Keraamisten laattojen luokittelu väripiirteiden avulla

Vaikka keraamisten laattojen valmistusprosessi onkin täysin automatisoitu, viimeinen vaihe eli laaduntarkistus ja luokittelu tehdään yleensä ihmisvoimin. Automaattinen laaduntarkastus laattojen valmistuksessa voidaan perustella taloudellisuus- ja turvallisuusnäkökohtien avulla. Tämän työn tarkoituksena on kuvata tutkimusprojektia keraamisten laattojen luokittelusta erilaisten väripiirteiden avulla. Oleellisena osana tutkittiin RGB- ja spektrikuvien välistä eroa. Työn teoreettinen osuus käy läpi aiemmin aiheesta tehdyn tutkimuksen sekä antaa taustatietoa konenäöstä, hahmontunnistuksesta, luokittelijoista sekä väriteoriasta. Käytännön osan aineistona oli 25 keraamista laattaa, jotka olivat viidestä eri luokasta. Luokittelussa käytettiin apuna k:n lähimmän naapurin (k-NN) luokittelijaa sekä itseorganisoituvaa karttaa (SOM). Saatuja tuloksia verrattiin myös ihmisten tekemään luokitteluun. Neuraalilaskenta huomattiin tärkeäksi työkaluksi spektrianalyysissä. SOM:n ja spektraalisten piirteiden avulla saadut tulokset olivat lupaavia ja ainoastaan kromatisoidut RGB-piirteet olivat luokittelussa parempia kuin nämä.

KUMPPANUUKSIEN LAATUTEKIJÄT JA KUMPPANUUSKYVYKKYYS VERKOSTOSUHTEIDEN KRIITTISINÄ MENESTYSTEKIJÖINÄ

Pro gradu -tutkielman tavoitteena on selvittää, mitkä ovat kahden yrityksen läheisen verkostoyhteistyösuhteen menestystekijät ja kuinka yritys pystyy parantamaan onnistumistaan verkostosuhteissaan. Päämääränä on selvittää kirjallisuudesta löydettyjen menestystekijöiden avulla, mikä on case –yritysten yhteistyösuhteiden ja kumppanuuskyvykkyyden nykytila, pullonkaulatekijät ja kuinka niitä voidaan parantaa. Tutkielman tavoitteisiin on pyritty kvalitatiivisiin tutkimusmenetelmiin kuuluvalla case –tutkimuksella. Aineisto kerättiin teemahaastatteluin ja analysoitiin purkamalla ne sanallisiin, teema-alueiden mukaisiin kokonaisuuksiin. Analyysissä käytettiin osittain Atlas.Ti –ohjelmistoa. Tutkimuksen tulokset osoittavat, että läheisen verkostoyhteistyösuhteen menestystekijät ovat luottamus, sitoutuminen ja kommunikaatio sekä verkostoidentiteetti. Näistä luottamuksen tila oli tutkituissa suhteissa hyvä ja sitoutumisenkin kohtuullinen. Sen sijaan verkostoidentiteetti oli jossain määrin epäselvä ja kommunikaatiossa oli puutteita kasvaen sitä mukaan, kun organisaatiohierarkiassa edetään korkeammalle. Nämä mahdollisesti heikentävät läheisestä suhteesta saatavia hyötyjä. Tulokset osoittavat myös sen, että nostaakseen onnistumisen tason kaikissa yhteistyösuhteissaan, niiden tulee pyrkiä järjestelmällisesti hyödyntämään aikaisempaa yhteistyökokemustaan ja näin rakentamaan kumppanuuskyvykkyyttään. Kohdeyrityksissä oli tehty vielä vähän konkreettisia toimenpiteitä yritystason kumppanuuskyvykkyyden kohentamiseksi.

3D Surface Modeling From Point Clouds

The goal of this thesis is to implement software for creating 3D models from point clouds. Point clouds are acquired with stereo cameras, monocular systems or laser scanners. The created 3D models are triangular models or NURBS (Non-Uniform Rational B-Splines) models. Triangular models are constructed from selected areas from the point clouds and resulted triangular models are translated into a set of quads. The quads are further translated into an estimated grid structure and used for NURBS surface approximation. Finally, we have a set of NURBS surfaces which represent the whole model. The problem wasn’t so easy to solve. The selected triangular surface reconstruction algorithm did not deal well with noise in point clouds. To handle this problem, a clustering method is introduced for simplificating the model and removing noise. As we had better results with the smaller point clouds produced by clustering, we used points in clusters to better estimate the grids for NURBS models. The overall results were good when the point cloud did not have much noise. The point clouds with small amount of error had good results as the triangular model was solid. NURBS surface reconstruction performed well on solid models.

Det planlagda och det som visar sig : klasslärarstuderandes syn på undervisning i teknisk slöjd

Sloyd as an activity concretizes man’s ability to, with the help of mind and body, reshape materials into objects and change her conditions for survival. The sloyd actor outside school works when the spirit moves her, while the pupil in school is expected to sloyd regardless of motivation. Subject teachers become experts on sloyd in educational settings, while the qualification requirements may set the class teachers’ voluntariness within parenthesis. All class teachers qualify to teach all core subjects of the national curriculum in Finland from preschool to grade six. The aim of the current thesis is to deepen the knowledge on how the science of sloyd education can support class teacher students’ future teaching in sloyd. In the empirical part of the study, Swedish-speaking Finnish class teacher students’ views on technical sloyd as one of their future subjects for teaching are examined. The class teacher’s qualifying skills in teaching technical sloyd are expected to take shape during only a few ECTS study points. The teacher students’ experience of the subject from the pupil’s perspective is supposed to move into a budding teacher subject. In a research-based teacher education, self-reflection and reflection as a dialogue are extended aided by research results. Intuitive thinking interplays with rational thinking during this time. The teacher student’s approach to make use of the autonomous free space in teaching is, in the current thesis, as considerations where the individual weighs the pros and cons in relation to various phenomena in sloyd and the school overall. The basis for an individual autonomy is shaped and is expected to interplay on the common arena of autonomy. In the exercise of their profession, the class teacher teaching sloyd is expected to oscillate between the sloyd educational practice and theory. The first step in this movement within the teacher education is the coverage of a selection of theories during the studies. The empirical part of the study is carried out at two separate occasions with directed open-ended interviews with fifteen class teacher students in the beginning and end of their first year of study. The data was analysed with a hermeneutic approach and a qualitatively oriented approach to content analysis. The results are mirrored against theory within the science of sloyd education. The results show that class teacher students have a versatile view of educational sloyd. The overall results overthrow parts of the researcher’s pre-understanding. The viewpoint of the students seems to broaden from a merely manual activity to seeing sloyd as an educational activity. In order for the results to gain significance in the teacher education of the future, a line of reasoning is conducted in order to recommend an extended dialogue and thirteen possible themes for enriching discussions are put forth as a result of the present study. The extended dialogue focuses on that teacher education should make conscious ventures to create opportunities for the students to take part in effective discussions on the subject of sloyd, complementing the existing dialogue between the teacher educator and the students. This thesis lends support to reflections on the following aspects of educational sloyd in these dialogues: the reasons for why the sloyd subject exists, the ambitions of the subject, the content and organization of the subject for students as well as for the teacher educators.

Influence of Pulsed-Electric Field Irradiation in Crystallization

The growing pharmaceutical interest, among others, in the polymorphic composition of the emerging solid end-products from production processes has been traced to the need for attainment of high product purity. This is more so as the presence of different polymorphs may constitute physical impurity of the product. Hence, the need for optimization of the yield of desired product component(s) through controlled crystallization kinetics for instance. This study was carried out to investigate the impact of pulsed electric field (PEF) irradiation on the crystal morphology of glycine obtained by cooling crystallization (without seeding) from commercial glycine sample in distilled deionized water solution. In doing so, three different pulse frequencies (294, 950 and 145 Hz) and a case without PEF were studied at three cooling rates (5, 10 and 20 ºC/h). The crystal products obtained were analyzed for polymorphic composition by powder x-ray diffraction (PXRD) and Fourier transform infrared (FTIR) spectroscopy while the particles characterization was done on Morphologi G3. The results obtained from this study showed that pulsed electric field irradiation had significant impact on metastability of the aqueous solution as well as on the polymorphic composition of the end product. With increasing PEF frequency applied, nucleation started earlier and the γ-glycine polymorph content of the product crystals increased. These were found to have been aided by cooling rate, as the most significant effect was observed at 5 ºC/h. It was also discovered that PEF application had no measurable impact on the pH of the aqueous solution as well as the size distribution of the particles. Cooling on the contrary was believed to be responsible for the broadening of the particle size distribution with a downward shift of the lower limit of the raw material from about 100 μm to between 10 and 50 μm.

Visual Customer Segmentation and Data Exploration with the Self-Organizing Map

Advancements in information technology have made it possible for organizations to gather and store vast amounts of data of their customers. Information stored in databases can be highly valuable for organizations. However, analyzing large databases has proven to be difficult in practice. For companies in the retail industry, customer intelligence can be used to identify profitable customers, their characteristics, and behavior. By clustering customers into homogeneous groups, companies can more effectively manage their customer base and target profitable customer segments. This thesis will study the use of the self-organizing map (SOM) as a method for analyzing large customer datasets, clustering customers, and discovering information about customer behavior. Aim of the thesis is to find out whether the SOM could be a practical tool for retail companies to analyze their customer data.

Assessing Strategic IT Investments of Forest Industry by Means of the Real Options Approach, Case: Stora Enso

Tutkimuksen päämääränä oli tutkia miten reaalioptiomenetelmä soveltuu metsäteollisuuden strategisten informaatioteknologiainvestointien arvioimiseen. Tässä tutkimuksessa muodostettiin mukautettu reaalioptiosovelluskehys, esiteltyjen reaalioptiosovelluskehyksien perusteella. Valitut investointiehdotukset arvioitiin muodostetun sovelluskehyksen avulla. Tutkimus oli luonteeltaan kvalitatiivinen. Pääasiallisia tiedonlähteitä olivat lehtiartikkelit, GDSS -istunnot ja haastattelut. Tutkimuksen tuloksena selvisi, että reaalioptiomenetelmä sopii metsäteollisuudenstrategisten informaatioteknologiainvestointien arvioimiseen. On kuitenkin huomioitava, että investoinnin suunnitteluprosessin kypsyysaste vaikuttaa reaalioptiomenetelmän soveltamiseen. Tutkimuksessa arvioidut investoinnit ovat investoinnin suunnitteluvaiheen varhaisessa vaiheessa.

Classification-Based compression of Multispectral Images

The purpose of this thesis is to present a new approach to the lossy compression of multispectral images. Proposed algorithm is based on combination of quantization and clustering. Clustering was investigated for compression of the spatial dimension and the vector quantization was applied for spectral dimension compression. Presenting algo¬rithms proposes to compress multispectral images in two stages. During the first stage we define the classes' etalons, another words to each uniform areas are located inside the image the number of class is given. And if there are the pixels are not yet assigned to some of the clusters then it doing during the second; pass and assign to the closest eta¬lons. Finally a compressed image is represented with a flat index image pointing to a codebook with etalons. The decompression stage is instant too. The proposed method described in this paper has been tested on different satellite multispectral images from different resources. The numerical results and illustrative examples of the method are represented too.

Classification and inventory management of abnormal demand items

The main objective of the study is to form a framework that provides tools to recognise and classify items whose demand is not smooth but varies highly on size and/or frequency. The framework will then be combined with two other classification methods in order to form a three-dimensional classification model. Forecasting and inventory control of these abnormal demand items is difficult. Therefore another object of this study is to find out which statistical forecasting method is most suitable for forecasting of abnormal demand items. The accuracy of different methods is measured by comparing the forecast to the actual demand. Moreover, the study also aims at finding proper alternatives to the inventory control of abnormal demand items. The study is quantitative and the methodology is a case study. The research methods consist of theory, numerical data, current state analysis and testing of the framework in case company. The results of the study show that the framework makes it possible to recognise and classify the abnormal demand items. It is also noticed that the inventory performance of abnormal demand items differs significantly from the performance of smoothly demanded items. This makes the recognition of abnormal demand items very important.