Browsing Division of Electrical, Electronics, and Computer Science (EECS) by Title
Now showing items 190-209 of 1710
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A Case for Protecting Huge Pages from the Kernel
(2018-01-01)Modern architectures support multiple size pages to facilitate applications that use large chunks of contiguous memory either for buffer allocation, application specific memory management, in-memory caching or garbage ... -
Chaos In Switched Mode D.C - D.C Converters
(2012-06-04) -
Character Recognition Using Optical Correlation
A study of effect of rotation and lateral displacement on the correlation outputs when two characters are correlated optically (Taking numerals as characters) has been carried out. Thus, the feasibility of optical correlation ... -
Characterization and Enhancement of Dysarthric Speech for Amyotrophic Lateral Sclerosis: A Source-Filter Perspective
Dysarthria is a motor speech disorder that affects different aspects of speech functions, like respiration, phonation, articulation, prosody, and resonance. It progressively compromises the intelligibility and naturalness ... -
Characterization and Modelling of Switching Dynamics of SiC MOSFETs
Silicon Carbide MOSFETs (SiC MOSFETs) fall into the class of wide band gap (WBG) power devices. These devices are commercially available in the voltage range of 600-3300V and superior over the state of the art Si insulated ... -
Characterization of Interconnections in Smart-X Applications
Smart-X applications are realized by interconnecting several objects to achieve real-time capability by improving safety, reliability, and efficiency. These interconnections can be broadly classified as physical connections ... -
Characterization of the Voice Source by the DCT for Speaker Information
(2017-12-10)Extracting speaker-specific information from speech is of great interest to both researchers and developers alike, since speaker recognition technology finds application in a wide range of areas, primary among them being ... -
Charge Density Wave-driven Carrier Transport in Layered Heterostructures
Metal-based electronics remain one of the longstanding goals of researchers to achieve ultra-fast and radiation-hard electronic circuits. Generally, metals are primarily used as passive conductors in modern electronics and ... -
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 ... -
Checking Compatability of Programs on Shared Data
(2018-07-28)A large software system is built by composing multiple programs, possibly developed independently. The component programs communicate by sharing data. Data sharing involves creation of instances of the shared data by one ... -
Checking Observational Purity of Procedures
We provide two static analysis approaches(using theorem proving) that check if a given (recursive) procedure behaves as if it were stateless, even when it maintains state in global variables. In other words, we check if ... -
Class Incremental Learning Across Diverse Data Paradigms
Class Incremental Learning (CIL) is a fundamental machine learning paradigm that enables models to continuously learn new classes over time, while retaining previously acquired knowledge. Despite significant progress, ... -
Classical Binary Codes And Subspace Codes in a Lattice Framework
(2017-10-10)The classical binary error correcting codes, and subspace codes for error correction in random network coding are two different forms of error control coding. We identify common features between these two forms and study ... -
Classifying Magnetic and Non-magnetic Two-dimensional Materials by Machine Learning
There has been a giant leap in technological advancement with the introduction of graphene and its remarkable properties after 2005. Since the inception of graphene, the new class of materials called 2D materials are ... -
Cluster Identification : Topic Models, Matrix Factorization And Concept Association Networks
(2013-09-17)The problem of identifying clusters arising in the context of topic models and related approaches is important in the area of machine learning. The problem concerning traversals on Concept Association Networks is of great ... -
Clustering For Designing Error Correcting Codes
(Indian Institute of Science, 2005-02-11)In this thesis we address the problem of designing codes for specific applications. To do so we make use of the relationship between clusters and codes. Designing a block code over any finite dimensional space may be thought ... -
Coaxial triggered vacum gap : switching and delay characteristics
Vacuum is an excellent insulator, albeit has a poorly defined intrinsic electric breakdown strength. Because of this, the ordinary vacuum gap with only two electrodes is unsuitable for switching applications. The electric ...