Dewatering of hard-to-dewater pulps

Nanocellulose has much potential for enhancing the tensile strength of paper but it slows down significantly drainage, restricting its use in industrial scale. Main objective of the work was to find ways to improve the dewatering of nanocellulose-containing papers. The effects of cationic potato starch, microparticle system and filler addition on dewatering and such key properties as formation, tensile strength and air permeance of manufactured paper were studied. Test points had 0, 4 or 8 % CNF and 0, 15 or 30 % PCC content. Based on earlier studies, 25 mg/g starch dosage was added to some test points. Modern microparticle system, consisted of cationic polyacrylamide and amorphous silica, was used in few test points. Dosages for both components were 0.3 and 0.6 mg/g, following the recommendations of the supplier. Also, the influences of CNF and filler on drying behaviour after different stages (drainage, wet pressing and cylinder drying) were estimated. Following trends were observed. Starch does not have unambiguous influence on dewatering. In some cases, it improved drainage slightly but effects on the properties of end product were discovered small. Filler quickened dewatering but large proportions were noticed to be detrimental for the drainage, air permeance and tensile strength. Microparticle system improved drainage notably, especially if CNF dosage was high. In addition, microparticle system increased tensile strength and decreased air permeance. However, its effects on formation were detrimental. Dewatering of nanocellulose-containing furnishes is treatable up to a certain point. In the end, such drainage times that were measured from test points which consisted only of pure kraft pulps are awkward to reach.

Comparison of Local Feature Detectors and Descriptors for Visual Object Categorization

Local features are used in many computer vision tasks including visual object categorization, content-based image retrieval and object recognition to mention a few. Local features are points, blobs or regions in images that are extracted using a local feature detector. To make use of extracted local features the localized interest points are described using a local feature descriptor. A descriptor histogram vector is a compact representation of an image and can be used for searching and matching images in databases. In this thesis the performance of local feature detectors and descriptors is evaluated for object class detection task. Features are extracted from image samples belonging to several object classes. Matching features are then searched using random image pairs of a same class. The goal of this thesis is to find out what are the best detector and descriptor methods for such task in terms of detector repeatability and descriptor matching rate.

Building object-oriented software with the D-Bus messaging system

Object-oriented programming is a widely adopted paradigm for desktop software development. This paradigm partitions software into separate entities, objects, which consist of data and related procedures used to modify and inspect it. The paradigm has evolved during the last few decades to emphasize decoupling between object implementations, via means such as explicit interface inheritance and event-based implicit invocation. Inter-process communication (IPC) technologies allow applications to interact with each other. This enables making software distributed across multiple processes, resulting in a modular architecture with benefits in resource sharing, robustness, code reuse and security. The support for object-oriented programming concepts varies between IPC systems. This thesis is focused on the D-Bus system, which has recently gained a lot of users, but is still scantily researched. D-Bus has support for asynchronous remote procedure calls with return values and a content-based publish/subscribe event delivery mechanism. In this thesis, several patterns for method invocation in D-Bus and similar systems are compared. The patterns that simulate synchronous local calls are shown to be dangerous. Later, we present a state-caching proxy construct, which avoids the complexity of properly asynchronous calls for object inspection. The proxy and certain supplementary constructs are presented conceptually as generic object-oriented design patterns. The e ect of these patterns on non-functional qualities of software, such as complexity, performance and power consumption, is reasoned about based on the properties of the D-Bus system. The use of the patterns reduces complexity, but maintains the other qualities at a good level. Finally, we present currently existing means of specifying D-Bus object interfaces for the purposes of code and documentation generation. The interface description language used by the Telepathy modular IM/VoIP framework is found to be an useful extension of the basic D-Bus introspection format.

Mentorointiohjelman kehittäminen toimintatutkimuksen keinoin

Tutkielma on toimintatutkimus mentoroinnin kehittämisestä Osuuskauppa Hämeenmaassa. Tutkielman tavoitteena on ollut suunnitella mentorointiohjelma osuuskaupalle ja kehittää sen sisältöä saatujen tutkimustulosten perusteella sekä kuvata mentoroinnin tuomia hyötyjä ohjelman osallistujille ennen ohjelman päättymistä. Mentorointi on keskeinen osa S-ryhmän osaamisen johtamista. Sen avulla voidaan kehittää tärkeitä osaamisia ja suunnata oppimista organisaation tavoitteiden saavuttamiseksi. Mentorointi tukee henkilöstöstrategian mukaista omaehtoista oppimista, jossa yksilöt ottavat vastuun oman ammattitaitonsa ylläpitämisestä ja kehittämisestä organisaation tuella. Tutkielman viitekehykseen on koottu mentoroinnin ja mentorointiohjelman kehittämiseen liittyviä teorioita ja näkökulmia. Viitekehyksen pohjalta on suunniteltu mentorointiohjelman sisältö ja valmennusmateriaalit. Suunnittelu- ja toteutusprosessi on kuvattu tutkielmassa toimintatutkimuksen luonteen mukaisesti. Ohjelmaa ja sen tuomia hyötyjä osallistujille on arvioitu työssä kirjallisen palautekyselyn ja teemahaastatteluiden avulla. Tutkielman keskeisiä tuloksia ovat ohjelman suunnittelua tukeneen viite-kehyksen kokoaminen ja mentorointiohjelman toteuttaminen sille asetettujen tavoitteiden mukaisesti. Ohjelmaa on kehitetty tutkimustulosten perusteella ja tietoa mentoroinnin hyödyistä osallistujien näkökulmasta on kerätty.

Characterisation of waste for combustion : with special reference to the role of zinc

Waste combustion has gone from being a volume reducing discarding-method to an energy recovery process for unwanted material that cannot be reused or recycled. Different fractions of waste are used as fuel today, such as; municipal solid waste, refuse derived fuel, and solid recovered fuel. Furthermore, industrial waste, normally a mixture between commercial waste and building and demolition waste, is common, either as separate fuels or mixed with, for example, municipal solid waste. Compared to fossil or biomass fuels, waste mixtures are extremely heterogeneous, making it a complicated fuel. Differences in calorific values, ash content, moisture content, and changing levels of elements, such as Cl and alkali metals, are common in waste fuel. Moreover, waste contains much higher levels of troublesome trace elements, such as Zn, which is thought to accelerate a corrosion process. Varying fuel quality can be strenuous on the boiler system and may cause fouling and corrosion of heat exchanger surfaces. This thesis examines waste fuels and waste combustion from different angles, with the objective of giving a better understanding of waste as an important fuel in today’s fuel economy. Several chemical characterisation campaigns of waste fuels over longer time periods (10-12 months) was used to determine the fossil content of Swedish waste fuels, to investigate possible seasonal variations, and to study the presence of Zn in waste. Data from the characterisation campaigns were used for thermodynamic equilibrium calculations to follow trends and determine the effect of changing concentrations of various elements. The thesis also includes a study of the thermal behaviour of Zn and a full—scale study of how the bed temperature affects the volatilisation of alkali metals and Zn from the fuel. As mixed waste fuel contains considerable amounts of fresh biomass, such as wood, food waste, paper etc. it would be wrong to classify it as a fossil fuel. When Sweden introduced waste combustion as a part of the European Union emission trading system in the beginning of 2013 there was a need for combustion plants to find a usable and reliable method to determine the fossil content. Four different methods were studied in full-scale of seven combustion plants; 14Canalysis of solid waste, 14C-analysis of flue gas, sorting analysis followed by calculations, and a patented balance method that is using a software program to calculate the fossil content based on parameters from the plant. The study showed that approximately one third of the coal in Swedish waste mixtures has fossil origins and presented the plants with information about the four different methods and their advantages and disadvantages. Characterisation campaigns also showed that industrial waste contain higher levels of trace elements, such as Zn. The content of Zn in Swedish waste fuels was determined to be approximately 800 mg kg-1 on average, based on 42 samples of solid waste from seven different plants with varying mixtures between municipal solid waste and industrial waste. A review study of the occurrence of Zn in fuels confirmed that the highest amounts of Zn are present in waste fuels rather than in fossil or biomass fuels. In tires, Zn is used as a vulcanizing agent and can reach concentration values of 9600-16800 mg kg-1. Waste Electrical and Electronic Equipment is the second Zn-richest fuel and even though on average Zn content is around 4000 mg kg-1, the values of over 19000 mg kg-1 were also reported. The increased amounts of Zn, 3000-4000 mg kg-1, are also found in municipal solid waste, sludge with over 2000 mg kg-1 on average (some exceptions up to 49000 mg kg-1), and other waste derived fuels (over 1000 mg kg-1). Zn is also found in fossil fuels. In coal, the average level of Zn is 100 mg kg-1, the higher amount of Zn was only reported for oil shale with values between 20-2680 mg kg-1. The content of Zn in biomass is basically determined by its natural occurrence and it is typically 10-100 mg kg-1. The thermal behaviour of Zn is of importance to understand the possible reactions taking place in the boiler. By using thermal analysis three common Zn-compounds were studied (ZnCl2, ZnSO4, and ZnO) and compared to phase diagrams produced with thermodynamic equilibrium calculations. The results of the study suggest that ZnCl2(s/l) cannot exist readily in the boiler due to its volatility at high temperatures and its conversion to ZnO in oxidising conditions. Also, ZnSO4 decomposes around 680°C, while ZnO is relatively stable in the temperature range prevailing in the boiler. Furthermore, by exposing ZnO to HCl in a hot environment (240-330°C) it was shown that chlorination of ZnO with HCl gas is possible. Waste fuel containing high levels of elements known to be corrosive, for example, Na and K in combination with Cl, and also significant amounts of trace elements, such as Zn, are demanding on the whole boiler system. A full-scale study of how the volatilisation of Na, K, and Zn is affected by the bed temperature in a fluidised bed boiler was performed parallel with a lab-scale study with the same conditions. The study showed that the fouling rate on deposit probes were decreased by 20 % when the bed temperature was decreased from 870°C to below 720°C. In addition, the lab-scale experiments clearly indicated that the amount of alkali metals and Zn volatilised depends on the reactor temperature.

Centesimal composition and bioactive compounds in fruits of buriti collected in Pará

The link between diet and the incidence of chronic and degenerative diseases has already been established. The foods that play a role in preventing and/or treating these diseases are called functional foods. Buriti can be highlighted amongst these foods since it is an excellent source of vegetable oil, which is rich in β-carotene and oleic acid. This research evaluated the potential of the pulp of this fruit as a functional food focusing on its incorporation to the diet. Buriti pulp presented 62.93% moisture, 8.25% total carbohydrates, and 2.10% protein. The lipid fraction corresponded to 13.85%, and oleic acid was the main fatty acid. It also contained 0.94% total mineral content. Based on the results obtained, it can be said that the pulp of buriti may contain bioactive compounds with functional activities, but further research is needed to assess such potential.

Verkkopalveluiden jatkuvan ylläpidon kehittäminen: Case Aucor Oy ja WordPress

Verkkopalveluiden ylläpitovaiheessa halutaan varmistua, etteivät palveluun tehdyt muutokset aiheuta verkkopalvelussa virhetilanteita ja palvelu toimii moitteetta. Muutoksen hyväksyntätestaus voidaan tehdä regressiotestauksena vertaamalla palvelun tilaa ennen ja jälkeen muutoksen. Sisältöpainotteisessa verkkopalvelussa testaaminen keskittyy loppukäyttäjälle esitetyn sivun semanttiseen sekä visuaaliseen oikeellisuuteen sekä erilaisiin toiminnallisiin testeihin. Työssä tarkastellaan etenkin suositulla WordPress-julkaisujärjestelmällä toteutettujen verkkopalveluiden ylläpitoa. Keskeisenä osana julkaisujärjestelmillä toteutettujen verkkopalveluiden ylläpitoa on julkaisujärjestelmän ja sitä täydentävien lisäosien päivittämistä ajantasaisiin versioihin. Nämä päivitykset paitsi tuovat uusia ominaisuuksia verkkopalvelun kehittäjille, myös paikkaavat järjestelmän tietoturvahaavoittuvuuksia sekä korjaavat aiemmissa versioissa esiintyneitä virheitä. Tässä työssä kehitettiin kohdeyrityksen aiempia verkkopalveluiden ylläpitoprosesseja niissä tunnistettujen kehityskohteiden perusteella. Uudistettu kokonaisuus jakautuu kahteen kokonaisuuteen: päivitystarpeen seurantaan sekä päivitysten tekemiseen. Päivitystarpeen seurantaa varten kehitettiin uusi työkalu helpottamaan kokonaiskuvan hahmottamista. Päivitysten tekemisen osalta työssä keskityttiin automatisoidun regressiotestauksen kehittämiseen, missä tärkeimpänä testauskeinona käytetään verkkopalvelusta tallennettujen kuvankaappausten vertailuun perustuvaa visuaalista testausta. Uusien ylläpitoprosesseille määriteltiin myös seurannan kohteet uudistuksen onnistumisen ja jatkokehityksen arviointia varten.

Improving English as a Second Language (ESL) Pedagogy in One University in Ontario

In this paper, theoretical pedagogical approaches and practical pedagogical approaches are investigated by drawing on English as a Second Language (ESL) teachers’ pedagogical principles and practices, and ESL Chinese students’ second language acquisition and learning needs as they related to improving ESL pedagogy in one university ELP in Ontario. Three experienced ESL teachers were inquired by interviews and 30 ESL Chinese students were surveyed by questionnaires. Based on the mix-method exploratory research design, communicative, task-based, and content-based language teaching approaches are identified and discussed in the light of the interview and questionnaire data.

Web2.0, knowledge sharing and privacy in E-learning

Quand le E-learning a émergé il ya 20 ans, cela consistait simplement en un texte affiché sur un écran d'ordinateur, comme un livre. Avec les changements et les progrès dans la technologie, le E-learning a parcouru un long chemin, maintenant offrant un matériel éducatif personnalisé, interactif et riche en contenu. Aujourd'hui, le E-learning se transforme de nouveau. En effet, avec la prolifération des systèmes d'apprentissage électronique et des outils d'édition de contenu éducatif, ainsi que les normes établies, c’est devenu plus facile de partager et de réutiliser le contenu d'apprentissage. En outre, avec le passage à des méthodes d'enseignement centrées sur l'apprenant, en plus de l'effet des techniques et technologies Web2.0, les apprenants ne sont plus seulement les récipiendaires du contenu d'apprentissage, mais peuvent jouer un rôle plus actif dans l'enrichissement de ce contenu. Par ailleurs, avec la quantité d'informations que les systèmes E-learning peuvent accumuler sur les apprenants, et l'impact que cela peut avoir sur leur vie privée, des préoccupations sont soulevées afin de protéger la vie privée des apprenants. Au meilleur de nos connaissances, il n'existe pas de solutions existantes qui prennent en charge les différents problèmes soulevés par ces changements. Dans ce travail, nous abordons ces questions en présentant Cadmus, SHAREK, et le E-learning préservant la vie privée. Plus précisément, Cadmus est une plateforme web, conforme au standard IMS QTI, offrant un cadre et des outils adéquats pour permettre à des tuteurs de créer et partager des questions de tests et des examens. Plus précisément, Cadmus fournit des modules telles que EQRS (Exam Question Recommender System) pour aider les tuteurs à localiser des questions appropriées pour leur examens, ICE (Identification of Conflits in Exams) pour aider à résoudre les conflits entre les questions contenu dans un même examen, et le Topic Tree, conçu pour aider les tuteurs à mieux organiser leurs questions d'examen et à assurer facilement la couverture des différent sujets contenus dans les examens. D'autre part, SHAREK (Sharing REsources and Knowledge) fournit un cadre pour pouvoir profiter du meilleur des deux mondes : la solidité des systèmes E-learning et la flexibilité de PLE (Personal Learning Environment) tout en permettant aux apprenants d'enrichir le contenu d'apprentissage, et les aider à localiser nouvelles ressources d'apprentissage. Plus précisément, SHAREK combine un système recommandation multicritères, ainsi que des techniques et des technologies Web2.0, tels que le RSS et le web social, pour promouvoir de nouvelles ressources d'apprentissage et aider les apprenants à localiser du contenu adapté. Finalement, afin de répondre aux divers besoins de la vie privée dans le E-learning, nous proposons un cadre avec quatre niveaux de vie privée, ainsi que quatre niveaux de traçabilité. De plus, nous présentons ACES (Anonymous Credentials for E-learning Systems), un ensemble de protocoles, basés sur des techniques cryptographiques bien établies, afin d'aider les apprenants à atteindre leur niveau de vie privée désiré.

CBIR Using Local and Global Properties of Image Sub-blocks

This paper proposes a content based image retrieval (CBIR) system using the local colour and texture features of selected image sub-blocks and global colour and shape features of the image. The image sub-blocks are roughly identified by segmenting the image into partitions of different configuration, finding the edge density in each partition using edge thresholding, morphological dilation and finding the corner density in each partition. The colour and texture features of the identified regions are computed from the histograms of the quantized HSV colour space and Gray Level Co- occurrence Matrix (GLCM) respectively. A combined colour and texture feature vector is computed for each region. The shape features are computed from the Edge Histogram Descriptor (EHD). Euclidean distance measure is used for computing the distance between the features of the query and target image. Experimental results show that the proposed method provides better retrieving result than retrieval using some of the existing methods

English-Malayalam Cross-Lingual Information Retrieval – an Experience

This paper describes about an English-Malayalam Cross-Lingual Information Retrieval system. The system retrieves Malayalam documents in response to query given in English or Malayalam. Thus monolingual information retrieval is also supported in this system. Malayalam is one of the most prominent regional languages of Indian subcontinent. It is spoken by more than 37 million people and is the native language of Kerala state in India. Since we neither had any full-fledged online bilingual dictionary nor any parallel corpora to build the statistical lexicon, we used a bilingual dictionary developed in house for translation. Other language specific resources like Malayalam stemmer, Malayalam morphological root analyzer etc developed in house were used in this work

Grey Level Co-Occurrence Matrices: Generalisation And Some New Features

Grey Level Co-occurrence Matrices (GLCM) are one of the earliest techniques used for image texture analysis. In this paper we defined a new feature called trace extracted from the GLCM and its implications in texture analysis are discussed in the context of Content Based Image Retrieval (CBIR). The theoretical extension of GLCM to n-dimensional gray scale images are also discussed. The results indicate that trace features outperform Haralick features when applied to CBIR.

Automatic Image Annotation Using SURF Descriptors

In recent years there is an apparent shift in research from content based image retrieval (CBIR) to automatic image annotation in order to bridge the gap between low level features and high level semantics of images. Automatic Image Annotation (AIA) techniques facilitate extraction of high level semantic concepts from images by machine learning techniques. Many AIA techniques use feature analysis as the first step to identify the objects in the image. However, the high dimensional image features make the performance of the system worse. This paper describes and evaluates an automatic image annotation framework which uses SURF descriptors to select right number of features and right features for annotation. The proposed framework uses a hybrid approach in which k-means clustering is used in the training phase and fuzzy K-NN classification in the annotation phase. The performance of the system is evaluated using standard metrics.

La vinculación de lengua y contenidos en la enseñanza en inglés del sistema jurídico anglo-norteamericano en los estudios de Derecho.

Resumen tomado de la publicación

Multimodal semantic-associative collateral labelling and indexing of still images

A novel framework for multimodal semantic-associative collateral image labelling, aiming at associating image regions with textual keywords, is described. Both the primary image and collateral textual modalities are exploited in a cooperative and complementary fashion. The collateral content and context based knowledge is used to bias the mapping from the low-level region-based visual primitives to the high-level visual concepts defined in a visual vocabulary. We introduce the notion of collateral context, which is represented as a co-occurrence matrix, of the visual keywords, A collaborative mapping scheme is devised using statistical methods like Gaussian distribution or Euclidean distance together with collateral content and context-driven inference mechanism. Finally, we use Self Organising Maps to examine the classification and retrieval effectiveness of the proposed high-level image feature vector model which is constructed based on the image labelling results.