Browsing Computer Science and Automation (CSA) by Title
Now showing items 444-463 of 531
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SAFIUS - A secure accountable filesystem over untrusted storage
With storage data requirements growing at around 40% every year, the entities that control the data are different from entities that consume the data. The drastic growth in storage requirements and the ubiquitous accessibility ... -
Scalable Low Power Issue Queue And Store Queue Design For Superscalar Processors
(2009-03-09)A Large instruction window is a key requirement to exploit greater Instruction Level Parallelism in out-of-order superscalar processors. Along with the instruction window size, the size of various other structures including ... -
Scalable Sprase Bayesian Nonparametric and Matrix Tri-factorization Models for Text Mining Applications
(2018-05-23)Hierarchical Bayesian Models and Matrix factorization methods provide an unsupervised way to learn latent components of data from the grouped or sequence data. For example, in document data, latent component corn-responds ... -
Scaling Blockchains Using Coding Theory and Verifiable Computing
The issue of scalability has been restricting blockchain from its widespread adoption. The current transaction rate of bitcoin is around seven transactions/second while its size has crossed the 300 GB mark. Although many ... -
Scaling Context-Sensitive Points-To Analysis
(2014-05-06)Pointer analysis is one of the key static analyses during compilation. The efficiency of several compiler optimizations and transformations depends directly on the scalability and precision of the underlying pointer analysis. ... -
Scaling the performance of web servers using a greedy data buffering and caching strategy
Pervasive use of the web has placed extreme performance demands on its key architectural elements of which the web server is the most critical. A web server is a highly I/O intensive application, and I/O data handling ... -
Secure Auctions with Rational Parties
Sealed bid auctions are used to allocate a resource among a set of interested parties. Traditionally, auctions need the presence of a trusted auctioneer to whom the bidders provide their private bid values. Existence of ... -
Secure Computation Protocol Suite for Privacy-Conscious Applications
As an alternative to performing analytics in the clear, there is an increasing demand for developing privacy-preserving solutions that aim to protect sensitive data while still allowing for its efficient analysis. Among ... -
Secure ECom framework for small-communities
Universal reach of the web has made it possible for merchants to reach their customers, and vice versa, through what has now come to be referred as Electronic Commerce, or ecom in short. Despite admitting the new opportunities ... -
Secure Vickrey Auctions with Rational Parties
In this work, we construct a second price (Vickrey) auction protocol (SPA), which does not require any auctioneers and ensures total privacy in the presence of rational parties participating in the auction. In particular, ... -
Security of Post-Quantum Multivariate Blind Signature Scheme: Revisited and Improved
Current cryptosystems face an imminent threat from quantum algorithms like Shor's and Grover's, leading us to post-quantum cryptography. Multivariate signatures are prominent in post-quantum cryptography due to their fast, ... -
Semantic Analysis of Web Pages for Task-based Personal Web Interactions
(2017-11-27)Mobile widgets now form a new paradigm of simplified web. Probably, the best experience of the Web is when a user has a widget for every frequently executed task, and can execute it anytime, anywhere on any device. However, ... -
Semi-Supervised Classification Using Gaussian Processes
(2010-03-26)Gaussian Processes (GPs) are promising Bayesian methods for classification and regression problems. They have also been used for semi-supervised classification tasks. In this thesis, we propose new algorithms for solving ... -
Sentiment-Driven Topic Analysis Of Song Lyrics
(2015-08-17)Sentiment Analysis is an area of Computer Science that deals with the impact a document makes on a user. The very field is further sub-divided into Opinion Mining and Emotion Analysis, the latter of which is the basis for ... -
Sequential Decision Making with Risk, Offline Data and External Influence: Bandits and Reinforcement Learning
Reinforcement Learning (RL) serves as a foundational framework for addressing sequential decision-making problems under uncertainty. In recent years, extensive research in this domain has led to significant advancements ... -
Sharable instructable agent for information filtering
This thesis presents a sharable instructable agent for information filtering. It also proposes the use of network-based collaboration in huge distributed communities of personalized agents. These agents carry out the tasks ... -
Signcryption in a Quantum World
With recent advancements and research on quantum computers, it is conjectured that in the foreseeable future, sufficiently large quantum computers will be built to break essentially all public key cryptosystems currently ... -
Simulation Based Algorithms For Markov Decision Process And Stochastic Optimization
(2010-08-06)In Chapter 2, we propose several two-timescale simulation-based actor-critic algorithms for solution of infinite horizon Markov Decision Processes (MDPs) with finite state-space under the average cost criterion. On the ... -
Simulation based methods for optimization
In many engineering problems, one is often interested in optimizing a parameterized performance objective. If the objective function is analytically known and its derivatives easily computable, then a number of methods ... -
Single and Multi-Agent Finite Horizon Reinforcement Learning Algorithms for Smart Grids
In this thesis, we study sequential decision-making under uncertainty in the context of smart grids using reinforcement learning. The underlying mathematical model for reinforcement learning algorithms are Markov Decision ...