987 resultados para R software
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The consumption of energy on the planet is currently based on fossil fuels. They are responsible for adverse effects on the environment. Renewables propose solutions for this scenario, but must face issues related to the capacity of the power supply. Wind energy offshore emerging as a promising alternative. The speed and stability are greater winds over oceans, but the variability of these may cause inconvenience to the generation of electric power fluctuations. To reduce this, a combination of wind farms geographically distributed was proposed. The greater the distance between them, the lower the correlation between the wind velocity, increasing the likelihood that together achieve more stable power system with less fluctuations in power generation. The efficient use of production capacity of the wind park however, depends on their distribution in marine environments. The objective of this research was to analyze the optimal allocation of wind farms offshore on the east coast of the U.S. by Modern Portfolio Theory. The Modern Portfolio Theory was used so that the process of building portfolios of wind energy offshore contemplate the particularity of intermittency of wind, through calculations of return and risk of the production of wind farms. The research was conducted with 25.934 observations of energy produced by wind farms 11 hypothetical offshore, from the installation of 01 simulated ocean turbine with a capacity of 5 MW. The data show hourly time resolution and covers the period between January 1, 1998 until December 31, 2002. Through the Matlab R software, six were calculated minimum variance portfolios, each for a period of time distinct. Given the inequality of the variability of wind over time, set up four strategies rebalancing to evaluate the performance of the related portfolios, which enabled us to identify the most beneficial to the stability of the wind energy production offshore. The results showed that the production of wind energy for 1998, 1999, 2000 and 2001 should be considered by the portfolio weights calculated for the same periods, respectively. Energy data for 2002 should use the weights derived from the portfolio calculated in the previous time period. Finally, the production of wind energy in the period 1998-2002 should also be weighted by 1/11. It follows therefore that the portfolios found failed to show reduced levels of variability when compared to the individual production of wind farms hypothetical offshore
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O cancro colo-retal é um dos tipos de cancro mais comuns, em ambos os sexos, tendo em conta os dados existentes nos registos oncológicos nas mais diversas regiões do globo, facto que acontece também na região Norte de Portugal. O objetivo desta dissertação foi utilizar métodos de análise de sobrevivência tradicional e de análise de sobrevivência relativa, em dados do cancro colo-retal, considerando um período de observação de 5 anos. Os dados analisados são provenientes do Registo Oncológico Regional do Norte (RORENO), obtendo-se, após inspeção e tratamento prévio, um total de 2855 pacientes aos quais foi diagnosticado cancro colo-retal em dois períodos distintos, 2000-2001 e 2007- 2008. Pretendeu-se também determinar de que forma as covariáveis influenciam a sobrevivência, e como esta evoluiu entre essas duas coortes. Dado não existir informação sobre as causas de morte, foi objetivo deste estudo estimar que parte da mortalidade observada se deve à doença em questão e que parte se deve a outras causas que afetam a mortalidade da população geral. Foram, também, estimados os coeficientes das covariáveis consideradas para os modelos adotados. Todos os resultados foram obtidos utilizando como recurso o software R e seus pacotes adequados. Utilizaram-se diversos métodos tais como Kaplan-Meier, Cox, Ederer II e Net Survival, sendo este último considerado o mais adequado a este tipo de estudo pois é considerado pela comunidade científica o único estimador centrado para análise de sobrevivência relativa e cujas propriedades estatísticas permitem a sua utilização em estudos comparativos entre países. Verificou-se, por este estimador, que não existem diferenças significativas na sobrevivência em função do sexo, idade, distrito ou localização do cancro (cólon ou reto). Por outro lado verificaram-se diferenças significativas para a sobrevivência em função do estadio e das coortes, registando-se um acréscimo global de 8.5% na sobrevivência aos 5 anos de 2000-2001 para 2007-2008. Por fim destacam-se alguns aspetos que merecem atenção em estudos futuros.
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The XSophe-Sophe-XeprView((R)) computer simulation software suite enables scientists to easily determine spin Hamiltonian parameters from isotropic, randomly oriented and single crystal continuous wave electron paramagnetic resonance (CW EPR) spectra from radicals and isolated paramagnetic metal ion centers or clusters found in metalloproteins, chemical systems and materials science. XSophe provides an X-windows graphical user interface to the Sophe programme and allows: creation of multiple input files, local and remote execution of Sophe, the display of sophelog (output from Sophe) and input parameters/files. Sophe is a sophisticated computer simulation software programme employing a number of innovative technologies including; the Sydney OPera HousE (SOPHE) partition and interpolation schemes, a field segmentation algorithm, the mosaic misorientation linewidth model, parallelization and spectral optimisation. In conjunction with the SOPHE partition scheme and the field segmentation algorithm, the SOPHE interpolation scheme and the mosaic misorientation linewidth model greatly increase the speed of simulations for most spin systems. Employing brute force matrix diagonalization in the simulation of an EPR spectrum from a high spin Cr(III) complex with the spin Hamiltonian parameters g(e) = 2.00, D = 0.10 cm(-1), E/D = 0.25, A(x) = 120.0, A(y) = 120.0, A(z) = 240.0 x 10(-4) cm(-1) requires a SOPHE grid size of N = 400 (to produce a good signal to noise ratio) and takes 229.47 s. In contrast the use of either the SOPHE interpolation scheme or the mosaic misorientation linewidth model requires a SOPHE grid size of only N = 18 and takes 44.08 and 0.79 s, respectively. Results from Sophe are transferred via the Common Object Request Broker Architecture (CORBA) to XSophe and subsequently to XeprView((R)) where the simulated CW EPR spectra (1D and 2D) can be compared to the experimental spectra. Energy level diagrams, transition roadmaps and transition surfaces aid the interpretation of complicated randomly oriented CW EPR spectra and can be viewed with a web browser and an OpenInventor scene graph viewer.
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Työssä tutkittiin tehokasta tietojohtamista globaalin metsäteollisuusyrityksen tutkimus ja kehitys verkostossa. Työn tavoitteena oli rakentaa kuvaus tutkimus ja kehitys sisällön hallintaan kohdeyrityksen käyttämän tietojohtamisohjelmiston avulla. Ensin selvitettiin käsitteitä tietämys ja tietojohtaminen kirjallisuuden avulla. Selvityksen perusteella esitettiin prosessimalli, jolla tietämystä voidaan tehokkaasti hallita yrityksessä. Seuraavaksi analysoitiin tietojohtamisen asettamia vaatimuksia informaatioteknologialle ja informaatioteknologian roolia prosessimallissa. Verkoston vaatimukset tietojohtamista kohtaan selvitettiin haastattelemalla yrityksen avainhenkilöitä. Haastatteluiden perusteella järjestelmän tuli tehokkaasti tukea virtuaalisten projektiryhmien työskentelyä, mahdollistaa tehtaiden välinen tietämyksen jakaminen ja tukea järjestelmään syötetyn sisällön hallintaa. Ensiksi järjestelmän käyttöliittymän rakenne ja salaukset muokattiin vastaamaan verkoston tarpeita. Rakenne tarjoaa työalueen työryhmille ja alueet tehtaiden väliseen tietämyksen jakamiseen. Sisällönhallintaa varten järjestelmään kehitettiin kategoria, profiloitu portaali ja valmiiksi määriteltyjä hakuja. Kehitetty malli tehostaa projektiryhmien työskentelyä, mahdollistaa olemassa olevan tietämyksen hyväksikäytön tehdastasolla sekä helpottaa tutkimus ja kehitys aktiviteettien seurantaa. Toimenpide-ehdotuksina esitetään järjestelmän integrointia tehtaiden operatiivisiin ohjausjärjestelmiin ja ohjelmiston käyttöönottoa tehdastason projektinhallinta työkaluksi.Ehdotusten tavoitteena on varmistaa sekä tehokas tietämyksen jakaminen tehtaiden välillä että tehokas tietojohtaminen tehdastasolla.
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Resumen basado en el de la publicaci??n
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Resumen basado en el de la publicaci??n
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Background qtl.outbred is an extendible interface in the statistical environment, R, for combining quantitative trait loci (QTL) mapping tools. It is built as an umbrella package that enables outbred genotype probabilities to be calculated and/or imported into the software package R/qtl. Findings Using qtl.outbred, the genotype probabilities from outbred line cross data can be calculated by interfacing with a new and efficient algorithm developed for analyzing arbitrarily large datasets (included in the package) or imported from other sources such as the web-based tool, GridQTL. Conclusion qtl.outbred will improve the speed for calculating probabilities and the ability to analyse large future datasets. This package enables the user to analyse outbred line cross data accurately, but with similar effort than inbred line cross data.
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Gli impianti di riscaldamento sono costituiti dalle seguenti parti: sistema di produzione (pompa di calore, caldaia, pannelli solari, gruppi frigoriferi, ecc), sistema di distribuzione (tubazioni necessarie a trasportare il fluido vettore ai terminali di utilizzo), sistema di erogazione (i radiatori, oppure i ventilconvettori, i pannelli radianti a pavimento, a parete, a soffitto, etc.), sistema di regolazione, sistema di accumulo. L’impianto da inserire deve bilanciare le dispersioni termiche dell’edificio, che dipendono essenzialmente dalla temperatura interna desiderata di 20°C, dalla temperatura esterna, dall’isolamento e dal volume da riscaldare. L’obiettivo della tesi è analizzare il risultato raggiunto dal punto di vista del benessere ambientale e del consumo energetico trascurando l’aspetto della fattibilità dell’impianto e del costo che quest’ultimo può avere.
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La tesi fornisce una panoramica delle principali metodologie di analisi dei dati utilizzando il software open source R e l’ambiente di sviluppo integrato (IDE) RStudio. Viene effettuata un’analisi descrittiva e quantitativa dei dati GICS, tassonomia industriale che cataloga le principali aziende per il processo di gestione e ricerca degli asset di investimento. Sono stati studiati i principali settori del mercato USA considerando il fatturato, le spese per il lobbying e tre indici che misurano il grado di collegamento fra industrie. Su questi dati si sono svolte delle analisi quantitative e si sono tentati alcuni modelli nell’ambito della regressione lineare semplice e multipla. Tale studio ha il compito di verificare eventuali interazioni fra le variabili o pattern di comportamento strategico societario durante il periodo 2007 - 2012, anni di rinnovo e miglioramento delle regolamentazioni in materia di lobbying negli Stati Uniti. Più nello specifico vengono presi in esame tre settori: IT, Health Care e Industrial dove viene studiato l’andamento del reddito medio e la spesa media in attività di lobbying dei settori. I risultati ottenuti mostrano l’utilità dei pacchetti di R per l’analisi dei dati: vengono individuati alcuni andamenti che, se confermati da ulteriori e necessarie analisi, potrebbero essere interessanti per capire non solo i meccanismi impliciti nell’attività di lobbying ma anche comportamenti anomali legati a questa attività.
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Commercial off-the-shelf microprocessors are the core of low-cost embedded systems due to their programmability and cost-effectiveness. Recent advances in electronic technologies have allowed remarkable improvements in their performance. However, they have also made microprocessors more susceptible to transient faults induced by radiation. These non-destructive events (soft errors), may cause a microprocessor to produce a wrong computation result or lose control of a system with catastrophic consequences. Therefore, soft error mitigation has become a compulsory requirement for an increasing number of applications, which operate from the space to the ground level. In this context, this paper uses the concept of selective hardening, which is aimed to design reduced-overhead and flexible mitigation techniques. Following this concept, a novel flexible version of the software-based fault recovery technique known as SWIFT-R is proposed. Our approach makes possible to select different registers subsets from the microprocessor register file to be protected on software. Thus, design space is enriched with a wide spectrum of new partially protected versions, which offer more flexibility to designers. This permits to find the best trade-offs between performance, code size, and fault coverage. Three case studies have been developed to show the applicability and flexibility of the proposal.
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Objetivos da apresentação • Introduzir o R como um software para análise de dados, estatística, armazenamento e criação de gráficos, que é também uma linguagem de programação • Introduzir a operação básica do software R e apresentar algumas das suas funcionalidades e potencialidades • Partilhar um conjunto de recursos que facilitem a aprendizagem e exploração do R • Apresentar alguns exemplos do uso de R • Propor uma comunidade de uso local, para explorar o R
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L-studio/cpfg is a plant modeling software system designed for Windows 95/98/NT platforms. Its key components are the L-system-based plant simulator cpfg and the modeling environment called L-studio. We overview version 1.0 of this system from the user's perspective.
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Dherte PM, Negrao MPG, Mori Neto S, Holzhacker R, Shimada V, Taberner P, Carmona MJC - Smart Alerts: Development of a Software to Optimize Data Monitoring. Background and objectives: Monitoring is useful for vital follow-ups and prevention, diagnosis, and treatment of several events in anesthesia. Although alarms can be useful in monitoring they can cause dangerous user`s desensitization. The objective of this study was to describe the development of specific software to integrate intraoperative monitoring parameters generating ""smart alerts"" that can help decision making, besides indicating possible diagnosis and treatment. Methods: A system that allowed flexibility in the definition of alerts, combining individual alarms of the parameters monitored to generate a more elaborated alert system was designed. After investigating a set of smart alerts, considered relevant in the surgical environment, a prototype was designed and evaluated, and additional suggestions were implemented in the final product. To verify the occurrence of smart alerts, the system underwent testing with data previously obtained during intraoperative monitoring of 64 patients. The system allows continuous analysis of monitored parameters, verifying the occurrence of smart alerts defined in the user interface. Results: With this system a potential 92% reduction in alarms was observed. We observed that in most situations that did not generate alerts individual alarms did not represent risk to the patient. Conclusions: Implementation of software can allow integration of the data monitored and generate information, such as possible diagnosis or interventions. An expressive potential reduction in the amount of alarms during surgery was observed. Information displayed by the system can be oftentimes more useful than analysis of isolated parameters.