This Master’s thesis presents an algorithm that finds the semantic differences between two versions of files, an older version and a new modified version of the file. The algorithm is responsible for finding changes in the program’s behavior and displaying them graphically. By this a lot of time can be saved because it is not necessary to go through the whole file to find the differences.   The program, Semantic Diff, developed in this master thesis uses the Javacc parser generator which is used to parse files and generate the abstract syntax tree for them. Using this tree it is possible to see all the methods, classes, constructors and parameters for both older version and modified version.  By comparing all the methods, classes and interfaces of both the versions it is possible to find the differences that change the program behavior.   The algorithm for finding semantic differences has been evaluated by testing it on various test cases. By making changes in the original file and in the modified file. Like adding methods and deleting methods and adding classes to the files. The algorithm highlights those methods with green color which are added newly in the modified file and highlights the methods with red color in the original file which got deleted in modified file. This algorithm also finds the textual difference between two files and highlights those lines which are changed in modified file and which got deleted from original file.

På senare år har etableringen av 3D-applikationer på internet, för att visualisera geografiska områden och platser blivit allt vanligare. Exempel på sådana applikationer är tjänsterna Google Earth och Street View, som levereras av företaget Google. Den snabba utvecklingen av 3D-tjänsterna har medfört bättre bildupplösning och mer detaljerade satellitbilder. Detta har i sin tur fört med sig att integritets- och säkerhetsrelaterade frågeställningar relaterade till 3D-applikationerna har aktualiserats. Från flera håll i världen har Google stött på ifrågasättanden och protester. Skäl som påtalats i dessa sammanhang är bland annat integritetskränkande aspekter samt försvars- och säkerhetsrisker.Syftet med detta arbete är att undersöka de säkerhetsrisker som kan komma att uppstå i takt med att Google kontinuerligt etablerar sina 3D-tjänster i Sverige. Undersökningen görs för att få en helhetsbild över hur svenska företag och myndigheter upplever Googles tjänster samt den lagstiftning som är förknippad med dessa. Undersökningen, som utförts i enkätform, har riktats in på svenska företag och myndigheter samt ambassader belägna i Sverige, som bedöms vara en potentiell måltavla för terroristbrott alternativt grova rån.Undersökningen visar att svenska företag och myndigheter har en god kännedom om Google och dess 3D-tjänster. Det framgår även att en stor majoritet av de tillfrågade företagen och myndigheterna identifierat säkerhetsrisker förknippade med webbtjänsterna. Uppfattningen är att säkerhetsriskerna kommer att aktualiseras allt mer i framtiden. Detta eftersom teknikutvecklingen leder till allt mer detaljerade bilder och eftersom de nationella lagstiftningarna får allt svårare att hänga med när det gäller att förebygga säkerhetsrisker. / In recent years, the establishment of 3D-applications on the internet, in order to show geographic areas and places, has become more common. Examples of such applications are the web services Google Earth and Street View, supplied by the company Google. The rapid development of the 3D-sevices has resulted in better image resolution and more detailed satellite photos. This in turn has led to that privacy and security related to the 3D-services has been actualized. From several parts of the world, Google has faced contestations and protests. Reasons alleged in these cases are among others integrity aspects as well as defense and security reasons.The aim of this work is to examine the security related matters that can occur during Google´s continuous establishment of its 3D-sevices in Sweden. The examine is done to get an overall picture over how Swedish companies and government agencies consider Google´s services and the law associated with these. The examine has been done through a written questionaries’ that has been sent to Swedish companies and government agencies and embassies located in Sweden, that have been considered to be a potential target of terrorist crime or severe robberies.The examine show that Swedish companies and government agencies have good knowledge of Google and their 3D-services. A great majority of the respondents have identified security risks associated with the Google 3D-applications. The general view is that the technology development that lead to more and more detailed photo technology will lead to a greater actualization of the security related matters in the future. Also the fact that the difficulties to adjust the national laws in order to prevent the problems considers being a reason that will be actualized more in the future.

In recent years, the utilization of 3D display systems became popular in many application areas. One of the most important issues in the utilization of these systems is to render the correct view to the observer based on his/her position. In this thesis, we propose and implement a single user view rendering system for autostereoscopic/stereoscopic displays. The system can easily be installed on a standard PC together with an autostereoscopic display or stereoscopic glasses (shutter, polarized, pulfrich, and anaglyph) with appropriate video card. Proposed system composes of three main blocks: view point detection, view point tracking and intermediate view reconstruction. Haar object detection method, which is based on boosted cascade of simple feature classifiers, is utilized as the view point detection method. After detection, feature points are found on the detected region and accordingly they are fed to the feature tracker. View point of the observer is calculated by using the tracked position of the observer on the image. Correct stereoscopic view is, then, rendered on the display. A 3D warping-based method is utilized in the system as the intermediate view reconstruction method. System is implemented on a computer with Pentium IV 3.0 GHz processor using E-D 3D shutter glasses and Creative NX Webcam.

<p>This Master’s thesis presents an algorithm that finds the semantic differences between two versions of files, an older version and a new modified version of the file. The algorithm is responsible for finding changes in the program’s behavior and displaying them graphically. By this a lot of time can be saved because it is not necessary to go through the whole file to find the differences.</p><p> </p><p>The program, Semantic Diff, developed in this master thesis uses the Javacc parser generator which is used to parse files and generate the abstract syntax tree for them. Using this tree it is possible to see all the methods, classes, constructors and parameters for both older version and modified version.  By comparing all the methods, classes and interfaces of both the versions it is possible to find the differences that change the program behavior.</p><p> </p><p>The algorithm for finding semantic differences has been evaluated by testing it on various test cases. By making changes in the original file and in the modified file. Like adding methods and deleting methods and adding classes to the files. The algorithm highlights those methods with green color which are added newly in the modified file and highlights the methods with red color in the original file which got deleted in modified file. This algorithm also finds the textual difference between two files and highlights those lines which are changed in modified file and which got deleted from original file.</p><p> </p>

OpenPET was developed to be a scalable and flexible design for data acquisition and signal processing in Positron Emission Tomography (PET) systems. The OpenPET hardware design is mature, but the control software and firmware need further development. In this thesis we developed a software application to connect a host PC with an OpenPET system. We also developed data acquisition firmware that allows data transfer to the host PC. A novel design for an OpenPET coincidence detection processor was proposed, with its basic functionality implemented and validated. A novel method to process PET events in real time was also introduced and validated using simulated data. The feasibility of implementation of this method using Field Programmable Gate Arrays (FPGAs) was demonstrated for our OpenPET system.

Because of the increasing data sizes and demands for low latency in modern data analysis, the traditional data warehousing technologies are greatly pushed beyond their limits. Several stream data warehouse (SDW) systems, which are warehouses that ingest append-only data feeds and support frequent refresh cycles, have been proposed including different methods to improve the responsiveness of the systems. Materialized views are critical in large-scale data warehouses due to their ability to speed up queries. Thus an SDW maintains layers of materialized views. Materialized view maintenance in SDW systems introduces new challenges. However, some of the existing SDW systems do not address the maintenance of views while others employ view maintenance techniques that are not efficient. This thesis presents ViewDF, a flexible framework for incremental maintenance of materialized views in SDW systems that generalizes existing techniques and enables new optimizations for views defined with operators that are common in stream analytics. We give a special view definition (ViewDF) to enhance the traditional way of creating views in SQL by being able to reference any partition of any table. We describe a prototype system based on this idea, which allows users to write ViewDFs directly and can automatically translate a broad class of queries into ViewDFs. Several optimizations are proposed and experiments show that our proposed system can improve view maintenance time by a factor of two or more in practical settings.

OpenPET was developed to be a scalable and flexible design for data acquisition and signal processing in Positron Emission Tomography (PET) systems. The OpenPET hardware design is mature, but the control software and firmware need further development. In this thesis we developed a software application to connect a host PC with an OpenPET system. We also developed data acquisition firmware that allows data transfer to the host PC. A novel design for an OpenPET coincidence detection processor was proposed, with its basic functionality implemented and validated. A novel method to process PET events in real time was also introduced and validated using simulated data. The feasibility of implementation of this method using Field Programmable Gate Arrays (FPGAs) was demonstrated for our OpenPET system.

No description available.

Thesis (Ph. D.)--University of Wisconsin--Madison, 1967. / Typescript. Vita. Includes bibliographical references.

No description available.