Electrical Engineering and Computer Science
In 2021, Department of Electrical Engineering and Computer Science was reorganized into two departments: the School of Computing and Department of Electrical and Computer Engineering. The SOAR communities were created for the new departments are:
Sub-communities within this community
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EECS Faculty Scholarship
publications of EECS faculty
Collections in this community
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EECS Graduate Student Conference Papers
This collection includes research papers, reports, and presentations of graduate students. -
EECS Theses and Dissertations
Collection of Master's theses and Ph.D. dissertations completed at the Dept. of Electrical Engineering and Computer Science
Recent Submissions
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Secret sharing from correlated Gaussian random variables and public communication
(IEEE, 2021-04-11)We study a secret sharing problem, where a dealer distributes shares of a secret among a set of participants under the constraints that (i) authorized sets of users can recover the secret by pooling their shares, (ii) ... -
Pairwise oblivious transfer
(IEEE, 2021-04-11)We consider oblivious transfer between one client and two non-colluding servers that store independent contents. The client requests one file from each server such that (i) the servers do not learn the file selection of ... -
Optimization of electric vehicle charging schedule using distributed network computing
(IEEE, 2021-04-11)The significant growth in the number of electric vehicles indicates an increased demand on the power distribution system, specifically on the low-voltage residential network. Without a well-organized schedule for charging ... -
Teaching protective relaying using a portable relay training laboratory
(IEEE, 2021-04-11)This paper presents an original portable protective relay training laboratory aimed at teaching power systems students protective relaying to make them “Ready-to-Go Engineers” for working in the power systems industry. The ... -
Demand side management for residential consumers considering distribution system requirements
(IEEE, 2021-04-11)One of the focus areas of the smart-grid initiative is the residential level demand response. Recent surveys have analyzed price-responsive demand response optimization, mathematical modeling of demand response, responsive ... -
Differentially-private federated learning with long-term budget constraints using online Lagrangian descent
(IEEE, 2021-05-10)This paper addresses the problem of time-varying data distribution in a fully decentralized federated learning setting with budget constraints. Most existing work cover only fixed data distribution in the centralized ... -
Design and implementation of a remote assistance application for persons with visual impairments
(Wichita State University, 2021-07)Individuals who are Blind or Visually Impaired (BVI) confront numerous problems when completing regular duties or exploring new places. Getting assistance from strangers is not always desirable in such situations. With ... -
Advanced control strategies of PMSM based wind energy conversion systems
(Wichita State University, 2021-07)Wind energy conversion system (WECS) is a system helps to produce the electrical energy by transforming the incoming air stream. This system has two basic steps. First step is the mechanical power which comes from the ... -
Safety critical networks using commodity SDNs
(IEEE, 2021-05-05)Safety-critical networks often have stringent real-time requirements; they must also be resilient to failures. In this paper, we propose the RealFlow framework that uses commodity software-defined networks (SDNs) to realize ... -
Electromagnetic shielding techniques in the wireless power transfer system for charging inspection robot application
(Elsevier, 2021-07-05)Aiming at eliminating the leakage of magnetic fields from the wireless power transfer (WPT) system, the structural and working characteristics of the WPT system for the inspection robot are analyzed and an electromagnetic ... -
An optimal approach for maximizing the sum rate
(IEEE, 2021-03-06)This paper considers a different approach from the conventional way of maximizing sum rate where the bandwidth is always assumed to be shared evenly among users in a power-constrained single-input single-output (SISO) ... -
Conversion from channel attenuation to data rate estimation
(IEEE, 2021-03-06)In an early development state for a wireless terrestrial or satellite communication system, channel path attenuation data is typically collected first under an additive white Gaussian noise (AWGN) in the line of sight by ... -
Universal covertness for discrete memoryless sources
(IEEE, 2021-06-21)Consider a sequence $X^{n}$ of length n emitted by a Discrete Memoryless Source (DMS) with unknown distribution $p_{X}$. The objective is to construct a lossless source code that maps $X^{n}$ to a sequence \widehat {Y}^{m} ... -
DTL-DephosSite: Deep transfer learning based approach to predict dephosphorylation sites
(Frontiers Media, 2021-06)Phosphorylation, which is mediated by protein kinases and opposed by protein phosphatases, is an important post-translational modification that regulates many cellular processes, including cellular metabolism, cell migration, ... -
Minitrack on distributed, renewable and mobile resources
(IEEE Computer Society, 2021)Introduction to the conference mini-track on modeling, simulation and hardware developments; economic and system analyses; and studies of individual and organizational behavior and decision making as pertaining to ... -
A deep learning based approach for prediction of Chlamydomonas reinhardtii phosphorylation sites
(Nature, 2021-06-15)Protein phosphorylation, which is one of the most important post-translational modifications (PTMs), is involved in regulating myriad cellular processes. Herein, we present a novel deep learning based approach for ... -
Image analysis with machine learning algorithms to assist breast cancer treatment
(Springer, Cham, 2021-06-06)Real-time imaging technology has the potential to be applied to many complex surgical procedures such as those used in treating people with breast cancer. Key delaying factors for the successful development of real-time ... -
Image analysis with machine learning algorithms to assist breast cancer treatment
(Springer, Cham, 2021-06-06)Real-time imaging technology has the potential to be applied to many complex surgical procedures such as those used in treating people with breast cancer. Key delaying factors for the successful development of real-time ... -
Cityguide: a seamless indoor-outdoor wayfinding system for people with vision impairments
(IEEE, 2021-05-25)GPS accuracy is poor in indoor environments and around buildings. Thus, reading and following signs still remains the most common mechanism for providing and receiving wayfinding information in such spaces. This puts ... -
Pathlookup: A deep learning-based framework to assist visually impaired in outdoor wayfinding
(IEEE, 2021-05-25)Reading and following visual signs remains the predominant mechanism for navigation and receiving wayfinding information in areas without accurate GPS coverage. This puts people who are blind or visually impaired (BVI) at ...
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