Submitted by Renata Lopes (renatasil82@gmail.com) on 2017-04-25T13:40:30Z No. of bitstreams: 1 marcosviniciusteixeira.pdf: 5877294 bytes, checksum: 8fe056549285d49782c2d9ec8e16f786 (MD5) / Approved for entry into archive by Adriana Oliveira (adriana.oliveira@ufjf.edu.br) on 2017-04-25T15:26:43Z (GMT) No. of bitstreams: 1 marcosviniciusteixeira.pdf: 5877294 bytes, checksum: 8fe056549285d49782c2d9ec8e16f786 (MD5) / Made available in DSpace on 2017-04-25T15:26:43Z (GMT). No. of bitstreams: 1 marcosviniciusteixeira.pdf: 5877294 bytes, checksum: 8fe056549285d49782c2d9ec8e16f786 (MD5) Previous issue date: 2015-08-21 / CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / Este trabalho tem como objetivo o estudo de técnicas para a estimação da amplitude de sinais no calorímetro de telhas (TileCal) do ATLAS no LHC em cenários de alta luminosidade. Em alta luminosidade, sinais provenientes de colisões adjacentes são observados, ocasionando o efeito de empilhamento de sinais. Neste ambiente, o método COF (do inglês, Constrained Optimal Filter), apresenta desempenho superior ao algoritmo atualmente implementado no sistema. Entretanto, o COF requer a inversão de matrizes para o cálculo da pseudo-inversa de uma matriz de convolução, dificultando sua implementação online. Para evitar a inversão de matrizes, este trabalho apresenta métodos interativos, para a daptação do COF, que resultam em operações matemáticas simples. Baseados no Gradiente Descendente, os resultados demonstraram que os algoritmos são capazes de estimar a amplitude de sinais empilhados, além do sinal de interesse com eficiência similar ao COF. Visando a implementação online, este trabalho apresenta estudos sobre a complexidade dos métodos iterativos e propõe uma arquitetura de processamento em FPGA. Baseado em uma estrutura sequencial e utilizando lógica aritmética em ponto fixo, os resultados demonstraram que a arquitetura desenvolvida é capaz executar o método iterativo, atendendo os requisitos de tempo de processamento exigidos no TileCal. / This work aims at the study of techniques for online energy estimation in the ATLAS hadronic Calorimeter (TileCal) on the LHC collider. During further periods of the LHC operation, signals coming from adjacent collisions will be observed within the same window, producing a signal superposition. In this environment, the energy reconstruction method COF (Constrained Optimal Filter) outperforms the algorithm currently implemented in the system. However , the COF method requires an inversion of matrices and its online implementation is not feasible. To avoid such inversion of matrices, this work presents iteractive methods to implement the COF, resulting in simple mathematical operations. Based on the Gradient Descent, the results demonstrate that the algorithms are capable of estimating the amplitude of the superimposed signals with efficiency similar to COF. In addition, a processing architecture for FPGA implementation is proposed. The analysis has shown that the algorithms can be implemented in the new TilaCal electronics, reaching the processing time requirements.

Submitted by isabela.moljf@hotmail.com (isabela.moljf@hotmail.com) on 2017-07-21T15:18:26Z No. of bitstreams: 1 davispereirabarbosa.pdf: 59375438 bytes, checksum: b4bcce98691deb4c521a6546b7bb6083 (MD5) / Approved for entry into archive by Adriana Oliveira (adriana.oliveira@ufjf.edu.br) on 2017-08-08T18:22:42Z (GMT) No. of bitstreams: 1 davispereirabarbosa.pdf: 59375438 bytes, checksum: b4bcce98691deb4c521a6546b7bb6083 (MD5) / Made available in DSpace on 2017-08-08T18:22:42Z (GMT). No. of bitstreams: 1 davispereirabarbosa.pdf: 59375438 bytes, checksum: b4bcce98691deb4c521a6546b7bb6083 (MD5) Previous issue date: 2012-07-03 / CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / Atualmente, o LHC é o maior e mais energético colisionador de partículas em fun-cionamento, colidindo prótons com energias de 7 TeV no centro de massa a cada 50 ns. Vários detectores estão posicionados para medir as características das partículas após a colisão, sendo então utilizadas para verificar a validade das novas teorias de física de partículas. O ATLAS é o maior dos detectores do LHC, estando em operação desde 2009 e fornecendo uma grande quantidade de dados para as análise físicas para a busca do Higgs. Um dos principais responsáveis pelas qualidade das informações adquiridas pelo ATLAS é o seu sistema de seleção de eventos online que foi desenvolvido para rejeitar informações irrelevantes das colisões, excluindo a enorme quantidade de ruído de fundo do experimento. Entretanto, o LHC passará por atualizações visando o au-mento da sua luminosidade em uma ordem de grandeza (103' para 1035) nos próximos dez anos, gerando assim uma maior quantidade de eventos por colisão, aumentando a probabilidade de empilhamento de eventos. Desta forma, o ATLAS e o seu sistema de seleção de eventos online também deverão sofrer modificações para atender aos novos requisitos do experimento. O presente trabalho realizou estudos sobre a utilização de novos algoritmos para estimação da energia de jatos no primeiro nível de seleção de eventos do detector ATLAS. Inicialmente, uma janela bidimensional é aplicada na região onde o jato foi identificado, visando a redução do impacto do empilhamento dos eventos nas bordas desta região. Em seguida, é proposta a utilização da informação de profundidade do calorímetro hadrônico do ATLAS na estimação de energia do jato, através de técnicas de otimização linear (mínimos quadrados) e não-linear (redes neu-rais artificiais). Os resultados obtidos, através de simulações Monte Carlo, mostraram que a informação de profundidade do TileCal reduz o erro de estimação da energia dos jatos em aproximadamente 23%, enquanto que a utilização da janela bidimen-sional melhora o comportamento inicial da curva de acionamento de jatos indicando sua efetividade em cenários de empilhamento de eventos. / The LHC is the biggest and most energetic particle collider, performing proton-proton collisions with 7 TeV on center of mass at 50 ns rate. Several detectors are placed along the LHC in order to measure the collisions results, envisaging the validation or rejection of the new particle physics theories. The ATLAS experiment is the biggest detector at LHC, operating very well since 2009 and providing large amount of data for the physics analysis envisaging the search for the Higgs Particle. The online event selection system (trigger) is one of the major reponsibles for the quality of the acquired data in ATLAS, it was designed to reject the huge amount of background noise generated at LHC. However, the LHC upgrade for high luminosity (10' to 1035) in the following ten years will increase the amount of events per collison, increasing the event pileup probability. In order to cope with the new luminosity requirements, the ATLAS and its trigger system will also upgrade its components and algorithms. This work presents the studies about the use of new algorithms for jet energy estimation in the first level of the ATLAS trigger system. Envisaging the reduction of the pileup effect, a bidimensional window is applied on the region where the event was identified (RoI). Additionally, the longitudinal information from the ATLAS hadronic calorimeter (TileCal) is used in order to improve the jet energy estimation, using linear (Least Square) and nonlinear (Artificial Neural Networks) optimization techniques. The achieved results, through Monte Carlo simulations, show that the TileCal logitudinal information reduces the energy estimation error by 23%, while the bidimensional window slightly improves the jet turn on curve indicating the reduction of the pileup effects.

For the past several decades, we have experienced the tremendous growth, in both scale and scope, of real-time embedded systems, thanks largely to the advances in IC technology. However, the traditional approach to get performance boost by increasing CPU frequency has been a way of past. Researchers from both industry and academia are turning their focus to multi-core architectures for continuous improvement of computing performance. In our research, we seek to develop efficient scheduling algorithms and analysis methods in the design of real-time embedded systems on multi-core platforms. Real-time systems are the ones with the response time as critical as the logical correctness of computational results. In addition, a variety of stringent constraints such as power/energy consumption, peak temperature and reliability are also imposed to these systems. Therefore, real-time scheduling plays a critical role in design of such computing systems at the system level. We started our research by addressing timing constraints for real-time applications on multi-core platforms, and developed both partitioned and semi-partitioned scheduling algorithms to schedule fixed priority, periodic, and hard real-time tasks on multi-core platforms. Then we extended our research by taking temperature constraints into consideration. We developed a closed-form solution to capture temperature dynamics for a given periodic voltage schedule on multi-core platforms, and also developed three methods to check the feasibility of a periodic real-time schedule under peak temperature constraint. We further extended our research by incorporating the power/energy constraint with thermal awareness into our research problem. We investigated the energy estimation problem on multi-core platforms, and developed a computation efficient method to calculate the energy consumption for a given voltage schedule on a multi-core platform. In this dissertation, we present our research in details and demonstrate the effectiveness and efficiency of our approaches with extensive experimental results.

The motivation for development of energy efficiency and implementation of novel advanced materials applied in buildings can be traced to increasing energy costs in conjunction with an enhanced environmental awareness among people. This doctoral dissertation presents contributions towards sustainable building, where factors such as building technology, energy efficiency in buildings, workers' health issues during construction measures, and certain economic considerations for renovation of buildings have been considered. The research study aims to provide a knowledge base for motivating building owners to renovate buildings based on energy efficiency and improved indoor environment. The initial phase of the research study identifies a detailed description of common drivers, expected in renovation projects by building owners. In the second phase, an information base is identified which may facilitate the bidding processes for decision makers by means of technological, social and economic aspects. The aforementioned information base can also contribute to attentive decisions regarding sustainable renovation and energy saving measures. A strategy was developed within the Renovation Workshop of Riksbyggen, in order to promote energy saving measures concurrent with major renovations in residential buildings. This operational decision support process was applied in a tenant owners' cooperative in Sweden. The objective of this process was to showcase and more importantly to implement energy saving measures, based on knowledge transfer between different parties involved in the renovation project. For the conducted case study, this process was shown to be of great importance when decisions regarding energy saving measures in conjunction with scheduled renovations are being planned. A unique case study was conducted on two of the most commonly used environmental certification programs for buildings in Sweden; Environmental Building (Miljöbyggnad) and GreenBuilding. Following a granted access to a limited database of submitted applications to Sweden Green Building Council, the most common mistakes in these were identified and categorized. This study contributed to further understanding about the level of ability among building consultants, comprehension of environmental certification, and enhancement of the ability to produce high-quality calculations concerning building-related energy usage. In addition, this insight can provide a basis for planning of continuing education of consultants within the field of building technology. For a church building, a study was conducted subsequent to an exchange of an existing electric coil heating system to a hydronic ground source heat pump system. Analyses of the energy demand and energy signature, prior to and after installation were carried out. The replacement of the original heating system with a ground source heat pump system for the church building constitutes a reduced energy consumption level of approximately 66%, at the average outside temperature of -2.30 °C. This study demonstrated that data from a detailed electric bill can be utilized in order to obtain the energy signature of the building and henceforth assess the energy savings. One aspect of the research, examined the decision making process related to sustainable renovation and refurbishment in buildings. The utilized methodology identified three distinct phases in order to instigate an engagement in sustainable renovation, by means of questionnaires and semi-structured interviews. In particular, the attitudes of stakeholders in Sweden, Denmark and Cyprus to sustainable building were studied through three separate case studies. Within the framework of this study, it was identified that building physics and durability are among the most important drivers for energy renovation. The results provided an insight into the renovation process in the aforementioned countries and identified that drivers such as improvement of indoor air quality and elimination of moisture in the building envelope are also of crucial importance. Another aspect of the conducted research highlights workplace accidents occurring within the Swedish construction sector. The purpose of this study was to serve as a useful tool to track the working environments of construction workers in order to reduce health and safety issues within the construction sector. The findings of this research suggest that despite laws, regulations or additional factors that seek to ensure a safe and healthy environment for construction workers, the Swedish construction work force still faces challenges. Moreover, it is identified that construction workers participating in the study call for additional measures to ensure occupational health and safety. Improved knowledge of economic performance and technical results of renovations can contribute to a snowball effect, with more property owners recognizing the value of energy aspects and thus provide an increased level of energy savings. / <p>QC 20140127</p> / A Concept for promotion of sustainable retrofitting and renovation in Early Stages (ACES)

In the first part of the thesis, the molecular structure and electronic properties of phospholipids at the single molecule level and also for a monolayer structure are investigated via ab initio calculations under different degrees of hydration. The focus of the study is on phosphatidylcholines, in particular dipalmitoylphosphatidylcholine (DPPC), which are the most abundant phospholipids in biological membranes. Upon hydration, the phospholipid shape into a sickle-like structure. The hydration dramatically alters the surface potential, dipole and quadrupole moments of the lipids, and probably guides the interactions of the lipids with other molecules and the communication between cells. The vibrational spectrum of DPPC and DPPC-water complexes are completely assigned and it is shown that water hydrating the lipid head groups enables efficient energy transfer across membrane leaflets on sub-picosecond time scales. Moreover, the vibrational modes and lifetimes of pure and hydrated DPPC lipids, at human body temperature, are estimated by performing ab initio molecular dynamics simulations. The vibrational modes of the water molecules close to the head group of DPPC are active in the frequency range between 0.5 - 55 THz, with a peak at 2.80 THz in the energy spectrum. The computed lifetimes for the high-frequency modes agree well with recent data measured at room temperature, where high-order phonon scattering is not negligible. The structure and auto-ionization of water at the water-phospholipid interface are investigated by ab initio molecular dynamics and ab initio Monte Carlo simulations using local density approximation and generalized gradient approximation for the exchange-correlation energy functional. Depending on the lipid head group, strongly enhanced ionization is observed, leading to dissociation of several water molecules into H+ and OH- per lipid. The results can shed light on the phenomena of the high proton conductivity along membranes that has been reported experimentally. In the second part of the thesis, Monte Carlo simulations of the lipid bilayer, on the basis of a coarse grained model, are performed to gain insight into the mechanical properties of planar lipid bilayers. By using a rescaling method, the Poisson's ratio is calculated for different phases. Additional information on the bending rigidity, determined from height fluctuations on the basis of the Helfrich Hamiltonian, allows for calculation of the Young's modulus for each phase. In addition, the free energy barrier for lipid flip-flop process in the fluid and gel phases are estimated. The main rate-limiting step to complete a flip-flop process is related to a free energy barrier that has to be crossed in order to reach the center of the bilayer. The free energy cost for performing a lipid flip-flop in the gel phase is found to be five times greater than in the fluid phase, demonstrating the rarity of such events in the gel phase. Moreover, an energy barrier is estimated for formation of transient water pores that often precedes lipid translocation events and accounts for the rate-limiting step of these pore-associated lipid translocation processes.

The quest to balance occupant comfort with energy efficiency is a key challenge in the field of heating systems, particularly for hydronic radiators. This study addresses this issue by investigating the integration of body heat predictions into a gain-scheduling controller for a hydronic radiator system. Although the benefits of gain-scheduling control strategies are acknowledged in HVAC systems, this exploration into the integration of body heat predictions in hydronic radiator systems presents a novel approach. A Linear Parameter-Varying (LPV) controller was employed and its impact on comfort, energy consumption, and robustness in the face of varying parameters such as the number of occupants, inaccuracies in body heat prediction, and set-point temperature changes was examined. This proposed controller was tested in a simulated house heating system made in Simulink. Findings indicated a substantial enhancement in comfort, especially under low-load scenarios. The controller demonstrated notable robustness against disturbances, highlighting the system’s reliability. Although energy consumption did not show significant reduction, the ability to maintain comfort levels without increasing energy use is a valuable contribution to sustainable heating practices. The results of this study extend our understanding of control strategies in hydronic radiator systems, providing a promising approach towards more comfortable, robust, and energy-efficient solutions. Further research should focus on improving the accuracy of body heat prediction algorithms and incorporating renewable energy sources for increased energy efficiency. In sum, this work represents a significant step towards a more balanced and sustainable future in the operation of hydronic radiator systems. / Denna studie utforskar möjligheten att balansera komfort och energieffektivitet i vattenburna elementsystem genom att integrera kroppsvärmeberäkningar i en gain-scheduling regleralgoritm. Vi presenterar en nyanserad metod som använder en Linjär Parameterberoende (LPV) reglerare. Denna reglerare anpassar sig till varierande parametrar som antal personer i rummet, osäkerheter i kroppsvärmeberäkningar och förändringar i inställd temperatur. Den föreslagna regleraren testades i ett simulerat husvärmesystem skapat i Simulink. Resultaten indikerade en betydande förbättring i komfort, särskilt under låglastscenarier. Regleraren uppvisade också anmärkningsvärd robusthet mot störningar, vilket understrykersystemets tillförlitlighet. Även om ingen signifikant minskning i energiförbrukning observerades, är förmågan att bibehålla komfortnivåer utan att öka energianvändningen ett värdefullt bidrag till hållbara uppvärmningsmetoder. Denna studie utökar vår förståelse för reglerstrategier i vattenburna elementsystem och erbjuder en lovande väg framåt mot mer komfortabla, robusta och energieffektiva lösningar. För framtida forskning bör fokus ligga på att förbättra noggrannheten i kroppsvärmeberäkningsalgoritmer och att integrera förnybara energikällor för ökad energieffektivitet. Sammantaget representerar detta arbete ett betydande steg mot en mer balanserad och hållbar framtid i drift av vattenburna elementsystem.