Evaluation of the spot urine sampling technique to assess urinary pseudouridine excretion in lactating dairy cows

Selostus: Mahdollisuus lyhytaikaisen virtsankeruun käyttöön lypsylehmien virtsan pseudouridiinin erityksen määrittämisessä

A practical right-sided incisional gastropexy technique for treatment or prevention of gastric dilatation volvulus

Yhteenveto: Käytännöllinen oikeanpuoleinen viiltogastropeksia mahalaukun laajentumisen ja kiertymisen hoitona tai ennaltaehkäisynä

Stem straightness and compression wood in a 22-year-old stand of container-grown Scots pine trees

Abstract

Effect of compression wood on surface roughness and surface absorption of medium density fiberboard

Abstract

An Image Enhancement Technique using MTF of Human eye

Image filtering is a highly demanded approach of image enhancement in digital imaging systems design. It is widely used in television and camera design technologies to improve the quality of an output image to avoid various problems such as image blurring problem thatgains importance in design of displays of large sizes and design of digital cameras. This thesis proposes a new image filtering method basedon visual characteristics of human eye such as MTF. In contrast to the traditional filtering methods based on human visual characteristics this thesis takes into account the anisotropy of the human eye vision. The proposed method is based on laboratory measurements of the human eye MTF and takes into account degradation of the image by the latter. This method improves an image in the way it will be degraded by human eye MTF to give perception of the original image quality. This thesis gives a basic understanding of an image filtering approach and the concept of MTF and describes an algorithm to perform an image enhancement based on MTF of human eye. Performed experiments have shown quite good results according to human evaluation. Suggestions to improve the algorithm are also given for the future improvements.

Selecting Wavelet Filter for Compression of Spectra from Multispectral Images

The problem of selecting anappropriate wavelet filter is always present in signal compression based on thewavelet transform. In this report, we propose a method to select a wavelet filter from a predefined set of filters for the compression of spectra from a multispectral image. The wavelet filter selection is based on the Learning Vector Quantization (LVQ). In the training phase for the test images, the best wavelet filter for each spectrum has been found by a careful compression-decompression evaluation. Certain spectral features are used in characterizing the pixel spectra. The LVQ is used to form the best wavelet filter class for different types of spectra from multispectral images. When a new image is to be compressed, a set of spectra from that image is selected, the spectra are classified by the trained LVQand the filter associated to the largest class is selected for the compression of every spectrum from the multispectral image. The results show, that almost inevery case our method finds the most suitable wavelet filter from the pre-defined set for the compression.

Multispectral image compression using the wavelet transform

Multispectral images contain information from several spectral wavelengths and currently multispectral images are widely used in remote sensing and they are becoming more common in the field of computer vision and in industrial applications. Typically, one multispectral image in remote sensing may occupy hundreds of megabytes of disk space and several this kind of images may be received from a single measurement. This study considers the compression of multispectral images. The lossy compression is based on the wavelet transform and we compare the suitability of different waveletfilters for the compression. A method for selecting a wavelet filter for the compression and reconstruction of multispectral images is developed. The performance of the multidimensional wavelet transform based compression is compared to other compression methods like PCA, ICA, SPIHT, and DCT/JPEG. The quality of the compression and reconstruction is measured by quantitative measures like signal-to-noise ratio. In addition, we have developed a qualitative measure, which combines the information from the spatial and spectral dimensions of a multispectral image and which also accounts for the visual quality of the bands from the multispectral images.

Spray coating technique asa surface treatment for woodcontaining paper grades

The objective of this work was to introduce the emerging non-contacting spray coating process and compare it to the existing coating techniques. Particular emphasis was given to the details of the spraying process of paper coating colour and the base paper requirements set by the new coating method. Spraying technology itself is nothing new, but the atomisation process of paper coating colour is quite unknown to the paper industry. The differences between the rheology of painting and coating colours make it very difficult to utilise the existing information from spray painting research. Based on the trials, some basic conclusion can be made:The results of this study suggest that the Brookfield viscosity of spray coating colour should be as low as possible, presently a 50 mPas level is regarded as an optimum. For the paper quality and coater runnability, the solids level should be as high as possible. However, the graininess of coated paper surface and the nozzle wear limits the maximum solids level to 60 % at the moment. Most likelydue to the low solids and low viscosity of the coating colour the low shear Brookfield viscosity correlates very well with the paper and spray fan qualities. High shear viscosity is also important, but yet less significant than the low shear viscosity. Droplet size should be minimized and besides keeping the brrokfield viscosity low that can be helped by using a surfactant or dispersing agent in the coating colour formula. Increasing the spraying pressure in the nozzle can also reduce the droplet size. The small droplet size also improves the coating coverage, since there is hardly any levelling taking place after the impact with the base paper. Because of the lack of shear forces after the application, the pigment particles do not orientate along the paper surface. Therefore the study indicates that based on the present know-how, no quality improvements can be obtained by the use of platy type of pigments. The other disadvantage of them is the rapid deterioration of the nozzle lifetime. Further research in both coating colour rheology and nozzle design may change this in the future, but so far only round shape pigments, like typically calcium carbonate is, can be used with spray coating. The low water retention characteristics of spray coating, enhanced by the low solids and low viscosity, challenge the base paper absorption properties.Filler level has to be low not to increase the number of small pores, which have a great influence on the absorption properties of the base paper. Hydrophobic sizing reduces this absorption and prevents binder migration efficiently. High surface roughness and especially poor formation of the base paper deteriorate thespray coated paper properties. However, pre-calendering of the base paper does not contribute anything to the finished paper quality, at least at the coating colour solids level below 60 %. When targeting a standard offset LWC grade, spraycoating produces similar quality to film coating, but yet blade coating being on a slightly better level. However, because of the savings in both investment and production costs, spray coating may have an excellent future ahead. The porousnature of the spray coated surface offers an optimum substrate for the coldset printing industry to utilise the potential of high quality papers in their business.

Lossless compression of hyperspectral images

Technological progress has made a huge amount of data available at increasing spatial and spectral resolutions. Therefore, the compression of hyperspectral data is an area of active research. In somefields, the original quality of a hyperspectral image cannot be compromised andin these cases, lossless compression is mandatory. The main goal of this thesisis to provide improved methods for the lossless compression of hyperspectral images. Both prediction- and transform-based methods are studied. Two kinds of prediction based methods are being studied. In the first method the spectra of a hyperspectral image are first clustered and and an optimized linear predictor is calculated for each cluster. In the second prediction method linear prediction coefficients are not fixed but are recalculated for each pixel. A parallel implementation of the above-mentioned linear prediction method is also presented. Also,two transform-based methods are being presented. Vector Quantization (VQ) was used together with a new coding of the residual image. In addition we have developed a new back end for a compression method utilizing Principal Component Analysis (PCA) and Integer Wavelet Transform (IWT). The performance of the compressionmethods are compared to that of other compression methods. The results show that the proposed linear prediction methods outperform the previous methods. In addition, a novel fast exact nearest-neighbor search method is developed. The search method is used to speed up the Linde-Buzo-Gray (LBG) clustering method.

Wavelet Filter Parameterization for Compression of Spectral Images

Vaatimus kuvatiedon tiivistämisestä on tullut entistä ilmeisemmäksi viimeisen kymmenen vuoden aikana kuvatietoon perustuvien sovellutusten myötä. Nykyisin kiinnitetään erityistä huomiota spektrikuviin, joiden tallettaminen ja siirto vaativat runsaasti levytilaa ja kaistaa. Aallokemuunnos on osoittautunut hyväksi ratkaisuksi häviöllisessä tiedontiivistämisessä. Sen toteutus alikaistakoodauksessa perustuu aallokesuodattimiin ja ongelmana on sopivan aallokesuodattimen valinta erilaisille tiivistettäville kuville. Tässä työssä esitetään katsaus tiivistysmenetelmiin, jotka perustuvat aallokemuunnokseen. Ortogonaalisten suodattimien määritys parametrisoimalla on työn painopisteenä. Työssä todetaan myös kahden erilaisen lähestymistavan samanlaisuus algebrallisten yhtälöiden avulla. Kokeellinen osa sisältää joukon testejä, joilla perustellaan parametrisoinnin tarvetta. Erilaisille kuville tarvitaan erilaisia suodattimia sekä erilaiset tiivistyskertoimet saavutetaan eri suodattimilla. Lopuksi toteutetaan spektrikuvien tiivistys aallokemuunnoksen avulla.

Classification-Based compression of Multispectral Images

The purpose of this thesis is to present a new approach to the lossy compression of multispectral images. Proposed algorithm is based on combination of quantization and clustering. Clustering was investigated for compression of the spatial dimension and the vector quantization was applied for spectral dimension compression. Presenting algo¬rithms proposes to compress multispectral images in two stages. During the first stage we define the classes' etalons, another words to each uniform areas are located inside the image the number of class is given. And if there are the pixels are not yet assigned to some of the clusters then it doing during the second; pass and assign to the closest eta¬lons. Finally a compressed image is represented with a flat index image pointing to a codebook with etalons. The decompression stage is instant too. The proposed method described in this paper has been tested on different satellite multispectral images from different resources. The numerical results and illustrative examples of the method are represented too.

Lossless Compression Methods for Multispectral Images: Development and Comparisons

Main purpose of this thesis is to introduce a new lossless compression algorithm for multispectral images. Proposed algorithm is based on reducing the band ordering problem to the problem of finding a minimum spanning tree in a weighted directed graph, where set of the graph vertices corresponds to multispectral image bands and the arcs’ weights have been computed using a newly invented adaptive linear prediction model. The adaptive prediction model is an extended unification of 2–and 4–neighbour pixel context linear prediction schemes. The algorithm provides individual prediction of each image band using the optimal prediction scheme, defined by the adaptive prediction model and the optimal predicting band suggested by minimum spanning tree. Its efficiency has been compared with respect to the best lossless compression algorithms for multispectral images. Three recently invented algorithms have been considered. Numerical results produced by these algorithms allow concluding that adaptive prediction based algorithm is the best one for lossless compression of multispectral images. Real multispectral data captured from an airplane have been used for the testing.

Törmäysystävällisen valaisinpylvään tuotteistaminen

Euroopan unioni on tiukentanut teiden laitteiden ja tukirakenteiden törmäysturvallisuusvaatimuksia. Uuden standardoinnin tarkoituksena on lieventää ajoneuvon kuljettajan ja matkustajan vammojen vakavuutta ajoneuvon törmätessä tielaitteiden pysyviin rakenteisiin. Käytännössä rakenteiden tulee hidastaa ajoneuvon nopeutta hallitusti eri törmäysnopeuksilla, jolloin matkustajaan kohdistuvat kiihtyvyydet eivät aiheuta vakavaa loukkaantumisriskiä. Vuonna 2005 Mikkelin ammattikorkeakoulun YTI-tutkimuskeskus ja Tehomet Oy kehittivät ensimmäisen version törmäysystävällisestä valaisinpylväästä. Tässä diplomityössä tavoitteena oli kehittää aikaisemmin tehdystä versiosta helpommin valmistettava versio sekä parantaa pylvään törmäyskäyttäytymistä. Valmistusmenetelmistä valittiin pultruusio, kuitukelaus, alipaineinjektio ja RTM. Menetelmille suunniteltiin soveltuvat rakenteet ja laskettiin rakenteiden valmistuskustannukset. Pultruusiolla, alipaineinjektiolla ja RTM:11ä valmistettiin koe-erä esitörmäyskokeita varten. Esitörmäyskokeiden jälkeen valittiin valmistusmenetelmäksi RTM. TKK/Tielaboratorion virallisissa testeissä kehitetylle pylväälle myönnettiin HE2-turvaluokitus. Hanketta jatketaan kehittämällä valmistusprosessia tehokkaammaksi uudistamalla muottitekniikkaa sekä ottamalla käyttöön lujiteaihiot. Tavoitteena on käynnistää tuotanto keväällä 2008. Kehitetty pylväs esitellään kansainvälisillä "Sähkö, Tele, Valo- ja AV 2008"-messuilla Jyväskylän Paviljongissa 6.-8.2.2008.

Determination of compression behaviour of coating layer

The strength properties of paper coating layer are very important in converting and printing operations. Too great or low strength of the coating can affect several problems in printing. One of the problems caused by the strength of coating is the cracking at the fold. After printing the paper is folded to final form and the pages are stapled together. In folding the paper coating can crack causing aesthetic damage over printed image or in the worst case the centre sheet can fall off in stapling. When folding the paper other side undergoes tensile stresses and the other side compressive stresses. If the difference between these stresses is too high, the coating can crack on the folding. To better predict and prevent cracking at the fold it is good to know the strength properties of coating layer. It has measured earlier the tensile strength of coating layer but not the compressive strength. In this study it was tried to find some way to measure the compressive strength of the coating layer and investigate how different coatings behave in compression. It was used the short span crush test, which is used to measure the in-plane compressive strength of paperboards, to measure the compressive strength of the coating layer. In this method the free span of the specimen is very small which prevent buckling. It was measured the compressive strength of free coating films as well as coated paper. It was also measured the tensile strength and the Bendtsen air permeance of the coating film. The results showed that the shape of pigment has a great effect to the strength of coating. Platy pigment gave much better strength than round or needle-like pigment. On the other hand calcined kaolin, which is also platy but the particles are aggregated, decreased the strength substantially. The difference in the strength can be explained with packing of the particles which is affecting to the porosity and thus to the strength. The platy kaolin packs up much better than others and creates less porous structure. The results also showed that the binder properties have a great effect to the compressive strength of coating layer. The amount of latex and the glass transition temperature, Tg, affect to the strength. As the amount of latex is increasing, the strength of coating is increasing also. Larger amount of latex is binding the pigment particles better together and decreasing the porosity. Compressive strength was increasing when the Tg was increasing because the hard latex gives a stiffer and less elastic film than soft latex.