Data-dependent triangulation (DDT) based mesh-generation schemes for image representation are studied. A flexible mesh-generation framework and a highly effective mesh-generation method that employs this framework are proposed. The proposed framework is derived from frameworks proposed by Rippa and Garland and Heckbert by making a number of key modifications to facilitate the development of much more effective mesh-generation methods. As the proposed framework has several free parameters, the effects of different choices of these parameters on mesh quality (both in terms of squared error and subjectively) are studied, leading to the recommendation of a particular set of choices for these parameters. A new mesh-generation method is then introduced that employs the proposed framework with these best parameter choices. Experimental results show our proposed mesh-generation method outperforms several competing approaches, namely, the DDT-based incremental scheme proposed by Garland and Heckbert, the COMPRESS scheme proposed by Rippa, and the adaptive thinning scheme proposed by Demaret and Iske. More specifically, in terms of PSNR, our proposed method was found to outperform these three schemes by median margins of 4.1 dB, 10.76 dB, and 0.83 dB, respectively. The subjective qualities of reconstructed images were also found to be correspondingly better. In terms of computational cost, our proposed method was found to be comparable to the schemes proposed by Garland and Heckbert and Rippa. Moreover, our proposed method requires only about 5 to 10% of the time of the scheme proposed by Demaret and Iske. In terms of memory cost, our proposed method was shown to require essentially same amount of memory as the schemes proposed by Garland and Heckbert and Rippa, and orders of magnitude (33 to 800 times) less memory than the scheme proposed by Demaret and Iske. / Graduate

Tato práce zkoumá vhodnost a požadavky návrhu simulací pro simulátor NS-3 pro případ bezdrátových sítí používaných v měřící infrastruktuře společnosti Kamstrup. V práci je popsán simulátor NS-3 a je vytvořena základní implementace dvou protokolů. Wireless M-Bus jako příklad jednosměrného protokolu pro zařízení napájené z baterií. Simulace Wireless M-Bus je porovnána s daty naměřenými v reálném systému. NS-3 poskytuje flexibilní prostředí pro vývoj simulací různých síťových protokolů, včetně těch určených pro sítě inteligentních měřidel.

Magister Scientiae - MSc / This thesis presents an analysis of the impact of node mobility on the quality of service for voice over Internet Protocol in wireless mesh networks. Voice traffic was simulated on such a mesh network to analyze the following performance metrics: delay, jitter, packet loss and throughput. Wireless mesh networks present interesting characteristics such as multi-hop routing, node mobility, and variable coverage that can impact on quality of service. A reasonable deployment scenario for a small organizational network, for either urban or rural deployment, is considered with three wireless mesh network scenarios, each with 26 mesh nodes. In the first scenario, all mesh nodes are stationary. In the second scenario, 10 nodes are mobile and 16 nodes are stationary. Finally, in the third scenario, all mesh nodes are mobile. The mesh nodes are simulated to move at a walking speed of 1.3m per second. The results show that node mobility can increase packet loss, delay, and jitter. However, the results also show that wireless mesh networks can provide acceptable quality of service, providing that there is little or no background traffic generated by other applications. In particular, the results demonstrate that jitter across all scenarios remains within humanacceptable tolerances. It is therefore recommended that voice over Internet Protocol implementations on wireless mesh networks with background traffic be supported by quality of service standards; otherwise they can lead to service delivery failures. On the other hand, voice-only esh networks, even with mobile nodes, offer an attractive alternative voice over Internet Protocol platform. / South Africa

Este trabalho apresenta um estudo sobre segmentação de volumes médicos e uma solução para se obter malhas poligonais de pacientes específicos para uso em simulações de cirurgia. Malhas de pacientes específicos são importantes para planejamento de intervenções cirúrgicas e permitem uma melhor visualização de condições patológicas em um paciente, coisa não obtível em malhas geradas artisticamente. Nós analisamos quais são os fatores complicantes para se obter estas malhas de um paciente específico usando apenas imagens médicas obtidas em exames padrões. Para isso, nós revisamos diversos métodos existentes para segmentação de volumes médicos. Isso nos levou a definir os problemas com as técnicas existentes, e a desenvolver um método que não sofra destes problemas, utilizando pouca interação humana e não tendo dependências de mais dados que não o exame do paciente. Nosso alvo para obter malhas especificas foram órgãos de tecido mole, que são um caso especialmente complicado da área, graças a várias questões relacionadas às imagens médicas e à anatomia humana. Atacamos esse problema aplicando modificações geométricas em malhas especiais, que deformam até atingir a forma dos órgãos que se deseja segmentar. Os resultados mostram que nossa técnica conseguiu obter malhas específicas de pacientes a partir de volumes médicos com qualidade superior a de outros algoritmos de mesma classe. Graças a simplicidade do método desenvolvido, nossos resultados são facilmente implementáveis e reproduzidos. / This work presents a study about medical-volume segmentation and a solution to generate patient-specific meshes to use in patient-specific surgery simulations. Patientspecific meshes are useful assets for surgery planning and to allow better visualization of certain pathological conditions of a given patient, which are not obtainable by artistically designed meshes. We analyzed what are the complications to obtain a patient-specific mesh using only standard medical imagery exams. For that, we reviewed several medical volume segmentation techniques. It led us to define the problems within the existing techniques and to develop a method that does not suffer from these problems, with the least possible user interaction or relying on any other data other then the patient exam. Our target for obtaining specific meshes were soft tissue organs, which are a specially complicated case due to various issues related to the medical images and human anatomy. This is accomplished by geometrical operations over special meshes that deform until achieving the shape of the desired organ. Results show that our technique was able to obtain patient-specific meshes from medical images with superior quality than algorithms of the same class. Thanks to the simplicity of the developed approach, its also easy to implement and to reproduce our obtained results.

Este trabalho apresenta um estudo sobre segmentação de volumes médicos e uma solução para se obter malhas poligonais de pacientes específicos para uso em simulações de cirurgia. Malhas de pacientes específicos são importantes para planejamento de intervenções cirúrgicas e permitem uma melhor visualização de condições patológicas em um paciente, coisa não obtível em malhas geradas artisticamente. Nós analisamos quais são os fatores complicantes para se obter estas malhas de um paciente específico usando apenas imagens médicas obtidas em exames padrões. Para isso, nós revisamos diversos métodos existentes para segmentação de volumes médicos. Isso nos levou a definir os problemas com as técnicas existentes, e a desenvolver um método que não sofra destes problemas, utilizando pouca interação humana e não tendo dependências de mais dados que não o exame do paciente. Nosso alvo para obter malhas especificas foram órgãos de tecido mole, que são um caso especialmente complicado da área, graças a várias questões relacionadas às imagens médicas e à anatomia humana. Atacamos esse problema aplicando modificações geométricas em malhas especiais, que deformam até atingir a forma dos órgãos que se deseja segmentar. Os resultados mostram que nossa técnica conseguiu obter malhas específicas de pacientes a partir de volumes médicos com qualidade superior a de outros algoritmos de mesma classe. Graças a simplicidade do método desenvolvido, nossos resultados são facilmente implementáveis e reproduzidos. / This work presents a study about medical-volume segmentation and a solution to generate patient-specific meshes to use in patient-specific surgery simulations. Patientspecific meshes are useful assets for surgery planning and to allow better visualization of certain pathological conditions of a given patient, which are not obtainable by artistically designed meshes. We analyzed what are the complications to obtain a patient-specific mesh using only standard medical imagery exams. For that, we reviewed several medical volume segmentation techniques. It led us to define the problems within the existing techniques and to develop a method that does not suffer from these problems, with the least possible user interaction or relying on any other data other then the patient exam. Our target for obtaining specific meshes were soft tissue organs, which are a specially complicated case due to various issues related to the medical images and human anatomy. This is accomplished by geometrical operations over special meshes that deform until achieving the shape of the desired organ. Results show that our technique was able to obtain patient-specific meshes from medical images with superior quality than algorithms of the same class. Thanks to the simplicity of the developed approach, its also easy to implement and to reproduce our obtained results.

The IEEE 802.16 (WiMAX) is the promising technique to overcome some disadvantages on the Security concern of the widespread IEEE 802.11 standard. For providing high speed wide area broadband wireless access, WiMAX is an emerging wireless technology for creating multi-hop Mesh network. Based on the wired backbone wireless Mesh networks serve to get over present dependencies of wireless system. Wireless operates on Physical later and MAC layer in the air interface to provide fixed and Mobile Broadband Wireless Access (BWA) in broad range of frequencies. Due to the lack of Physical infrastructure of wireless networks are inherently less secure. In order to protect data exchange between the MAC layer and PHY layer WiMAX specifies a security sub-layer at the bottom of the MAC layer. The security sub-layer provides privacy with SS and BS from service hijacking. For providing authentication, data traffic privacy services and key management a PKM protocol defined by the WiMAX MAC as a sub-layer where the PKM protocol is the main protocol work in the security sub-layer. WiMAX is only a “Paper based” newly established technology based on Wi-Fi system then it is tough to find out its security holes in all the way. Keeping all the fact in mind the objectives of the thesis are to analyze the WiMAX security architecture security keys (AK, KEK and HMAC) are used for authorization, authentication and key management and TEK is for secure data transmission, possible security vulnerabilities, threats and risks are classified according to different layer with 802.16 std Mesh network. In addition, vulnerabilities comparison between IEEE 802.11 and 802.16 std has been pointed out in details, as well as security improvements and possible solutions has been proposed to protect WiMAX attacks.

MicroRNAs (miRNAs) são pequenos RNAs não codificadores de proteínas que atuam principalmente como silenciadores pós-transcricionais, inibindo a tradução de RNAs mensageiros. Evidências crescentes revelam que tais moléculas desempenham papéis críticos em muitos processos biológicos importantes. Uma vez que não existem anotações de termos de miRNAs na Gene Ontology (GO), tampouco um banco de dados de referência com anotações funcionais dos mesmos, o cálculo da medida de similaridade entre miRNAs de forma direta não possui um padrão estabelecido. Por outro lado, a existência de bancos de dados de genes-alvo de miRNAs, como o TarBase, e bases de dados contendo informações sobre associações de miRNAs e doenças humanas, como o HMDD, nos permite inferir a similaridade funcional dos miRNAs indiretamente, por meio da análise de seus genes-alvo na GO ou entre suas doenças relacionadas na ontologia MeSH. Além disso, de acordo com a estrutura da ontologia de miRNAs OMIT, um miRNA também pode ser anotado com outras informações, tais como a sua natureza de atuação como oncogênico ou supressor de tumor, o organismo em que se encontra, o tipo de experimento em que foi encontrado, suas associações com doenças, genes-alvo, proteínas e eventos patológicos. Dessa forma, a similaridade entre miRNAs pode ser inferida com base na combinação de um conjunto de informações contidas nas respectivas anotações, de forma que possamos obter um aproveitamento de várias informações existentes, definindo assim um cálculo de similaridade funcional composta. Assim, neste trabalho, propomos a criação e aplicação de um método chamado CFSim, aplicado sobre a OMIT e que utiliza a ontologia de doenças, MeSH, e a ontologia de genes, GO, para calcular a similaridade entre dois miRNAs, juntamente com informações contidas em suas anotações. A validação de nosso método foi realizada por meio da comparação com a similaridade funcional inferida considerando diferentes famílias de miRNAs e os resultados obtidos mostraram que nosso método é eficiente, no sentido de que a similaridade entre miRNAs pertencentes à mesma família é maior que a similaridade entre miRNAs de famílias distintas. Ainda, em comparação com os métodos de similaridade funcional já existentes na literatura, o CFSim obteve melhores resultados. Adicionalmente, para tornarmos viável a utilização do método proposto, foi projetado e implementado um ambiente contendo a infraestrutura necessária para que pesquisadores possam incluir dados obtidos de novas descobertas e consultar as informações sobre um determinado miRNA, assim como calcular a similaridade entre dois miRNAs, baseada no método proposto. / MicroRNAs (miRNAs) are small non-coding RNA that mainly negatively regulate gene expression by inhibiting translation of target RNAs. Increasing evidences show that such molecules play critical roles in many important biological processes. Since there are no terms of miRNAs annotations in Gene Ontology (GO), nor a database with microRNAs functional annotations, directly calculating the functional similarity between miRNAs does not have an estabilished pattern aproach. However, the existence of miRNAs target genes database, such as TarBase, and a miRNAs-disease associations database, such as HMDD, allow us to indirectly infer functional similarity of miRNAs through the analysis of their target genes in GO or between their related diseases in MeSH. Moreover, according to the structure of the ontology of miRNAs OMIT, a miRNA can also be annotated with other information, such as if it acts as an oncogene or a tumor suppressor, the organism that it belongs, the experiment in which it was found, its associations with diseases, target genes, proteins and pathological events. Thus, miRNAs similarity can be inferred based on the combination of a broad set of information contained in their annotations, indeed, we can use all available information defining the calculation of a composed functional similarity. In this study, we propose the creation and application of CFSim method applied to the OMIT using the diseases ontology, MeSH, and gene ontology, GO, to compute miRNAs similarity based on different information in their annotations. We validated our method by comparing with functional similarity inferred by miRNA families and the results showed that our method is efficient in sense that the functional similarity between miRNAs in the same family was greater compared to other miRNAs from distinct families. Furthermore, in comparison with existing methods of functional similarity in the literature until the present day, the CFSim showed better results. Finally, to make feasible the use of the proposed method, an environment was designed and implemented, containing the necessary infrastructure so that researchers can include data from new discoveries and see information about a particular miRNA, as well as calculate the similarity between two miRNAs, based in the proposed method.

This thesis presents various approaches for race track surface reconstruction based on different algorithms designated for these purposes. In addition to surface reconstruction it also offers proposals for polygon mesh filling in the unscanned areas around the track.

Meshes based on triangulation (2D) or tetrahedralization (3D) are widely used in applications such as computer graphics, interpolation, surveying, and terrain modelling. Although the most important use is in numerical methods for the solution of partial differential equations. This solution is use for simulation of complex physical processes, which are described by this equations. The main topic of this thesis is mash generation.

The purpose of this thesis is to solve unsteady two-dimensional compressible Navier-Stokes equations for a moving mesh using implicit explicit (IMEX) Runge- Kutta scheme. The moving mesh is implemented in the equations using Arbitrary Lagrangian Eulerian (ALE) formulation. The inviscid part of the equation is explicitly solved using second-order Godunov method, whereas the viscous part is calculated implicitly. We simulate subsonic compressible flow over static NACA-0012 airfoil at different angle of attacks. Finally, the moving mesh is examined via oscillating the airfoil between angle of attack = 0 and = 20 harmonically. It is observed that the numerical solution matches the experimental and numerical results in the literature to within 20%.