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Optimal Determination of Respiratory Airflow Patterns for a General Multicompartment Lung Mechanics System with Nonlinear Resistance and Compliance Parameters
(
American Society of Mechanical Engineers (ASME)
, 2015 , Article)
In this paper, we develop a framework for determining optimal respiratory airflow patterns for a multicompartment lung mechanics system with nonlinear resistance and compliance parameters. First, a nonlinear multicompartment ...
Optimization of probability of error in collaborative spectrum sensing of time-limited cognitive radio networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
We study the probability of error optimization problem in collaborative spectrum sensing (CSS) with limited time resources in cognitive radio (CR) networks. The frame structures for sensing and data transmission, if the ...
A hybrid TDMA-MAC cooperative relaying scheme: Stability and delay analysis
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
We consider a cooperative relaying system with any number of source terminals, one shared relay, and a common destination. We assume a slotted time division multiple access (TDMA) framework in which each source terminal ...
Optimization of chiral lattice based metastructures for broadband vibration suppression using genetic algorithms
(
Academic Press
, 2016 , Article)
One of the major challenges in civil, mechanical, and aerospace engineering is to develop vibration suppression systems with high efficiency and low cost. Recent studies have shown that high damping performance at broadband ...
DistPrivacy: Privacy-Aware Distributed Deep Neural Networks in IoT surveillance systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
With the emergence of smart cities, Internet of Things (IoT) devices as well as deep learning technologies have witnessed an increasing adoption. To support the requirements of such paradigm in terms of memory and computation, ...
Distributed CNN Inference on Resource-Constrained UAVs for Surveillance Systems: Design and Optimization
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Unmanned aerial vehicles (UAVs) have attracted great interest in the last few years owing to their ability to cover large areas and access difficult and hazardous target zones, which is not the case of traditional systems ...
RL-PDNN: Reinforcement Learning for Privacy-Aware Distributed Neural Networks in IoT Systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Due to their high computational and memory demand, deep learning applications are mainly restricted to high-performance units, e.g., cloud and edge servers. Particularly, in Internet of Things (IoT) systems, the data ...
On the joint scheduling and intra-cell interference coordination in multi-relay LTE uplink
(
IEEE
, 2012 , Conference Paper)
The relay-assisted Long Term Evaluation (LTE) cellular system is one of the most promising technologies to enhance the throughput and coverage of the access network. Injection of relays in a cell opens many issues of ...
QoE-Aware Resource Allocation for Crowdsourced Live Streaming: A Machine Learning Approach
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
Driven by the tremendous technological advancement of personal devices and the prevalence of wireless mobile network accesses, the world has witnessed an explosion in crowdsourced live streaming. Ensuring a better viewers ...
Interference-based optimal power-efficient access scheme for cognitive radio networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
In this paper, we propose a new optimization-based access strategy of multi-packet reception (MPR) channel for multiple secondary users (SUs) accessing the primary user (PU) spectrum. We devise an analytical model that ...