Computer Science and Automation (CSA): Recent submissions
Now showing items 121-140 of 531
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Optical edge defection based image segementation algorithms
The work reported in this thesis primarily addresses edge detection algorithms in noisy images. The subjective errors that are inevitable in preprocessing and postprocessing generally used in edge detection cause errors ... -
Algorithms for testing planarity of chordal graphs and hamiltonicity of planar chordal graphs.
Design and analysis of graph algorithms is an active research area in Computer Science. Designing efficient algorithms for graph problems is both challenging and rewarding from the point of view of theory and applications. ... -
Pattern recognition schemes involving feature measurment and random classification costs
The central theme of this thesis is the study of the effects of costs on the design and operation of statistical pattern recognition schemes. An analysis of Bayesian pattern recognition including feature measurement costs ... -
Performance evaluation of backbone technologies in distributed systems
The backbone of a distributed system is the interior-most part of the communication network which carries traffic generated from several sources. Applications such as accessing the Internet, multimedia, etc., demand a lot ... -
A Multi-ring data flow architecture for parallel execution of logic programs.
The problems in Artificial Intelligence (AI) are highly search-intensive, requiring enormous amounts of computation time on a sequential computer. This has motivated researchers to design parallel computer architectures ... -
Networked information discovery and retrieval on the ERNET
Networked Information Discovery and Retrieval (NIDR) is the problem of locating information that is present on a network and making use of the located information. With the increase in volume and kind of information on ... -
Nodeterminism and communication in functional programming systems : A study in formal program development
The phenomenal advancement in VLSI technology witnessed in recent years has led to the economic feasibility of building computers which support massive parallelism in computation. Functional programming languages have great ... -
Approximate decoding over tail-biting trellises
This thesis proposes and implements soft-decision decoding algorithms on tail-biting trellises. For linear block codes, tail-biting trellises are interesting from a soft-decision decoding view-point, because of their reduced ... -
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 ... -
Fault-tolerant distributed algorithms for reconfiguration of rings using management tokens
In this thesis, we propose two algorithms using slightly different approaches to detect failures in a ring, and to reconfigure the ring using a combination of multithreading and management tokens which circulate around the ... -
A complier writing system based on affix grammars
Compiler Generators have become well-established tools in the production of a compiler. In general, a compiler generator uses a specification of a programming language at an abstract level as input and outputs the code for ... -
Evaluating cache performance under multiprogrammed workloads
Computer system performance is critically dependent on cache performance. Cache effectiveness is determined by factors such as program locality of reference and cache organization. Different approaches to cache performance ... -
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 ... -
A framework for timing analysis of event-driven applications
Event-driven applications, particularly those based on the publish–subscribe communication model are widely adopted to build responsive and decoupled applications in domains such as robotics, the Internet of Things ... -
Multi-timescale and Multi-agent Reinforcement Learning Algorithms
This thesis presents six novel works involving several research domains, such as reinforcement learning (RL)– both with or without function approximators including deep neural networks, multi-agent RL, stochastic optimization, ... -
CHARGE: Accelerating GNN Training via CPU Sampling in Heterogeneous CPU–GPU Environment
Graph Neural Networks (GNNs) have demonstrated exceptional performance across a wide range of applications, driving their widespread adoption. Current frameworks employ CPU and GPU resources—either in isolation or ... -
On Orbits and Border of Constant Read Circuits and Lower Bounds for Constant Depth Circuits
Two of the most common ways in which arithmetic circuits can be restricted is by requiring that they be constant read or constant depth. Constant depth circuits have received a lot of attention in the arithmetic circuit ... -
Design of AI-based Computational Framework for Accurate Detection of Polycystic Ovarian Disease and Ovarian Cancer Using Ultrasound, CT and Histopathology Images
Polycystic Ovarian Disease (PCOD) and Ovarian Cancer (OC) represent critical health challenges affecting millions of women globally. Early and accurate detection of these conditions is essential for effective clinical ... -
Controller Synthesis Techniques for Infinite-State Reactive Systems
Reactive systems are ubiquitous, with various use cases ranging from controllers for cyber-physical systems to programs that run on multipurpose computers. A system is reactive if it continually behaves in a specific manner ... -
IEDFuRL: A Black-box Fuzz Tester for IEC61850-based Intelligent Electronic Devices using Reinforcement Learning
Intelligent Electronic Devices (IEDs) are essential components of modern power grids, functioning as microprocessor-based controllers that facilitate communication, monitoring, protection, and control within Supervisory ...