876 resultados para bigdata, data stream processing, dsp, apache storm, cyber security


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Dissertação para obtenção do Grau de Mestre em Engenharia Informática

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Inspired by the relational algebra of data processing, this paper addresses the foundations of data analytical processing from a linear algebra perspective. The paper investigates, in particular, how aggregation operations such as cross tabulations and data cubes essential to quantitative analysis of data can be expressed solely in terms of matrix multiplication, transposition and the Khatri–Rao variant of the Kronecker product. The approach offers a basis for deriving an algebraic theory of data consolidation, handling the quantitative as well as qualitative sides of data science in a natural, elegant and typed way. It also shows potential for parallel analytical processing, as the parallelization theory of such matrix operations is well acknowledged.

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A l’actualitat trobem nombrosos sistemes aquàtics alterats per diferents efectes d’origen antropogènic. Per tal d’evitar i/o disminuir aquests efectes va sorgir la Directiva Marc de l’Aigua (2000/60/CE) essent aquest un dels seus objectius. Aquest article descriu el funcionament hidrogeològic i l’estat ecològic de la riera de Santa Coloma, afluent de la Tordera (NE Catalunya), des de pràcticament el seu inici a Santa Coloma de Farners (Girona) fins a Riudarenes (Girona). S’intenta establir les possibles influències del funcionament hidrogeològic en l’estat ecològic a partir de dades piezomètriques, de cabal, fisicoquímiques i biològiques. Per aquesta última part s’han utilitzat indicadors biològics com l’índex d’hàbitat fluvial (IHF), avaluant l’hàbitat físic; l’índex de Qualitat del Bosc de Ribera (QBR), per determinar la qualitat ecològica de la zona de ribera; l’índex Biological Monitorig Working Party per a conques internes de Catalunya (BMWPC), per avaluar les diferents famílies de macroinvertebrats que hi viuen i l’índex ECOSTRIMED, una síntesi dels dos índex anteriors.

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Over the past decades, several sensitive post-electrophoretic stains have been developed for an identification of proteins in general, or for a specific detection of post-translational modifications such as phosphorylation, glycosylation or oxidation. Yet, for a visualization and quantification of protein differences, the differential two-dimensional gel electrophoresis, termed DIGE, has become the method of choice for a detection of differences in two sets of proteomes. The goal of this review is to evaluate the use of the most common non-covalent and covalent staining techniques in 2D electrophoresis gels, in order to obtain maximal information per electrophoresis gel and for an identification of potential biomarkers. We will also discuss the use of detergents during covalent labeling, the identification of oxidative modifications and review influence of detergents on finger prints analysis and MS/MS identification in relation to 2D electrophoresis.

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Yleisesti tiedetään hitsin pintageometrian vaikuttavan rakenteen väsymislujuuteen. Nopean, edullisen ja luotettavan pintageometrian mittausmenetelmän kehittäminen on askel kohti tarkempaa ja varmempaa rakenteen väsymislujuuden tarkastelua. Tässä työssä on tutkittu hitsejä, joiden pinnan geometria on mitattu norjalaisen SINTEF -yrityksen kehittämällä rakenteellisen valon menetelmällä. Osana työtä kehitettiin MatLab -pohjainen ohjelma, jolla jälkikäsitellään mittauksesta saadut x-y-z -mittapisteet. Mittausdatan jälkikäsittelyssä saadaan mittauksesta määritettyähitsin reunan pyöristys, liittymäkulma, a-mitta, reunahaava ja kateettisuhde. Kehitettyä menetelmää käyttämällä mitattiin lähes 300 voimaakantamatontaristiliitoksen hitsiä. Mittaustuloksia verrattiin vastaavista kappaleista tehtyihin hiemittauksiin. Manuaalisen hieestä tehdyn mittauksen havaittiin olevan tarkempi ja pystyttiin havaitsemaan paikallisempia muotoja. Rakenteellisen valon mittauksissa tapahtunut heijastelu saatiin pienenemään käsittelemällä mitattava pinta mattavalkoisella maalilla. Rakenteellisen valon mittatarkkuudeksi saatiin noin 0,2 mm. Pohjautuen mitattuun hitsin reunan pyöristykseen ja liittymäkulmaan voidaan yksinkertaista kaavaa käyttämällä laskea hitsin jännityskonsentraatio ja näin saada alkuarvaus väsymislujuudelle. Myös muiden tekijöiden tiedetään vaikuttavan hitsin väsymislujuuteen, joten pyöristyksen ja liittymäkulman avulla tehdyt arviot eivät ole absoluuttisen oikeita. Tämä havaittiin väsytyskokeilla, joista yhdessä väsymisvaurio ei syntynyt suurimmankaan jännityskonsentraation alueella.

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Tiedonhallinta on yritykselle yhtä tärkeää kuin esimerkiksi materiaalien- tai henkilöstönhallinta. Tällä hetkellä yritykset eivät kuitenkaan vieläusein hyödynnä kaikkia tietotekniikan tarjoamia mahdollisuuksia. Useat valmistajat tekevät laitteita jotka on suunniteltu toimimaan vaativissa olosuhteissa. Myös tuotannonohjaus-ohjelmistoissa on alettu kiinnittää entistä enemmän huomiota niiden ulottumisessa tuotantotyöntekijöiden käyttöön asti. Tietoteknisten ratkaisuiden suorituskyky ei enää aseta rajoituksia tuotantotiedon hallinnan kehittämiselle. Työssä kartoitettiin valmistavan teollisuuden tuotantotiedon hallinnan tietoteknisiä ratkaisuja ja niiden tarjoamia mahdollisuuksia tiedon keräämiseen, käsittelyyn ja välittämiseen oikeaan paikkaan oikeaan aikaan.Erityistä huomiota kiinnitettiin ratkaisujen ulottuvuudesta tuotantotyöntekijöille asti. Tutkimus on osa Tuotantotiedon Hallinta-tutkimushanketta ja työn toteutuksessa huomioitiin tutkimushankkeessa mukana olevien yritysten tarpeita tuotantotiedon hallinnan apuvälineille. Tietoteknisten ratkaisuiden perustekniikka on jo kypsää ja se ei aseta rajoituksia pilottihankkeen toteutukselle. Työssä kartoitettiin myös pilottihankkeeseen soveltuvia, markkinoilla olevia tuotannonohjausohjelmistoja. Ohjelmistot vaativat kuitenkin vielä jatkokehitystä täyttääkseen kaikki hankkeen tavoitteet.

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Työssä tutkittiin IFC (Industrial Foundation Classes)-tietomallin mukaisen tiedoston jäsentämistä, tiedon jatkoprosessointia ja tiedonsiirtoa sovellusten välillä. Tutkittiin, mitä vaihtoehtoja tiedon siirron toteuttamiseksi ohjelmallisesti on ja mihin suuntaan tiedon siirtäminen on menossa tulevaisuudessa. Soveltavassa osassa toteutettiin IFC-standardin mukaisen ISO10303-tiedoston (Osa 21) jäsentäminen ja tulkitseminen XML-muotoon. Sovelluksessa jäsennetään ja tulkitaan CAD-ohjelmistolla tehty IFC-tiedosto C# -ohjelmointikielellä ja tallennetaan tieto XML-tietokantaan kustannuslaskentaohjelmiston luettavaksi.

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Genetic algorithm was used for variable selection in simultaneous determination of mixtures of glucose, maltose and fructose by mid infrared spectroscopy. Different models, using partial least squares (PLS) and multiple linear regression (MLR) with and without data pre-processing, were used. Based on the results obtained, it was verified that a simpler model (multiple linear regression with variable selection by genetic algorithm) produces results comparable to more complex methods (partial least squares). The relative errors obtained for the best model was around 3% for the sugar determination, which is acceptable for this kind of determination.

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The performances of eight kinds of insulators from electrical distribution lines in Salvador-BA, Brazil, were evaluated considering the chemical and physical local environmental pollution. The parameters that were chosen as characteristic for the insulators' properties were leakage current and partial electrical discharge. A data storage processing system and a communication link to the lab were built for data acquisition. The results show that the main contribution to the poor performance of the insulators is settleable magnetite particulate matter on the insulator in addition to the long term wetness time, t4.

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The Fog of Cyber Defence is a book about cyberspace, cyber security and cyberwar. The book is untangling the ties of the Nordic states with the important, yet complex and foggy phenomenon of cyber. It is adding important perspectives into the ongoing discussion about cyber security and creating room for the deepening of co-operation amongst the Nordic states. The articles in the book contribute to the debate over the implications of cyber for national security and the armed forces. The authors, who come from various professional backgrounds, appreciate and welcome further discussion and comments on the very important themes that impact our everyday lives.

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Yeast multi-copy vectors carrying the formaldehyde-resistance marker gene SFA have proved to be a valuable tool for research on industrially used strains of Saccharomyces cerevisiae. The genetics of these strains is often poorly understood, and for various reasons it is not possible to simply subject these strains to protocols of genetic engineering that have been established for laboratory strains of S. cerevisiae. We tested our vectors and protocols using 10 randomly picked baker's and wine yeasts all of which could be transformed by a simple protocol with vectors conferring hyperresistance to formaldehyde. The application of formaldehyde as a selecting agent also offers the advantage of its biodegradation to CO2 during fermentation, i.e., the selecting agent will be consumed and therefore its removal during down-stream processing is not necessary. Thus, this vector provides an expression system which is simple to apply and inexpensive to use

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Inside cyber security threats by system administrators are some of the main concerns of organizations about the security of systems. Since operating systems are controlled and managed by fully trusted administrators, they can negligently or intentionally break the information security and privacy of users and threaten the system integrity. In this thesis, we propose some solutions for enhancing the security of Linux OS by restricting administrators’ access to superuser’s privileges while they can still manage the system. We designed and implemented an interface for administrators in Linux OS called Linux Admins’ User Interface (LAUI) for managing the system in secure ways. LAUI along with other security programs in Linux like sudo protect confidentiality and integrity of users’ data and provide a more secure system against administrators’ mismanagement. In our model, we limit administrators to perform managing tasks in secure manners and also make administrators accountable for their acts. In this thesis we present some scenarios for compromising users’ data and breaking system integrity by system administrators in Linux OS. Then we evaluate how our solutions and methods can secure the system against these administrators’ mismanagement.

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La version intégrale de ce mémoire est disponible uniquement pour consultation individuelle à la Bibliothèque de musique de l'Université de Montréal (www.bib.umontreal.ca/MU).

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Learning Disability (LD) is a general term that describes specific kinds of learning problems. It is a neurological condition that affects a child's brain and impairs his ability to carry out one or many specific tasks. The learning disabled children are neither slow nor mentally retarded. This disorder can make it problematic for a child to learn as quickly or in the same way as some child who isn't affected by a learning disability. An affected child can have normal or above average intelligence. They may have difficulty paying attention, with reading or letter recognition, or with mathematics. It does not mean that children who have learning disabilities are less intelligent. In fact, many children who have learning disabilities are more intelligent than an average child. Learning disabilities vary from child to child. One child with LD may not have the same kind of learning problems as another child with LD. There is no cure for learning disabilities and they are life-long. However, children with LD can be high achievers and can be taught ways to get around the learning disability. In this research work, data mining using machine learning techniques are used to analyze the symptoms of LD, establish interrelationships between them and evaluate the relative importance of these symptoms. To increase the diagnostic accuracy of learning disability prediction, a knowledge based tool based on statistical machine learning or data mining techniques, with high accuracy,according to the knowledge obtained from the clinical information, is proposed. The basic idea of the developed knowledge based tool is to increase the accuracy of the learning disability assessment and reduce the time used for the same. Different statistical machine learning techniques in data mining are used in the study. Identifying the important parameters of LD prediction using the data mining techniques, identifying the hidden relationship between the symptoms of LD and estimating the relative significance of each symptoms of LD are also the parts of the objectives of this research work. The developed tool has many advantages compared to the traditional methods of using check lists in determination of learning disabilities. For improving the performance of various classifiers, we developed some preprocessing methods for the LD prediction system. A new system based on fuzzy and rough set models are also developed for LD prediction. Here also the importance of pre-processing is studied. A Graphical User Interface (GUI) is designed for developing an integrated knowledge based tool for prediction of LD as well as its degree. The designed tool stores the details of the children in the student database and retrieves their LD report as and when required. The present study undoubtedly proves the effectiveness of the tool developed based on various machine learning techniques. It also identifies the important parameters of LD and accurately predicts the learning disability in school age children. This thesis makes several major contributions in technical, general and social areas. The results are found very beneficial to the parents, teachers and the institutions. They are able to diagnose the child’s problem at an early stage and can go for the proper treatments/counseling at the correct time so as to avoid the academic and social losses.

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The thesis comprises a set of experiments mainly focused on the improvement of L-glutamic acid fennentation. Much attention has been given to use of locally available raw materials, culturing the organism on inert solid substrates and also immobilization of the bacterial cells from the view point of long term utilization of biocatalyst and continuous operation of the stabilized system. Studies were also carried out for the down stream processing for the extraction and purification of L-glutamic acid. An attempt was made to study the morphological features of the microorganism including the cell premeability. In relation with the accumulation of glutamic acid within the cells an approach was made to study the behaviour of the Brevibacterium cells when they are exposed to hyper osmotic environment. Attempts were also made to study the requirement of iron and production of siderophores by this microbial strain. The search for a suitable nitrogen source for glutamate fermentation ended with a promising result that they got a potent urease activity and it can be utilized for many biotransfonnation studies. The entire thesis is presented in three sections, viz. introductory section, experimental section and the concluding section