Computer Science and Automation (CSA): Recent submissions
Now showing items 101-120 of 531
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Deterministic dynamic race detection across program versions
Dynamic race detectors operate by analyzing execution traces of programs to detect races in multithreaded programs. As the thread interleavings influence these traces, the sets of races detected across multiple runs of ... -
Object cache : a dynamically configurable and energy efficient cache architecture for embedded systems
Object-oriented programming languages provide a rich set of features that provide significant software engineering benefits. The increased productivity provided by these features comes at a justifiable cost of complexity ... -
iSAN : An intelligent storage area network
A storage area network (SAN) is a high-speed special-purpose network that interconnects data storage devices and storage-consumers. Present day SANs, based on Fibre Channel or iSCSI, share a common deficiency: Neither of ... -
Fault tolerant locking for shared disk filesystems
Shared disk files ystems are crucial for providing direct, shared and high performance file system access on top of raw block based Storage Area Networks. One of the key components of a shared disk file system is a ... -
Some efficient algorithms for support vector mechines
This thesis proposes some efficient algorithms for training Support Vector Machines (SVMs) for large-scale datasets with emphasis on the regression problem. Training a support vector machine leads to solving a convex ... -
Estimation of software release times based on a queueing model for software testing
The development o f large-scale software systems is a complex and expensive process. The key to successful software projects is planning and estimation o f time frames for each phase o f the lifecycle. Testing plays a ... -
Learning From Examples Using Hierarchical Counterfactual Expressions
In this study, we develop algorithms for learning concepts from examples. Learning is the capability that allows a system to improve its performance. It involves the ability to correct errors, learn domain knowledge, ... -
Finite field transforms applicatons to cryptography and error free polynimial matrix computation
In this dissertation, we have presented the properties of finite field transforms and a few of their applications. We do not consider our study exhaustive, and we expect other applications to be developed soon. The most ... -
Fault tolerance in feedforward neural networks using minimax optimization
Neural computing is currently being proposed as a viable solution to several problems. The approach of neural computing is to capture the guiding principles that underlie the functioning of the human brain and apply them ... -
Frames as abstractions for efficient multimedia object retrieval
Multimedia Information Systems (MMISs) integrate various media types - text, audio, video, graphics, and animation - for machine-processable storage, retrieval, and presentation. These systems are characterized by complex ... -
Application of trust region on methods to learning in feed forward neural networks
This thesis presents a novel algorithm for training feed-forward neural networks, addressing the limitations of the widely used back-propagation and Quickprop algorithms. While Quickprop is significantly faster than standard ... -
Algorithmic and architectural solutions for scheduling task graphs on multiprocessors
Scheduling is a critical challenge in the design of multicomputer systems, especially for minimizing execution time of parallel programs represented as task graphs. This thesis presents both algorithmic and architectural ... -
Reason maintenance and logic
This thesis studies the theory and applications of recison maintenance from a logical perspective. First a series of exam ples introduces the concepts, structures and techniques of reason m aintenance. T he exam ples ... -
Specification environment for distributed real time systems
Real-time computer systems usually find applications in safety-critical areas. Thus, real-time systems need to be extremely reliable. However, most of the real-time systems are inherently "distributed" in nature. The ... -
Algorithms for some problems on trees and graphs
Design and analysis of graph algorithms is an active area of research in Computer Science. Trees form an important subclass of graphs and have vast applications. In this thesis, we present some new algorithmic results on ... -
A Cognitive science approach for modelling representational organization and learning in humans
Artificial intelligence (AI) is concerned with discovering intelligence in human mind and its application to the problems in real world. As a consequence it is associated with understanding the nature of human mind, that ... -
knowledge teaching : an alternative strategy for knowkedge-base development
The development of knowledge-based systems relies heavily on the transfer of human expertise into a structured knowledge base - a process known as knowledge acquisition or knowledge elicitation. This process is widely ... -
Systolic architectures for realistic 3-D graphics.
Computer Graphics has come a long way from its humble beginning of lin£ drawing displays in the early sixties to the present day extremely realistic, synthetic, and photography quality pictures. As a result, interactive ... -
Algorithmic knowledge for a knowledge-based clustering environment.
Clustering is a process of partitioning a given set of objects into meaningful groups. It has potential applications in many areas, including: 1.Image Segmentation, 2. Speech/speaker Classification, 2.ECG Classificati ... -
Artificial intelligence research RR-76 : Machine Visualization of three dimensional objects
Computer Simulation of One Aspect of Human Visual Perceptual Capabilities This simulation focuses on the human ability to visualize object views resulting from the rotation of known objects. The objects considered are ...