Myynnin raportoinnin kehittäminen kassajärjestelmähankkeen yhteydessä

Raportointi liittyy kiinteänä osana yrityksen jokapäiväiseen toimintaan. Raportoinnin sisältö ja muoto vaihtelevat organisaatiotasosta riippuen päivittäisen toiminnan tarkkailusta kuukausittaiseen tulosraportointiin. Raportointi voidaan toteuttaa operatiivisten järjestelmien kautta tai nykyisin entistä suositumpana vaihtoehtona on keskitetty raportointi. Uuden raportointijärjestelmän hankintaprojekti on usein koko yritystä koskeva investointi. Jos raportointijärjestelmällä on tarkoitus raportoida sekä operatiivista toimintaa että johdon tarpeita, on sen mukauduttava moneen tarkoitukseen. Aluksi on tärkeää määritellä tietotarpeet ja tavoitteet projektille unohtamatta riskien- ja projektinhallintaa sekä investointilaskelmia. Jos raportoidaan myös yrityksen ulkopuolelle, tulee ottaa huomioon mahdolliset säädökset sekä tietoturvallisuusnäkökulmat. Myös yrityksen toimintatapoja ja – prosesseja on syytä tarkastella kriittisesti ennen järjestelmähankintaa jolloin voidaan havaita uusia raportointikohteita, tai toimintatapoja voidaan uudelleen organisoida parhaan toimintatavan saavuttamiseksi. Raportointijärjestelmää hankittaessa turvaudutaan usein ulkopuoliseen ohjelmistotoimittajaan, joka integroi ja räätälöi järjestelmän yrityksen omiin tarpeisiin soveltuvaksi. Raportointijärjestelmän hankintaprojekti ei lopu käyttöönottoon vaan projektin alussa on huomioitava myös järjestelmän huomattavasti pisin elinkaari eli käyttö ja ylläpito. Raportointi-, kuten ei moni muukaan tietojärjestelmä, ole ikinä valmis sillä tarpeet ja toimintatavat muuttuvat ajan kuluessa ja käyttäjien tietoisuus lisääntyy.

Prediction in transformed images

The study is related to lossless compression of greyscale images. The goal of the study was to combine two techniques of lossless image compression, i.e. Integer Wavelet Transform and Differential Pulse Code Modulation to attain better compression ratio. This is an experimental study, where we implemented Integer Wavelet Transform, Differential Pulse Code Modulation and an optimized predictor model using Genetic Algorithm. This study gives encouraging results for greyscale images. We achieved a better compression ration in term of entropy for experiments involving quadrant of transformed image and using optimized predictor coefficients from Genetic Algorithm. In an other set of experiments involving whole image, results are encouraging and opens up many areas for further research work like implementing Integer Wavelet Transform on multiple levels and finding optimized predictor at local levels.

Development of phase retrieval algorithm and techniques for optical spectrum analysis

Coherent anti-Stokes Raman scattering is the powerful method of laser spectroscopy in which significant successes are achieved. However, the non-linear nature of CARS complicates the analysis of the received spectra. The objective of this Thesis is to develop a new phase retrieval algorithm for CARS. It utilizes the maximum entropy method and the new wavelet approach for spectroscopic background correction of a phase function. The method was developed to be easily automated and used on a large number of spectra of different substances.. The algorithm was successfully tested on experimental data.

Wonderalp. Une science émerveillée. Les Alpes et la culture de la curiosité

WonderAlp est un cabinet de curiosités réalisé à partir d'une documentation provenant d'anciens ouvrages de voyages dans les Alpes. L'app présente des images de dragons, de fossiles, de cristaux, de plantes, d'animaux, de phénomènes naturels. Elle donne des clés pour retrouver et comprendre l'émerveillement devant la nature qui animait la science à l'époque de la curiosité (XVIe-XVIIIe siècles). WonderAlp is a cabinet of curiosities that transforms your iPad or Android into an Early Modern Wunderkammer. It displays objects discovered in the Alps during the early period of exploration. These are grouped under three titles : "Dragons of the Alps", "Fossils and Crystals", "Plants to Landscapes". It helps apprehend a natural world that is both rational and wonderful, scholarly and popular, unlike the compartmentalized thinking of modern life.

Wavelets in real-time paper web analysis

Online paper web analysis relies on traversing scanners that criss-cross on top of a rapidly moving paper web. The sensors embedded in the scanners measure many important quality variables of paper, such as basis weight, caliper and porosity. Most of these quantities are varying a lot and the measurements are noisy at many different scales. The zigzagging nature of scanning makes it difficult to separate machine direction (MD) and cross direction (CD) variability from one another. For improving the 2D resolution of the quality variables above, the paper quality control team at the Department of Mathematics and Physics at LUT has implemented efficient Kalman filtering based methods that currently use 2D Fourier series. Fourier series are global and therefore resolve local spatial detail on the paper web rather poorly. The target of the current thesis is to study alternative wavelet based representations as candidates to replace the Fourier basis for a higher resolution spatial reconstruction of these quality variables. The accuracy of wavelet compressed 2D web fields will be compared with corresponding truncated Fourier series based fields.

Developing a conceptual framework to analyse professionalisation in sport federations

Existing research on sport organisations is imprecise in the use of the concept 'professionalisation'. Furthermore, we do not know if analytical concepts of professionalisation correspond with the understanding in practice. This study explores the perceptions of practitioners and proposes a framework to analyse professionalisation in national sport federations. Expert interviews were conducted with six key people from Swiss national sport federations and then analysed these for characteristics of professionalisation using a hermeneutic approach. The characteristics were divided into three areas: (1) changed management philosophy, (2) functional differentiation and specialisation, and (3) application of management tools. However, professionalisation is primarily perceived to be a matter of 'professional' attitude that transforms into federation culture. The practitioners disclose an ambivalent view of professionalisation, e.g. business-like culture vs. voluntarism, for-profit vs. non-profit orientation, autonomy vs. control. A framework is developed that synthesises analytical concepts and practitioners' perceptions to support future comprehensive research into causes, forms and consequences of professionalisation in national sport federations.

Reconstruction and analysis of surface variation using photometric stereo

In many industrial applications, accurate and fast surface reconstruction is essential for quality control. Variation in surface finishing parameters, such as surface roughness, can reflect defects in a manufacturing process, non-optimal product operational efficiency, and reduced life expectancy of the product. This thesis considers reconstruction and analysis of high-frequency variation, that is roughness, on planar surfaces. Standard roughness measures in industry are calculated from surface topography. A fast and non-contact method to obtain surface topography is to apply photometric stereo in the estimation of surface gradients and to reconstruct the surface by integrating the gradient fields. Alternatively, visual methods, such as statistical measures, fractal dimension and distance transforms, can be used to characterize surface roughness directly from gray-scale images. In this thesis, the accuracy of distance transforms, statistical measures, and fractal dimension are evaluated in the estimation of surface roughness from gray-scale images and topographies. The results are contrasted to standard industry roughness measures. In distance transforms, the key idea is that distance values calculated along a highly varying surface are greater than distances calculated along a smoother surface. Statistical measures and fractal dimension are common surface roughness measures. In the experiments, skewness and variance of brightness distribution, fractal dimension, and distance transforms exhibited strong linear correlations to standard industry roughness measures. One of the key strengths of photometric stereo method is the acquisition of higher frequency variation of surfaces. In this thesis, the reconstruction of planar high-frequency varying surfaces is studied in the presence of imaging noise and blur. Two Wiener filterbased methods are proposed of which one is optimal in the sense of surface power spectral density given the spectral properties of the imaging noise and blur. Experiments show that the proposed methods preserve the inherent high-frequency variation in the reconstructed surfaces, whereas traditional reconstruction methods typically handle incorrect measurements by smoothing, which dampens the high-frequency variation.

Fourier self-deconvolution in coherent anti-Stokes Raman scattering spectrum analysis

Coherent anti-Stokes Raman scattering (CARS) microscopy is rapidly developing into a unique microscopic tool in biophysics, biology and the material sciences. The nonlinear nature of CARS spectroscopy complicates the analysis of the received spectra. There were developed mathematical methods for signal processing and for calculations spectra. Fourier self-deconvolution is a special high pass FFT filter which synthetically narrows the effective trace bandwidth features. As Fourier self-deconvolution can effectively reduce the noise, which may be at a higher spatial frequency than the peaks, without losing peak resolution. The idea of the work is to experiment the possibility of using wavelet decomposition in spectroscopic for background and noise removal, and Fourier transformation for linenarrowing.

Minimum-uncertaity states and pseudoclassical dynamics. II

The set of initial conditions for which the pseudoclassical evolution algorithm (and minimality conservation) is verified for Hamiltonians of degrees N (N>2) is explicitly determined through a class of restrictions for the corresponding classical trajectories, and it is proved to be at most denumerable. Thus these algorithms are verified if and only if the system is quadratic except for a set of measure zero. The possibility of time-dependent a-equivalence classes is studied and its physical interpretation is presented. The implied equivalence of the pseudoclassical and Ehrenfest algorithms and their relationship with minimality conservation is discussed in detail. Also, the explicit derivation of the general unitary operator which linearly transforms minimum-uncertainty states leads to the derivation, among others, of operators with a general geometrical interpretation in phase space, such as rotations (parity, Fourier).

Theoretical investigation of electronic excitation transfer between chlorophylls in light-harvesting antenna of photosystem ii using quantum computers

The excitation energy transfer between chlorophylls in major and minor antenna complexes of photosystem II (PSII) was investigated using quantum Fourier transforms. These transforms have an important role in the efficiency of quantum algorithms of quantum computers. The equation 2n=N was used to make the connection between excitation energy transfers using quantum Fourier transform, where n is the number of qubits required for simulation of transfers and N is the number of chlorophylls in the antenna complexes.

Kaupungeista, kansalaisista ja globalisaatiosta

Kirjallisuusarvostelu

A Technique for Digital Color Image Watermarking Using ICA

With the increase of use of digital media the need for the methods of multimedia protection becomes extremely important. The number of the solutions to the problem from encryption to watermarking is large and is growing every year. In this work digital image watermarking is considered, specifically a novel method of digital watermarking of color and spectral images. An overview of existing methods watermarking of color and grayscale images is given in the paper. Methods using independent component analysis (ICA) for detection and the ones using discrete wavelet transform (DWT) and discrete cosine transform (DCT) are considered in more detail. A novel method of watermarking proposed in this paper allows embedding of a color or spectral watermark image into color or spectral image consequently and successful extraction of the watermark out of the resultant watermarked image. A number of experiments have been performed on the quality of extraction depending on the parameters of the embedding procedure. Another set of experiments included the test of the robustness of the algorithm proposed. Three techniques have been chosen for that purpose: median filter, low-pass filter (LPF) and discrete cosine transform (DCT), which are a part of a widely known StirMark - Image Watermarking Robustness Test. The study shows that the proposed watermarking technique is fragile, i.e. watermark is altered by simple image processing operations. Moreover, we have found that the contents of the image to be watermarked do not affect the quality of the extraction. Mixing coefficients, that determine the amount of the key and watermark image in the result, should not exceed 1% of the original. The algorithm proposed has proven to be successful in the task of watermark embedding and extraction.

Probabilistic structure of an annual extreme rainfall series of a coastal area of the State of São Paulo, Brazil

This study aimed to describe the probabilistic structure of the annual series of extreme daily rainfall (Preabs), available from the weather station of Ubatuba, State of São Paulo, Brazil (1935-2009), by using the general distribution of extreme value (GEV). The autocorrelation function, the Mann-Kendall test, and the wavelet analysis were used in order to evaluate the presence of serial correlations, trends, and periodical components. Considering the results obtained using these three statistical methods, it was possible to assume the hypothesis that this temporal series is free from persistence, trends, and periodicals components. Based on quantitative and qualitative adhesion tests, it was found that the GEV may be used in order to quantify the probabilities of the Preabs data. The best results of GEV were obtained when the parameters of this function were estimated using the method of maximum likelihood. The method of L-moments has also shown satisfactory results.

Avaliação da dinâmica do cultivo da cana-de-açúcar no estado de São Paulo por meio de perfis temporais de dados MODIS

RESUMO As imagens do sensor MODIS fornecem dados que cobrem áreas de grande extensão com alta periodicidade, características fundamentais que possibilitam o monitoramento de culturas agrícolas estratégicas para o Brasil, como as da cana-de-açúcar. Técnicas matemáticas vêm sendo empregadas no estudo de longas séries temporais de índices de vegetação, baseado nas mudanças que acontecem na superfície terrestre, o que facilita o entendimento da dinâmica temporal. O objetivo deste trabalho foi realizar a avaliação da dinâmica do cultivo da cana-de-açúcar no Estado de São Paulo por meio de perfis temporais de dados MODIS, ao longo das safras de 2004/2005 a 2011/2012. A Transformada de Wavelet Daubechies 8 aplicada à série temporal do EVI2 do MODIS mostrou ser uma técnica robusta, pois conseguiu eliminar os ruídos, propiciando, assim, melhor captura das tendências dos ciclos de desenvolvimento da cana-de-açúcar em toda a série temporal. Os perfis temporais suavizados do EVI2 puderam ser utilizados no monitoramento do cultivo da cana-de-açúcar para identificar as épocas de mudanças do uso do solo e da cobertura da terra, acompanhando as variações sazonais dos ciclos fenológicos desde o plantio ou rebrota das soqueiras até à colheita.

Collagen arrangement in hepatic granuloma in mice infected with Schistosoma mansoni: dependence on fiber radiation centers

The collagen structure of isolated and in situ liver granuloma from Swiss Webster mice infected with Schistosoma mansoni was sequentially and three-dimensionally analyzed during different times of infection (early acute, acute, transitional acute-chronic, and chronic phases) by laser scanning confocal microscopy and electron scanning variable vacuum microscopy. The initial granuloma structure is characterized by vascular collagen residues and by anchorage points (or fiber radiation centers), from where collagenous fibers are angularly shed and self-assembled. During the exudative-productive stage, the self-assembly of these fibers minimizes energy and mass through continuous tension and focal compression. The curvature or angles between collagen fibers probably depends on the fibroblastic or myofibroblastic organization of stress fibers. Gradually, the loose unstable lattice of the exudative-productive stage transforms into a highly packed and stable architecture as a result of progressive compactness. The three-dimensional architecture of granulomas provides increased tissue integrity, efficient distribution of soluble compounds and a haptotactic background to the cells.