Research and Innovation Snippets
Electrical EngineeringOptimal Design and Control of Dual Active Bridge DC-DC Converters – Kaushik Basu, EE
Dual active bridge isolated DC-DC converters are now widely used in medium and high-power applications such as DC distribution systems, electric vehicle chargers, etc. A design methodology has been developed that minimizes current stress and enables lossless...
Uniqueness of rigid point-cloud registration – Kunal N Chaudhury, EE
A necessary and sufficient condition for uniquely registering a system of point clouds (whose positions are known in different coordinate systems) in a global coordinate system [1] has been obtained. This was done by relating the registration problem to the rigidity...
The value of timing information in event-triggered control – Pavankumar Tallapragada, EE
This work demonstrates that in event-triggered control, the timing of the events carries implicit information. In particular, we have found necessary and sufficient data rates, under bounded communication delays, for asymptotic stabilization of linear systems with...
Semi-Supervised Cross-Modal Retrieval With Label Prediction – Soma Biswas, EE
Cross-modal retrieval with image-text, sketch-image, etc. are gaining increasing importance due to abundance of data from multiple modalities, and applications like e-commerce, security, etc. In [1], we develop a novel approach which utilizes few labeled and remaining...
Deep Unsupervised Speech Representation Learning – Sriram Ganapathy, EE
The performance of speech systems is degraded in the presence of noise. The principle of modulation filtering attempts to remove the spectro-temporal modulations that are susceptible to noise. While traditional approaches use modulation filters that are hand-crafted,...
An Active Voltage Stabilizer for a DC Microgrid System – Vishnu M. Iyer, EE
DC microgrids (MG) are becoming popular as they offer several advantages over an AC MG. The interactions among different power converters in a DC MG can give rise to system-level stability challenges. Such undesirable interactions could be avoided by modifying the...
Teaching A GAN what not to learn – Chandra Sekhar Seelamantula , EE
Semi-supervised generative adversarial networks (GANs) consist of neural networks tasked with learning the underlying distributions of each class of a target dataset, usually images. We approach the GAN learning problem from a novel perspective, one that is motivated...
Multiclass- SVM Relay for Microgrid Protection – Jayachandra Shenoy, EE
RaGaVeRa Indic Technologies, a startup conceptualised at IISc by Ramakrishnan A G and Shiva Kumar H R and incubated by the Society for Innovation and development (SID) has developed the best ever quality TTS for Kannada, using about 44.8 hours of training data...
Accelerated Aging Studies on HVAC & HVDC Composite Insulators – B. Subba Reddy, EE
Accelerated aging studies are performed to study the estimated and residual life of transmission composite insulators in service and to establish better condition monitoring techniques. Several experimental facilities pertaining to the study as per international...
SiC Based Power Converter for High-Speed Switched Reluctance Machine
This work is motivated by the requirement of a high-speed generator system for direct-coupled operation with thermal turbomachinery operating at speeds in the range of 40,000 rpm to 60,000 rpm. This is a power electronic converter mainly built for controlling a...
Soil’s electrical resistivity counters the fury of the lightning current – Udaya Kumar, EE
In addition to its many benign effects, lightning is one of Mother Nature’s serious threats to life and property. Extensive measurements in the field and well designed rocket experiments have enriched our knowledge of lightning. However, there are many mysteries of...
Deep-Interpolation: Fusion of multiple interpolations and CNN to obtain super-resolution -A. G. Ramakrishnan, EE
Architectures have been proposed that learn end‐to‐end mapping functions to improve the spatial resolution of natural images. Two arechitectures are proposed. The first one formulates a nonlinear combination of image interpolation techniques using a convolutional...
Image reconstruction from sparse Fourier samples using adaptive regularization – Muthuvel Arigovindan, EE
Magnetic resonance imaging (MRI) is one of the most important medical imaging modalities owing to its non-invasiveness. To effectively use it to study fast physiological processes, it has to be operated in sparse-sampling mode such that it measures only a small...
Transient Stability of Grid Connected Photovoltaic Generations – Sarasij Das, EE
To reduce carbon emissions into the environment, some of the conventional Synchronous Generations (SGs) in power systems are being replaced by Photovoltaic (PV) generations. Absence of inherent rotational inertia, power electronic interface, and the control...
Human-Quality Kannada TTS using Transfer Learning on Tacotron2 and WaveGlow – A. G. Ramakrishnan, EE
RaGaVeRa Indic Technologies, a startup conceptualised at IISc by Ramakrishnan A G and Shiva Kumar H R and incubated by the Society for Innovation and development (SID) has developed the best ever quality TTS for Kannada, using about 44.8 hours of training data...