St. Petersburg Court Chant and the Tradition of Eastern Slavic Church Singing

The present study examines the repertory of liturgical chant known as St. Petersburg Court Chant which emerged within the Imperial Court of St. Petersburg, Russia, and appeared in print in a number of revisions during the course of the 19th century, eventually to spread throughout the Russian Empire and even abroad. The study seeks answers to questions on the essence and composition of Court Chant, its history and liturgical background, and most importantly, its musical relationship to other repertories of Eastern Slavic chant. The research questions emerge from previous literary accounts of Court Chant (summarized in the Introduction), which have tended to be inaccurate and generally not based on critical research. The study is divided into eight main chapters. Chapter 1 provides a survey of the history of Eastern Slavic chant and the Imperial Court Chapel of St. Petersburg until 1917, with special emphasis on the history of singing traditional chant in polyphony, the status of the Court Chapel as a government authority, and its endeavours in publishing church music. Chapter 2 deals with the liturgical background of Eastern chant, the chant genres, and main repertories of Eastern Slavic chant. Chapter 3 concentrates on chant sources: it introduces the musical notations utilised, after which a typology of chant books is presented. The discussion continues with a survey of the sources of Court Chant and their content, the specimens selected for closer analysis, the comparative materials from other repertories, and ends with a commentary on some chant sources that have been excluded. The comparative sources include a specimen from around the beginning of the 12th century, a few manuscripts from the 17th century, and printed and manuscript chant books from the early 18th to early 20th century, covering the geographical area that delimits to the western Ukraine, Astrakhan, Nizhny Novgorod, and the Solovetsky Monastery. Chapter 4 presents the approach and methods used in the subsequent analytical comparisons. After a survey of the pitch organization of Eastern Slavic chant, the customary harmonization strategy of traditional chant polyphony is examined, according to which a method for meaningful analysis of the harmony is proposed. The method is based on the observation that the harmonic framework of chant polyphony derives from the standard pitch collection of monodic chant known as the Church Gamut, specific pitches of which form eight harmonic regions that behave like the usual tonalities of major and harmonic minor. Because of the considerable quantity of comparative chant forms, computer-assisted statistical methods are applied to the analysis of chant melodies. The primary chant forms and their respective comparative forms have been pre-processed into reduced chant prototypes and divided into redactions. The analyses are carried out by measuring the formal dissimilarities of the primary chant forms of the Court Chant repertory against each comparative form, and also by measuring the reciprocal dissimilarities of all chant versions in a redaction, the results of which are subjected to agglomerative hierarchical clustering in order to find out how the chant forms relate to each other. The dissimilarities are determined by applying a metric dissimilarity function that is based on the Levenshtein Distance. Chapter 5 provides the melodic and harmonic analyses of generic chants (chants used for multiple texts of different lengths), i.e., chants for stichera samoglasny and troparia, Chapter 6 of pseudo-generic chants (chants that are used for multiple texts but with certain restrictions), i.e., chants for heirmoi, prokeimena, and three other hymns, and Chapter 7 of non-generic chants, covering nine chants that in the Court repertory are not shared by multiple texts. The results are summarized and evaluated in Chapter 8. Accordingly, it can be established that, contrary to previous conceptions, melodically, Court Chant is in effect a full part of the wider Eastern Slavic chant tradition. Even if it is somewhat detached from the chant versions of the Synodal square-note chant books and the local tradition of Moscow, it is particularly close to chant forms of East Ukraine and some vernacular repertories from Russia. Respectively, the harmonization strategies of Court Chant do not show significant individuality in comparison with those of the available polyphonic comparative sources, the main difference being the part-writing, which generally conforms to western common practice standard, whereas the deviations from this tend to be more significant in other analysed repertories of polyphonic chant. Thus, insofar as the subsequent prevalence of Court Chant is not based on its forceful dissemination by authorities (as suggested in previous literature but for which little tangible evidence could be found in Chapter 1), in the present author’s interpretation, Court Chant attained its dominance principally because musically it was considered sufficiently traditional, and as a chant body supported by the government, was conveniently available in print in serviceable harmonizations.

Elever syns på nätet : multimodala texter och autentiska mottagare

This study is based on the notion that all students are likely to have a computer of some kind as their primary tool at school within a few years. The overall aim is to contribute to the knowledge of what this development of computer-assisted multimodal text production and communication on and over the net may entail in a school context. The study has an abductive approach drawing on theory from Media and Communication studies and from Pedagogy - particularly on media peda-gogy, multimodality, storytelling, conversation research and deliberative democracy – and is based on a DBR project in three schools. The empirical data are retrieved from four school classes, school years 4 and 5, with good access to computers and digital cameras. The classes have used the class blogs to tell the blog visitors about their school work and Skype to communicate with other classes in Sweden and Tanzania. A variety of research methods was employed: content analysis of texts, observations with field notes and camera documentation, interviews with individual students, group interviews with teachers and students, and a small survey. The study is essentially qualitative, focusing on students’ different perceptions. A small quantitative study was conducted to determine if any factors and variables could be linked to each other and to enable comparisons of the surveyed group with other research results. The results suggest that more computers at school offer more opportunities for real-life assignments and the chance to secure an authentic audience to the students’ production; primarily the students’ parents and relatives, students in the same class and at other schools. A theoretical analysis model to determine the degree of reality and authenticity in various school assignments was developed. The results also indicate that having access to cameras for documenting various events in the classes and to an authentic audience can create new opportunities for storytelling that have not been practiced previously at school. The documentary photo invites a viewer into the present tense of the image and the location where the picture was taken, whoever took the picture. It is used by the students and here too, a model has been developed to describe this relationship. The study also focuses on the freedom of expression and democracy. One of the more unexpected findings is that the students in the study did not see that they can influence other people’s perceptions or change various power structures through communication on the web, neither in nor outside of school.

Automatic image-based identification of Saimaa ringed seals

The Saimaa ringed seal is one of the most endangered seals in the world. It is a symbol of Lake Saimaa and a lot of effort have been applied to save it. Traditional methods of seal monitoring include capturing the animals and installing sensors on their bodies. These invasive methods for identifying can be painful and affect the behavior of the animals. Automatic identification of seals using computer vision provides a more humane method for the monitoring. This Master's thesis focuses on automatic image-based identification of the Saimaa ringed seals. This consists of detection and segmentation of a seal in an image, analysis of its ring patterns, and identification of the detected seal based on the features of the ring patterns. The proposed algorithm is evaluated with a dataset of 131 individual seals. Based on the experiments with 363 images, 81\% of the images were successfully segmented automatically. Furthermore, a new approach for interactive identification of Saimaa ringed seals is proposed. The results of this research are a starting point for future research in the topic of seal photo-identification.

Kvalitatiivisen aineiston tietokoneavusteisen analyysin lähtökohtia

Abstract: Towards computer-assisted qualitative data analysis

Spektrikuvien tiivistäminen itseorganisoituvan kartan avulla.

Vuosi vuodelta kasvava tietokoneiden prosessointikyky on mahdollistanut harmaataso- ja RGB-värikuvia tarkempien spektrikuvien käsittelyn järjellisessä ajassa ilman suuria kustannuksia. Ongelmana on kuitenkin, ettei talletus- ja tiedonsiirtomedia ole kehittynyt prosessointikyvyn vauhdissa. Ratkaisu tähän ongelmaan on spektrikuvien tiivistäminen talletuksen ja tiedonsiirron ajaksi. Tässä työssä esitellään menetelmä, jossa spektrikuva tiivistetään kahdessa vaiheessa: ensin ryhmittelemällä itseorganisoituvan kartan (SOM) avulla ja toisessa vaiheessa jatketaan tiivistämistä perinteisin menetelmin. Saadut tiivistyssuhteet ovat merkittäviä vääristymän pysyessä siedettävänä. Työ on tehty Lappeenrannan teknillisen korkeakoulun Tietotekniikan osaston Tietojenkäsittelytekniikan tutkimuslaboratoriossa osana laajempaa kuvantiivistyksen tutkimushanketta.

Atk-avusteinen tilintarkastus

Tutkimuksen päätavoitteena oli atk-avusteisen tilintarkastuksen käytön tutkiminen. Tutkimus jakaantuu teoreettiseen ja empiiriseen osaan. Teoriaosuudessa käydään läpi tilintarkastusprosessia ja esitellään tietokoneavusteisen tilintarkastuksen työvälineitä sekä arvioidaan kirjallisuuden ja muun lähdeaineiston perusteella atk:n tuottamia hyötyjä ja aiheuttamia riskejä. Empiriaosuudessa tutkittiin tilintarkastajille suunnatun kyselytutkimuksen avulla miten laajaa atk:n hyväksikäyttö on tilintarkastusmaailmassa ja miten tilintarkastajat itse näkevät sen tuomat hyödyt ja haitat sekä atk-avusteisen tilintarkastuksen kehittymisen lähitulevaisuudessa. Tutkimustuloksia verrataan aikaisemmin samasta aihepiiristä tehtyjen tutkimusten tuloksiin. Tutkimustuloksia verrattaessa käy ilmi, että tietokoneen käyttö ja hyödyntäminen tilintarkastustyössä on selvästi lisääntynyt. On huomattava, että atk:n mukaantulo tilintarkastustoimintaan tuo mukanaan ongelmia, jotka tulee tiedostaa, mutta atk:n tuottamien lisäetujen määrä on niin huomattava, että tulevaisuudessa tehokas tilintarkastustyö ei onnistu ilman atk-avusteisia menetelmiä.

New kernel functions and learning methods for text and data mining

Recent advances in machine learning methods enable increasingly the automatic construction of various types of computer assisted methods that have been difficult or laborious to program by human experts. The tasks for which this kind of tools are needed arise in many areas, here especially in the fields of bioinformatics and natural language processing. The machine learning methods may not work satisfactorily if they are not appropriately tailored to the task in question. However, their learning performance can often be improved by taking advantage of deeper insight of the application domain or the learning problem at hand. This thesis considers developing kernel-based learning algorithms incorporating this kind of prior knowledge of the task in question in an advantageous way. Moreover, computationally efficient algorithms for training the learning machines for specific tasks are presented. In the context of kernel-based learning methods, the incorporation of prior knowledge is often done by designing appropriate kernel functions. Another well-known way is to develop cost functions that fit to the task under consideration. For disambiguation tasks in natural language, we develop kernel functions that take account of the positional information and the mutual similarities of words. It is shown that the use of this information significantly improves the disambiguation performance of the learning machine. Further, we design a new cost function that is better suitable for the task of information retrieval and for more general ranking problems than the cost functions designed for regression and classification. We also consider other applications of the kernel-based learning algorithms such as text categorization, and pattern recognition in differential display. We develop computationally efficient algorithms for training the considered learning machines with the proposed kernel functions. We also design a fast cross-validation algorithm for regularized least-squares type of learning algorithm. Further, an efficient version of the regularized least-squares algorithm that can be used together with the new cost function for preference learning and ranking tasks is proposed. In summary, we demonstrate that the incorporation of prior knowledge is possible and beneficial, and novel advanced kernels and cost functions can be used in algorithms efficiently.

Unsupervised visual object categorization

The number of digital images has been increasing exponentially in the last few years. People have problems managing their image collections and finding a specific image. An automatic image categorization system could help them to manage images and find specific images. In this thesis, an unsupervised visual object categorization system was implemented to categorize a set of unknown images. The system is unsupervised, and hence, it does not need known images to train the system which needs to be manually obtained. Therefore, the number of possible categories and images can be huge. The system implemented in the thesis extracts local features from the images. These local features are used to build a codebook. The local features and the codebook are then used to generate a feature vector for an image. Images are categorized based on the feature vectors. The system is able to categorize any given set of images based on the visual appearance of the images. Images that have similar image regions are grouped together in the same category. Thus, for example, images which contain cars are assigned to the same cluster. The unsupervised visual object categorization system can be used in many situations, e.g., in an Internet search engine. The system can categorize images for a user, and the user can then easily find a specific type of image.

Development of Collaborative Product Structure Management

The purpose of this thesis is to develop an environment or network that enables effective collaborative product structure management among stakeholders in each unit, throughout the entire product lifecycle and product data management. This thesis uses framework models as an approach to the problem. Framework model methods for development of collaborative product structure management are proposed in this study, there are three unique models depicted to support collaborative product structure management: organization model, process model and product model. In the organization model, the formation of product data management system (eDSTAT) key user network is specified. In the process model, development is based on the case company’s product development matrix. In the product model framework, product model management, product knowledge management and design knowledge management are defined as development tools and collaboration is based on web-based product structure management. Collaborative management is executed using all these approaches. A case study from an actual project at the case company is presented as an implementation; this is to verify the models’ applicability. A computer assisted design tool and the web-based product structure manager, have been used as tools of this collaboration with the support of the key user. The current PDM system, eDSTAT, is used as a piloting case for key user role. The result of this development is that the role of key user as a collaboration channel is defined and established. The key user is able to provide one on one support for the elevator projects. Also the management activities are improved through the application of process workflow by following criteria for each project milestone. The development shows effectiveness of product structure management in product lifecycle, improved production process by eliminating barriers (e.g. improvement of two-way communication) during design phase and production phase. The key user role is applicable on a global scale in the company.

Tiedonjakamisprosessin kehittämisen haasteet hoitotyössä

Työn tavoitteena on tutkia tiedon jakamisprosessiin ja sen kehittämiseen vaikuttavia tekijöitä hoitotyössä, sekä löytää kiinnekohtia, joita organisaatioiden tulisi huomioida kehittäessään kyseisiä prosesseja. Työ käsittelee tiedon jakamista yleisesti, sekä tiedon jakamista tietoteknisten välineiden avulla. Työ sisältää kirjallisuuskatsauksen, jossa perehdytään prosessien kehittämiseen PROPER-mallia hyödyntäen, muutosjohtamiseen sekä tiedon jakamiseen yleisesti ja hoitotyön viitekehyksessä. Kirjallisuuskatsauksessa esiteltyyn teoriaan nojaten työ esittelee tutkimuksen, jossa ryhmähaastattelua hyödyntäen selvitettiin erilaisia tiedon jakamisen prosessiin ja sen kehittämiseen negatiivisesti vaikuttavia tekijöitä hoitotyössä. Työn tuloksena syntyy joukko haastatteluissa esiin tulleita teemoja, joita voidaan hyödyntää organisaation tasolla käsiteltäessä kyseisiä teemoja.

Salivary gland cancer in Finland: Incidence, histological distribution, outcome and prognostic factors

Salivary gland cancer (SGC) is a rare cancer. The histological classification of SGC is complex and its biological behavior highly variable: it may vary from a low-grade tumor to a high-grade and often fatal malignancy. These circumstances make this cancer a diagnostic and therapeutic challenge. Older age and exposure to ionizing radiation are known risk factors. The mainstay of treatment is surgery combined with adjuvant radiation therapy, when appropriate. In addition to the histological type, the only well known prognostic factor is the TNM classification, which describes the tumor size and the amount of metastases. This study was performed using a full population-based nationwide cohort of SGC patients and tumors diagnosed in Finland in 1991-1996. The annual incidence of SGC in the entire population was, on average, 47.7 per year. By histological re-evaluation of 237 specimens the most frequent histological types were the adenoid cystic carcinoma (n=65; 27%), the mucoepidermoid carcinoma (n=45; 19%) and the acinic cell carcinoma (n=41; 17%). The highest 10-year disease-specific survival rate occurred among patients with acinic cell carcinoma (90%), followed by mucoepidermoid carcinoma (81%) and adenoid cystic carcinoma (60%). A high volume-corrected index (VCI) of Ki-67 correlated with worse survival of patients with SGC. Computer-assisted morphometric analyses of CD34-positive vessels indicated an unfavorable prognosis for patients with mucoepidermoid carcinoma and an association with poor survival among patients with acinic cell carcinoma. A high level of expression of matrix metalloproteinase-9 (MMP-9) showed a trend for a poorer prognosis in salivary duct carcinoma, and a high level of MMP-13 and a low level of MMP-1 had a trend for a poorer prognosis of patients with SGC. A low level of MMP-7 was associated with a poor prognosis of patients with acinic cell and mucoepidermoid carcinoma.

Osavalmistuksen tuotannonohjauksen kehittäminen liikkuvia työkoneita valmistavassa yrityksessä

Tämän diplomityön tavoitteena oli kehittää erään liikkuvia työkoneita valmistavan yrityksen osavalmistuksen tuotannonohjausta. Ohjauksen kehittämisessä otettiin huomioon myös tehtaan liityntäpinnat, eli koko tilaus- toimitusketju. Tuotannonohjauksesta oli tavoitteena kehittää visuaalinen ja mahdollisimman itseohjautuva. Työssä on selvitetty osavalmistuksen nykytilanne ja ohjauksen ongelmakohdat. Kappaleiden valmistamiseen käytettävät vaiheajat tarkastettiin ja tutkittiin tehtaalla valmistettavien merkittävien osien kohdalta. Osasta tuotteista selvitettiin myös tuotteiden valmistuksen läpäisyajat konkreettisten seurantalomakkeiden avulla. Yritykselle soveltuvin ohjausmallin runko etsittiin työn tavoitteen ja toimintaympäristön kautta. Lopulta parhaaksi valitun ohjausmallin toimivuus varmistettiin tietokoneavusteisen simuloinnin avulla. Toiminnan tehostamiseksi työssä on annettu idea myös kuinka tehtaan layoutia olisi hyvä muuttaa. Ohjausmallin käytännön toteutuksesta on työssä annettu esimerkki. Esimerkissä on huomioitu millaista visuaalista ratkaisua olisi parasta käyttää ohjauksen itseohjautuvuuden lisäämiseksi. Työssä annettu myös ideoita kuinka osien varastointia ja kotiinkutsujen tekemistä olisi hyvä parantaa sekä miten saldotietoja saisi mahdollisesti helpommin ylläpidettäväksi.

Kone- ja laitesuunnittelupalvelun nykytilanteen kartoitus ja kehittämisen lähtökohdat muuttuvassa asiakasympäristössä

Haastattelututkimus on menetelmä, jolla voidaan kerätä yrityksen asiakaskunnalta asiakas-palaute ja tulokseksi saadaan yrityksen laatujohtamiseen kuuluva tieto asiakastyytyväisyy-destä. Asiakastyytyväisyystutkimus on yrityksen päätöksentekoa tukeva työkalu. Rejlers Oy:n tavoitteena oli selvittää mahdollisuus yritystoiminnan tehostamiseen yrityksen Itä-Suomen kone- ja laitesuunnittelun osastolla. Työssä tavoite pyrittiin saavuttamaan haastattelun kysymyksenasettelujen kohdistuessa niin yrityksen nykyiseen toimintaan kuin asiakaskunnassa mahdollisesti tapahtuviin muutoksiin. Kirjallisuuden perusteella selvitettiin asiakastyytyväisyystutkimuksen peruskäsitteitä, joita käytettiin työn suorittamisessa. Työn haastattelut suoritettiin Rejlers Oy:n asiakaskunnasta suunnittelupalvelujen volyymiin perustuen valittujen asiakkaiden luona. Haastatteluvastausten tietokoneavusteisesta analyysistä muodostettiin työssä tutkimuksen tulos. Tutkimustuloksesta todetaan, että Rejlers Oy:n nykyiseen toimintaan ei asiakaskunnassa nähdä tarvetta muutoksiin. Palvelutarpeiden mahdollisesti muuttuessa, nousi tutkimustu-loksessa merkittävimmäksi asiakaskuntaa kiinnostavaksi kehitettäväksi palveluksi cleantech-teknologian laaja-alainen osaaminen. Työssä on luotu lähtökohta Rejlers Oy:n käyttöön soveltuvalle asiakastyytyväisyystutki-mukselle. Haastattelututkimuksena suoritettavan asiakastyytyväisyystutkimuksen kehittä-misellä pyritään tehostamaan Rejlers Oy:n yritystoimintaa.

GIS assessing traditional and modern agricultural land use/land cover change. A case study 1959-2005: Rekijoki, Somero, SW-Finland

Finland’s rural landscape has gone through remarkable changes from the 1950’s, due to agricultural developments. Changed farming practices have influenced especially traditional landscape management, and modifications in the arable land structure and grasslands transitions are notable. The review of the previous studies reveal the importance of the rural landscape composition and structure to species and landscape diversity, whereas including the relevance in presence of the open ditches, size of the field and meadow patches, topology of the natural and agricultural landscape. This land-change study includes applying remote sensed data from two time series and empirical geospatial analysis in Geographic Information Systems (GIS). The aims of this retrospective research is to detect agricultural landscape use and land cover change (LULCC) dynamics and discuss the consequences of agricultural intensification to landscape structure covering from the aspects of landscape ecology. Measurements of LULC are derived directly from pre-processed aerial images by a variety of analytical procedures, including statistical methods and image interpretation. The methodological challenges are confronted in the process of landscape classification and combining change detection approaches with landscape indices. Particular importance is paid on detecting agricultural landscape features at a small scale, demanding comprehensive understanding of such agroecosystems. Topological properties of the classified arable land and valley are determined in order to provide insight and emphasize the aspect the field edges in the agricultural landscape as important habitat. Change detection dynamics are presented with change matrix and additional calculations of gain, loss, swap, net change, change rate and tendencies are made. Transition’s possibility is computed following Markov’s probability model and presented with matrix, as well. Thesis’s spatial aspect is revealed with illustrative maps providing knowledge of location of the classified landscape categories and location of the dynamics of the changes occurred. It was assured that in Rekijoki valley’s landscape, remarkable changes in landscape has occurred. Landscape diversity has been strongly influenced by modern agricultural landscape change, as NP of open ditches has decreased and the MPS of the arable plot has decreased. Overall change in the diversity of the landscape is determined with the decrease of SHDI. Valley landscape considered as traditional land use area has experienced major transitional changes, as meadows class has lost almost one third of the area due to afforestation. Also, remarkable transitions have occurred from forest to meadow and arable land to built area. Boundaries measurement between modern and traditional landscape has indicated noticeable proportional increase in arable land-forest edge type and decrease in arable land-meadow edge type. Probability calculations predict higher future changes for traditional landscape, but also for arable land turning into built area.