The aim of this master paper is to research the image building of the city gymnasias. There were established the main factors which influence the image-building. What is more, there were compared the peculiarities of the formation of image-building in gymnasias and there were researched the criteria which decide the parents’ choice which school to select. The great attention was paid to the creation of successful image-building model of education institutions and there were given recommendations to the headmasters how to develop positive image of an educational institution in the society. This master paper consists of two parts – theoretical and empirical. The theoretical part analyses image building methods of the organization, the main image indications types and meaning. This part also analyses image-building methodologies of foreign and Lithuanian authors and gives a generalized image-building model. There are also formulated the problems of positive image building of educational organizations. A lot of attention is paid to discuss the control and means of image building. In other words, the focus is on the identity with the most important elements such as culture, communication and visual identity. There is given a model of possible positive image building and administration. It is adapted to the typical peculiarities of educational organization activities. The empirical part examines the image-building situation in the gymnasias of Lithuanian cities. To cary out the... [to full text]

This thesis provides a comparative study of machine vision (MV) classification techniques for the detection of missing clips on an automotive part known as a cross car beam. This is a difficult application for an automated MV system because the inspection is conducted in an open manufacturing environment with variable lighting conditions. A laboratory test cell was first used to investigate the effect of lighting. QVision, a software program originally developed at Queen’s University, was used to perform a representative inspection task. Solutions with different light sources and camera settings were investigated in order to determine the best possible set up to acquire an image of the part. Feature selection was applied to improve the results of this classification. The MV system was then installed on an industrial assembly line. QVision was modified to detect the presence or absence of four clips and communicate this information to the computer controlling the manufacturing cell. Features were extracted from the image and then a neuro fuzzy (ANFIS) system was trained to perform the inspection. A performance goal of 0% False Positives and less than 2% False Negatives was achieved with the feature based ANFIS classifier. In addition, the problem of a rusty clip was examined and a radial hole algorithm was used to improve performance in this case. In this case, the system required hours to train. Five new classifiers were then compared to the original feature based ANFIS classifier: 1) feature based with a Neural Network, 2) feature based with principle component analysis (PCA) applied and ANFIS, 3) feature based with PCA applied and a Neural Network, 4) Eigenimage based with ANFIS and 5) Eigenimage based with a Neural Network. The effect of adding a Hough rectangle feature and a principle component colour feature was also studied. It was found that the Neural Network classifier performed better than the ANFIS classifier. When PCA was applied the results improved still further. Overall, feature based classifiers had better performance than Eigenimage based classifiers. Finally, it should be noted that these six classifiers required only minutes to train. / Thesis (Master, Mechanical and Materials Engineering) -- Queen's University, 2009-08-07 17:03:10.422

In this work we address the problem of object recognition and localization from sparse range data. The method is based upon comparing the 7-D error surfaces of objects in various poses, which result from the registration error function between two convolved surfaces. The objects and their pose values are encoded by a small set of feature vectors extracted from the minima of the error surfaces. The problem of object recognition is thus reduced to comparing these feature vectors to find the corresponding error surfaces between the runtime data and a preprocessed database. Specifically, we present a new approach to the problems of pose determination, object recognition and object class recognition. The algorithm has been implemented and tested on both simulated and real data. The experimental results demonstrate the technique to be both effective and efficient, executing at 122 frames per second on standard hardware and with recognition rates exceeding 97% for a database of 60 objects. The performance of the proposed potential well space embedding (PWSE) approach on large size databases was also evaluated on the Princeton Shape Bench- mark containing 1,814 objects. In experiments of object class recognition with the Princeton Shape Benchmark, PWSE is able to provide better classification rates than the previous methods in terms of nearest neighbour classification. In addition, PWSE is shown to (i) operate with very sparse data, e.g., comprising only hundreds of points per image, and (ii) is robust to measurement error and outliers. / Thesis (Ph.D, Electrical & Computer Engineering) -- Queen's University, 2010-01-24 23:07:30.108

Like many other multimedia applications, image compression involves a significant amount of data processing for coding images. Sophisticated general-purpose processors with parallel architectures and advanced cache systems can be dedicated to enhancing performance for serial multimedia applications through parallelization. This thesis describes parallelization of the JasPer reference software for the JPEG-2000 image compression standard and presents results from simulation, and from hardware execution on a multicore processor where speedups of more than 2 are obtained with 4 processors. Results from execution and cache behavior analysis are presented to establish the expected speedup and to further characterize JasPer execution. The JasPer encoding process has been analyzed on a single processor for both simulated and hardware execution in order to obtain more insights into application behavior. On recent hardware platforms, the significant contributors to the total execution time have been identified through profiling. The granularity of parallelism for parallelizable loops have been analyzed for execution on real hardware. Cache behavior and memory access pattern have been studied closely for the simulated execution. To facilitate parallelization, selected parallelizable loops have been transformed in order to assist the partitioning of loop iterations for parallel execution and to increase workload granularity and reduce synchronization overhead. These modifications include loop index and body transformation, and loop fusion. A memory access pattern tracking feature has also been introduced for serial and parallel execution of a program in simulation. This feature tracks the number of memory accesses in a particular data region during a particular interval of time in order to gain additional insights into execution behavior. The multithreaded execution of the parallelized JasPer encoder presents a relatively balanced workload which indicates a reasonable efficiency for parallel execution. The generated images have been compared against their original images by using analytical tools to ensure the image quality and to verify correctness. / Thesis (Master, Electrical & Computer Engineering) -- Queen's University, 2011-10-29 00:10:43.437

No description available.

Arbetet har för avsikt att utreda möjligheter och hinder som finns vad gäller profilering i Kalmar stad, samt vilka faktorer som påverkar och vad det kan ha för konsekvenser. Undersökning och kartläggning av profilering har gjorts för att avgöra hur Kalmar arbetar aktivt med stadens image, evenemang och varumärke. Huvudfokus i arbetet kretsar kring nyckelord som profilering, destinationsutveckling, image och evenemang som alla binds samman för att utmynna i arbetets syfte.Arbetet grundas i en deduktiv ansats med en kvalitativ studie i form av semistrukturerade intervjuer. Appliceringen av tidigare forskning på lokal nivå med Kalmar som huvudfokus har genom betydande respondenter inom ämnet möjliggjort prövningen mot tidigare forskning för att uppnå ett resultat som ligger linje med arbetets syfte.

Syftet med denna uppsats är att undersöka vilken typ av marknadsföring som Treehotel använder sig av, samt studera skillnader och likheter mellan Treehotels identitet och imagen som förmedlas i massmedier och sociala medier. Slutsatsen i denna undersökning visar att Treehotel använder marknadsföringsmetoderna storytelling och viral marknadsföring samt använder direkta marknadsföringskanaler och drar nytta av indirekta marknadsföringskanaler. Resultatet från innehållsanalysen visar att det finns stora likheter men även vissa skillnader mellan Treehotels identitet och den image som förmedlas i massmedia och sociala medier. 91 procent av artiklarna, TV- reportagen och inläggen har minst en del av Treehotels identitet. / The purpose of this paper is to investigate the types of marketing Treehotel is using, and to study the differences and similarities between Treehotels identity and image conveyed in mass media and digital social networks. This study shows that Treehotel use the marketing methods storytelling and viral marketing and use direct marketing channels and benefit from indirect marketing channels. The results of the content analysis show that there are similarities but even some differences between Treehotels identity and the image conveyed in the mass media and digital social networks. 91 % of the articles, TV-spots and posts have at least one part of Treehotels identity.

The purpose of this study was to investigate the effects of neighborhood and family influences on body image and dietary attitudes in a cohort of 10-and 11-year old children across the BMI spectrum. In this cross-sectional study, age-appropriate figure drawings, Dietary Restraint and Body Esteem Scales were administered to 554 boys and girls. Information on parent and neighborhood influences were gathered from participants’ parents and tested for association with child variables through multiple linear regression. This study indicates that parent modeling variables have an association with child body esteem and dietary restraint when BMI is controlled. Socioeconomic status was found to play a role, with high socioeconomic neighborhoods resulting in higher body esteem and dietary restraint. Geographic location had no influence over child variables. Overall, important influences were found between parent and socioeconomic status variables and body esteem and restraint.

No description available.

No description available.