Polttoaineen reaktiivisuuden määrittäminen kiertoleijupoltossa

Kehitettäessä leijupolttotekniikkaa entistä ympäristöystävällisemmäksi ja tehokkaammaksi tarvitaan lisää tietoa polttoaineen käyttäytymisestä tulipesässä. Polttoaineen palamisprofiili ja reaktiivisuus vaikuttavat oleellisesti esimerkiksi voimalaitoskattilan lämmönsiirtopintojen sijoitteluun ja suunnitteluun sekä ohjausjärjestelmän toteutukseen. Varsinkin monipolttoainekattiloilla ohjausjärjestelmän toimivuus joutuu koetukselle esimerkiksi kuormanmuutostilanteissa ja äkillisissä polttoaineen syöttöhäiriöissä. Tässä työssä on aluksi tutustuttu kiertoleijupolton ilmiöihin ja niiden matemaattiseen mallintamiseen. Lisäksi esitetään katsaus eri prosessiolosuhteiden vaikutuksesta palamiseen kiertoleijuolosuhteissa. Työn tutkimusosassa kehitettiin menetelmä polttoaineen reaktiivisuuden määrittämiseksi kiertoleijupoltossa. Kehitetty menetelmä koostuu koesarjasta ja matemaattisesta simulointimallista. Koetoiminta suoritettiin VTT Energian laboratoriokokoluokan kiertoleijukoelaitteella. Koesarja polttoaineen reaktiivisuuden määrittämiseksi sisältää eri kaasukomponenttien profiilimittauksia ja dynaamisia muutoskokeita. Menetelmän avulla voidaan tutkia eri polttoaineiden reaktiivisuuksia sekä polttoaineen reaktiivisuuden ja tietyn prosessiolosuhteen välistä riippuvuutta. Suorittamalla koeajomatriisin mukaiset kokeet tietyissä prosessiolosuhteissa voidaan polttoaineen reaktiivisuus selvittää koetulosten ja simulointimallin perusteella.

Evolutionary computing in search-based software engineering

This master’s thesis aims to study and represent from literature how evolutionary algorithms are used to solve different search and optimisation problems in the area of software engineering. Evolutionary algorithms are methods, which imitate the natural evolution process. An artificial evolution process evaluates fitness of each individual, which are solution candidates. The next population of candidate solutions is formed by using the good properties of the current population by applying different mutation and crossover operations. Different kinds of evolutionary algorithm applications related to software engineering were searched in the literature. Applications were classified and represented. Also the necessary basics about evolutionary algorithms were presented. It was concluded, that majority of evolutionary algorithm applications related to software engineering were about software design or testing. For example, there were applications about classifying software production data, project scheduling, static task scheduling related to parallel computing, allocating modules to subsystems, N-version programming, test data generation and generating an integration test order. Many applications were experimental testing rather than ready for real production use. There were also some Computer Aided Software Engineering tools based on evolutionary algorithms.

Insulation System in an Integrated Motor Compressor

A high-speed and high-voltage solid-rotor induction machine provides beneficial features for natural gas compressor technology. The mechanical robustness of the machine enables its use in an integrated motor-compressor. The technology uses a centrifugal compressor, which is mounted on the same shaft with the high-speed electrical machine driving it. No gearbox is needed as the speed is determined by the frequency converter. The cooling is provided by the process gas, which flows through the motor and is capable of transferring the heat away from the motor. The technology has been used in the compressors in the natural gas supply chain in the central Europe. New areas of application include natural gas compressors working at the wellheads of the subsea gas reservoir. A key challenge for the design of such a motor is the resistance of the stator insulation to the raw natural gas from the well. The gas contains water and heavy hydrocarbon compounds and it is far harsher than the sales gas in the natural gas supply network. The objective of this doctoral thesis is to discuss the resistance of the insulation to the raw natural gas and the phenomena degrading the insulation. The presence of partial discharges is analyzed in this doctoral dissertation. The breakdown voltage of the gas is measured as a function of pressure and gap distance. The partial discharge activity is measured on small samples representing the windings of the machine. The electrical field behavior is also modeled by finite element methods. Based on the measurements it has been concluded that the discharges are expected to disappear at gas pressures above 4 – 5 bar. The disappearance of discharges is caused by the breakdown strength of the gas, which increases as the pressure increases. Based on the finite element analysis, the physical length of a discharge seen in the PD measurements at atmospheric pressure was approximated to be 40 – 120 m. The chemical aging of the insulation when exposed to raw natural gas is discussed based on a vast set of experimental tests with the gas mixture representing the real gas mixture at the wellhead. The mixture was created by mixing dry hydrocarbon gas, heavy hydrocarbon compounds, monoethylene glycol, and water. The mixture was chosen to be more aggressive by increasing the amount of liquid substances. Furthermore, the temperature and pressure were increased, which resulted in accelerated test conditions. The time required to detect severe degradation was thus decreased. The test program included a comparison of materials, an analysis of the e ects of di erent compounds in the gas mixture, namely water and heavy hydrocarbons, on the aging, an analysis of the e ects of temperature and exposure duration, and also an analysis on the e ect of sudden pressure changes on the degradation of the insulating materials. It was found in the tests that an insulation consisting of mica, glass, and epoxy resin can tolerate the raw natural gas, but it experiences some degradation. The key material in the composite insulation is the resin, which largely defines the performance of the insulation system. The degradation of the insulation is mostly determined by the amount of gas mixture di used into it. The di usion was seen to follow Fick’s second law, but the coe cients were not accurately defined. The di usion was not sensitive to temperature, but it was dependent upon the thermodynamic state of the gas mixture, in other words, the amounts of liquid components in the gas. The weight increase observed was mostly related to heavy hydrocarbon compounds, which act as plasticizers in the epoxy resin. The di usion of these compounds is determined by the crosslink density of the resin. Water causes slight changes in the chemical structure, but these changes do not significantly contribute to the aging phenomena. Sudden changes in pressure can lead to severe damages in the insulation, because the motion of the di used gas is able to create internal cracks in the insulation. Therefore, the di usion only reduces the mechanical strength of the insulation, but the ultimate breakdown can potentially be caused by a sudden drop in the pressure of the process gas.

Sentence Compression with Supervised Machine Learning

The subject of the thesis is automatic sentence compression with machine learning, so that the compressed sentences remain both grammatical and retain their essential meaning. There are multiple possible uses for the compression of natural language sentences. In this thesis the focus is generation of television program subtitles, which often are compressed version of the original script of the program. The main part of the thesis consists of machine learning experiments for automatic sentence compression using different approaches to the problem. The machine learning methods used for this work are linear-chain conditional random fields and support vector machines. Also we take a look which automatic text analysis methods provide useful features for the task. The data used for machine learning is supplied by Lingsoft Inc. and consists of subtitles in both compressed an uncompressed form. The models are compared to a baseline system and comparisons are made both automatically and also using human evaluation, because of the potentially subjective nature of the output. The best result is achieved using a CRF - sequence classification using a rich feature set. All text analysis methods help classification and most useful method is morphological analysis. Tutkielman aihe on suomenkielisten lauseiden automaattinen tiivistäminen koneellisesti, niin että lyhennetyt lauseet säilyttävät olennaisen informaationsa ja pysyvät kieliopillisina. Luonnollisen kielen lauseiden tiivistämiselle on monta käyttötarkoitusta, mutta tässä tutkielmassa aihetta lähestytään television ohjelmien tekstittämisen kautta, johon käytännössä kuuluu alkuperäisen tekstin lyhentäminen televisioruudulle paremmin sopivaksi. Tutkielmassa kokeillaan erilaisia koneoppimismenetelmiä tekstin automaatiseen lyhentämiseen ja tarkastellaan miten hyvin erilaiset luonnollisen kielen analyysimenetelmät tuottavat informaatiota, joka auttaa näitä menetelmiä lyhentämään lauseita. Lisäksi tarkastellaan minkälainen lähestymistapa tuottaa parhaan lopputuloksen. Käytetyt koneoppimismenetelmät ovat tukivektorikone ja lineaarisen sekvenssin mallinen CRF. Koneoppimisen tukena käytetään tekstityksiä niiden eri käsittelyvaiheissa, jotka on saatu Lingsoft OY:ltä. Luotuja malleja vertaillaan Lopulta mallien lopputuloksia evaluoidaan automaattisesti ja koska teksti lopputuksena on jossain määrin subjektiivinen myös ihmisarviointiin perustuen. Vertailukohtana toimii kirjallisuudesta poimittu menetelmä. Tutkielman tuloksena paras lopputulos saadaan aikaan käyttäen CRF sekvenssi-luokittelijaa laajalla piirrejoukolla. Kaikki kokeillut teksin analyysimenetelmät auttavat luokittelussa, joista tärkeimmän panoksen antaa morfologinen analyysi.

Étude exploratoire du potentiel diagnostique des questions d’un test de concordance de scripts (TCS) pour évaluer le raisonnement clinique infirmier (RCI)

L'enseignement, l'apprentissage et l'évaluation du raisonnement clinique en sciences infirmières est un défi pour les éducateurs de cette profession et leurs étudiants. Depuis plusieurs décennies, les chercheurs et les éducateurs dans le domaine des sciences de la santé ont travaillé pour élaborer des instruments d'évaluation dans le but de pouvoir mesurer le raisonnement clinique (Charlin, Bordage & Van der Vleuten, 2003). Plusieurs études semblent appuyer le test de concordance de script (TCS) en termes de validité, fiabilité, faisabilité et applicabilité pour plusieurs disciplines et différents contextes (Carrière & al, 2009). Deschênes et ses collaborateurs (2006; Deschênes, Charlin, Gagnon & Goudreau, 2011) ont mis au point et validé un TCS spécifiquement pour le raisonnement clinique en sciences infirmières (RCI). Comme l'évaluation a un impact important sur les stratégies d'apprentissage des étudiants (Sibert et al, 2001; Durak, Caliskan & Bor, 2007), les outils d'évaluation valides et fiables qui permettraient l'identification des problèmes spécifiques dans le développement du raisonnement clinique en sciences infirmières seraient très utiles pour guider les décisions concernant l'éducation (Gierl, 2007). Nous avons donc mené une étude pour explorer le potentiel diagnostique des questions d'un TCS. La question de recherche est la suivante: «Dans quelle mesure chaque question d’un TCS visant à évaluer le RCI peut-elle être reliée à des catégories et des stratégies de pensée spécifiques?" Avec une sous-question: «Comment peut-on décrire le potentiel diagnostique d’un TCS pour évaluer le RCI?". Nous avons fait une deuxième analyse de contenu des données qui ont été obtenues dans une étude précédente dans laquelle cinq vignettes (15 questions) du TCS de Deschênes (2006) ont été utilisées. Les résultats ont montré les catégories et stratégies de pensées utilisées pour répondre à certaines questions du TCS selon les groupes de participants. Aussi, nos résultats ont permis de découvrir des disparités importantes entre les groupes, notamment que le RCI des expertes est si différent des étudiantes, qu’il ne peut servir de référence. Enfin, cette étude démontre que le TCS a un potentiel diagnostique niveau par niveau (1ère, 2e, 3e année et expertes) et non d’un niveau à un autre.

L’évaluation du raisonnement clinique des résidents en hématologie par l’approche de concordance de script

La pratique de l’hématologie, comme celle de toute profession, implique l’acquisition d’un raisonnement adéquat. Se basant sur une théorie de psychologie cognitive, le test de concordance de script (TCS) a été développé et validé comme un instrument permettant d’évaluer le raisonnement clinique dans diverses spécialités médicales. Le but de cette étude était d’examiner l’utilité et les paramètres psychométriques d’un TCS en hématologie. Nous avons construit un TCS composé de 60 questions que nous avons administré à 15 résidents juniors (R1 à R3 en médecine interne), 46 résidents séniors (R4, R5 et R6 en hématologie) et 17 hématologues à travers le Canada. Après optimisation, le TCS comptait 51 questions. Sa consistance interne mesurée par le coefficient de Cronbach alpha était 0.83. Le test était en mesure de discriminer entre les résidents selon leur niveau de formation. Les questions contenant des images (n=10) semblaient avoir un potentiel discriminatoire plus élevé. Les scores obtenus par les résidents séniors corrélaient modéremment avec ceux obtenus à un test conventionnel d’hématologie composé de questions à choix multiples et à courte réponse (r de Pearson = 0.42; p=0.02). Le TCS a été complété en 36 minutes en moyenne et a été bien reçu par les participants. Le TCS est un instrument d’évaluation utile et valide en hématologie. Il peut être utilisé à des fins formatives en aidant au suivi de la progression des résidents. Il pourrait aussi être combiné à d’autres instruments d’évaluation à des fins sanctionnelles, ou encore, en éducation médicale continue.

Instant Storyboarding

This thesis aims at empowering software customers with a tool to build software tests them selves, based on a gradual refinement of natural language scenarios into executable visual test models. The process is divided in five steps: 1. First, a natural language parser is used to extract a graph of grammatical relations from the textual scenario descriptions. 2. The resulting graph is transformed into an informal story pattern by interpreting structurization rules based on Fujaba Story Diagrams. 3. While the informal story pattern can already be used by humans the diagram still lacks technical details, especially type information. To add them, a recommender based framework uses web sites and other resources to generate formalization rules. 4. As a preparation for the code generation the classes derived for formal story patterns are aligned across all story steps, substituting a class diagram. 5. Finally, a headless version of Fujaba is used to generate an executable JUnit test. The graph transformations used in the browser application are specified in a textual domain specific language and visualized as story pattern. Last but not least, only the heavyweight parsing (step 1) and code generation (step 5) are executed on the server side. All graph transformation steps (2, 3 and 4) are executed in the browser by an interpreter written in JavaScript/GWT. This result paves the way for online collaboration between global teams of software customers, IT business analysts and software developers.

Applying the Lessons of “Lean Now” to Transform the US Aerospace Enterprise

Lean is common sense and good business sense. As organizations grow and become more successful, they begin to lose insight into the basic truths of what made them successful. Organizations have to deal with more and more issues that may not have anything to do with directly providing products or services to their customers. Lean is a holistic management approach that brings the focus of the organization back to providing value to the customer. In August 2002, Mrs. Darleen Druyun, the Principal Deputy to the Assistant Secretary of the Air Force for Acquisition and government co-chairperson of the Lean Aerospace Initiative (LAI), decided it was time for Air Force acquisitions to embrace the concepts of lean. At her request, the LAI Executive Board developed a concept and methodology to employ lean into the Air Force’s acquisition culture and processes. This was the birth of the “Lean Now” initiative. An enterprise-wide approach was used, involving Air Force System Program Offices (SPOs), aerospace industry, and several Department of Defense agencies. The aim of Lean Now was to focus on the process interfaces between these “enterprise” stakeholders to eliminate barriers that impede progress. Any best practices developed would be institutionalized throughout the Air Force and the Department of Defense (DoD). The industry members of LAI agreed to help accelerate the government-industry transformation by donating lean Subject Matter Experts (SMEs) to mentor, train, and facilitate the lean events of each enterprise. Currently, the industry SMEs and the Massachusetts Institute of Technology are working together to help the Air Force develop its own lean infrastructure of training courses and Air Force lean SMEs. The first Lean Now programs were the F/A-22, Global Hawk, and F-16. Each program focused on specific acquisition processes. The F/A-22 focused on the Test and Evaluation process; the Global Hawk focused on Evolutionary Acquisitions; and the F-16 focused on improving the Contract Closeout process. Through lean, each enterprise made many significant improvements. The F/A-22 was able to reduce its Operational Flight Plan (OFP) Preparation and Load process time of 2 to 3 months down to 7 hours. The Global Hawk developed a new production plan that increases the annual production of its Integrated Sensor Suite from 3 per year to 6 per year. The F-16 enterprise generated and is working 12 initiatives that could result in a contract closeout cycle time reduction of 3 to 7 years. Each enterprise continues to generate more lean initiatives that focus on other areas and processes within their respective enterprises.

Dynamic Document Generation from Semantic Web Data

This talk will present an overview of the ongoing ERCIM project SMARTDOCS (SeMAntically-cReaTed DOCuments) which aims at automatically generating webpages from RDF data. It will particularly focus on the current issues and the investigated solutions in the different modules of the project, which are related to document planning, natural language generation and multimedia perspectives. The second part of the talk will be dedicated to the KODA annotation system, which is a knowledge-base-agnostic annotator designed to provide the RDF annotations required in the document generation process.

Generation of attosecond pulses in molecular nitrogen

We have generated attosecond pulse trains in an ensemble of randomly aligned nitrogen molecules. Measurements of the high-order harmonic relative phases and amplitudes allow us to reconstruct the temporal profile of the attosecond pulses. We show that in the considered spectral range, the latter is very similar to the pulse train generated in argon under the same conditions. We discuss the possible influence of the molecular structure in the generation process, and how it can induce subtle differences on the relative phases.

Template-based quadrilateral meshing

Generating quadrilateral meshes is a highly non-trivial task, as design decisions are frequently driven by specific application demands. Automatic techniques can optimize objective quality metrics, such as mesh regularity, orthogonality, alignment and adaptivity; however, they cannot make subjective design decisions. There are a few quad meshing approaches that offer some mechanisms to include the user in the mesh generation process; however, these techniques either require a large amount of user interaction or do not provide necessary or easy to use inputs. Here, we propose a template-based approach for generating quad-only meshes from triangle surfaces. Our approach offers a flexible mechanism to allow external input, through the definition of alignment features that are respected during the mesh generation process. While allowing user inputs to support subjective design decisions, our approach also takes into account objective quality metrics to produce semi-regular, quad-only meshes that align well to desired surface features. Published by Elsevier Ltd.

Japanese Expatriate Managers in Japanese Subsidiaries in Brazil: Why Not Learning-driven?

It has been said that international assignments are traditionally “demand- driven” (DD) that is a way of expatriation of executives focused on control, solution of problems and transference of tacit knowledge. Besides that, according to the international literature, “adjustment” is the determinant factor for success in overseas assignments and Japan usually sends their own executives to subsidiaries in other developing countries for “DD” purpose. However, according to the initial empirical study and in-depth interviews, it seems that Japanese expatriate managers in Brazil were sent to learn how to adjust the local staff to their philosophy instead of adjust themselves to a new complete scenario. This paper found that “adjustment” would not be fundamental for Japanese expatriate manager’s success in their assignments to Brazil, since they were under a special “learning-driven” type of expatriation process. This paper also highlights the challenges of the Japanese expatriate managers in Brazil and their contribution to the development of local staff under the internationalization process.

Evaluation of a novel kit (TF-test) for the diagnosis of intestinal parasitic infections

Intestinal parasitic infections are currently a source of concern for Public Health agencies in developing and developed countries. Since three ovum-and-parasite stool examinations have been demonstrated to provide sensitive results, we designed a practical and economical kit (TF-Test) that is now commercially available (Immunoassay Com. Ind. Ltda., S (a) over tildeo Paulo, Brazil). This kit allows the separate collection of three fecal specimens into a preservative solution. The specimens are then pooled, double-filtered, and concentrated by a single rapid centrifugation process. The TF-Test was evaluated in four different laboratories in a study using 1,102 outpatients and individuals living in an endemic area for enteroparasitosis. The overall sensitivity found using the TF-Test (86.2-97.8%) was significantly higher (P<0.01) than the sensitivity of conventional techniques such as the Coprotest (NIL Comercio Exterior Ltda, São Paulo, Brazil) and the combination of Lutz/Hoffman, Faust, and Rugai techniques (De Carli, Diagnostico Laboratorial das Parasitoses Humanas. Metodos e Tecnicas, 1994), which ranged from 48.3% to 75.9%. When the above combined three specimen technique was repeated with three specimens collected on different days, its sensitivity became similar (P > 0.01) to that of the TF-Test. The kappa index values of agreement for the TF-Test were consistent (P < 0.01), being higher and ranking in a better position than conventional techniques. The high sensitivity, cost/benefit ratio, and practical aspects demonstrate that the TF-Test is suitable for individual diagnosis, epidemiological inquiries, or evaluation of chemotherapy in treated communities. (C) 2004 Wiley-Liss, Inc.

A column generation approach to capacitated p-median problems

The Capacitated p-median problem (CPMP) seeks to solve the optimal location of p facilities, considering distances and capacities for the service to be given by each median. In this paper we present a column generation approach to CPMP. The identified restricted master problem optimizes the covering of 1-median clusters satisfying the capacity constraints, and new columns are generated considering knapsack subproblems. The Lagrangean/surrogate relaxation has been used recently to accelerate subgradient like methods. In this work the Lagrangean/surrogate relaxation is directly identified from the master problem dual and provides new bounds and new productive columns through a modified knapsack subproblem. The overall column generation process is accelerated, even when multiple pricing is observed. Computational tests are presented using instances taken from real data from Sao Jose dos Campos' city.

Desenvolvimento de uma metodologia para análise do potencial de cogeração de energia elétrica em usina de açúcar e álcool

Pós-graduação em Engenharia Mecânica - FEB