Article
Computer Science, Interdisciplinary Applications
Zhishen Huang, Stephen Becker
Summary: The study demonstrates that sketching can be used to compress simulation data and accurately estimate time autocorrelation and power spectral density, with higher accuracy compared to previous methods. Applying sketching to a molecular dynamics simulation of methanol showed that the estimate of spectral density is 90% accurate using only 10% of the data.
JOURNAL OF COMPUTATIONAL PHYSICS
(2021)
Article
Engineering, Mechanical
Yi-Ming Zhang, Zifeng Huang, Yong Xia
Summary: The paper proposes a new adaptive multi-taper method to estimate the power spectral density and coherence function of multivariate stationary processes. The method can automatically adjust the number of tapers at different frequency points, reducing bias and variance.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Mathematics
Alexander Froemming, Lars Haering, Andreas Czylwik
Summary: This study investigates the issue of peak-to-average-power ratio in multicarrier modulation techniques, utilizing the Bussgang theorem to separate distortion into correlated and uncorrelated noise, and approximating the power spectral density of uncorrelated clipping noise. The research shows that some noise power is located outside of the transmission bandwidth, which does not affect transmission quality.
Article
Engineering, Geological
P. R. Lekshmy, S. T. G. Raghukanth
Summary: This paper examines the utility of power spectral density (PSD) in ground motion prediction for hazard analysis, focusing on the energy calculation and structure independence of PSD. The study includes analysis of past earthquake ground motion PSDs and development of a hybrid genetic algorithm-neural network attenuation relationship. The proposed model is demonstrated by developing a uniform hazard power spectral density for Delhi with a return period of 2500 years.
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
(2021)
Article
Chemistry, Analytical
Ekaterina Babich, Sergey Scherbak, Ekaterina Lubyankina, Valentina Zhurikhina, Andrey Lipovskii
Summary: This paper considers the problem of optimizing the topology of metal structures for Surface Enhanced Raman Scattering (SERS) sensing. A model is developed to randomly distribute hemispheroidal particles on a glass substrate and estimate the SERS capabilities of the resulting structures. Power Spectral Density (PSD) analysis is applied to both simulated structures and atomic force microscope images, and compared with measured SERS signals to identify and select a structure topology that can provide maximum enhancement of Raman signal.
Article
Computer Science, Interdisciplinary Applications
Donghoon Jeong, Jongho Im, Young Min Kim
Summary: The study introduces a cosine-based variable bandwidth selection method to enhance the performance of nonparametric spectral density estimation under long-range dependence, showing superior performance in simulation studies and data examples.
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION
(2022)
Article
Chemistry, Physical
Adam Kalavsky, Adam Nieslony, Robert Hunady
Summary: This paper analyzes the influence of the Welch method on fatigue life estimation in the frequency domain. It examines the impact of parameters such as window size, weighting, and overlap on power spectral density (PSD) calculation and lifetime estimation. Four different reference PSD spectra are generated and tested to demonstrate the general validity of the conclusions. The study finds that the best configuration of Welch method parameters for fatigue calculations is selecting the smallest possible time window (up to 60% of observation length) and the largest possible overlap (at least 70% of window size).
Article
Engineering, Aerospace
Q. Wu, A. M. Du, G. Q. Wang
Summary: Based on the observation of the THEMIS satellites, this study statistically analyzes the impact of ion inflow velocity on the Power Spectral Density (p) of compressional and transverse components of the magnetic field using the superposed epoch method. The analysis shows that a modified scaling relationship p 1/4 C0Vc?flog10C1Vv? is more suitable to describe the relationship than p / f⠂a. The study emphasizes the key role of velocity in understanding magnetotail plasma sheet turbulence.
ADVANCES IN SPACE RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Byoungryul Oh, Sooyeon Kim, Duehee Lee
Summary: By considering the smoothing effect, we generate future scenarios for total wind power generation (WPG) of wind farms. The WPG is decomposed into periodic and non-periodic components, and the future scenarios are designed by modifying these components. The flexible resource adequacy is calculated using a new flexibility index and a recursive algorithm based on the simulated WPG in Texas and Australia.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2023)
Article
Engineering, Aerospace
Sharon Aol, Stephan Buchert, Edward Jurua, Luca Sorriso-Valvo
Summary: The spectral characteristics of ionospheric irregularities in the F region were analyzed using 16-Hz electron density data from Swarm satellites. The spectral indices showed a peak at -2.5, indicating a high occurrence of irregularities at the Equatorial Ionization Anomaly (EIA) belts. The spectral indices were sensitive to irregularity amplitude and exhibited a peak between 20:00 LT and 22:00 LT.
ADVANCES IN SPACE RESEARCH
(2023)
Article
Engineering, Electrical & Electronic
Kees A. Schouhamer Immink, Kui Cai
Summary: This study introduces a new method for designing spectral shaping block codes with a specified target spectrum, while analyzing the probability density function of uncoded n-symbol bipolar codewords. It presents estimates of redundancy and spectrum for spectral shaping codes with specified target spectral densities at different frequencies. Constructions of low-redundancy codes are shown to have suppressed low-frequency content and compare favorably with conventional dc-balanced codes used in consumer electronics.
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS
(2021)
Review
Automation & Control Systems
Chao Tang, Boyuan Du, Songwen Jiang, Zhong Wang, Xin-Jun Liu, Huichan Zhao
Summary: This review focuses on the high-frequency characteristics and applications of Dielectric elastomer actuators (DEAs), highlighting their advantages such as large strain, high energy density, and fast response. It discusses the basic concepts and metrics for high-frequency DEAs, reviews the materials used in high-frequency applications, and introduces strategies for extending the lifetime of DEAs. The review also presents dynamic modeling approaches for DEAs and summarizes important applications based on the high-frequency motions of DEAs.
ADVANCED INTELLIGENT SYSTEMS
(2023)
Article
Computer Science, Information Systems
Lingjun Niu, Feng Li
Summary: This article proposes a general modeling method for PEIE and addresses the error problem in spectrum sensing through an optimization function and a prior model. The iterative solution is found using the variational Bayesian inference algorithm. The simulation results demonstrate the superior performance of the proposed algorithm.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Optics
Yusheng Huang, Qirong Xiao, Dan Li, Jingtao Xin, Zehui Wang, Jiading Tian, Yulun Wu, Mali Gong, Lianqing Zhu, Ping Yan
Summary: A narrow linewidth monolithic fiber-Bragg-grating-based MOPA configuration fiber laser with high power spectral density was demonstrated, achieving an output power of 3010 W and a spectral 3-dB bandwidth of 103 pm. This is the highest PSD reported by an all-fiber FBG-based fiber laser.
OPTICS AND LASER TECHNOLOGY
(2021)
Article
Health Care Sciences & Services
Ludymila Ribeiro Borges, Ana Paula Bittar Britto Arantes, Eduardo Lazaro Martins Naves
Summary: Similar to short-term memory, working memory is unable to retain information for a long duration. Numerous studies have indicated that binaural beats (BB) can stimulate the brain and influence working memory function through auditory stimuli. While the literature lacks conclusive evidence on the effects of BB stimulation on memory, certain studies have demonstrated that gamma-BB stimulation (40 Hz) can enhance attentional focus and improve visual working memory. To gain a deeper understanding of the relationship between BB stimulation and memory, we conducted an electroencephalographic (EEG) analysis on 30 subjects in three phases - baseline, gamma-BB stimulation, and control stimulation, during resting state with closed eyes and while performing memory tasks. Both the EEG data and memory task performance were assessed. The findings revealed no significant changes in memory task performance or EEG data when comparing the experimental and control conditions. Therefore, we concluded that our gamma-BB stimulation parameters did not achieve brain entrainment as analyzed through EEG power spectral density (PSD) and memory task performance. As a result, we recommend that future studies also consider analyzing other aspects of EEG data, such as connectivity and correlations with task performance.
Article
Ecology
Yuuki Y. Watanabe
Article
Ecology
Nicholas L. Payne, James A. Smith, Dylan E. van der Meulen, Matthew D. Taylor, Yuuki Y. Watanabe, Akinori Takahashi, Teagan A. Marzullo, Charles A. Gray, Gwenael Cadiou, Iain M. Suthers
FUNCTIONAL ECOLOGY
(2016)
Article
Fisheries
Yuuki Y. Watanabe, Takaomi Arai, Daniel Limbong, Yunober Mberato, Nobuyuki Miyazaki
MARINE AND FRESHWATER RESEARCH
(2016)
Article
Multidisciplinary Sciences
Nicholas L. Payne, Gil Iosilevskii, Adam Barnett, Chris Fischer, Rachel T. Graham, Adrian C. Gleiss, Yuuki Y. Watanabe
NATURE COMMUNICATIONS
(2016)
Article
Ecology
Vianey Leos-Barajas, Theoni Photopoulou, Roland Langrock, Toby A. Patterson, Yuuki Y. Watanabe, Megan Murgatroyd, Yannis P. Papastamatiou
METHODS IN ECOLOGY AND EVOLUTION
(2017)
Article
Ecology
Lucy A. Howey, Emily R. Tolentino, Yannis P. Papastamatiou, Edward J. Brooks, Debra L. Abercrombie, Yuuki Y. Watanabe, Sean Williams, Annabelle Brooks, Demian D. Chapman, Lance K. B. Jordan
ECOLOGY AND EVOLUTION
(2016)
Article
Biology
Nozomi Nishiumi, Ayane Matsuo, Ryo Kawabe, Nicholas Payne, Charlie Huveneers, Yuuki Y. Watanabe, Yuuki Kawabata
JOURNAL OF EXPERIMENTAL BIOLOGY
(2018)
Article
Ecology
Akinori Takahashi, Motohiro Ito, Kumi Nagai, Jean-Baptiste Thiebot, Hiromichi Mitamura, Takuji Noda, Phil N. Trathan, Takeshi Tamura, Yuuki Y. Watanabe
MARINE ECOLOGY PROGRESS SERIES
(2018)
Article
Multidisciplinary Sciences
Yannis P. Papastamatiou, Gil Iosilevskii, Vianey Leos-Barajas, Edd J. Brooks, Lucy A. Howeys, Demian D. Chapman, Yuuki Y. Watanabe
SCIENTIFIC REPORTS
(2018)
Article
Ecology
Akinori Takahashi, Motohiro Ito, Kumi Nagai, Jean-Baptiste Thiebot, Hiromichi Mitamura, Takuji Noda, Phil N. Trathan, Takeshi Tamura, Yuuki Y. Watanabe
MARINE ECOLOGY PROGRESS SERIES
(2018)
Article
Biodiversity Conservation
Charlie Huveneers, Yuuki Y. Watanabe, Nicholas L. Payne, Jayson M. Semmens
CONSERVATION PHYSIOLOGY
(2018)
Article
Ecology
Yannis P. Papastamatiou, Yuuki Y. Watanabe, Urska Demsar, Vianey Leos-Barajas, Darcy Bradley, Roland Langrock, Kevin Weng, Christopher G. Lowe, Alan M. Friedlander, Jennifer E. Caselle
Article
Environmental Sciences
Rei Yamashita, Hideshige Takada, Arisa Nakazawa, Akinori Takahashi, Motohiro Ito, Takashi Yamamoto, Yuuki Y. Watanabe, Nobuo Kokubun, Katsufumi Sato, Sarah Wanless, Francis Daunt, David Hyrenbach, Michelle Hester, Tomohiro Deguchi, Bungo Nishizawa, Akiko Shoji, Yutaka Watanuki
ARCHIVES OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY
(2018)
Article
Biology
Yuuki Y. Watanabe, Nicholas L. Payne, Jayson M. Semmens, Andrew Fox, Charlie Huveneers
JOURNAL OF EXPERIMENTAL BIOLOGY
(2019)
Article
Multidisciplinary Sciences
Yuuki Y. Watanabe, Eugene A. Baranov, Nobuyuki Miyazaki
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2020)