Results 31 to 40 of about 3,640,313 (369)

Energy-efficient on-node signal processing for vibration monitoring [PDF]

2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2014
In recent years, the use of wireless sensor networks for vibration monitoring is emphasized, because of its capability to continuously monitor at hard-to-reach locations of complex machines. Low power consumption is one of the main requirements for the sensor nodes in continuous and long-term vibration monitoring.
Andrea Sanchez Ramirez, Berend Jan van der Zwaag, Paul J.M. Havinga, Nirvana Meratnia, Vignesh Raja Karuppiah Ramachandran   +4 more
openaire   +3 more sources

Event-Driven Coulomb Counting for Effective Online Approximation of Li-Ion Battery State of Charge

Energies, 2020
Lithium-ion batteries are deployed in a range of modern applications. Their utilization is evolving with the aim of achieving a greener environment.
Saeed Mian Qaisar
doaj   +1 more source

Finite‐time dissipative control for time‐delay Markov jump systems with conic‐type non‐linearities under guaranteed cost controller and quantiser

IET Control Theory & Applications, 2021
For a class of conic‐type non‐linear time‐delay Markov jump systems, the asynchronous dissipative output feedback controller based on the guaranteed cost control and quantiser is designed in this study. In real applications, the system and the controller
Xiang Zhang, Yanyan Yin, Hai Wang, Shuping He   +3 more
doaj   +1 more source

ADC Nonlinearity Correction for the Majorana Demonstrator [PDF]

, 2021
Imperfections in analog-to-digital conversion (ADC) cannot be ignored when signal digitization requirements demand both wide dynamic range and high resolution, as is the case for the Majorana Demonstrator 76Ge neutrinoless double-beta decay search ...
Abgrall, N, Aguilar, DH, Allmond, JM, Arnquist, IJ, Avignone, FT, Barabash, AS, Barton, CJ, Bertrand, FE, Bos, B, Busch, M, Buuck, M, Caldwell, TS, Campbell, CM, Chan, YD, Christofferson, CD, Chu, P, Clark, ML, Crawford, HL, Cuesta, C, Detwiler, JA, Drobizhev, A, Edwins, DW, Efremenko, Y, Ejiri, H, Elliott, SR, Gilliss, T, Giovanetti, GK, Green, MP, Gruszko, J, Guinn, IS, Guiseppe, VE, Haufe, CR, Hegedus, RJ, Henning, R, Hoppe, EW, Hostiuc, A, Kidd, MF, Kim, I, Kouzes, RT, Lopez, AM, Lopez-Castano, JM, Martin, EL, Martin, RD, Massarczyk, R, Meijer, SJ, Mertens, S, Myslik, J, Oli, TK, Othman, G, Pettus, W, Poon, AWP, Radford, DC, Rager, J, Reine, AL, Rielage, K, Ruof, NW, Shanks, B, Stortini, MJ, Tedeschi, D, Varner, RL, Vasilyev, S, White, BR, Wilkerson, JF, Wiseman, C, Xu, W, Yu, CH, Zhu, BX   +66 more
core   +3 more sources

Overview of Signal Processing and Machine Learning for Smart Grid Condition Monitoring

Electronics, 2021
Nowadays, the main grid is facing several challenges related to the integration of renewable energy resources, deployment of grid-level energy storage devices, deployment of new usages such as the electric vehicle, massive usage of power electronic ...
E. Elbouchikhi, M. F. Zia, M. Benbouzid, Soumia El Hani   +3 more
semanticscholar   +1 more source

MSP-MFCC: Energy-Efficient MFCC Feature Extraction Method With Mixed-Signal Processing Architecture for Wearable Speech Recognition Applications

IEEE Access, 2020
Feature extraction is an essential part of automatic speech recognition (ASR) to compress raw speech data and enhance features, where conventional implementation methods based on the digital domain have encountered energy consumption and processing speed
Qin Li, Yuze Yang, T. Lan, Huifeng Zhu, Qi Wei, F. Qiao, Xinjun Liu, Huazhong Yang   +7 more
semanticscholar   +1 more source

Full reconstruction of simplicial complexes from binary contagion and Ising data

Nature Communications, 2022
Data-driven recovery of topology is challenging for networks beyond pairwise interactions. The authors propose a framework to reconstruct complex networks with higher-order interactions from time series, focusing on networks with 2-simplexes where social
Huan Wang, Chuang Ma, Han-Shuang Chen, Ying-Cheng Lai, Hai-Feng Zhang   +4 more
doaj   +1 more source

Power spectral density estimation for wireless fluctuation enhanced gas sensor nodes [PDF]

, 2014
Fluctuation enhanced sensing (FES) is a promising method to improve the selectivity and sensitivity of semiconductor and nanotechnology gas sensors.
Gingl, Zoltan, Mingesz, Robert, Vadai, Gergely   +2 more
core   +2 more sources

Ultrathin crystalline-silicon-based strain gauges with deep learning algorithms for silent speech interfaces

Nature Communications, 2022
Designing an efficient platform that enables verbal communication without vocalization remains a challenge. Here, the authors propose a silent speech interface by utilizing a deep learning algorithm combined with strain sensors attached near the subject ...
Taemin Kim, Yejee Shin, Kyowon Kang, Kiho Kim, Gwanho Kim, Yunsu Byeon, Hwayeon Kim, Yuyan Gao, Jeong Ryong Lee, Geonhui Son, Taeseong Kim, Yohan Jun, Jihyun Kim, Jinyoung Lee, Seyun Um, Yoohwan Kwon, Byung Gwan Son, Myeongki Cho, Mingyu Sang, Jongwoon Shin, Kyubeen Kim, Jungmin Suh, Heekyeong Choi, Seokjun Hong, Huanyu Cheng, Hong-Goo Kang, Dosik Hwang, Ki Jun Yu   +27 more
doaj   +1 more source

A new hybrid method to estimate the single-diode model parameters of solar photovoltaic panel

Energy Conversion and Management: X, 2022
Today, photovoltaic (PV) panels represent a large part of total power generation. Photovoltaic cells and modules parameter estimation is a relevant field of research that plays a critical role in PV system modeling and simulation.
Souad Lidaighbi, Mustapha Elyaqouti, Dris Ben Hmamou, Driss Saadaoui, Khalid Assalaou, Elhanafi Arjdal   +5 more
doaj   +1 more source