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<p> Two experiments are reported that examine motor overflow in Down syndrome and nonretarded persons. The two main purposes of the experiments were to determine the utility of motor overflow as a diagnostic tool and the relationship between motor overflow and transfer of training. In Experiment 1, nonretarded children and adults performed a unimanual finger-sequencing task. It was found that motor overflow follows a developmental course. As well, a positive relationship was found between motor overflow and intermanual transfer of training, and children were able to reduce their ipsilateral motor overflow with training. These results indicate that caution should be taken in diagnosing central nervous system dysfunction of a structural nature using motor overflow. In Experiment 2, similar procedures were used to examine younger children and Down syndrome adults. It was found that with conscious effort, even the children could reduce their motor overflow. A positive relationship between transfer of training and motor overflow was also evidenced in Down syndrome subjects. As well, there was greater transfer of training from the left hand to the right hand than the reverse, in both Down syndrome adults and young, nonretarded children. These findings are discussed in reference to factors affecting the appearance of motor overflow and what can be learned about cerebral specialization in nonretarded and special populations.</p> / Thesis / Master of Science (MSc)

This thesis explores the critical role of usability in software development and uses usability heuristics as a cost-effective and efficient method for evaluating various software functions and interfaces. With the proliferation of software development in the modern digital age, developing user-friendly interfaces that meet the needs and preferences of users has become a complex process. Usability heuristics, a set of guidelines based on principles of human-computer interaction, provide a starting point for designers to create intuitive, efficient, and easy-to-use interfaces that provide a seamless user experience. The study uses Jakob Nieson's ten usability heuristics to evaluate the usability of Stack Overflow posts, a popular Q\&A website for developers. Through the analysis of 894 posts related to usability, the study identifies common usability problems faced by users and developers, providing valuable insights into the effectiveness of usability guidelines in software development practice. The research findings emphasize the need for ongoing evaluation and improvement of software interfaces to ensure a seamless user experience. The thesis concludes by highlighting the potential of usability heuristics in guiding the design of user-friendly software interfaces and improving the overall user experience in software development.

In this thesis, we present two fairly general classes of so called overflow queueing networks. These networks consist of two queues, where the capacity of the first queue is always finite. Customers arriving at the first queue have an overflow capability from the first to the second queue if the first queue operates at a certain fixed capacity, i.e., under certain conditions, demands arriving at the first queue are allowed to join the second queue. The overflow stream will additionally be weighted with a parameter p. This parameter can be used as a control parameter or to model the customers´ impatience. We reduce the number of unknown steady-state probabilities of these system in a considerable amount by a generating functions approach and a separation technique.

En France les filtres plantés à écoulement vertical sont utilisés pour le traitement des surverses de déversoir d’orage (CSO en anglais). Ils sont efficaces pour le traitement des polluants ainsi que pour assurer un rôle de tampon hydraulique permettant de protéger les milieux hydriques superficiels. Ils ont la particularité de recevoir des effluents bruts dont la fréquence, l’intensité, la durée et les concentrations sont stochastiques. En conséquence de quoi l’optimisation du dimensionnement est particulièrement délicate. Dans ce travail, le dimensionnement est abordé suivant deux approches. D’une part en définissant les processus clefs pour une optimisation du dimensionnement et, d’autre part, en construisant un modèle dynamique simplifié (Orage)permettant de prendre en compte, sur le long terme, le caractère stochastique des évènements et les contraintes locales. Le cœur du modèle a été calibré et validé sur une large gamme d’évènements mesurées sur un site en taille réelle (site de Marcy l’Etoile). La qualité de la calibration a été validé aussi bien visuellement que statistiquement et la robustesse du modèle étudiée par une analyse de sensibilité (méthode de Morris). L’optimisation automatique du dimensionnement a nécessité la réalisation d’une boucle itérative également paramétrée et testée dans le cadre du site de Marcy l’Etoile et pour des cas théoriques. Les dimensionnements proposés ont été estimés réalistes. La définition des processus clefs du système de traitement, et le développement du modèle simplifié, a également été possible grâce à la simulation d’expérimentations sur colonnes par un modèle mécaniste (HYDRUS / CW2D). La paramétrisation des processus du modèle simplifié a été réalisée sur la base d’expérimentations détaillées sur le site de Marcy l’Etoile. Le site a été suivi pendant trois ans aussi bien par des prélèvements automatiques, des traçages, que des mesures en lignes (hydraulique, azote, teneur en eau). Parmi les processus calibrés, nous retiendrons i) l’importance du niveau de saturation de la base du filtre au début d’un évènement vis-à-vis des court circuits hydrauliques, ii) la définition des capacités d’adsorption de l’azote ammoniacale de différents matériaux (pouzzolane, mélange de sable et de zéolite) et iii), la définition des cinétiques de nitrification suivant la température et quantité d’azote ammoniacal adsorbé. Si les performances de l’ouvrage sont hautes pour les paramètres majeurs (MES, DCO, N-NH4), l’impact du dimensionnement, de la gestion et des facteurs environnementaux sur les performances et l’accumulation de boue a été étudié. De plus, quelques suivis ont été réalisés sur les métaux et les HAP. Ces mesures ont permis non seulement de calibrer le logiciel Orage mais aussi de proposer des modifications pour l’amélioration du dimensionnement. / Constructed wetlands for combined sewer overflow treatment (CSO CWs) are vertical flow filters in France. They effectively remove pollutants and mitigate hydraulic peaks, which protects natural waters. They receive unsettled flows with stochastic return periods, volumes and concentrations, making design optimization difficult. In the presented work, design is targeted from two sides. First, the scientific basis is laid down for the design-support software Orage. The tool is model-based and as such, it considers the stochasticity of CSOs site-specifically. Its core model has been calibrated and then verified by a range of tests. Simulations fit to measured data from a full-scale CSO site (Marcy l’Etoile). The goodness of fit is evaluated visually and statistically. Model robustness has been confirmed by a sensitivity analysis (Morris method). After this, the iterative shell has been parameterized and tested (the software element doing automatic optimization). The design proposals of the tool have been found realistic. The other approach to target optimization has been a detailed field research at Marcy l’Etoile. The site at Marcy l’Etoile has been monitored for three years, using automatic samplers and online probes. The filling of the porous media at event start proves and explains shortcutting behaviour. Adsorption capacities have been quantified for pozzolana and a sand and zeolite mixture. A temperature-dependent equation is calibrated to calculate nitrification rate. System efficiency is high for target pollutants (TSS, COD, NH4-N). Design, operational and environmental factors have been analysed to seek potential effects on removal performances and sludge accumulation. Additionally, PAHs and metals are indicated for a few selected events. The field results were essential to calibrate Orage and to see options for design improvements. The understanding of CSO CWs and the development of Orage was promoted also by simulating lab-scale columns using the process-based model package HYDRUS / CW2D.

Publication aims to propose and apply new metrics for intrusion detection in network traffic according to analysis of existing metrics, analysis of network traffic and behavioral characteristics of known attacks. The main goal of the thesis is to propose and implement new collection of metrics which will be capable to detect zero day attacks.

Email connects 85% of the world. This paper explores the pattern of information overload encountered by majority of email users and examine what steps key email providers are taking to combat the problem. Besides fighting spam, popular email providers offer very limited tools to reduce the amount of unwanted incoming email. Rather, there has been a trend to expand storage space and aid the organization of email. Storing email is very costly and harmful to the environment. Additionally, information overload can be detrimental to productivity. We propose a simple solution that results in drastic reduction of unwanted mail, also known as graymail.

Master of Landscape Architecture / Department of Landscape Architecture/Regional and Community Planning / Timothy Keane / Kansas City’s outdated sewer system is presently incapable of capturing and treating the increased runoff volumes in Turkey Creek Basin during rainstorm events. As a result, 2.66 billion gallons of untreated sewer system overflow is released annually into the Kansas River and nearby properties. In 2002, the Environmental Protection Agency issued a civil action requiring the City of Kansas City, Missouri, to take appropriate and necessary actions needed to prevent or minimize the discharge of untreated sewage. In response, the City of Kansas City adopted a comprehensive Overflow Control Plan intended to reduce sewer system overflow volumes in Turkey Creek Basin by 85% at a cost of approximately $244 million. Initially, the City of Kansas City seriously considered implementing stormwater best management practices (BMPs) in place of sewer system improvements. Stormwater BMPs infiltrate, filter, store, and evaporate stormwater runoff close to its source, preventing stormwater runoff from reaching the sewer system. Subsequently, many BMPs were eliminated from the Overflow Control Plan and replaced with conventional sewer system technologies because of performance concerns. However, the Overflow Control Plan acknowledged that BMPs located on private property would indirectly benefit Kansas City’s stormwater management strategy. Using geographic information system (GIS) analysis, suitability maps were generated for twelve different BMPs to determine suitable locations in Turkey Creek Basin for reducing stormwater runoff. Analysis concluded that the most effective strategy for sustainable stormwater management would be to locate BMPs at higher elevations within the watershed to prevent upland runoff from flooding sewer system pipes at lower elevations. Areas having the highest suitability are located primarily on residential land, implying that Kansas City could benefit most from encouraging its residents to equip their properties with site-appropriate BMPs. This can be achieved through educational initiatives, policy adoption, and homeowner incentives. Therefore, policies and incentives targeting Kansas City’s residents should be implemented to reduce sewer overflow volumes and prevent future costly improvements to Kansas City’s sewer system.

Master of Science / Department of Computing and Information Sciences / Eugene Vasserman / The unprecedented growth of ubiquitous computing infrastructure has brought new challenges for security, privacy, and trust. New problems range from mobile apps with incomprehensible permission (trust) model to OpenSSL Heartbleed vulnerability, which disrupted the security of a large fraction of the world's web servers. As almost all of the software bugs and flaws boil down to programming errors/misalignment in requirements, we need to retrace back Software Development Life Cycle (SDLC) and supply chain to check and place security & privacy consideration and implementation plan properly. Historically, there has been a divergent point of view between security teams and developers regarding security. Security is often thought of as a "consideration" or "toll gate" within the project plan rather than being built in from the early stage of project planning, development and production cycles. We argue that security can be effectively made into everyone's business in SDLC through a broader exploration of the users and their social-cultural contexts, gaining insight into their mental models of security and privacy and usage patterns of technology, trying to see why and how security practices being satisfied or not-satisfied, then transferring those observations into new tool building and protocol/interaction design. The overall goal in our current study is to understand the common challenges and/or misconceptions regarding security-related issues among developers. In order to investigate into this issue, we conduct a mixed-method analysis on the data obtained from Stack Overflow(SO), one of the most popular on-line QA sites for software developer community to communicate, collaborate, and share information with one another. In this study, we have adopted techniques from mining software repositories research paradigm and have employed topic modeling for analyzing security-related topics in SO dataset. To our knowledge, our work in SO data mining is one of the earliest systematic attempts to understand the roots of challenges, misconceptions, and deterrent factors, if any, among developers while they try to implement security features during software development. We argue that a proper understanding of these issues is a necessary first step towards "build security in" culture in SDLC.

Detta arbete fokuserar på att utveckla två webbapplikationer i ramverken Django och Node.js tillsammans med Express för att besvara frågan av vilket ramverk som erhåller bäst söktider utifrån en Q&amp;A plattform som använder en PostgreSQL databas vars innehåll är delar av Stack Overflow datasetet. Ramverken jämförs med hjälp av metoden experiment på grund av fördelarna som det erbjuder. Resultatet blev att Node.js gav bättre söktider för ett mindre webbapplikationer medan Django presterade bättre för större webbapplikationer. Genom att halvera storleken av sökresultatens kroppstext till 150 tecken fick Node.js söktider som i snitt var bättre än Django vid större projekt. Antalet sökresultat har en inverkan där vardera ramverk har sina egna intervaller där de ger bäst söktider. Kortsiktigt kan arbetet fortsätta genom att utföra ytterligare mätningar för respektive faktor, långsiktigt kan dessa ramverk jämföras med andra för att se om dessa två ligger bland de bättre eller sämre för denna tillämpningen.