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Ben, Chaabene Nour El Houda. "Détection d'utilisateurs violents et de menaces dans les réseaux sociaux". Electronic Thesis or Diss., Institut polytechnique de Paris, 2022. http://www.theses.fr/2022IPPAS001.
Pełny tekst źródłaOnline social networks are an integral part of people's daily social activity. They provide platforms to connect people from all over the world and share their interests. Recent statistics indicate that 56% of the world's population use these social media. However, these network services have also had many negative impacts and the existence of phenomena of aggression and intimidation in these spaces is inevitable and must therefore be addressed. Exploring the complex structure of social networks to detect violent behavior and threats is a challenge for data mining, machine learning, and artificial intelligence. In this thesis work, we aim to propose new approaches for the detection of violent behavior in social networks. Our approaches attempt to resolve this problem for several practical reasons. First, different people have different ways of expressing the same violent behavior. It is desirable to design an approach that works for everyone because of the variety of behaviors and the various ways in which they are expressed. Second, the approaches must have a way to detect potential unseen abnormal behaviors and automatically add them to the training set. Third, the multimodality and multidimensionality of the data available on social networking sites must be taken into account for the development of data mining solutions that will be able to extract relevant information useful for the detection of violent behavior. Finally, approaches must consider the time-varying nature of networks to process new users and links and automatically update built models. In the light of this and to achieve the aforementioned objectives, the main contributions of this thesis are as follows: - The first contribution proposes a model for detecting violent behavior on Twitter. This model supports the dynamic nature of the network and is capable of extracting and analyzing heterogeneous data. - The second contribution introduces an approach for detecting atypical behaviors on a multidimensional network. This approach is based on the exploration and analysis of the relationships between the individuals present on this multidimensional social structure. - The third contribution presents a framework for identifying abnormal people. This intelligent framework is based on the exploitation of a multidimensional model which takes as input multimodal data coming from several sources, capable of automatically enriching the learning set by the violent behaviors detected and considers the dynamicity of the data in order to detect new violent behaviors that appear on the network. This thesis describes achievements combining data mining techniques with new machine learning techniques. To prove the performance of our experimental results, we sums based on real data taken from three popular social networks
Possamai, Lino <1978>. "Multidimensional analysis of complex networks". Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amsdottorato.unibo.it/5389/1/possamai_lino_tesi.pdf.
Pełny tekst źródłaPossamai, Lino <1978>. "Multidimensional analysis of complex networks". Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amsdottorato.unibo.it/5389/.
Pełny tekst źródłaRingienė, Laura. "Hybrid neural network for multidimensional data visualization". Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2014. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2014~D_20140912_140117-42267.
Pełny tekst źródłaŠio darbo tyrimų sritis yra duomenų tyryba remiantis daugiamačių duomenų vizualia analize. Tai leidžia tyrėjui betarpiškai dalyvauti duomenų analizės procese, geriau pažinti sudėtingus duomenis ir priimti geriausius sprendimus. Disertacijos tikslas yra sukurti metodą tokios duomenų projekcijos radimui plokštumoje, kad tyrėjas galėtų pamatyti ir įvertinti daugiamačių taškų tarpgrupinius panašumus/skirtingumus. Šiam tikslui pasiekti yra pasiūlytas radialinių bazinių funkcijų ir daugiasluoksnio perceptrono, turinčio ,,butelio kaklelio“ neuroninio tinklo savybes, junginys. Naujas tinklas naudojamas vizualiai daugiamačių duomenų analizei, kai atidėjimui plokštumoje arba trimatėje erdvėje taškai gaunami paskutinio paslėpto neuronų sluoksnio išėjimuose, kai į tinklo įėjimą paduodami daugiamačiai duomenys. Šio tinklo ypatybė yra ta, kad gautas vaizdas plokštumoje labiau atspindi bendrą duomenų struktūrą (klasteriai, klasterių tarpusavio artumas, taškų tarpklasterinis panašumas) nei daugiamačių taškų tarpusavio išsidėstymą.
Zignani, M. "FROM SMALL-WORLDS TO BIG DATA:TEMPORAL AND MULTIDIMENSIONAL ASPECTS OF HUMAN NETWORKS". Doctoral thesis, Università degli Studi di Milano, 2014. http://hdl.handle.net/2434/233322.
Pełny tekst źródłaLi, Yan. "Multidimensional protein separations in a plastic microfluidic network". College Park, Md. : University of Maryland, 2003. http://hdl.handle.net/1903/194.
Pełny tekst źródłaThesis research directed by: Chemistry. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
Suh, Young-Joo. "Realizations of efficient collective communication in multidimensional processor arrays". Diss., Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/13343.
Pełny tekst źródłaTulabandula, Sridhar. "Localization of wireless sensor networks using multidimensional scaling". Diss., Columbia, Mo. : University of Missouri-Columbia, 2007. http://hdl.handle.net/10355/4986.
Pełny tekst źródłaThe entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on April 17, 2008) Includes bibliographical references.
Sumanasena, M. G. Buddika. "A multidimensional systems approach to grid sensor networks". Thesis, University of Notre Dame, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3578994.
Pełny tekst źródłaA method for distributed information processing in rectangular grid based wireless sensor networks is presented, employing the Givone-Roesser and the Fornasini-Marchesini state space models for m-D systems. It can be used for distributed implementation of any general linear system on a grid sensor network. The method is highly scalable and requires only communication between immediate neighbors.
Usage of finite precision schemes for the representation of numbers and computations introduce nonlinearities to the otherwise linear m-D system models. Nonlinearities caused by fixed point and floating point number representation schemes used for in node computations and inter-node communication are modeled. Stability of the system is analyzed with special consideration given to the influence of inter-node communication on system dynamics. Necessary and sufficient conditions for the global asymptotic stability under both fixed point and floating point arithmetic is derived. It has been shown that the global asymptotic stability of the sensor networks is equivalent to that of a 1-D system for both the cases of fixed point and floating number representation.
Issues posed by communication time delay, in real-time implementation of the proposed method, are discussed. It is shown that, in order to implement a real-time sensor network, system matrices of the state space models have to satisfy certain conditions. A necessary and sufficient condition for a transfer function to be realizable in the constrained state space models is established. Realization algorithms to derive state space models of the desired form given an admissible transfer function are also presented. Node and link failure introduce complications not encountered in centralized implementation of m-D systems. Givone-Roesser and the Fornasini-Marchesini state space models are extended to include node and link failure. Necessary and sufficient conditions for mean square stability are then derived with the help of these two state space models. Input output stability of the distributed systems under node and link failure is also discussed.
The utility of the proposed method is demonstrated by examples. In particular a distributed Kalman filter is proposed for grid sensor networks. Implementation of the proposed Kalman filter on grid sensor networks is discussed in some detail. A method for contaminant detection and its implementation using the proposed method is also presented.
Ahmed, Ahmed Abdol-Monem. "Experimental study of localization in sensor networks and design of adaptive localization". Diss., Columbia, Mo. : University of Missouri-Columbia, 2005. http://hdl.handle.net/10355/5829.
Pełny tekst źródłaThe entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file viewed on (Novembr 15, 2006) Vita. Includes bibliographical references.
Esfandyari, A. "MULTIDIMENSIONAL ANALYSIS OF PEOPLE'S BEHAVIOR IN ONLINE SOCIAL NETWORKS". Doctoral thesis, Università degli Studi di Milano, 2017. http://hdl.handle.net/2434/470004.
Pełny tekst źródłaThe unprecedented and quickly increasing popularity of Online Social Networks (OSNs) is evidenced by the huge number of users who are turning to Facebook, Twitter and other social networks. The rapid growth of these online social networks provides a unique chance to study and understand the online behavior of the people. In this thesis, we analyze people's behavior in online social network considering the fact that online behavior of people is influenced by different factors which derive from the combination of their offline and online life. First, we perform a multidimensional analysis of users across multiple social media sites to give an all-around picture of people’s online behavior. While people in their online life have access to a wide portfolio of social platforms, little is known about users’ behavior when they have different online communication media available. Our findings represent some novel insights about people’s behavior across social media. Having at our disposal users’ degree in five different social networks, we find that the individuals’ importance changes from medium to medium. The longitudinal nature of our dataset has been exploited to investigate the posting activity. We find a slightly positive correlation on how often users publish on different social media and we confirm the burstiness of the posting activities extending it to multidimensional time-series. Second, we develop an innovative identification methodology for connecting people across multiple social platforms. Relying on common public attributes available through the official application programming interface (API) of social networks, we construct negative instances in three different ways, going beyond the commonly adopted random selection to evaluate the robustness of our identification algorithm on different datasets. Results show that the approach can lead to a very effective identification method and methodology for building reliable datasets. Moreover, we analyzed the success of our method in a real scenario built on Google+/Facebook neighborhoods. Experiments reveal the advantages of the proposed method in comparison to previous methods in the literature. Finally, we take the first step towards understanding the effect of offline events on the graph structure of the social network where they are advertised. More precisely, we perform a temporal analysis of the event social network, constituted by people declaring to attend the event on Facebook and the links between them, and evaluated how it evolves during the event time period. The results show that new friendships are created during events and that this new friendships creation is one of the main reasons of triangle closure and the higher degrees observed in the last day of the events period.
Medvedev, Viktor. "Research of multidimensional data visualization using feed-forward neural networks". Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2008. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2008~D_20080204_162417-59477.
Pełny tekst źródłaDisertacijos tyrimų sritis yra daugiamačių duomenų analizė, bei tų duomenų suvokimo gerinimo būdai. Duomenų suvokimas yra sudėtingas uždavinys, ypač kai duomenys nurodo sudėtingą objektą, kuris aprašytas daugeliu parametrų. Disertacijoje nagrinėjami dirbtinių neuroninių tinklų algoritmai daugiamačiams duomenims vizualizuoti. Darbo tyrimų objektas yra dirbtiniai neuroniniai tinklai, skirti daugiamačių duomenų vizualizavimui. Su šiuo objektu yra betarpiškai susiję dalykai: daugiamačių duomenų vizualizavimas; dimensijos mažinimo algoritmai; projekcijos paklaidos; naujų taškų atvaizdavimas; vizualizavimui skirto neuroninio tinklo permokymo strategijos ir parametrų optimizavimas; lygiagretieji skaičiavimai. Pagrindinis disertacijos tikslas yra sukurti ir tobulinti metodus, kuriuos taikant būtų efektyviai minimizuojamos daugiamačių duomenų projekcijos paklaidos naudojantis dirbtiniais neuroniniais tinklais bei projekcijos algoritmais. Darbe atliktų tyrimų rezultatai atskleidė naujas medicininių (fiziologinių) duomenų analizės galimybes.
Mair, Patrick, Thomas Rusch i Kurt Hornik. "The grand old party - a party of values?" Springer, 2014. http://dx.doi.org/10.1186/2193-1801-3-697.
Pełny tekst źródłaO'Neill, Jason Michael. "Multidimensional Mass Spectrometry Studies on Amphiphilic Polymer Blends and Cross-Linked Networks". University of Akron / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=akron1624375174939496.
Pełny tekst źródłaLanger, Max. "Design of Fast Multidimensional Filters by Genetic Algorithms". Thesis, Linköping University, Department of Biomedical Engineering, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2704.
Pełny tekst źródłaThe need for fast multidimensional signal processing arises in many areas. One of the more demanding applications is real time visualization of medical data acquired with e.g. magnetic resonance imaging where large amounts of data can be generated. This data has to be reduced to relevant clinical information, either by image reconstruction and enhancement or automatic feature extraction. Design of fast-acting multidimensional filters has been subject to research during the last three decades. Usually methods for fast filtering are based on applying a sequence of filters of lower dimensionality acquired by e.g. weighted low-rank approximation. Filter networks is a method to design fast multidimensional filters by decomposing multiple filters into simpler filter components in which coefficients are allowed to be sparsely scattered. Up until now, coefficient placement has been done by hand, a procedure which is time-consuming and difficult. The aim of this thesis is to investigate whether genetic algorithms can be used to place coefficients in filter networks. A method is developed and tested on 2-D filters and the resulting filters have lower distortion values while still maintaining the same or lower number of coefficients than filters designed with previously known methods.
Kettemann, Anita Stefanie. "Mathematical modelling and numerical simulation of chemosensitive cell dynamics in multidimensional tissue networks". Aachen Shaker, 2009. http://d-nb.info/1001048598/04.
Pełny tekst źródłaSitte, André, Oliver Koch, Jianbin Liu, Ralf Tautenhahn i Jürgen Weber. "Multidimensional flow mapping for proportional valves". Technische Universität Dresden, 2020. https://tud.qucosa.de/id/qucosa%3A71093.
Pełny tekst źródłaSourty, Marion. "Analyse de la dynamique temporelle et spatiale des réseaux cérébraux spontanés obtenus en imagerie par résonance magnétique fonctionnelle". Thesis, Strasbourg, 2016. http://www.theses.fr/2016STRAD002/document.
Pełny tekst źródłaThe functional magnetic resonance imaging (fMRI) is a perfect tool for mapping in a non- invasive manner the activity of the cortex, giving access to the functional organization of the brain. This organization of brain areas into complex networks remains a large topic of study, both from a fundamental research perspective, to better understand the development and function of the brain, and from a clinical perspective, for diagnostic purposes for instance. The resting-state networks in a given subject can be observed in fMRI studies where no motor or cognitive tasks are imposed to the subject. The first part of this thesis focused on the development of an automatic identification method of these networks. Performed at the subject level, this method selects all the resting-state networks proper to the subject. Beyond the detection and identification of these networks, the study of interactions between these networks in space and time, and more generally the analysis of the dynamic functional connectivity (DFC), is the subject of growing interest. This analysis requires the development of innovative methods of signal or image processing that, for now, are still exploratory. The second part of this thesis thus presents new approaches to characterize the DFC using the probabilistic framework of multidimensional hidden Markov models. Conversational mechanisms between brain networks can be identified and characterized at the resolution of the second. Two applications, first on a single subject then on a group, helped to highlight the changes of dynamic properties of interaction between networks under certain conditions or diseases
Kodali, Lata. "Extensions of Weighted Multidimensional Scaling with Statistics for Data Visualization and Process Monitoring". Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/99911.
Pełny tekst źródłaDoctor of Philosophy
In this work, two main ideas in data visualization and anomaly detection in dynamic networks are further explored. For both ideas, a connecting theme is extensions of a method called Multidimensional Scaling (MDS). MDS is a dimension-reduction method that takes high-dimensional data (all $p$ dimensions) and creates a low-dimensional projection of the data. That is, relationships in a dataset with presumably a large number of dimensions or variables can be summarized into a lower number of, e.g., two, dimensions. For a given data, an analyst could use a scatterplot to observe the relationship between 2 variables initially. Then, by coloring points, changing the size of the points, or using different shapes for the points, perhaps another 3 to 4 more variables (in total around 7 variables) may be shown in the scatterplot. An advantage of MDS (or any dimension-reduction technique) is that relationships among the data can be viewed easily in a scatterplot regardless of the number of variables in the data. The interpretation of any MDS plot is that observations that are close together are relatively more similar than observations that are farther apart, i.e., proximity in the scatterplot indicates relative similarity. In the first project, we use a weighted version of MDS called Weighted Multidimensional Scaling (WMDS) where weights, which indicate a sense of importance, are placed on the variables of the data. The problem with any WMDS plot is that inaccuracies of the method are not included in the plot. For example, is an observation that appears to be an outlier, really an outlier? An analyst cannot confirm this without further context. Thus, we created a model to calculate, visualize, and interpret such inaccuracy or uncertainty in WMDS plots. Such modeling efforts help analysts facilitate exploratory data analysis. In the second project, the theme of MDS is extended to an application with dynamic networks. Dynamic networks are multiple snapshots of pairwise interactions (represented as edges) among a set of nodes (observations). Over time, changes may appear in some of the snapshots. We aim to detect such changes using a process monitoring approach on dynamic networks. Statistical monitoring approaches determine thresholds for in-control or expected behavior that are calculated from data with no signal. Then, the in-control thresholds are used to monitor newly collected data. We applied this approach on dynamic network data, and we utilized a detailed simulation study to better understand the performance of such monitoring. For the simulation study, data are generated from dynamic network models that use MDS. We found that monitoring summary statistics of the network were quite effective on data generated from these models. Thus, simple tools may be used as a first step to anomaly detection in dynamic networks.
Deleskog, Viktor. "Sensor Localization Calibration of Ground Sensor Networks with Acoustic Range Measurements". Thesis, Linköpings universitet, Reglerteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-81655.
Pełny tekst źródłaKremer, Marius Verfasser], Ullrich [Akademischer Betreuer] [Englert i Manfred [Akademischer Betreuer] Martin. "Exploring dicarboxylic acids as ligands in multidimensional coordination networks / Marius Kremer ; Ulli Englert, Manfred Martin". Aachen : Universitätsbibliothek der RWTH Aachen, 2020. http://d-nb.info/1230322922/34.
Pełny tekst źródłaKettemann, Anita S. [Verfasser]. "Mathematical modelling and numerical simulation of chemosensitive cell dynamics in multidimensional tissue networks / Anita S Kettemann". Aachen : Shaker, 2010. http://d-nb.info/1124364048/34.
Pełny tekst źródłaFernández-Carro, Celia. "‘Ageing in Place’ in Europe: A multidimensional approach to independent living in later life". Doctoral thesis, Universitat Autònoma de Barcelona, 2013. http://hdl.handle.net/10803/129081.
Pełny tekst źródłaIn the industrialised countries, the longevity increase has lead into the extension of the time that elderly people remain in their homes. Whether de facto or by election, the reality is that the vast majority of older people are living in a private accommodation until a severe decline in health status forces a move towards a nursing institution. This experience, the fact to remain at home in later life, has been conceptualised as ‘Ageing in Place’ or ‘Independent Living’. This thesis has utilised the ‘ageing in place’ concept to explore the multidimensional relationship among older people and their living environment that permit them to remain at home despite changes in their living conditions due to ageing process. The aim has been to analyse how independent living is attained, what are its caracteristics and strategies that shape its development, and what the mechanisms enhance it. Given that ‘Ageing in Place’ notion have been used simoutanoeusly in the scientific field and in the institutional ambit, that has convert it in the mainstrean term under which present the social, care and housing policies in Europe, the emergents debates from this dichotomy are a central part of this investigation. All in all, the questions that this thesis sets out are “what we are talking about when we talk about ageing in place’ and “which factors that condition the ageing in palce experience?”. Focused in the European context, this thesis performs a cross-national analysis among the EU15 countries, exploring four components of Ageing in Place experience. The study of the demographic component aims to caractherise the profiles of those elderly people that remain living at home, quantifiying the magnitude of the phenomenon and highlighting the similarities and divergences among regions. The residential component analyse the living conditions of older Europeans, besides to analyse to what extent these conditions shape the residential satisfaction in later life. The social component of Ageing in Place is analysed idetifiying the support mechanisms, both formal or informal, that help older people to remain living in their own home. The role of family networks is essential in care provission, reason why family ties is a core aspect of the analysis. This thesis also aims to shed light on the individual component of ageing in place, investigating about the aspects that condition the ideal images that older people maintain about the best enviroment to growing older; in the own home, co-residing with a relative or in an institution. The spatial scope of this last analysis only consider one country: Spain. The two main data sources used are cross-European: Survey of Ageing, Retirement and Health in Europe (SHARE) and the European Union Statistics of Income and Living Conditions (EU-SILC), allowing the cross-national perspective. The objective is to assess if the North-South gradient based in the development of welfare states and the socio-cultural diversity in family relationships determine the way older people is ageing at home in the different regions of the continent. The empirical analysis is developed by means of multivariate techniques, from Logistic Regression models, to distinct applications of Discrete Choice Models, as Logit or Probit. The empirical results obtained invite to reflect about ageing, the new identities of older people and the discourses generated by demographic change. This work also contributes to the debate about the role that families and states have on well-being in later life.
Shabut, Antesar Ramadan M. "Trust computational models for mobile ad hoc networks : recommendation based trustworthiness evaluation using multidimensional metrics to secure routing protocol in mobile ad hoc networks". Thesis, University of Bradford, 2015. http://hdl.handle.net/10454/7501.
Pełny tekst źródłaShabut, Antesar R. M. "Trust Computational Models for Mobile Ad Hoc Networks. Recommendation Based Trustworthiness Evaluation using Multidimensional Metrics to Secure Routing Protocol in Mobile Ad Hoc Networks". Thesis, University of Bradford, 2015. http://hdl.handle.net/10454/7501.
Pełny tekst źródłaMinistry of Higher Education in Libya and the Libyan Cultural Attaché bureau in London
Johnson, Lauren. "A MULTIDIMENSIONAL APPROACH TO INTERORGANIZATIONAL COMMUNICATION VIA EMERGENCY MANAGEMENT ORGANIZATIONS AND THEIR TWITTER ACCOUNTS". UKnowledge, 2019. https://uknowledge.uky.edu/comm_etds/83.
Pełny tekst źródłaSvensson, Björn. "A Multidimensional Filtering Framework with Applications to Local Structure Analysis and Image Enhancement". Doctoral thesis, Linköpings universitet, Medicinsk informatik, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-11271.
Pełny tekst źródłaLiu, Quan. "Modélisation bayésienne des interactions multidimensionnelles dans un système complexe : application à la gestion des risques de crues". Thesis, Toulouse, INPT, 2018. http://www.theses.fr/2018INPT0038/document.
Pełny tekst źródłaThe work addresses the modelling and analysis of complex systems, characterized, in an uncertain and evolving framework, by numerous interactions between components. Within a risk management framework, the work aims to create a spatio-temporal causal model for the explanation and probability of certain feared events for diagnostic and prognostic purposes. The modelling work is based on the Bayesian approach and, more specifically, on the Bayesian Networks (BN). In an attempt to consider large-scale systems and represent their spatio-temporal complexity, their multi-scale and uncertain character in a dynamic framework, the idea of this work is then to extend the concept of Dynamic Bayesian Networks (DBN) and use the Object Oriented paradigm to apply it to Bayesian networks. In their current form, object-oriented Bayesian networks can create reusable but not instantiable instances. In other words, this implies that the generated object is likely to be called several times in the construction of a model, but without these parameters (marginal or conditional probabilities tables) being modified. This thesis aims to fill this gap by proposing a structured approach to construct large object-based systems (characterized by simple Bayesian networks) whose parameters can be updated according to the moment or context of their call and use. This concept is embodied in the form of Bayesian Multidimensional Networks by their propensity to combine several dimensions, whether spatial or temporal
Wang, Shuo. "Joint Analysis of Social and Item Response Networks with Latent Space Models". The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1571918340162685.
Pełny tekst źródłaKoneru, Avanthi. "Comparative Study of RSS-Based Collaborative Localization Methods in Wireless Sensor Networks". Thesis, University of North Texas, 2006. https://digital.library.unt.edu/ark:/67531/metadc5452/.
Pełny tekst źródłaVicente, Paulo Nuno Gouveia. "International News Reporting in the Multidimensional Network: The socio-demographics, professional culture and newswork of foreign correspondents working across Sub-Saharan Africa". Doctoral thesis, Faculdade de Ciências Sociais e Humanas, Universidade Nova de Lisboa, 2013. http://hdl.handle.net/10362/10798.
Pełny tekst źródłaUma porção significativa do nosso conhecimento quotidiano sobre a África Subsaariana provém do trabalho dos repórteres internacionais. Contudo, e ainda que estes actores desempenhem um papel crítico na comunicação do Outro distante, frequentemente criticado pelos seus défices representacionais, a investigação académica sobre o trabalho dos correspondentes internacionais tem sido consideravelmente negligenciada: encontra-se desactualizada em décadas, carecendo de um exame sistemático das realidades efectivas do jornalismo em África e da evolução do trabalho de Pro-Ams e organizações de media dos cidadãos, suportados por meios digitais ligados em rede. Esta tese tem como objecto a caracterização e análise sociodemográfica destes indivíduos, das suas culturas profissionais e trabalho noticioso. Inspecciona trajectórias de longo curso no jornalismo internacional, combinando-as com desenvolvimentos de curto prazo baseados nas transformações na microelectrónica e digitalização. São delineadas três linhas de inquérito: quem está realmente a reportar em todo o continente, quais são as principais características das culturas ocupacionais e os constrangimentos que impendem sobre as rotinas de produção dos trabalhadores noticiosos. Avaliamos como estão os repórteres internacionais a reposicionar-se num ambiente comunicacional em transformação, como interpretam a sua própria ocupação e o papel dos actores emergentes na esfera mediática transnacional. Simultaneamente, contribuímos com uma investigação exploratória sobre as actividades das organizações de media dos cidadãos. Para cumprir estes objectivos, conduzimos o primeiro questionário online Pan-Africano de que há registo sobre o trabalho dos repórteres internacionais, recolhendo respostas de 124 participantes em 41 países. Estes resultados são complementados através de entrevistas semiestruturadas com 43 jornalistas profissionais, em Nairobi, Dakar e Joanesburgo. Os resultados obtidos desafiam a narrativa que apresenta a reportagem internacional como uma espécie em extinção. Ao invés, suportam uma visão diferenciada entre continuidades localizadas e rupturas localizadas na contemporânea e pós-industrial esfera mediática: a sua sociodemografia expressa uma nova economia da correspondência internacional caracterizada por uma considerável precariedade, particularmente no caso dos trabalhadores independentes (freelance), enquanto a utilização de media digitais ligados em rede conduz o campo a uma confederação de correspondências com múltiplas camadas. O campo não é já um território exclusivo de profissionais e estes têm agora de lidar com a escala sem precedentes de conteúdos gerados pelos utilizadores e reacções directas. Os profissionais despendem uma muito considerável porção de tempo diário na Internet, o que sugere uma mudança de paradigma nas práticas de recolha informativa e, em última análise, na sua cultura epistemológica.
Rimec, Daniel. "Multidimensional Assessment For a Case Studied Zero Energy Building : Climate positive buildings with and without a connection to the district heating network". Thesis, Mälardalens högskola, Akademin för ekonomi, samhälle och teknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-54650.
Pełny tekst źródłaVerbylaitė, Laura. "Atgalinio klaidos sklidimo neuroninio tinklo realizavimo problemos ir taikymai". Master's thesis, Lithuanian Academic Libraries Network (LABT), 2008. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2008~D_20080924_175458-27006.
Pełny tekst źródłaThis paper offers a profound research the theory of artificial neural network. It gives a deep analysis of error back propagation and provides error back propagation program written in C++ language and Matlab system with relevant neural network construction tools. To compare both programs I carried out research of wines recognition data and irises data. Analyzed feedforward neural network with hidden one and two layers.
Gorana, Rakić Bajić. "Psihološko blagostanje: provera realnostikonstrukta u okviru multidimenzionog modela Carol Ryff". Phd thesis, Univerzitet u Novom Sadu, Filozofski fakultet u Novom Sadu, 2016. http://www.cris.uns.ac.rs/record.jsf?recordId=100356&source=NDLTD&language=en.
Pełny tekst źródłaThe main goal of the presented study was to extend the existing knowledge on thepsychological well-being though testing psychological well-beingmultidimensionality and relationship with its correlates. The six-dimension Carol Ryffmodel of the psychological well-being was used, which consists of the followingdimensions: Self-acceptance, Personal growth, Environmental mastery, Autonomy,Purpose in life and Positive relations with others. Also included was a relationshipbetween psychological well-being and assumed predictors and consequences.The research included 657 adults, aged between 18 to 89 years, from Serbia.The following instruments were used: a questionnaire on socio-demographiccharacteristics, Scales of Psychological Well-Being, Satisfaction with life scale, Thepositive and negative affect schedule – PANAS, Experience of Close RelationshipsScale, Beck Anxiety Inventory, the self-silencing scale, Optimism – pessimism scaleand Depressive personality scale.The results did not confirm the six-dimension model theory, but did indicate amultidimensional structure of the psychological well-being. The three factor solutionwas extracted, so the rest of study was conducted with three dimensionalpsychological model. Analysis showed that psychological well-being is a significantpredictor of subjective well-being, anxiety and subjective assessment of physicalhealth and material state. The optimism, pessimism, depressive personality and ageare the significant predictors of psychological well-being.
Ringienė, Laura. "Hibridinis neuroninis tinklas daugiamačiams duomenims vizualizuoti". Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2014. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2014~D_20140912_140105-52586.
Pełny tekst źródłaThe area of research is data mining based on multidimensional data visual analysis. This allows researcher to participate in the process of data analysis directly, to understand the complex data better and to make the best decisions. The objective of the dissertation is to create a method for making a multidimensional data projection on the plane such that the researcher could see and assess the intergroup similarities and differences of multidimensional points. In order to achieve the target, a new hybrid neural network is proposed and investigated. This neural network integrates the ideas both of the radial basis function neural network and that of a multilayer perceptron, which has the properties of a ''bottleneck'' neural network. The new network is used for the visual analysis of multidimensional data in such a way that the output values of the neurons of the last hidden layer are the two-dimensional or three-dimensional projections of the multidimensional data, when the multidimensional data is given to the network. A peculiarity of the network is that the visualization results on the plane reflect the general structure of the data (clusters, proximity between clusters, intergroup similarities of points) rather than the location of multidimensional points.
Seneviratne, Vishwa. "Design and Rapid-prototyping of Multidimensional-DSP Beamformers Using the ROACH-2 FPGA Platform". University of Akron / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=akron1488149940846702.
Pełny tekst źródłaAmaral, Carlos Eduardo Menezes. "Rede de atenÃÃo em saÃde mental no municÃpio de Fortaleza: uma anÃlise multidimensional na perspectiva de profissionais de diferentes dispositivos". Universidade Federal do CearÃ, 2013. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=10552.
Pełny tekst źródłaThis work aimed to comprehend the mental health care network in the city of Fortaleza, from the perspective of workers from different services, using aqualitative hermeneutic approach. We developed conceptual-analytical model for networks, with five dimensions: 1) minimum units; 2) connectivity; 3) integration; 4) normativities; 5) subjectivity. The research included three health services: a primary care center (CSF), a psychosocial care center (CAPS) and a psychiatric hospital (HSMM), in which we performed free observation and 21 semi-structured interviews with professionals. As results, we found different concepts of care in each service, as well as diverse internal activities flows, and entrance, discharge and referral criteria. The connections between services included six varieties: referrals, counter-reference, phone contact, manager meeting, active search and matrix support. We also mapped the interaction with other health services, and services outside the health sector, cases in which we discovered âuse of spaceâ and âpartnershipâ as new types of connections. Also, the workers support the complementarity between the services researched, although CAPS argues for the transient nature of such relation, while HSMM believes in its permanence. The complementarity between prevention, health promotion and health recovery was also supported, although only secondary prevention and health recovery actions were identified by the workers. We also found incongruence between CAPSâs âintervention objectâ, defined by a broad specter of health and social needs of people with mental disorders/psychic suffering, and HSMMâs definition, limited to crisis and mental disorders itself. Furthermore, we stress as part of the subjectivity dimension the types of patient rapport developed in each service, as well as the political action toward the Psychiatric Reform from CAPSÂs professionals. We conclude that our conceptual-analytical model allowed us to indicate several subtle aspects of the mental health care network of the city of Fortaleza, widening the comprehension of such network.
Tillemans, Stephen. "Development of an instrument for data collection in a multidimensional scaling study of personal Web usage in the South African workplace". Thesis, Stellenbosch : Stellenbosch University, 2011. http://hdl.handle.net/10019.1/21646.
Pełny tekst źródłaIn a relatively very short period the Internet has grown from being virtually unknown to becoming an essential business tool. Together with its many benefits, the Internet has unfortunately brought with it several new organisational challenges. One of these challenges is how to manage personal Web usage (PWU) in the workplace effectively. Although many managers see PWU as a form of workplace deviance, many researchers have pointed out its potential benefits such as learning, time-saving, employee well-being and a source of ideas. To help organisations manage PWU in the workplace more effectively, this research realised the need for a typology of PWU behaviours in the South African workplace. Multidimensional scaling (MDS) was identified as an objective method of creating such a typology. The objective of this research was therefore to develop an instrument to gather data for a multidimensional scaling study of PWU behaviours in the South African workplace. A questionnaire was designed that consists of three distinct sections. The first section contains seven pre-coded demographics questions that correspond with specific demographic variables, proven to have a relationship with PWU. The second section of the questionnaire is designed to gather dissimilarity data for input into an MDS algorithm. To begin with, 25 Web usage behaviours of South Africans were identified using Google Ad Planner. After weighing up various options of comparing the Web usage behaviours, the pairwise comparison method was selected. Ross sequencing was used to reduce positioning and timing effects. To reduce the number of judgements per participant, the 300 required judgments are split six ways, resulting in 50 judgements per participant. The last section of the questionnaire is designed to gather data to assist with interpreting the dimensions of the MDS configuration. Eight benefits and risks of PWU were identified. These are combined into a matrix together with the 25 Web usage behaviours. The data from this section will allow future research to use linear regression to discover the relationship between the Web usage behaviours (the objects), and the benefits and risks of PWU (the variables). It is believed that this design offers a fair compromise between the time and effort required of participants and the quality and integrity of the acquired data.
Medvedev, Viktor. "Tiesioginio sklidimo neuroninių tinklų taikymo daugiamačiams duomenims vizualizuoti tyrimai". Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2008. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2008~D_20080204_162347-54385.
Pełny tekst źródłaThe research area of this work is the analysis of multidimensional data and the ways of improving apprehension of the data. Data apprehension is rather a complicated problem especially if the data refer to a complex object or phenomenon described by many parameters. The research object of the dissertation is artificial neural networks for multidimensional data projection. General topics that are related with this object: multidimensional data visualization; dimensionality reduction algorithms; errors of projecting data; the projection of the new data; strategies for retraining the neural network that visualizes multidimensional data; optimization of control parameters of the neural network for multidimensional data projection; parallel computing. The key aim of the work is to develop and improve methods how to efficiently minimize visualization errors of multidimensional data by using artificial neural networks. The results of the research are applied in solving some problems in practice. Human physiological data that describe the human functional state have been investigated.
Sun, Wen. "A study of interacting stochastic networks : large scale, long time behavior and fluctuations, with applications in communication networks and protein polymerization". Thesis, Sorbonne université, 2018. http://www.theses.fr/2018SORUS075.
Pełny tekst źródłaThis PhD document is devoted to the analyses of large stochastic networks used to study mathematical models in communication networks and in biology. The first part consists of the analysis of three models used to evaluate the efficiency of duplication and placement algorithms in large distributed systems. These models are represented by large stochastic networks under different scaling regimes assumptions. In Chapter 2, the dynamic of the system can be described with the empirical measure associated to a multi-dimensional transient Markov process. We provide a detailed study of these processes on several fast time scales. Stochastic averaging principles with multiple time scales are investigated in particular. In Chapter 3 and Chapter 4, the interactions have unbounded jump sizes and occur within a limited random set of nodes. We develop a convenient mean field analysis in despite that the associated empirical measures do not have autonomous evolution equations. We also study the long time behavior of the corresponding limiting nonlinear jump diffusions. The second part analyzes two models used to study the variability in the polymerization phenomena occurring in a biological context. In Chapter 5, we investigate the polymerization and fragmentation processes with an assumption of critical nucleus size. A scaling analysis of these stochastic models show that the sharp phase transition and, especially the large variance, observed in the experiments can be explained by these models. In Chapter 6, we provide a functional central limit theorem in the classical (infinite dimensional) stochastic Becker-Döring model
PECCI, ANGELO. "Geoinformatic methodologies and quantitative tools for detecting hotspots and for multicriteria ranking and prioritization: application on biodiversity monitoring and conservation". Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2010. http://hdl.handle.net/2108/1341.
Pełny tekst źródłaWho has the responsibility to manage a conservation zone, not only must be aware of environmental problems but should have at his disposal updated databases and appropriate methodological instruments to examine carefully each individual case. In effect he has to arrange, in advance, the necessary steps to withstand the foreseeable variations in the trends of human pressure on conservation zones. The essential objective of this Thesis is methodological that is to compare different multivariate statistical methods useful for environmental hotspot detection and for environmental prioritization and ranking. The general environmental goal is the conservation of the biodiversity patrimony. The individuation, through multidimensional statistical tools, of habitats having top ecological priority, is only the first basic step to accomplish this aim. Ecological information integrated in the human context is an essential further step to make environmental evaluations and to plan correct conservation actions. A wide series of data and information has been necessary to accomplish environmental management tasks. Ecological data are provided by the Italian Ministry of the Environment and they refer to the Map of Italian Nature Project database. The demographic data derives from the Italian Institute of Statistics (ISTAT). The data utilized regards two Italian areas: Baganza Valley and Oltrepò Pavese and Ligurian-Emilian Apennine. The analysis has been carried out at two different spatial/scale levels: ecological-naturalistic (habitat level) and administrative (Commune level). Correspondingly, the main obtained results are: 1. Habitat level: comparing two ranking and prioritization methods, Ideal Vector and Salience, through important ecological metrics like Ecological Value (E.V.) and Ecological Sensitivity (E.S.), gives results not directly comparable. Being not based on a ranking process, Ideal Vector method seems to be used preferentially in landscapes characterized by high spatial heterogeneity. On the contrary, Salience method is probably to be preferred in ecological landscapes characterized by a low degree of heterogeneity in terms of not large differences concerning habitat E.V. and E.S.. 2. Commune level: Being habitat only a naturalistic partition of a given territory, it is necessary, for management decisions, to move towards the corresponding administrative units (Communes). From this point of view, the introduction of demography is an essential element of novelty in environmental analysis. In effect, demographic analysis makes the goal at point 1 more realistic introducing other dimensions (actual human pressure and its trend) which allows the individuation of environmentally fragile areas. Furthermore this approach individuates clearly the environmental responsibility of each administrative body for what concerns the biodiversity conservation. In effect communes’ ranking, according to environmental/demographic features, clarify the responsibilities of each administrative body. A concrete application of this necessary and useful integration of ecological and demographic data has been developed in designing an Ecological Network (E.N.).The obtained E.N. has the novelty to be not “static” but “dynamic” that is the network planning take into account the demographic pressure trends in the individuation of the probable future fragile points.
Voillet, Valentin. "Approche intégrative du développement musculaire afin de décrire le processus de maturation en lien avec la survie néonatale". Thesis, Toulouse, INPT, 2016. http://www.theses.fr/2016INPT0067/document.
Pełny tekst źródłaOver the last decades, some omics data integration studies have been developed to participate in the detailed description of complex traits with socio-economic interests. In this context, the aim of the thesis is to combine different heterogeneous omics data to better describe and understand the last third of gestation in pigs, period influencing the piglet mortality at birth. In the thesis, we better defined the molecular and cellular basis underlying the end of gestation, with a focus on the skeletal muscle. This tissue is specially involved in the efficiency of several physiological functions, such as thermoregulation and motor functions. According to the experimental design, tissues were collected at two days of gestation (90 or 110 days of gestation) from four fetal genotypes. These genotypes consisted in two extreme breeds for mortality at birth (Meishan and Large White) and two reciprocal crosses. Through statistical and computational analyses (descriptive analyses, network inference, clustering and biological data integration), we highlighted some biological mechanisms regulating the maturation process in pigs, but also in other livestock species (cattle and sheep). Some genes and proteins were identified as being highly involved in the muscle energy metabolism. Piglets with a muscular metabolism immaturity would be associated with a higher risk of mortality at birth. A second aspect of the thesis was the imputation of missing individual row values in the multidimensional statistical method framework, such as the multiple factor analysis (MFA). In our context, MFA was particularly interesting in integrating data coming from the same individuals on different tissues (two or more). To avoid missing individual row values, we developed a method, called MI-MFA (multiple imputation - MFA), allowing the estimation of the MFA components for these missing individuals
Ganzert, Christian Carvalho. "Desenvolvimento Sistêmico, equidade e interdependência: a busca por um modelo conceitual de gestão do equilíbrio das relações entre agentes econômicos regionais". Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/96/96132/tde-21122012-102824/.
Pełny tekst źródłaThe search for a conceptual model of the regional economic agents\' relationships balance management is initially justified by the lack of methodologies that are really aligned to the Systems Thinking premises to comprehend the reality. The research aimed to obtaining a conceptual model that could indicate the characteristics which enable the understanding of the equilibrium between agents and maintenance of the relationships structure for a determined economic arrangement of any order. For that, it were used tools derived from the Social Networks Analysis and the Games Theory, oriented by a derivation of the Soft Systems Methodology as a supra methodology of research. The final result was the creation of a conceptual model which enables the management of the economic agents\' balance in a given economic network, reaching the objective of the research. It was possible by obtaining weighted measures of relevance, considering the betweenness of weighted centrality, and measures that indicate the level of stability of the relationships that make up the network structure. It was also necessary to abstract networks that are formed by multiple layers of varied natures\' relationships seeking to make this model really adhering to the assumptions of systemic thinking. It was equally necessary to adapt the tools for measuring the indicators described for the reality of the converged multiple networks. Finally, this dissertation enunciates the Conceptual Classification of the Multidimensional Networks Status.
Bergier, Jean-Yves. "Analyse et modélisation du processus de propagation des effets des actions militaires d'influence au sein d'une population cible : approche par la culture et les réseaux sociaux". Thesis, Aix-Marseille, 2018. http://www.theses.fr/2018AIXM0752/document.
Pełny tekst źródłaThe study, analysis and understanding of armed violence phenomenons in developing countries and of the effects of international military interventions aimed at resolving them is a crucial contemporary issue. These situations coincidentally present, considering the plethora and complexity of the implicated and intertwined social processes, a challenge for social computing, modeling and simulation. A challenge but also an opportunity, as the evolution of the forms of conflict, today centered on the local populations, has prompted the armies tasked with implementing stabilization missions to develop influence actions. Such operations, overall concerned with persuading the locals of the legitimacy of the operations, allow a more comprehensive approach to conflict resolution, beyond the simple use of force. Modeling some of these specific actions (PSYOPS, CIMIC, and Key Leader Engagement) is a credible project and a contribution to analysis of communication and persuasion processes in social networks by taking into account detailed and specific social and cultural factors. This research thus presents a conceptual model allowing simulation of the effects of these specific actions of influence in a realistic civilian population. We chose an agent-based approach as these lend particularly well with this type of research, allowing us to generate a group of up to 10,000 agents, composed solely of individuals for a detailed cognitive treatment, and structured as a multilayer network for representing complex sociality. Given the nature of such actions and their context of application, such a model also highlights some social mechanisms typical of armed conflict situations
D'ANGELO, SILVIA. "Latent space models for multidimensional network data". Doctoral thesis, 2019. http://hdl.handle.net/11573/1255137.
Pełny tekst źródłaHsiu-Chin, Chen. "SONMAS: A Structured Overlay Network for Multidimensional Attribute Space". 2006. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0016-1303200709325342.
Pełny tekst źródłaChen, Hsiu-Chin, i 陳秀琴. "SONMAS: A Structured Overlay Network for Multidimensional Attribute Space". Thesis, 2006. http://ndltd.ncl.edu.tw/handle/74195466551214634183.
Pełny tekst źródła國立清華大學
資訊系統與應用研究所
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This thesis introduces SONMAS (Structured Overlay Network for Multidimensional Attribute Space), a multidimensional attribute-based peer-to-peer (P2P) system. SONMAS considers applications in which peers characterized by multidimensional attributes are discovered to satisfy given range queries. Traditional P2P systems either adopt a Gnutella-like interconnection and use flooding to search for matching peers, or implement a distributed hash table (DHT) on top of a structuralized interconnection. The former suffers from excessive flooding traffic, while the latter has difficulty of supporting range queries. SONMAS avoids these problems by interconnecting the peers according to their attributes. To deal with possible attribute collisions, SONMAS uses a special concept of attribute-ID-hybrid space to map each node to a unique point in the multidimensional space. SONMAS divides the attribute-ID-hybrid space into different levels of cells and interconnect the nodes according to their memberships to the cells. SONMAS is expected to work for applications with low dimensional attributes. Simulation results confirm its scalable routing efficiency and maintenance overhead as well as good fault-tolerance and resilience.
Carletti, Marco. "Saliency-based approaches for multidimensional explainability of deep networks". Doctoral thesis, 2020. http://hdl.handle.net/11562/1016496.
Pełny tekst źródłaAlsukhni, Mohammad. "Interactive visualization of the collaborative research network". Thesis, 2012. http://hdl.handle.net/10155/207.
Pełny tekst źródłaUOIT
Cheng, Y. Z., W. P. Wang, Geyong Min i J. X. Wang. "A new approach to designing firewall based on multidimensional matrix". 2013. http://hdl.handle.net/10454/9134.
Pełny tekst źródłaFirewalls are crucial elements to enhance network security by examining the field value of every packet and decide whether to accept or discard the packet according to the firewall policy. However, the design of firewall policies, especially for enterprise networks, is complex and error-prone. This paper aims to propose an effective firewall design method to ensure the consistency, compactness and completeness of firewall rules. Specifically, we develop a new designing model, namely firewall design matrix, and the corresponding construction algorithm for mapping firewall rules to firewall design matrix. A firewall generation algorithm is proposed to generate the target firewall rules that are equivalent to the original ones while maintaining the completeness. Theoretical proof and extensive experiments on both real-world and synthetic firewalls are conducted to evaluate the performance of the proposed method. The results demonstrate that it can achieve a high compression ratio efficiently while maintaining the firewall rules conflict-free. Copyright (c) 2013 John Wiley & Sons, Ltd.