IEEE

Unscented filtering and nonlinear estimation

The extended Kalman filter (EKF) is probably the most widely used estimation algorithm for nonlinear systems. However, more than 35 years of experience in the estimation community has shown that is ...
IEEE

Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries

Abstract: Remaining useful life (RUL) prediction of lithium-ion batteries can assess the battery reliability to determine the advent of failure and mitigate battery risk. The existing RUL prediction ...
IEEE

Optimal Planning for Electricity-Hydrogen Integrated Energy System Considering Power to Hydrogen and Heat and Seasonal Storage

Abstract: For the future development of an integrated energy system (IES) with ultra-high penetration of renewable energy, a planning model for an electricity-hydrogen integrated energy system (EH-IES ...
IEEE

High-resolution frequency-wavenumber spectrum analysis

The output of an array of sansors is considered to be a homogeneous random field. In this case there is a spectral representation for this field, similar to that for stationary random processes, which ...
IEEE

A Theoretical Framework for Unsupervised Change Detection Based on Change Vector Analysis in the Polar Domain

Abstract: This paper addresses unsupervised change detection by proposing a proper framework for a formal definition and a theoretical study of the change vector analysis (CVA) technique. This ...
IEEE

A 40nm 2Mb ReRAM Macro with 85% Reduction in FORMING Time and 99% Reduction in Page-Write Time Using Auto-FORMING and Auto-Write Schemes

Abstract: This work proposes (1) an auto-forming (AF) scheme to shorten the macro forming time (TFM−M) and testing costs; (2) an auto-RESET (ARST) scheme to shorten page-RESET time (TW−PAGE−RST) for ...
IEEE

Learnability Enhancement for Low-Light Raw Image Denoising: A Data Perspective

Abstract: Low-light raw image denoising is an essential task in computational photography, to which the learning-based method has become the mainstream solution. The standard paradigm of the ...
IEEE

Adversarial Examples Against the Deep Learning Based Network Intrusion Detection Systems

Abstract: Deep learning begins to be widely applied in security applications, but the vulnerability of deep learning in front of adversarial examples raises people's concern. In this paper, we study ...
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

Observer-Based Adaptive Neural Network Trajectory Tracking Control for Remotely Operated Vehicle

Abstract: This paper focuses on the adaptive trajectory tracking control for a remotely operated vehicle (ROV) with an unknown dynamic model and the unmeasured states. Unlike most previous trajectory ...
IEEE

Self-Adaptive Generalized S-Transform and Its Application in Seismic Time–Frequency Analysis

Abstract: Achieving a proper time-frequency (TF) resolution is the key to extract information from seismic data using TF algorithms and characterize reservoir properties using decomposed frequency ...
IEEE

Survey on Visual Signal Coding and Processing With Generative Models: Technologies, Standards, and Optimization

Abstract: This paper provides a survey of the latest developments in visual signal coding and processing with generative models. Specifically, our focus is on presenting the advancement of generative ...