Master's Thesis "Improvement Theory 'Brand Engagement in Self-Concept' through Qualitative Research" explains consumer-brand relationship view of new theory, which extends existing knowledge of incorporation brands into the self-concept. The main objective is to determine profiles of low and high BESC consumers by using in-depth interviews. In the theoretical part the explanation of brand identity, self-concept and the connection between them is done. It is followed by description of quantitative studies including the basic knowledge about the theory BESC. Consequently, in the practical part the analysis in-depth interviews, descriptions of low and high BESC consumers and intergroup comparisons are presented. Finally, the general outcome compares results of qualitative and quantitative research, and concurrently suggests managerial implications of using the theory BESC in marketing practice.

Made available in DSpace on 2016-01-26T18:56:34Z (GMT). No. of bitstreams: 1 dissertacao completa.pdf: 364191 bytes, checksum: d74c3583ae69ea3e267b2f257654a08b (MD5) Previous issue date: 2007-12-21 / The growing demand for forest products has led Brazilian reflorestation companies that work out reforestation with Eucalyptus to a search for higher productivity due to their use for cellulose, paper and chancoal. One of the most limiting factors for agricultural production is the water deficit, which inhibits several physiological process in plants. This work was aimed to study the effects of water deficit on the physiology of seedlings of four species Eucalyptus: E. citriodora, E. pellita, E. urograndis e E. grandis, looking for information about plants susceptibility at water deficit in the initial phase their of development with is a critical period for the installation of forest. The seedlings were exposed to three irrigation schemes, based on class A evaporation pan with replacement of 100, 50 and 25% of the water level, which were evaluated by gas exchange, chlorophyll fluorescence and content leaf water potential. It was observed that E. pellita and E.citrodora were more tolerant to level water imposed by the regime of 50% of replacement of the water depth. Meanwhile the regime with 25% effected the species so similar / A crescente demanda de produtos florestais tem levado as empresas brasileiras que realizam reflorestamento com espécies do gênero Eucalyptus a uma busca por maior produtividade devido a sua utilização para celulose, papel e carvão. Um dos principais fatores limitante da produção agrícola é falta de água, que inibe vários processos fisiológicos nas plantas. Este trabalho teve por objetivo estudar os efeitos da deficiência hídrica sobre a fisiologia de plântulas de quatro espécies de Eucalyptus: E. citriodora, E. pellita, E. urograndis e E. grandis, visando obter informações sobre a susceptibilidade das plantas ao déficit hídrico na fase inicial de seu desenvolvimento que é um período crítico para a implantação de povoamentos florestais. As plântulas foram expostas a três regimes de irrigação, baseados na evaporação de um mini-tanque classe A com reposição de 100, 50 e 25 % da lâmina de água, das quais foram avaliadas em relação as trocas gasosas, fluorescência da clorofila a, conteúdo de clorofila e potencial de água foliar. Observou-se que as espécies de E.pellita e E. citriodora foram as mais tolerantes ao défict hídrico imposto pelo regime de 50% de reposição da lâmina de água. Entretanto o regime com 25% afetou as espécies de forma similar

Made available in DSpace on 2016-07-18T17:51:15Z (GMT). No. of bitstreams: 1 dissertacao completa.pdf: 364191 bytes, checksum: d74c3583ae69ea3e267b2f257654a08b (MD5) Previous issue date: 2007-12-21 / The growing demand for forest products has led Brazilian reflorestation companies that work out reforestation with Eucalyptus to a search for higher productivity due to their use for cellulose, paper and chancoal. One of the most limiting factors for agricultural production is the water deficit, which inhibits several physiological process in plants. This work was aimed to study the effects of water deficit on the physiology of seedlings of four species Eucalyptus: E. citriodora, E. pellita, E. urograndis e E. grandis, looking for information about plants susceptibility at water deficit in the initial phase their of development with is a critical period for the installation of forest. The seedlings were exposed to three irrigation schemes, based on class A evaporation pan with replacement of 100, 50 and 25% of the water level, which were evaluated by gas exchange, chlorophyll fluorescence and content leaf water potential. It was observed that E. pellita and E.citrodora were more tolerant to level water imposed by the regime of 50% of replacement of the water depth. Meanwhile the regime with 25% effected the species so similar / A crescente demanda de produtos florestais tem levado as empresas brasileiras que realizam reflorestamento com espécies do gênero Eucalyptus a uma busca por maior produtividade devido a sua utilização para celulose, papel e carvão. Um dos principais fatores limitante da produção agrícola é falta de água, que inibe vários processos fisiológicos nas plantas. Este trabalho teve por objetivo estudar os efeitos da deficiência hídrica sobre a fisiologia de plântulas de quatro espécies de Eucalyptus: E. citriodora, E. pellita, E. urograndis e E. grandis, visando obter informações sobre a susceptibilidade das plantas ao déficit hídrico na fase inicial de seu desenvolvimento que é um período crítico para a implantação de povoamentos florestais. As plântulas foram expostas a três regimes de irrigação, baseados na evaporação de um mini-tanque classe A com reposição de 100, 50 e 25 % da lâmina de água, das quais foram avaliadas em relação as trocas gasosas, fluorescência da clorofila a, conteúdo de clorofila e potencial de água foliar. Observou-se que as espécies de E.pellita e E. citriodora foram as mais tolerantes ao défict hídrico imposto pelo regime de 50% de reposição da lâmina de água. Entretanto o regime com 25% afetou as espécies de forma similar

Předložená diplomová práce se zabývá implementací metody rentgenové emisne indukované částicemi do experimentálního uspořádání za účelem doplnění rodiny metod založených na iontových technikách, tj. Rutherfordovy zpětné rozptylové spektrometrie, spektrometrie elastického zpětného rozptylu a analýzy detekce doby letu/energie elastického odrazu. Výhoda více-metodického přístupu je demonstrována na vrstvách ze slitin přechodných kovů obsahujících lehké prvky, kde samo-konzistentní analýza poskytuje výrazně zlepšené a přesné informace o stechiometrii, hloubkovém rozložení a tloušťce slitiny. Hmotnostní spektrometrie sekundárních iontů je použita pro porovnání a doplnění získaných výsledků.

Diplomová práce si dává za cíl navrhnout a uvést v praxi metodiku snímání oční duhovky ve viditelném spektru. Klade přitom důraz na kvalitu snímků, věrohodné podání barev vůči reálnému podkladu a hlavně na kontinuální hloubku ostrosti, která odhaluje dosud nezkoumané aspekty a detaily duhovky. V poslední řadě se také soustředí na co nejmenší vystavení duhovky fyzickému stresu. Metodika obsahuje přesné postupy jak snímat duhovku a zajištuje tím konzistentnost snímků. Tím umožní vytvářet databáze duhovek s ohledem na jejich vývoj v čase či jiném aspektu jako je například psychologický stav snímané osoby. Na úvod je v práci představena anatomie lidského oka a zejména pak duhovky. Dále pak známé způsoby snímání duhovky. Následuje část, jež se zabývá správným osvětlením duhovky. To je nutné pro požadovanou úroveň kvality snímků zároveň ale vystavuje oko velkému fyzickému stresu. Je tedy nutné najít kompromis mezi těmito aspekty. Důležitý je popis samotné metodiky obsahující podrobný popis snímání. Dále se práce zabývá nutnými postprodukčními úpravami jako je například složení snímků s různou hloubkou ostrosti do jednoho kontinuálního snímku či aplikací filtrů pro odstranění vad na snímcích. Poslední část práce je rozdělena na zhodnocení výsledků a závěr, v němž se rozebírají možné rozšíření či úpravy metodiky tak, aby ji bylo možné použít i mimo laboratorní podmínky.

Diplomová práce si dává za cíl navrhnout a uvést v praxi metodiku snímání oční duhovky ve viditelném spektru. Klade přitom důraz na kvalitu snímků, věrohodné podání barev vůči reálnému podkladu a hlavně na kontinuální hloubku ostrosti, která odhaluje dosud nezk- oumané aspekty a detaily duhovky. V poslední řadě se také soustředí na co nejmenší vys- tavení duhovky fyzickému stresu. Metodika obsahuje přesné postupy jak snímat duhovku a zajištuje tím konzistentnost snímků. Tím umožní vytvářet databáze duhovek s ohledem na jejich vývoj v čase či jiném aspektu jako je například psychologický stav snímané os- oby. Na úvod je v práci představena anatomie lidského oka a zejména pak duhovky. Dále pak známé způsoby snímání duhovky. Následuje část, jež se zabývá správným osvětlením duhovky. To je nutné pro požadovanou úroveň kvality snímků zároveň ale vystavuje oko velkému fyzickému stresu. Je tedy nutné najít kompromis mezi těmito aspekty. Důležitý je popis samotné metodiky obsahující podrobný popis snímání. Dále se práce zabývá nutnými postprodukčními úpravami jako je například složení snímků s různou hloubkou ostrosti do jednoho kontinuálního snímku či aplikací filtrů pro odstranění vad na snímcích. Poslední část práce je rozdělena na zhodnocení výsledků a závěr, v němž se rozebírají možné rozšíření či úpravy metodiky tak, aby ji bylo možné použít i mimo laboratorní podmínky.

We address the problem of estimating a high quality dense depth map from a single RGB input image. We start out with a baseline encoder-decoder convolutional neural network architecture and pose the question of how the global processing of information can help improve overall depth estimation. To this end, we propose a transformer-based architecture block that divides the depth range into bins whose center value is estimated adaptively per image. The final depth values are estimated as linear combinations of the bin centers. We call our new building block AdaBins. Our results show a decisive improvement over the state-of-the-art on several popular depth datasets across all metrics. We also validate the effectiveness of the proposed block with an ablation study.

Realistic modeling of a 3D environment has grown in popularity due to the increasing realm of practical applications. Whether for practical navigation purposes, entertainment value, or architectural standardization, the ability to determine the dimensions of a room is becoming more and more important. One of the trickier, but critical, features within any multistory environment is the staircase. Staircases are difficult to model because of their uneven surface and various depth aspects. Coupling this need is a variety of ways to reach this goal. Unfortunately, many such methods rely upon specialized sensory equipment, multiple calibrated cameras, or other such impractical setups. Here, we propose a simpler approach. This paper outlines a method for extracting the slope dimensions of a staircase using a single monocular image. By relying on only a single image, we negate the need for extraneous accessories and glean as much information from common pictures. We do not hope to achieve the high level of accuracy seen from laser scanning methods but seek to produce a viable result that can both be helpful for current applications and serve as a building block that contributes to later development. When constructing our pipeline, we take into account several options. Each step can be achieved with different techniques which we evaluate and compare on either a qualitative or quantitative level. This leads to our final result which can accurately determine the slope of a staircase with an error rate of 31.1%. With a small amount of previous knowledge or preprocessing, this drops down to an average of 18.7% Overall, we deem this an acceptable and optimal result given the limited information and processing resources which the program was allowed to utilize.

Thesis (M.Sc. (Statistics)) -- University of Limpopo, 2020 / Several studies indicated a growing trend in terms of frequency and severity of extreme events. Extreme rainfall could cause disasters that lead to loss of property and life. The aim of the study was to model the monthly rainfall variability in selected provinces of South Africa using extreme value distributions. This study investigated the best-fit probability distributions in the five provinces of South Africa. Five probability distributions: gamma, Gumbel, log-normal, Pareto and Weibull, were fitted and the best was selected from the five distributions for each province. Parameters of these distributions were estimated by the method of maximum likelihood estimators. Based on the Akaike information criteria (AIC) and Bayesian information criteria (BIC), the Weibull distribution was found to be the best-fit probability distribution for Eastern Cape, KwaZulu-Natal, Limpopo and Mpumalanga, while in Gauteng the best-fit probability distribution was found to be the gamma distribution. Monthly rainfall trends detected using the Mann–Kendall test revealed significant monotonic decreasing long-term trend for Eastern Cape, Gauteng and KwaZulu-Natal, and insignificant monotonic decreasing longterm trends for Limpopo and Mpumalanga. Non-stationary generalised extreme value distribution (GEVD) and non-stationary generalized Pareto distribution (GPD) were applied to model monthly rainfall data. The deviance statistic and likelihood ratio test (LRT) were used to select the most appropriate model. Model fitting supported stationary GEVD model for Eastern Cape, Gauteng and KwaZulu-Natal. On the other hand, model fitting supported non-stationary GEVD models for maximum monthly rainfall with nonlinear quadratic trend in the location parameter and a linear trend in the scale parameter for Limpopo, while in Mpumalanga the non-stationary GEVD model, which has a nonlinear quadratic trend in the scale parameter and no variation in the location parameter fitted well to the maximum monthly rainfall data. Results from the non-stationary GPD models showed that inclusion of the time covariate in our models was not significant for Eastern Cape, hence the bestfit model was the stationary GPD model. Furthermore, the non-stationary GPD model with a linear trend in the scale parameter provided the best-fit for KwaZulu-Natal and Mpumalanga, while in Gauteng and Limpopo the nonstationary GPD model with a nonlinear quadratic trend in the scale parameter fitted well to the monthly rainfall data. Lastly, GPD with time-varying thresholds was applied to model monthly rainfall excesses, where a penalised regression cubic smoothing spline was used as a time-varying threshold and the GPD model was fitted to cluster maxima. The estimate of the shape parameter showed that the Weibull family of distributions is appropriate in modelling the upper tail of the distribution for Limpopo and Mpumalanga, while for Eastern Cape, Gauteng and KwaZulu-Natal, the exponential family of distributions was found to be appropriate in modelling the upper tail of the distribution. The dissertation contributes positively to the body of knowledge in extreme value theory application to rainfall data and makes recommendations to the government agencies on the long-term rainfall variability and their negative impact on the economy.

The diploma thesis deals with creating of electronic schematics in editor using web interface. The editor generates electrical circuit text file according to Spice netlist specification. The program has been created in Java and takes an advantage of object oriented programming language. The editor is a part of a web page and is executable as an applet. The diploma thesis describes a programming language selection, program layout and implementation. Thesis contains programming code examples, window illustration and component drawings. Depth-first search algorithm has been used for nodes number assignment. An OrCAD PSpice reference guide was used for netlist.