Probability distribution functions

This technical report describes the PDFs which have been implemented to model the behaviours of certain parameters of the Repeater-Based Hybrid Wired/Wireless PROFIBUS Network Simulator (RHW2PNetSim) and Bridge-Based Hybrid Wired/Wireless PROFIBUS Network Simulator (BHW2PNetSim).

Bit error models

The use of bit error models in communication simulation has been widely studied. In this technical report we present three models: the Independent Channel Model; the Gilbert-Elliot Model and the Burst-Error Periodic Model.

Perceptually driven video error protection using a distributed source coding approach

In video communication systems, the video signals are typically compressed and sent to the decoder through an error-prone transmission channel that may corrupt the compressed signal, causing the degradation of the final decoded video quality. In this context, it is possible to enhance the error resilience of typical predictive video coding schemes using as inspiration principles and tools from an alternative video coding approach, the so-called Distributed Video Coding (DVC), based on the Distributed Source Coding (DSC) theory. Further improvements in the decoded video quality after error-prone transmission may also be obtained by considering the perceptual relevance of the video content, as distortions occurring in different regions of a picture have a different impact on the user's final experience. In this context, this paper proposes a Perceptually Driven Error Protection (PDEP) video coding solution that enhances the error resilience of a state-of-the-art H.264/AVC predictive video codec using DSC principles and perceptual considerations. To increase the H.264/AVC error resilience performance, the main technical novelties brought by the proposed video coding solution are: (i) design of an improved compressed domain perceptual classification mechanism; (ii) design of an improved transcoding tool for the DSC-based protection mechanism; and (iii) integration of a perceptual classification mechanism in an H.264/AVC compliant codec with a DSC-based error protection mechanism. The performance results obtained show that the proposed PDEP video codec provides a better performing alternative to traditional error protection video coding schemes, notably Forward Error Correction (FEC)-based schemes. (C) 2013 Elsevier B.V. All rights reserved.

Fractional derivatives: probability interpretation and frequency response of rational approximations

The theory of fractional calculus (FC) is a useful mathematical tool in many applied sciences. Nevertheless, only in the last decades researchers were motivated for the adoption of the FC concepts. There are several reasons for this state of affairs, namely the co-existence of different definitions and interpretations, and the necessity of approximation methods for the real time calculation of fractional derivatives (FDs). In a first part, this paper introduces a probabilistic interpretation of the fractional derivative based on the Grünwald-Letnikov definition. In a second part, the calculation of fractional derivatives through Padé fraction approximations is analyzed. It is observed that the probabilistic interpretation and the frequency response of fraction approximations of FDs reveal a clear correlation between both concepts.

Probability and statistics: selected problems

Probability and Statistics—Selected Problems is a unique book for senior undergraduate and graduate students to fast review basic materials in Probability and Statistics. Descriptive statistics are presented first, and probability is reviewed secondly. Discrete and continuous distributions are presented. Sample and estimation with hypothesis testing are presented in the last two chapters. The solutions for proposed excises are listed for readers to references.

Conditional probability applied to the definition of limestone geochemical facies: A new Methodological Approach

A new method, based on linear correlation and phase diagrams was successfully developed for processes like the sedimentary process, where the deposition phase can have different time duration - represented by repeated values in a series - and where the erosion can play an important rule deleting values of a series. The sampling process itself can be the cause of repeated values - large strata twice sampled - or deleted values: tiny strata fitted between two consecutive samples. What we developed was a mathematical procedure which, based upon the depth chemical composition evolution, allows the establishment of frontiers as well as the periodicity of different sedimentary environments. The basic tool isn't more than a linear correlation analysis which allow us to detect the existence of eventual evolution rules, connected with cyclical phenomena within time series (considering the space assimilated to time), with the final objective of prevision. A very interesting discovery was the phenomenon of repeated sliding windows that represent quasi-cycles of a series of quasi-periods. An accurate forecast can be obtained if we are inside a quasi-cycle (it is possible to predict the other elements of the cycle with the probability related with the number of repeated and deleted points). We deal with an innovator methodology, reason why it's efficiency is being tested in some case studies, with remarkable results that shows it's efficacy. Keywords: sedimentary environments, sequence stratigraphy, data analysis, time-series, conditional probability.

Error control on spectral data of four-wave mixing based on a-SiC technology

In this paper we exploit the nonlinear property of the SiC multilayer devices to design an optical processor for error detection that enables reliable delivery of spectral data of four-wave mixing over unreliable communication channels. The SiC optical processor is realized by using double pin/pin a-SiC:H photodetector with front and back biased optical gating elements. Visible pulsed signals are transmitted together at different bit sequences. The combined optical signal is analyzed. Data show that the background acts as selector that picks one or more states by splitting portions of the input multi optical signals across the front and back photodiodes. Boolean operations such as EXOR and three bit addition are demonstrated optically, showing that when one or all of the inputs are present, the system will behave as an XOR gate representing the SUM. When two or three inputs are on, the system acts as AND gate indicating the present of the CARRY bit. Additional parity logic operations are performed using four incoming pulsed communication channels that are transmitted and checked for errors together. As a simple example of this approach, we describe an all-optical processor for error detection and then provide an experimental demonstration of this idea. (C) 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Optical processor based on a-SiC technology for spectral data error control

The SiC optical processor for error detection and correction is realized by using double pin/pin a-SiC:H photodetector with front and back biased optical gating elements. Data shows that the background act as selector that pick one or more states by splitting portions of the input multi optical signals across the front and back photodiodes. Boolean operations such as exclusive OR (EXOR) and three bit addition are demonstrated optically with a combination of such switching devices, showing that when one or all of the inputs are present the output will be amplified, the system will behave as an XOR gate representing the SUM. When two or three inputs are on, the system acts as AND gate indicating the present of the CARRY bit. Additional parity logic operations are performed by use of the four incoming pulsed communication channels that are transmitted and checked for errors together. As a simple example of this approach, we describe an all optical processor for error detection and correction and then, provide an experimental demonstration of this fault tolerant reversible system, in emerging nanotechnology.

Predicting Xerostomia induced by IMRT treatments: A logistic regression approach

Radiotherapy is one of the main treatments used against cancer. Radiotherapy uses radiation to destroy cancerous cells trying, at the same time, to minimize the damages in healthy tissues. The planning of a radiotherapy treatment is patient dependent, resulting in a lengthy trial and error procedure until a treatment complying as most as possible with the medical prescription is found. Intensity Modulated Radiation Therapy (IMRT) is one technique of radiation treatment that allows the achievement of a high degree of conformity between the area to be treated and the dose absorbed by healthy tissues. Nevertheless, it is still not possible to eliminate completely the potential treatments’ side-effects. In this retrospective study we use the clinical data from patients with head-and-neck cancer treated at the Portuguese Institute of Oncology of Coimbra and explore the possibility of classifying new and untreated patients according to the probability of xerostomia 12 months after the beginning of IMRT treatments by using a logistic regression approach. The results obtained show that the classifier presents a high discriminative ability in predicting the binary response “at risk for xerostomia at 12 months”

Modified Discrete PSO to Increase the Delivered Energy Probability in Distribution energy Systems

This paper proposes a PSO based approach to increase the probability of delivering power to any load point by identifying new investments in distribution energy systems. The statistical failure and repair data of distribution components is the main basis of the proposed methodology that uses a fuzzyprobabilistic modeling for the components outage parameters. The fuzzy membership functions of the outage parameters of each component are based on statistical records. A Modified Discrete PSO optimization model is developed in order to identify the adequate investments in distribution energy system components which allow increasing the probability of delivering power to any customer in the distribution system at the minimum possible cost for the system operator. To illustrate the application of the proposed methodology, the paper includes a case study that considers a 180 bus distribution network.

DC Fuzzy Multicriteria Approach to Increase the Probability of Delivering Power in Distribution Networks

This paper proposes a methodology to increase the probability of delivering power to any load point through the identification of new investments. The methodology uses a fuzzy set approach to model the uncertainty of outage parameters, load and generation. A DC fuzzy multicriteria optimization model considering the Pareto front and based on mixed integer non-linear optimization programming is developed in order to identify the adequate investments in distribution networks components which allow increasing the probability of delivering power to all customers in the distribution network at the minimum possible cost for the system operator, while minimizing the non supplied energy cost. To illustrate the application of the proposed methodology, the paper includes a case study which considers an 33 bus distribution network.

Increase of the Delivered Power Probability in Distribution Networks using Pareto DC Programming

A methodology to increase the probability of delivering power to any load point through the identification of new investments in distribution network components is proposed in this paper. The method minimizes the investment cost as well as the cost of energy not supplied in the network. A DC optimization model based on mixed integer non-linear programming is developed considering the Pareto front technique in order to identify the adequate investments in distribution networks components which allow increasing the probability of delivering power for any customer in the distribution system at the minimum possible cost for the system operator, while minimizing the energy not supplied cost. Thus, a multi-objective problem is formulated. To illustrate the application of the proposed methodology, the paper includes a case study which considers a 180 bus distribution network

Ventilação de locais afetos a serviços técnicos elétricos

A correta ventilação de locais afetos a serviços técnicos elétricos, nomeadamente postos de transformação e salas de grupos geradores, reveste-se de extrema importância como garantia da continuidade e qualidade do serviço prestado, durabilidade dos materiais e equipamentos e da segurança das instalações e utilizadores. A ventilação dos locais afetos a serviços técnicos elétricos pode ser natural ou mecânica, dependendo das suas caraterísticas e das necessidades de ar para ventilação e combustão, quando aplicável. Os técnicos responsáveis pelo projeto de instalações elétricas não detém, em regra, um conhecimento muito profundo sobre este tema, sendo os seus projetos realizados com base em especificações e metodologias gerais disponibilizadas pelos fabricantes e comercializadores dos materiais e equipamentos. O projeto de uma solução de ventilação para um local afeto a serviços técnicos eléctricos exige o conhecimento de todos os ganhos térmicos no interior do espaço, o conhecimento das soluções técnicas e tecnológicas de ventilação bem como as metodologias de dimensionamento aplicáveis a cada situação. Sendo a fase de projeto elétrico, em regra, uma atividade com prazos apertados, pode conduzir ao menosprezar de certos aspetos particulares que carecem de investigação e tempo para serem desenvolvidos, o que pode resultar em projetos e mapas de quantidades que apresentam desvios da solução ideal para o cliente, podendo resultar em investimentos mais elevados, quer na fase de execução, quer na fase de exploração das instalações. Neste sentido, pretendeu-se com o presente trabalho, tratar o tema da ventilação de locais afetos a serviços técnicos, atendendo ao enquadramento normativo e regulamentar das instalações, às soluções técnicas e tecnológicas disponíveis no mercado e às metodologias de dimensionamento, apresentadas pelos documentos normativos e regulamentares. Pretendeu-se também desenvolver uma ferramenta informática de auxilio ao dimensionamento das soluções de ventilação de locais afetos a serviços técnicas eléctricos destinados a postos de transformação e grupos geradores de modo a reduzir o tempo normalmente exigido por esta tarefa, o que se traduzirá numa maior rentabilidade do tempo de projeto, assim como a normalizar as soluções apresentadas e minimizar a probabilidade de erro do dimensionamento das soluções, reduzindo assim a probabilidade de gastos em “trabalhos a mais” provenientes de erros em projeto, poupança em materiais presentes no mapa de quantidades, maior eficácia na execução da empreitada, poupança em gastos durante a exploração e desta forma numa proximidade entre as partes interessadas com o dimensionamento da ventilação do espaço técnico elétrico.

Numerical methods and tangible interfaces for pollutant dispersion simulation

Dissertação apresentada para obtenção do Grau de Doutor em Engenharia do Ambiente, pela Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia

Erros de medicação num serviço de internamento hospitalar : estudo de prevalência

RESUMO - Os erros de medicação (EM) são uma das principais causas de eventos adversos, estimando-se serem as causas não relacionados com procedimentos cirúrgicos mais frequentes. Estes podem ser classificados por erros latentes ou erros ativos. Objetivos Definiram-se como principais objetivos deste estudo, determinar a prevalência de EM ativos num internamento hospitalar evitados e não evitados, nos momentos da prescrição escrita, transcrição, distribuição e administração, bem como a sua relação com algumas variáveis, como o Grupo farmacológico, Via de administração, Especialidade médica do prescritor e Área médica do médico responsável pelo episódio de internamento (MREI). Metodologia O estudo foi do tipo observacional descritivo de abordagem quantitativa, transversal com recrutamento prospetivo. Foi utilizado um instrumento de observação (check-list) para o registo de todos os EM e das variáveis em cada fase. Resultados Foram observadas 513 unidades amostrais com uma prevalência de 98,2% de EM, num total de 1655 erros dos quais 75% foram evitados. Nas variáveis Grupo farmacológico e Área médica do MREI não foram encontradas relações estatísticas relevantes. Obteve-se um OR=1,97 [1,18;3,27] para medicamentos orais quando comparados aos endovenosos nos erros de prescrição (EP) e um OR=7 [2,77;17,71] quando comparados com os endovenosos na transcrição dos Serviços Farmacêuticos (TSF). A anestesiologia apresentou um OR=0,41 [0,27;0,63] nos EP comparativamente às outras especialidades. Do total de EM observaram-se 30% de erros de prescrição (EP), 20% de erros na transcrição do internamento, 36% de erros na TSF, 2% de erros na distribuição e 12% de erros na administração. Os erros mais prevalentes foram a identificação do prescritor ilegível (16%) e a identificação do doente omissa na TSF (16%). Conclusão Apesar da elevada prevalência de EM observados, a maioria dos erros foram corrigidos e não chegaram ao doente. Tendo em conta os EM observados, a utilização de meios informáticos e o aumento da adesão dos enfermeiros ao procedimento de identificação dos doentes poderão permitir a redução do número de EM em cerca de 80%, reduzindo também a probabilidade de ocorrência de eventos adversos relacionados com os erros ativos na utilização de medicamentos.