Vuosihuollon aikainen jäähdytteen boorihappopitoisuuden laimeneminen Loviisan ydinvoimalaitoksen riskianalyysissä

This master's thesis examines scenarios, which can lead to a reactivity excursion due to boron dilution events in Loviisa nuclear power plant. This thesis also describes how the boron diluted slugs are modelled in the Probabilistic Risk Assessment (PRA) model. At the current model, the valuation of the reactivity risk due to boron dilution has been very conservative, and therefore the reactivity risk during an outage is as much as 9 % of Core Damage Frequency (CDF) and Large Release Frequency (LRF). The main objective of the thesis is to decrease the annual core damage and Large Release Frequency by reducing conservative assumptions in the probabilistic modelling of boron dilution events. The core behavior during boron dilution events was modelled and reported in 2011 by Fortum using three-dimensional core model of Apros. The results of these analyses were reported same year by Fortum. According to the reported results and the analyses made by StarNode visualization program, it seems that some changes could be made in the boron dilution fault trees of the PRA model. As a result, the reactivity risk was decreased to 0.7 % of the annual CDF. In the other words, the total annual CDF and LRF were decreased 8.5 % due to the changes made in the PRA model. However the analyses made by Apros include some uncertainty. The accuracy of the analyses should be validated before making these changes in the official PRA model.

IT service catalog : a case study of the implementation need in a Pan-Nordic Insurance Company

IT service catalog is an increasingly important issue as many IT organizations have been realizing it as a central communication and visualization tool to bridge the gap between IT and the business. This study reviews relevant literature on IT service catalog and related issues on IT services delivery. Furthermore, the study shows how IT service catalog can enhance IT effectiveness as well as provide more benefits when integrating with Configuration Management Database. In order to analyze whether IT service catalog is needed to be implemented in a Pan-Nordic Insurance Company, this study also investigates the current IT services delivery of a case study. The findings of the study show the problems in the current situation of IT services delivery in the case. The characteristics of IT service catalog are recommended in order to help with the mentioned flaws.

Autourheilusimulaattoreiden fysiikkamallinnuksen erot tuotekehityssimulaattoreihin

Kandidaatintyössä käsitellään ajoneuvosimulaattoreita pelien ja tuotekehityksen maailmasta. Tarkoituksena on selvittää lähinnä kirjallisuuskatsauksena, minkälaisia fysiikkamalleja simulaatiopeleissä käytetään ja miten ne eroavat tuotekehityksessä käytettävistä ajoneuvosimulaatiomalleista. Pelisimulaattorin tärkein tavoite on realistinen tuntuma. Lisäksi etuja ovat pelaajaa koukuttava haaste ja viihde. Tuotekehityssimulaattorissa tärkein tavoite taas on hyödyntämiskelpoinen tulos. Näkyvin ero on visualisoinnissa, mutta mallinnettavat ilmiöt sekä tapa mallintaa niitä eroavat myös monilta osin.

Receptors and endocytosis of coxsackievirus A9

Coxsackievirus A9 (CV-A9) belongs to human enteroviruses within family Picornaviridae, which are the main cause of aseptic meningitis. In addition, CV-A9 causes a wide range of other clinical manifestations of acute disease including respiratory infections, myocarditis, encephalitis and severe generalized infections in newborns. In this study, the functions of integrins αVβ6 and αVβ3 in the attachment and cellular entry of CV-A9 were analyzed. Further, virus and cell surface interactions and endocytosis of CV-A9 were studied in specific cell lines. Also, a method for production of GFP-expressing CV-A9 particles by long PCR-mediated mutagenesis and in vivo transcription was developed. The results indicated that RGD-motif (arginine-glycine-asparagine) that resides in the viral capsid is important for CV-A9 infection particularly in cell lines expressing integrin αVβ6 and that this integrin serves as a high affinity attachment receptor for the virus. CV-A9 is also capable of infecting certain cell lines independently of αV-integrins by binding to the cell surface HSPA5 protein. Regardless of the attachment stage, the internalization of the virus occurs via the same entry pathway and is dependent on β2M, dynamin, and Arf6 but independent of clathrin and caveolin-1. Furthermore, the virus internalization occurs within Arf6-containing vesicles suggesting that Arf6 is central mediator of CV-A9 endocytosis. While in this study the results of CV-A9 endocytosis were based on microscopical visualization within individual fixed cells, a rapid method for generation of a virus for real-time imaging was also described.

Mapping financial stability

The ongoing global financial crisis has demonstrated the importance of a systemwide, or macroprudential, approach to safeguarding financial stability. An essential part of macroprudential oversight concerns the tasks of early identification and assessment of risks and vulnerabilities that eventually may lead to a systemic financial crisis. Thriving tools are crucial as they allow early policy actions to decrease or prevent further build-up of risks or to otherwise enhance the shock absorption capacity of the financial system. In the literature, three types of systemic risk can be identified: i ) build-up of widespread imbalances, ii ) exogenous aggregate shocks, and iii ) contagion. Accordingly, the systemic risks are matched by three categories of analytical methods for decision support: i ) early-warning, ii ) macro stress-testing, and iii ) contagion models. Stimulated by the prolonged global financial crisis, today's toolbox of analytical methods includes a wide range of innovative solutions to the two tasks of risk identification and risk assessment. Yet, the literature lacks a focus on the task of risk communication. This thesis discusses macroprudential oversight from the viewpoint of all three tasks: Within analytical tools for risk identification and risk assessment, the focus concerns a tight integration of means for risk communication. Data and dimension reduction methods, and their combinations, hold promise for representing multivariate data structures in easily understandable formats. The overall task of this thesis is to represent high-dimensional data concerning financial entities on lowdimensional displays. The low-dimensional representations have two subtasks: i ) to function as a display for individual data concerning entities and their time series, and ii ) to use the display as a basis to which additional information can be linked. The final nuance of the task is, however, set by the needs of the domain, data and methods. The following ve questions comprise subsequent steps addressed in the process of this thesis: 1. What are the needs for macroprudential oversight? 2. What form do macroprudential data take? 3. Which data and dimension reduction methods hold most promise for the task? 4. How should the methods be extended and enhanced for the task? 5. How should the methods and their extensions be applied to the task? Based upon the Self-Organizing Map (SOM), this thesis not only creates the Self-Organizing Financial Stability Map (SOFSM), but also lays out a general framework for mapping the state of financial stability. This thesis also introduces three extensions to the standard SOM for enhancing the visualization and extraction of information: i ) fuzzifications, ii ) transition probabilities, and iii ) network analysis. Thus, the SOFSM functions as a display for risk identification, on top of which risk assessments can be illustrated. In addition, this thesis puts forward the Self-Organizing Time Map (SOTM) to provide means for visual dynamic clustering, which in the context of macroprudential oversight concerns the identification of cross-sectional changes in risks and vulnerabilities over time. Rather than automated analysis, the aim of visual means for identifying and assessing risks is to support disciplined and structured judgmental analysis based upon policymakers' experience and domain intelligence, as well as external risk communication.

Integration of JINR Information Resources

Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

ZENODO - an open dependable home for the long-tail of science

Poster at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Geo-enabling repositories - techniques, tools, and challenges

Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Let's do data research work: the creation of a portal with research information from Catalan Universities

Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Lean toimenpiteiden implementointi PK-yrityksessä

Yritykset ympäri maailmaa ovat saavuttaneet Leanin avulla hyviä tuloksia ja parantaneet kilpailukykyään. Lean on kokonaisvaltainen filosofia, jossa käytetään konkreettisia työkaluja kehittämisen tukena. Implementonnin onnistuminen edellyttää koko organisaation sitoutumista muutoksiin ja uusiin toimintamalleihin. Meconet yhtio pyrkii maailman luokan toimittajaksi ja haluaa edistää toiminnan kehittämistä leanin periaatteiden mukaisesti hyödyntämällä kokonaisvaltaisia Lean työkaluja. Meconet Oy:n Vantaan tehtaalla oli keväällä 2013 tavoitteena edistää jatkuvaa kehittymistä Kaizenin avulla. Lisäksi tavoitteena oli ryhtyä järjestelmällisesti seuraamaan suorituskykyä mittareiden avulla ja lisätä visuaalisuutta. Meconet Oy:n Vantaan tehtaalla muodostettiin toimintamalli päivittäiseen suorituskyvyn seurantaan, toteutetttiin useita kehitysprojekteja Kaizen periaatteiden mukaisesti ja lisättiin visuaalisia elementtejä tiedonkulun parantamiseksi.

Mittausdatan havainnollistaminen MATLAB animaationa

The visualization of measurement data is important in the fields of engineering for research analysis and presentation purposes. A suitable visualization method for scientific visualization is needed when handling measurement data. Visualization methods and techniques will be presented throughout this work. They are the bases of scientific visualization from the abstract visualization process to the applied techniques suited for each situation. This work also proposes a visualization tool using the MATLAB® software. The tool was designed as general as possible to encompass the most needs in terms of measurement data visualization. It offers possibilities for both static and dynamic visualization of the data.

Ikkuna virtuaaliympäristöön

Tämän kandidaatintutkielman tavoitteena on rakentaa käyttäjien laitteiden sijaintia monitoroiva järjestelmä luokkahuonetilaan. Sijaintitiedot siirretään visualisointiohjelmistoon, joka näyttää laitteet virtuaaliympäristössä. Työssä käydään läpi jo olemassa olevat toteutukset ja käydään lävitse käytettyjen työkalujen valintaperusteet. Työn toteutus kuvataan suunnittelusta toteutukseen. Työssä tehdään 3 erillistä testiä, joista saaduilla tuloksia käytetään tutkimusongelmien ratkaisussa.

Visual analytics for behavioral and niche market segmentation

Companies require information in order to gain an improved understanding of their customers. Data concerning customers, their interests and behavior are collected through different loyalty programs. The amount of data stored in company data bases has increased exponentially over the years and become difficult to handle. This research area is the subject of much current interest, not only in academia but also in practice, as is shown by several magazines and blogs that are covering topics on how to get to know your customers, Big Data, information visualization, and data warehousing. In this Ph.D. thesis, the Self-Organizing Map and two extensions of it – the Weighted Self-Organizing Map (WSOM) and the Self-Organizing Time Map (SOTM) – are used as data mining methods for extracting information from large amounts of customer data. The thesis focuses on how data mining methods can be used to model and analyze customer data in order to gain an overview of the customer base, as well as, for analyzing niche-markets. The thesis uses real world customer data to create models for customer profiling. Evaluation of the built models is performed by CRM experts from the retailing industry. The experts considered the information gained with help of the models to be valuable and useful for decision making and for making strategic planning for the future.

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.

Geneerisen karttakomponentin kehitys: Tapaustutkimus kohdeyrityksen tuotteissa

Erilaisten paikkatietoon ja karttoihin perustuvien palveluiden määrä on viime vuosina kasvanut suuresti. Eräänä mahdollistajana tähän lienee Euroopan Unionin Inspire-direktiivi, jonka tavoitteena on tehostaa paikkatietoaineistojen käyttöä, laajentaa viranomaisten välistä yhteistyötä, sekä edistää monipuolisten kansalaispalveluiden syntymistä. Toisena tekijänä lienee mobiiliverkkojen tiedonsiirtokapasiteetin kasvu. Tämä diplomityö keskittyy geneerisen karttakomponentin kehitykseen. Työssä tutustutaan erilaisiin paikkatiedon välityksessä käytettäviin tiedonsiirtotekniikoihin ja paikkatiedon visuaalisen esityksen mahdollistaviin työkaluihin. Tekniikoiden esittelyn jälkeen selvitetään mitä käytettävyydellä ja geneerisyydellä tarkoitetaan kirjallisuuslähteitä apuna käyttäen. Työn seuraavassa vaiheessa toteutetaan prototyyppi uudelleenkäytettävästä karttakomponentista, sekä selvitetään hyvä tallennusratkaisu erilaisille kartalle tehtäville merkinnöille. Viimeisessä vaiheessa analysoidaan toteutusta ja valittuja ratkaisuja. Työn tuloksina saadaan uudelleenkäytettävän karttakomponentin prototyyppi sekä yrityksen tuotteisiin sopiva tallennusratkaisu karttamerkinnöille. Lisäksi prototyypin analysoinnista saatavat tulokset edesauttavat paremman tuotantoversion kehittämisessä.