36 resultados para Invariant Object Recognition


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Monet teollisuuden konenäkö- ja hahmontunnistusongelmat ovat hyvin samantapaisia, jolloin prototyyppisovelluksia suunniteltaessa voitaisiin hyödyntää pitkälti samoja komponentteja. Oliopohjaiset sovelluskehykset tarjoavat erinomaisen tavan nopeuttaa ohjelmistokehitystä uudelleenkäytettävyyttä parantamalla. Näin voidaan sekä mahdollistaa konenäkösovellusten laajempi käyttö että säästää kustannuksissa. Tässä työssä esitellään konenäkösovelluskehys, joka on perusarkkitehtuuriltaan liukuhihnamainen. Ylätason rakenne koostuu sensorista, datankäsittelyoperaatioista, piirreirrottimesta sekä luokittimesta. Itse sovelluskehyksen lisäksi on toteutettu joukko kuvankäsittely- ja hahmontunnistusoperaatioita. Sovelluskehys nopeuttaa selvästi ohjelmointityötä ja helpottaa uusien kuvankäsittelyoperaatioiden lisää mistä.

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In the modern warfare there is an active development of a new trend connected with a robotic warfare. One of the critical elements of robotics warfare systems is an automatic target recognition system, allowing to recognize objects, based on the data received from sensors. This work considers aspects of optical realization of such a system by means of NIR target scanning at fixed wavelengths. An algorithm was designed, an experimental setup was built and samples of various modern gear and apparel materials were tested. For pattern testing the samples of actively arm engaged armies camouflages were chosen. Tests were performed both in clear atmosphere and in the artificial extremely humid and hot atmosphere to simulate field conditions.

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This study presents the information required to describe the machine and device resources in the turret punch press environment which are needed for the development of the analysing method for automated production. The description of product and device resources and their interconnectedness is the starting point for method comparison the development of expenses, production planning and the performance of optimisation. The manufacturing method cannot be optimized unless the variables and their interdependence are known. Sheet metal parts in particular may then become remarkably complex, and their automatic manufacture may be difficult or, with some automatic equipment, even impossible if not know manufacturing properties. This thesis consists of three main elements, which constitute the triangulation. In the first phase of triangulation, the manufacture occuring on a turret punch press is examined in order to find the factors that affect the efficiency of production. In the second phase of triangulation, the manufacturability of products on turret punch presses is examined through a set of laboratory tests. The third phase oftriangulation involves an examination of five industry parts. The main key findings of this study are: all possible efficiency in high automation level machining cannot be achieved unless the raw materials used in production and the dependencies of the machine and tools are well known. Machine-specific manufacturability factors for turret punch presses were not taken into account in the industrial case samples. On the grounds of the performed tests and industrial case samples, the designer of a sheet metal product can directly influence the machining time, material loss, energy consumption and the number of tools required on a turret punch press by making decisions in the way presented in the hypothesis of thisstudy. The sheet metal parts to be produced can be optimised to bemanufactured on a turret punch press when the material to be used and the kinds of machine and tool options available are known. This provides in-depth knowledge of the machine and tool properties machine and tool-specifically. None of the optimisation starting points described here is a separate entity; instead, they are all connected to each other.

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The development of correct programs is a core problem in computer science. Although formal verification methods for establishing correctness with mathematical rigor are available, programmers often find these difficult to put into practice. One hurdle is deriving the loop invariants and proving that the code maintains them. So called correct-by-construction methods aim to alleviate this issue by integrating verification into the programming workflow. Invariant-based programming is a practical correct-by-construction method in which the programmer first establishes the invariant structure, and then incrementally extends the program in steps of adding code and proving after each addition that the code is consistent with the invariants. In this way, the program is kept internally consistent throughout its development, and the construction of the correctness arguments (proofs) becomes an integral part of the programming workflow. A characteristic of the approach is that programs are described as invariant diagrams, a graphical notation similar to the state charts familiar to programmers. Invariant-based programming is a new method that has not been evaluated in large scale studies yet. The most important prerequisite for feasibility on a larger scale is a high degree of automation. The goal of the Socos project has been to build tools to assist the construction and verification of programs using the method. This thesis describes the implementation and evaluation of a prototype tool in the context of the Socos project. The tool supports the drawing of the diagrams, automatic derivation and discharging of verification conditions, and interactive proofs. It is used to develop programs that are correct by construction. The tool consists of a diagrammatic environment connected to a verification condition generator and an existing state-of-the-art theorem prover. Its core is a semantics for translating diagrams into verification conditions, which are sent to the underlying theorem prover. We describe a concrete method for 1) deriving sufficient conditions for total correctness of an invariant diagram; 2) sending the conditions to the theorem prover for simplification; and 3) reporting the results of the simplification to the programmer in a way that is consistent with the invariantbased programming workflow and that allows errors in the program specification to be efficiently detected. The tool uses an efficient automatic proof strategy to prove as many conditions as possible automatically and lets the remaining conditions be proved interactively. The tool is based on the verification system PVS and i uses the SMT (Satisfiability Modulo Theories) solver Yices as a catch-all decision procedure. Conditions that were not discharged automatically may be proved interactively using the PVS proof assistant. The programming workflow is very similar to the process by which a mathematical theory is developed inside a computer supported theorem prover environment such as PVS. The programmer reduces a large verification problem with the aid of the tool into a set of smaller problems (lemmas), and he can substantially improve the degree of proof automation by developing specialized background theories and proof strategies to support the specification and verification of a specific class of programs. We demonstrate this workflow by describing in detail the construction of a verified sorting algorithm. Tool-supported verification often has little to no presence in computer science (CS) curricula. Furthermore, program verification is frequently introduced as an advanced and purely theoretical topic that is not connected to the workflow taught in the early and practically oriented programming courses. Our hypothesis is that verification could be introduced early in the CS education, and that verification tools could be used in the classroom to support the teaching of formal methods. A prototype of Socos has been used in a course at Åbo Akademi University targeted at first and second year undergraduate students. We evaluate the use of Socos in the course as part of a case study carried out in 2007.

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The main focus of the present thesis was at verbal episodic memory processes that are particularly vulnerable to preclinical and clinical Alzheimer’s disease (AD). Here these processes were studied by a word learning paradigm, cutting across the domains of memory and language learning studies. Moreover, the differentiation between normal aging, mild cognitive impairment (MCI) and AD was studied by the cognitive screening test CERAD. In study I, the aim was to examine how patients with amnestic MCI differ from healthy controls in the different CERAD subtests. Also, the sensitivity and specificity of the CERAD screening test to MCI and AD was examined, as previous studies on the sensitivity and specificity of the CERAD have not included MCI patients. The results indicated that MCI is characterized by an encoding deficit, as shown by the overall worse performance on the CERAD Wordlist learning test compared with controls. As a screening test, CERAD was not very sensitive to MCI. In study II, verbal learning and forgetting in amnestic MCI, AD and healthy elderly controls was investigated with an experimental word learning paradigm, where names of 40 unfamiliar objects (mainly archaic tools) were trained with or without semantic support. The object names were trained during a 4-day long period and a follow-up was conducted one week, 4 weeks and 8 weeks after the training period. Manipulation of semantic support was included in the paradigm because it was hypothesized that semantic support might have some beneficial effects in the present learning task especially for the MCI group, as semantic memory is quite well preserved in MCI in contrast to episodic memory. We found that word learning was significantly impaired in MCI and AD patients, whereas forgetting patterns were similar across groups. Semantic support showed a beneficial effect on object name retrieval in the MCI group 8 weeks after training, indicating that the MCI patients’ preserved semantic memory abilities compensated for their impaired episodic memory. The MCI group performed equally well as the controls in the tasks tapping incidental learning and recognition memory, whereas the AD group showed impairment. Both the MCI and the AD group benefited less from phonological cueing than the controls. Our findings indicate that acquisition is compromised in both MCI and AD, whereas long13 term retention is not affected to the same extent. Incidental learning and recognition memory seem to be well preserved in MCI. In studies III and IV, the neural correlates of naming newly learned objects were examined in healthy elderly subjects and in amnestic MCI patients by means of positron emission tomography (PET) right after the training period. The naming of newly learned objects by healthy elderly subjects recruited a left-lateralized network, including frontotemporal regions and the cerebellum, which was more extensive than the one related to the naming of familiar objects (study III). Semantic support showed no effects on the PET results for the healthy subjects. The observed activation increases may reflect lexicalsemantic and lexical-phonological retrieval, as well as more general associative memory mechanisms. In study IV, compared to the controls, the MCI patients showed increased anterior cingulate activation when naming newly learned objects that had been learned without semantic support. This suggests a recruitment of additional executive and attentional resources in the MCI group.

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The large and growing number of digital images is making manual image search laborious. Only a fraction of the images contain metadata that can be used to search for a particular type of image. Thus, the main research question of this thesis is whether it is possible to learn visual object categories directly from images. Computers process images as long lists of pixels that do not have a clear connection to high-level semantics which could be used in the image search. There are various methods introduced in the literature to extract low-level image features and also approaches to connect these low-level features with high-level semantics. One of these approaches is called Bag-of-Features which is studied in the thesis. In the Bag-of-Features approach, the images are described using a visual codebook. The codebook is built from the descriptions of the image patches using clustering. The images are described by matching descriptions of image patches with the visual codebook and computing the number of matches for each code. In this thesis, unsupervised visual object categorisation using the Bag-of-Features approach is studied. The goal is to find groups of similar images, e.g., images that contain an object from the same category. The standard Bag-of-Features approach is improved by using spatial information and visual saliency. It was found that the performance of the visual object categorisation can be improved by using spatial information of local features to verify the matches. However, this process is computationally heavy, and thus, the number of images must be limited in the spatial matching, for example, by using the Bag-of-Features method as in this study. Different approaches for saliency detection are studied and a new method based on the Hessian-Affine local feature detector is proposed. The new method achieves comparable results with current state-of-the-art. The visual object categorisation performance was improved by using foreground segmentation based on saliency information, especially when the background could be considered as clutter.

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Latviassa ja Venäjällä heikko demografinen tilanne on lisännyt keskustelua seksuaali- ja kansalaisoikeuksista sekä valtion merkityksestä niiden toteuttamisessa. Väestöpolitiikassa näkyy yhteiskunnallinen tilanne sekä sen kyky ja mahdollisuudet huomioida nuorten perhesuunnitteluun liittyviä tarpeita. Huomion kohteena on myös palvelujärjestelmä ja siinä toteutuva yksilöllinen taso. Tutkin perhesuunnittelua kokonaisvaltaisesti, mikä ilmenee erilaisten polkuriippuvuuksien tarkasteluina. Mielenkiintoiseksi kohteen tekee entisten sosialististen valtioiden erityislaatuisen murroksen läpikäyminen. Perhesuunnittelu on osa seksuaali- ja ihmisoikeuksia. Siihen kuuluu seksuaaliterveydestä tiedottaminen ja ohjaus sekä siihen liittyvät toimenpiteet. Perhesuunnittelu sisältää niin sosiaaliset, kasvatukselliset kuin lääketieteellisetkin näkökulmat. Siihen liitetään myös moraalisia ja taloudellisia näkemyksiä, sekä politiikkaa ja henkilökohtaisuutta. Tutkimustehtäväni on nuorten perhesuunnittelun esteet ja tarpeet Riiassa ja Pietarissa. Sovellan metodologisena lähestymistapana sosiaalihistoriallista ja etnografista tutkimusotetta, jolloin perinteen vaikutusten, kulttuuristen rakenteiden ja yksilöllisten toimintatapojen ymmärtäminen mahdollistuu. Aineisto koostuu viranomaishaastatteluista sosialismin kaudella toteutuneesta sekä nykyisestä perhesuunnittelusta ja nuorten haastatteluista Pietarissa ja Riiassa. Perehdyn myös lisääntymisterveyteen liittyviin sanomalehtiartikkeleihin sekä Latviassa että Venäjällä. Lisäksi havainnoin seksuaalineuvontatilanteita Pietarissa. Sekä sosialismin aikana että nykyään painottuvat väestönkasvun odotukset, joita tuetaan sukupuoli- ja moraalikasvatuksen avulla. Perhesuunnittelun esteiden analyysin tuloksissa on nähtävissä sosiaalisten olosuhteiden ja rakenteiden merkitys. Jälkisosialistisesta riskiyhteiskunnasta puuttuvat yhteiskuntaan integroitumisen mahdollistavat instituutiot. Tämä ilmenee yhteiskunnallisena vastuuttomuutena. Universaalit palvelut ovat suurelta osin peräisin sosialismin ajalta. Kaupalliset yritykset tekevät lähinnä teknisiä, yksittäisiä ehkäisyvälineisiin liittyviä interventioita nuorten elämään. Teini-ikäiset jätetään oman harkintansa varaan. Latviassa perhesuunnitteluun liittyvä ennalta ehkäisevä toiminta on huomioitu uudessa lisääntymisterveyslaissa, mutta sen heikko toteutus tuo sen lähelle neuvostoaikaista kulttuurikonventiota, jossa määrällisillä suoritteilla ja sekundaaripreventiolla on arvoa. Venäjällä voimavarat kohdentuvat jälkihuollon palveluihin. Foucaultin valta-analyysi kertoo strategiasta, jossa ihminen sisäistää vallankäytön osaksi omaa ajatteluaan ja toimintaansa. Tässä näkökulmassa yksilöllinen, yhteiskunnallinen ja historiallinen ulottuvuus limittyvät toisiinsa. Vallan muodot ovat yhteiskunnan rakenteissa. Väestöpolitiikan avulla tuotetaan tietoa ja muovataan hallitsemisen kohteita. Osa haastatelluista nuorista omaksui yhteiskunnan passiivisuuden osaksi omaa toimintaansa. He eivät tiedostaneet palvelujärjestelmän puutteita eivätkä kyseenalaistaneet sen oikeutusta. Myös lehtiartikkelit ja viranomaishaastattelut tukivat osittain seksuaalikasvatuksen sivuuttamista. Silloin hyväksyttävänä totuutena pidettiin väestöpolitiikkaa, jossa on annettu tilaa populistisille suuntauksille. Sekä Latviassa että Venäjällä ilmaistiin tavoitteita väestön kasvusta. Kansainvälisten seksuaalioikeuksien maihinnousu ei ole poistanut ääri uskonnollisten ja osittain kansalaisjärjestöjen puitteissa tapahtuvaa perhesuunnittelun vastustusta. Näissä suuntauksissa vaikutetaan ihmisten moraaliin ja vastustetaan yhteiskunnan interventioita kieltämällä seksuaalikasvatus. Sosialismin aikana sosiaali- ja terveydenhuoltoa toteutettiin totalitaristisessa, suljetussa yhteiskunnassa tiukasti rajatuilla voimavaroilla. Tuolta ajalta peräisin oleva viranomaisten yleinen medikalisoitunut ja tekninen lähestymistapa estää osittain nuoren valtaistumista. Vieläkin heikko tiedottaminen ja puutteellinen koulutus vaikuttavat ammattilaisten keskuudessa. Yksi haitallisista perhesuunnitteluun kuuluvista uskomuksista oli hormonaalisen ehkäisyn aiheuttamat ongelmat. Lisäksi pelättiin heikkotasoisesti tehtyjen aborttien aiheuttavan hedelmättömyyttä. Uskomukset ovat eläneet vieläkin, kun osa asiantuntijoista kannusti ensimmäisen raskauden päättymistä synnytykseen. Näillä käsityksillä on ollut taipumus siirtyä sukupolvelta toiselle myös kansalaisten keskuudessa. Sukuyhteisöjen ja verkostojen oleellinen merkitys teini-ikäisen arjessa ja selviytymisessä painotti perinteistä sosialisaatiota. Uskomusten lisäksi nuorten heikko taloudellinen tilanne on ohjannut heitä ehkäisyssä luonnonmenetelmien käyttöön. Neuvostoaikainen seksuaalikielteisyyden perinne on vaikuttanut myös sukupolvien kyvyttömyyteen keskustella aiheesta. Yleisen ennaltaehkäisevän neuvonnan puuttuminen on suunnannut suurta osaa nuoria mallioppimiseen, jossa esimerkit ovat nousseet satunnaisista löydöistä. Toisaalta työntekijöiden neuvokkuus ja aloitteellisuus erilaisissa ohjaamistilanteissa, toimintatavoissa ja instituutioiden perustamisissa kuvaavat eettistä vastuunottoa ja paneutumista nuorten perhesuunnittelun toteutumiseen sekä sen mahdollisuuksiin. Perhesuunnitteluun liittyvän tiedonsaannin parantamiseksi viranomaiset ovat aloittaneet nuorten vertaisryhmiä. Lisäksi yhtenä uutena virallisena lähestymistapana oli neuvostoaikana kielletty psykoterapeuttisen suuntauksen avoin käyttöönotto. Myös nuorille suunnattuja palveluja niin lainsäädännön kuin instituutioiden tasolla on saatu aikaan. Nämä myönteiset tapaukset jäivät kuitenkin yksittäisiksi, osittain joidenkin työntekijöiden omakohtaisen sitoutumisen varaan toimiviksi. Tutkimuksessa nousee esiin yhteiskunnan vastuu erityisesti haavoittuvien ryhmien kohdalla. Nuoret ovat tiedoiltaan ja kokemuksiltaan heikossa asemassa. Sosiaalipoliittisesta näkökulmasta julkisilla ja ennaltaehkäisevillä palveluilla on keskeinen merkitys etenkin niiden kohdalla, jotka tarvitsevat runsaasti palveluja. Usein tähän ryhmään kuuluvat ovat passiivisia tiedon hakijoita. Tutkimus tuo esille perhesuunnittelun palvelujärjestelmään ja sen kohderyhmään kuuluvan moniulotteisuuden, jossa toisiinsa nivoutuvat kulttuuriset myytit, uskomukset, tabut, toimintatavat ja tietämys. Näiden polkujen avaaminen tässä tutkimuksessa edistää perhesuunnittelun esteiden tunnistamista ja niihin soveltuvien ratkaisukeinojen löytymistä.

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Object-oriented programming is a widely adopted paradigm for desktop software development. This paradigm partitions software into separate entities, objects, which consist of data and related procedures used to modify and inspect it. The paradigm has evolved during the last few decades to emphasize decoupling between object implementations, via means such as explicit interface inheritance and event-based implicit invocation. Inter-process communication (IPC) technologies allow applications to interact with each other. This enables making software distributed across multiple processes, resulting in a modular architecture with benefits in resource sharing, robustness, code reuse and security. The support for object-oriented programming concepts varies between IPC systems. This thesis is focused on the D-Bus system, which has recently gained a lot of users, but is still scantily researched. D-Bus has support for asynchronous remote procedure calls with return values and a content-based publish/subscribe event delivery mechanism. In this thesis, several patterns for method invocation in D-Bus and similar systems are compared. The patterns that simulate synchronous local calls are shown to be dangerous. Later, we present a state-caching proxy construct, which avoids the complexity of properly asynchronous calls for object inspection. The proxy and certain supplementary constructs are presented conceptually as generic object-oriented design patterns. The e ect of these patterns on non-functional qualities of software, such as complexity, performance and power consumption, is reasoned about based on the properties of the D-Bus system. The use of the patterns reduces complexity, but maintains the other qualities at a good level. Finally, we present currently existing means of specifying D-Bus object interfaces for the purposes of code and documentation generation. The interface description language used by the Telepathy modular IM/VoIP framework is found to be an useful extension of the basic D-Bus introspection format.

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During a possible loss of coolant accident in BWRs, a large amount of steam will be released from the reactor pressure vessel to the suppression pool. Steam will be condensed into the suppression pool causing dynamic and structural loads to the pool. The formation and break up of bubbles can be measured by visual observation using a suitable pattern recognition algorithm. The aim of this study was to improve the preliminary pattern recognition algorithm, developed by Vesa Tanskanen in his doctoral dissertation, by using MATLAB. Video material from the PPOOLEX test facility, recorded during thermal stratification and mixing experiments, was used as a reference in the development of the algorithm. The developed algorithm consists of two parts: the pattern recognition of the bubbles and the analysis of recognized bubble images. The bubble recognition works well, but some errors will appear due to the complex structure of the pool. The results of the image analysis were reasonable. The volume and the surface area of the bubbles were not evaluated. Chugging frequencies calculated by using FFT fitted well into the results of oscillation frequencies measured in the experiments. The pattern recognition algorithm works in the conditions it is designed for. If the measurement configuration will be changed, some modifications have to be done. Numerous improvements are proposed for the future 3D equipment.

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The recent emergence of low-cost RGB-D sensors has brought new opportunities for robotics by providing affordable devices that can provide synchronized images with both color and depth information. In this thesis, recent work on pose estimation utilizing RGBD sensors is reviewed. Also, a pose recognition system for rigid objects using RGB-D data is implemented. The implementation uses half-edge primitives extracted from the RGB-D images for pose estimation. The system is based on the probabilistic object representation framework by Detry et al., which utilizes Nonparametric Belief Propagation for pose inference. Experiments are performed on household objects to evaluate the performance and robustness of the system.

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

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This thesis researches automatic traffic sign inventory and condition analysis using machine vision and pattern recognition methods. Automatic traffic sign inventory and condition analysis can be used to more efficient road maintenance, improving the maintenance processes, and to enable intelligent driving systems. Automatic traffic sign detection and classification has been researched before from the viewpoint of self-driving vehicles, driver assistance systems, and the use of signs in mapping services. Machine vision based inventory of traffic signs consists of detection, classification, localization, and condition analysis of traffic signs. The produced machine vision system performance is estimated with three datasets, from which two of have been been collected for this thesis. Based on the experiments almost all traffic signs can be detected, classified, and located and their condition analysed. In future, the inventory system performance has to be verified in challenging conditions and the system has to be pilot tested.

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The aim of the present set of longitudinal studies was to explore 3-7-year-old children.s Spontaneous FOcusing on Numerosity (SFON) and its relation to early mathematical development. The specific goals were to capture in method and theory the distinct process by which children focus on numerosity as a part of their activities involving exact number recognition, and individual differences in this process that may be informative in the development of more complex number skills. Over the course of conducting the five studies, fifteen novel tasks were progressively developed for the SFON assessments. In the tasks, confounding effects of insufficient number recognition, verbal comprehension, other procedural skills as well as working memory capacity were aimed to be controlled. Furthermore, how children.s individual differences in SFON are related to their development of number sequence, subitizing-based enumeration, object counting and basic arithmetic skills was explored. The effect of social interaction on SFON was tested. Study I captured the first phase of the 3-year longitudinal study with 39 children. It was investigated whether there were differences in 3-year-old children.s tendency to focus on numerosity, and whether these differences were related to the children.s development of cardinality recognition skills from the age of 3 to 4 years. It was found that the two groups of children formed on the basis of their amount of SFON tendency at the age of 3 years differed in their development of recognising and producing small numbers. The children whose SFON tendency was very predominant developed faster in cardinality related skills from the age of 3 to 4 years than the children whose SFON tendency was not as predominant. Thus, children.s development in cardinality recognition skills is related to their SFON tendency. Studies II and III were conducted to investigate, firstly, children.s individual differences in SFON, and, secondly, whether children.s SFON is related to their counting development. Altogether nine tasks were designed for the assessments of spontaneous and guided focusing on numerosity. The longitudinal data of 39 children in Study II from the age of 3.5 to 6 years showed individual differences in SFON at the ages of 4, 5 and 6 years, as well as stability in children.s SFON across tasks used at different ages. The counting skills were assessed at the ages of 3.5, 5 and 6 years. Path analyses indicated a reciprocal tendency in the relationship between SFON and counting development. In Study III, these results on the individual differences in SFON tendency, the stability of SFON across different tasks and the relationship of SFON and mathematical skills were confirmed by a larger-scale cross-sectional study of 183 on average 6.5-year-old children (range 6;0-7;0 years). The significant amount of unique variance that SFON accounted for number sequence elaboration, object counting and basic arithmetic skills stayed statistically significant (partial correlations varying from .27 to .37) when the effects of non-verbal IQ and verbal comprehension were controlled. In addition, to confirm that the SFON tasks assess SFON tendency independently from enumeration skills, guided focusing tasks were used for children who had failed in SFON tasks. It was explored whether these children were able to proceed in similar tasks to SFON tasks once they were guided to focus on number. The results showed that these children.s poor performance in the SFON tasks was not caused by their deficiency in executing the tasks but on lacking focusing on numerosity. The longitudinal Study IV of 39 children aimed at increasing the knowledge of associations between children.s long-term SFON tendency, subitizing-based enumeration and verbal counting skills. Children were tested twice at the age of 4-5 years on their SFON, and once at the age of 5 on their subitizing-based enumeration, number sequence production, as well as on their skills for counting of objects. Results showed considerable stability in SFON tendency measured at different ages, and that there is a positive direct association between SFON and number sequence production. The association between SFON and object counting skills was significantly mediated by subitizing-based enumeration. These results indicate that the associations between the child.s SFON and sub-skills of verbal counting may differ on the basis of how significant a role understanding the cardinal meanings of number words plays in learning these skills. The specific goal of Study V was to investigate whether it is possible to enhance 3-year old children.s SFON tendency, and thus start children.s deliberate practice in early mathematical skills. Participants were 3-year-old children in Finnish day care. The SFON scores and cardinality-related skills of the experimental group of 17 children were compared to the corresponding results of the 17 children in the control group. The results show an experimental effect on SFON tendency and subsequent development in cardinality-related skills during the 6-month period from pretest to delayed posttest in the children with some initial SFON tendency in the experimental group. Social interaction has an effect on children.s SFON tendency. The results of the five studies assert that within a child.s existing mathematical competence, it is possible to distinguish a separate process, which refers to the child.s tendency to spontaneously focus on numerosity. Moreover, there are significant individual differences in children.s SFON at the age of 3-7 years. Moderate stability was found in this tendency across different tasks assessed both at the same and at different ages. Furthermore, SFON tendency is related to the development of early mathematical skills. Educational implications of the findings emphasise, first, the importance of regarding focusing on numerosity as a separate, essential process in the assessments of young children.s mathematical skills. Second, the substantial individual differences in SFON tendency during the childhood years suggest that uncovering and modeling this kind of mathematically meaningful perceiving of the surroundings and tasks could be an efficient tool for promoting young children.s mathematical development, and thus prevent later failures in learning mathematical skills. It is proposed to consider focusing on numerosity as one potential sub-process of activities involving exact number recognition in future studies.

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The state of the object-oriented programming course in Lappeenranta University of Technology had reached the point, where it required changes to provide better learning opportunities and thus the learning outcomes. Based on the student feedback the course was partially dated and ineffective. The components of the course were analysed and the ineffective elements were removed and new methods were introduced to improve the course. The major changes included the change from traditional teaching methods to reverse classroom method and the use of Java as the programming language. The changes were measured by the student feedback, lecturer’s observations and comparison to previous years. The feedback suggested that the changes were successful; the course received higher overall grade than before.