IEEE

A Framework for Expansion Planning of Data Centers in Electricity and Data Networks Under Uncertainty

Abstract: This paper presents the expansion planning for data centers and data routes in the data and electricity networks considering the uncertainties in the planning horizon to ensure an acceptable ...
IEEE

A Reconfigurable Ultrasound Transceiver ASIC With

Abstract: This paper presents an ultrasound transceiver application-specific integrated circuit (ASIC) designed for 3-D ultrasonic imaging of the carotid artery. This application calls for an array of ...
IEEE

State Feedback Control for a PM Hub Motor Based on Gray Wolf Optimization Algorithm

Abstract: This paper presents an optimal control strategy for a permanent-magnet synchronous hub motor (PMSHM) drive using the state feedback control method plus the gray wolf optimization (GWO) ...
IEEE

Novel Wavelet Threshold Denoising Method to Highlight the First Break of Noisy Microseismic Recordings

Abstract: We proposed a novel wavelet threshold denoising method based on the discrete wavelet transform for noisy microseismic recordings. This algorithm can simultaneously suppress both the high- ...
IEEE

A Systematic Literature Review on Blockchain-Based Systems for Academic Certificate Verification

Abstract: In the past few years, there has been significant progress made in the area of blockchain. The use of blockchain technology has the potential to revolutionize the educational system by ...
IEEE

Target Reconstruction Based on 3-D Scattering Center Model for Robust SAR ATR

Abstract: This paper proposes a robust synthetic aperture radar (SAR) automatic target recognition method based on the 3-D scattering center model. The 3-D scattering center model is established ...
IEEE

Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey

Abstract: Deep learning is at the heart of the current rise of artificial intelligence. In the field of computer vision, it has become the workhorse for applications ranging from self-driving cars to ...
IEEE

Spin-Torque and Spin-Hall Nano-Oscillators

Abstract: This paper reviews the state of the art in spin-torque and spin-Hall-effect-driven nano-oscillators. After a brief introduction to the underlying physics, the authors discuss different ...
IEEE

First Flight-Testing of LoRa Modulation in Satellite Radio Communications in Low-Earth Orbit

Abstract: At present, the use of LoRa modulation in satellite radio communications and the construction of a CubeSat constellation for the satellite Internet of Things based on LoRa technology has ...
IEEE

Self-Adaptive Differential Evolution Algorithm With Zoning Evolution of Control Parameters and Adaptive Mutation Strategies

Abstract: The performance of the differential evolution (DE) algorithm is significantly affected by the choice of mutation strategies and control parameters. Maintaining the search capability of ...
IEEE

Online Self-Learning Stochastic Configuration Networks for Nonstationary Data Stream Analysis

Abstract: Stochastic configuration networks (SCNs) have been widely used as predictive models to model complex nonlinear systems due to their advantages in terms of easy-to-implement, fast learning ...
IEEE

Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection

Abstract: Image translation with convolutional neural networks has recently been used as an approach to multimodal change detection. Existing approaches train the networks by exploiting supervised ...