Silicon Photonics Integrated Circuits for Flexible Optical Systems

This dissertation deals with the design and the characterization of novel reconfigurable silicon-on-insulator (SOI) devices to filter and route optical signals on-chip. Design is carried out through circuit simulations based on basic circuit elements (Building Blocks, BBs) in order to prove the feasibility of an approach allowing to move the design of Photonic Integrated Circuits (PICs) toward the system level. CMOS compatibility and large integration scale make SOI one of the most promising material to realize PICs. The concepts of generic foundry and BB based circuit simulations for the design are emerging as a solution to reduce the costs and increase the circuit complexity. To validate the BB based approach, the development of some of the most important BBs is performed first. A novel tunable coupler is also presented and it is demonstrated to be a valuable alternative to the known solutions. Two novel multi-element PICs are then analysed: a narrow linewidth single mode resonator and a passband filter with widely tunable bandwidth. Extensive circuit simulations are carried out to determine their performance, taking into account fabrication tolerances. The first PIC is based on two Grating Assisted Couplers in a ring resonator (RR) configuration. It is shown that a trade-off between performance, resonance bandwidth and device footprint has to be performed. The device could be employed to realize reconfigurable add-drop de/multiplexers. Sensitivity with respect to fabrication tolerances and spurious effects is however observed. The second PIC is based on an unbalanced Mach-Zehnder interferometer loaded with two RRs. Overall good performance and robustness to fabrication tolerances and nonlinear effects have confirmed its applicability for the realization of flexible optical systems. Simulated and measured devices behaviour is shown to be in agreement thus demonstrating the viability of a BB based approach to the design of complex PICs.

The contribution of the Finite Volume Point Dilution Method to the determination of solute mass flux in an alluvial aquifer.

Groundwater represents one of the most important resources of the world and it is essential to prevent its pollution and to consider remediation intervention in case of contamination. According to the scientific community the characterization and the management of the contaminated sites have to be performed in terms of contaminant fluxes and considering their spatial and temporal evolution. One of the most suitable approach to determine the spatial distribution of pollutant and to quantify contaminant fluxes in groundwater is using control panels. The determination of contaminant mass flux, requires measurement of contaminant concentration in the moving phase (water) and velocity/flux of the groundwater. In this Master Thesis a new solute flux mass measurement approach, based on an integrated control panel type methodology combined with the Finite Volume Point Dilution Method (FVPDM), for the monitoring of transient groundwater fluxes, is proposed. Moreover a new adsorption passive sampler, which allow to capture the variation of solute concentration with time, is designed. The present work contributes to the development of this approach on three key points. First, the ability of the FVPDM to monitor transient groundwater fluxes was verified during a step drawdown test at the experimental site of Hermalle Sous Argentau (Belgium). The results showed that this method can be used, with optimal results, to follow transient groundwater fluxes. Moreover, it resulted that performing FVPDM, in several piezometers, during a pumping test allows to determine the different flow rates and flow regimes that can occurs in the various parts of an aquifer. The second field test aiming to determine the representativity of a control panel for measuring mass flus in groundwater underlined that wrong evaluations of Darcy fluxes and discharge surfaces can determine an incorrect estimation of mass fluxes and that this technique has to be used with precaution. Thus, a detailed geological and hydrogeological characterization must be conducted, before applying this technique. Finally, the third outcome of this work concerned laboratory experiments. The test conducted on several type of adsorption material (Oasis HLB cartridge, TDS-ORGANOSORB 10 and TDS-ORGANOSORB 10-AA), in order to determine the optimum medium to dimension the passive sampler, highlighted the necessity to find a material with a reversible adsorption tendency to completely satisfy the request of the new passive sampling technique.

Recovery and Analysis of Transaction Scope from Scattered Information in Java Enterprise Applications

Java Enterprise Applications (JEAs) are large systems that integrate multiple technologies and programming languages. Transactions in JEAs simplify the development of code that deals with failure recovery and multi-user coordination by guaranteeing atomicity of sets of operations. The heterogeneous nature of JEAs, however, can obfuscate conceptual errors in the application code, and in particular can hide incorrect declarations of transaction scope. In this paper we present a technique to expose and analyze the application transaction scope in JEAs by merging and analyzing information from multiple sources. We also present several novel visualizations that aid in the analysis of transaction scope by highlighting anomalies in the specification of transactions and violations of architectural constraints. We have validated our approach on two versions of a large commercial case study.

Media reform and development in Bosnia: An interorganizational account of the Media Issues Group

This manuscript focuses on development assistance players’ efforts to cooperate, coordinate and collaborate on projects of mutual interest. I target the case of the cross-sectoral and international Media Issues Group designed to reform and develop the media sector in Bosnia and Herzegovina. I identify and categorize variables that influenced interorganizational relationships to summarize lessons learned and potentially inform similar interventions. This work suggests that cooperation, coordination and collaboration are constrained by contextual, strategic and procedural variables. Through participant narrative based on observation and interviews, this work clarifies the nuances within these three sets of variables for potential extrapolation to other settings. Perhaps more importantly, it provides lessons learned that can inform future international community interventions in market development activities.

Hierarchical Approach for Survivable Network Design

A central design challenge facing network planners is how to select a cost-effective network configuration that can provide uninterrupted service despite edge failures. In this paper, we study the Survivable Network Design (SND) problem, a core model underlying the design of such resilient networks that incorporates complex cost and connectivity trade-offs. Given an undirected graph with specified edge costs and (integer) connectivity requirements between pairs of nodes, the SND problem seeks the minimum cost set of edges that interconnects each node pair with at least as many edge-disjoint paths as the connectivity requirement of the nodes. We develop a hierarchical approach for solving the problem that integrates ideas from decomposition, tabu search, randomization, and optimization. The approach decomposes the SND problem into two subproblems, Backbone design and Access design, and uses an iterative multi-stage method for solving the SND problem in a hierarchical fashion. Since both subproblems are NP-hard, we develop effective optimization-based tabu search strategies that balance intensification and diversification to identify near-optimal solutions. To initiate this method, we develop two heuristic procedures that can yield good starting points. We test the combined approach on large-scale SND instances, and empirically assess the quality of the solutions vis-à-vis optimal values or lower bounds. On average, our hierarchical solution approach generates solutions within 2.7% of optimality even for very large problems (that cannot be solved using exact methods), and our results demonstrate that the performance of the method is robust for a variety of problems with different size and connectivity characteristics.

ON MARGINALIZED MULTILEVEL MODELS AND THEIR COMPUTATION

Clustered data analysis is characterized by the need to describe both systematic variation in a mean model and cluster-dependent random variation in an association model. Marginalized multilevel models embrace the robustness and interpretations of a marginal mean model, while retaining the likelihood inference capabilities and flexible dependence structures of a conditional association model. Although there has been increasing recognition of the attractiveness of marginalized multilevel models, there has been a gap in their practical application arising from a lack of readily available estimation procedures. We extend the marginalized multilevel model to allow for nonlinear functions in both the mean and association aspects. We then formulate marginal models through conditional specifications to facilitate estimation with mixed model computational solutions already in place. We illustrate this approach on a cerebrovascular deficiency crossover trial.

AGENT BASED, DISTRIBUTED CONTROL STRATEGIES AND OPTIMIZATION OF PLUG-IN ELECTRIC VEHICLES ON SMART/MICROGRID ARCHITECTURES

This thesis will present strategies for the use of plug-in electric vehicles on smart and microgrids. MATLAB is used as the design tool for all models and simulations. First, a scenario will be explored using the dispatchable loads of electric vehicles to stabilize a microgrid with a high penetration of renewable power generation. Grid components for a microgrid with 50% photovoltaic solar production will be sized through an optimization routine to maintain storage system, load, and vehicle states over a 24-hour period. The findings of this portion are that the dispatchable loads can be used to guard against unpredictable losses in renewable generation output. Second, the use of distributed control strategies for the charging of electric vehicles utilizing an agent-based approach on a smart grid will be studied. The vehicles are regarded as additional loads to a primary forecasted load and use information transfer with the grid to make their charging decisions. Three lightweight control strategies and their effects on the power grid will be presented. The findings are that the charging behavior and peak loads on the grid can be reduced through the use of distributed control strategies.

Taking an Object-Centric View on Dynamic Information with Object Flow Analysis

A large body of research analyzes the runtime execution of a system to extract abstract behavioral views. Those approaches primarily analyze control flow by tracing method execution events or they analyze object graphs of heap snapshots. However, they do not capture how objects are passed through the system at runtime. We refer to the exchange of objects as the object flow, and we claim that object flow is necessary to analyze if we are to understand the runtime of an object-oriented application. We propose and detail Object Flow Analysis, a novel dynamic analysis technique that takes this new information into account. To evaluate its usefulness, we present a visual approach that allows a developer to study classes and components in terms of how they exchange objects at runtime. We illustrate our approach on three case studies.

Enforcing Copyright Infringements Online: In Search of Balanced Private International Law Rules

Enforcement of copyright online and fighting online “piracy” is a high priority on the EU agenda. Private international law questions have recently become some of the most challenging issues in this area. Internet service providers are still uncertain how the Brussels I Regulation (Recast) provisions would apply in EU-wide copyright infringement cases and in which country they can be sued for copyright violations. Meanwhile, because of the territorial approach that still underlies EU copyright law, right holders are unable to acquire EU-wide relief for copyright infringements online. This article first discusses the recent CJEU rulings in the Pinckney and Hejduk cases and argues that the “access approach” that the Court adopted for solving jurisdiction questions could be quite reasonable if it is applied with additional legal measures at the level of substantive law, such as the targeting doctrine. Secondly, the article explores the alternatives to the currently established lex loci protectionis rule that would enable right holders to get EU-wide remedies under a single applicable law. In particular, the analysis focuses on the special applicable law rule for ubiquitous copyright infringements, as suggested by the CLIP Group, and other international proposals.

Cost-effectiveness of different strategies to monitor adults on antiretroviral treatment: a combined analysis of three mathematical models

Background: WHO's 2013 revisions to its Consolidated Guidelines on antiretroviral drugs recommend routine viral load monitoring, rather than clinical or immunological monitoring, as the preferred monitoring approach on the basis of clinical evidence. However, HIV programmes in resource-limited settings require guidance on the most cost-effective use of resources in view of other competing priorities such as expansion of antiretroviral therapy coverage. We assessed the cost-effectiveness of alternative patient monitoring strategies. Methods: We evaluated a range of monitoring strategies, including clinical, CD4 cell count, and viral load monitoring, alone and together, at different frequencies and with different criteria for switching to second-line therapies. We used three independently constructed and validated models simultaneously. We estimated costs on the basis of resource use projected in the models and associated unit costs; we quantified impact as disability-adjusted life years (DALYs) averted. We compared alternatives using incremental cost-effectiveness analysis. Findings: All models show that clinical monitoring delivers significant benefit compared with a hypothetical baseline scenario with no monitoring or switching. Regular CD4 cell count monitoring confers a benefit over clinical monitoring alone, at an incremental cost that makes it affordable in more settings than viral load monitoring, which is currently more expensive. Viral load monitoring without CD4 cell count every 6—12 months provides the greatest reductions in morbidity and mortality, but incurs a high cost per DALY averted, resulting in lost opportunities to generate health gains if implemented instead of increasing antiretroviral therapy coverage or expanding antiretroviral therapy eligibility. Interpretation: The priority for HIV programmes should be to expand antiretroviral therapy coverage, firstly at CD4 cell count lower than 350 cells per μL, and then at a CD4 cell count lower than 500 cells per μL, using lower-cost clinical or CD4 monitoring. At current costs, viral load monitoring should be considered only after high antiretroviral therapy coverage has been achieved. Point-of-care technologies and other factors reducing costs might make viral load monitoring more affordable in future. Funding: Bill & Melinda Gates Foundation, WHO.

Relations among fluid intelligence, sensory discrimination and working memory in middle to late childhood – A latent variable approach

Two factors that have been suggested as key in explaining individual differences in fluid intelligence are working memory and sensory discrimination ability. A latent variable approach was used to explore the relative contributions of these two variables to individual differences in fluid intelligence in middle to late childhood. A sample of 263 children aged 7–12 years was examined. Correlational analyses showed that general discrimination ability (GDA)and working memory (WM) were related to each other and to fluid intelligence. Structural equation modeling showed that within both younger and older age groups and the sample as a whole, the relation between GDA and fluid intelligence could be accounted for by WM. While WM was able to predict variance in fluid intelligence above and beyond GDA, GDA was not able to explain significant amounts of variance in fluid intelligence, either in the whole sample or within the younger or older age group. We concluded that compared to GDA, WM should be considered the better predictor of individual differences in fluid intelligence in childhood. WM and fluid intelligence, while not being separable in middle childhood, develop at different rates, becoming more separable with age.

Formulación de un plan de desarrollo agropecuario y forestal para una comunidad ejidal del municipio de San Fernando, Chiapas, México

El perfil socioeconómico de Chiapas es primordialmente rural, debiendo reconocerse la diversidad de sus actividades agropecuarias y forestales para generar condiciones específicas de desarrollo. Considerando lo anterior, se realizó esta investigación entre mayo de 1998 y diciembre de 1999, como un estudio de caso sobre los aspectos agropecuarios y forestales más relevantes en el ejido Villa Allende, que expresa problemas ejidales característicos de la región. El ejido cuenta con 3.300 hectáreas, 554 ejidatarios y se ubica en el municipio de San Fernando en la Región Central de Chiapas. Se estudiaron las circunstancias de los ejidatarios, conocimiento local y procesos de trabajo agrícola desde una perspectiva de planeación. A partir de ello se generó el plan de desarrollo, el cual es el primero expuesto en el municipio de San Fernando que se dirige al sector ejidal. Su propósito es plasmar una propuesta general en materia agropecuaria y forestal que pueda ser base para la concertación y que permita vislumbrar opciones dirigidas a mejorar la calidad de vida de los habitantes del ejido Villa Allende. Se postulan las siguientes políticas de desarrollo: 1. Fortalecimiento de la producción y la autosuficiencia alimentaria. 2. Impulso al crecimiento económico. 3. Dotación de infraestructura básica. 4. Reordenamiento agropecuario y forestal con criterios sociales, ecológicos y económicos. 5. Promoción de la salud. Con base en las políticas, se enuncian objetivos programas y subprogramas o proyectos.

Formulación de un plan de desarrollo agropecuario y forestal para una comunidad ejidal del municipio de San Fernando, Chiapas, México

El perfil socioeconómico de Chiapas es primordialmente rural, debiendo reconocerse la diversidad de sus actividades agropecuarias y forestales para generar condiciones específicas de desarrollo. Considerando lo anterior, se realizó esta investigación entre mayo de 1998 y diciembre de 1999, como un estudio de caso sobre los aspectos agropecuarios y forestales más relevantes en el ejido Villa Allende, que expresa problemas ejidales característicos de la región. El ejido cuenta con 3.300 hectáreas, 554 ejidatarios y se ubica en el municipio de San Fernando en la Región Central de Chiapas. Se estudiaron las circunstancias de los ejidatarios, conocimiento local y procesos de trabajo agrícola desde una perspectiva de planeación. A partir de ello se generó el plan de desarrollo, el cual es el primero expuesto en el municipio de San Fernando que se dirige al sector ejidal. Su propósito es plasmar una propuesta general en materia agropecuaria y forestal que pueda ser base para la concertación y que permita vislumbrar opciones dirigidas a mejorar la calidad de vida de los habitantes del ejido Villa Allende. Se postulan las siguientes políticas de desarrollo: 1. Fortalecimiento de la producción y la autosuficiencia alimentaria. 2. Impulso al crecimiento económico. 3. Dotación de infraestructura básica. 4. Reordenamiento agropecuario y forestal con criterios sociales, ecológicos y económicos. 5. Promoción de la salud. Con base en las políticas, se enuncian objetivos programas y subprogramas o proyectos.

Formulación de un plan de desarrollo agropecuario y forestal para una comunidad ejidal del municipio de San Fernando, Chiapas, México

El perfil socioeconómico de Chiapas es primordialmente rural, debiendo reconocerse la diversidad de sus actividades agropecuarias y forestales para generar condiciones específicas de desarrollo. Considerando lo anterior, se realizó esta investigación entre mayo de 1998 y diciembre de 1999, como un estudio de caso sobre los aspectos agropecuarios y forestales más relevantes en el ejido Villa Allende, que expresa problemas ejidales característicos de la región. El ejido cuenta con 3.300 hectáreas, 554 ejidatarios y se ubica en el municipio de San Fernando en la Región Central de Chiapas. Se estudiaron las circunstancias de los ejidatarios, conocimiento local y procesos de trabajo agrícola desde una perspectiva de planeación. A partir de ello se generó el plan de desarrollo, el cual es el primero expuesto en el municipio de San Fernando que se dirige al sector ejidal. Su propósito es plasmar una propuesta general en materia agropecuaria y forestal que pueda ser base para la concertación y que permita vislumbrar opciones dirigidas a mejorar la calidad de vida de los habitantes del ejido Villa Allende. Se postulan las siguientes políticas de desarrollo: 1. Fortalecimiento de la producción y la autosuficiencia alimentaria. 2. Impulso al crecimiento económico. 3. Dotación de infraestructura básica. 4. Reordenamiento agropecuario y forestal con criterios sociales, ecológicos y económicos. 5. Promoción de la salud. Con base en las políticas, se enuncian objetivos programas y subprogramas o proyectos.

Brain tissue segmentation on Diffusion Weighted Magnetic Resonance data

Introduction Diffusion weighted Imaging (DWI) techniques are able to measure, in vivo and non-invasively, the diffusivity of water molecules inside the human brain. DWI has been applied on cerebral ischemia, brain maturation, epilepsy, multiple sclerosis, etc. [1]. Nowadays, there is a very high availability of these images. DWI allows the identification of brain tissues, so its accurate segmentation is a common initial step for the referred applications. Materials and Methods We present a validation study on automated segmentation of DWI based on the Gaussian mixture and hidden Markov random field models. This methodology is widely solved with iterative conditional modes algorithm, but some studies suggest [2] that graph-cuts (GC) algorithms improve the results when initialization is not close to the final solution. We implemented a segmentation tool integrating ITK with a GC algorithm [3], and a validation software using fuzzy overlap measures [4]. Results Segmentation accuracy of each tool is tested against a gold-standard segmentation obtained from a T1 MPRAGE magnetic resonance image of the same subject, registered to the DWI space. The proposed software shows meaningful improvements by using the GC energy minimization approach on DTI and DSI (Diffusion Spectrum Imaging) data. Conclusions The brain tissues segmentation on DWI is a fundamental step on many applications. Accuracy and robustness improvements are achieved with the proposed software, with high impact on the application’s final result.