Optimització de la tècnica del miralls màgics a partir de mesures de teoria de la informació

La visualització científica estudia i defineix algorismes i estructures de dades que permeten fer comprensibles conjunts de dades a través d’imatges. En el cas de les aplicacions mèdiques les dades que cal interpretar provenen de diferents dispositius de captació i es representen en un model de vòxels. La utilitat d’aquest model de vòxels depèn de poder-lo veure des del punt de vista ideal, és a dir el que aporti més informació. D’altra banda, existeix la tècnica dels Miralls Màgics que permet veure el model de vòxels des de diferents punts de vista alhora i mostrant diferents valors de propietat a cada mirall. En aquest projecte implementarem un algorisme que permetrà determinar el punt de vista ideal per visualitzar un model de vòxels així com també els punts de vista ideals per als miralls per tal d’aconseguir el màxim d’informació possible del model de vòxels. Aquest algorisme es basa en la teoria de la informació per saber quina és la millor visualització. L’algorisme també permetrà determinar l’assignació de colors òptima per al model de vòxels

Oliopohjainen konenäkösovelluskehys

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.

Bag-of-Features Approach to Unsupervised Visual Object Categorisation

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.

Miten Pohjois-Kymen OP-Kiinteistökeskuksen tulisi toimia Kouvolan seudun Osuuspankin vision ja strategian mukaan

Osuuspankkiryhmä on valinnut markkinointistrategiakseen asiakassuuntautuneen palvelutavan. Pankin puolella uskotaan, että näin toimimalla on mahdollista saavuttaa pitkäaikainen asiakkuus ja sitä kautta saada kilpailuetua muihin pankkeihin nähden. Koska pankkimaailma, myös Osusspankkiryhmä, on etsinyt yhteistyökumppaneita esimerkiksi vakuutusyhtiöistä, tässä tutkimustyössä on käsitelty myös suhdemarkkinointia, joka on asiakassuhdemarkkinointia laajempi käsite. Valtakunnallisessa OP-Kiinteistövälitys -ketjussakin on valittu sama strategia kuin pankin puolella. Lisäksi alueet voivat tehdä oman strategian valtakunnallisen pohjalta. pohjois-Kymen OP-Kiinteistökeskus Oy on paikallisen pankin, Kouvolan Seudun Osuuspankin, omistama yritys, joten voidaan väittää, että kiinteistövälityksen varsinainen tehtävä on tukea konsernin liiketoiminnan ydintä, pankkitoimintaa. Tutkielmani tarkoitus on pohtia, miten Pohjois-Kymen OP-Kiinteistökeskuksen tulisi toimia pankin vision ja strategian mukaan, huomioituna se, että kiinteistövälitys on asiantuntija organisaatio ja sillä on oma valtakunnallinen strategia.

Training executive functions in the laboratory and in real life : cognitive consequences of computer-based exercises and bilingualism

The question of the trainability of executive functions and the impact of such training on related cognitive skills has stirred considerable research interest. Despite a number of studies investigating this, the question has not yet been solved. The general aim of this thesis was to investigate two very different types of training of executive functions: laboratory-based computerized training (Studies I-III) and realworld training through bilingualism (Studies IV-V). Bilingualism as a kind of training of executive functions is based on the idea that managing two languages requires executive resources, and previous studies have suggested a bilingual advantage in executive functions. Three executive functions were studied in the present thesis: updating of working memory (WM) contents, inhibition of irrelevant information, and shifting between tasks and mental sets. Studies I-III investigated the effects of computer-based training of WM updating (Study I), inhibition (Study II), and set shifting (Study III) in healthy young adults. All studies showed increased performance on the trained task. More importantly, improvement on an untrained task tapping the trained executive function (near transfer) was seen in Study I and II. None of the three studies showed improvement on untrained tasks tapping some other cognitive function (far transfer) as a result of training. Study I also used PET to investigate the effects of WM updating training on a neurotransmitter closely linked to WM, namely dopamine. The PET results revealed increased striatal dopamine release during WM updating performance as a result of training. Study IV investigated the ability to inhibit task-irrelevant stimuli in bilinguals and monolinguals by using a dichotic listening task. The results showed that the bilinguals exceeded the monolinguals in inhibiting task-irrelevant information. Study V introduced a new, complementary research approach to study the bilingual executive advantage and its underlying mechanisms. To circumvent the methodological problems related to natural groups design, this approach focuses only on bilinguals and examines whether individual differences in bilingual behavior correlate with executive task performances. Using measures that tap the three above-entioned executive functions, the results suggested that more frequent language switching was associated with better set shifting skills, and earlier acquisition of the second language was related to better inhibition skills. In conclusion, the present behavioral results showed that computer-based training of executive functions can improve performance on the trained task and on closely related tasks, but does not yield a more general improvement of cognitive skills. Moreover, the functional neuroimaging results reveal that WM training modulates striatal dopaminergic function, speaking for training-induced neural plasticity in this important neurotransmitter system. With regard to bilingualism, the results provide further support to the idea that bilingualism can enhance executive functions. In addition, the new complementary research approach proposed here provides some clues as to which aspects of everyday bilingual behavior may be related to the advantage in executive functions in bilingual individuals.

Hand tracking in high-speed camera videos

Visual object tracking has been one of the most popular research topics in the field of computer vision recently. Specifically, hand tracking has attracted significant attention since it would enable many useful practical applications. However, hand tracking is still a very challenging problem which cannot be considered solved. The fact that almost every aspect of hand appearance can change is the fundamental reason for this difficulty. This thesis focused on 2D-based hand tracking in high-speed camera videos. During the project, a toolbox for this purpose was collected which contains nine different tracking methods. In the experiments, these methods were tested and compared against each other with both high-speed videos recorded during the project and publicly available normal speed videos. The results revealed that tracking accuracies varied considerably depending on the video and the method. Therefore, no single method was clearly the best in all videos, but three methods, CT, HT, and TLD, performed better than the others overall. Moreover, the results provide insights about the suitability of each method to different types and situations of hand tracking.

Automatic traffic sign inventory- and condition analysis

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.

Post-processing and analysis of tracked hand trajectories

In this thesis, the suitability of different trackers for finger tracking in high-speed videos was studied. Tracked finger trajectories from the videos were post-processed and analysed using various filtering and smoothing methods. Position derivatives of the trajectories, speed and acceleration were extracted for the purposes of hand motion analysis. Overall, two methods, Kernelized Correlation Filters and Spatio-Temporal Context Learning tracking, performed better than the others in the tests. Both achieved high accuracy for the selected high-speed videos and also allowed real-time processing, being able to process over 500 frames per second. In addition, the results showed that different filtering methods can be applied to produce more appropriate velocity and acceleration curves calculated from the tracking data. Local Regression filtering and Unscented Kalman Smoother gave the best results in the tests. Furthermore, the results show that tracking and filtering methods are suitable for high-speed hand-tracking and trajectory-data post-processing.

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.

Effects of exercise training on atrophy gene expression in skeletal muscle of mice with chronic allergic lung inflammation

We evaluated the effects of chronic allergic airway inflammation and of treadmill training (12 weeks) of low and moderate intensity on muscle fiber cross-sectional area and mRNA levels of atrogin-1 and MuRF1 in the mouse tibialis anterior muscle. Six 4-month-old male BALB/c mice (28.5 ± 0.8 g) per group were examined: 1) control, non-sensitized and non-trained (C); 2) ovalbumin sensitized (OA, 20 µg per mouse); 3) non-sensitized and trained at 50% maximum speed _ low intensity (PT50%); 4) non-sensitized and trained at 75% maximum speed _ moderate intensity (PT75%); 5) OA-sensitized and trained at 50% (OA+PT50%), 6) OA-sensitized and trained at 75% (OA+PT75%). There was no difference in muscle fiber cross-sectional area among groups and no difference in atrogin-1 and MuRF1 expression between C and OA groups. All exercised groups showed significantly decreased expression of atrogin-1 compared to C (1.01 ± 0.2-fold): PT50% = 0.71 ± 0.12-fold; OA+PT50% = 0.74 ± 0.03-fold; PT75% = 0.71 ± 0.09-fold; OA+PT75% = 0.74 ± 0.09-fold. Similarly significant results were obtained regarding MuRF1 gene expression compared to C (1.01 ± 0.23-fold): PT50% = 0.53 ± 0.20-fold; OA+PT50% = 0.55 ± 0.11-fold; PT75% = 0.35 ± 0.15-fold; OA+PT75% = 0.37 ± 0.08-fold. A short period of OA did not induce skeletal muscle atrophy in the mouse tibialis anterior muscle and aerobic training at low and moderate intensity negatively regulates the atrophy pathway in skeletal muscle of healthy mice or mice with allergic lung inflammation.

DNA methylation regulates expression of VEGF-C, and S-adenosylmethionine is effective for VEGF-C methylation and for inhibiting cancer growth

DNA hypomethylation may activate oncogene transcription, thus promoting carcinogenesis and tumor development. S-adenosylmethionine (SAM) is a methyl donor in numerous methylation reactions and acts as an inhibitor of intracellular demethylase activity, which results in hypermethylation of DNA. The main objectives of this study were to determine whether DNA hypomethylation correlated with vascular endothelial growth factor-C (VEGF-C) expression, and the effect of SAM on VEGF-C methylation and gastric cancer growth inhibition. VEGF-C expression was assayed by Western blotting and RT-qPCR in gastric cancer cells, and by immunohistochemistry in tumor xenografts. VEGF-C methylation was assayed by bisulfite DNA sequencing. The effect of SAM on cell apoptosis was assayed by flow cytometry analyses and its effect on cancer growth was assessed in nude mice. The VEGF-C promoters of MGC-803, BGC-823, and SGC-7901 gastric cancer cells, which normally express VEGF-C, were nearly unmethylated. After SAM treatment, the VEGF-C promoters in these cells were highly methylated and VEGF-C expression was downregulated. SAM also significantly inhibited tumor growthin vitro and in vivo. DNA methylation regulates expression of VEGF-C. SAM can effectively induce VEGF-C methylation, reduce the expression of VEGF-C, and inhibit tumor growth. SAM has potential as a drug therapy to silence oncogenes and block the progression of gastric cancer.

Measuring Effectiveness of Marketing Message: The Role of Verbal, Visual and Brand Elements

The aim of this paper is to study the role of verbal, visual and brand elements while meas-uring effectiveness of marketing message. The thesis is written in the context of mobile gaming industry. The object of the study is marketing message. To achieve the aim, the main research question was formulated: How do the elements of marketing message, such as verbal, visual and brand, affect the consumer’s attitude toward the ad, emotional response and attention capture? The theory development chapter lays on three corner stones – analysis of previous litera-ture on marketing message and its elements, namely verbal, visual and brand; overview of literature on attitude formation and particularly attitude toward the ad. In addition, investiga-tion of key points of emotional response and attention capture literature finalizes the chap-ter. The empirical part consists of experiment, conducted with 27 participants. Experiment includes the self-report semantically anchored scale, measuring the attitude toward the ad, as well as autonomic measures – eye tracking (attention capture) and facial expressions (emotional response). The results of the experiment showed that the size of the brand element – the logo – has an effect on the attention capture and the overall attitude toward the ad. The bigger the logo, the more time people spend viewing it, and they realise the message is more educa-tional and factual. The measure related to the visual element – the visual complexity – in-creases the intensity of participant’s facial expression. While the measure of verbal ele-ment – the contrast between text and background colours – leads to a better attitude to-ward the ad. The higher the contrast between text and background, the more known the message appears to the viewer.

Generative Part-Based Gabor Object Detector

Object detection is a fundamental task of computer vision that is utilized as a core part in a number of industrial and scientific applications, for example, in robotics, where objects need to be correctly detected and localized prior to being grasped and manipulated. Existing object detectors vary in (i) the amount of supervision they need for training, (ii) the type of a learning method adopted (generative or discriminative) and (iii) the amount of spatial information used in the object model (model-free, using no spatial information in the object model, or model-based, with the explicit spatial model of an object). Although some existing methods report good performance in the detection of certain objects, the results tend to be application specific and no universal method has been found that clearly outperforms all others in all areas. This work proposes a novel generative part-based object detector. The generative learning procedure of the developed method allows learning from positive examples only. The detector is based on finding semantically meaningful parts of the object (i.e. a part detector) that can provide additional information to object location, for example, pose. The object class model, i.e. the appearance of the object parts and their spatial variance, constellation, is explicitly modelled in a fully probabilistic manner. The appearance is based on bio-inspired complex-valued Gabor features that are transformed to part probabilities by an unsupervised Gaussian Mixture Model (GMM). The proposed novel randomized GMM enables learning from only a few training examples. The probabilistic spatial model of the part configurations is constructed with a mixture of 2D Gaussians. The appearance of the parts of the object is learned in an object canonical space that removes geometric variations from the part appearance model. Robustness to pose variations is achieved by object pose quantization, which is more efficient than previously used scale and orientation shifts in the Gabor feature space. Performance of the resulting generative object detector is characterized by high recall with low precision, i.e. the generative detector produces large number of false positive detections. Thus a discriminative classifier is used to prune false positive candidate detections produced by the generative detector improving its precision while keeping high recall. Using only a small number of positive examples, the developed object detector performs comparably to state-of-the-art discriminative methods.

Työnantajabrandin vision suhde todellisuuteen

Kilpailu osaavasta työvoimasta on saanut yritykset panostamaan työnantajabrandiinsa. Työnantajabrandi yhtenä yrityksen brandipääoman osa-alueena auttaa yrityksiä erottumaan kilpailijoista ja siten houkuttelemaan yritykseen sopivia työntekijöitä sekä säilyttämään jo olemassa olevat työntekijät. Työnantajabrandi ei aina näyttäydy yrityksen työntekijöille tai –hakijoille niin kuin yritys sen haluaisi näyttäytyvän. Henkilöstöhallinnon ja johdon visio saattaa siis olla ristiriidassa sen kanssa, miten brandi todellisuudessa koetaan. Mikäli yritys ei pysty viestittämään oikeanlaista brandi-imagoa tai säilyttämään brandilupauksiaan vaikuttaa tämä yrityksen työntekijöiden sitoutumiseen ja tyytyväisyyteen negatiivisesti. Lisäksi yritykseen hakeutuu töihin yrityksen arvomaailmaan sopimattomia työntekijöitä. Tutkimuksen tarkoituksena on selvittää työnantajabrandin vision suhdetta todellisuuteen case-yrityksen kautta. Case-yritykseksi on valittu kansainvälinen konsultointiyritys, jolle osaava työvoima on elinehto. Tutkimusmenetelmäksi valittiin puolistrukturoidut haastattelut eli aihetta on lähestytty laadullisen menetelmän kautta. Tutkimukseen haastateltiin vision selvittämiseksi case-yrityksen henkilöstöhallintoa sekä perehdyttiin olemassa olevaan materiaaliin yrityksen brandista. Vision toteutumisen selvittämiseksi haastateltiin 19 työntekijää yrityksen kahdesta eri liiketoimintayksiköstä. Teorian pohjalta tarkentunut teoreettinen viitekehys pitää sisällään yrityksen psykologisen sopimuksen, sisäisen ja ulkoisen brandiviestinnän sekä organisaatiokulttuurin. Haastattelut rakennettiin näiden teemojen ympärille. Empiirisen osuuden tulokset vahvistavat teoreettista viitekehystä, jonka mukaan psykologisella sopimuksella, brandiviestinnällä ja organisaatiokulttuurilla on vaikutusta siihen, miten työnantajabrandi koetaan yrityksen työntekijöiden keskuudessa. Organisaatiokulttuurin ja sitä ilmentävän brandipersoonallisuuden osalta korostuu yrityksen työntekijöiden sopivuus ja yhtäläisyys yrityksen organisaatiokulttuuriin voimistamaan haluttua brandimielikuvaa. Psykologisen sopimuksen osalta empiria tukee todenmukaisen kuvan luomisen merkitystä yrityksen brandiviestinnässä. Lisäksi psykologisen sopimuksen osalta sosiaaliset edut nähdään tärkeänä tekijänä työnantajassa. Ihmisistä välittämisellä ja työilmapiirillä voidaan nähdä olevan suuri merkitys työntekijöiden työssä viihtymiselle. Työntekijät myös odottavat nykypäivänä nopeaa urakehitystä ja koulutukseen panostamista uraltaan. Lisäksi joustavuus ja vapaa-ajan ja työn tasapainottaminen koetaan tärkeiksi. Haastattelut tukevat myös teoreettisen viitekehyksen oletusta, että yrityksen visio työnantajabrandista eroaa usein siitä kuvasta, joka työntekijöille välittyy

A framework for understanding the factors that influence spectators' recall and recognition of embedded sponsorship stimuli

Now, more than ever, sponsors of athletic events demand to see evidence of a commercial return, such as enhanced brand awareness, for their investment of cash or non-cash resources (Lough et aI., 2000). The most common way to measure the impact of perimeter signage (Le., any billboard or sign that displays a company's brand name and/or logo and which surrounds the playing area) on spectators' awareness of event sponsors has been through the use of brand name recall and recognition tests (Shilbury & Berriman, 1996). Recall testing requires spectators to list all of the sponsors they can remember seeing at, for example, an athletic event, strictly from memory and without any help (Cuneen & Hannan, 1993). With recognition testing, spectators are required to identify sponsors from a prepared list which include "dummy" brand names (i.e., sponsors that are present in the list but which do not actually sponsor the event). In order to determine whether sponsors' brand awareness objectives are being met, it is important for sport and recreation marketers to understand what influences a spectator's ability to remember (Le., recall and/or recognize) the brand names of companies who advertise on perimeter signage. The purpose this study was to examine the factors that influence spectators' recall and recognition of embedded sponsorship stimuli (i.e., company brand names on perimeter signage surrounding the play area) at a Canadian University's men's basketball game and football game. These factors included the number of games spectators attended over the course of the season (i.e., repeated exposure to sponsorship stimuli), spectators' level of involvement with the event, and spectators' level of involvement with the advertisements (i.e., perimeter signage). This study also examined the differences between recall and recognition as a means of measuring spectators' awareness of sponsors, and attempted to determine if there are sport differences in spectators' recall and recognition of perimeter signage. Upon leaving the football stadium or gymnasium, spectators were approached, at random, by trained research assistants located at each exit and asked to complete a brief survey questionnaire. Respondents completed the survey on-site. A total of 358 completed surveys were collected from spectators who attended the football (N = 277) and basketball (N = 81) games. The data suggest that football and basketball respondents recognized more sponsors' brand names than they recalled. In addition, football respondents who were highly involved with the event (i.e., those individuals who viewed attending the events as fun, interesting and exciting) attended more games over the course of the season and had significantly higher brand name recognition of sponsors who advertised on perimeter signage than those individuals with low involvement with the athletic event. Football respondents who were highly involved with the sponsors' advertisements (i.e., those individuals who viewed sponsors' perimeter signage as appealing, valuable and important) had significantly higher brand name recall of event sponsors than those individuals with low involvement with these sponsors' advertisements. Repeated exposure to perimeter signage did not have a significant influence on football or basketball respondents' recall or recognition of sponsors. Finally, the data revealed that football respondents had significantly higher recall of sponsors' brand names than basketball respondents. Conversely, basketball respondents had significantly higher recognition of sponsors' brand names than did football respondents.