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Full-Text Articles in Physical Sciences and Mathematics
Boundary Value Problems In A Multidimensional Box For Higher Order Linear And Quasi-Linear Hyperbolic Equations, Noha Aljaber
Boundary Value Problems In A Multidimensional Box For Higher Order Linear And Quasi-Linear Hyperbolic Equations, Noha Aljaber
Theses and Dissertations
Boundary value problems in a multidimensional box for higher order linear hyperbolic equations are considered. The concept of associated problems are introduced. For general boundary value problems there are established: (i) Necessary and sufficient conditions for a linear problem to have the Fredholm property in two–dimensional case; (ii) Necessary and sufficient conditions of well–posedness in two–dimensional case; (iii) Unimprovable sufficient conditions for a linear problem to have the Fredholm property; (iv) Unimprovable sufficient conditions of well–posedness and α–well–posedness; (v) Effective sufficient conditions of unqie solvability of two–point, periodic and Dirichlet type problems. (iv) Unimprovable conditions of unique solvability of two …
The Capacitated Transfer Point Covering Problem (Tpcp): Expanding Delivery Network Coverage With Minimal Resources, Jeffrey Allen Mcdougall
The Capacitated Transfer Point Covering Problem (Tpcp): Expanding Delivery Network Coverage With Minimal Resources, Jeffrey Allen Mcdougall
Theses and Dissertations
Retail delivery services have begun using unmanned systems in attempts to reduce the time from a customer’s order to when the product arrives at its intended destination. Utilizing these systems are beneficial to both the customer and retailer, however they create problems for the dispatchers making decisions about the delivery. Promised delivery times are now quick enough that orders cannot be grouped and dispatched at predetermined or cyclic departure times. The limited range of emerging delivery vehicles, specifically unmanned aerial systems, creates gaps in last mile retail distribution networks and excludes significant numbers of potential customers. Distributers must use a …
Identifying The Most Relevant Arguments From User Meta-Data, Roussi Roussev
Identifying The Most Relevant Arguments From User Meta-Data, Roussi Roussev
Theses and Dissertations
Arguments are essential objects in a debate. In the DirectDemocracyP2P system, they occur in association with signatures for petitions. The arguments of a signer on a given issue are grouped into one single justification, are classified by the type of signature, in our case supporting or opposing, and can be subject to various types of relations such as refute, subsume or more recent. Given those signatures and relations, the addressed problems are: (i) what makes a good supporting or opposing justification (ii) how to recommend the best justification to a new voter, (iii) how to recommend a compact list of …
Distributed Coordination For Autonomous Guided Vehicles In Multi-Agent Systems With Shared Resources, Atefeh Mahdavi
Distributed Coordination For Autonomous Guided Vehicles In Multi-Agent Systems With Shared Resources, Atefeh Mahdavi
Theses and Dissertations
The decentralized path planning technique proposed in this thesis solves major challenges in the domain of MAS. These challenges are trajectory planning and collision avoidance. Generally, in a shared infrastructure where several agents aim to use limited capacity resources, finding a set of optimal and conflict-free paths for each single agent is the most critical part. The purpose of this research is designing a decentralized framework to coordinate the behavior of a number of agents in dynamic environments where continual planning and scheduling are required. In this research, a set of tasks will be assigned to the agents. Based on …
Automated Software For The Detection Of Bolide Events, Elena Botella
Automated Software For The Detection Of Bolide Events, Elena Botella
Theses and Dissertations
The proper detection and analysis of bolide events ensures that we will once day be prepared for a big, catastrophic impact by a meteor. The data obtained from the analysis of these detected smaller events will provide important information about the meteor’s journey through our atmosphere and its orbit before it crossed the Earth’s path. SkySentinel is one of the All-Sky networks in charge of looking at the skies every night and detecting these objects as they fall. At the moment, SkySentinel’s detection process relies heavily on manpower to check whether their cameras picked up actual bolide events or false …
Privus: Take Back Your Privacy The Effect Of A User-Centered Approach On Privacy Management, Aral Tasher
Privus: Take Back Your Privacy The Effect Of A User-Centered Approach On Privacy Management, Aral Tasher
Theses and Dissertations
Rapid innovations in science and engineering have created a greater opportunity for disruptive technologies to be established at a faster rate. Less than a decade ago mobile, phones were a mere tool for communication, nowadays, we rely on their successors to remind us about our next appointment, what we need from the grocery store, or even where we parked our car. But this assistance comes with a cost; in order to help us, our devices rely on using our personal information like GPS, contacts list and personal notes, –in some cases more information than what the app needs. While there …
Building Panoramic Image Mosaics Of Coral Reefs, Yan Li
Building Panoramic Image Mosaics Of Coral Reefs, Yan Li
Theses and Dissertations
Panoramic image mosaic is an important tool for accessing the preserving condition of coral reefs sites. In recent years, a number of methods and applications are made to create panoramic image mosaics by stitching a sequence of images together to get a wider field of view. However, it is not appropriate to apply existing methods and applications to our dataset directly. The main reason is that our underwater videos are acquired not by underwater machines, but coral-conservation researchers. In this case, the stitching process becomes more challenging due to a number of problems: illumination changes, large parallax, water drift, as …
Machine Learning For Classifying Malware In Closed-Set And Open-Set Scenarios, Mehadi Seid Hassen
Machine Learning For Classifying Malware In Closed-Set And Open-Set Scenarios, Mehadi Seid Hassen
Theses and Dissertations
Anti-malware vendors regularly receive large amount of suspected malware files to be examined. However, the sheer number of files makes manual analysis time-consuming. Therefore, it is important to automate this process. Two of the main automation approaches are malware classification and clustering, where similar malware samples are grouped into malware families. Grouping malware into families allows malware analysts to examine fewer representative samples from each family, hence streamlining the malware defense process. In this dissertation, we focus on two aspects of the automated malware defense. For the first part of our work, we focus on malware classification in a closed …
A Comparison Study Of Disease Spreading Models, Douglas Nogueira Oliveira
A Comparison Study Of Disease Spreading Models, Douglas Nogueira Oliveira
Theses and Dissertations
Epidemic diseases have become one of the major sources of concern in modern society. Diseases such as HIV and H1N1 have infected millions of people around the world. Many studies have attempted to describe the dynamics of disease spreading. Despite the numerous models, most only analyze one aspect of a given model, such as the impact of the topology of a contagious network, or, the spreading rate of disease. Although useful, these types of analyses do not provide insights into how different models could be combined to better understand the phenomenon, or how the modeling decisions affect the dynamics of …
Transfer Learning With Convolutional Neural Networks Applied To Periocular Biometrics, Kushal Vangara
Transfer Learning With Convolutional Neural Networks Applied To Periocular Biometrics, Kushal Vangara
Theses and Dissertations
Biometrics technologies are designed for recognition of the unique physiological and behavioral features of an individual for identification and verification applications. There have been noteworthy advances in this field to recognize individuals based on their biometric trait(s) for authentication and verification applications. Despite these advances, there are many challenging issues which impede the potential of biometric systems and therefore limit the systems performance. Traditional biometric system design involves a selection of handcrafted features for recognition tasks which are not efficient as the size of the system scales up. Face and iris biometrics are reliable for many identification and verification applications …
Determination Of Local Elastic Modulus Of Soft Biomaterial Samples Using Afm Force Mapping, Faieza Saad Ejweada Bodowara
Determination Of Local Elastic Modulus Of Soft Biomaterial Samples Using Afm Force Mapping, Faieza Saad Ejweada Bodowara
Theses and Dissertations
Conventional methods of mechanical testing cannot measure properties of soft materials at the nanoscale. In fields such as tissue engineering, it is important to distinguish the bulk elastic modulus from the surface elastic modulus and to characterize the spatial distribution of material with non-uniform stiffness. One of the important new methods of testing is the force mapping using the atomic force microscope. The existing force mapping approaches often suffer from omitting important effects that might result in artifacts. The most important effects include taking into account sample’s adhesion and viscoelasticity and considering more realistic probe shapes. In this work, we …