688 resultados para Halttu, Mika


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Performance standards for Positron emission tomography (PET) were developed to be able to compare systems from different generations and manufacturers. This resulted in the NEMA methodology in North America and the IEC in Europe. In practices, the NEMA NU 2- 2001 is the method of choice today. These standardized methods allow assessment of the physical performance of new commercial dedicated PET/CT tomographs. The point spread in image formation is one of the factors that blur the image. The phenomenon is often called the partial volume effect. Several methods for correcting for partial volume are under research but no real agreement exists on how to solve it. The influence of the effect varies in different clinical settings and it is likely that new methods are needed to solve this problem. Most of the clinical PET work is done in the field of oncology. The whole body PET combined with a CT is the standard investigation today in oncology. Despite the progress in PET imaging technique visualization, especially quantification of small lesions is a challenge. In addition to partial volume, the movement of the object is a significant source of error. The main causes of movement are respiratory and cardiac motions. Most of the new commercial scanners are in addition to cardiac gating, also capable of respiratory gating and this technique has been used in patients with cancer of the thoracic region and patients being studied for the planning of radiation therapy. For routine cardiac applications such as assessment of viability and perfusion only cardiac gating has been used. However, the new targets such as plaque or molecular imaging of new therapies require better control of the cardiac motion also caused by respiratory motion. To overcome these problems in cardiac work, a dual gating approach has been proposed. In this study we investigated the physical performance of a new whole body PET/CT scanner with NEMA standard, compared methods for partial volume correction in PET studies of the brain and developed and tested a new robust method for dual cardiac-respiratory gated PET with phantom, animal and human data. Results from performance measurements showed the feasibility of the new scanner design in 2D and 3D whole body studies. Partial volume was corrected, but there is no best method among those tested as the correction also depends on the radiotracer and its distribution. New methods need to be developed for proper correction. The dual gating algorithm generated is shown to handle dual-gated data, preserving quantification and clearly eliminating the majority of contraction and respiration movement

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This thesis investigates performance persistence among the equity funds investing in Russia during 2003-2007. Fund performance is measured using several methods including the Jensen alpha, the Fama-French 3- factor alpha, the Sharpe ratio and two of its variations. Moreover, we apply the Bayesian shrinkage estimation in performance measurement and evaluate its usefulness compared with the OLS 3-factor alphas. The pattern of performance persistence is analyzed using the Spearman rank correlation test, cross-sectional regression analysis and stacked return time series. Empirical results indicate that the Bayesian shrinkage estimates may provide better and more accurate estimates of fund performance compared with the OLS 3-factor alphas. Secondly, based on the results it seems that the degree of performance persistence is strongly related to length of the observation period. For the full sample period the results show strong signs of performance reversal whereas for the subperiod analysis the results indicate performance persistence during the most recent years.

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Tutkimukseni aiheena on tarkastella datanomiopiskelijoita sosiaalisen median käyttäjinä. Sosiaalisen median käyttö opetuksessa on nykypäivänä jo aika yleistä. Erilaisia sosiaalisen median keinoja käytetään jo kaikilla oppiasteilla. Opettajan on tärkeää tuntea eri palvelujen tarkoitukset ja soveltuvuus opetustilanteeseen. Työn tarkoitus on tutkia sosiaalisen median palveluja kuudesta eri näkökulmasta, jotka tukevat opetusta ja oppimista. Näitä ovat verkostoitumispalvelut, virtuaalimaailmat, sisällöllinen kirjoittaminen, verkko-oppimisympäristöt, videoverkkopalvelut ja verkkoviestintäpalvelut. Työssä tutkitaan Lappeenrannan Palvelualojen koulun datanomiopiskelijoiden sosiaalisen median palvelujen käyttämistä sekä kysytään käyttöaktiivisuutta ja mielipidettä palvelujen käyttämiseen opetuksessa. Tutkimustulokset antavat kuvan siitä, minkälaisia sosiaalisen median palveluja opiskelijat käyttävät. Tutkimus osoittaa, että datanomiopiskelijat käyttävät sosiaalisen median palveluja ahkerasti, erityisesti wikiä, blogia ja pikaviestimiä sekä Moodle-oppimisympäristöä. Tutkimuksen perusteella voidaan kehittää opetuksen laatua ja opetusmenetelmiä sosiaalisen median opetuskäyttöä tukevaksi. Opettajan rooli muuttuu sosiaalisen median palvelujen käytön myötä yhä enemmän ohjaavaksi ja tasa-arvoiseksi opiskelijoiden kanssa. Opetus muuttuu yhteisöllisemmäksi ja verkostoituneemmaksi. Opettajan ja opiskelijoiden vuorovaikutustaitojen merkitys korostuu. Myös tulevaisuuden haasteet ja ennen kaikkea mahdollisuudet nousevat esiin. Opetuksen suunnittelussa on hyvä pystyä huomioimaan uudet mahdollisuudet ja käyttää niitä kattavasti.

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Työn tavoitteena oli tutkia elinkaari- ja tavoitekustannuslaskentaa osana tuotteen hinnoittelua sekä tutustua yrityskohtaiseen ansaintakykymalliin ja sen käyttöön. Ensin työlle luotiin teoreettinen pohja kirjallisuuslähteiden perusteella, minkä lisäksi empiirisenä aineistona käytettiin yrityskohtaista ansaintakykymallia. Työn alussa esitettiin perustiedot hinnoittelusta sekä kustannuslaskennasta, jotta tutkielma etenisi loogisena kokonaisuutena ja lukijan olisi helpompi ymmärtää elinkaari- ja tavoitekustannuslaskennan toimintaperiaatteet. Seuraavaksi kartoitettiin elinkaari- ja tavoitekustannuslaskentaa prosessina ja keskityttiin edellä mainittujen menetelmien etuihin ja ongelmiin. Laskentamenetelmiä tutkittiin laaja-alaisesti kirjallisuutta, artikkeleita ja www-dokumentteja hyödyntäen. Lopuksi esiteltiin yrityskohtainen ansaintakykymalli esimerkin avulla ja analysoitiin mallia hyödyntäen elinkaari- ja tavoitekustannuslaskentaa. Samalla luotiin kattava kuva konkreettisesta tavoitekustannus- ja elinkaarilaskennan soveltamisesta yritysmaailmassa. Tutkielman tuloksena saatiin esiteltyä elinkaari- ja tavoitekustannuslaskenta osana tuotteen hinnoittelua. Ansaintakykymallin esittelyllä saatiin muodostettua sidos yritysmaailmaan ja siihen, miten työssä esiteltyjä laskentatoimen menetelmiä sovelletaan käytännössä. Tuloksissa saatiin lisäksi esiteltyä erilaisten hinnoittelustrategioiden eroavaisuuksia, hinnanasetantaa prosessina sekä kustannuslaskentaa hinnoittelun tukena.

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Strategiset allianssit ovat yhteistyömuotoja, joiden taustalla on pyrkimys pitkäntähtäimen strategisten tavoitteiden saavuttamiseen. Strategisissa alliansseissa voivat toimia niin suuret ja pienet yritykset kuin julkisen sektorin organisaatiotkin. Tässä työssä strategisista alliansseista esitetään kokonaisvaltainen ja selkeä kuva. Tämän myötä niitä käsitellään omana käsitteenään ominaispiirteineen. Lisäksi strategisten allianssien toteutusvaihtoehtoja tarkastellaan taloudelliseen ja ajalliseen ulottuvuuteen rinnastaen. Motivoituneet osapuolet ovat edellytyksenä strategisen allianssin syntymiselle ja menestymiselle. Keskeisimpiä motiiveja strategiseen allianssiin ryhtymisestä tarkastellaan arvonluonnin näkökulmasta. Motiivit ovat pohjana strategisen allianssin muodostusvaiheen käynnistymiselle. Muodostusprosessia tarkastellaan kolmivaiheisen prosessin näkökulmasta, mikä kattaa päätöksenteon, kumppanin etsinnän ja valinnan sekä neuvotteluvaiheen. Työ sisältää kaksi case-esimerkkiä, joiden tarkoituksena on luoda yhteys teorian ja käytännön välille. Ensimmäisessä esimerkissä tarkastellaan pääomasidonnaista Renault – Nissan -allianssia, joka ristiinomistukseen ja yhteisyrityksiin (joint venture) perustuen toimii monipuolisena esimerkkinä. Toisessa, Sonyn ja Philipsin allianssissa, tarkastellaan ei-pääomasidonnaisen strategisen allianssin erityispiirteitä.

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Tämän diplomityön tavoitteena on tutkia kohdeyrityksen strategista muutosta perinteisestä tuotetoimittajasta ratkaisujen toimittajaksi. Toimialan muutosta arvioidaan tarkemmin, jotta voidaan selvittää kuinka yrityksen tulisi mukauttaa resurssejaan ja kyvykkyyksiään sopeutuakseen muutoksen tuomiin uusiin haasteisiin. Tarkastelun alla on erityisesti yrityksen strateginen muutos ja kuinka löytää strategian kannalta ne dynaamiset kyvykkyydet joiden avulla yritys saa pysyvää kilpailuetua. Yritykset pyrkivät strategisessa suunnittelussaan pysyvään kilpailuetuun. Strategista johtamisen teorioita on esitetty useita ja niiden kautta on vaikea selittää nykyisin nopeasti muuttuvassa toimintaympäristössä toimivien yritysten menestystä. Dynaamisten kyvykkyyksistä on haettu selitystä menestyksen taakse. Yritysten tavoitellessa kokonaan uusia liiketoiminta-alueita niihin kohdistuu suuria muutoksia niin ulkoisesti kuin sisäisestikin. Tällöin on kriittistä tunnistaa ne ydinkyvykkyydet joiden avulla voidaan menestyä uusilla liiketoiminta-alueilla. Työn ensimmäisessä osassa esitetään strategiaan ja kyvykkyyksiin liittyviä teorioita. Teoriaosiossa tarkastellaan myös palveluyritykseksi muuntautumisen haasteita, jonka jälkeen esitellään kohdeyrityksen strategiset tavoitteet ja kuinka puuttuvia resursseja voidaan tunnistaa. Resurssipohjaisen lähestymistavan avulla päästiin hyvin käsiksi toimialan muutoksen aiheuttamiin puuttuviin resursseihin. Analyysin aikana tunnistettiin puutteita tavoitteisiin nähden ja tässä työssä nousi yhtenä keskeisimpänä esille ICT-osaaminen kohdeyrityksen siirtyessä laitevalmistajan roolista kohti ratkaisun toimittajaa. Tutkimuksen perusteella voidaan todeta, että resurssipohjaisen lähestymistavan avulla voidaan tunnistaa tämän tyyppisessä yrityksessä resurssipuutteita joita kehittämällä yritys voi saavuttaa pysyvää kilpailuetua.

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The threats caused by global warming motivate different stake holders to deal with and control them. This Master's thesis focuses on analyzing carbon trade permits in optimization framework. The studied model determines optimal emission and uncertainty levels which minimize the total cost. Research questions are formulated and answered by using different optimization tools. The model is developed and calibrated by using available consistent data in the area of carbon emission technology and control. Data and some basic modeling assumptions were extracted from reports and existing literatures. The data collected from the countries in the Kyoto treaty are used to estimate the cost functions. Theory and methods of constrained optimization are briefly presented. A two-level optimization problem (individual and between the parties) is analyzed by using several optimization methods. The combined cost optimization between the parties leads into multivariate model and calls for advanced techniques. Lagrangian, Sequential Quadratic Programming and Differential Evolution (DE) algorithm are referred to. The role of inherent measurement uncertainty in the monitoring of emissions is discussed. We briefly investigate an approach where emission uncertainty would be described in stochastic framework. MATLAB software has been used to provide visualizations including the relationship between decision variables and objective function values. Interpretations in the context of carbon trading were briefly presented. Suggestions for future work are given in stochastic modeling, emission trading and coupled analysis of energy prices and carbon permits.

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Last two decades have seen a rapid change in the global economic and financial situation; the economic conditions in many small and large underdeveloped countries started to improve and they became recognized as emerging markets. This led to growth in the amounts of global investments in these countries, partly spurred by expectations of higher returns, favorable risk-return opportunities, and better diversification alternatives to global investors. This process, however, has not been without problems and it has emphasized the need for more information on these markets. In particular, the liberalization of financial markets around the world, globalization of trade and companies, recent formation of economic and regional blocks, and the rapid development of underdeveloped countries during the last two decades have brought a major challenge to the financial world and researchers alike. This doctoral dissertation studies one of the largest emerging markets, namely Russia. The motivation why the Russian equity market is worth investigating includes, among other factors, its sheer size, rapid and robust economic growth since the turn of the millennium, future prospect for international investors, and a number of important major financial reforms implemented since the early 1990s. Another interesting feature of the Russian economy, which gives motivation to study Russian market, is Russia’s 1998 financial crisis, considered as one of the worst crisis in recent times, affecting both developed and developing economies. Therefore, special attention has been paid to Russia’s 1998 financial crisis throughout this dissertation. This thesis covers the period from the birth of the modern Russian financial markets to the present day, Special attention is given to the international linkage and the 1998 financial crisis. This study first identifies the risks associated with Russian market and then deals with their pricing issues. Finally some insights about portfolio construction within Russian market are presented. The first research paper of this dissertation considers the linkage of the Russian equity market to the world equity market by examining the international transmission of the Russia’s 1998 financial crisis utilizing the GARCH-BEKK model proposed by Engle and Kroner. Empirical results shows evidence of direct linkage between the Russian equity market and the world market both in regards of returns and volatility. However, the weakness of the linkage suggests that the Russian equity market was only partially integrated into the world market, even though the contagion can be clearly seen during the time of the crisis period. The second and the third paper, co-authored with Mika Vaihekoski, investigate whether global, local and currency risks are priced in the Russian stock market from a US investors’ point of view. Furthermore, the dynamics of these sources of risk are studied, i.e., whether the prices of the global and local risk factors are constant or time-varying over time. We utilize the multivariate GARCH-M framework of De Santis and Gérard (1998). Similar to them we find price of global market risk to be time-varying. Currency risk also found to be priced and highly time varying in the Russian market. Moreover, our results suggest that the Russian market is partially segmented and local risk is also priced in the market. The model also implies that the biggest impact on the US market risk premium is coming from the world risk component whereas the Russian risk premium is on average caused mostly by the local and currency components. The purpose of the fourth paper is to look at the relationship between the stock and the bond market of Russia. The objective is to examine whether the correlations between two classes of assets are time varying by using multivariate conditional volatility models. The Constant Conditional Correlation model by Bollerslev (1990), the Dynamic Conditional Correlation model by Engle (2002), and an asymmetric version of the Dynamic Conditional Correlation model by Cappiello et al. (2006) are used in the analysis. The empirical results do not support the assumption of constant conditional correlation and there was clear evidence of time varying correlations between the Russian stocks and bond market and both asset markets exhibit positive asymmetries. The implications of the results in this dissertation are useful for both companies and international investors who are interested in investing in Russia. Our results give useful insights to those involved in minimising or managing financial risk exposures, such as, portfolio managers, international investors, risk analysts and financial researchers. When portfolio managers aim to optimize the risk-return relationship, the results indicate that at least in the case of Russia, one should account for the local market as well as currency risk when calculating the key inputs for the optimization. In addition, the pricing of exchange rate risk implies that exchange rate exposure is partly non-diversifiable and investors are compensated for bearing the risk. Likewise, international transmission of stock market volatility can profoundly influence corporate capital budgeting decisions, investors’ investment decisions, and other business cycle variables. Finally, the weak integration of the Russian market and low correlations between Russian stock and bond market offers good opportunities to the international investors to diversify their portfolios.

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Nanofiltration performance was studied with effluents from the pulp and paper industry and with model substances. The effect of filtration conditions and membrane properties on nanofiltration flux, retention, and fouling was investigated. Generally, the aim was to determine the parameters that influence nanofiltration efficiency and study how to carry out nanofiltration without fouling by controlling these parameters. The retentions of the nanofiltration membranes studied were considerably higher than those of tight ultrafiltration membranes, and the permeate fluxes obtained were approximately the same as those of tight ultrafiltration membranes. Generally, about 80% retentions of total carbon and conductivity were obtained during the nanofiltration experiments. Depending on the membrane and the filtration conditions, the retentions of monovalent ions (chloride) were between 80 and 95% in the nanofiltrations. An increase in pH improved retentions considerably and also the flux to some degree. An increase in pressure improved retention, whereas an increase in temperature decreased retention if the membrane retained the solute by the solution diffusion mechanism. In this study, more open membranes fouled more than tighter membranes due to higher concentration polarization and plugging of the membrane material. More irreversible fouling was measured for hydrophobic membranes. Electrostatic repulsion between the membrane and the components in the solution reduced fouling but did not completely prevent it with the hydrophobic membranes. Nanofiltration could be carried out without fouling, at least with the laboratory scale apparatus used here when the flux was below the critical flux. Model substances had a strong form of the critical flux, but the effluents had only a weak form of the critical flux. With the effluents, some fouling always occurred immediately when the filtration was started. However, if the flux was below the critical flux, further fouling was not observed. The flow velocity and pH were probably the most important parameters, along with the membrane properties, that influenced the critical flux. Precleaning of the membranes had only a small effect on the critical flux and retentions, but it improved the permeability of the membranes significantly.

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The general striving to bring down the number of municipal landfills and to increase the reuse and recycling of waste-derived materials across the EU supports the debates concerning the feasibility and rationality of waste management systems. Substantial decrease in the volume and mass of landfill-disposed waste flows can be achieved by directing suitable waste fractions to energy recovery. Global fossil energy supplies are becoming more and more valuable and expensive energy sources for the mankind, and efforts to save fossil fuels have been made. Waste-derived fuels offer one potential partial solution to two different problems. First, waste that cannot be feasibly re-used or recycled is utilized in the energy conversion process according to EU’s Waste Hierarchy. Second, fossil fuels can be saved for other purposes than energy, mainly as transport fuels. This thesis presents the principles of assessing the most sustainable system solution for an integrated municipal waste management and energy system. The assessment process includes: · formation of a SISMan (Simple Integrated System Management) model of an integrated system including mass, energy and financial flows, and · formation of a MEFLO (Mass, Energy, Financial, Legislational, Other decisionsupport data) decision matrix according to the selected decision criteria, including essential and optional decision criteria. The methods are described and theoretical examples of the utilization of the methods are presented in the thesis. The assessment process involves the selection of different system alternatives (process alternatives for treatment of different waste fractions) and comparison between the alternatives. The first of the two novelty values of the utilization of the presented methods is the perspective selected for the formation of the SISMan model. Normally waste management and energy systems are operated separately according to the targets and principles set for each system. In the thesis the waste management and energy supply systems are considered as one larger integrated system with one primary target of serving the customers, i.e. citizens, as efficiently as possible in the spirit of sustainable development, including the following requirements: · reasonable overall costs, including waste management costs and energy costs; · minimum environmental burdens caused by the integrated waste management and energy system, taking into account the requirement above; and · social acceptance of the selected waste treatment and energy production methods. The integrated waste management and energy system is described by forming a SISMan model including three different flows of the system: energy, mass and financial flows. By defining the three types of flows for an integrated system, the selected factor results needed in the decision-making process of the selection of waste management treatment processes for different waste fractions can be calculated. The model and its results form a transparent description of the integrated system under discussion. The MEFLO decision matrix has been formed from the results of the SISMan model, combined with additional data, including e.g. environmental restrictions and regional aspects. System alternatives which do not meet the requirements set by legislation can be deleted from the comparisons before any closer numerical considerations. The second novelty value of this thesis is the three-level ranking method for combining the factor results of the MEFLO decision matrix. As a result of the MEFLO decision matrix, a transparent ranking of different system alternatives, including selection of treatment processes for different waste fractions, is achieved. SISMan and MEFLO are methods meant to be utilized in municipal decision-making processes concerning waste management and energy supply as simple, transparent and easyto- understand tools. The methods can be utilized in the assessment of existing systems, and particularly in the planning processes of future regional integrated systems. The principles of SISMan and MEFLO can be utilized also in other environments, where synergies of integrating two (or more) systems can be obtained. The SISMan flow model and the MEFLO decision matrix can be formed with or without any applicable commercial or free-of-charge tool/software. SISMan and MEFLO are not bound to any libraries or data-bases including process information, such as different emission data libraries utilized in life cycle assessments.

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This thesis concentrates on studying the operational disturbance behavior of machine tools integrated into FMS. Operational disturbances are short term failures of machine tools which are especially disruptive to unattended or unmanned operation of FMS. The main objective was to examine the effect of operational disturbances on reliability and operation time distribution for machine tools. The theoretical part of the thesis covers the fimdamentals of FMS relating to the subject of this study. The concept of FMS, its benefits and operator's role in FMS operation are reviewed. The importance of reliability is presented. The terms describing the operation time of machine tools are formed by adopting standards and references. The concept of failure and indicators describing reliability and operational performance for machine tools in FMSs are presented. The empirical part of the thesis describes the research methodology which is a combination of automated (ADC) and manual data collection. By using this methodology it is possible to have a complete view of the operation time distribution for studied machine tools. Data collection was carried out in four FMSs consisting of a total of 17 machine tools. Each FMS's basic features and the signals of ADC are described. The indicators describing the reliability and operation time distribution of machine tools were calculated according to collected data. The results showed that operational disturbances have a significant influence on machine tool reliability and operational performance. On average, an operational disturbance occurs every 8,6 hours of operation time and has a down time of 0,53 hours. Operational disturbances cause a 9,4% loss in operation time which is twice the amount of losses caused by technical failures (4,3%). Operational disturbances have a decreasing influence on the utilization rate. A poor operational disturbance behavior decreases the utilization rate. It was found that the features of a part family to be machined and the method technology related to it are defining the operational disturbance behavior of the machine tool. Main causes for operational disturbances were related to material quality variations, tool maintenance, NC program errors, ATC and machine tool control. Operator's role was emphasized. It was found that failure recording activity of the operators correlates with the utilization rate. The more precisely the operators record the failure, the higher is the utilization rate. Also the FMS organizations which record failures more precisely have fewer operational disturbances.