Vegetation and CO2 balance in an abandoned harvested peatland in Aitoneva, southern Finland

Tiivistelmä: Kasvillisuus ja CO2-tase käytöstä vapautuneella turvetuotantoalueella Kihniön Aitonevalla

Modelling growth and nitrogen balance of barley under ambient and future conditions

Selostus: Ohran kasvun ja typpidynamiikan mallintaminen nykyisissä ja tulevaisuuden olosuhteissa

Effect of anionic salts in concentrate mixture on some blood and urine minerals, acid-base balance and feed intake of dry pregnant cows on grass silage based feeding with high calcium intake

Selostus: Kationi-anionitasapaino ummessaolevien lypsylehmien säilörehuruokinnassa kalsiumin saannin ollessa runsas

Effect of anionic salts in concentrate mixture and calcium intake on some blood and urine minerals, acid-base balance and feed intake of dry pregnant cows on grass silage based feeding

Selostus: Kationi-anionitasapaino ja kalsiumin saanti ummessaolevien lypsylehmien säilörehuruokinnassa

Effect of anionic salts in concentrate mixture and magnesium intake on some blood and urine minerals and acid-base balance of dry pregnant cows on grass silage based feeding

Selostus: Kationi-anionitasapaino ja magnesiumin saanti ummessaolevien lypsylehmien säilörehuruokinnassa

Effect of anionic salts on some blood and urine minerals, acid-base balance and udder oedema of dry pregnant cows

Selostus: Anionisten suolojen vaikutus ummessa olevien lehmien veren ja virtsan kivennäisiin, happo-emästasapainoon sekä utarepöhöön

On the differential evolution algorithm and its appliation to training radial basis function networks

The parameter setting of a differential evolution algorithm must meet several requirements: efficiency, effectiveness, and reliability. Problems vary. The solution of a particular problem can be represented in different ways. An algorithm most efficient in dealing with a particular representation may be less efficient in dealing with other representations. The development of differential evolution-based methods contributes substantially to research on evolutionary computing and global optimization in general. The objective of this study is to investigatethe differential evolution algorithm, the intelligent adjustment of its controlparameters, and its application. In the thesis, the differential evolution algorithm is first examined using different parameter settings and test functions. Fuzzy control is then employed to make control parameters adaptive based on an optimization process and expert knowledge. The developed algorithms are applied to training radial basis function networks for function approximation with possible variables including centers, widths, and weights of basis functions and both having control parameters kept fixed and adjusted by fuzzy controller. After the influence of control variables on the performance of the differential evolution algorithm was explored, an adaptive version of the differential evolution algorithm was developed and the differential evolution-based radial basis function network training approaches were proposed. Experimental results showed that the performance of the differential evolution algorithm is sensitive to parameter setting, and the best setting was found to be problem dependent. The fuzzy adaptive differential evolution algorithm releases the user load of parameter setting and performs better than those using all fixedparameters. Differential evolution-based approaches are effective for training Gaussian radial basis function networks.

Analysis of torque and speed ripple producing non-idealities of frequency converters in electric drives

Electric motors driven by adjustable-frequency converters may produce periodic excitation forces that can cause torque and speed ripple. Interaction with the driven mechanical system may cause undesirable vibrations that affect the system performance and lifetime. Direct drives in sensitive applications, such as elevators or paper machines, emphasize the importance of smooth torque production. This thesis analyses the non-idealities of frequencyconverters that produce speed and torque ripple in electric drives. The origin of low order harmonics in speed and torque is examined. It is shown how different current measurement error types affect the torque. As the application environment, direct torque control (DTC) method is applied to permanent magnet synchronous machines (PMSM). A simulation model to analyse the effect of the frequency converter non-idealities on the performance of the electric drives is created. Themodel enables to identify potential problems causing torque vibrations and possibly damaging oscillations in electrically driven machine systems. The model is capable of coupling with separate simulation software of complex mechanical loads. Furthermore, the simulation model of the frequency converter's control algorithm can be applied to control a real frequency converter. A commercial frequencyconverter with standard software, a permanent magnet axial flux synchronous motor and a DC motor as the load are used to detect the effect of current measurement errors on load torque. A method to reduce the speed and torque ripple by compensating the current measurement errors is introduced. The method is based on analysing the amplitude of a selected harmonic component of speed as a function oftime and selecting a suitable compensation alternative for the current error. The speed can be either measured or estimated, so the compensation method is applicable also for speed sensorless drives. The proposed compensation method is tested with a laboratory drive, which consists of commercial frequency converter hardware with self-made software and a prototype PMSM. The speed and torque rippleof the test drive are reduced by applying the compensation method. In addition to the direct torque controlled PMSM drives, the compensation method can also beapplied to other motor types and control methods.

Dynamics of Appropriability - Finding a Balance between Efficiency and Strength in the Appropriability Regime

Building and sustaining competitive advantage through the creation of market imperfections is challenging in a constantly changing business environment - particularly since the sources of such advantages are increasingly knowledge-based. Facilitated by improved networks and communication, knowledge spills over to competitors more easily than before,thus creating an appropriability problem: the inability of an innovating firm to utilize its innovations commercially. Consequently, as the importance of intellectual assets increases, their protection also calls for new approaches. Companies have various means of protection at their disposal, and by taking advantage of them they can make intangibles more non-transferable and prevent, or at leastdelay, imitation of their most crucial intellectual assets. However, creating barriers against imitation has another side to it, and the transfer of knowledge in situations requiring knowledge sharing may be unintentionally obstructed. Theaim of this thesis is to increase understanding of how firms can balance knowledge protection and sharing so as to benefit most from their knowledge assets. Thus, knowledge protection is approached through an examination of the appropriability regime of a firm, i.e., the combination of available and effective means ofprotecting innovations, their profitability, and the increased rents due to R&D. A further aim is to provide a broader understanding of the formation and structure of the appropriability regime. The study consists of two parts. The first part introduces the research topic and the overall results of the study, and the second part consists of six complementary research publications covering various appropriability issues. The thesis contributes to the existing literature in several ways. Although there is a wide range of prior research on appropriability issues, a lot of it is restricted either to the study of individual appropriability mechanisms, or to comparing certain features of them. These approaches are combined, and the relevant theoretical concepts are clarified and developed. In addition, the thesis provides empirical evidence of the formation of the appropriability regime, which is consequently presented as an adaptive process. Thus, a framework is provided that better corresponds to the complex reality of the current business environment.

Rintamamiestalon saneerauksen energiataloudellinen tarkastelu

Työssä määritettiin Kaakkois-Suomessa sijaitsevan rintamamiestalon eri energiasaneerausvaihtoehtojen kannattavuus. Taselaskenta pohjautui pääosin Suomen rakentamismääräyskokoelman osaan D5. Tarkastelu laajennettiin koskemaan myös yleisesti rintamamiestaloja. Tällöin referenssitalona toimi kyseinen kohdetalo konstruktiossa, jossa talon vaipan eristeet olivat alkuperäiset ja lämmitysjärjestelmä uusimisen tarpeessa. Työssä kehitettiin toimiva laskenta-algoritmi, jolla pystytään määrittämään tyypillisten rintamamiestalojen energiasaneerausten kannattavuus eri lämmitysjärjestelmillä ja eri ilmastovyöhykkeillä. Samalla saadaan määritellyksi yksittäisten rakenneosien saneerauksen vaikutukset talon energiantarpeeseen. Käytännössä kaikkiin 1950-luvulla rakennettuihin rintamamiestaloihin on vuosien kuluessa tehty asumisviihtyvyyttä lisääviä parannuksia, mutta energiaa säästävät investoinnit ovat jääneet vähemmälle. Energiantarve on niissä tyypillisesti 400 kWh asuinneliötä kohti vuodessa, kun vastaava talo nyt rakennettuna kuluttaisi 55% - 60% vähemmän energiaa.

Carbon balance of Fibre-Based Package

Customers are more and more interested in the environmental impacts of the products they purchase. Different labels give the required environmental information to consumers and the labels might affect to the consuming decisions. The European Union has set a plan for sustainable consuming, which encourages industry and commerce to calculate carbon footprints for the products. A term “carbon footprint” means carbon dioxide emissions across the product lifecycle. In this thesis, carbon footprints are calculated for two different fibre-based packages. In the end, greenhouse gas emissions from fibre-package production are compared to greenhouse gas emissions from PET bottle production. The data for mill processes is exact and monitored in the mill. In addition, data was gathered from raw material and material suppliers, customers, official records, KCL-eco databases and literature. The data for PET bottle is sourced from literature. End-of-life operations affect greatly on the carbon footprint of a fibre-based package. The results show that the carbon footprint is smallest when used packages are recycled. Recycling saves also natural resources. If used packages are not recyclable for some reason, it is recommended to use them in energy production. Through waste incineration fossil fuels could be substituted and greenhouse gas emissions avoided.

Development of phase retrieval algorithm and techniques for optical spectrum analysis

Coherent anti-Stokes Raman scattering is the powerful method of laser spectroscopy in which significant successes are achieved. However, the non-linear nature of CARS complicates the analysis of the received spectra. The objective of this Thesis is to develop a new phase retrieval algorithm for CARS. It utilizes the maximum entropy method and the new wavelet approach for spectroscopic background correction of a phase function. The method was developed to be easily automated and used on a large number of spectra of different substances.. The algorithm was successfully tested on experimental data.

Acid-base Balance and Oxidative Metabolism in Calcified Tissues

The calcified tissues, comprising bone and cartilage, are metabolically active tissues that bind and release calcium, bicarbonate and other substances according to systemic needs. Understanding the regulation of cellular metabolism in bone and cartilage is an important issue, since a link between the metabolism and diseases of these tissues is clear. An essential element in the function of bone-resorbing osteoclasts, namely regulation of bicarbonate transport, has not yet been thoroughly studied. Another example of an important but at the same time fairly unexplored subject of interest in this field is cartilage degeneration, an important determinant for development of osteoarthritis. The link between this and oxidative metabolism has rarely been studied. In this study, we have investigated the significance of bicarbonate transport in osteoclasts. We found that osteoclasts possess several potential proteins for bicarbonate transport, including carbonic anhydrase IV and XIV, and an electroneutral bicarbonate co-transporter NBCn1. We have also shown that inhibiting the function of these proteins has a significant impact on bone resorption and osteoclast morphology. Furthermore, we have explored oxidative metabolism in chondrocytes and found that carbonic anhydrase III (CA III), a protein linked to the prevention of protein oxidation in muscle cells, is also present in mouse chondrocytes, where its expression correlates with the presence of reactive oxygen species. Thus, our study provides novel information on the regulation of cellular metabolism in calcified tissues.

Stress testing and risk evaluation of new capacity payment algorithm proposed by Market Council

In the Russian Wholesale Market, electricity and capacity are traded separately. Capacity is a special good, the sale of which obliges suppliers to keep their generating equipment ready to produce the quantity of electricity indicated by the System Operator. The purpose of the formation of capacity trading was the maintenance of reliable and uninterrupted delivery of electricity in the wholesale market. The price of capacity reflects constant investments in construction, modernization and maintenance of power plants. So, the capacity sale creates favorable conditions to attract investments in the energy sector because it guarantees the investor that his investments will be returned.