This thesis puts forth a process for ontology driven distributed simulation through a case study. Ontology is regarded as a domain model, including objects, attributes, methods and object relations. The case study involves trajectory simulation. A trajectory simulation is a piece of software that calculates the flight path and other parameters of a munition, such as its orientation and angular rates, from launch to impact. Formal specification of trajectory simulation domain is available as a domain model in the form of an ontology, called Trajectory Simulation ONTology (TSONT). Ontology driven federation development process proposed in this thesis is executed in three steps. The first step is to analyze the TSONT and to create instances of individuals guided by the requirements of the targeted simulation application, called Puma Trajectory Simulation. Puma is the simulation of a ficticious air-to-ground guided bomb. The second step is to create the High Level Architecture(HLA) Federation Object Model (FOM) using Puma Simulation individuals. FOM will include the required object and interaction definitions to enable information exchange among federation members, including the Puma federate and the Exercise Manager federate. Transformation from the ontology to FOM is realized in two ways: manually, and by using a tool called OWL2OMT. The third step is to implement the Trajectory Simulation federation based on the constructed FOM. Thus, the applicability of developing HLA federates and the federation under the guidance of ontology is demonstrated.

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Component base software development methodology is the most important technological revolution of software industry in the past few years. Straightly to push forward software industry from taking handiwork as principle thing, gradually to get into automation assisting tool procreation¡¦s automation industry. Component base software development technology give way to business information system easy fabricate flexibly. System developer may assemble software components depending on user requirement. We can increase or subtract system components to modulate a section of system capability any time. But do not influence whole system, only contained a part of system components. This thesis brings up an object-process methodology to apply develop a business distributed information system. Using object-process methodology to find business objects from business process. We can divide system analysis into two parts and eight steps, to analyze the user requirement than to design information system to guide stable software objects and system framework. Through object-process business system helps we establish the model of the complex business system, mapping the real world activity or the abstract conception into system model. We can analyze and design distributed objects efficiently for distributed operation system environment needed. Proceeding to the next step, to transform software model and to seal up distributed component object module (DCOM), than to put DCOM into system application layer. Let the business information system flexibly and ample fitting in user requirement.

ITC/USA 2013 Conference Proceedings / The Forty-Ninth Annual International Telemetering Conference and Technical Exhibition / October 21-24, 2013 / Bally's Hotel & Convention Center, Las Vegas, NV / PMRF provides a volume of space, which may include any combination of below-surface, surface, above-surface environments to safely test, gather data, and monitor in real time, the performance of systems being developed. This paper discusses how TENA implementation in range instrumentation; including radar, optics, video, GPS, and telemetry systems; will enhance data acquisition and distribution of systems under test. While details of this implementation plan are specific to PMRF, this approach can serve as a blueprint for TENA implementation at other ranges throughout the DoD.

This paper discusses the Department of Defense (DoD) direction to provide an environment for realistic Test & Evaluation in a Joint operational context and enhance interoperability and reuse with other test ranges and facilities though the use of the Test and Training Enabling Architecture (TENA) and connectivity to the Joint Mission Environment Test Capability (JMETC) joint test infrastructure. The intent of the "TENA-Enabled Range Roadmap" is to describe how TENA would be incorporated into PMRF's range infrastructure through both near-term upgrades and long-term system replacement. While details of this implementation plan are specific to PMRF, this roadmap can serve as a blueprint for TENA implementation at other ranges throughout the DoD.

An intelligent robot must be able to perceive and reason robustly about its world in terms of objects, among other foundational concepts. The robot can draw on rich data for object perception from continuous sensory input, in contrast to the usual formulation that focuses on objects in isolated still images. Additionally, the robot needs multiple object representations to deal with different tasks and/or different classes of objects. We propose the Object Semantic Hierarchy (OSH), which consists of multiple representations with different ontologies. The OSH factors the problems of object perception so that intermediate states of knowledge about an object have natural representations, with relatively easy transitions from less structured to more structured representations. Each layer in the hierarchy builds an explanation of the sensory input stream, in terms of a stochastic model consisting of a deterministic model and an unexplained "noise" term. Each layer is constructed by identifying new invariants from the previous layer. In the final model, the scene is explained in terms of constant background and object models, and low-dimensional dynamic poses of the observer and objects. The OSH contains two types of layers: the Object Layers and the Model Layers. The Object Layers describe how the static background and each foreground object are individuated, and the Model Layers describe how the model for the static background or each foreground object evolves from less structured to more structured representations. Each object or background model contains the following layers: (1) 2D object in 2D space (2D2D): a set of constant 2D object views, and the time-variant 2D object poses, (2) 2D object in 3D space (2D3D): a collection of constant 2D components, with their individual time-variant 3D poses, and (3) 3D object in 3D space (3D3D): the same collection of constant 2D components but with invariant relations among their 3D poses, and the time-variant 3D pose of the object as a whole. In building 2D2D object models, a fundamental problem is to segment out foreground objects in the pixel-level sensory input from the background environment, where motion information is an important cue to perform the segmentation. Traditional approaches for moving object segmentation usually appeal to motion analysis on pure image information without exploiting the robot's motor signals. We observe, however, that the background motion (from the robot's egocentric view) has stronger correlation to the robot's motor signals than the motion of foreground objects. Based on this observation, we propose a novel approach to segmenting moving objects by learning homography and fundamental matrices from motor signals. In building 2D3D and 3D3D object models, estimating camera motion parameters plays a key role. We propose a novel method for camera motion estimation that takes advantage of both planar features and point features and fuses constraints from both homography and essential matrices in a single probabilistic framework. Using planar features greatly improves estimation accuracy over using point features only, and with the help of point features, the solution ambiguity from a planar feature is resolved. Compared to the two classic approaches that apply the constraint of either homography or essential matrix, the proposed method gives more accurate estimation results and avoids the drawbacks of the two approaches. / text

Segmentation of WWW pages or page division on di erent semantics blocks is one of the disciplines of information extraction. Master's thesis deals with Vision-based Page Segmentation - VIPS method, which consist in division based on visual properties of page's elements. The method is given in context of other prominent segmentation procedures. In this work, the key steps, that this method consist of are shown and described on examples. For VIPS method it is necessary to cooperate with WWW pages rendering engine in order to obtain Document Object Model of page. The paper presents and describes four most important engines for Java programming language. The output of this work is implementation of VIPS algorithm just in Java language with usage of CSSBox core. The original algorithm implementation from Microsoft's labs is presented. The di erent development stages of library implementing VIPS method and my approach to it's solution are described. In the end of this work the work's outcome is demonstrated on several pages segmentation.

Segmentation of web pages is one of the disciplines of information extraction. It allows to divide the page into different semantic blocks. This thesis deals with the segmentation as such and also with the implementation of the segmentation method. In this paper, we describe various examples of methods such as VIPS, DOM PS etc. There is a theoretical description of the chosen method and also the FITLayout Framework, which will be extended by this method. The implementation of the chosen method is also described in detail. The implementation description is focused on describing the different problems we had to solve. We also describe the testing that helped to reveal some weaknesses. The conclusion is a summary of the results and possible ideas for extending this work.

Thesis (MScEng (Civil Engineering))--University of Stellenbosch, 2011. / ENGLISH ABSTRACT: Waterborne sewage system design and expansion objectives are often focused on minimising initial investment while increasing system capacity and meeting hydraulic requirements. Although these objectives make good sense in the short term, the solutions obtained might not represent the optimal cost-effective solution to the complete useful life of the system. Maintenance and operation of any system can have a significant impact on the life-cycle cost. The costing process needs to be better understood, which include maintenance and operation criteria in the design of a sewer system. Together with increasing public awareness regarding global warming and environmental degradation, environmental impact, or carbon cost, is also an important factor in decisionmaking for municipal authorities. This results in a multiplicity of different objectives, which can complicate the decisions faced by waterborne sewage utilities. Human settlement and migration is seen as the starting point of expansion problems. An investigation was conducted into the current growth prediction models for municipal areas in order to determine their impact on future planning and to assess similarities between the models available. This information was used as a platform to develop a new method incorporating indirect costs into models for planning waterborne sewage systems. The need to balance competing objectives such as minimum cost, optimal reliability, and minimum environmental impact was identified. Different models were developed to define the necessary criteria, thus minimising initial investment, operating cost and environmental impact, while meeting hydraulic constraints. A non-dominated sorting genetic algorithm (NSGA-II) was applied to certain waterborne sewage system (WSS) scenarios that simulated the evolutionary processes of genetic selection, crossover, and mutation to find a number of suitable solutions that balance all of the given objectives. Stakeholders could in future apply optimisation results derived in this thesis in the decision making process to find a solution that best fits their concerns and priorities. Different models for each of the above-mentioned objectives were installed into a multi-objective NSGA and applied to a hypothetical baseline sewer system problem. The results show that the triple-objective optimisation approach supplies the best solution to the problem. This approach is currently not applied in practice due to its inherent complexities. However, in the future this approach may become the norm. / AFRIKAANSE OPSOMMING: Spoelafvoering rioolstelsel ontwerp en uitbreiding doelwitte is dikwels gefokus op die vermindering van aanvanklike belegging, terwyl dit die verhoging van stelsel kapasiteit insluit en ook voldoen aan hidrouliese vereistes. Alhoewel hierdie doelwitte goeie sin maak in die kort termyn, sal die oplossings verkry dikwels nie die optimale koste-effektiewe oplossing van die volledige nuttige lewensduur van die stelsel verteenwoordig nie. Bedryf en instandhouding van 'n stelsel kan 'n beduidende impak op die lewensiklus-koste hê, en die kostebepalings proses moet beter verstaan word en die nodige kriteria ingesluit word in die ontwerp van 'n rioolstelsel. Saam met 'n toenemende openbare bewustheid oor aardverwarming en die agteruitgang van die omgewing, is omgewingsimpak, of koolstof koste, 'n belangrike faktor in besluitneming vir munisipale owerhede. As gevolg hiervan, kan die diversiteit van die verskillende doelwitte die besluite wat munisipale besluitnemers in die gesig staar verder bemoeilik. Menslike vestiging en migrasie is gesien as die beginpunt van die uitbreiding probleem. 'n Ondersoek na die huidige groeivoorspelling modelle vir munisipale gebiede is van stapel gestuur om hul impak op die toekomstige beplanning te bepaal, en ook om die ooreenkomstes tussen die modelle wat beskikbaar is te asesseer. Hierdie inligting is gebruik as 'n platform om ‘n nuwe metode te ontwikkel wat indirekte kostes inkorporeer in die modelle vir die beplanning van spoelafvoer rioolstelsels. Die behoefte is geïdentifiseer om meedingende doelwitte soos minimale aanvanklike koste, optimale betroubaarheid en minimum invloed op die omgewing te balanseer. Verskillende modelle is ontwikkel om die bogenoemde kriteria te definiëer, in die strewe na die minimaliseering van aanvanklike belegging, bedryfskoste en omgewingsimpak, terwyl onderhewig aan hidrouliese beperkinge. ‘n Nie-gedomineerde sorteering genetiese algoritme (NSGA-II), istoegepas op sekere spoelafvoering rioolstelsel moontlikhede wat gesimuleerde evolusionêre prosesse van genetiese seleksie, oorplasing, en mutasie gebruik om 'n aantal gepaste oplossings te balanseer met inagname van al die gegewe doelwitte. Belanghebbendes kan in die toekoms gebruik maak van die resultate afgelei in hierdie tesis in besluitnemings prosesse om die bes-passende oplossing vir hul bekommernisse en prioriteite te vind. Verskillende modelle vir elk van die bogenoemde doelwitte is geïnstalleer in die nie-gedomineerde sorteering genetiese algoritme en toegepas op 'n hipotetiese basislyn rioolstelsel probleem. Die resultate toon dat die drie-objektief optimalisering benadering die beste oplossing vir die probleem lewer. Hierdie benadering word tans nie in die praktyk toegepas nie, as gevolg van sy inherente kompleksiteite. Desnieteenstaande, kan hierdie benadering in die toekoms die norm word.

A abordagem de linha de produtos de software oferece benefícios ao desenvolvimento de software como economia, qualidade e desenvolvimento rápido, pois se baseia em reuso de arquitetura de software mais planejado e direcionado a um domínio específico. Neste contexto, o gerenciamento da variabilidade é uma questão chave e desafiadora, já que esta atividade auxilia a identificação, projeto e implementação dos novos produtos derivados da linha de produtos de software. O objetivo deste trabalho é definir um processo de gerenciamento de variabilidade de linha de produtos de software. Este processo, denominado GVLPS, identifica a variabilidade, extraindo as variantes a partir de diagramas de casos de uso e modelando-as através de features, especifica a variabilidade identificada e utiliza como suporte, na criação de variantes, um mecanismo de variabilidade baseado em modelos de objetos adaptáveis e em reflexão. A aplicação do processo é realizada através de um estudo de caso sobre o software de um veículo espacial hipotético, o Lançador de Satélites Brasileiro (LSB). / The Software Product Line approach offers benefits such as savings, large-scale productivity and increased product quality to the software development because it is based on software architecture reuse which is more planned and aimed to a specific domain. The management of variability is a key and challenging issue, since this activity helps identifying, designing and implementing new products derived from software products line. This work defines a process for the variability management of software product line, called GVLPS. After modeling the variability, extracting the variants from use case diagrams and features, the next step is to specify the variability that was identified. Finally, the proposed process uses a variability mechanism based on adaptive object model and reflection as support in the creation of variants. The proposed process uses as case study the software system of a hypothetic space vehicle, the Brazilian Satellites Launcher (LSB).