hui et, d’autre part, par les progrès récents dans la modélisation et le traitement de ces données. En effet, informaticiens et statisticiens ont porté leurs efforts depuis plus d’une dizaine d’années sur ces données de type réseau en proposant des nombreuses techniques permettant leur analyse. Parmi ces techniques on note les méthodes de clustering qui permettent en particulier de découvrir une structure en groupes cachés dans le réseau. De nombreux facteurs peuvent exercer une influence sur la structure d’un réseau ou rendre les analyses plus faciles à comprendre. Parmi ceux-ci, on trouve deux facteurs importants: le facteur du temps, et le contexte du réseau. Le premier implique l’évolution des connexions entre les nœuds au cours du temps. Le contexte du réseau peut alors être caractérisé par différents types d’informations, par exemple des messages texte (courrier électronique, tweets, Facebook, messages, etc.) échangés entre des nœuds, des informations catégoriques sur les nœuds (âge, sexe, passe-temps, Les fréquences d’interaction (par exemple, le nombre de courriels envoyés ou les commentaires affichés), et ainsi de suite. La prise en considération de ces facteurs nous permet de capturer de plus en plus d’informations complexes et cachées à partir des données. L’objectif de ma thèse été de définir des nouveaux modèles de graphes aléatoires qui prennent en compte les deux facteurs mentionnés ci-dessus, afin de développer l’analyse de la structure du réseau et permettre l’extraction de l’information cachée à partir des données. Ces modèles visent à regrouper les sommets d’un réseau en fonction de leurs profils de connexion et structures de réseau, qui sont statiques ou évoluant dynamiquement au cours du temps. Le point de départ de ces travaux est le modèle de bloc stochastique (SBM). Il s’agit d’un modèle de mélange pour les graphiques qui ont été initialement développés en sciences sociales. Il suppose que les sommets d’un réseau sont répartis sur différentes classes, de sorte que la probabilité d’une arête entre deux sommets ne dépend que des classes auxquelles ils appartiennent
Over the last two decades, network structure analysis has experienced rapid growth with its construction and its intervention in many fields, such as: communication networks, financial transaction networks, gene regulatory networks, disease transmission networks, mobile telephone networks. Social networks are now commonly used to represent the interactions between groups of people; for instance, ourselves, our professional colleagues, our friends and family, are often part of online networks, such as Facebook, Twitter, email. In a network, many factors can exert influence or make analyses easier to understand. Among these, we find two important ones: the time factor, and the network context. The former involves the evolution of connections between nodes over time. The network context can then be characterized by different types of information such as text messages (email, tweets, Facebook, posts, etc.) exchanged between nodes, categorical information on the nodes (age, gender, hobbies, status, etc.), interaction frequencies (e.g., number of emails sent or comments posted), and so on. Taking into consideration these factors can lead to the capture of increasingly complex and hidden information from the data. The aim of this thesis is to define new models for graphs which take into consideration the two factors mentioned above, in order to develop the analysis of network structure and allow extraction of the hidden information from the data. These models aim at clustering the vertices of a network depending on their connection profiles and network structures, which are either static or dynamically evolving. The starting point of this work is the stochastic block model, or SBM. This is a mixture model for graphs which was originally developed in social sciences. It assumes that the vertices of a network are spread over different classes, so that the probability of an edge between two vertices only depends on the classes they belong to

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Gabdurahmanov, Murat, und Simon Trygg. „Analysis and Evaluation of Network Management Solutions : A Comparison of Network Management Solutions Suitable for Networks with 2,500+ Devices“. Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-188793.

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Some companies today are using sub-optimal and nearly obsolete management systems for their networks. Given the large number of different services that are demanded by users, there is a need to adapt the network structure to support the current and potential future demands. As a result, there is a need for new Network Management Solutions (NMSs). The aim of this thesis project is to help a company who uses a NMS called Local Area Network (LAN) Management Solution (LMS). LMS was designed by Cisco for managing LAN networks. However, the company’s demands are growing and they need to expand their network more than expected. Moreover, LMS is designed to only support devices by Cisco, whereas the company wants a universal solution with wide device support from many manufacturers. This thesis presents an analysis of their current system and suggests potential solutions for an upgrade that will meet all of the company’s demands and will have a long operating life. To help find reasonable solutions a thorough evaluation of their existing NMS and network monitoring and management needs was made. This evaluation gave good insights into different aspects of their system. A reasonable solution was found by following a three-step approach, beginning with 82 possible solutions, filtering out and breaking down with each step, until only the most suitable NMS was left. Two NMSs has been proposed as equally suitable replacements: IBM Tivoli Netcool/OMNIbus and ManageEngine OpManager. Regardless of which one is chosen, they both have the following advantages over the company’s existing NMS: they are very stable solutions which can handle a large number of managed devices; they are universal solutions with wide device support, and the company can add custom support if needed; they are user-friendly with the ability to add custom interfaces; and they both have a professional first-line technical support department locally located.
Vissa företag använder idag suboptimala och föråldrade övervakningsssystem för sina nätverk. Med tanke på det stora antalet olika tjänster som efterfrågas av användare finns det ett stort behov av att anpassa nätverksstrukturen för att stödja de nuvarande och potentiellt framtida kraven. Som ett resultat finns det ett behov av nya övervakningssystem (Network Management Solutions (NMSs)) för nätverken. Syftet med detta examensarbete är att hjälpa ett företag som använder NMS:en Local Area Network (LAN) Management Solution (LMS). LMS utecklades av Cisco för att hantera lokala nätverk (LANs). Men med tiden har företagets krav förändrats och de har därför behövt expandera sitt nätverk mer än väntat. Dessutom är LMS endast utformad för att hantera enheter tillverkade av Cisco, medan företaget vill ha en universal lösning med stöd för enheter från många olika tillverkare. Denna rapport presenterar en analys av deras nuvarande system, samt föreslår möjliga lösningar som kan ersätta detta. Den nya lösningen ska vara långvarig samt ska uppfylla alla krav företaget ställt. För att hitta lämpliga lösningar har en grundlig utvärdering av den befintliga NMS:en samt en analys av de ställda kraven utförts. Denna analys gav goda insikter i olika aspekter av deras nuvarande system. En lämplig lösning hittades genom att följa en trestegsmetod. Metoden utgick från 82 möjliga lösningar, som efter flera steg av filtrering resulterade i de mest lämpade ersättningssystemen. Två NMS:er har föreslagits som lika lämpliga ersättare: IBM Tivoli Netcool/OMNIbus och ManageEngine OpManager. Oavsett vilken som väljs, har de båda följande fördelar jämfört med den nuvarande NMS:en: de är båda väldigt stabila lösningar som klarar av en stor mängd hanterade enheter; de är universella lösningar med stöd för en stor mängd olika enheter, dessutom går det även att lägga till eget stöd för enheter vid behov; de är användarvänliga och har möjlighet till att anpassa egna gränssnitt; samt att de båda har en professionell first-line teknisk support placerad lokalt i landet.<p>

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Walton, Robert. „A microwave Nonlinear Network Analyser“. Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0016/MQ55268.pdf.

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Lee, Whan Su. „The de-embedment of network-analyzer measurements“. Thesis, Monterey, California. Naval Postgraduate School, 1988. http://hdl.handle.net/10945/23154.

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In the measurement of microwave circuits and devices, the data reduction of two-port measurement data obtained at the external terminals of microstrip-coupled devices, with correction for measurement error, can be obtained by de-embedment procedures with use of the HP 8409B vector network analyzer and a FORTRAN program. Keywords: Fixtures; Resistors; Bandpass filters; Scattering coefficients; These

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Slováček, Miroslav. „Monitor bezdrátové sítě“. Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2009. http://www.nusl.cz/ntk/nusl-217844.

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This master´s thesis deal with designing of the system for ZigBee wireless network monitoring. In the first, treoretical part, is reader introduced to this wireless standard. Acquired informations are possible to compare with the simillar wireless standards. Next part of this document describes procedure of designing harward part of modular system - motherboard and scanning module. In this place is so discussion about component parameters, which are very needed to keep. One part of this discussion is about the problems with wrong component parameters. The last part of this master´s thesis is about software part of this project and so shows designed system in work.

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Chaurasia, Gautam. „Analysis, integration and applications of the human interactome“. Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät I, 2012. http://dx.doi.org/10.18452/16635.

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Protein-Protein Interaktions (PPI) Netzwerke liefern ein Grundgerüst für systematische Untersuchungen der komplexen molekularen Maschinerie in der Zelle. Die Komplexität von Protein-Wechselwirkungen stellt jedoch in Bezug auf ihre Identifizierung, Validierung und Annotation eine große experimentelle und rechnerische Herausforderung dar. In dieser Arbeit analysierte ich diese Probleme und lieferte Lösungen, um die Limitierungen aktueller humanen PPI Netzwerke zu überwinden. Meine Arbeit kann in zwei Teile aufgeteilt werden: Im ersten Teil führte ich eine kritischen Vergleich von acht unabhängig konstruierten humanen PPI Netzwerke durch, um mögliche experimentellen Verzerrungen zu erkennen. Die Ergebnisse zeigten starke Tendenzen bezüglich der Selektion und Detektion von Interaktionen, die in zukünftigen Anwendungen dieser Netzwerke berücksichtigt werden sollten. Einer der wichtigsten Schlussfolgerungen dieser Studie war, dass die derzeitigen humanen Interaktions Netzwerke komplementär sind und deshalb wurde eine Datenbank mit der Bezeichnung Unified Human Interaktome (UniHI) entwickelt, die menschliche PPI Daten aus zwölf wichtigsten Quellen integriert. Im zweiten Teil dieser Forschungsarbeit benutzte ich die Daten aus der UniHI Datenbank, die genetischen Modifikatoren in einer bestimmten Krankheit, Chorea Huntington (HD) eine autosomal dominante neurodegenerative Erkrankung, zu charakterisieren. Um die Proteine zu identifizieren, die den Krankheitsverlauf modifizieren können, wurden Protein Interaktion Daten mit Genexpressionsdaten von HD-Patienten in Kombination mit einem Mehrschritt-Filterungsverfahren integriert. Mit dem neuartigen Ansatz wurde ein Nucleus caudatus-spezifische Protein-Interaktion HD (PPI)-Netzwerk vorhergesagt, das 14 potentiell dysregulierten Proteine direkt oder indirekt mit dem Huntingtin-Protein verlinkt, mit mögliche Verbindung zu Molekularen Prozessen wie z.B. Apoptose, Metabolismus, neuronale Entwicklung.
Protein interaction networks aim to provide the scaffold maps for systematic studies of the complex molecular machinery in the cell. The complexity of protein interactions poses, however, large experimental and computational challenges regarding their identification, validation and annotation. Additionally, storage and linking is demanding since new data are rapidly accumulating. In this research work, I addressed these issues and provided solutions to overcome the limitations of current human protein-protein interaction (PPI) maps. In particular, my thesis can be partitioned into two parts: In the first part, I conducted a comparative assessment of eight recently constructed human protein-protein interaction networks to identify experimental biases. Results showed strong selection and detection biases which are necessary to take into consideration in future applications of these maps. One of the important conclusions of this study was that the current human interaction networks contain complementary information; hence, a database was developed, termed as Unified Human Interactome (UniHI), integrating human PPI data from twelve major sources. Several new tools were included for querying, analyzing and visualizing human PPI networks. In the second part of this research work, UniHI dataset was applied to characterize the genetic modifiers involved in a specific disease: Chorea Huntington (HD), an autosomal dominant neurodegenerative disease. To find the modifiers, a network-based modeling approach was implemented by integrating huntingtin-specific protein interaction network with gene expression data from HD patients in multiple steps. Using this approach, a Caudate Nucleus-specific HD protein interaction (PPI) network was predicted, connecting 14 potentially dysregulated proteins directly or indirectly to the disease protein, showing a possible link to molecular processes such as pro-apoptotic pathways, cell survival, anti-apoptotic, growth, and neuronal diseases.

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Machado, Tatiane Martins. „Analisador de redes WirelessHART com capacidade de detecção de coexistência“. reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2014. http://hdl.handle.net/10183/97234.

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O uso de redes sem fio no ambiente industrial está crescendo cada vez mais devido às vantagens que estas redes apresentam comparadas aos sistemas cabeados. No entanto, é necessário que as redes sem fio apresentem a mesma robustez que as redes cabeadas. Para isso, é necessário garantir o enlace de rádio frequência entre os dispositivos e também é preciso que a rede atenda aos requisitos de comunicação em tempo real. O protocolo WirelessHART foi criado em 2007, sendo o primeiro padrão aberto de comunicação sem fio especialmente desenvolvido para ambientes industriais. Esse protocolo vem ganhando cada vez mais aplicabilidade na indústria devido à sua alta confiabilidade e robustez. Por se tratar de um protocolo recente, ainda existem muitas pesquisas em andamento, sendo uma das áreas relacionada a ferramentas para análise e monitoramento da rede. Tais ferramentas têm como objetivo principal capturar as mensagens que trafegam na rede, ou seja, atuam como um sniffer. No entanto, o protocolo WirelessHART apresenta algumas peculiaridades quando comparado a outras redes sem fio, como por exemplo, o uso de 15 canais diferentes. Devido a isso, muitos sniffers já propostos para redes sem fio não podem ser utilizados, pois capturam dados em apenas uma frequência. Outra questão está relacionada ao monitoramento de redes já instaladas, onde os dispositivos podem se encontrar em locais de difícil acesso. Dessa forma, é necessário que a ferramenta tenha mobilidade, ou seja, não necessite estar conectada a um computador, por exemplo. Então, uma vez que ainda não existe uma ferramenta de monitoramento ideal para redes WirelessHART, este trabalho propõe um nova ferramenta, que apresenta vantagens, tais como: captura de dados nos 15 canais utilizando apenas um receptor de rádio, armazenamento local dos dados capturados utilizando um cartão de memória e medição da energia nos canais, para obter informações a respeito de interferências na rede. Além disso, uma aplicação offline de análise dos dados apresenta estatísticas e análises a respeito dos dados capturados. Este trabalho apresenta alguns conceitos teóricos importantes a respeito do protocolo e os detalhes da implementação da ferramenta. Os resultados obtidos mostram que a ferramenta está atuando corretamente como um sniffer e está realizando a detecção de interferências na rede. Um estudo de caso mostra o comportamento da rede WirelessHART coexistindo com o padrão IEEE 802.11.
The use of wireless networks in industrial environment is growing due to the advantages of these networks compared to wired systems. However, the wireless networks must have the same robustness that wired networks. It is necessary to ensure the link between devices and it is also necessary that the network meets the requirements of real-time communication. The WirelessHART protocol was created in 2007, and it is the first open wireless communication standard specifically designed for industrial environments. This protocol has been gaining increasing applicability in industry due to its high reliability and robustness. Because it is a recent protocol, there are still many ongoing researches. One of them is related to tools for analyzing and monitoring the network. Such tools have the main objective to capture the messages that travel on the network, acting as a sniffer. However, the WirelessHART protocol has some peculiarities as compared to other wireless networks, such as the use of 15 different channels. Because of this, many sniffers already proposed for wireless networks can not be applied, because they capture data on only one frequency. Another issue is related to the monitoring networks already installed, where devices can be found in places of difficult access. Thus, it is necessary that the tool has mobility, i.e., does not need to be connected to a computer, for example. So, since there is still no ideal monitoring tool for WirelessHART networks, this paper proposes a new tool, which has advantages such as: data capture in 15 channels using only one radio receiver, local storage of captured data using a memory card and measuring the energy in the channels for getting information about interference in the network. In addition, an offline application presents statistics and analysis about the captured data. This paper presents some important theoretical concepts about the protocol and implementation details of the tool. The results show that the tool is working properly as a sniffer and it’s performing the interference detection in the network . A case study shows the behavior of the WirelessHART network coexisting with IEEE 802.11 standard.

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Bertolotti, Antoine. „Traitements locaux des condylomes ano-génitaux externes (revue systématique, méta-analyses, analyse poolée et méta-analyse en réseau²)“. Thesis, Antilles, 2019. http://www.theses.fr/2019ANTI0412.

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Contexte: Il existe plusieurs traitements pour les condylomes ano-génitaux externes (CAE) cependant, aucune hiérarchie de traitement claire, n'est mentionnée dans les dernières recommandations. Objectifs: Comparer l'efficacité des traitements topiques et des traitements ablatifs pour la prise en charge des CAE. Méthodes: Tous les essais cliniques comparatifs et randomisés (ECR) de 12 bibliothèques numériques comparant des adultes immunocompétents avec des CAE ayant reçu au moins un traitement administré par le médecin ou auto appliqué par le patient ont été inclus. L’évaluation du risque de biais a suivi les recommandations Cochrane. Le critère d'évaluation de l'étude était la réponse lésionnelle complète (RLC) après évaluation du traitement. Des méta-analyses, des analyses poolées puis une méta-analyse réseau ont été réalisées. Résultats: Soixante-dix ECR (9 931 patients) ont été inclus. Tous les ECR, sauf quatre présentaient un risque élevé de biais. Méta-analyse en réseau: les traitements les plus efficaces comparativement au placebo étaient la chirurgie (RR 10,54 ; IC95% 4,53-24,52), une combinaison de traitement ablatif et d’imiquimod (RR 7,52 ; IC95% 4,53-24,52) et l'électrochirurgie (RR 7,10 ; IC95% 3,47-14,53). Les valeurs de SUCRA confirmaient la supériorité de la chirurgie (90,9%), d’une combinaison d’un traitement ablatif avec de l’imiquimod (79,8%) et de l'électrochirurgie (77,1%). Les TAP les plus efficaces étaient la podophyllotoxine 0,5 % solution (63,5%) et la podophyllotoxine à 0,5 % crème (62,2%). Conclusions: La majorité des ECR inclus sont à faible niveau de preuve. La chirurgie et l'électrochirurgie semblent être supérieures aux autres traitements
Background: While several treatments exist for anogenital warts (AGWs), no clear treatment hierarchy is mentioned in the latest guidelines. Objectives: To compare the efficacy of topical treatments and ablative procedures for the management of AGWs. Methods: Twelve electronic databases were systematically searched. All randomized controlled trials (RCTs) comparing immunocompetent adults with AGWs who received at least 1 provider-administered or patient-administered treatment in at least 1 parallel group were included. Risk of bias assessment followed the Cochrane Handbook. Study endpoints were clearance, recurrence, side effects (SE) and complete lesion response (CLR) after treatment assessment. Meta-analyses, pooled analysis then network meta-analysis were performed. Results: Seventy RCTs (9,931 patients) were included. All but 4 RCTs had a high risk of bias. In network meta-analysis (only CLR assessment): a network geometry was constructed based on 49 of the 70 RCTs. The most efficacious treatments compared to placebo were surgery (RR 10.54; CI95% 4.53-24.52), association of ablative therapy and imiquimod (RR 7.52; CI95% 4.53-24.52), and electrosurgery (RR 7.10; CI95% 3.47-14.53). SUCRA values confirmed the superiority of surgery (90.9%), association of ablative therapy and imiquimod (79.8%), and electrosurgery (77.1%). The most efficacious patient-administered treatments were podophyllotoxin 0.5% solution (63.5%) and podophyllotoxin 0.5% cream (62.2%). Conclusions: Most included RCTs have low-level evidence. Surgery and electrosurgery seem to be superior to other treatments. Combined therapy should be more evaluated in future RCT

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Dugué, Nicolas. „Analyse du capitalisme social sur Twitter“. Thesis, Orléans, 2015. http://www.theses.fr/2015ORLE2081/document.

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Le sociologue Bourdieu définit le capital social comme : "L’ensemble des ressources actuelles ou potentielles qui sont liées à la possession d’un réseau durable de relations". Sur Twitter, les abonnements, mentions et retweets créent un réseau de relations pour chaque utilisateur dont les ressources sont l’obtention d’informations pertinentes, la possibilité d’être lu, d’assouvir un besoin narcissique, de diffuser efficacement des messages.Certains utilisateurs Twitter -appelés capitalistes sociaux - cherchent à maximiser leur nombre d’abonnements pour maximiser leur capital social. Nous introduisons leurs techniques, basées sur l’échange d’abonnements et l’utilisation de hashtags dédiés. Afin de mieux les étudier, nous détaillons tout d’abord une méthode pour détecter à l’échelle du réseau ces utilisateurs en se basant sur leurs abonnements et abonnés. Puis, nous montrons avec un compte Twitter automatisé que ces techniques permettent de gagner efficacement des abonnés et de se faire beaucoup retweeter. Nous établissons ensuite que ces dernières permettent également aux capitalistes sociaux d’occuper des positions qui leur accordent une bonne visibilité dans le réseau. De plus, ces méthodes rendent ces utilisateurs influents aux yeux des principaux outils de mesure. Nous mettons en place une méthode de classification supervisée pour détecter avec précision ces utilisateurs et ainsi produire un nouveau score d’influence
Bourdieu, a sociologist, defines social capital as : "The set of current or potential ressources linked to the possession of a lasting relationships network". On Twitter,the friends, followers, users mentionned and retweeted are considered as the relationships network of each user, which ressources are the chance to get relevant information, to beread, to satisfy a narcissist need, to spread information or advertisements. We observethat some Twitter users that we call social capitalists aim to maximize their follower numbers to maximize their social capital. We introduce their methods, based on mutual subscriptions and dedicated hashtags. In order to study them, we first describe a large scaledetection method based on their set of followers and followees. Then, we show with an automated Twitter account that their methods allow to gain followers and to be retweeted efficiently. Afterwards, we bring to light that social capitalists methods allows these users to occupy specific positions in the network allowing them a high visibility.Furthermore, these methods make these users influent according to the major tools. Wethus set up a classification method to detect accurately these user and produce a newinfluence score

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Carlén, Eriksson Lennie, und Willners Jonatan Scharff. „Body Area Network with Gait Symmetry Analyses“. Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-28353.

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Smart portable devices is increasing in popularity in many ﬁelds. In motion tracking many devices have been created in the last years as a help in motivation and observation for training. Most of them is for tracking distance moved, heart-rate and some more basic functions. For deeper analyses in motion tracking a more advanced system is needed. The system needs to be small and light to not inﬂuence the movement of the subject in a negative way. It should preferably be cheap. Two other factors is that the system needs to be easy to use, both in the interface and deployment. Symmetry in motion is an key-element to eﬀective use of energy. Measuring the symmetry in gait should then help to improve motion. This could be used as a tool for more eﬃcient training or to faster recover from an injury. For a stroke-patient this could perhaps decrease the time of rehabilitation and remind the patient to move one leg. To create this, a reliable communication between a data sink and sensor nodes has been developed. The sensor nodes is gathering nine dimensions IMU data, accelerometer, gyroscopes and magnetometer, each in three dimensions. The data is saved to a database where it can be extracted for further analyses. Testing of the script language for Bluetooth devices, BGScript for time synchronisation has been done to see if it is able to use for frequencies high enough for a system to measure movement.

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Scharff, Willners Jonatan. „Body Area Network with Gait Symmetry Analyses“. Thesis, Mälardalens högskola, Inbyggda system, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-28306.

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Smart portable devices is increasing in popularity in many fields. In motion tracking many devices have been created in the last years as a help in motivation and observation for training. Most of them is for tracking distance moved, heart-rate and some more basic functions. For deeper analyses in motion tracking a more advanced system is needed. The system needs to be small and light to not influence the movement of the subject in a negative way. It should preferably be cheap. Two other factors is that the system needs to be easy to use, both in the interface and deployment. Symmetry in motion is an key-element to effective use of energy. Measuring the symmetry in gait should then help to improve motion. This could be used as a tool for more efficient training or to faster recover from an injury. For a stroke-patient this could perhaps decrease the time of rehabilitation and remind the patient to move one leg. To create this, a reliable communication between a data sink and sensor nodes has been developed. The sensor nodes is gathering nine dimensions IMU data, accelerometer, gyroscopes and magnetometer, each in three dimensions. The data is saved to a database where it can be extracted for further analyses. Testing of the script language for Bluetooth devices, BGScript for time synchronisation has been done to see if it is able to use for frequencies high enough for a system to measure movement.

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Cicek, A. Ercument. „METABOLIC NETWORK-BASED ANALYSES OF OMICS DATA“. Case Western Reserve University School of Graduate Studies / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=case1372866879.

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Kröller, Alexander. „Algorithms for topology aware sensor networks“. Göttingen Cuvillier, 2007. http://d-nb.info/987558293/04.

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23

Lannes, Romain. „Recherche de séquences environnementales inconnues d’intérêt médical/biologique par l’utilisation de grands réseaux de similarité de séquences“. Electronic Thesis or Diss., Sorbonne université, 2019. http://www.theses.fr/2019SORUS232.

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L’objectif de cette thèse a été d’identifier des micro-organismes encore inconnus présents dans divers environnements et de caractériser certains de leurs métabolismes. Cette diversité non identifiée, à la fois taxonomique et fonctionnelle, est communément appelée matière noire microbienne. J’ai utilisé et développé de nouvelles méthodes de réseaux, et notamment des réseaux de similarité de séquences, afin d’exploiter de très grands jeux de données de séquences, issus de projets de métagénomique. En particulier, mon travail a mis en évidence le rôle écologique de micro-organismes ultra-petits dans certaines voies métaboliques autotrophes des océans. Il montre également que les CPR et DPANN, bactéries et archées ultra-petites récemment découvertes, participent à la dynamique des communautés microbiennes via des systèmes de quorum sensing homologues à ceux d’organismes mieux caractérisés. Une application des réseaux de similarité de séquences à des données de métabarcoding a également révélé une diversité jusque là inconnue d’Holozoa, qui pourrait nous permettre de mieux comprendre la transition vers la multicellularité des Metazoa. Enfin, j’ai développé une méthode et un logiciel destiné à la recherche d’homologues distants de protéines d’intérêt dans de très grands jeux de données, tels que ceux issus de la métagénomique. Cette méthode, maintenant validée, devrait permettre de rechercher des séquences appartenant à des organismes encore inconnus et très divergents, dans l’espoir de découvrir de nouveaux phylums profonds, voire même de nouveaux domaines du vivant
The objective of this thesis was to identify as yet unknown microorganisms present in various environments and to characterize some of their metabolisms. This unidentified diversity, both taxonomic and functional, is commonly referred to as microbial dark matter. I have used and developed new network methods, including sequence similarity networks, to exploit very large sequence datasets from metagenomic projects. In particular, my work has highlighted the ecological role of ultra-small micro-organisms in some autotrophic metabolic pathways in the oceans. It also shows that CPR and DPANN, recently discovered ultra-small bacteria and archaea, participate in the dynamics of microbial communities through quorum sensing systems similar to those of better characterized organisms. An application of sequence similarity networks to meta-barcoding data also revealed a previously unknown diversity of Holozoans, which could allow us to better understand the transition to multicellularity of Metazoans. Finally, I have developed a method and software for searching for remote homologs of proteins of interest in very large datasets, such as those from metagenomics. This method, now validated, should make it possible to search for sequences belonging to still unknown and very divergent organisms, in the hope of discovering new deep branching phyla, or even new domains of life

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Ennaji, Moulay Abderrahim. „Analyse et conception d'un réseau de neurones formels pour le filtrage d'un signal dynamique /“. Thèse, Chicoutimi : Université du Québec à Chicoutimi, 1992. http://theses.uqac.ca.

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Yasin, Amanullah. „Incremental Bayesian network structure learning from data streams“. Nantes, 2013. https://archive.bu.univ-nantes.fr/pollux/show/show?id=b81198e1-9d39-4282-9de6-f29ab95c0664.

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Dans la dernière décennie, l’extraction du flux de données est devenue un domaine de recherche très actif. Les principaux défis pour les algorithmes d’analyse de flux sont de gérer leur infinité, de s’adapter au caractère non stationnaire des distributions de probabilités sous-jacentes, et de fonctionner sans relecture. Par conséquent, les techniques traditionnelles de fouille ne peuvent s’appliquer directement aux flux de données. Le problème s’intensifie pour les flux dont les domaines sont de grande dimension tels que ceux provenant des réseaux sociaux, avec plusieurs centaines voire milliers de variables. Pour rester a jour, les algorithmes d’apprentissage de réseaux Bayésiens doivent pouvoir intégrer des données nouvelles en ligne. L’état de l’art en la matiere implique seulement plusieurs dizaines de variables et ces algorithmes ne fonctionnent pas correctement pour des dimensions supérieures. Ce travail est une contribution au problème d’apprentissage de structure de réseau Bayésien en ligne pour des domaines de haute dimension, et a donné lieu à plusieurs propositions. D’abord, nous avons proposé une approche incrémentale de recherche locale, appelée iMMPC. Ensuite, nous avons proposé une version incrémentale de l’algorithme MMHC pour apprendre la structure du réseau. Nous avons également adapté cet algorithme avec des mécanismes de fenêtre glissante et une pondération privilégiant les données nouvelles. Enfin, nous avons démontré la faisabilité de notre approche par de nombreuses expériences sur des jeux de données synthétiques
In the last decade, data stream mining has become an active area of research, due to the importance of its applications and an increase in the generation of streaming data. The major challenges for data stream analysis are unboundedness, adaptiveness in nature and limitations over data access. Therefore, traditional data mining techniques cannot directly apply to the data stream. The problem aggravates for incoming data with high dimensional domains such as social networks, bioinformatics, telecommunication etc, having several hundreds and thousands of variables. It poses a serious challenge for existing Bayesian network structure learning algorithms. To keep abreast with the latest trends, learning algorithms need to incorporate novel data continuously. The existing state of the art in incremental structure learning involves only several tens of variables and they do not scale well beyond a few tens to hundreds of variables. This work investigates a Bayesian network structure learning problem in high dimensional domains. It makes a number of contributions in order to solve these problems. In the first step we proposed an incremental local search approach iMMPC to learn a local skeleton for each variable. Further, we proposed an incremental version of Max-Min Hill-Climbing (MMHC) algorithm to learn the whole structure of the network. We also proposed some guidelines to adapt it with sliding and damped window environments. Finally, experimental results and theoretical justifications that demonstrate the feasibility of our approach demonstrated through extensive experiments on synthetic datasets

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Hájek, Martin. „Využití analýzy sociálních sítí při analýze sociálního okolí projektového manažera“. Master's thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-17012.

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Diploma thesis deals with the social environment of a project manager and describes different approaches in its analysis. The social environment is defined as a sum of soft factors that affect a project manager and influence the course of the project. Besides proficiency in various project management methodologies, knowledge of the project plan, and understanding of the client's field of business, awareness of the social environment is essential for eventual project success. Thesis objectives aim at defining the scope of the social environment, and presenting analysis techniques and methods, through which it is possible to enhance overall project performance. Other objectives include stating recommendations for project managers to fully comprehend their social environment, and documenting discussed findings on project related case studies -- among others also on the social networks analysis conducted in a real life project environment. The thesis describes three analysis methods -- social network analysis, stakeholder analysis, and analysis of psychological profile of the team members, which mutually complement each other and provide project managers with a comprehensive overview of their social environments. Social network analysis is elaborated on the most in detail, because it forms theoretical as well as practical introduction to the topic, and a base for further analyses.

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Mdini, Maha. „Anomaly detection and root cause diagnosis in cellular networks“. Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2019. http://www.theses.fr/2019IMTA0144/document.

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Grâce à l'évolution des outils d'automatisation et d'intelligence artificielle, les réseauxmobiles sont devenus de plus en plus dépendants de la machine. De nos jours, une grandepartie des tâches de gestion de réseaux est exécutée d'une façon autonome, sans interventionhumaine. Dans cette thèse, nous avons focalisé sur l'utilisation des techniques d'analyse dedonnées dans le but d'automatiser et de consolider le processus de résolution de défaillancesdans les réseaux. Pour ce faire, nous avons défini deux objectifs principaux : la détectiond'anomalies et le diagnostic des causes racines de ces anomalies. Le premier objectif consiste àdétecter automatiquement les anomalies dans les réseaux sans faire appel aux connaissancesdes experts. Pour atteindre cet objectif, nous avons proposé un algorithme, Watchmen AnomalyDetection (WAD), basé sur le concept de la reconnaissance de formes (pattern recognition). Cetalgorithme apprend le modèle du trafic réseau à partir de séries temporelles périodiques etdétecte des distorsions par rapport à ce modèle dans le flux de nouvelles données. Le secondobjectif a pour objet la détermination des causes racines des problèmes réseau sans aucuneconnaissance préalable sur l'architecture du réseau et des différents services. Pour ceci, nousavons conçu un algorithme, Automatic Root Cause Diagnosis (ARCD), qui permet de localiser lessources d'inefficacité dans le réseau. ARCD est composé de deux processus indépendants :l'identification des contributeurs majeurs à l'inefficacité globale du réseau et la détection desincompatibilités. WAD et ARCD ont fait preuve d'efficacité. Cependant, il est possible d'améliorerces algorithmes sur plusieurs aspects
With the evolution of automation and artificial intelligence tools, mobile networks havebecome more and more machine reliant. Today, a large part of their management tasks runs inan autonomous way, without human intervention. In this thesis, we have focused on takingadvantage of the data analysis tools to automate the troubleshooting task and carry it to a deeperlevel. To do so, we have defined two main objectives: anomaly detection and root causediagnosis. The first objective is about detecting issues in the network automatically withoutincluding expert knowledge. To meet this objective, we have proposed an algorithm, WatchmenAnomaly Detection (WAD), based on pattern recognition. It learns patterns from periodic timeseries and detect distortions in the flow of new data. The second objective aims at identifying theroot cause of issues without any prior knowledge about the network topology and services. Toaddress this question, we have designed an algorithm, Automatic Root Cause Diagnosis (ARCD)that identifies the roots of network issues. ARCD is composed of two independent threads: MajorContributor identification and Incompatibility detection. WAD and ARCD have been proven to beeffective. However, many improvements of these algorithms are possible

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Iova, Oana-Teodora. „Standards optimization and network lifetime maximization for wireless sensor networks in the Internet of things“. Thesis, Strasbourg, 2014. http://www.theses.fr/2014STRAD022/document.

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De nouveaux protocoles ont été standardisés afin d'intégrer les réseaux de capteurs sans fil (WSN) dans l'Internet. Parmi eux, RPL pour la couche routage et IEEE 802.15.4 pour la couche MAC. L'objectif de cette thèse est d'améliorer ces protocoles en prenant compte des contraintes énergétiques des dispositifs du WSN. Tout d'abord, nous avons conçu une nouvelle méthode de diffusion dans la norme IEEE 802.15.4, afin d'assurer une livraison fiable des paquets de contrôle des couches supérieures. Ensuite, nous avons fourni une évaluation exhaustive de RPL, en soulignant un problème d'instabilité qui génère une surcharge d'énergie importante. Compte tenu que la durée de vie des WSN est très limitée, nous avons aussi proposé une nouvelle métrique de routage qui identifie les goulets d'étranglement énergétiques afin de maximiser la durée de vie du réseau. Enfin, en couplant cette mesure avec une version multiparent de RPL, nous avons résolu le problème d'instabilité souligné précédemment
New protocols have been standardized in order to integrate Wireless Sensor Networks (WSN) in the Internet. Among them, the IEEE 802.15.4 MAC layer protocol, and RPL, the IPv6 Routing Protocol for Low-power and Lossy Networks. The goal of this thesis is to improve these protocols, considering the energy constraints of the devices that compose the WSN. First, we proposed a new MAC layer broadcast mechanism in IEEE 802.15.4, to ensure a reliable delivery of the control packets from the upper layers (especially from RPL). Then, we provided an exhaustive evaluation of RPL and highlighted an instability problem. This instability generates a large overhead, consuming a lot of energy. Since the lifetime of WSN is very limited, we proposed a new routing metric that identifies the energy bottlenecks and maximizes the lifetime of the network. Finally, by coupling this metric with a multipath version of RPL, we are able to solve the instability problem previously highlighted

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Feng, Tianyang. „Studying Noise Contributions in Nonlinear Vector Network Analyzer (NVNA) Measurements“. Thesis, Högskolan i Gävle, Avdelningen för elektronik, matematik och naturvetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-13119.

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Noise contribution in nonlinear systems is very different from that in linear systems. The noise effects in nonlinear systems can be complicated and not obvious to predict. In this thesis, the focus was on the noise contribution in nonlinear systems when measuring with the nonlinear vector network analyzer (NVNA). An additional noise source together with a single sinewave signal was fed into the input of the amplifier and the performance was studied. The input power of the amplifier is considered to be the sum of the noise power and the signal power. The variation of the 1 dB compression point and the third order interception point as functions of the added noise power were studied. From the measured results in this thesis, the 1 dB compression point referred to the output power will decrease when increasing the added noise power at the input of the amplifier. The contribution of the added noise to the 1 dB compression point of an amplifier is considered dual: with the added noise the linear regression lines of the AM/AM curves are changed, and due to hard clipping the useful output power is reduced. As a result of those two effects, the added noise made the compression start at a lower power level. When the added noise reaches a certain level, the 1 dB compression point is hard to measure. Thus when performing nonlinear measurements, the noise effects should be taken into considerations and further studies are required to get better understanding of the system’s behavior in noisy environment.

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Van, Rooyen M. W. (Melchior Werner). „Simple broadband measurements of balanced loads using a network analyzer“. Thesis, Stellenbosch : Stellenbosch University, 2001. http://hdl.handle.net/10019.1/52451.

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Thesis (MEng)--University of Stellenbosch, 2001.
ENGLISH ABSTRACT: Balanced loads such as antennas normally require baluns when they are measured. For wide band applications, designing and building a balun complicates the measurement and introduces errors. A simple model for load impedances was developed, together with a novel measurement procedure. The procedure enables the measurement of balanced loads using a network analyzer with no balun. Measured and simulated results are presented.
AFRIKAANSE OPSOMMING: Gebalanseerde laste soos antennas benodig gewoonlik balons om korrek gemeet te word. Die ontwerp van 'n balon vir wye band toepassings bemoeilik die metings en veroorsaak foute. 'n Eenvoudige model vir die lasimpedansies is ontwikkel sowel as 'n eenvoudige meetmetode. Die metode word gebruik om die gebalanseerde laste te meet met 'n netwerk analiseerder sonder die gebruik van 'n balon. Gemete en gesimuleerde resultate word getoon.

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Теребов, И. А., und I. A. Terebov. „Разработка программного обеспечения для DIY Vector Network Analyzer : магистерская диссертация“. Master's thesis, б. и, 2021. http://hdl.handle.net/10995/100812.

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Объектом исследования является прибор DIY Vector Network Analyzer UVNA-63. Целью работы является разработка программного обеспечения для DIY Vector Network Analyzer UVNA-63. В данной работе описана разработка программного обеспечения в программе Matlab. Описана работа разработанных функций измерения. Описана работы разработанного графического интерфейса. Доработка методики лабораторных работ. Актуальность работы обоснована отсутствием программного обеспечения для проведения измерений на векторном анализаторе цепей, который имеется в распоряжении кафедры и может быть задействован в учебном процессе. Разработанное ПО позволит проводить измерения, производить калибровку аппарата, сохранять полученные данные в различных форматах, отображать полученные данные на графике и устанавливать маркеры на графике. Область применения является учебная сфера. С помощью разработанного программного обеспечение возможно выполнять лабораторные работы и измерять исследуемые устройства.
The object of research is the device DIY Vector Network Analyzer UVNA-63. The purpose of the work is to develop software for DIY Vector Network Analyzer UVNA-63. This paper describes software development in Matlab. The operation of the developed measurement functions is described. The work of the developed graphical interface is described. Refinement of the laboratory work methodology. The relevance of the work is justified by the lack of software for carrying out measurements on a vector network analyzer, which is at the disposal of the department and can be used in the educational process. The developed software will make it possible to carry out measurements, calibrate the apparatus, save the obtained data in various formats, display the obtained data on a graph and set markers on the graph. The scope is the educational area. With the help of the developed software, it is possible to carry out laboratory work and measure the investigated devices.

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32

Youngseo, Ko. „Multi-Harmonic Broadband Measurement with an Large-Signal Network Analyzer“. The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1268237958.

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33

Murray, James John. „Development of a real-time automatic network analyzer measurement system“. Master's thesis, University of Cape Town, 1989. http://hdl.handle.net/11427/8331.

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This thesis concerns itself with the development of a real-time automatic Network Analyzer measurement system based on Hewlett Packard's manual HP8410C. The major limitation in non real-time systems is the time required to perform a measurement. Real-time systems have greater measurement speed than their non real-time counterparts, but are also generally less accurate. The main objectives of the thesis are to survey literature on high frequency measurements, to develop hardware and software for a real-time Analyzer and to perform tests with the system.

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Grootboom, Lanche Linden. „Using an Agilent E5071B Vector Network Analyzer and Rotating Platform“. Master's thesis, University of Cape Town, 2013. http://hdl.handle.net/11427/5210.

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Includes abstract.
Includes bibliographical references.
Ultra-Wideband (UWB) technology has become very famous amongst the radar imaging community. This system is well suited for tomographic imaging as it offers high special resolution and a low probability of detection. Some of the UWB applications include ground penetrating radar, medical imaging and some military applications. In this thesis an UWB radar imaging system has been designed and implemented using an Agilent E5071B Vector Network Analyzer and a rotating pedestal. The two ports of the device are used as a transmitter and receiver, measuring the frequency domain data of the scene in front of the antennas at each angular position as the rotating pedestal rotates in front of the antennas. This data is then put through a time domain back-projection algorithm which reconstructs an image of the scene. This is done in 2D space and then later extended to 3D space.

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35

Wang, Qinghua. „Traffic analysis, modeling and their applications in energy-constrained wireless sensor networks on network optimization and anomaly detection /“. Doctoral thesis, Sundsvall : Tryckeriet Mittuniversitetet, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-10690.

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36

Sinha, Amit Kumar Medhi Deepankar. „Methodologies and analyses of broadband access network traffic“. Diss., UMK access, 2007.

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Thesis (Ph.D.)--School of Computing and Engineering. University of Missouri--Kansas City, 2007.
"A dissertation in computer networking and telecommunications networking." Advisor: Deep Medhi. Typescript. Vita. Title from "catalog record" of the print edition Description based on contents viewed July 30, 2008. Includes bibliographical references (leaves 94-100). Online version of the print edition.

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Wilson, Jennifer L. (Jennifer Lynn). „Network analyses for functional genomic screens in cancer“. Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/104236.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Biological Engineering, 2016.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 128-151).
Gene interference screens are a widely adopted and popular tool for uncovering gene function but imperfections in the technology limit the power of these investigations. There are many completed and on-going RNAi investigations across a multitude of biological systems because these experiments are scalable, cost-effective, and relatively easily adapted to multiple experimental environments. The most influential disadvantage is that many of the individual reagents are non-specific and interfere with genes other than the intended target. Efforts to improve limitations in RNAi have focused on statistical models and improving reagents, yet have not explored using biological context to select gene targets. This thesis uses network modeling and data integration to provide context for gene interference studies, and demonstrates the utility of this approach in two systems: Acute Lymphoblastic Leukemia (ALL) is a disease of undifferentiated B-cells that results from accumulation of genetic lesions, yet we have an incomplete understanding of all genes contributing to the disease and how they interact. To discover genetic mediators of this disease, we employ a genome-scale shRNA screen, and complement this data with differential mRNA expression and ChIP-seq data using network integration. The integrated model identifies processes not represented in any input set and predicts novel genes contributing to disease. We specifically validate the role of Wwpl as a tumor suppressor in ALL. Aberrant growth factor pathway activity drives cancer pathology and is the target of molecular cancer therapies. Specifically, the epidermal growth factor receptor (EFGR) pathway and its ligand, transforming growth factor alpha (TGF[alpha]) are clinically relevant to gastric cancer. We use an shRNA screen and Prize Collecting Steiner Forest (PCSF) algorithm to discover the pathway regulating TGF shedding. This pathway identifies common regulators of TGF[alpha] shedding and NF[chi]B regulation, yet targeting NF[chi]B and the EGFR pathway has thus far been unsuccessful in cancer therapies. Our network identifies IRAK1 as a viable path forward for modulating both TGF[alpha] and NF[chi]B in gastric cancer.
by Jennifer L. Wilson.
Ph. D.

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Xia, Yun. „Neuronal Network Analyses in vitro of Acute Individual and Combined Responses to Fluoxetine and Ethanol“. Thesis, University of North Texas, 2002. https://digital.library.unt.edu/ark:/67531/metadc3191/.

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Embryonic murine neuronal networks cultured on microelectrode arrays were used to quantify acute electrophysiological effects of fluoxetine and ethanol. Spontaneously active frontal cortex cultures showed highly repeatable, dose-dependent sensitivities to both compounds. Cultures began to respond to fluoxetine at 3 µM and were shut off at 10-16 µM. EC50s mean ± S.D. for spike and burst rates were 4.1 ± 1.5 µM and 4.5 ± 1.1 µM (n=14). The fluoxetine inhibition was reversible and without effect on action potential wave shapes. Ethanol showed initial inhibition at 20 mM, with spike and burst rate EC50s at 52.0 ± 17.4 mM and 56.0 ± 17.0 mM (n=15). Ethanol concentrations above 100 -140 mM led to cessation of activity. Although ethanol did not change the shape and amplitude of action potentials, unit specific effects were found. The combined application of ethanol and fluoxetine was additive. Ethanol did not potentiate the effect of fluoxetine.

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Tackx, Raphaël. „Analyse de la structure communautaire des réseaux bipartis“. Electronic Thesis or Diss., Sorbonne université, 2018. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2018SORUS550.pdf.

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Il existe dans le monde réel un nombre important de réseaux qui apparaissent naturellement, on les retrouve un peu partout, dans de nombreuses disciplines, par exemple en informatique avec les réseaux de routeurs, les réseaux de satellites, les réseaux de pages Web, en biologie avec les réseaux des neurones, en écologie avec les réseaux d’interactions biologiques, en linguistiques avec les réseaux de synonymes, en droit avec les réseaux de décisions juridiques, en économie avec les réseaux interbancaires, en sciences humaines avec les réseaux sociaux. De manière générale, un réseau reflète les interactions entre les nombreuses entités d’un système. Ces interactions peuvent être de différentes natures, un lien social ou un lien d’amitié dans un réseau social constitué de personnes, un câble dans un réseau de routeurs, une réaction chimique dans un réseau biologique de protéines, un hyperlien dans un réseau de pages Web, etc. Plus encore, la rapide démocratisation du numérique dans nos sociétés, avec Internet notamment, a pour conséquence de produire de nouveaux systèmes qui peuvent être représentés sous forme de réseaux. Finalement, tous ces réseaux présentent des particularités bien spécifiques : ils sont issus de contextes pratiques, ils sont le plus souvent de grande taille (on retrouve quelques fois des réseaux constitués de plusieurs milliards de nœuds et de liens, contenant donc une grande quantité d’information), ils présentent des propriétés statistiques communes. À cet égard, ils sont regroupés sous l’appellation de réseaux réels, graphes de terrain ou encore réseaux complexes. Aujourd'hui, la science des réseaux est un domaine de recherche à part entière dont l’enjeu principal est de parvenir à décrire et modéliser ces réseaux avec précision afin de révéler leurs caractéristiques générales et de mieux comprendre leurs mécanismes. La plupart des travaux dans ce domaine utilisent le formalisme des graphes qui fournit un ensemble d’outils mathématiques particulièrement adaptés à l’analyse topologique et structurelle des réseaux. Il existe de nombreuses applications dans ce domaine, par exemple des applications concernant la propagation d’épidémie ou de virus informatique, la fragilité du réseau en cas de panne, sa résilience en cas d’attaque, l’étude de la dynamique pour prédire l’apparition de nouveaux liens, la recommandation, etc. L’un des problèmes complexes actuels, qui a beaucoup d’applications, est l’identification de la structure communautaire. La grande majorité des réseaux réels sont caractérisés par des niveaux d’organisation dans leur structure mésoscopique. Du fait de la faible densité globale des réseaux réels couplée à la forte densité locale, on observe la présence de groupes de nœuds fortement liés entre eux et plus faiblement liés avec le reste du réseau, que l’on appelle communautés. Ces structures ont également du sens dans le réseau lui-même, par exemple les communautés d’un réseau social peuvent correspondre à des groupes sociaux (amis, familles, etc.), les communautés d’un réseau de protéines peuvent traduire des réponses fonctionnelles, elles peuvent correspondre à des sujets similaires dans un réseau de pages Web, pour donner quelques exemples [...]
In the real world, numerous networks appear naturally, they are everywhere, in many disciplines, for example in computer science with router networks, satellite networks, webpage networks, in biology with neural networks, in ecology with biological interaction networks, in linguistic with synonym networks, in law with legal decision networks, in economy with interbank networks, in social sciences and humanities with social networks. Generally, a network reflects the interactions between many entities of a system. These interactions have different sources, a social link or a friendship link in a social network, a cable in a router network, a chemical reaction in a protein-protein interaction network, a hyperlink in a webpage network. Furthermore, the rapid democratization of digital technology in our societies, with internet in particular, leads to create new systems which can be seen as networks. Finally, all these networks depict very specific features : they come from pratical contexts, most of the time they are big (they may be comprised of several billion of nodes and links, containing a large amount of information), they share statistical properties. In this regard, they are called real-world networks or complex networks. Nowaday, network science is a research area in its own right focusing on describing and modeling these networks in order to reveal their main features and improve our understanding of their mecanisms. Most of the works in this area use graphs formalism which provides a set of mathematical tools well suited for analyzing the topology of these networks. It exists many applications, for instance applications in spread of epidemy or computer viruses, weakness of networks in case of a breakdown, attack resilience, study for link prediction, recommandation, etc. One of the major issue is the identification of community structure. The large majority of real-world networks depicts several levels of organization in their structure. Because of there is a weak global density coupled with a strong local density, we observe that nodes are usually organized into groups, called communities, which are more internally connected than they are to the rest of the network. Moreover, these structures have a meaning in the network itself, for example communities of a social network may correspond to social groups (friends, families, etc.), communities of a protein-protein network may translate fonctions of a cell, communities may be also related to similar subjects in a webpage network [...]

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40

Shu, Xingliang. „Electrocardiograph Signal Classification By Using Neural Network“. University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1592395089900722.

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41

Daniel, John Edward. „Development of enhanced multiport network analyzer calibrations using non-ideal standards“. [Tampa, Fla.] : University of South Florida, 2005. http://purl.fcla.edu/fcla/etd/SFE0001392.

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42

Neuenhahn, Martin Christian [Verfasser]. „Emulator- und kostenbasierte Analyse von Network-on-Chip / Martin Christian Neuenhahn“. Hannover : Gottfried Wilhelm Leibniz Universität Hannover, 2019. http://d-nb.info/1192440501/34.

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43

HSIEH, I.-LUN, und 謝易倫. „Analyze the structures of cancer networks and signal transduction networks using network motif approach“. Thesis, 2018. http://ndltd.ncl.edu.tw/handle/2qnm84.

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碩士
國立虎尾科技大學
資訊工程系碩士班
106
Molecular biological networks are composed of many small network modules, which are called network motifs. These network motifs are often play important roles in biological network. This study makes use of information theory to characterize the network motifs. We will perform a series of comparison and analysis on network motifs, with the hope that it could possibly enhance our understanding of the underlying structures of the biological networks. In the previous study, we have conducted functional enrichment analysis for 16 cancer networks and 24 signal transduction networks derived from KEGG database, and thereby compared their motif structures by information theory. This study will make several efforts to extend the previous study. These improvements include: (1) utilizes the latest KEGG data, (2) extend data source: by including new cancer networks and signal transduction networks; (3) use of generalized graph energy to characterize network motifs, (4) combine the graph energy, reciprocal links and cyclomatic complexity parameters to uniquely label the network motifs – so-called motif fingerprint indices, (5) compute the Jensen-Shannon entropy and thereby measure the similarity between two networks. We believe this thesis could help dissecting the underlying structures of biological networks, and the method proposed by this study could possibly be further applied in the analysis of non-biological complex networks.

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Zhong, Ming-Xun, und 鍾明勳. „Using NetFlow to Analyze Usage and Anomalies in Large Network“. Thesis, 2004. http://ndltd.ncl.edu.tw/handle/82448725733539839302.

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碩士
國立中山大學
資訊工程學系研究所
92
NetFlow is a de facto protocol to export information about IP flow from network device. In this paper, we describe the modification to the famous open source software Flow-tools which let it has the ability to process the large NetFlow data under reasonable time and resource in the first part. In second part, we propose a series network usage and anomalies analysis methods, using TANet as example. These analyses are useful for capacity planning, peering, security, usage policy enacting.

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Lu, Ko-Ping, und 盧可平. „Applying Cascade Neural Network to analyze Energy Saving of Chiller“. Thesis, 2018. http://ndltd.ncl.edu.tw/handle/kq6cuz.

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碩士
國立臺北科技大學
能源與冷凍空調工程系
106
Three methods are applied in this study: linear regression, backpropagation network and cascade forward backpropagation network. The power consumption models, before cleaning the condenser, are established by using these three methods. We collect data of the chillers after cleaning condenser, then simulate the power consumption of the chillers before cleaning by using these three models. After that, the simulate results and improvement of performance are analyzed and compared by using three methods under the same baseline. In this study, the model established by cascade forward backpropagation network is more accurate and have less error than the models established by linear regression and backpropagation network. In the result, we realized that the effects of energy saving after we cleaned the condenser in case 1 is about 5.1% and in case 2 is 3.77%. In case 3, the results show that replacing hydrocarbon refrigerant R-290 can get about 25% of energy saving. Generally, using neural network to do simulation will get high accuracy. Cascade forward backpropagation network can consider the original input so that can make the results more accurate.

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LOAN, BUI THANH, und BUI THANH LOAN. „Using DEMATEL to Analyze Patent Network of Touch Screen Techniques“. Thesis, 2013. http://ndltd.ncl.edu.tw/handle/60414737093179031865.

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碩士
開南大學
國際企業學系
101
Patents are used by companies to protect their innovations; therefore the patent analysis is a very important work in a business. Normally, the main reason of error occurring in the patent analysis process is because of inaccurate information and misunderstanding information language. So, working in this field requires two essential factors so called an absoluteness and practical experience. Nowadays, it is necessary for a company to have a good patent analysis, the more accurate the patent analysis can be the more successful the company’s strategy will be. According to the present tendency, smartphone is one of the most competitive products, which is able to substitute for several digital devices such as camera, console. Therefore, smartphone patent infringement becomes very complicated. By dissecting smartphone industry, this research will prove the significance of the touch screen patent analysis toward one entrepreneur. It combines Decision Making Trial and Evaluation Laboratory (DEMATEL) and Clustering Method with Patent Guider which is a newly developed patent analysis tool to analyse patent citation. Commonly, the smartphone technology patents cannot be simultaneously grouped and ranked in an easy apprehensible manner. Therefore, in order to make this research become understandable to the reader, the Clustering Method will be introduced. The result of this research shows: 1. There is an intimate relationship between patent citation documents of each company. 2. Apple Company according to this research has a high quality of patent citation documents and almost other companies have been affected by Apple. 3. LG Company has a highest amount of patent documents, and this company was focus on research and developing capability in the past. But it does not mean LG has most important patent documents compare with other companies. 4. By analysing touch screen technology patent we found: Touch panel and electronic data processing got the highest investment in smartphone industry. In addition, this research could be used as a reference source for other advanced research. Key words: Smartphone patent, Touch screen, Patent Network Analysis, DEMATEL.

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Hsiao, Shuo-I., und 蕭碩毅. „Using NetFlow Technique to Analyze the Behavior of Mobile Network Users“. Thesis, 2013. http://ndltd.ncl.edu.tw/handle/95296277064733714466.

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48

Wu, Chia-Chen, und 吳佳真. „Analyze of Network Neutrality Issues From the Perspective of Free Speech“. Thesis, 2018. http://ndltd.ncl.edu.tw/handle/ypgkjg.

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碩士
國立臺北大學
法律學系一般生組
106
Network Neutrality is an important public policy issue in United Stated. Since Federal Communications Commission (FCC) announced Network Neutrality policy in 2005, three orders has been issued continuously by FCC and has been reviewed by Federal Circuit Court for three times. This show the regulation of Net Neutrality has triggered many arguments in legislation. For the past few years, our country, Taiwan, paid more attention in Network Neutrality than before. Thus, this paper will explore the development of the legalization of Network Neutrality in United Stated, and focus on the constitutionality of the network neutrality policy from the perspective of freedom of speech. Provide reference for Taiwan's future broadband supervision direction. Keywords: Network Neutrality, Freedom of Speech, First Amendment to the United States Constitution, Broadband Service Providers, Editorial Discretion, Restoring Internet Freedom Order, State Action Doctrine.

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Li, Hsiang-Ju, und 李相儒. „Analyze firms’ market valuation and operational performance by social network variables“. Thesis, 2019. http://ndltd.ncl.edu.tw/handle/73syvv.

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碩士
國立中山大學
財務管理學系研究所
107
This paper investigates how network structural measures─network constraint, information centrality, and integration centrality─affect firms’ market valuation and operational performance. Using major customers and financial data from COMPUSTAT for the period 1998-2013, this study first concludes that network constraint and information centrality are negatively associated with firms’ market valuation. However, firms with high integration centrality can enhance their market valuation. In addition, firms with high network constraint can enhance their operational performance, in which the enhancement of operational performance can be attributed to the improvement of network constraint on assets turnover. Lastly, we find that all three network structure variables play positive impacts on firms’ assets turnover.

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Ni, Hsu-Yang, und 倪旭揚. „Use two Geometrical-derived Parameters to Analyze two Port Active Network Stability“. Thesis, 2000. http://ndltd.ncl.edu.tw/handle/10142962243466786602.

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碩士
國立中興大學
電機工程學系
88
With the operation speed of circuit increasing, the range of frequency is wider and stable situations become multiplex. Thus my thesis is motivated to find a wider and more precise discuss to analyze two-port network stability at any frequency available. The thesis describes stability and gain of two-port active networks which are operated in small signal. According to its stable degree, show individual case which exists as possible. Chapter 2 uses two geometrical-derived parameterμandν,and geometry angle to divide into 16 cases. Also determine their stability factor D,E,K,B range. With μandν parameters, we are able to get more sense about two-port active network stability. And R.F. circuit design is much easier in hand. Chapter 3 includes more detail deduction of gain formulas and gain profiles. And power gain vs. reflection coefficient diagrams are illustrated for 16 cases introduced by Chapter 2. Through its analysis, stability and power gain of two-port active networks can be selected. It will be very useful to trade off stability and match properties.

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Dissertationen zum Thema „Network analyze“

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