Division of Electrical, Electronics, and Computer Science (EECS): Recent submissions
Now showing items 301-320 of 1303
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nuKSM: NUMA-aware Memory De-duplication for Multi-socket Servers
An operating system's memory management has multiple goals, e.g. reducing memory access latencies, reducing memory footprint. These goals can conflict with each other when independent subsystems optimize them in silos. ... -
Design and Development of Opto-ThermoAcoustic (OTA) Measurement System to Differentiate Cancer from Adjacent Normal Breast Biopsy Tissue
Breast cancer is the most common cancer accounting for almost 11.7% of all cancer incidences and 6.9% of cancer-related deaths globally in 2020, as per Globocan 2020 report. Diagnosis of breast cancer requires microscopic ... -
Solving Inverse Problems Using a Deep Generative Prior
In an inverse problem, the objective is to recover a signal from its measurements, given the knowledge of the measurement operator. In this thesis, we address the problems of compressive sensing (CS) and compressive phase ... -
A Novel Neural Network Architecture for Sentiment-oriented Aspect-Opinion Pair Extraction
Over the years, fine-grained opinion mining in online reviews has received great attention from the NLP research community. It involves different tasks such as Aspect Term Extraction (ATE), Opinion Term Extraction (OTE), ... -
Addressing Energy and Performance Related Challenges in Networked Embedded Systems
Networked Embedded Systems comprise of spatially and functionally distributed nodes that are interconnected with one another and with the environment to achieve certain goals. The nodes are connected to one another through ... -
Approximation Algorithms for Geometric Packing Problems
We study approximation algorithms for the geometric bin packing problem and its variants. In the two-dimensional geometric bin packing problem (2D GBP), we are given n rectangular items and we have to compute an axis-parallel ... -
A Framework for Privacy-Compliant Delivery Drones
We present Privaros, a framework to enforce privacy policies on drones. Privaros is designed for commercial delivery drones, such as the ones that will likely be used by Amazon Prime Air. Such drones visit a number of host ... -
Locally Reconstructable Non-malleable Secret Sharing
Non-malleable secret sharing (NMSS) schemes, introduced by Goyal and Kumar (STOC 2018), ensure that a secret m can be distributed into shares m1,...,mn (for some n), such that any t (a parameter <= n) shares can be ... -
Structured Sparse Signal Recovery for mmWave Channel Estimation: Intra-vector Correlation and Modulo Compressed Sensing
This thesis contributes new theoretical results and recovery algorithms for the area of sparse signal recovery motivated by applications to the problem of channel estimation in mmWave communication systems. The presentation ... -
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 ... -
New Algorithmic and Hardness Results in Learning, Error Correcting Codes and Constraint Satisfaction Problems
Approximation algorithms are a natural way to deal with the intractability barrier that is inherent in many naturally arising computational problems. However, it is often the case that the task of solving the approximation ... -
Knowledge-driven training of deep models for better reconstruction and recognition
This thesis aims to efficiently solve many interesting and challenging problems by incorporating appropriate image processing techniques in a deep learning framework. We have proposed, implemented and tested efficient ... -
Speech enhancement using deep mixture of experts
Speech enhancement is at the heart of many applications such as speech com- munication, automatic speech recognition, hearing aids etc. In this work, we consider the speech enhancement under the framework of multiple ... -
Binaural Source Localization using subband reliability and interaural time difference patterns
Machine localization of sound sources is necessary for a wide range of appli- cations, including human-robot interaction, surveillance and hearing aids. Robot sound localization algorithms have been proposed using ... -
Dynamics of a Stratified Population of Optimum Seeking Agents on a Network
Very large scale multi-agent systems occur both naturally and in engineering applications. In many of these systems, the agents are either selfish or act with varying levels of coordination. Understanding the evolution of ... -
Battle of Bandits: Online Learning from Subsetwise Preferences and Other Structured Feedback
The elicitation and aggregation of preferences is often the key to making better decisions. Be it a perfume company wanting to relaunch their 5 most popular fragrances, a movie recommender system trying to rank the most ... -
Novel Reinforcement Learning Algorithms and Applications to Hybrid Control Design Problems
The thesis is a compilation of two independent works. In the first work, we develop novel weight assignment procedure, which helps us develop several schedule based algorithms. Learning the value function of a given policy ... -
Design and Development of ECA based Routing Protocols for Ubiquitous Network
The ubiquitous network is a heterogeneous wireless network comprising of computing devices such as laptops, smartphones, tablets, PDAs, etc., are connected to any device at any time, anywhere that enabling mobile users to ... -
Towards Effcient Privacy-Preserving Two-Party k-Means Clustering Protocol
Two-party data mining is a win-win game if played with a guarantee of data privacy from each other. This guarantee is provided by the use of cryptographic techniques in designing the two-party protocol. The need to ... -
Resource Allocation Schemes for 4G/5G based Interactive Multimedia Networks
Emerging interactive multimedia applications such as Virtual Reality (VR) and Augmented Reality are upcoming important applications in healthcare, autonomous transport, education, tactile internet, and industrial automation. ...