980 resultados para procedural level generation
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One of the most efficient approaches to generate the side information (SI) in distributed video codecs is through motion compensated frame interpolation where the current frame is estimated based on past and future reference frames. However, this approach leads to significant spatial and temporal variations in the correlation noise between the source at the encoder and the SI at the decoder. In such scenario, it would be useful to design an architecture where the SI can be more robustly generated at the block level, avoiding the creation of SI frame regions with lower correlation, largely responsible for some coding efficiency losses. In this paper, a flexible framework to generate SI at the block level in two modes is presented: while the first mode corresponds to a motion compensated interpolation (MCI) technique, the second mode corresponds to a motion compensated quality enhancement (MCQE) technique where a low quality Intra block sent by the encoder is used to generate the SI by doing motion estimation with the help of the reference frames. The novel MCQE mode can be overall advantageous from the rate-distortion point of view, even if some rate has to be invested in the low quality Intra coding blocks, for blocks where the MCI produces SI with lower correlation. The overall solution is evaluated in terms of RD performance with improvements up to 2 dB, especially for high motion video sequences and long Group of Pictures (GOP) sizes.
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In competitive electricity markets with deep concerns at the efficiency level, demand response programs gain considerable significance. In the same way, distributed generation has gained increasing importance in the operation and planning of power systems. Grid operators and utilities are taking new initiatives, recognizing the value of demand response and of distributed generation for grid reliability and for the enhancement of organized spot market´s efficiency. Grid operators and utilities become able to act in both energy and reserve components of electricity markets. This paper proposes a methodology for a joint dispatch of demand response and distributed generation to provide energy and reserve by a virtual power player that operates a distribution network. The proposed method has been computationally implemented and its application is illustrated in this paper using a 32 bus distribution network with 32 medium voltage consumers.
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The increase of distributed generation (DG) has brought about new challenges in electrical networks electricity markets and in DG units operation and management. Several approaches are being developed to manage the emerging potential of DG, such as Virtual Power Players (VPPs), which aggregate DG plants; and Smart Grids, an approach that views generation and associated loads as a subsystem. This paper presents a multi-level negotiation mechanism for Smart Grids optimal operation and negotiation in the electricity markets, considering the advantages of VPPs’ management. The proposed methodology is implemented and tested in MASCEM – a multiagent electricity market simulator, developed to allow deep studies of the interactions between the players that take part in the electricity market negotiations.
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This paper presents a genetic algorithm for the multimode resource-constrained project scheduling problem (MRCPSP), in which multiple execution modes are available for each of the activities of the project. The objective function is the minimization of the construction project completion time. To solve the problem, is applied a two-level genetic algorithm, which makes use of two separate levels and extend the parameterized schedule generation scheme by introducing an improvement procedure. It is evaluated the quality of the schedule and present detailed comparative computational results for the MRCPSP, which reveal that this approach is a competitive algorithm.
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Recent changes in the operation and planning of power systems have been motivated by the introduction of Distributed Generation (DG) and Demand Response (DR) in the competitive electricity markets' environment, with deep concerns at the efficiency level. In this context, grid operators, market operators, utilities and consumers must adopt strategies and methods to take full advantage of demand response and distributed generation. This requires that all the involved players consider all the market opportunities, as the case of energy and reserve components of electricity markets. The present paper proposes a methodology which considers the joint dispatch of demand response and distributed generation in the context of a distribution network operated by a virtual power player. The resources' participation can be performed in both energy and reserve contexts. This methodology contemplates the probability of actually using the reserve and the distribution network constraints. Its application is illustrated in this paper using a 32-bus distribution network with 66 DG units and 218 consumers classified into 6 types of consumers.
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The provision of reserves in power systems is of great importance in what concerns keeping an adequate and acceptable level of security and reliability. This need for reserves and the way they are defined and dispatched gain increasing importance in the present and future context of smart grids and electricity markets due to their inherent competitive environment. This paper concerns a methodology proposed by the authors, which aims to jointly and optimally dispatch both generation and demand response resources to provide the amounts of reserve required for the system operation. Virtual Power Players are especially important for the aggregation of small size demand response and generation resources. The proposed methodology has been implemented in MASCEM, a multi agent system also developed at the authors’ research center for the simulation of electricity markets.
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4th International Conference on Future Generation Communication Technologies (FGCT 2015), Luton, United Kingdom.
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In the traditional paradigm, the large power plants supply the reactive power required at a transmission level and the capacitors and transformer tap changer were also used at a distribution level. However, in a near future will be necessary to schedule both active and reactive power at a distribution level, due to the high number of resources connected in distribution levels. This paper proposes a new multi-objective methodology to deal with the optimal resource scheduling considering the distributed generation, electric vehicles and capacitor banks for the joint active and reactive power scheduling. The proposed methodology considers the minimization of the cost (economic perspective) of all distributed resources, and the minimization of the voltage magnitude difference (technical perspective) in all buses. The Pareto front is determined and a fuzzy-based mechanism is applied to present the best compromise solution. The proposed methodology has been tested in the 33-bus distribution network. The case study shows the results of three different scenarios for the economic, technical, and multi-objective perspectives, and the results demonstrated the importance of incorporating the reactive scheduling in the distribution network using the multi-objective perspective to obtain the best compromise solution for the economic and technical perspectives.
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Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.
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The purpose of this thesis is to investigate how far the education level of the second or third generation of publicly traded German family firms affects the post-succession firm performance. By conducting a correlational and regression design, the aim is to examine how several variables influence the performance of family firms. Performance measures, for example ROA and Tobin’s q and variables, like Education level and succession periods, examine analytically that a positive succession trend will occur. However, with the used model, only a less rigid model shows empirical evidence.
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Doctoral Program in Computer Science
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ETL conceptual modeling is a very important activity in any data warehousing system project implementation. Owning a high-level system representation allowing for a clear identification of the main parts of a data warehousing system is clearly a great advantage, especially in early stages of design and development. However, the effort to model conceptually an ETL system rarely is properly rewarded. Translating ETL conceptual models directly into something that saves work and time on the concrete implementation of the system process it would be, in fact, a great help. In this paper we present and discuss a hybrid approach to this problem, combining the simplicity of interpretation and power of expression of BPMN on ETL systems conceptualization with the use of ETL patterns to produce automatically an ETL skeleton, a first prototype system, which has the ability to be executed in a commercial ETL tool like Kettle.
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Invasive cervical cancer (ICC) is the third most frequent cancer among women worldwide and is associated with persistent infection by carcinogenic human papillomaviruses (HPVs). The combination of large populations of viral progeny and decades of sustained infection may allow for the generation of intra-patient diversity, in spite of the assumedly low mutation rates of PVs. While the natural history of chronic HPVs infections has been comprehensively described, within-host viral diversity remains largely unexplored. In this study we have applied next generation sequencing to the analysis of intra-host genetic diversity in ten ICC and one condyloma cases associated to single HPV16 infection. We retrieved from all cases near full-length genomic sequences. All samples analyzed contained polymorphic sites, ranging from 3 to 125 polymorphic positions per genome, and the median probability of a viral genome picked at random to be identical to the consensus sequence in the lesion was only 40%. We have also identified two independent putative duplication events in two samples, spanning the L2 and the L1 gene, respectively. Finally, we have identified with good support a chimera of human and viral DNA. We propose that viral diversity generated during HPVs chronic infection may be fueled by innate and adaptive immune pressures. Further research will be needed to understand the dynamics of viral DNA variability, differentially in benign and malignant lesions, as well as in tissues with differential intensity of immune surveillance. Finally, the impact of intralesion viral diversity on the long-term oncogenic potential may deserve closer attention.
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Dendritic cells (DCs) are professional APCs that have a role in the initiation of adaptive immune responses and tolerance. Among the tolerogenic mechanisms, the expression of the enzyme IDO1 represents an effective tool to generate T regulatory cells. In humans, different DC subsets express IDO1, but less is known about the IDO1-related enzyme IDO2. In this study, we found a different pattern of expression and regulation between IDO1 and IDO2 in human circulating DCs. At the protein level, IDO1 is expressed only in circulating myeloid DCs (mDCs) and is modulated by PGE2, whereas IDO2 is expressed in both mDCs and plasmacytoid DCs and is not modulated by PGE2. In healthy subjects, IDO1 expression requires the presence of PGE2 and needs continuous transcription and translation, whereas IDO2 expression is constitutive, independent from suppressor of cytokine signaling 3 activity. Conversely, in patients suffering from inflammatory arthritis, circulating DCs express both IDO1 and IDO2. At the functional level, both mDCs and plasmacytoid DCs generate T regulatory cells through an IDO1/IDO2-dependent mechanism. We conclude that, in humans, whereas IDO1 provides an additional mechanism of tolerance induced by proinflammatory mediators, IDO2 is stably expressed in steady-state conditions and may contribute to the homeostatic tolerogenic capacity of DCs.
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CHO is the most commonly used mammalian host for the generation of cell lines allowing for the production of high quality therapeutic proteins. The generation of such cell lines is a lengthy and resource-intensive process requiring extensive screening in order to isolate candidates with optimal characteristics, such as growth, stability and productivity. For this reason, the biotechnology industry invests much effort in attempts to optimize CHO expression systems in order to streamline and shorten the cell line selection process. Based on preliminary observations of a facilitated selection of CHO-GS cell lines expressing members of the IL-17 cytokine family, this study investigates the use of IL-17F as a novel enhancing factor for CHO cell line generation. Using two different CHO expression systems (exploiting GS and DHFR-based selection), we demonstrated that IL-17F expression caused a significant increase in the occurrence of colonies during the selection process. All colonies selected produced substantial amounts of IL-17F, suggesting that benefits were conferred, during selection, to those cells expressing the cytokine. Furthermore, transgene expression levels were significantly increased when the selection pressure was raised to a level that would not normally be permissive for colony selection (i.e. 100 |o.M MSX for the CHO-GS expression system or 1000 nM MTX for the CHO-DHFR system). Finally, IL-17F expression was also found to enhance the rate of appearance of clones during single cell subcloning in the absence of selection pressure. Overall, these benefits have the potential to allow a substantial reduction in the length of cell line generation while significantly increasing cell line productivity. Nevertheless, we found that the high IL-17F expression levels required to convey enhancing effects was a limitation when attempting to co-express IL-17F and a recombinant soluble protein of therapeutic interest from independent CMV promoters within the same expression vector. In order to understand and overcome this limitation, studies were designed to characterize the IL-17F enhancing effect at the molecular and cellular level. Regular supplementation of recombinant biologically-active IL-17F into the culture medium during cell line selection was not able to reproduce the enhancing effects of endogenous IL-17F expression. In addition, increased IL-17F expression correlated with increased CHO-GS selection transgene expression at the single cell level. This data suggested a possible effect of IL-17F on viral promoter activity or transgene mRNA stability. It also provided direct evidence that the cells expressing the highest amounts of IL-17F obtained the most benefit. Overall data obtained from these study implied that IL-17F may act through an intracellular mechanism, possibly exerted during secretion. We therefore initiated experiments designed to determine the specific compartment(s) within which IL-17F triggers its effect. This work has identified IL-17F as a potentially powerful tool to optimize the CHO cell line generation process. The characterization of this enhancing effect at the molecular level has given us several insights into overcoming the current limitations, thus paving the way for the development of a viable technology that can be exploited within the biotechnology industry. - La CHO est la cellule hôte de mammifere la plus couramment utilisée dans la création de lignée cellulaire produisant des protéines thérapeutiques de haute qualité. La génération de ces lignées cellulaires est un processus long et exigeant l'utilisation de techniques de sélection robustes afin d'isoler des candidats possédants les caractéristiques optimales de croissance, de productivité et de stabilité d'expression. Les industries biopharmaceutiques ont investi beaucoup d'efforts afin d'optimiser les systèmes d'expression CHO dans le but raccourcir la longueur du procédé de sélection de lignées cellulaires et aussi d'en augmenter l'efficacité. A partir d'observations préliminaires obtenues lors de la génération de lignées cellulaires CHO- GS exprimant une cytokine appartenant à la famille des IL-17, nous avons réalisé une étude portant sur l'utilisation de l'IL-17F humaine (IL-17F) comme nouveau facteur d'optimisation pour la génération de lignées cellulaires CHO. Nous avons démontré, en utilisant les deux systèmes de sélection et d'expression CHO couramment utilisés (le premier exploitant la GS et l'autre basée sur la DHFR), que l'expression de l'IL-17F permet une augmentation significative de la fréquence d'apparition de colonies durant le processus de sélection de lignées cellulaires. Les différentes colonies sélectionnées expriment des quantités substantielles d'IL-17F, suggérant un effet bénéfique lors de la sélection qui serait exclusivement conféré aux cellules exprimant la cytokine. En outre, le niveau d'expression du transgene se trouve significativement augmenté lorsque la pression de sélection est portée à un niveau habituellement trop élevé pour permettre la sélection de colonies (soit 100 |JM MSX pour le système d'expression CHO-GS ou 1000 nM MTX pour le système CHO- DHFR). Enfin, l'expression d'IL-17F permet également d'améliorer la vitesse d'apparition de clones pendant une étape de sous-clonage en l'absence de pression de sélection. L'ensemble de ces effets bénéfiques permettent une réduction substantielle de la durée de génération de lignées cellulaires tout en augmentant considérablement la productivité des lignées obtenues. Néanmoins, nous avons constaté que la nécessité d'exprimer des niveaux élevés d'IL-17F afin obtenir l'ensemble de ses effets bénéfiques devient une contrainte lors de l'utilisation d'un vecteur d'expression composé de deux promoteurs CMV indépendants pour la co-expression de la cytokine et d'une protéine soluble présentant un intérêt thérapeutique. Afin de mieux comprendre et de surmonter cette limitation, plusieurs études ont été effectuées dans le but de mieux caractériser l'effet de IL-17F au niveau subcellulaire. L'apport régulier en IL-17F recombinante et biologiquement active dans le milieu de culture lors de la sélection de lignées cellulaires ne permet pas de reproduire les effets bénéfiques observés par l'expression endogène d'IL-17F. En outre, nous avons constaté que, lors de l'utilisation du système CHO- GS, l'augmentation d'expression de 1TL-17F est corrélée à un accroissement de l'expression du marqueur de sélection au niveau cellulaire. Ces résultats suggèrent un possible effet d'IL- 17F sur l'activité des promoteurs viraux et ainsi fournissent une preuve directe que les cellules exprimant de haut niveau d'IL-17F sont celles qui en profitent le plus. L'ensemble de ces observations mettrait en avant que l'effet d'IL-17F se ferait selon un mécanisme intracellulaire. Nous avons donc étudié le(s) compartiment(s) spécifique(s) dans lequel IL-17F pourrait exercer son effet. Ce travail a permis de définir IL-17F comme un puissant outil pour l'optimisation des procédés de génération de lignées cellulaires CHO. La caractérisation de cette amélioration de l'effet au niveau moléculaire nous a donné plusieurs indications sur la manière de dépasser les limitations actuelles, ouvrant ainsi la voie au développement d'une technologie viable qui peut être exploitée pars l'industrie biotechnologique.