<p>Projektet Connect hos Sandvik system development efterfrågar en applikation för att lösa rapporteringen av sina datakonverteringar mellan olika system. Systemet som data konverteras till är PeopleSoft, som är ett av Oracels databassystem. Applikationen skapas med hjälp av diverse verktyg som finns integrerade i PeopleSofts egna verktygspaket PeopleTools, där PeopeCode som är PeopleSofts egna programmeringsspråk inkluderas. Applikationen genererar en rapport innehållande tre delrapporter, varav en delrapport på fel och avvikelser som skett under en konvertering, en delrapport där data innan och delrapport med relevant data gällande en konvertering.</p>

The management of network bandwidth is more important along with the population growth of Internet. For the issue of network bandwidth management the first thing needs to be done is to analyze network traffic belongs to which protocol. And then we can restrict the usage of network bandwidth accroding to the mangement policy. The mean used to identify network traffic in the past is port-based one which based on the well-known default port number of application protocols. For example, the Hyper-Text Transfer Protocol (HTTP) uses port number 80 as his default port, therefor we could classify traffic which appears in port 80 as HTTP traffic. It is not enough for applications in our own day, especilly the Peer-to-Peer application that used random port number as his default port in order to evade the port-based classifiaction. In order to conquer the issue described above we developed a content-based protocol classifier which inspects the payload of packets. We also compared our system with other content-based protocol classifiers. In addition, we also provided a verification tool which verifies the result of protocol classifier by connecting to the host and testing the hehavior of specific application.

The project has shown that it is possible to create applications for different mobile operating systems and linking the devices to the signal handler Data Engine . Using Qt as a framework and development environment allows doing this with only one code base, which can be made to work on different platforms. This creates great opportunity to save time and to reach a wider audience. The creation of a demonstrator application, a tutorial and a template for new projects has been the main goals for this project. These will serve as examples and guides for applications to come on how to deploy to mobile devices and connect to Data Engine using Wi-Fi. Though support for Windows Phone was not achieved, due to both development-wise difficulties and choices made during the project's course, the project was considered a success.

Thesis (MEng)--Stellenbosch University, 2015. / ENGLISH ABSTRACT: The Smart Grid is an initiative to make the existing utility grid more effective and efficient by making utility infrastructure smarter. The initiative affects all areas of the utility grid and all utility hardware. Communication to utility hardware for monitoring and remote configuration is central to the smart grid vision. The focus of this project is the Smart Transformer, a distribution transformer with built-in intelligence and communication capabilities. Data acquisition and remote configuration hardware and software was developed and installed on a distribution transformer for application in deep rural areas. The solution included communication capabilities and adheres to industry standards. The solution was tested and data acquisition and management were done using the OSIsoft PI System software. Field tests were performed to evaluate the effectiveness of the solution in a deep rural setting. It was found that the smart transformer can be effectively monitored, configured and controlled in a deep rural setting. The smart transformer concept was investigated in a microgrid context. The potential of a smart transformer within a microgrid was explored and the smart transformer as a microgrid market-enabler was focussed on. A simulation was performed to evaluate the role of a smart transformer as a microgrid market-enabling device. It was found that the smart transformer has the potential to serve as a market-enabling device. / AFRIKAANSE OPSOMMING: Die slim kragnetwerk is 'n initiatief om die bestaande kragnetwerk meer effektief en doeltreffend te maak deur kragnetwerk infrastruktuur se intelligensie te vermeerder. Die initiatief beïnvloed alle aspekte van die kragnetwerk en kragnetwerk hardeware. Kommunikasie met kragnetwerk hardeware vir moniteering en instelling oor 'n afstand is sentraal aan die slim kragnetwerk visie. Die fokus van hierdie projek is die slim transformator, 'n distribusie transformator met ingeboude intelligensie en kommunikasie vermoëns. Data verkryging en afstandelike instelling hardeware en sagteware was ontwikkel en installeer op 'n distribusie transformator vir toepasing in diep-landelike gebiede. Die oplossing sluit kommunikasie vermoëns in en voldoen aan industrie standaarde. Die oplossing was getoets en data verkryging en bestuur was geïmplementeer met gebruik van OSIsoft se PI Stelsel sagteware. Veldtoetse was gedoen om die effektiwiteit van die oplossing in diep-landelike gebiede te evalueer. Dit was gevind dat die slim transformator effektief gemoniteer, ingestel en beheer kan word in 'n diep-landelike omgewing. Die slim transformator konsep was ondersoek in 'n mikro-kragnetwerk konteks. Die potensiaal van 'n slim transformator binne 'n mikro-kragnetwerk was verken en die vermoë van 'n slim transformator om 'n mark binne 'n mikro-kragnetwerk in staat te stel was op gefokus.‘n Simulasie was uitgevoer om die vermoë wat 'n slim transformator het om 'n mark binne 'n mikro-kragnetwerk in staat te stel te evalueer. Dit was gevind dat 'n slim transformator die vermoë het om 'n mark binne 'n mirko-kragnetwerk in staat the stel.

Afin de retrouver un paramètre efficace de la structure périodique, on s'est efforcé de développer la théorie de l'homogénéisation, qui considère la structure périodique comme un milieu homogène. Cette thèse porte principalement sur la proposition et la validation de l'homogénéisation classique et de second ordre. Une méthode d'homogénéisation est appliquée pour obtenir des paramètres efficaces de structures multicouches. De plus, une homogénéisation classique est adoptée pour calculer les propriétés de transmission de structures diélectriques multicouches et la relation de dispersion d'un réseau de cylindres métalliques monté sur un plan de masse métallique lisse. D'après cette relation de dispersion, la propriété de coupe-bande à une certaine bande de fréquences est découverte et est appliquée sur la reformation du diagramme de rayonnement de l'antenne à plaque traditionnelle en supprimant l'onde de surface propageant sur le plan de masse. Nous avons publié cette partie dans [22]. Nous démontrons expérimentalement une limitation importante de l'homogénéisation classique lors du calcul de la propriété de transmission d'un réseau métallique ultra-fin. Le coefficient de transmission mesuré est beaucoup plus faible que celui calculé par homogénéisation classique, bien que les interférences qui peuvent être causées par l'installation d’expérience imparfaite sont éliminées. Nous proposons donc une nouvelle homogénéisation de second ordre, qui permet d'obtenir le coefficient de transmission correspondant aux résultats numériques. De plus, l'homogénéisation de second ordre a été validée expérimentalement par plusieurs grilles métalliques de même dimension sauf l'épaisseur. / In order to retrieve effective parameter of the periodic structure, people have made effort to develop the theory of homogenization, which regards the periodic structure as a homo- geneous medium. This thesis mainly focuses on the proposition and validation of classical and second order homogenization. A kind of method for homogenization is applied to ob- tain effective parameters of multilayer structures. Moreover, classical homogenization is adopted to calculate transmission properties of dielectric multilayer structures and the dis- persion relation of metallic cylinder array mounted on a smooth metallic ground plane. From the dispersion relation, its band gap property at a certain frequency band is revealed and is applied to reshape the radiation pattern of traditional patch antenna by suppressing the surface wave propagating on the ground plane. We have published his part of the work in [22]. We experimentally demonstrate one important limitation of classical homogenization when calculating the transmission property of an ultra-thin metallic grating. The mea- sured transmission coefficient is much smaller than that calculated by classical homoge- nization, although the interferences may be caused by the imperfect experiment facility are eliminated. Thus we propose a new second order homogenization, which is able to get the transmission coefficient correspondent to numerical results. Furthermore, second order homogenization has been experimentally validated by several metallic grating with the same dimension except for the thickness. This part of work will be included in a chapter of a book will be published by Intech Publisher.

The master’s thesis is focused on the design and creation of a solution for converting company’s software application into the mobile and web form. The main goal is make business processes more efficient and maintain information and cyber security. The result should be a system that brings an innovative and convenient solution, time and financial savings.

<p>The current software ecosystem is exceptionally complex. A key defining feature of this complexity is the vast input space that software applications must process. This feature</p> <p>inhibits fuzzing (an effective automated testing methodology) in uncovering deep bugs (i.e.,</p> <p>bugs with complex preconditions). We improve the bug-finding capabilities of fuzzers by</p> <p>reducing the input space that they have to explore. Our techniques incorporate domain</p> <p>knowledge from the software under test. In this dissertation, we research how to incorporate</p> <p>domain knowledge in different scenarios across a variety of software domains and test</p> <p>objectives to perform deep bug discovery.</p> <p>We start by focusing on language interpreters that form the backend of our web ecosystem.</p> <p>Uncovering deep bugs in these interpreters requires synthesizing inputs that perform a</p> <p>diverse set of semantic actions. To tackle this issue, we present Gramatron, a fuzzer that employs grammar automatons to speed up bug discovery. Then, we explore firmwares belonging to the rapidly growing IoT ecosystem which generally lack thorough testing. FirmFuzz infers the appropriate runtime state required to trigger vulnerabilities in these firmwares using the domain knowledge encoded in the user-facing network applications. Additionally, we showcase how our proposed strategy to incorporate domain knowledge is beneficial under alternative testing scenarios where a developer analyzes specific code locations, e.g., for patch testing. SieveFuzz leverages knowledge of targeted code locations to prohibit exploration of code regions and correspondingly parts of the input space that are irrelevant to reaching the target location. Finally, we move beyond the realm of memory-safety vulnerabilities and present how domain knowledge can be useful in uncovering logical bugs, specifically deserialization vulnerabilities in Java-based applications with Crystallizer. Crystallizer uses a hybrid analysis methodology to first infer an over-approximate set of possible payloads through static analysis (to constrain the search space). Then, it uses dynamic analysis to instantiate concrete payloads as a proof-of-concept of a deserialization vulnerability.</p> <p>Throughout these four diverse areas we thoroughly demonstrate how incorporating domain</p> <p>knowledge can massively improve bug finding capabilities. Our research has developed</p> <p>tooling that not only outperforms the existing state-of-the-art in terms of efficient bug discovery (with speeds up to 117% faster), but has also uncovered 18 previously unknown bugs,</p> <p>with five CVEs assigned.</p>

Master of Science / Department of Computing and Information Sciences / Daniel A. Andresen / According to the Division of Injury Response, Centers for Disease Control and Prevention, approximately 1.4 million Americans sustain a traumatic brain injury each year. The aim of the project is to create a web interface to link survivors, family members, and caregivers of individuals suffering from traumatic brain injuries (TBI) to potentially helpful agencies or service centers within their local communities. Often the TBI service centers located in the remote places are difficult to trace hence this website mainly concentrates on small rural centers which are located in Kansas State. The portal will offer two-dimensional and basic information about traumatic brain injury centers and specifically about access of resources. Within the portal, a link to an interactive map will be provided. A form for data entry helps the service centers to publish about their presence and the regions they serve. A search distance feature is also added into the website which interactively searches the nearest latitude, longitude values (TBI service center) to the user’s location by using the haversine formula.

Master of Science / Department of Computing and Information Sciences / Daniel Andresen / Students who are Research Assistants under Dr. Craig Paukert, Division of Biology Kansas State University have problems storing/retrieving their field data directly from database. There data is generally related to fishes in Kansas River. All this data is entered in the data sheets during the research in field. They enter fish related data like tag numbers (each fish caught is given a tag and after noting the data related to the fish it is left back in the river) and other information like size of the fish, place the fish was caught (stations) and information about the shore habitats, water temperature, depth etc. They also need data to recognize the aging in a recaptured fish (fish caught with a tag). The data from these data sheets is manually entered into the database. Each student has their information on the database entered (wherein they actually have to work on a single database). There is inconsistency of data. Also the database doesn't show the concentration of the fishes or location of the fishes right away. For which they require lot of analysis on the data. The main objective of this project is to provide a solution for this problem. The solution is an interface to store data and retrieve data and show the data on Maps for easy analysis and also have centralized data. The interface is user friendly which removes the hassle from entering the data manually into the database.

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