This thesis is about boosting the company’s competitiveness by improvement of its web pages. The first part theoretically describes all main terms and ideas about internet and web applications which are used in the next chapter. Second part is about introduction of the company and its analysis. After detailed analysis providing results for proposals is the main chapter focused on suggestion of new measures and steps how to improve the company’s position on the market. These main steps and whole benefits are summarized in the last part of this thesis.

The content of the work is the creation e-shop of company Dagen Ltd. on Skutrymoto.cz domain. The subject of sold are the scooters, ATVs, motorcycles and motorcycle accessories. E-shop is developed using open source system Prestashop. The work also deals with issues of current marketing model and its use.

The aim of this thesis is the proposal of booking a table at a restaurant and ordering food delivery system. The work is divided into 5 chapters. It contains 44 images, 8 tables and 1 appendix. The first chapter describes the objective of the work, methods and processing procedures. In the second chapter is devoted to familiarization with the booking and delivery systems that are available in the market. In the third chapter is done SWOT Analysis for the restaurant La Fiamma in Bratislava. In the fourth chapter is designed and developed the system table reservations at this restaurant and designed the ordering system food delivery as well. The next section describes the economic benefits of implementing the described system. The result of this thesis is the function module table reservations as a part of web portal the restaurant La Fiamma.

The dissertation is concerned with automatization proposal of simple injection moulds for plastics. The dissertation is concentrating on the process of CAD design with the aim of make it more effective and automate by the help of 3D parametric strickle board of moulds. It serves for rapid proposal of basic mechanism of the tools. Strickle board of the mould is managed by length of side moulding plate in required range from 300 to the 700mm. For managing of standardized parts was created web portal, which includes database of single parts. These parts can be simply insert to the groups of moulds by the help of hypertext links in software Catia V5. Dissertation includes description of whole system automatization and matching of the new way of CAD design with the original.

Segmentation of WWW pages or page division on di erent semantics blocks is one of the disciplines of information extraction. Master's thesis deals with Vision-based Page Segmentation - VIPS method, which consist in division based on visual properties of page's elements. The method is given in context of other prominent segmentation procedures. In this work, the key steps, that this method consist of are shown and described on examples. For VIPS method it is necessary to cooperate with WWW pages rendering engine in order to obtain Document Object Model of page. The paper presents and describes four most important engines for Java programming language. The output of this work is implementation of VIPS algorithm just in Java language with usage of CSSBox core. The original algorithm implementation from Microsoft's labs is presented. The di erent development stages of library implementing VIPS method and my approach to it's solution are described. In the end of this work the work's outcome is demonstrated on several pages segmentation.

This master's thesis deals with the creation of an extension to the existing information system NLPIS. A part of solution is the creation and maintenance of automatically generated pages for projects in the MediaWiki application. The data will be generated into the MediaWiki from database NLPIS information system and e-mail communications.

This work outlines a possible technique for identifying webpages that contain product  specifications. Using support vector machines a product web page classifier was constructed and tested with various settings. The final result for this classifier ended up being 0.958 in precision and 0.796 in recall for product pages. The scores imply that the method could be considered a valid technique in real world web classification tasks if additional features and more data were made available.

As of December 2007, the number of Internet users in China had increased to 210 million people. The annual growth rate reached 53.3 percent in 2008, with the average number of Internet users increasing every day by 200,000 people. Currently, China's Internet population is slightly lower than the 215 million internet users in the United States. [1] Despite the rapid growth of the Chinese economy in the global Internet market, China’s e-commerce is not following the traditional pattern of commerce, but instead has developed based on user demand. This growth has extended into every area of the Internet. In the west, expert product reviews have been shown to be an important element in a user’s purchase decision. The higher the quality of product reviews that customers received, the more products they buy from on-line shops. As the number of products and options increase, Chinese customers need impersonal, impartial, and detailed products reviews. This thesis focuses on on-line product reviews and how they affect Chinese customer’s purchase decisions. E-commerce is a complex system. As a typical model of e-commerce, we examine a Business to Consumer (B2C) on-line retail site and consider a number of factors; including some seemingly subtitle factors that may influence a customer’s eventually decision to shop on website. Specifically this thesis project will examine aggregated product reviews from different on-line sources by analyzing some existing western companies. Following this the thesis demonstrates how to aggregate product reviews for an e-business website. During this thesis project we found that existing data mining techniques made it straight forward to collect reviews. These reviews were stored in a database and web applications can query this database to provide a user with a set of relevant product reviews. One of the important issues, just as with search engines is providing the relevant product reviews and determining what order they should be presented in. In our work we selected the reviews based upon matching the product (although in some cases there are ambiguities concerning if two products are actually identical or not) and ordering the matching reviews by date - with the most recent reviews present first. Some of the open questions that remain for the future are: (1) improving the matching - to avoid the ambiguity concerning if the reviews are about the same product or not and (2) determining if the availability of product reviews actually affect a Chinese user's decision to purchase a product. / I december 2007 uppgick antalet internetanvändare i Kina har ökat till 210 miljoner människor. Den årliga tillväxttakten nådde 53,3 procent 2008, med den genomsnittliga Antalet Internet-användare ökar för varje dag av 200.000 människor. Närvarande Kinas Internet befolkningen är något lägre än de 215 miljoner Internetanvändare i USA Staterna.[1] Trots den snabba tillväxten i den kinesiska ekonomin i den globala Internetmarknaden, Kinas e-handel inte följer det traditionella mönstret av handel, men i stället har utvecklats baserat på användarnas efterfrågan. Denna tillväxt har utvidgas till alla områden I Internet. I väst har expert recensioner visat sig vara en viktig del I användarens köpbeslut. Ju högre kvalitet på produkten recensioner som kunderna mottagna fler produkter de köper från on-line butiker. Eftersom antalet produkter och alternativen ökar, kinesiska kunderna behöver opersonlig, opartisk och detaljerade produkter recensioner. Denna avhandling fokuserar på on-line recensioner och hur de påverkar Kinesiska kundens köpbeslut.</p> E-handel är ett komplext system. Som en typisk modell för e-handel, vi undersöka ett Business to Consumer (B2C) on-line-försäljning plats och överväga ett antal faktorer; inklusive några till synes subtitle faktorer som kan påverka kundens småningom Beslutet att handla på webbplatsen. Uttryckligen detta examensarbete kommer att undersöka aggregerade recensioner från olika online-källor genom att analysera vissa befintliga västra företag. Efter den här avhandlingen visar hur samlade produkt recensioner för en e-affärer webbplats. Under detta examensarbete fann vi att befintliga data mining tekniker gjort det rakt fram för att samla recensioner. Dessa översyner har lagrats i en databas och webb program kan söka denna databas för att ge en användare med en rad relevanta product recensioner. En av de viktiga frågorna, precis som med sökmotorer är att tillhandahålla relevanta produkt recensioner och bestämma vilken ordning de ska presenteras i. vårt arbete har vi valt recensioner baserat på matchning produkten (men i vissa fall det finns oklarheter i fråga om två produkter verkligen identiska eller inte) och beställa matchande recensioner efter datum - med den senaste recensioner närvarande första. Några av de öppna frågorna som kvarstår för framtiden är: (1) förbättra matchning - För att undvika oklarheter rörande om Gästrecensionerna om samma produkt eller inte och (2) avgöra om det finns recensioner faktiskt påverka en kinesisk användarens val att köpa en produkt.

<div>This thesis deals with three problems in image analysis and processing: determining optimal resolution for scanned document raster content, page orientation, and color table compression. </div><div><br></div><div>Determining optimal resolution for scanned document raster content aims to find an optimal scan resolution for different scan materials. Here the optimal scan resolution means the lowest resolution that keeps all the information of the scan materials. In this way we can save a lot of storage. In this study, the resolutions in question are 300 dpi, 150 dpi, and 75 dpi. We start with 300 dpi since this resolution would keep most scanned pages' information. 75 dpi is usually the smallest scan resolution that a printer has, and 150 dpi is the resolution in between. We developed an algorithm that extracts features and use SVM to find the optimal scan resolution. The features include tile standard deviation (STDDEV) structural similarity index measure mean (tile-STDDEV SSIM), tile STDDEV structural similarity index measure STDDEV (tile-STDDEV SSIM STDDEV), sample power spectrum MSE, and spatial activity, edge density, and edge contrast. These features can reflect the truthfulness between high-resolution images (references) and their low-resolution counterparts and the intrinsic changes from the high resolution to low resolutions. By feeding these feature into support vector machine (SVM) classifier, we can have a prediction accuracy of 93.4\%.</div><div><br></div><div>Determining the scan page orientation can spare people from manually aligning printed pages before using a scanner. In this thesis, we propose an algorithm based on hand-crafted features and SVM. The features include vertical document vector (VDV), horizontal document vector (HDV), zonal density vector (ZDV) and profile document vector (PDV). Concatenating them together, we can have a feature vector for the document page. The feature vectors are then fed into SVM for training and predicting. This algorithm could work on multiple scripts, including Chinese, Devanagari, Japanese, Korean, Numeral, English, French, German, Greek, Italian, Portuguese, Russian, and Spanish. In our algorithm we detect the script first, and then the orientation of the page. We also build a script detection hierarchy based on the structure similarities of different scripts. Experimental results show that the overall script accuracy is \textit{98.2\%}, and the overall orientation accuracy for all scripts is \textit{99.2\%}. </div><div><br></div><div>Color Management plays an important role in color reproduction and transformation of color information among various devices. Device profiles, such as Color look-up tables (LUTs), provide color management systems with the information necessary to convert color data between native device color spaces and device-independent color spaces. LUTs are often embedded in color documents to achieve color fidelity between different devices. The size of color tables will also increase with finer sampling of the spaces and larger bit depths. Thus, a method to compress LUTs is desirable for the purpose of conserving memory and storage, and also reducing network traffic and delay. In this dissertation, we propose a 1D color table lossless compression method based on discrete-time transformation (DCT). The compressed data consists of four files: the rounded quantized DCT coefficients for the color table, the residue table whose values are the difference of the original color tables and the initial reconstructed color tables, the coefficients bit assignment tables (CBAT) and the residue bit assignment tables (RBAT) that we proposed for quantized DCT coefficients and residue table, respectively. With these four files, we can perfectly reconstruct original 1D color tables. Experimental results show that we can achieve a compression ratio of around 3.05.</div>

CPU-memory bottleneck is a widely recognized problem. It is known that majority of high performance computing (HPC) database systems are configured with large memories and dedicated to process specific workloads like weather prediction, molecular dynamic simulations etc. My research on optimal address mapping improves the memory performance by increasing the channel and bank level parallelism. In an another research direction, I proposed and evaluated adaptive page migration techniques that obviates the need for offline analysis of an application to determine page migration strategies. Furthermore, I explored different migration strategies like reverse migration, sub page migration that I found to be beneficial depending on the application behavior. Ideally, page migration strategies redirect the demand memory traffic to faster memory to improve the memory performance. In my third contribution, I worked and evaluated a memory-side accelerator to assist the main computational core in locating the non-zero elements of a sparse matrix that are typically used in scientific, machine learning workloads on a low-power embedded system configuration. Thus my contributions narrow the speed-gap by improving the latency and/or bandwidth between CPU and memory.