Sub-communities within this community

Collections in this community

Recent Submissions

  • Secret sharing from correlated Gaussian random variables and public communication 

    Rana, Vidhi; Chou, Rémi; Kwon, Hyuck M. (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 

    Chou, Rémi (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 

    Shek, Chak Lam; Manoharan, Arun Kaarthick; Aravinthan, Visvakumar (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 

    Gandhi, Aishwarya; Morinec, Allen G.; Summerford, Zachary; Carlone, Mallory; Kulkarni, Chinmay; Prabhakar, Manoj C.; Verma, Tarun (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 

    Gomes, Thanappuhettige Nipuna Mihiranga; Nandasiri, Nimanthi Upeka; Don, Anton H.; Aravinthan, Visvakumar (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 

    Odeyomi, Olusola T.; Záruba, Gergely V. (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 ...
  • Safety critical networks using commodity SDNs 

    Kashinath, Ashish; Hasan, Monowar; Kumar, Rakesh; Mohan, Sibin; Bobba, Rakesh B.; Padhy, Smruti (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 

    Jiao, Chaoqun; Xu, Yang; Li, Xiang; Zhang, Xiumin; Zhao, Zhibin; Pang, Chengzong (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 

    Lahman, Richard T.; Odeyomi, Olusola T.; Kwon, Hyuck M.; Murrell, David A. (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 

    Lahman, Richard T.; Hulede, Ian Ellis L.; Kwon, Hyuck M.; Murrell, David A.; Lane, Steven A. (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 

    Chou, Rémi; Bloch, Matthieu R.; Yener, Aylin (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 

    Chaudhari, Meenal; Thapa, Niraj; Ismail, Hamid D.; Chopade, Sandhya; Caragea, Doina; Köhn, Maja; Newman, Robert H.; Kc, Dukka B. (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 

    Blumsack, Seth; Jewell, Ward T.; Smith, J. Charles (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 

    Thapa, Niraj; Chaudhari, Meenal; Iannetta, Anthony A.; White, Clarence; Kaushik, Roy; Newman, Robert H.; Hicks, Leslie M.; KC, Dukka B. (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 

    Asaduzzaman, Abu; Sibai, Fadi N.; Kanaya, Shigehiko; Altaf-Ul-Amin, Md; Jashim Uddin, Md; Chidella, Kishore K.; Mitra, Parthib (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 

    Asaduzzaman, Abu; Sibai, Fadi N.; Kanaya, Shigehiko; Altaf-Ul-Amin, Md; Jashim, Uddin M.; Chidella, Kishore K. (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 

    Cheraghi, Seyed Ali; Namboodiri, Vinod; Arsal, Güler (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 

    Das, Uddipan; Namboodiri, Vinod; He, Hongsheng (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 ...
  • The eight class of service model-An improvement over the five classes of service 

    Asaduzzaman, Abu; Kamalakannan, Prasanth; Sibai, Fadi N. (IEEE, 2021-05-10)
    Due to the massive growth in traffic data generation on networks, the existing Five Class of Service (5CoS) model is not adequate to guarantee the required Quality of Service (QoS). In this work, we introduce the 8CoS model ...
  • Impact of CUDA and OpenCL on parallel and distributed computing 

    Asaduzzaman, Abu S.; Trent, Alec; Osborne, S.; Aldershof, C.; Sibai, Fadi N. (IEEE, 2021-05-10)
    Along with high performance computer systems, the Application Programming Interface (API) used is crucial to develop efficient solutions for modern parallel and distributed computing. Compute Unified Device Architecture ...

View more