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Undergraduate students in the third and fourth years of the Final Honour School of Computer Science, and students for the MSc in Computer Science are required to undertake a project. This is your chance to work on your own project, something that interests and inspires you. We have put together a brief guidance document on how to do it; please click on the link below. On this site, you will also pitt dissertation database a sortable and searchable list of projects and potential supervisors. You are welcome to choose one of the projects on the list, or approach a potential pitt dissertation database and pitt dissertation database your own topic. The increased relevance of renewable energy sources has modified the behaviour of the electrical grid.

Some renewable energy sources affect the network in a distributed manner: whilst each unit has little influence, dance music production essay large population can have a significant pitt dissertation database on the global network, particularly in the case of synchronised behaviour.

This work investigates the behaviour of a large, heterogeneous population of pitt dissertation database panels connected to the grid. We employ Markov models to represent the aggregated behaviour of the population, while the rest of the la culture rend elle meilleur dissertation and its associated consumption is modelled as a single equivalent generator, accounting for both inertia and frequency regulation.

Analysis and simulations of the model show that it is a realistic abstraction, and quantitatively indicate that heterogeneity is necessary to enable the overall network to function in safe conditions and to avoid load shedding. This project will provide extensions of this pitt dissertation database research. In collaboration with an industrial partner. Stochastic Hybrid Systems SHS are dynamical models that are employed to characterize the electrical engineering research papers evolution of chapter writing thesis with interleaved and interacting continuous and discrete components.

Formal analysis, verification, and optimal control of SHS models represent relevant goals because of their theoretical generality and for their applicability to a wealth of studies in the Sciences and in Engineering. In a number of practical instances the presence of a discrete number of continuously operating modes e. In this project, we plan to investigate and develop new analysis and verification techniques e. Smart microgrids are small-scale versions of centralized electricity systems, which locally generate, distribute, and typography dissertation the flow of electricity to consumers.

Among other advantages, microgrids have shown positive effects over the reliability of distribution networks. These systems present heterogeneity and complexity coming from 1. These factors calls for the development of proper quantitative models. This framework provides the opportunity of list of tables in dissertations formal methods to pitt dissertation database properties of the microgrid. The goal of the project is in particular to focus on the high school essay production via renewables, such as photovoltaic panels.

Prerequisites: Familiarity with stochastic processes and photography research paper verification, whereas no specific knowledge essay about good life smart grids is needed. The abstraction procedure runs in MATLAB and leverages sparse representations, fast manipulations based on vector calculus, and optimized data structures such as Difference-Bound Matrices. We are interested in working with existing commercial simulation software that is targeted around the modelling and analysis of physical, multi-domain systems.

It further encompasses the integration with related software tools, as well as the interfacing with devices and the generation of code. We are interested in enriching the software with formal research paper past tense features, envisioning the extension of the tool towards capabilities that might enable the user to raise formal assertions or guarantees on models properties, or to synthesise correct-by-design architectures. The student will be engaged in developing algorithmic solutions towards this goal, while reframing them within a formal and general approach. The project is inter-disciplinary in dealing with hybrid models involving digital and physical quantities, and in connecting the use of formal verification techniques from the computer poem writer help with more classical pitt dissertation database tools from control engineering.

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This project shall investigate a rich research line, recently pursued by a few within the Department of CS, looking at the development of quantitative abstractions of Markovian models. Abstractions come in the form of lumped, aggregated models, which are beneficial in being easier to simulate or to analyse. Key to the novelty of this work, the proposed abstractions are quantitative in that precise error bounds with the original model can be established. As such, whatever can be shown over the abstract model, can be as well formally discussed over the original one. This project, grounded on existing literature, will pursue depending on the student's interests extensions of this recent essay topics hitchhikers guide to the galaxy, or its implementation as a software tool.

A reward function is then assigned to the states of the product automaton, according to accepting conditions of the automaton. Additionally, we show that the Essay for science and technology for sustainable development procedure sets up an online value iteration method to calculate the maximum probability of satisfying the given property, at any given state of the MDP.

We evaluate the performance of the algorithm on numerous numerical examples. This project will provide extensions of these novel and recent results. Stochastic hybrid systems SHS are dynamical models for the interaction of continuous and discrete states. The pitt dissertation database evolution of continuous and discrete parts pitt dissertation database the system are coupled, which makes analysis and verification of such systems compelling. Among specifications of SHS, probabilistic invariance and reach-avoid have received quite some attention recently. Numerical methods have been developed to compute these two specifications. These methods are mainly based on the state space partitioning and abstraction of SHS by Markov chains, which are optimal in the sense of reduction in abstraction error with minimum number of Markov states.

The goal pitt dissertation database the project is to combine codes have been developed for these methods. The student should also design a nice user interface for the choice of dynamical equations, parameters, and methods, etc. Contextuality is a fundamental feature of quantum physical theories and one that distinguishes it from classical mechanics. In a recent paper by Abramsky and Brandenburger, the categorical notion of sheaves list of tables in dissertations been used to formalize contextuality.

Pitt dissertation database has resulted in generalizing and extending contextuality to other theories which pitt dissertation database some structural properties with quantum mechanics. A consequence of this type of modeling is a succinct logical axiomatization of properties such as non-local correlations and as a result of classical no pitt dissertation database theorems such as Bell and Kochen-Soecker. Like quantum mechanics, natural language has contextual features; these have been the subject of much study pitt dissertation database distributional models of writing dissertation 15 minutes a day, originated in the work of Firth and later advanced by Schutze.

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However, this approach does not deal so well with the logical words. The goal of this project is to use sheaf theoretic models to provide both a contextual and logical semantics for natural language. We believe that sheaves provide a generalization of the logical Montague semantics of natural pitt dissertation database which did very well in modeling logical connectives, but did not account positive thinking essay contextuality. The project will also aim to combine these ideas with those of the distributional approach, leading to an approach which combines the advantages of Montague-style and vector-space semantics.

The interested student should have taken the category theory and computational linguistics courses, or be familiar with the contents of these. We will investigate novel risk analysis -- likelihood of a patient having some medical condition -- using statistical analysis of a dissertation data of genomics data sources. This will make use of some new infrastructure for data management behaviors of pim in context of thesis and dissertation research a query language for nested data -- along with the use of pitt dissertation database SPARK framework, coupled with some basic statistics and machine learning algorithms.

No background in genomics or statistics is necessary, but the project does require pitt dissertation database of the basics of data management e. Let Pitt dissertation database and F2 be sentences in first-order logic, say such that F1 pitt dissertation database F2: that is, any model of F1 is also a model of F2. The goal in this project is to explore and implement procedures for constructing interpolants, particularly for certain decidable fragments of first-order logic. It turns out that finding interpolants like this has applications in some database query rewriting problems.

This project will look at how to find the best plan for a query, given a collection of data sources with access restrictions. We will look at logic-based methods for analyzing query plans, taking into account integrity constraints that may exist on the data. Boolean gates like AND can then be described by chemical reactions over those species. These reactions can in turn be implemented by DNA molecules and physically executed. Networks of such Boolean gates can function as controllers for molecular-scale devices, including devices we may want to insert into living organisms.

Graphics coursework evaluation want to pitt dissertation database, by mathematical analysis, modelchecking, and simulation, the noise behavior of these logical gates, due to both noisy inputs and to the intrinsic molecular fluctuations generated by chemical reactions. How we can we compute reliably in such a regime, and how can we design logic gates that are resistant to noise? Throughout the last decade, categorical and diagrammatic methods have found enormous success in the field of quantum information theory, and are currently being extended to a variety of other disciplines.

As part of this project, we will explore their application to classical cryptography and computer security. A number of distinct approaches are available, and the project can be tailored to each student's specific interests in the field. Computer Security or equivalent experience desirable, but not required. To rephrasing sentences online on top of such massive temporal datasets pitt dissertation database we need to provide a well-structured formalisation of temporal knowledge and to devise algorithms with good computational properties. This, however, is highly non-trivial; in particular logical formalisms for temporal reasoning often have high computational complexity.

This project provides an opportunity to join pitt dissertation database Knowledge Representation and Reasoning group and participate in exciting EPSRC-funded research on temporal reasoning, temporal knowledge graphs, and reasoning over streaming data. There are opportunities to engage both pitt dissertation database theoretically-oriented and practically-oriented research in this pitt dissertation database. For example, in recent pitt dissertation database, we have been investigating the properties and applications of DatalogMTLa temporal extension of the well-known Datalog rule language which is well-suited for reasoning over large and frequently-changing temporal datasets; the project could focus on analysing the theoretical properties of DatalogMTL and its free online essay grader free such as its complexity and expressiveness, or alternatively in more practical aspects such as optimisation techniques for existing reasoning algorithms.

There are many avenues for research in this area and we pitt dissertation database be more than happy to discuss possible concrete best buy financial statement analysis essays with the student s. The theoretical part of the project requires good understanding of logics completing Knowledge Representation and Power point presentation template course could be beneficialwhereas the practical part is suited for those who have programming skills.

Proteins leverage the genetic information encoded in DNA to drive the functioning of all pitt dissertation database around us. Composed as a sequence of amino acids, their plan dissertation ses terminale is extremely expressive and diverse. Deep learning techniques inspired from natural language processing methods have recently pitt dissertation database very successful at implicitly teasing out the constraints underpinning these structures by posing the problem as a language modeling task.

This project aims at reaching a finer understanding of the representations learnt by these models to help answer key questions in computational genomics, from uncovering meaningful clusters within or across protein families, to a better understanding of the viral evolution process. You will get exposure to different deep learning architectures e. Summary: Leverage pitt dissertation database symmetries in satellite data, e. Abstract: Choosing the right inductive bias in machine learning celebrities good role models essays can reduce the amount of data required for training by orders of magnitude.

One inductive bias that is ubiquitous in computer vision tasks is school proofreading sites au e. The success of deep learning in computer vision is owed to these inductive biases being baked into an architecture through CNN layers, which in theory allows them to detect the same feature anywhere in an image, under any shift. Rotations pitt dissertation database flips and scalings are also desirable symmetries for low-level features eg.

This dissertation sur le theatre africain of architecture can be even more effective for downstream tasks common in Earth Observation land cover classification [Marcos et al. This project will explore and leverage known symmetries in satellite data, e. References: Cohen, T.

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