The goal of this diploma thesis is the design and implementation of an application for generating and printing address labels in the SAP system. The work also explains the basic concepts of the SAP system and describes the technologies for creating print forms as SAP Adobe Form and SAP SmartForm. Lastly, it describes the solution of printing 1D and 2D barcodes and setting up the communication between the SAP system and the printer. The result of this work is an analysis of form creation, subsequent design of a solution for generating forms as address label, sheet of 21 address labels, Czech Post delivery notes, Czech Post delivery sheet and its implementation in the SAP system. The conclusion of the work is testing the created solution and proposing future improvements.

This master's thesis deals with the analysis of simulation of computer networks. A statistical tool was designed for evaluating a communication between stations in the computer network. JSimlib4 Java library was used for the simulation of computer networks. It is a lightweight but robust simulation library, designed for creating simple or even quite complex simulation models of distributed systems. The Statistical tool was written in Java programming language and developed in an EasyEclipse integrated development environment. It was designed as an Eclipse Rich Client Platform application. Eclipse Rich Client Platform is a relatively new technology, which has a lot of favorable properties. The Statistical tool can be divided into 3 parts: • creating a log file, • creating a filter, • creating/showing an output. The Statistical tool creates records into a log file during every communication between stations. This log file contains a comment on the first line. This comment describes the definition of records. Every record contains 2 IP addresses with the used ports at the beginning of the record, then the time, the amount of bytes, the protocol and the direction of communication. Every item in the record is divided by a colon. The Statistical tool can evaluate a communication between stations. At first, it has to define a filter according to which it will assess the suitable stations. It can be created either by adding IP addresses or names of the stations onto a list on a workbench. Filter can be loaded from a file that already includes these IP addresses and other information too. After defining the filter, the Statistical tool can create either a diagram or a file. At first, the Statistical tool reads the log file line by line and compares the IP addresses, which were added to the filter with the IP addresses in a log file. When the Statistical tool finds a complying IP address, it reads the whole line and adds an amount of bytes defined on that line to the final diagram that is shown after reading the whole log file. In the case of finding 2 or more complying IP addresses that sent the data at the same time, an amount of these transfers is calculated by adding them and this amount is then shown in a diagram. After reading the whole log file a diagram or a file is shown at the bottom of the window. The diagram is created by a Java library JFreechart and it shows the amount of transferred bytes. The x-axis represents the time and the y-axis represents the amount of transferred bytes. The created file is for next work with the calculated data and it can be loaded for example by Matlab or Octave. The first line in the file represents the time for axis x and the second one represents the amount of transferred bytes for axis y. These lines are followed by a command "plot(x,y)" for drawing a diagram.

This thesis focuses on automated trading systems for financial markets trading. It describes theoretical background of financial markets, different technical analysis approaches and theoretical knowledge about automated trading systems. The output of the present paper is a diversified portfolio comprising four different investment models aimed to trading futures contracts of cocoa and gold. The portfolio tested on market data from the first quarter 2013 achieved 46.74% increase on the initial equity. The systems have been designed in Adaptrade Builder software using genetic algorithms and subsequently tested in the MetaTrader trading platform. They have been finally optimized using sensitivity analysis.

This thesis focuses on automated trading systems for foreign exchange markets. It describes theoretical background of financial markets, technical analysis approaches and theoretical knowledge about automated trading systems. The output of the thesis is set of two automated trading systems built for trading the most liquid currency pairs. The process of developing automated trading system as well as its practical start up in Spartacus Company Ltd. is documented in the form of project documentation. The project documentation captures choosing necessary hardware components, their installation and oricess of ensuring smooth operation, as well as the selection and installation of the necessary software resources. In the Adaptrade Builder enviroment there has been shown the process of developing strategies and consequently theirs characteristics, performance, as well as a graph showing the evolution of the account at the time. Selected portfolio strategy has been tested in the MetaTrader platform and in the end of the thesis is offered assessing achievements and draw an overall conclusion.

No description available.

Teknologiträd är en mekanik och gränssnitt som används främst inom strategispel. Den visar den teknologiska utvecklingen i spelvärlden och låter spelaren göra strategiska val om i vilken ordning de vill utveckla olika teknologier. Denna studie handlar om olika strukturer på teknologiträd och hur de påverkar spelupplevelsen. Till studien skapades en artefakt, ett City Builder-spel med två olika teknologiträd, ett med en traditionell struktur och ett som är delvis slumpat. Studien använde en kvalitativansats och hade 7 deltagare som fick spela igenom spelet, en gång med vardera teknologiträd. Deltagarna deltog sedan i en semi-strukturerad intervju om sina upplevelser. Ljudet från intervjuerna spelades in, transkriberades och datan från dem analyserades. Studien kom fram till att strukturen av teknologiträd påverkar spelupplevelsen, främst av allt genom att öka om spelbarheten. Det kan dock bero på storleken av spelet och dess teknologiträd, och framtida studier borde göras, framför allt på större spel. / <p>Det finns övrigt digitalt material (t.ex. film-, bild- eller ljudfiler) eller modeller/artefakter tillhörande examensarbetet som ska skickas till arkivet.</p>

The amount of active websites on the internet is claimed to have increased by almost half a billion in the last decade. With that, the amount of tools available to help develop them has increased as well. One type of these tools is called website builders. In the past few years, the market has seen a big increase in software often referred to as no-code tools. By visualizing most, if not all, of the otherwise manual coding process, they aim to give users an increased amount of flexibility without having to possess a lot of previous web development knowledge. However, despite their current popularity, no-code tools do not seem to be the target of much research. This study aims to measure the performance of Webflow, a browser based software that fits both the category of a website builder as well as a no-code tool. This is done by comparing its performance to Wordpress, arguably the most established website builder on the market. The performance analysis is conducted through automated performance audits using Google Lighthouse and its 6 performance metrics. By developing an identical website using both builders, two versions of the website have been analyzed; one static snapshot deployed on the same hosting environment and one dynamic version deployed using Webflows’ internal cloud hosting environment, and Wordpress deployed on an AWS EC2 instance. The results showed that while Wordpress outperformed Webflow in a majority of individual performance metrics in both experiments, Webflow performed better overall on the desktop breakpoint on both the static and dynamic version of the websites.

No description available.

This study analyzes the market share of the top 10 home builders in nine Metropolitan Statistical Areas, along with fourteen other independent variables, to find a statistical relationship with median home sales price. Through a stepwise regression of the independent variables it is determined that there is no correlation between median home sale price and market share of the top 10 home builders. In the stepwise regression two variables are found to be correlated to median homes sales price: Owner Occupancy Percentage and Residential Construction Wages, a data point compiled for this study. A linear regression is run between market share of the top 10 and median home sale price and no correlation is found. / Master of Science / This study observes changes in median home sale price and changes in the market concentration of the top 10 home builders. Data from nine cities was analyzed. Using linear regression with the two previously mentioned variables along with fourteen other variables the study finds no relationship between the two variables. Among the variables the two that had the highest statistical relationship are Owner Occupancy Percentage and Residential Construction Wages. This study is relevant to the on-going discussion about concentration in the housing market.

Myndigheten Sveriges Geologiska Undersökning (SGU) har ett nationellt ansvar för att övervaka Sveriges grundvattennivåer. Eftersom det inte är möjligt att få ett heltäckande mätstationssystem måste grundvattennivån beräknas på vissa platser. Därför är det intressant att undersöka sambandet mellan grundvattennivån och utvald geografisk information, så kallade miljövariabler. På sikt kan maskininlärning komma att användas inom SGU för att beräkna grundvattennivån och då kan en förstudie vara till stor hjälp. Examensarbetets syfte är att genomföra en sådan förstudie genom att undersöka vilka miljövariabler som har störst betydelse för grundvattennivån och kartlägga modellosäkerheter vid grundvattenprediktering. Förstudien genomförs på sju områden inom SGUs grundvattennät där mätstationerna finns i grupper likt kluster. I förstudien används övervakad maskininlärning som i detta examensarbete innebär att medianvärden på grundvattennivån och miljövariablerna används för att träna modellerna. Med hjälp av statistisk data från modellerna kan prestandan utvärderas och justeringar göras. Algoritmen som används heter Random Forest som skapar ett klassifikations- och regressionsträd, vilket lär modellen att utifrån given indata fatta beslut som liknar männiksans beslutfattande. Modellerna ställs upp i ArcGIS Pros verktyg Forest-based Classification and Regression. På grund av områdenas geografiska spridning sätts flera separata modeller upp. Resultatet visar att det är möjligt att prediktera grundvattennivån men betydelsen av de olika miljövariablerna varierar mellan de sju undersökta områdena. Orsaken till detta lär vara geografiska skillnader. Oftast har den absoluta höjden och markens lutningsriktning mycket stor betydelse. Höjd- och avståndsskillnad till låg och hög genomsläpplig jord har större betydelse än vad höjd- och avståndsskillnad har till medelhög genomsläpplig jord. Höjd- och avståndsskillnad har större betydelse till större vattendrag än till mindre vattendrag. Modellernas r2-värde är något låga men inom rimliga gränser för att vara hydrologiska modeller. Standardfelen är oftast inom rimliga gränser. Osäkerheten har visats genom ett     90 %-igt konfidensintervall. Osäkerheterna ökar med ökat avstånd till mätstationerna och är som högst vid hög altitud. Orsaken lär vara för få ingående observationer och för få observationer på hög höjd. Nära mätstationer, bebyggelse och i dalgångar är osäkerheterna i de flesta fallen inom rimliga gränser. / The Swedish authority Geological Survey of Sweden (SGU) has a national responsibility to oversee the groundwater levels. A national network of measurement stations has been established to facilitate this. The density of measurement stations varies considerably. Since it will never be feasible to cover the entire country with measurement stations, the groundwater levels need to be computed in areas that are not in the near vicinity of a measurement station. For that reason, it is of interest to investigate the correlation between the groundwater levels and selected geographical information, so called environmental variables. In the future, SGU may use machine learning to compute the groundwater levels. The focus of this master's thesis is to study the importance of the environmental variables and model uncertainties in order to determine if this is a feasible option for implementation on a national basis. The study uses data from seven areas of the Groundwater network of SGU, where the measuring stations are in clusters. The pilot study uses a supervised machine learning method which in this case means that the median groundwater levels and the environmental variables train the models. By evaluating the model's statistical data output the performance can gradually be improved. The algorithm used is called “Random Forest” and uses a classification and regression tree to learn how to make decisions throughout a network of nodes, branches and leaves due to the input data. The models are set up by the prediction tool “Forest-based Classification and Regression” in ArcGIS Pro. Because the areas are geographically spread out, eight unique models are set up. The results show that it’s possible to predict groundwater levels by using this method but that the importance of the environmental variables varies between the different areas used in this study. The cause of this may be due to geographical and topographical differences. Most often, the absolute level over mean sea level and slope direction are the most important variables. Planar and height distance differences to low and high permeable soils have medium high importance while the distance differences to medium high permeable soils have lower importance. Planar and height distance differences are more important to lakes and large watercourses than to small watercourses and ditches.  The model’s r2-values are slightly low in theory but within reasonable limits to be a hydrological model. The Standard Errors Estimate (SSE) are also in most cases within reasonable limits. The uncertainty is displayed by a 90 % confidence interval. The uncertainties increase with increased distance to measuring stations and become greatest at high altitude. The cause of this may be due to having too few observations, especially in areas with high altitude. The uncertainties are smaller close to the stations and in valleys. / SGUs grundvattennät