Thesis (M. Sc.)--University of Alberta, 2009. / Title from PDF file main screen (viewed on Oct. 2, 2009). "A thesis submitted to the Faculty of Graduate Studies and Research in partial fulfillment of the requirements for the degree of Master of Science, Department of Computing Science, University of Alberta." Includes bibliographical references.

Den här studien avser att genom intervjuer med experter inom IT-området, tidigare forskning samt en uppskattning av tillgänglig mängd support göra en rekommendation för användning av PHP eller JavaScript med Node.js som serverside-scriptspråk. Studien har använt sig av en kvalitativ ansats där fyra intervjuer genomfördes där frågor om respondentens upplevelser av språket och plattformen varit i fokus. Urvalet har skett via snöbollsurval där rekommendationer från respondenter med för studien uppnådda kriterier rekommenderat andra respondenter. Den insamlade datan har analyserats med en tematisk analys och presenterats i en slutsats. Frågeställningen var ”vilket språk bör en framtida serverside-utvecklare rikta in sig mot för att vara attraktiv i en bransch med ett växande användande av webbapplikationer?”. Vissa metodologiska svagheter framkom där ibland för få intervjuobjekt då svårigheter att hitta respondenter som matchade studiens kriterier upptäcktes. Resultatet visar på att Node.js föredras av respondenterna och tidigare studier stärker också detta resultat vilket leder till att rekommendationen talar för ett fortsatt användande av Node.js. Slutsatsen talar dock för att en ny studie bör genomföras där fler respondenter erhålls för möjlighet av högre uppfyllnad av mättnad och Node.js hunnit växa till sig mer som plattform.

Due to the fast enlargement and complexity of systems used among telecommunication companies, the need for automatically testing has grown. The changeable nature of these systems makes implementation of automated testing to a difficult task. Finding an automated testing technique that is suitable for these types of systems is the subject of this thesis and several different types of scripting techniques has been considered. To be able to conduct this, an industrial case study is used; which shows how scripting techniques are affected by different types of changeability occurring in a system. / Marjaana Tienaho E-mail: Marjaana_tienaho@spray.se Jesús Barrio E-mail: jesus_barrio@hotmail.com E-mail: jesus_barrio@hotmail.com

This diploma thesis deals with automatic task processing, especially with automatic processing of forms on web pages. The thesis throws light on the theoretical and practical matter. At the beginning of this thesis are described the reasons, why this topic were chosen. Also there are mentioned the possible uses of application, realized on this principles. Foremost simplification of retrieval of data with standardized (but general) format from common users, which could be used for data mining process. For creating this kind of application is described concepts of its implementation, including description of problematic parts and their possible solution. In this part is mentioned algorithm, which deals with security limitation of current web browsers -- so-called cross-site scripting. One part of this thesis is description of current commercial and non-commercial solutions, which at least partly fulfills the demands of the application. At the conclusion is analyzed functionality of created application and proposed advancements and improvements for creating new versions of application

This thesis explores the possibilities of implementation of methods for data acquisition in wireless access point MikroTik while using virtualized OpenWRT system. First part of the paper contains short introduction into device’s features and extention of the features by virtualizing the operation system. Design and implementation of the scripts for average load of interfaces data acquisition is in the second part of the paper. The next part deals with the transmission of the gathered data and implementation of the proposed programs in C language. The last part of the paper covers the implementation of a complete program to collect, send and receive data with the option of parameters configuration, and automatic acquisition of the configuration.

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The current uses of unmanned aerial vehicles (UAVs) in wildland firefighting center around mapping, scouting, and firing operations. These operations and additional operations are often held back by lack of range and lift capacity of current UAV options. Software design tools were developed in this research to aid in designing a UAV for wildland firefighting. The tools help create a mission profile, estimate the mass of the UAV, select a motor and rotor, select a battery, and generate and analyze a finite element (FE) sector model. These tools leverage parametric analysis and studying existing hardware to create a design. The FE model is generated based on the mission profile, a motor and rotor, and battery as design parameters and a set of design variables. The tools developed for creating a mission profile, estimating mass, selecting a motor and rotor, and selecting a battery successfully aid the preliminary design of an octocopter, hexacopter, and quadcopter. The FE tool was designed around an octocopter's geometry, which leads to complications in generating FE models for a hexacopter or quadcopter. Recommendations were made for altering the FE tool to account for hexacopters and quadcopters. Other recommendations were made to support future work in creating an optimized design of a wildland firefighting UAV. / Master of Science / The use of multirotor UAVs in various industries is rapidly expanding. One industry that currently uses UAVs but is limited in their capabilities is wildland firefighting. Wildland firefighters use UAVs for scouting, mapping, and firing operations. Scouting includes finding road access to the fire, finding water sources, searching for spot fires, and many other applications. Mapping is typically done to understand the size of the fire. Firing operations are conducted to start small, controlled fires to remove fuel from the fires path. However, these operations as well as future applications of UAVs are often limited by the flight time and the lifting capabilities current UAV options offer. Tools were developed in this research to create a preliminary design of a UAV for wildland firefighting. The design parameters and variables of the UAV design are outlined throughout the tools. The tools allow for compiling mission requirements, selecting motors/rotors and a battery to use in the UAV, and a preliminary structural analysis of the UAV design. The preliminary structural analysis includes extracting stresses, strains, and displacements experienced through a simplified mission as well as the natural frequencies of the finite element sector model. The design of octocopters, hexacopters, and quadcopters were explored using the set of design tools. The tools were successfully in selecting components for each style of UAV and at the preliminary structural analysis of the octocopter design. However, the structural analysis was not able to be conducted for the hexacopter and quadcopter design due to geometric conditions in the finite element model.

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Background. Autodesk Maya allows scripting through both MEL and Python, and it is also possible to use different Python modules and a C++ API to perform the desired tasks. In theory, the C++ API is the fastest option in Maya, but there are no studies that support this claim. Other studies show that PyMEL is the slowest module in Maya to work with, but it is still the one used most frequently. This thesis has therefore made a speed measurement to determine which of the four selected Python modules and the C++ API is the fastest to use, regarding animation transfer between skeletal hierarchies with different numbers of data. Objectives. The aim of this thesis is to measure the performance in terms of speed of the Python modules NumPy, SciPy, OpenMaya and PyMEL, as well as the C++ API, in order to determine which is the fastest. Our objectives are to determine the speed performance of each module by conducting experiments. Methods. To achieve the objectives, an experiment was conducted to compare the speed of each Python module and the C++ API. To perform the experiments, the implementations for each module and the API have been written in the same way, with their own data types and classes. After performing the experiments for each module, the mean time consumption of each program has been compared. Results. The results from the experiments show that there was a noticeable difference in the speed between the C++ API and the Python modules, as the C++ API delivered the highest speed for all the skeletons that took place in the experiments. The OpenMaya module was the fastest Python module that was tested, while PyMEL was the slowest. The C++ API’s measurements show that it took 0,388–1,909 seconds depending on which skeleton was used to perform the experiment, while OpenMaya’s measurements were 0,538–3,119 seconds which show that OpenMaya is 39–68% slower than the C++ API. NumPy, SciPy and PyMEL’s measurements ranged from 689% to 3165% slower than the C++ API. Conclusions. The conclusion of the experiments show that the C++ API is the fastest to use, while PyMEL is the slowest module, as it is 2632–3165 % slower, when used for these animation transfers. This shows that the C++ API can be a better choice for complex calculations, such as animation transfers.