Towards input/output-free modelling of linear infinite-dimensional systems in continuous time

This dissertation describes a networking approach to infinite-dimensional systems theory, where there is a minimal distinction between inputs and outputs. We introduce and study two closely related classes of systems, namely the state/signal systems and the port-Hamiltonian systems, and describe how they relate to each other. Some basic theory for these two classes of systems and the interconnections of such systems is provided. The main emphasis lies on passive and conservative systems, and the theoretical concepts are illustrated using the example of a lossless transfer line. Much remains to be done in this field and we point to some directions for future studies as well.

User Experience of Geocaching and Its Application to Tourism and Education

Advances in technology have provided new ways of using entertainment and game technology to foster human interaction. Games and playing with games have always been an important part of people’s everyday lives. Traditionally, human-computer interaction (HCI) research was seen as a psychological cognitive science focused on human factors, with engineering sciences as the computer science part of it. Although cognitive science has made significant progress over the past decade, the influence of people’s emotions on design networks is increasingly important, especially when the primary goal is to challenge and entertain users (Norman 2002). Game developers have explored the key issues in game design and identified that the driving force in the success of games is user experience. User-centered design integrates knowledge of users’ activity practices, needs, and preferences into the design process. Geocaching is a location-based treasure hunt game created by a community of players. Players use GPS (Global Position System) technology to find “treasures” and create their own geocaches; the game can be developed when the players invent caches and used more imagination to creations the caches. This doctoral dissertation explores user experience of geocaching and its applications in tourism and education. Globally, based on the Geocaching.com webpage, geocaching has been played about 180 countries and there are more than 10 million registered geocachers worldwide (Geocaching.com, 25.11.2014). This dissertation develops and presents an interaction model called the GameFlow Experience model that can be used to support the design of treasure hunt applications in tourism and education contexts. The GameFlow Model presents and clarifies various experiences; it provides such experiences in a real-life context, offers desirable design targets to be utilized in service design, and offers a perspective to consider when evaluating the success of adventure game concepts. User-centered game designs have adapted to human factor research in mainstream computing science. For many years, the user-centered design approach has been the most important research field in software development. Research has been focusing on user-centered design in software development such as office programs, but the same ideas and theories that will reflect the needs of a user-centered research are now also being applied to game design (Charles et al. 2005.) For several years, we have seen a growing interest in user experience design. Digital games are experience providers, and game developers need tools to better understand the user experience related to products and services they have created. This thesis aims to present what the user experience is in geocaching and treasure hunt games and how it can be used to develop new concepts for the treasure hunt. Engineers, designers, and researchers should have a clear understanding of what user experience is, what its parts are, and most importantly, how we can influence user satisfaction. In addition, we need to understand how users interact with electronic products and people, and how different elements synergize their experiences. This doctoral dissertation represents pioneering work on the user experience of geocaching and treasure hunt games in the context of tourism and education. The research also provides a model for game developers who are planning treasure hunt concepts.

GIS-based approach for optimization of onshore wind park infrastructure alignment in Finland

Wind power is a rapidly developing, low-emission form of energy production. In Fin-land, the official objective is to increase wind power capacity from the current 1 005 MW up to 3 500–4 000 MW by 2025. By the end of April 2015, the total capacity of all wind power project being planned in Finland had surpassed 11 000 MW. As the amount of projects in Finland is record high, an increasing amount of infrastructure is also being planned and constructed. Traditionally, these planning operations are conducted using manual and labor-intensive work methods that are prone to subjectivity. This study introduces a GIS-based methodology for determining optimal paths to sup-port the planning of onshore wind park infrastructure alignment in Nordanå-Lövböle wind park located on the island of Kemiönsaari in Southwest Finland. The presented methodology utilizes a least-cost path (LCP) algorithm for searching of optimal paths within a high resolution real-world terrain dataset derived from airborne lidar scannings. In addition, planning data is used to provide a realistic planning framework for the anal-ysis. In order to produce realistic results, the physiographic and planning datasets are standardized and weighted according to qualitative suitability assessments by utilizing methods and practices offered by multi-criteria evaluation (MCE). The results are pre-sented as scenarios to correspond various different planning objectives. Finally, the methodology is documented by using tools of Business Process Management (BPM). The results show that the presented methodology can be effectively used to search and identify extensive, 20 to 35 kilometers long networks of paths that correspond to certain optimization objectives in the study area. The utilization of high-resolution terrain data produces a more objective and more detailed path alignment plan. This study demon-strates that the presented methodology can be practically applied to support a wind power infrastructure alignment planning process. The six-phase structure of the method-ology allows straightforward incorporation of different optimization objectives. The methodology responds well to combining quantitative and qualitative data. Additional-ly, the careful documentation presents an example of how the methodology can be eval-uated and developed as a business process. This thesis also shows that more emphasis on the research of algorithm-based, more objective methods for the planning of infrastruc-ture alignment is desirable, as technological development has only recently started to realize the potential of these computational methods.

Solving Leontief Input-Output Model with Trapezoidal Fuzzy Numbers and Gauss-Seidel Algorithm

In this work a fuzzy linear system is used to solve Leontief input-output model with fuzzy entries. For solving this model, we assume that the consumption matrix from di erent sectors of the economy and demand are known. These assumptions heavily depend on the information obtained from the industries. Hence uncertainties are involved in this information. The aim of this work is to model these uncertainties and to address them by fuzzy entries such as fuzzy numbers and LR-type fuzzy numbers (triangular and trapezoidal). Fuzzy linear system has been developed using fuzzy data and it is solved using Gauss-Seidel algorithm. Numerical examples show the e ciency of this algorithm. The famous example from Prof. Leontief, where he solved the production levels for U.S. economy in 1958, is also further analyzed.

University students’ regulation of learning and text processing – examples from medical and teacher education

The general aim of the thesis was to study university students’ learning from the perspective of regulation of learning and text processing. The data were collected from the two academic disciplines of medical and teacher education, which share the features of highly scheduled study, a multidisciplinary character, a complex relationship between theory and practice and a professional nature. Contemporary information society poses new challenges for learning, as it is not possible to learn all the information needed in a profession during a study programme. Therefore, it is increasingly important to learn how to think and learn independently, how to recognise gaps in and update one’s knowledge and how to deal with the huge amount of constantly changing information. In other words, it is critical to regulate one’s learning and to process text effectively. The thesis comprises five sub-studies that employed cross-sectional, longitudinal and experimental designs and multiple methods, from surveys to eye tracking. Study I examined the connections between students’ study orientations and the ways they regulate their learning. In total, 410 second-, fourth- and sixth-year medical students from two Finnish medical schools participated in the study by completing a questionnaire measuring both general study orientations and regulation strategies. The students were generally deeply oriented towards their studies. However, they regulated their studying externally. Several interesting and theoretically reasonable connections between the variables were found. For instance, self-regulation was positively correlated with deep orientation and achievement orientation and was negatively correlated with non-commitment. However, external regulation was likewise positively correlated with deep orientation and achievement orientation but also with surface orientation and systematic orientation. It is argued that external regulation might function as an effective coping strategy in the cognitively loaded medical curriculum. Study II focused on medical students’ regulation of learning and their conceptions of the learning environment in an innovative medical course where traditional lectures were combined wth problem-based learning (PBL) group work. First-year medical and dental students (N = 153) completed a questionnaire assessing their regulation strategies of learning and views about the PBL group work. The results indicated that external regulation and self-regulation of the learning content were the most typical regulation strategies among the participants. In line with previous studies, self-regulation wasconnected with study success. Strictly organised PBL sessions were not considered as useful as lectures, although the students’ views of the teacher/tutor and the group were mainly positive. Therefore, developers of teaching methods are challenged to think of new solutions that facilitate reflection of one’s learning and that improve the development of self-regulation. In Study III, a person-centred approach to studying regulation strategies was employed, in contrast to the traditional variable-centred approach used in Study I and Study II. The aim of Study III was to identify different regulation strategy profiles among medical students (N = 162) across time and to examine to what extent these profiles predict study success in preclinical studies. Four regulation strategy profiles were identified, and connections with study success were found. Students with the lowest self-regulation and with an increasing lack of regulation performed worse than the other groups. As the person-centred approach enables us to individualise students with diverse regulation patterns, it could be used in supporting student learning and in facilitating the early diagnosis of learning difficulties. In Study IV, 91 student teachers participated in a pre-test/post-test design where they answered open-ended questions about a complex science concept both before and after reading either a traditional, expository science text or a refutational text that prompted the reader to change his/her beliefs according to scientific beliefs about the phenomenon. The student teachers completed a questionnaire concerning their regulation and processing strategies. The results showed that the students’ understanding improved after text reading intervention and that refutational text promoted understanding better than the traditional text. Additionally, regulation and processing strategies were found to be connected with understanding the science phenomenon. A weak trend showed that weaker learners would benefit more from the refutational text. It seems that learners with effective learning strategies are able to pick out the relevant content regardless of the text type, whereas weaker learners might benefit from refutational parts that contrast the most typical misconceptions with scientific views. The purpose of Study V was to use eye tracking to determine how third-year medical studets (n = 39) and internal medicine residents (n = 13) read and solve patient case texts. The results revealed differences between medical students and residents in processing patient case texts; compared to the students, the residents were more accurate in their diagnoses and processed the texts significantly faster and with a lower number of fixations. Different reading patterns were also found. The observed differences between medical students and residents in processing patient case texts could be used in medical education to model expert reasoning and to teach how a good medical text should be constructed. The main findings of the thesis indicate that even among very selected student populations, such as high-achieving medical students or student teachers, there seems to be a lot of variation in regulation strategies of learning and text processing. As these learning strategies are related to successful studying, students enter educational programmes with rather different chances of managing and achieving success. Further, the ways of engaging in learning seldom centre on a single strategy or approach; rather, students seem to combine several strategies to a certain degree. Sometimes, it can be a matter of perspective of which way of learning can be considered best; therefore, the reality of studying in higher education is often more complicated than the simplistic view of self-regulation as a good quality and external regulation as a harmful quality. The beginning of university studies may be stressful for many, as the gap between high school and university studies is huge and those strategies that were adequate during high school might not work as well in higher education. Therefore, it is important to map students’ learning strategies and to encourage them to engage in using high-quality learning strategies from the beginning. Instead of separate courses on learning skills, the integration of these skills into course contents should be considered. Furthermore, learning complex scientific phenomena could be facilitated by paying attention to high-quality learning materials and texts and other support from the learning environment also in the university. Eye tracking seems to have great potential in evaluating performance and growing diagnostic expertise in text processing, although more research using texts as stimulus is needed. Both medical and teacher education programmes and the professions themselves are challenging in terms of their multidisciplinary nature and increasing amounts of information and therefore require good lifelong learning skills during the study period and later in work life.

Infective Endocarditis in a Finnish Teaching Hospital. 25 Years of Experience of Adult Patients

Infektiivinen endokardiitti yliopistollisessa keskussairaalassa vuosina 1980-2004 hoidetuilla aikuispotilailla Tausta: Infektiivinen endokardiitti on edelleen vakava sairaus. Huolimatta siitä, että taudin diagnostiikka ja hoito ovat kehittyneet, siihen liittyy edelleen merkittävää sairastuvuutta ja kuolleisuutta. Endokardiitin taudinkuvassa on viime vuosina tapahtunut muutoksia monissa maissa. Tavoitteet: Tutkia endokardiitin kliinista kuvaa ja ennustetta suomalaisessa yliopistosairaalassa vuosina 1980-2004 endokardiitin vuoksi hoidetuilla aikuispotilailla. Aineisto: Osatyössä I endokardiitin todennäköisyyttä analysoitiin 222:lla vuosina 1980-1995 endokardiittiepäilyn vuoksi hoidetulla potilaalla käyttäen apuna sekä Duken että von Reyn diagnostisia kriteereitä. Osatyössä II tutkittiin endokardiittiin liittyviä neurologisia komplikaatioita 218 varmassa tai mahdollisessa endokardiittiepisodissa. Osatyössä III tutkittiin seerumin C-reaktiivisen proteiinin (CRP) käyttökelpoisuutta hoitovasteen arvioinnissa 134:ssä varmaksi luokitellussa endokardiittiepisodissa. Osatyössä IV tutkittiin yleisbakteeri-PCRmenetelmän käyttökelpoisuutta etiologisessa diagnostiikassa 56:lla endokardiittiepäilyn vuoksi leikatulla potilaalla. Osatöissä V ja VI analysoitiin kaikki vuosina 1980-2004 hoidetut 303 endokardiittipotilasta lyhytaikais- ja 1-vuotisennusteen suhteen sekä tutkittiin endokardiitin taudinkuvassa tapahtuneita muutoksia sairaalassamme. Tulokset: Duken kriteerit osoittautuivat von Reyn kriteereitä herkemmiksi endokardiitin diagnostiikassa: 243 tutkitusta episodista 114 luokiteltiin varmoiksi endokardiiteiksi Duken kriteereillä, kun vastaavasti ainoastaan 64 luoteltiin varmoiksi von Reyn kriteereillä (p<0.001). Lisäksi peräti 115 episodissa endokardiitin diagnoosi hylättiin von Reyn kriteereillä, kun diagnoosi hylättiin Duken kriteereillä ainoastaan 37 episodissa (p<0.001). Neurologinen komplikaatio ilmeni ennen mikrobilääkehoidon aloittamista 76 %:ssa episodeja ollen ensimmäinen oire 47 %:ssa. Kuolema oli merkitsevästi yhteydessä neurologisiin komplikaatioihin. Hoitovastetta seurattaessa seerumin CRP:n lasku oli merkitsevästi nopeampaa komplikaatioitta toipuvilla potilailla kuin niillä, joille kehittyi komplikaatioita tai jotka menehtyivät tautiinsa. PCR-tutkimus poistetusta läpästä antoi ainoana menetelmänä etiologisen diagnoosin neljässä tapauksessa (2 stafylokokkilajia, 1 Streptococcus bovis,1 Bartonella quintana), joissa kaikissa mikrobilääkehoito oli ollut käytössä ennen näytteiden ottamista. Koko aineistossa kahden läpän infektio tai neurologisten komplikaatioiden, perifeeristen embolioiden tai sydämen vajaatoiminnan kehittyminen ennustivat sekä sairaalakuolleisuutta että 1-vuotiskuolleisuutta, kun taas ≥65 vuoden ikä ja sydämen ultraäänitutkimuksessa todettu vegetaatio tai Duken luokittelun mukainen pääkriteeri ennustivat kuolemaa vuoden sisällä. Korkea CRP-taso sairaalaan tullessa ennusti sekä sairaalakuolleisuutta että 1-vuotiskuolleisuutta. Huumeiden käyttäjien endokardiitit lisääntyivät tutkimusaikana merkitsevästi (p<0.001). Päätelmät: Tässä työssä vahvistetaan Duken kriteerien käyttökelpoisuus endokardiitin diagnostiikassa. Lisäksi vahvistui käsitys, että nopea diagnoosi ja mikrobilääkehoidon aloittaminen ovat parhaat keinot ehkäistä neurologisia komplikaatioita ja parantaa endokardiittipotilaiden ennustetta. CRP:n normalisoituminen on endokardiittipotilailla hyvän ennusteen merkki. Suoraan läppäkudoksesta tehty PCR-tutkimus on hyödyllinen, kun taudin aiheuttaja on kasvuominaisuuksiltaan vaativa tai potilas on saanut mikrobilääkehoitoa ennen viljelynäytteiden ottamista. Muutamat aiemmissa tutkimuksissa todetut huonon ennusteen merkit ennustavat huonoa ennustetta myös tämän tutkimuksen potilailla. Uutena löydöksenä ilmeni, että korkea CRP-arvo sairaalaan tullessa merkitsee sekä huonoa lyhyt- että pitkäaikaisennustetta. Huumeiden käyttäjien endokardiittien ilmaantuminen on tärkein epidemiologinen muutos 25 vuoden tutkimusaikana.

Critical Success Factors in the Implementation of the Balanced Scorecard

Tutkielman tavoitteena on tunnistaa kriittiset menestystekijät balanced scorecardin käyttöönotossa. Tutkimus on luonteeltaan selittävä tapaustutkimus. Tutkimuksen haastatteluaineisto on kerätty suomalaisyrityksistä, jotka ovat ottaneet onnistuneesti balanced scorecardin käyttöön organisaatiossa. Yksi tapauksista osoittautui kuitenkin epäonnistuneeksi. Balanced scorecardin onnistuneeseen käyttöönottoon vaikuttaa usea eri tekijä. Tutkielmassa käyttöönottoon vaikuttavat menestystekijät on jaettu neljään eri ryhmään, jotka ovat tekijät liittyen organisaatioon, resursseihin, käyttöönottoprosessiin ja itse balanced scorecardiin. Viitekehys havainnollistaa kriittisten menestystekijöiden keskinäisiä suhteita. Johdon sitoutuminen, ajankäyttö sekä avoin kommunikaatio ovat eräitä keskeisiä menestystekijöitä balanced scorecardin käyttöönottoprosessissa. Lisäksi balanced scorecardin onnistuneeseen käyttöönottoon on kaksi perusedellytystä: organisaation strategian selkeys sekä ympäristön tuki prosessille.

Effect of heat input on the mechanical properties of welded joints in high strength steels

Experiments were carried out to determine the properties of the welded joints in 8mm thick high-strength steels produced by quenching and tempering and thermomechanical rolling with accelerated cooling (tensile strength 821–835 MPa). The dependence of the strength, elongation, hardness, impact energy and crack opening displacement on the heat input in the range 1.0–0.7 kJ mm21 was determined. The results show that the dependence of the strength of the welded joints decreases and that of the elongation increases. The heat input has only a slight effect on the impact energy and crack opening displacement in the heat-affected zone.