Electrical Engineering: Recent submissions
Now showing items 501-520 of 2623
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A survey on data center network topologies
( Springer , 2018 , Conference Paper)Data centers are the infrastructures that support the cloud computing services. So, their topologies have an important role on controlling the performance of these services. Designing an efficient topology with a high ... -
ScalNet: A novel network architecture for data centers
( IEEE , 2015 , Conference Paper)This paper presents the design, implementation and evaluation of ScalNet, novel network architecture for data centers. ScalNet is a cost-effective, high- performance and scalable interconnect with almost flat architecture. ... -
Sparsifying dictionary analysis for FIR MIMO channel-shortening equalizers
( IEEE , 2016 , Conference Paper)In this paper, we propose a general framework that transforms the problems of designing sparse finite-impulse response channel-shortening equalizers and target impulse response filters for multiple antenna systems into the ... -
Towards bandwidth guaranteed energy efficient data center networking
( Springer , 2015 , Article)The data center network connecting the servers in a data center plays a crucial role in orchestrating the infrastructure to deliver peak performance to users. In order to meet high performance and reliability requirements, ... -
Wiretap TDMA Networks with Energy-Harvesting Rechargeable-Battery Buffered Sources
( IEEE , 2019 , Article)We investigate the physical-layer security of an uplink wireless time-division multiple-access channel with energy-harvesting source nodes. We consider a set of source nodes equipped with rechargeable batteries and information ... -
Queue Discharge at Freeway On-Ramps Using Coordinated Operation of a Ramp Meter and an Upstream Traffic Signal
( Elsevier , 2020 , Conference Paper)Ramp metering is an effective way of maintaining optimum traffic conditions and mitigating congestion on freeways. Several strategies for ramp metering exist in the literature. They are typically based on the freeway traffic ... -
Machine Learning Screening of COVID-19 Patients Based on X-ray Images for Imbalanced Classes
( IEEE , 2021 , Conference Paper)COVID-19 is a virus that has infected more than one hundred and fifty million people and caused more than three million deaths by 13th of Mai 2021 and is having a catastrophic effect on the world population's safety. ... -
LCDnet: a lightweight crowd density estimation model for real-time video surveillance
( Institute for Ionics , 2023 , Article)Automatic crowd counting using density estimation has gained significant attention in computer vision research. As a result, a large number of crowd counting and density estimation models using convolution neural networks ... -
Crowd Density Estimation using Imperfect Labels
( IEEE , 2023 , Conference Paper)Density estimation is one of the most widely used method for crowd counting in which a deep learning model learns from head annotated crowd images to estimate crowd density in unseen images. Typically, the learning performance ... -
Sparsity-Based Joint NBI and impulse noise mitigation in hybrid PLC-Wireless transmissions
( IEEE , 2018 , Article)We propose a new sparsity-aware framework to model and mitigate the joint effects of narrow-band interference (NBI) and impulsive noise (IN) in hybrid powerline and unlicensed wireless communication systems. The proposed ... -
Exploiting Sparsity in Amplify-and-Forward Broadband Multiple Relay Selection
( IEEE , 2019 , Article)Cooperative communication has attracted significant attention in the last decade due to its ability to increase the spatial diversity order with only single-antenna nodes. However, most of the techniques in the literature ... -
A Survey on Mobile Edge Computing for Video Streaming: Opportunities and Challenges
( IEEE , 2022 , Article)5G communication brings substantial improvements in the quality of service provided to various applications by achieving higher throughput and lower latency. However, interactive multimedia applications (e.g., ultra high ... -
Lascada: A novel scalable topology for data center network
( IEEE , 2020 , Article)The growth of cloud-based services is mainly supported by the core networking infrastructures of large-scale data centers, while the scalability of these services is influenced by the performance and dependability ... -
Performance and energy optimization of building automation and management systems: Towards smart sustainable carbon-neutral sports facilities
( Elsevier Ltd , 2022 , Article Review)Sports facilities (SFs) consume massive energy given their unique demand profiles and operation requirements. Intelligent and effective solutions are necessary to tackle the matter of facilities’ sustainability and efficiency. ... -
Modified Particle Filters for Detection of False Data Injection Attacks and State Estimation in Networked Nonlinear Systems
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Networked control systems which transfer data over communication networks may suffer from malicious cyber attacks by injecting false data to the transferred information. Such attacks can cause performance degradation of ... -
Security Analysis of Merging Control for Connected and Automated Vehicles
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)Securing traffic flows in internet of vehicles (IoV) environments for connected and automated vehicles (CAVs) is a critical task as it should be done in real-time to allow vehicles' controllers engagement on time. In this ... -
Data-driven fault detection and isolation of nonlinear systems using deep learning for Koopman operator
( ISA - Instrumentation, Systems, and Automation Society , 2023 , Article)This paper proposes a data-driven actuator fault detection and isolation approach for the general class of nonlinear systems. The proposed method uses a deep neural network architecture to obtain an invariant set of basis ... -
Data-Driven Koopman Operator Based Cyber-Attacks for Nonlinear Control Affine Cyber-Physical Systems
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)This paper studies the data-driven implementation of stealthy cyber-attacks for a class of nonlinear cyber-physical systems (CPS). In particular, we consider and study zero dynamics and covert cyber-attacks. By utilizing ... -
Data-driven sensor fault detection and isolation of nonlinear systems: Deep neural-network Koopman operator
( John Wiley and Sons Inc , 2023 , Article)This paper proposes a data-driven sensor fault detection and isolation approach for the general class of nonlinear systems. The proposed method uses deep neural network architecture to obtain an invariant set of basis ... -
Integrated Multi-Criteria Model for Long-Term Placement of Electric Vehicle Chargers
( Institute of Electrical and Electronics Engineers , 2022 , Article)Based on the global greenhouse gas (GHG) emissions targets, governments all over the world are speeding up the adoption of electric vehicles (EVs). However, one of the key challenges in designing the novel EV system is to ...