XML-tekniikoihin perustuva ajurimalli LabView-pohjaiseen testausympäristöön

XML-muotoista tiedonesitystapaa hyödynnetään yhä enemmän esitettäessä rakenteellista tietoa. Tarkoituksena on antaa yleishyödyllinen ja uudelleenkäytettävä tapa jakaa yleistä tietoa erilaisten rajapintojen yli. XML-tekniikoita käytetään myös korjaamaan aiemmin tehdyissä sovellutuksissa esiintyneitä puutteita ja parantamaan niiden toimintaa. Tässä diplomityössä esitellään Telestelle LabView-pohjaiseen testaussovellusympäristöön suunniteltava ajuriuudistus. Työssä paranneltiin aiempaa ajurimallia soveltamalla siihen XML-tekniikoita hyödyntäviä toimintoja. Tarkoituksena oli vähentää testaussovelluskehityksessä vaadittavaa ohjelmointityötä korvaamalla sovelluksiin kovakoodatut ominaisuudet XML-pohjaisilla konfiguraatiotiedostoilla. Järjestelmän pohjana on yleiskäyttöinen ajuri, joka käyttää Telesten omaa EMS-protokollaa kommunikoinnissaan testattavien tuotteiden kanssa. Ajurimalli käyttää XML-pohjaisia konfiguraatiotiedostoja määrittelemään testattavien tuotteiden ominaisuuksia. XML-skeematiedostoilla esitetään ajurin käyttämän kommunikaatioprotokollan viestityypit ja niiden rakenteet. Työn tuloksena onnistuttiin luomaan uudenlainen XML-tekniikoita hyödyntävä ajurimalli. Yhteen yhteiseen ajuriin perustuva malli yhdenmukaistaa testaussovelluksien toteuttamista ja vähentää tarvittavaa ohjelmointityötä. Ajurin käyttöä helpotettiin toteuttamalla testaussovelluksien kehitysympäristöön erityinen editori, jolla voidaan helposti luoda ajuria käyttäviä toimintoja.

Toimittajasektorin tarpeiden arviointi sähköisen hankintasanomavälityskentän muotoutumisessa

Tutkimuksen aihe pohjautuu käytännössä havaittuun ongelmaan sähköisen hankintasanomavälityskentän hitaasta käyttöönotosta toimittajasektorilla. On kriittistä saada toimittajasektori aktiivisesti mukaan sähköisiin hankintatoimen käytäntöihin, jotta sähköisestä kaupankäynnistä saatavat hyödyt voidaan ottaa käyttöön koko tarjontaketjun matkalla. Toimittajasektorin tarpeita sähköisen hankintasanomavälityskentän käyttöönotossa tutkittiin julkisen hankintatoimen näkökulmasta. Tutkimus tehtiin itsenäisenä työnä samanaikaisesti käynnissä olevan julkisen hankintatoimen kehityshankkeen rinnalla. Quality Function Deployment -pohjainen malli kehitettiin tunnistamaan toimittajasektorin tarpeita käyttäjälähtöisestä näkökulmasta. Tutkimusta tehdessä nousi esille, ettei toimittajasektori itsessään ollut valmis tunnistamaan omia kehitystarpeitaan järjestelmäkehityksen näkökulmasta. Lisäksi osa mahdollisista syistä hitaaseen sähköisen hankintasanomavälityskentän käyttöönottoon on sellaisia, joita ei voida ratkaista pelkällä järjestelmäkehityksellä.

Etelä-Karjalan sosiaali- ja terveyspiirin kuntakohtaisen kustannuslaskentamallin kehittäminen

Työn tavoitteena oli tutkia Etelä-Karjalan sosiaali- ja terveydenhuollon kuntayhtymän kuntalaskutusta ja rakentaa laskentamalli, jolla kuntakohtaiset kustannukset pystytään laskemaan ja jakamaan. Tutkimusote oli konstruktiivinen. Tiedot kerättiin kuntayhtymän toiminta- ja taloustietojärjestelmistä sekä haastattelemalla organisaation asiantuntijoita. Työn tulokseksi saatu laskentamalli koostuu suoritepohjaisesta, asukaslukupohjaisista ja tarvepainotetuista asukaslukupohjaisista kustannusajureista, joilla kustannukset jaetaan piirin jäsenkunnille. Tällä sekamallilla pystytään toteuttamaan kuntalaskutusta, sillä se täyttää kuntalaskutusmallille asetetut vaatimukset. Työn tulosten perusteella tulo-osuusmalli olisi paras tapa toteuttaa kuntalaskutusta. Yksinkertainen rahoitusmalli mahdollistaa toiminnan vapaamman kehittämisen kuin sekamalli ja on lisäksi selkeämpi ja läpinäkyvämpi. Sekamallissa tulisi painottaa tarvepohjaisia asukaslukuajureita. Tärkeimmät ja suurimpia kustannuksia aiheuttavat alueet kannattaisi tuotteistaa.

Disruptive innovations at the bottom of the pyramid : can they impact the sustainability of today´s top companies?

Due to the different dynamics required for organizations to serve the emerging market which contains billions of people at the bottom of the pyramid (BOP) coupled with the increasing desire for organizations to grow and be more multinational, organizations need to continually innovate. However, the tendency for large and established companies to ignore the BOP market and rather focus on existing markets, gives an indication of the existence of a vulnerability that potentially disruptive innovations from the BOP will not be recognized in good time for a counter measure. This can be deduced from the fact that good management practice advocates that managers should learn and listen to their customers. Therefore majority of the large existing companies continually focus on their main customer/market with sustaining innovations which leaves aspiring new entrants with an underserved BOP market to experiment with. With the aid of research interviews and an agent-based model (ABM) simulation, this thesis examines the attributes of BOP innovations that can qualify them as disruptive and the possibilities of tangible disruptive innovations arising from the bottom of the pyramid and their underlying drivers. The thesis Furthermore, examines the associated impact of such innovations on the future sustainability of established large companies that are operating in the developed world, particularly those with a primary focus which is targeted towards the market at the top of the pyramid (TOP). Additionally, with the use of a scenario planning model, the research provides an evaluation of the possible evolution and potential sustainability impacts that could emerge, from the interplay of innovations at the two pyramidal market levels and the chosen market focus of organizations – TOP or BOP. Using four scenario quadrants, the thesis demonstrates the resulting possibilities from the interaction between the rate of innovations and the segment focused on by organizations with disruptive era characterizing the paradigm shift quadrant. Furthermore, a mathematical model and two theoretical propositions are developed for further research. As recommendations, the thesis also extends the ambidextrous organizational theory, business model innovation and portfolio diversification as plausible recommendations to limit a catastrophic impact, resulting from disruptive innovations.

Distributed document migration between ERP systems by means of messaging and event sourcing

This bachelor’s thesis, written for Lappeenranta University of Technology and implemented in a medium-sized enterprise (SME), examines a distributed document migration system. The system was created to migrate a large number of electronic documents, along with their metadata, from one document management system to another, so as to enable a rapid switchover of an enterprise resource planning systems inside the company. The paper examines, through theoretical analysis, messaging as a possible enabler of distributing applications and how it naturally fits an event based model, whereby system transitions and states are expressed through recorded behaviours. This is put into practice by analysing the implemented migration systems and how the core components, MassTransit, RabbitMQ and MongoDB, were orchestrated together to realize such a system. As a result, the paper presents an architecture for a scalable and distributed system that could migrate hundreds of thousands of documents over weekend, serving its goals in enabling a rapid system switchover.

Vedyn käytön tarkastelu Kemira Chemicals Oy:n Joutsenon tehtailla

Kemira Chemicals Oy:n Joutsenon tehtailla valmistetaan lipeää, suolahappoa, natriumhypokloriittia sekä natriumkloraattia. Lipeää, suolahappoa ja natriumhypokloriittia valmistetaan lipeätehtaassa. Natriumkloraattia valmistetaan kloraattitehtaassa. Kloraatti- ja lipeätehtaan tuotteet valmistetaan elektrolyysimenetelmällä. Elektrolyysien sivutuotteena syntyy vetykaasua, joka voidaan käyttää suolahapon valmistukseen, vetyvoimalaitoksen polttoaineena tai myydä asiakkaalle. Työn tavoitteena oli tarkastella vedyn käyttöä Joutsenon tehtailla. Tarkastelun tavoitteena oli löytää mahdollisia kehitys- tai jatkotutkimuskohteita vety- ja höyryjärjestelmästä. Koska vetyä käytetään myös vetyvoimalaitoksen polttoaineena, joka tuottaa tehtailla tarvittavan prosessihöyryn, tarkasteltiin työssä myös höyryn käyttöä tehtailla. Tarkastelua varten tehtiin Microsoft Excel-pohjainen taselaskentamalli, jolla simuloitiin vedyn ja höyryn käyttöä tehtailla. Työn tuloksena saatiin Excel-pohjainen simulointimalli, jolla pystyttiin tutkimaan vedyn ja höyryn käyttöä. Vedyn ja höyryn käyttöä tutkittiin viidessä eri skenaariossa. Skenaariossa yksi määritettiin pienimmät mahdolliset elektrolyysiin syötettävät sähkövirran arvot, joilla tehtaita on turvallista käyttää. Skenaariossa kaksi määritettiin pienimmät mahdolliset elektrolyysiin syötettävät sähkövirran arvot, joilla voimalaitoksen turbiini pysyisi ajossa. Skenaariossa kolme määritettiin tehtaiden tämän hetkinen maksimi kapasiteetti. Skenaarioissa neljä ja viisi tutkittiin, miten mahdollinen tehtaiden tuotantojen kasvattaminen vaikuttaisi vety- ja höyryjärjestelmään. Työn tuloksien perusteella kehitys- ja jatkotutkimuskohteita olisivat lipeän haihdutuksen höyryn kulutuksen pienentäminen, turbiinin käyttöajan kasvattaminen sekä eri lähteistä saatavan hukkalämmön parempi hyödyntäminen kaukolämmön tuotannossa. Tehtaiden tuotantoja kasvatettaessa on syytä kiinnittää huomioita myös voimalaitoksen pääkattilan ja turbiinin kapasiteettiin.

Remote sensing for three-dimensional modelling of hydromorphology

Successful management of rivers requires an understanding of the fluvial processes that govern them. This, in turn cannot be achieved without a means of quantifying their geomorphology and hydrology and the spatio-temporal interactions between them, that is, their hydromorphology. For a long time, it has been laborious and time-consuming to measure river topography, especially in the submerged part of the channel. The measurement of the flow field has been challenging as well, and hence, such measurements have long been sparse in natural environments. Technological advancements in the field of remote sensing in the recent years have opened up new possibilities for capturing synoptic information on river environments. This thesis presents new developments in fluvial remote sensing of both topography and water flow. A set of close-range remote sensing methods is employed to eventually construct a high-resolution unified empirical hydromorphological model, that is, river channel and floodplain topography and three-dimensional areal flow field. Empirical as well as hydraulic theory-based optical remote sensing methods are tested and evaluated using normal colour aerial photographs and sonar calibration and reference measurements on a rocky-bed sub-Arctic river. The empirical optical bathymetry model is developed further by the introduction of a deep-water radiance parameter estimation algorithm that extends the field of application of the model to shallow streams. The effect of this parameter on the model is also assessed in a study of a sandy-bed sub-Arctic river using close-range high-resolution aerial photography, presenting one of the first examples of fluvial bathymetry modelling from unmanned aerial vehicles (UAV). Further close-range remote sensing methods are added to complete the topography integrating the river bed with the floodplain to create a seamless high-resolution topography. Boat- cart- and backpack-based mobile laser scanning (MLS) are used to measure the topography of the dry part of the channel at a high resolution and accuracy. Multitemporal MLS is evaluated along with UAV-based photogrammetry against terrestrial laser scanning reference data and merged with UAV-based bathymetry to create a two-year series of seamless digital terrain models. These allow the evaluation of the methodology for conducting high-resolution change analysis of the entire channel. The remote sensing based model of hydromorphology is completed by a new methodology for mapping the flow field in 3D. An acoustic Doppler current profiler (ADCP) is deployed on a remote-controlled boat with a survey-grade global navigation satellite system (GNSS) receiver, allowing the positioning of the areally sampled 3D flow vectors in 3D space as a point cloud and its interpolation into a 3D matrix allows a quantitative volumetric flow analysis. Multitemporal areal 3D flow field data show the evolution of the flow field during a snow-melt flood event. The combination of the underwater and dry topography with the flow field yields a compete model of river hydromorphology at the reach scale.

Modelling Energy Consumption of a Switch using Fuzzy-Rule Classifier

The energy consumption of IT equipments is becoming an issue of increasing importance. In particular, network equipments such as routers and switches are major contributors to the energy consumption of internet. Therefore it is important to understand how the relationship between input parameters such as bandwidth, number of active ports, traffic-load, hibernation-mode and their impact on energy consumption of a switch. In this paper, the energy consumption of a switch is analyzed in extensive experiments. A fuzzy rule-based model of energy consumption of a switch is proposed based on the result of experiments. The model can be used to predict the energy saving when deploying new switches by controlling the parameters to achieve desired energy consumption and subsequent performance. Furthermore, the model can also be used for further researches on energy saving techniques such as energy-efficient routing protocol, dynamic link shutdown, etc.

Edistyneen oppijan suomen konstruktiopiirteitä korpusvetoisesti: avainrakenneanalyysi

Ensikielen jälkeen opittavan kielen tutkimusta ja suomi toisena kielenä alaa sen osana ovat koko niiden olemassaolon ajan hallinneet samat peruskysymykset: millaista oppiminen on eri vaiheissa ja eri ympäristöissä, sekä mikä oppimisessa on yleistä ja toisaalta mikä riippuu opittavasta kielestä ja oppijoiden kielitaustasta. Sähköisten oppijankielen tutkimusaineistojen eli korpusten lisääntymisen myötä tutkijat voivat aiempaa helpommin tutkia näitä ilmiöitä määrällisesti ja tarkastella oppijankielen sisäistä vaihtelua ja sen suhdetta tyypilliseen ensikieliseen kielenkäyttöön kielen eri osa-alueilla käyttöpohjaisesti eli todelliseen kielenkäyttöön pohjautuen. Tekninen kehitys on tuonut mukanaan aineisto- eli korpusvetoisuuden kaltaisia uusia tapoja lähestyä tutkimusaineistoa, jolloin tyypillisiä tutkimuskysymyksiä ”Miksi?” ja ”Miten?” edeltää kysymys: ”Mikä?”. Tässä väitöskirjassa tarkastellaan edistyneiden suomenoppijoiden kirjoitettua akateemista kieltä ja suhteutetaan suomen oppimiselle ominaisia seikkoja käyttöpohjaisen mallin perusolettamuksiin. Aineisto on suomea toisena kielenä käyttävien opiskelijoiden tenttivastauksia, ja se on osa Edistyneiden suomenoppijoiden korpusta. Tutkimus on osin metodologinen, sillä väitöskirjassa esitellään ja siinä sovelletaan uutta korpusvetoista avainrakenneanalyysi-menetelmää, jonka avulla aineistoa lähestytään ilman hypoteeseja siitä, mitkä kielen ilmiöt ovat ominaisia edistyneelle oppijansuomelle. Tutkimus kuuluu kieliopin tutkimuksen piiriin, ja se nojaa kognitiivisen konstruktiokieliopin ajatukseen abstraktiudeltaan vaihtelevista konstruktioista kielijärjestelmän perusyksiköinä. Tulokset puoltavat menetelmän sovellettavuutta kielen oppimisen tutkimukseen, sillä sen avulla kyettiin tunnistamaan konstruktioita, jotka erottavat edistyneitä oppijoita ensikielisistä kirjoittajista (esim. modaaliset verbiketjut), eri ensikieliä puhuvia suomenoppijoita (esim. konjunktiot) sekä konstruktioita, joiden käyttö muuttuu ajan kuluessa (esim. preteriti ja preesens). Monet havaitut erot ovat akateemisen kirjoittamisen erityispiirteitä, mikä tukee ajatusta kielen käyttö- ja kontekstikohtaisesta oppimisesta. Tuloksia voidaan yhtäältä soveltaa akateemisen kielitaidon opetuksessa. Toisaalta menetelmää voidaan käyttää kielenoppimisen tutkimuksen ohella uusien näkökulmien kartoittamiseksi erilaisten tai eri-ikäisten tekstien tyypillisten ominaisuuksien ja erojen tutkimuksessa.

Responding to Changing Student Demographics in Finland: A Study of Teachers’ Developing Cultural Competence

The aim of this dissertation was to examine the skills and knowledge that pre-service teachers and teachers have and need about working with multilingual and multicultural students from immigrant backgrounds. The specific goals were to identify pre-service teachers’ and practising teachers’ current knowledge and awareness of culturally and linguistically responsive teaching, identify a profile of their strengths and needs, and devise appropriate professional development support and ways to prepare teachers to become equitable culturally responsive practitioners. To investigate these issues, the dissertation reports on six original empirical studies within two groups of teachers: international pre-service teacher education students from over 25 different countries as well as pre-service and practising Finnish teachers. The international pre-service teacher sample consisted of (n = 38, study I; and n = 45, studies II-IV) and the pre-service and practising Finnish teachers sample encompassed (n = 89, study V; and n = 380, study VI). The data used were multi-source including both qualitative (students’ written work from the course including journals, final reflections, pre- and post-definition of key terms, as well as course evaluation and focus group transcripts) and quantitative (multi-item questionnaires with open-ended options), which enhanced the credibility of the findings resulting in the triangulation of data. Cluster analytic procedures, multivariate analysis of variance (MANOVA), and qualitative analyses mostly Constant Comparative Approach were used to understand pre-service teachers’ and practising teachers’ developing cultural understandings. The results revealed that the mainly white / mainstream teacher candidates in teacher education programmes bring limited background experiences, prior socialisation, and skills about diversity. Taking a multicultural education course where identity development was a focus, positively influenced teacher candidates’ knowledge and attitudes toward diversity. The results revealed approaches and strategies that matter most in preparing teachers for culturally responsive teaching, including but not exclusively, small group activities and discussions, critical reflection, and field immersion. This suggests that there are already some tools to address the need for the support needed to teach successfully a diversity of pupils and provide in-service training for those already practising the teaching profession. The results provide insight into aspects of teachers’ knowledge about both the linguistic and cultural needs of their students, as well as what constitutes a repertoire of approaches and strategies to assure students’ academic success. Teachers’ knowledge of diversity can be categorised into sound awareness, average awareness, and low awareness. Knowledge of diversity was important in teachers’ abilities to use students’ language and culture to enhance acquisition of academic content, work effectively with multilingual learners’ parents/guardians, learn about the cultural backgrounds of multilingual learners, link multilingual learners’ prior knowledge and experience to instruction, and modify classroom instruction for multilingual learners. These findings support the development of a competency based model and can be used to frame the studies of pre-service teachers, as well as the professional development of practising teachers in increasingly diverse contexts. The present set of studies take on new significance in the current context of increasing waves of migration to Europe in general and Finland in particular. They suggest that teacher education programmes can equip teachers with the necessary attitudes, skills, and knowledge to enable them work effectively with students from different ethnic and language backgrounds as they enter the teaching profession. The findings also help to refine the tools and approaches to measuring the competencies of teachers teaching in mainstream classrooms and candidates in preparation.

Variance reduction properties of dynamic hedging models - empirical evidence from BRICS countries

This Master’s Thesis analyses the effectiveness of different hedging models on BRICS (Brazil, Russia, India, China, and South Africa) countries. Hedging performance is examined by comparing two different dynamic hedging models to conventional OLS regression based model. The dynamic hedging models being employed are Constant Conditional Correlation (CCC) GARCH(1,1) and Dynamic Conditional Correlation (DCC) GARCH(1,1) with Student’s t-distribution. In order to capture the period of both Great Moderation and the latest financial crisis, the sample period extends from 2003 to 2014. To determine whether dynamic models outperform the conventional one, the reduction of portfolio variance for in-sample data with contemporaneous hedge ratios is first determined and then the holding period of the portfolios is extended to one and two days. In addition, the accuracy of hedge ratio forecasts is examined on the basis of out-of-sample variance reduction. The results are mixed and suggest that dynamic hedging models may not provide enough benefits to justify harder estimation and daily portfolio adjustment. In this sense, the results are consistent with the existing literature.

Coopetition as a lead generating mechanism: design, modelling and simulation

The aim of this research is to develop a tool that could allow to organize coopetitional relationships between organizations on the basis of two-sided Internet platform. The main result of current master thesis is a detailed description of the concept of the lead generating internet platform-based coopetition. With the tools of agent-based modelling and simulation, there were obtained results that could be used as a base for suggestion that the developed concept is able to cause a positive effect on some particular industries (e.g. web-design studios market) and potentially can bring some benefits and extra profitability for most companies that operate on this particular industry. Also on the basis of the results it can be assumed that the developed instrument is also able to increase the degree of transparency of the market to which it is applied.

RCOS: Real time context sharing across a fleet of smart mobile devices

Today, biodiversity is endangered by the currently applied intensive farming methods imposed on food producers by intermediate actors (e.g.: retailers). The lack of a direct communication technology between the food producer and the consumer creates dependency on the intermediate actors for both producers and the consumers. A tool allowing producers to directly and efficiently market produce that meets customer demands could greatly reduce the dependency enforced by intermediate actors. To this end, in this thesis, we propose, develop, implement and validate a Real Time Context Sharing (RCOS) system. RCOS takes advantage of the widely used publish/subscribe paradigm to exchange messages between producers and consumers, directly, according to their interest and context. Current systems follow a topic-based model or a content-based model. With RCOS, we propose a context-awareness approach into the matching process of publish/subscribe paradigm. Finally, as a proof of concept, we extend the Apache ActiveMQ Artemis software and create a client prototype. We evaluate our proof of concept for larger scale deployment.

A generalized 1D particle transport method for convection diffusion reaction model

This work is devoted to the development of numerical method to deal with convection diffusion dominated problem with reaction term, non - stiff chemical reaction and stiff chemical reaction. The technique is based on the unifying Eulerian - Lagrangian schemes (particle transport method) under the framework of operator splitting method. In the computational domain, the particle set is assigned to solve the convection reaction subproblem along the characteristic curves created by convective velocity. At each time step, convection, diffusion and reaction terms are solved separately by assuming that, each phenomenon occurs separately in a sequential fashion. Moreover, adaptivities and projection techniques are used to add particles in the regions of high gradients (steep fronts) and discontinuities and transfer a solution from particle set onto grid point respectively. The numerical results show that, the particle transport method has improved the solutions of CDR problems. Nevertheless, the method is time consumer when compared with other classical technique e.g., method of lines. Apart from this advantage, the particle transport method can be used to simulate problems that involve movingsteep/smooth fronts such as separation of two or more elements in the system.

Model based analysis of the post-combustion calcium looping process for carbon dioxide capture

This thesis presents a one-dimensional, semi-empirical dynamic model for the simulation and analysis of a calcium looping process for post-combustion CO2 capture. Reduction of greenhouse emissions from fossil fuel power production requires rapid actions including the development of efficient carbon capture and sequestration technologies. The development of new carbon capture technologies can be expedited by using modelling tools. Techno-economical evaluation of new capture processes can be done quickly and cost-effectively with computational models before building expensive pilot plants. Post-combustion calcium looping is a developing carbon capture process which utilizes fluidized bed technology with lime as a sorbent. The main objective of this work was to analyse the technological feasibility of the calcium looping process at different scales with a computational model. A one-dimensional dynamic model was applied to the calcium looping process, simulating the behaviour of the interconnected circulating fluidized bed reactors. The model incorporates fundamental mass and energy balance solvers to semi-empirical models describing solid behaviour in a circulating fluidized bed and chemical reactions occurring in the calcium loop. In addition, fluidized bed combustion, heat transfer and core-wall layer effects were modelled. The calcium looping model framework was successfully applied to a 30 kWth laboratory scale and a pilot scale unit 1.7 MWth and used to design a conceptual 250 MWth industrial scale unit. Valuable information was gathered from the behaviour of a small scale laboratory device. In addition, the interconnected behaviour of pilot plant reactors and the effect of solid fluidization on the thermal and carbon dioxide balances of the system were analysed. The scale-up study provided practical information on the thermal design of an industrial sized unit, selection of particle size and operability in different load scenarios.