Kestomagnetoidun roottorin mekaniikkasuunnittelu ja -analysointi

Työssä kehitettiin suurnopeuskäyttöön soveltuva kestomagnetoitu roottori olemassa olevan induktiokoneen staattorirunkoon. Kehitystyön tarkoituksena oli selvittää roottorin mekaaniset raja-arvot, kuten maksimi kehänopeus. Samalla otettiin kantaa myös tarvittaviin analysointi- ja mitoitusmenetelmiin. Maksimi kehänopeuden, laakeroinnin ja roottorin skaalattavuuden selvittäminen edellytti myös tarkkaa materiaaliselvitystä ja optimointia. Tästä syystä työn aikana tehtiin tiivistä yhteistyötä materiaalitoimittajien kanssa. Työn tuloksena syntyi uusi menetelmä toteuttaa radiaalisen magneettivuon luova kestomagneettiroottori 200 m/s kehänopeudelle. Suunniteltua roottoriratkaisua käytetään testausroottorina, jolla selvitetään valmistuksen, kokoonpanon ja sähkötehon rajoitteet käytännössä. Suunnittelutyö edellyttikin jatkuvaa iterointia sähkösuunnittelun ja roottorin osien valmistajien kanssa, jotta löydettiin paras kompromissiratkaisu roottorin prototyyppiin. Tämän seurauksena saatiin luotua varsin tarkat suunnittelu- ja analysointiraja-arvot kestomagneettiroottorin tuotteistettavia versioita varten.

Odonto-ungueal dysplasia: an apparently new autosomal dominant ectodermal dysplasia

We describe 27 subjects (11 women) from five generations of a family with an apparently hitherto undescribed ectodermal dysplasia. All of them presented dental and/or nail alterations only. A genetic analysis of the family suggests an autosomal dominant gene. Differential diagnosis considered eight conditions belonging to the same odonto-onychic (2-3) subgroup, as well as Fried's tooth and nail syndrome and hypodontia and nail dysgenesis (both in 1-2-3 subgroup).

Efficient Optimization Algorithms for Nonlinear Data Analysis

Identification of low-dimensional structures and main sources of variation from multivariate data are fundamental tasks in data analysis. Many methods aimed at these tasks involve solution of an optimization problem. Thus, the objective of this thesis is to develop computationally efficient and theoretically justified methods for solving such problems. Most of the thesis is based on a statistical model, where ridges of the density estimated from the data are considered as relevant features. Finding ridges, that are generalized maxima, necessitates development of advanced optimization methods. An efficient and convergent trust region Newton method for projecting a point onto a ridge of the underlying density is developed for this purpose. The method is utilized in a differential equation-based approach for tracing ridges and computing projection coordinates along them. The density estimation is done nonparametrically by using Gaussian kernels. This allows application of ridge-based methods with only mild assumptions on the underlying structure of the data. The statistical model and the ridge finding methods are adapted to two different applications. The first one is extraction of curvilinear structures from noisy data mixed with background clutter. The second one is a novel nonlinear generalization of principal component analysis (PCA) and its extension to time series data. The methods have a wide range of potential applications, where most of the earlier approaches are inadequate. Examples include identification of faults from seismic data and identification of filaments from cosmological data. Applicability of the nonlinear PCA to climate analysis and reconstruction of periodic patterns from noisy time series data are also demonstrated. Other contributions of the thesis include development of an efficient semidefinite optimization method for embedding graphs into the Euclidean space. The method produces structure-preserving embeddings that maximize interpoint distances. It is primarily developed for dimensionality reduction, but has also potential applications in graph theory and various areas of physics, chemistry and engineering. Asymptotic behaviour of ridges and maxima of Gaussian kernel densities is also investigated when the kernel bandwidth approaches infinity. The results are applied to the nonlinear PCA and to finding significant maxima of such densities, which is a typical problem in visual object tracking.

Modeling of fractal antennas

In this Master Thesis the characteristics of the chosen fractal microstrip antennas are investigated. For modeling has been used the structure of the square Serpinsky fractal curves. During the elaboration of this Master thesis the following steps were undertaken: 1) calculation and simulation of square microstrip antennа, 2) optimizing for obtaining the required characteristics on the frequency 2.5 GHz, 3) simulation and calculation of the second and third iteration of the Serpinsky fractal curves, 4) radiation patterns and intensity distribution of these antennas. In this Master’s Thesis the search for the optimal position of the port and fractal elements was conducted. These structures can be used in perspective for creation of antennas working at the same time in different frequency range.

Daily birth numbers in Passo Fundo, South Brazil, 1997-1999: trends and periodicities

Between October 6, 1997 and April 30, 1999, 5011 births (mean: 8.76 per day) were registered in the city of Passo Fundo, South Brazil. The sequence of 572 daily birth numbers was not random (iteration test). Neyman distribution (m = ¥) showed the best fit. Clusters of days with higher birth numbers alternated with days with low numbers of births. Periodogram analysis revealed a significant periodicity of 6.98 days. The cosinor regression, testing 10 a priori supposed period lengths, found significant seasonality peaking in August-September and significantly highest birth numbers on Thursdays. Among the lunar and solar rotation cycles, the tropic lunar cycle and its 4th harmonic were most pronounced, in agreement with results concerning natality in Germany obtained by Svante Arrhenius in the 19th century. These findings confirm Derer-Halberg's concept of multiseptans. In addition to cycling, a significantly increasing linear trend with a daily increase of 0.0045 births was encountered. This documents a growth of the population in agreement with national statistical data.

Modeling a Network of Heat Exchangers

This research work addresses the problem of building a mathematical model for the given system of heat exchangers and to determine the temperatures, pressures and velocities at the intermediate positions. Such model could be used in nding an optimal design for such a superstructure. To limit the size and computing time a reduced network model was used. The method can be generalized to larger network structures. A mathematical model which includes a system of non-linear equations has been built and solved according to the Newton-Raphson algorithm. The results obtained by the proposed mathematical model were compared with the results obtained by the Paterson approximation and Chen's Approximation. Results of this research work in collaboration with a current ongoing research at the department will optimize the valve positions and hence, minimize the pumping cost and maximize the heat transfer of the system of heat exchangers.

Customer involvement in lean startup principles: case of game development studio

The objective of this thesis is to better understand customer’s role in lean startup methodology. The aim is to find out how customers are involved in lean startup methodology implantation and increase the likelihood of new venture survival. This study emphasizes the usage of customers in shaping of new product development processes within companies, through iteration and constant communication. This communication facilitates the development of features that are requested by the customers and enhances the prospects of the new venture. The empirical part of the study is a single qualitative case study that uses action research to implement the lean startup methodology into a pre-revenue venture and examines its customer involvement processes. The studied case company is Karaoke d.o.o., developing a game called kParty. The study used the theory discussed in the literature review: customer involvement (in the survey and interviews conducted for the lean startup methodology), lean principles (through the implementation of lean startup methodology) and lean startup methodology, which are the central building parts of this thesis as a whole. The thesis contributes to the understanding of customer involvement in lean startup methodology, while giving practical implications of customer orientation and product market fitting.

Intellectual Capital Measurement in IT industry

The goal of this research – which is to critically analyze current theories and methods of intangible assets evaluation and potentially develop and test new methodology based on the practical example(s) in the IT industry. Having this goal in mind the main research questions in this paper will be: What are advantages and disadvantages of the current practices of measurement intellectual capital or valuation of intangible assets? How to properly measure intellectual capital in IT? Resulting method exhibits a new unique approach to the IC measurement and potentially even larger field of application. Despite the fact that in this particular research, I focused my attention on IT (Software and Internet services cluster – to be exact), the logic behind the method is applicable within any industry since the method is designed to be fully compliant with measurement theory and thus can be properly scaled for any application. Building a new method is a difficult and iterative process: in the current iteration the method stands out as rather a theoretical concept rather than a business tool, however even current concept totally fulfills its purpose as a benchmarking tool for measuring intellectual capital in IT industry.

De observationibus d'Alemberti in disquisitionem Newtonianae legis refractionis Klingenstjernianam

Invokaatio: D.D.

Designing new learning experiences? : exploring corporate E-learners’ self-regulated learning

The context of this study is corporate e-learning, with an explicit focus on how digital learning design can facilitate self-regulated learning (SRL). The field of e-learning is growing rapidly. An increasing number of corporations use digital technology and elearning for training their work force and customers. E-learning may offer economic benefits, as well as opportunities for interaction and communication that traditional teaching cannot provide. However, the evolving variety of digital learning contexts makes new demands on learners, requiring them to develop strategies to adapt and cope with novel learning tools. This study derives from the need to learn more about learning experiences in digital contexts in order to be able to design these properly for learning. The research question targets how the design of an e-learning course influences participants’ self-regulated learning actions and intentions. SRL involves learners’ ability to exercise agency in their learning. Micro-level SRL processes were targeted by exploring behaviour, cognition, and affect/motivation in relation to the design of the digital context. Two iterations of an e-learning course were tested on two groups of participants (N=17). However, the exploration of SRL extends beyond the educational design research perspective of comparing the effects of the changes to the course designs. The study was conducted in a laboratory with each participant individually. Multiple types of data were collected. However, the results presented in this thesis are based on screen observations (including eye tracking) and video-stimulated recall interviews. These data were integrated in order to achieve a broad perspective on SRL. The most essential change evident in the second course iteration was the addition of feedback during practice and the final test. Without feedback on actions there was an observable difference between those who were instruction-directed and those who were self-directed in manipulating the context and, thus, persisted whenever faced with problems. In the second course iteration, including the feedback, this kind of difference was not found. Feedback provided the tipping point for participants to regulate their learning by identifying their knowledge gaps and to explore the learning context in a targeted manner. Furthermore, the course content was consistently seen from a pragmatic perspective, which influenced the participants’ choice of actions, showing that real life relevance is an important need of corporate learners. This also relates to assessment and the consideration of its purpose in relation to participants’ work situation. The rigidity of the multiple choice questions, focusing on the memorisation of details, influenced the participants to adapt to an approach for surface learning. It also caused frustration in cases where the participants’ epistemic beliefs were incompatible with this kind of assessment style. Triggers of positive and negative emotions could be categorized into four levels: personal factors, instructional design of content, interface design of context, and technical solution. In summary, the key design choices for creating a positive learning experience involve feedback, flexibility, functionality, fun, and freedom. The design of the context impacts regulation of behaviour, cognition, as well as affect and motivation. The learners’ awareness of these areas of regulation in relation to learning in a specific context is their ability for design-based epistemic metareflection. I describe this metareflection as knowing how to manipulate the context behaviourally for maximum learning, being metacognitively aware of one’s learning process, and being aware of how emotions can be regulated to maintain volitional control of the learning situation. Attention needs to be paid to how the design of a digital learning context supports learners’ metareflective development as digital learners. Every digital context has its own affordances and constraints, which influence the possibilities for micro-level SRL processes. Empowering learners in developing their ability for design-based epistemic metareflection is, therefore, essential for building their digital literacy in relation to these affordances and constraints. It was evident that the implementation of e-learning in the workplace is not unproblematic and needs new ways of thinking about learning and how we create learning spaces. Digital contexts bring a new culture of learning that demands attitude change in how we value knowledge, measure it, define who owns it, and who creates it. Based on the results, I argue that digital solutions for corporate learning ought to be built as an integrated system that facilitates socio-cultural connectivism within the corporation. The focus needs to shift from designing static e-learning material to managing networks of social meaning negotiation as part of a holistic corporate learning ecology.

Lauseen aspektin ilmaiseminen suomen kielessä. Tutkimus olla-, tehdä- ja tulla-verbillisistä tekstilauseista käyttökonteksteissaan

Tutkimuksessa tarkastellaan lauseen aspektin ilmaisemista suomen kielessä. Aspektia käsitellään merkityskategoriana, joka osoittaa lauseen kuvaaman asiaintilan ajallisen keston, ja perustavanlaatuisena aspektuaalisena erontekona pidetään rajattuuden ja rajaamattomuuden vastakohtaisuutta. Tutkimuksessa selvitetään, millä perusteella lauseet saavat joko rajatun tai rajaamattoman aspektitulkinnan ja miten konteksti vaikuttaa tähän tulkintaan. Lauseen kontekstina käsitellään kielellistä kontekstia eli tekstiä. Työ on aineistopohjainen tutkimus kirjoitetusta nykysuomesta, ja tarkastelun kohteena on sanomalehtiteksteistä koottu lauseaineisto. Lauseiden pääverbit ovat olla, tehdä ja tulla. Aineistosta on mahdollista esittää sekä kvalitatiivisia että kvantitatiivisia huomioita. Tutkimuksen teoreettisen ja metodologisen taustan muodostavat eräiden kognitiivisen kielitieteen suuntausten kuvauskäsitteet ja -metodit sekä fennistinen aspektin kuvaamisen perinne. Tutkimuksessa tarkastellaan kahta fennistiikassa esitettyä tapaa määritellä lauseen aspektimerkitys ja osoitetaan, että ne ovat toisiaan täydentäviä. Molemmat lähestymistavat huomioon ottamalla on siis mahdollista kuvata lauseen aspektimerkityksen määräytyminen täsmällisemmin kuin vain yhteen kuvaustapaan keskittymällä. Lisäksi osoitetaan, että keskeisinä aspektin ilmaisemisen keinoina pidetyt keston ja toistuvuuden adverbiaalit jäävät aineistossa marginaalisiksi. Ajankohdan adverbiaaleja puolestaan käsitellään aiemmasta tutkimuksesta poiketen rajattuina tarkastelunäkökulmina kuvattuun asiaintilaan, ja ne toimivat tässä tehtävässä liittyessään aspektiltaan rajaamattomiin lauseisiin. Lisäksi tutkimus osoittaa, että aspektin ilmaisemisen kerroksellisuutta voidaan aspektin ilmaisemiseen osallistuvien lauseenjäsenten kerrostumisen ohella tarkastella lausekokonaisuuden eri semanttisten tasojen kerrostumisena. Lausetta laajemman kontekstin vaikutusta aspektitulkintaan ei ole aiemmin tutkittu suomen kielessä. Tutkimus osoittaa, että aspektiltaan monitulkintaisten lauseiden konteksti voi selventää tulkinnan tai mahdollistaa samanaikaisesti vaihtoehtoiset tulkinnat. Lisäksi erilaisten lauseenulkoisten rajan ilmausten avulla on mahdollista osoittaa lauseen aspektin rajattuutta siinä tapauksessa, että lause muutoin ymmärrettäisiin aspektiltaan rajaamattomaksi.

Implementation of Quantitative Reaction-based Model Refinement

Building a computational model for complex biological systems is an iterative process. It starts from an abstraction of the process and then incorporates more details regarding the specific biochemical reactions which results in the change of the model fit. Meanwhile, the model’s numerical properties such as its numerical fit and validation should be preserved. However, refitting the model after each refinement iteration is computationally expensive resource-wise. There is an alternative approach which ensures the model fit preservation without the need to refit the model after each refinement iteration. And this approach is known as quantitative model refinement. The aim of this thesis is to develop and implement a tool called ModelRef which does the quantitative model refinement automatically. It is both implemented as a stand-alone Java application and as one of Anduril framework components. ModelRef performs data refinement of a model and generates the results in two different well known formats (SBML and CPS formats). The development of this tool successfully reduces the time and resource needed and the errors generated as well by traditional reiteration of the whole model to perform the fitting procedure.

Use of intravascular ultrasonography for the characterization of coronary artery disease in patients with chronic kidney disease

INTRODUCTION: Chronic kidney disease patients present a very high cardiovascular mortality. Nevertheless, a comparative description of lesion characteristics, using intravascular ultrasound in dialysis patients, has not yet been reported. The objective of the present study was to analyze the plaque morphology through intravascular ultrasound in comparison to their counterparts with normal renal function. METHODS: Patients were screened for coronary artery disease, and the coronary angiography was performed when indicated. Plaque morphology was evaluated by ultrasound, and findings were compared to a group of patients with coronary artery disease, who presented normal renal function, it carefully matched for all Framingham risk factors and lesion location at the coronary artery tree. RESULTS: One hundred and thirty-nine patients from a single center of hemodialysis were screened for the study. Patients with coronary lesions confirmed at the angiography presented lower hemoglobin (10.8 ± 1.5 versus 12.0 ± 19; p < 0.046) levels and higher levels of low-density lipoprotein (110.6 ± 25.8 versus 75.5 ± 43.1; p < 0.004), when compared to the ones without coronary artery disease. The ultrasound revealed greater proximal reference diameter (4.1 ± 0.6 versus 3.7 ± 0.5; p < 0.007), smaller crossed sectional area (4.2±1.6 versus 5.2 ± 1.8; p < 0.02), and the calcification was located in a deeper arterial layer (69 versus 9%; p < 0.004) in patients with chronic kidney disease when compared to the Control Group. CONCLUSION: Lesions of the patients with chronic kidney disease presented a larger proximal diameter and intense calcification in the deeper layer of the vessel, which suggest a greater positive remodeling effect in response to a more aggressive atherosclerotic process in the medial section of the artery.

Item-level life-cycle model for maintenance network – from cost to additional value

The importance of industrial maintenance has been emphasized during the last decades; it is no longer a mere cost item, but one of the mainstays of business. Market conditions have worsened lately, investments in production assets have decreased, and at the same time competition has changed from taking place between companies to competition between networks. Companies have focused on their core functions and outsourced support services, like maintenance, above all to decrease costs. This new phenomenon has led to increasing formation of business networks. As a result, a growing need for new kinds of tools for managing these networks effectively has arisen. Maintenance costs are usually a notable part of the life-cycle costs of an item, and it is important to be able to plan the future maintenance operations for the strategic period of the company or for the whole life-cycle period of the item. This thesis introduces an itemlevel life-cycle model (LCM) for industrial maintenance networks. The term item is used as a common definition for a part, a component, a piece of equipment etc. The constructed LCM is a working tool for a maintenance network (consisting of customer companies that buy maintenance services and various supplier companies). Each network member is able to input their own cost and profit data related to the maintenance services of one item. As a result, the model calculates the net present values of maintenance costs and profits and presents them from the points of view of all the network members. The thesis indicates that previous LCMs for calculating maintenance costs have often been very case-specific, suitable only for the item in question, and they have also been constructed for the needs of a single company, without the network perspective. The developed LCM is a proper tool for the decision making of maintenance services in the network environment; it enables analysing the past and making scenarios for the future, and offers choices between alternative maintenance operations. The LCM is also suitable for small companies in building active networks to offer outsourcing services for large companies. The research introduces also a five-step constructing process for designing a life-cycle costing model in the network environment. This five-step designing process defines model components and structure throughout the iteration and exploitation of user feedback. The same method can be followed to develop other models. The thesis contributes to the literature of value and value elements of maintenance services. It examines the value of maintenance services from the perspective of different maintenance network members and presents established value element lists for the customer and the service provider. These value element lists enable making value visible in the maintenance operations of a networked business. The LCM added with value thinking promotes the notion of maintenance from a “cost maker” towards a “value creator”.

Lipoxigenases e teor de ácido linolênico relacionados à qualidade de sementes de soja

Os teores de ácidos graxos da fração óleo das sementes de soja não têm sido considerados na avaliação da qualidade das sementes em trabalhos de pesquisa recentes. O objetivo deste trabalho foi determinar o efeito da ausência de lipoxigenases e baixo teor de ácido linolênico na qualidade de sementes de soja colhidas em diferentes épocas após o estádio R8. Quatro "bulks" de sementes de soja foram formados, com as características: (a) presença de lipoxigenases e teor normal de ácido linolênico, (b) presença de lipoxigenases e baixo teor de ácido linolênico, (c) ausência de lipoxigenases e teor normal de ácido linolênico e (d) ausência de lipoxigenases e baixo teor de ácido linolênico. Sementes de cada "bulk" da geração F5 foram colhidas nos estádios R8, R8+10, R8+20 e R8+30 dias. A qualidade fisiológica das sementes foi avaliada através dos testes de germinação, envelhecimento acelerado e índice de velocidade de emergência. Foi determinado também os teores de ácido linolênico das sementes. Sementes dos "bulks" com baixo teor de ácido linolênico apresentaram maior germinação e menor número de plântulas anormais após o estádio R8+20 dias. Sementes dos "bulks" com lipoxigenases apresentaram maior velocidade de emergência. O baixo teor de ácido linolênico presente na fração óleo da semente de soja favorece a produção de sementes de melhor qualidade e a presença de lipoxigenase favorece a maior velocidade de emergência de plântulas.