License plate recognition (LPR) system plays an important role in numerous applications, such as parking accounting systems, traffic law enforcement, road monitoring, expressway toll system, electronic-police system, and security systems. In recent years, there has been a lot of research in license plate recognition, and many recognition systems have been proposed and used. But these systems have been developed for computers. In this project, we developed a mobile LPR system for Android Operating System (OS). LPR involves three main components: license plate detection, character segmentation and Optical Character Recognition (OCR). For License Plate Detection and character segmentation, we used JavaCV and OpenCV libraries. And for OCR, we used tesseract-ocr. We obtained very good results by using these libraries. We also stored records of license numbers in database and for that purpose SQLite has been used.

Background: The rise in the total number of seniors will lead to a considerable increase in the prevalence of persons with dementia (PWD), the number of senior drivers and the amount of drivers with dementia. Understanding how this life event is experienced by PWD and their caregivers is paramount to policy development and planning. Methods: Descriptive qualitative study using secondary data. There were 25 participants over the age of 65, whose monthly phone call conversations were analyzed using analytic induction, to find links and create a theoretically based hypothesis regarding the experience of driving cessation. A standardized questionnaire was used to guide the telephone data collection. Results: PWD may experience emotions of anger when they don’t understand why they are no longer allowed to drive. When PWD understand why they are no longer allowed to drive, they seem to accept and self-regulate their driving cessation. Cognitive tests and physicians instructing PWD they have to cease driving, are not perceived to be helpful in this understanding. Public transportation and alternate means of personal transportation are potentially associated with the acceptance of driving cessation. Conclusions: PWD might not understand the link between cognitive assessments, their memory, and their driving performance. A systems level approach to improved access to transportation and on-road driving tests might make it easier for PWD to understand and accept the lifestyle changes that come with driving cessation.

Currently, operation of companies is entirely dependent on information and communication technologies (ICT) which are used across all indfustries. There are bigger demands that are placed on the management of individual assets, while software is the most problematic from this perspective. It is necessary for companies to pay sufficient attention to this issue, because there is a high risk of financial penalties in case of its failure. The first objective of this thesis is to provide basic characteristics of Software Asset Management (SAM) belonging to Information Technology Infrastructure Library (ITIL), which is one of the few adressing this area in an entirely way. This objective is default condition for achieving the second objective, where will be analyzed specific case of software asset management in the banking sector. On the basis of the analysis will be accepted proposals for implemention of best practises of SAM. The third objective is enrichment of previous proposals by parts of request for proposal, which are focused on detailed specification of the required functionality of software tools according to SAM. The all tasks will be achieved through the study of relevant sources and through techniques that help with analysis and definition of the future state. The benefits of thesis are in to identification of gaps within software asset management, which obtained through employee survey. The second contribution is to propose changes in the form of specific steps that should help to bring more efficiency to the current state. The last contribution is to summarise new pieces of knowledge, which are extending this issue by information focused on large organisations.

The diploma thesis deals with the gluten-free labelling placing emphasis on a trademark. The introductory chapter depicts specification of products suitable for gluten-free diet. The thesis assesses and compares commercial and legal aspects of trademark, quality mark and designation specified in public law. These are evaluated in connection with products suitable for gluten-free diet. The concluding part is devoted to an analysis of the European Licensing System.

Object detection and machine learning are important fields in Computer science. This report presents two methods to find the bounding box of a license plate and tries to evaluate the best approach to deal with various lighting conditions. The first method uses edge detection to find a number of potential candidates, where each candidate is fed to a machine learning model who decides if the candidate is a license plate or not. This had an accuracy of 39%. This method is pointing towards struggling with varying light levels and the lowest accuracy was measured at the highest and lowest mean brightness values. The second method uses mostly machine learning to find the bounding box of a license plate which achieved a higher accuracy with 68%. This method seems to be better in low-light conditions and is more uniform in accuracy across different lighting conditions.

Previous research shows that software reuse can have a positive impact on software development economics, and that the adoption of a specific open source license can influence how a software product is received by users and programmers. This study attempts to bridge these two research areas by examining how the adoption of an open source license affects software reuse. Two reuse metrics were applied to 9,570 software packages contained in the Fedora Linux software repository. Each package was evaluated to determine how many external components it reuses, as well as how many times it is reused by other software packages. This data was divided into subsets according to license type and software category. The study found that, in general, (1) software released under a restrictive license reuse more external components than software released under a permissive license, and (2) that software released under a permissive license is more likely to be reused than software released under a restrictive license. However, there are exceptions to these conclusions, as the effect of license choice on reuse varies by software category. / Master of Science

License plate recognition (LPR) technology has been widely applied in many different transportation applications such as enforcement, vehicle monitoring and access control. In most applications involving enforcement (e.g. cashless toll collection, congestion charging) and access control (e.g. car parking) a plate is recognized at one location (or checkpoint) and compared against a list of authorized vehicles. In this research I dealt with applications where a vehicle is detected at two locations and there is no list of reference for vehicle identification. There seems to be very little effort in the past to exploit all information generated by LPR systems. In nowadays, LPR machines have the ability to recognize most characters on the vehicle plates even under the harshest practical conditions. Therefore, even though the equipment are not perfect in terms of plate reading, it is still possible to judge with certain confidence if a pair of imperfect readings, in the form of sequenced characters (strings), most likely belong to the same vehicle. The challenge here is to design a matching procedure in order to decide whether or not they belong to same vehicle. In view of the aforementioned problem, this research intended to design and assess a matching procedure that takes advantage of a similarity measure called edit distance (ED) between two strings. The ED measure the minimum editing cost to convert a string to another. The study first attempted to assess a simple case of a dual LPR setup using the traditional ED formulation with 0 or 1 cost assignments (i.e. 0 if a pair-wise character is the same, and 1 otherwise). For this dual setup, this research has further proposed a symbol-based weight function using a probabilistic approach having as input parameters the conditional probability matrix of character association. As a result, this new formulation outperformed the original ED formulation. Lastly, the research sought to incorporate the passage time information into the procedure. With this, the performance of the matching procedure improved considerably resulting in a high positive matching rate and much lower (about 2%) false matching rate.

This thesis evaluates the performance of a vehicle detection technology, Automated License Plate Recognition (ALPR) camera systems, with regards to its ability to produce real-time travel time information in active work zones. A literature review was conducted to investigate the ALPR technology as well as to identify other research that has been conducted using ALPR systems to collect travel time information. Next, the ALPR technology was tested in a series of field deployments in both an arterial and a freeway environment. The goal of the arterial field deployment was to evaluate the optimal ALPR camera angles that produce the highest license plate detection rates and accuracy percentages. Next, a series of freeway deployments were conducted on corridors of I-285 in Atlanta, Georgia in order to evaluate the ALPR system in active work zone environments. During the series of I-285 freeway deployments, ALPR data was collected in conjunction with data from Bluetooth and radar technologies, as well as from high definition video cameras. The data collected during the I-285 deployments was analyzed to determine the ALPR vehicle detection rates. Additionally, a script was written to match the ALPR reads across two data collection stations to determine the ALPR travel times through the corridors. The ALPR travel time data was compared with the travel time data produced by the Bluetooth and video cameras with a particular focus on identifying travel time biases associated with each given technology. Finally, based on the knowledge gained, recommendations for larger-scale ALPR work zone deployments as well as suggestions for future research are provided.

Due to the decrease in obtaining driver’s licenses among young people, the main purpose of this study was to acquire a deeper understanding of young people’s attitudes towards driver’s license and towards driver’s education. This is a qualitative study with a theoretical approach, which combines Bourdieu with post modern theories. By using focus groups a wide rage of attitudes among young people have been gathered. Having a driver’s license is still considered a standard among young people even though their attitude mostly depends on their need for one. They are also very positive towards alternative ways of transportation and towards public transport. The young are convinced that it is easy to obtain a driver’s license if they wish to have one. One main point that this study points out is that the driver’s license has lost its status as a transitional event between childhood and adulthood.

Consumers of digital contents are empowered with numerous technologies allowing them to produce perfect copies of these contents and distribute them around the world with little or no cost. To prevent illegal copying and distribution, a technology called Digital Rights Management (DRM) is developed. With this technology, consumers are allowed to access digital contents only if they have purchased the corresponding licenses from license issuers. The problem, however, is that those consumers are not allowed to resell their own licenses- a restriction that goes against the first-sale doctrine. Enabling a consumer to buy a digital license directly from another consumer and allowing the two consumers to fairly exchange the license for a payment are still an open issue in DRM research area. This thesis investigates existing security solutions for achieving digital license reselling and analyses their strengths and weaknesses. The thesis then proposes a novel Reselling Deal Signing (RDS) protocol to achieve fairness in a license reselling. The idea of the protocol is to integrate the features of the concurrent signature scheme with functionalities of a License Issuer (LI). The security properties of this protocol is informally analysed and then formally verified using ATL logic and the model checker MOCHA. To assess its performance, a prototype of the RDS protocol has been developed and a comparison with related protocols has been conducted. The thesis also introduces two novel digital tokens a Reselling Permission (RP) token and a Multiple Reselling Permission (MRP) token. The RP and MRP tokens are used to show whether a given license is single and multiple resalable, respectively. Moreover, the thesis proposes two novel methods supporting fair and secure digital license reselling. The first method is the Reselling Deal (RD) method which allows a license to be resold once. This method makes use of the existing distribution infrastructure, RP, License Revocation List (LRL), and three protocols: RDS protocol RD Activation (RDA) protocol, and RD Completion (RDC) protocol. The second method is a Multiple License Reselling (MLR) method enabling one license to be resold N times by N consumers. The thesis presents two variants of the MLR method: RRP-MR (Repeated RP-based Multi-Reselling) and HC-MR (Hash Chain-based Multi-Reselling). The RRP-MR method is designed such that a buyer can choose to either continue or stop a multi-reselling of a license. Like the RD method, the RRP-MR method makes use of RP, LI, LRL, and the RDS, RDA, and RDC protocols to achieve fair and secure reselling. The HC-MR method allows multiple resellings while keeping the overhead on LI at a minimum level and enable a buyer to check how many times a license can be further resold. To do so, the HC-MR utilises MRP and the hash chain cryptographic primitive along with LRL, LI and the RDS, RDA and RDC protocols. The analysis and the evaluation of these three methods have been conducted. While supporting the license reselling, the two methods are designed to prevent a reseller from (1) continuing using a resold license, (2) reselling a non-resalable license, and (3) reselling one license a unauthorised number of times. In addition, they enable content owners of resold contents to trace a buyer who has violated any of the usage rights of a license bought from a reseller. Moreover, the methods enable a buyer to verify whether a license he is about to buy is legitimate for re-sale. Furthermore, the two methods support market power where a reseller can maximise his profit and a buyer can minimise his cost in a reselling process. In comparison with related works, our solution does not make use of any trusted hardware device, thus it is more cost-effective, while satisfying the interests of both resellers and buyers, and protecting the content owner's rights.