Optimisation of data analysis method for a fluidized bed combustion test rig

Nowadays the used fuel variety in power boilers is widening and new boiler constructions and running models have to be developed. This research and development is done in small pilot plants where more faster analyse about the boiler mass and heat balance is needed to be able to find and do the right decisions already during the test run. The barrier on determining boiler balance during test runs is the long process of chemical analyses of collected input and outputmatter samples. The present work is concentrating on finding a way to determinethe boiler balance without chemical analyses and optimise the test rig to get the best possible accuracy for heat and mass balance of the boiler. The purpose of this work was to create an automatic boiler balance calculation method for 4 MW CFB/BFB pilot boiler of Kvaerner Pulping Oy located in Messukylä in Tampere. The calculation was created in the data management computer of pilot plants automation system. The calculation is made in Microsoft Excel environment, which gives a good base and functions for handling large databases and calculations without any delicate programming. The automation system in pilot plant was reconstructed und updated by Metso Automation Oy during year 2001 and the new system MetsoDNA has good data management properties, which is necessary for big calculations as boiler balance calculation. Two possible methods for calculating boiler balance during test run were found. Either the fuel flow is determined, which is usedto calculate the boiler's mass balance, or the unburned carbon loss is estimated and the mass balance of the boiler is calculated on the basis of boiler's heat balance. Both of the methods have their own weaknesses, so they were constructed parallel in the calculation and the decision of the used method was left to user. User also needs to define the used fuels and some solid mass flowsthat aren't measured automatically by the automation system. With sensitivity analysis was found that the most essential values for accurate boiler balance determination are flue gas oxygen content, the boiler's measured heat output and lower heating value of the fuel. The theoretical part of this work concentrates in the error management of these measurements and analyses and on measurement accuracy and boiler balance calculation in theory. The empirical part of this work concentrates on the creation of the balance calculation for the boiler in issue and on describing the work environment.

The Cycle Times of Working Capital: Financial Value Chain Analysis Method

Interest towards working capital management increased among practitioners and researchers because the financial crisis of 2008 caused the deterioration of the general financial situation. The importance of managing working capital effectively increased dramatically during the financial crisis. On one hand, companies highlighted the importance of working capital management as part of short-term financial management to overcome funding difficulties. On the other hand, in academia, it has been highlighted the need to analyze working capital management from a wider perspective namely from the value chain perspective. Previously, academic articles mostly discussed working capital management from a company-centered perspective. The objective of this thesis was to put working capital management in a wider and more academic perspective and present case studies of the value chains of industries as instrumental in theoretical contributions and practical contributions as complementary to theoretical contributions and conclusions. The principal assumption of this thesis is that selffinancing of value chains can be established through effective working capital management. Thus, the thesis introduces the financial value chain analysis method which is employed in the empirical studies. The effectiveness of working capital management of the value chains is studied through the cycle time of working capital. The financial value chain analysis method employed in this study is designed for considering value chain level phenomena. This method provides a holistic picture of the value chain through financial figures. It extends the value chain analysis to the industry level. Working capital management is studied by the cash conversion cycle that measures the length (days) of time a company has funds tied up in working capital, starting from the payment of purchases to the supplier and ending when remittance of sales is received from the customers. The working capital management practices employed in the automotive, pulp and paper and information and communication technology industries have been studied in this research project. Additionally, the Finnish pharmaceutical industry is studied to obtain a deeper understanding of the working capital management of the value chain. The results indicate that the cycle time of working capital is constant in the value chain context over time. The cash conversion cycle of automotive, pulp and paper, and ICT industries are on average 70, 60 and 40 days, respectively. The difference is mainly a consequence of the different cycle time of inventories. The financial crisis of 2008 affected the working capital management of the industries similarly. Both the cycle time of accounts receivable and accounts payable increased between 2008 and 2009. The results suggest that the companies of the automotive, pulp and paper and ICT value chains were not able to self-finance. Results do not indicate the improvement of value chains position in regard to working capital management either. The findings suggest that companies operating in the Finnish pharmaceutical industry are interested in developing their own working capital management, but collaboration with the value chain partners is not considered interesting. Competition no longer occurs between individual companies, but between value chains. Therefore the financial value chain analysis method introduced in this thesis has the potential to support value chains in improving their competitiveness.

Role of oxidation-reduction cycle of iron in direct leaching of zinc concentrate

Direct leaching is an alternative to conventional roast-leach-electrowin (RLE) zinc production method. The basic reaction of direct leach method is the oxidation of sphalerite concentrate in acidic liquid by ferric iron. The reaction mechanism and kinetics, mass transfer and current modifications of zinc concentrate direct leaching process are considered. Particular attention is paid to the oxidation-reduction cycle of iron and its role in direct leaching of zinc concentrate, since it can be one of the limiting factors of the leaching process under certain conditions. The oxidation-reduction cycle of iron was experimentally studied with goal of gaining new knowledge for developing the direct leaching of zinc concentrate. In order to obtain this aim, ferrous iron oxidation experiments were carried out. Affect of such parameters as temperature, pressure, sulfuric acid concentration, ferrous iron and copper concentrations was studied. Based on the experimental results, mathematical model of the ferrous iron oxidation rate was developed. According to results obtained during the study, the reaction rate orders for ferrous iron concentration, oxygen concentration and copper concentration are 0.777, 0.652 and 0.0951 respectively. Values predicted by model were in good concordance with the experimental results. The reliability of estimated parameters was evaluated by MCMC analysis which showed good parameters reliability.

Starch analysis as a method to discover subsistence strategies in prehistoric Finland and Estonia

Ancient starch analysis is a microbotanical method in which starch granules are extracted from archaeological residues and the botanical source is identified. The method is an important addition to established palaeoethnobotanical research, as it can reveal ancient microremains of starchy staples such as cereal grains and seeds. In addition, starch analysis can detect starch originating from underground storage organs, which are rarely discovered using other methods. Because starch is tolerant of acidic soils, unlike most organic matter, starch analysis can be successful in northern boreal regions. Starch analysis has potential in the study of cultivation, plant domestication, wild plant usage and tool function, as well as in locating activity areas at sites and discovering human impact on the environment. The aim of this study was to experiment with the starch analysis method in Finnish and Estonian archaeology by building a starch reference collection from cultivated and native plant species, by developing sampling, measuring and analysis protocols, by extracting starch residues from archaeological artefacts and soils, and by identifying their origin. The purpose of this experiment was to evaluate the suitability of the method for the study of subsistence strategies in prehistoric Finland and Estonia. A total of 64 archaeological samples were analysed from four Late Neolithic sites in Finland and Estonia, with radiocarbon dates ranging between 2904 calBC and 1770 calBC. The samples yielded starch granules, which were compared with the starch reference collection and descriptions in the literature. Cereal-type starch was identified from the Finnish Kiukainen culture site and from the Estonian Corded Ware site. The samples from the Finnish Corded Ware site yielded underground storage organ starch, which may be the first evidence of the use of rhizomes as food in Finland. No cereal-type starch was observed. Although the sample sets were limited, the experiment confirmed that starch granules have been preserved well in the archaeological material of Finland and Estonia, and that differences between subsistence patterns, as well as evidence of cultivation and wild plant gathering, can be discovered using starch analysis. By collecting large sample sets and addressing the three most important issues – preventing contamination, collecting adequate references and understanding taphonomic processes – starch analysis can substantially contribute to research on ancient subsistence in Finland and Estonia.

Ohjelmistoyritysten liiketoimintamallit Kaakkois-Suomessa

Tutkielman tavoitteena on tunnistaa Kaakkois-Suomen alueella olevat ohjelmistoyritysten tyypilliset yritysryhmät ja kuvata niiden toimintaa. Tunnistamalla alueen ohjelmistoyrityksille ominaiset piirteet työ antaa myös pohjaa tulevien kehityskohteiden löytämisessä ja kehitystoimenpiteiden kohdistamisessa useisiin samantyyppisiin yrityksiin. Työn taustaksi esitellään ohjelmistoalaa ja ohjelmistoliiketoiminnan malleja, joiden pohjalta muodostetaan viitekehys alueen ohjelmistoyritysten empiiriseen tarkasteluun. Empiriaosuudessa tarkastellaan työn teoreettisessa osiossa esitettyjen liiketoimintamallien toteutumista Kaakkois-Suomessa ja ryhmitellään alueen ohjelmistoyritykset erottelevimpien tekijöiden avulla. Tutkimus on luonteeltaan kvantitatiivinen kokonaistutkimus Kaakkois-Suomen ohjelmistoyrityksistä, ja tutkimusotteeltaan deskriptiivinen eli kuvaileva. Tutkimusaineisto perustui tutkimusryhmän suorittamaan strukturoituun haastatteluun, jossa haastateltiin kaikkiaan 58 ohjelmistoyrityksen vastuuhenkilöitä. Tutkimustulosten perusteella alueelta pystyttiin tunnistamaan neljä toimintatavoiltaan erilaista ohjelmistoliiketoiminnan perustyyppiä: asiakaslähtöiset toimijat (26 toimipaikkaa), räätälöijät (14 toimipaikkaa), integroijat (10 toimipaikkaa) ja tuotteistajat (8 toimipaikkaa). Tulokset osoittavat, että perinteisten ohjelmistoalan liiketoimintamallien kuvaukset ja niistä tehtävät yleistykset antavat hyvän lähtökohdan ohjelmistoyritysten tarkasteluun. Kuitenkin perinteisten ohjelmistoalan liiketoimintamallien antama näkökulma on liian rajoittunut,jos halutaan tarkastella syvällisemmin ohjelmistoyritysten liiketoimintalogiikkaa.

Capillary electrophoresis for monitoring of carboxylic, phenolic and amino acids in bioprocesses

Bioprocess technology is a multidisciplinary industry that combines knowledge of biology and chemistry with process engineering. It is a growing industry because its applications have an important role in the food, pharmaceutical, diagnostics and chemical industries. In addition, the current pressure to decrease our dependence on fossil fuels motivates new, innovative research in the replacement of petrochemical products. Bioprocesses are processes that utilize cells and/or their components in the production of desired products. Bioprocesses are already used to produce fuels and chemicals, especially ethanol and building-block chemicals such as carboxylic acids. In order to enable more efficient, sustainable and economically feasible bioprocesses, the raw materials must be cheap and the bioprocesses must be operated at optimal conditions. It is essential to measure different parameters that provide information about the process conditions and the main critical process parameters including cell density, substrate concentrations and products. In addition to offline analysis methods, online monitoring tools are becoming increasingly important in the optimization of bioprocesses. Capillary electrophoresis (CE) is a versatile analysis technique with no limitations concerning polar solvents, analytes or samples. Its resolution and efficiency are high in optimized methods creating a great potential for rapid detection and quantification. This work demonstrates the potential and possibilities of CE as a versatile bioprocess monitoring tool. As a part of this study a commercial CE device was modified for use as an online analysis tool for automated monitoring. The work describes three offline CE analysis methods for the determination of carboxylic, phenolic and amino acids that are present in bioprocesses, and an online CE analysis method for the monitoring of carboxylic acid production during bioprocesses. The detection methods were indirect and direct UV, and laser-induced frescence. The results of this work can be used for the optimization of bioprocess conditions, for the development of more robust and tolerant microorganisms, and to study the dynamics of bioprocesses.

Data analysis tools and methods for DNA microarray and high-throughput sequencing data

The recent rapid development of biotechnological approaches has enabled the production of large whole genome level biological data sets. In order to handle thesedata sets, reliable and efficient automated tools and methods for data processingand result interpretation are required. Bioinformatics, as the field of studying andprocessing biological data, tries to answer this need by combining methods and approaches across computer science, statistics, mathematics and engineering to studyand process biological data. The need is also increasing for tools that can be used by the biological researchers themselves who may not have a strong statistical or computational background, which requires creating tools and pipelines with intuitive user interfaces, robust analysis workflows and strong emphasis on result reportingand visualization. Within this thesis, several data analysis tools and methods have been developed for analyzing high-throughput biological data sets. These approaches, coveringseveral aspects of high-throughput data analysis, are specifically aimed for gene expression and genotyping data although in principle they are suitable for analyzing other data types as well. Coherent handling of the data across the various data analysis steps is highly important in order to ensure robust and reliable results. Thus,robust data analysis workflows are also described, putting the developed tools andmethods into a wider context. The choice of the correct analysis method may also depend on the properties of the specific data setandthereforeguidelinesforchoosing an optimal method are given. The data analysis tools, methods and workflows developed within this thesis have been applied to several research studies, of which two representative examplesare included in the thesis. The first study focuses on spermatogenesis in murinetestis and the second one examines cell lineage specification in mouse embryonicstem cells.

Valmentamisen hyödyntäminen työntekijöiden motivoinnissa

Tutkimuksen tavoitteena on tutkia voidaanko työntekijöitä motivoida valmentamisen avulla sekä löytää keinoja ja uusia työkaluja kohdeorganisaation työntekijöiden valmentamisen kehittämiseen. Tutkimuskysymys on ”Kuinka työmotivaatioon voidaan vaikuttaa henkilökohtaisen valmentamisen avulla?”. Tämä tapaustutkimus toteutettiin finanssialan yritykselle laadullisena tutkimuksena ja aineisto kerättiin haastattelemalla puolistrukturoidusti neljää kohdeorganisaation työntekijää. Aineisto analysoitiin sisällönanalyysimenetelmää hyödyntäen. Tutkimustulosten mukaan valmentamisen avulla pystytään vaikuttamaan henkilöstön työmotivaatioon, kun työntekijä on itse siihen asenteiltaan sekä mieleltään vastaanottavainen. Motivaatio jakautuu sisäiseen ja ulkoiseen motivaatioon, joista sisäiseen motivaatioon pystytään vaikuttamaan esimerkiksi mielenkiintoisen työn voimin ja ulkoiseen esimerkiksi palkkauksen avulla. Asiantuntijaorganisaation henkilöstön motivaatiolla on suora vaikutus organisaation suorituskykyyn sekä työyhteisön ilmapiiriin. Tulevaisuudessa kohdeorganisaation tulee panostaa erityisesti yksilölliseen valmentamiseen sekä palautemyönteiseen työilmapiiriin. Uudeksi motivointikeinoksi kohdeorganisaatiolle ehdotetaan ryhmävalmennusta, joka tukee palautteenantamisen kulttuuria sekä motivoi ja sparraa työyhteisöä

Confronting a victim of intimate partner violence in nursing care : a literature review

Intimate partner violence is a growing problem in health care. The purpose of this thesis was to find ways of confronting a victim of intimate partner violence in nursing care and methods how nurses can encourage the victim to disclose the abuse. The aim of this thesis was to help the health care professionals to understand the issue and the need of the victims better, and that way provide a better care. This thesis is a literature review of previously made research articles about intimate partner violence. The research material consisted of 10 published articles, which were collected from different databases. The articles were published within 10 years. A content analysis method was used to examine the articles by making descriptive summary tables according to each questions. The results of this study showed multiple factors which the health care providers should take into consideration when caring the patients. Asking with a non-judgemental attitude, in a safe, confidential setting without the partner present and prioritizing the abuse was mentioned to be important for the victims. Routinely screening and different kind of brochures was considered as good methods to encourage the victims to disclose the abuse. The need for better training and counselling of the health care providers was also discovered. The results of this thesis, did answer to the chosen study questions and that way the purpose of the thesis was filled. Hopefully, in the future this problem can be minimized and prevented in advanced. Further studies are needed to examine whether these caring methods are actually being used in clinical settings and do they have any effect.

Kehityspolkuanalyysi tilastollisena menetelmänä : soveltajan näkökulma

Summary: An applied viewpoint to the trajectory analysis method

On the Condition Monitoring of Induction machines

The research of condition monitoring of electric motors has been wide for several decades. The research and development at universities and in industry has provided means for the predictive condition monitoring. Many different devices and systems are developed and are widely used in industry, transportation and in civil engineering. In addition, many methods are developed and reported in scientific arenas in order to improve existing methods for the automatic analysis of faults. The methods, however, are not widely used as a part of condition monitoring systems. The main reasons are, firstly, that many methods are presented in scientific papers but their performance in different conditions is not evaluated, secondly, the methods include parameters that are so case specific that the implementation of a systemusing such methods would be far from straightforward. In this thesis, some of these methods are evaluated theoretically and tested with simulations and with a drive in a laboratory. A new automatic analysis method for the bearing fault detection is introduced. In the first part of this work the generation of the bearing fault originating signal is explained and its influence into the stator current is concerned with qualitative and quantitative estimation. The verification of the feasibility of the stator current measurement as a bearing fault indicatoris experimentally tested with the running 15 kW induction motor. The second part of this work concentrates on the bearing fault analysis using the vibration measurement signal. The performance of the micromachined silicon accelerometer chip in conjunction with the envelope spectrum analysis of the cyclic bearing faultis experimentally tested. Furthermore, different methods for the creation of feature extractors for the bearing fault classification are researched and an automatic fault classifier using multivariate statistical discrimination and fuzzy logic is introduced. It is often important that the on-line condition monitoring system is integrated with the industrial communications infrastructure. Two types of a sensor solutions are tested in the thesis: the first one is a sensor withcalculation capacity for example for the production of the envelope spectra; the other one can collect the measurement data in memory and another device can read the data via field bus. The data communications requirements highly depend onthe type of the sensor solution selected. If the data is already analysed in the sensor the data communications are needed only for the results but in the other case, all measurement data need to be transferred. The complexity of the classification method can be great if the data is analysed at the management level computer, but if the analysis is made in sensor itself, the analyses must be simple due to the restricted calculation and memory capacity.

Characterization of board impurities with a Raman device

Erilaisia epäpuhtauksia kulkeutuu paperinvalmistusprosessiin ja monenlaisia saostumia muodostuu paperinvalmistuksen prosesseissa. Epäpuhtaudet voivat aiheuttaa prosessiongelmia sekä alentaa tuotteen laatua. Epäpuhtauksien alkuperän ja koostumuksen selvittäminen edellyttää usein erilaisten analyysimenetelmien käyttöä. Epäpuhtauksien luokittelu on useasti välttämätöntä ennen tarkempaa kemiallista analyysia. Paperinvalmistuksen epäpuhtauksien kvalitatiiviseen luokitteluun on yleisimmin käytetty mikroskopian, IR-spektroskopian ja analyyttisen pyrolyysin menetelmiä. Raman spektroskopia on harvinaisempi menetelmä paperiteollisuuden tutkimuksessa. Raman instrumenttien kehittyminen on ollut voimakasta viimeisen vuosikymmenen aikana. Raman spektroskopia onkin osoittanut mandollisuutensa polymeerien, lääketeollisuuden ja polttoaineteollisuuden tutkimuksissa. Tässä työssä tutkittiin erään elintarvikepakkauskartongin epäpuhtauksia Raman spektroskoopilla. Työn tavoitteena oli selvittää Raman analyysin käyttökelpoisuutta kartongin epäpuhtauksien online-luokittelussa. Tutkimukset suoritettiin Spectracoden RP-1 Raman instrumentilla. Tutkimukset osoittivat, että näytteen fluoresenssi ja näytteen hajoaminen asettavat rajoituksia epäpuhtauksien Raman analyysille. Epäpuhtauksien online-tunnistaminen toimii käytettäessä suuria lasertehoja ja säteilytysaikoja. Näytteiden laserherkkyys ja fluoresenssi rajoittavat kuitenkin suurien laiteparametrien käyttöä. Laiteparametrien pienentäminen johti mittauksien signaali-kohina suhteen alenemiseen, mikä puolestaan aiheutti online-tunnistuksen toimimattomuuden.

Ranking RegionalInnovation Policies: DEA-based Benchmarking in an European Setting

Seudullinen innovaatio on monimutkainen ilmiö, joka usein sijaitsee paikallisten toimijoiden keskinäisen vuorovaikutuksen kentässä. Täten sitä on perinteisesti pidetty vaikeasti mitattavana ilmiönä. Työssä sovellettiin Data Envelopment Analysis menetelmää, joka on osoittautunut aiemmin menestyksekkääksi tapauksissa, joissa mitattavien syötteiden ja tuotteiden väliset suhteet eivät ole olleet ilmeisiä. Työssä luotiin konseptuaalinen malli seudullisen innovaation syötteistä ja tuotteista, jonka perusteella valittiin 12 tilastollisen muuttujan mittaristo. Käyttäen Eurostat:ia datalähteenä, lähdedata kahdeksaan muuttujsta saatiin seudullisella tasolla, sekä mittaristoa täydennettiin yhdellä kansallisella muuttujalla. Arviointi suoritettiin lopulta 45 eurooppalaiselle seudulle. Tutkimuksen painopiste oli arvioida DEA-menetelmän soveltuvuutta innovaatio-järjestelmän mittaamiseen, sillä menetelmää ei ole aiemmin sovellettu vastaavassa tapauksessa. Ensimmäiset tulokset osoittivat ylipäätään liiallisen korkeita tehok-kuuslukuja. Korjaustoimenpiteitä erottelutarkkuuden parantamiseksi esiteltiin ja sovellettiin, jonka jälkeen saatiin realistisempia tuloksia ja ranking-lista arvioitavista seuduista. DEA-menetelmän todettiin olevan tehokas ja kiinnostava työkalu arviointikäytäntöjen ja innovaatiopolitiikan kehittämiseen, sikäli kun datan saatavuusongelmat saadaan ratkaistua sekä itse mallia tarkennettua.

Laadullinen tutkimus metsäteollisuuden ohjelmistotoimittajista Kaakkois-Suomessa: Nykytilanne

Tutkimuksen tavoitteena on selvittää paikallisten metsäteollisuuteen toimittavien pienten ja keskisuurten ohjelmistoyritysten nykytilannetta, hyviä käytäntöjä ja toiminnan ongelmia. Tunnistamalla pienten ja keskisuurten ohjelmistoyritysten nykytilanne on mahdollista suunnitella konkreettisia yrityksille suunnattavia kehittämistoimenpiteitä. Työssä on keskitytty tutkimaan metsäteollisuuteen toimittavia kaakkoissuomaisia pieniä ja keskisuuria ohjelmistoyrityksiä. Työn viitekehyksenä esitellään metsäteollisuuden nykytilannetta, kehitystrendejä sekä kehitystrendien vaikutusta metsäteollisuusyritysten tietojärjestelmätarpeisiin. Lisäksi työn viitekehyksessä esitellään tutkimuksessa käytetyt kvalitatiiviset tutkimusmenetelmät.Tutkimus on luonteeltaan kvalitatiivinen eli laadullinen ja tutkimusotteeltaan deskriptiivinen eli kuvaileva. Tutkimusaineisto koostui 19 asiantuntijahaastattelusta ja dokumenttiaineistosta. Tutkimusaineiston analysoinnissa käytin aineistopohjaista meneelmää ja tapaustutkimusta. Tutkimustulosten perusteella pystyttiinkuvaamaan tutkimuksessa mukana olleille 10 paikalliselle pienelle ja keskisuurelle ohjelmistoyritykselle yhteisiä ominaisuuksia. Tämän lisäksi pystyttiin tunnistamaan ohjelmistoyrityksistä kolme erilaista tyyppiä ja luonnehtimaan kunkin tyypin nykytilannetta, hyviä käytäntöjä ja toiminnan ongelmia. Tunnistetut paikallisten pienten ja keskisuurten ohjelmistoyritysten tyypit ovat: erikoistuja, ennakoija ja keräilijä. Tutkimustulokset antavat hyvän lähtökohdan tulevaisuuden kehitystrendien tunnistamisessa ja toiminnankehitystoimenpiteiden suunnittelussa.

A Feasibility Study of a Pelleting Plant as an Option for By Product Upgrading in Wood-Processing Industry

Tämän kannattavuustutkimuksen lähtökohtana oli se, että Yhtyneet Sahat Oy:n Kaukaan sahalla ja Luumäen jatkojalostuslaitoksella haluttiin selvittää pellettitehtaan kannattavuus nykyisessä markkinatilanteessa. Tämä työon luonteeltaan teknis-taloudellinen selvitys eli ns. feasibility study. Pelletöintiprosessi on tekniikaltaan yksinkertainen eikä edellytä korkea teknologian laitteita. Toimiala on maailmanlaajuisesti varsin uusi. Suomessa pellettimarkkinat ovat vielä pienet ja kehittymättömät, mutta kasvua on viime vuosina tapahtunut. Valtaosa kotimaan tuotannosta menee vientiin. Investoinnin laskentaprosessissa saadut tuotannon alkuarvot sekä kustannusrakenteen määrittelyt ovat perustana varsinaisille kannattavuuslaskelmille. Laskelmista on selvitetty investointeihin liittyvät yleisimmät taloudelliset tunnusluvut ja herkimpiä muuttujia on tutkittu ja pohdittu herkkyysanalyysiä apuna käyttäen.