Optical Fiber Frequency Shift Characterization of Overburden Deformation in Short-Distance Coal Seam Mining by Dingding Zhang, Qiang Chen, Zhengshuai Wang, Jianfeng Yang, Jing Chai

“…In the application of Brillouin optical time-domain analysis (BOTDA) in similarity simulation tests, the capability of distributed optical fiber sensing (DOFS) to detect the characteristics of the overburden deformation and the evolution is a key factor affecting the testing accuracy. …”
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Monitoring Excavation-Induced Deformation of a Secant Pile Wall Using Distributed Fiber Optic Sensors by Chengyu Hong, Chengkai Xu, Weibin Chen, Jianwei Liu, Junkun Tan

“…This paper investigates the use of the BOTDA (Brillouin Optical Time-Domain Analysis) technology to monitor a large-scale bored pile wall in the field. …”
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Crack Detection of Reinforced Concrete Structures Based on BOFDA and FBG Sensors by Qinghua Zhang, Ziming Xiong

“…In this paper, the authors propose a new sensing system combining BOFDA (Brillouin optical frequency-domain analysis) and FBG (fiber Bragg grating) technology, which are used to detect internal and surface cracks and their development in reinforced concrete structures, and an attempt is made to estimate the width of surface cracks. …”
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A Post-Processing Method for Quantum Random Number Generator Based on Zero-Phase Component Analysis Whitening by Longju Liu, Jie Yang, Mei Wu, Jinlu Liu, Wei Huang, Yang Li, Bingjie Xu

“…In this work, a novel post-processing method for QRNG based on Zero-phase Component Analysis (ZCA) whitening is proposed and experimentally verified through both time and spectral domain analysis, which can effectively reduce auto-correlations and flatten the spectrum of the raw data, and enhance the random number generation rate of QRNG. …”
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A Novel Hybrid Cascaded and Stacked Coupled Inductor Boost Converter With Active Clamping Zero-Voltage Switching by Jing-Yuan Lin, Chuan-Ting Chen, Yi-Feng Lin

“…This study describes the working principle and time domain analysis of this topology. Detailed design of components and propose the best design process. …”
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Study on the Unbalanced Fault Dynamic Characteristics of Eccentric Motorized Spindle considering the Effect of Magnetic Pull by Zhan Wang, Wenzhi He, Siyuan Du, Zhe Yuan

“…The vibration caused by unbalanced magnetic pull does not increase with the increase of rotating speed. In frequency-domain analysis, when there is unbalanced magnetic pull, the peak appears at 0 Hz, and the amplitude of fundamental frequency vibration will increase with the increase of eccentricity. …”
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Prediction of Hydraulic Automatic Transmission Reliability Using Failure Data Based on Exponential Decay Oscillation Distribution Model by Yongming Liu, Guowen Ye, Zhuanzhe Zhao

“…Aiming at the problem that the traditional reliability models of mechanical products are used to predict the reliability of hydraulic automatic transmission and the expected result is relatively large, firstly, the empirical distribution model line is used to statistically analyze the failure distribution law of the hydraulic automatic transmission; then, the Fourier transform is used to perform frequency domain analysis on experience distribution; on this basis, comprehensively consider the characteristics of experience distribution and frequency domain characteristics of experience distribution, constructs the reliability model of exponential decay oscillation distribution and the corresponding reliability, failure efficiency and average life calculation model; meanwhile, studies the influence of attenuation coefficient, oscillation amplitude, oscillation angle frequency, and other parameters on the probability distribution characteristics. …”
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Ultrasonic Analysis of Peptide- and Antibody-Targeted Microbubble Contrast Agents for Molecular Imaging of αβ-Expressing Cells by Paul A. Dayton, David Pearson, Jarrod Clark, Scott Simon, Patricia A. Schumann, Reena Zutshi, Terry O. Matsunaga, Katherine W. Ferrara

“…The decorrelation of the echo from adherent targeted agents is observed over successive pulses as a function of acoustic pressure and bubble density. Frequency–domain analysis demonstrates that adherent targeted bubbles exhibit high-amplitude narrowband echo components, in contrast to the primarily wideband response from free microbubbles. …”
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NEMS generated electromechanical frequency combs by Sasan Rahmanian, Hamza Mouharrar, Rana Abdelrahman, Masoud Akbari, Yasser S. Shama, Kevin Musselman, David Muñoz-Rojas, Skandar Basrour, Eihab Abdel Rahman

“…The superior phase coherence of the FC generated via the 2:1 modal interaction was demonstrated via time-domain analysis. Our technique has the flexibility to generate multiple frequency combs and to fine-tune their FSR depending on the number of mechanical modes accessible to and the order of the activated modal interaction. …”
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A Review of UWB Radar Detection of Respiration and Heartbeat Signals in Different Scenarios by Xuezhao ZHENG, Wen DING, Yuan HUANG, Guobin CAI, Yang MA, Shengkai LIU, Bo ZHOU

“…The paper then reviews existing methods for extracting breathing and heartbeat signals, including time domain, frequency domain, and time-frequency domain analysis methods. Finally, it summarizes research progress in breathing and heartbeat signal extraction in various scenarios, such as mine rescue, earthquake rescue, medical health, and through-wall detection, as well as the main problems in current research and focus areas for future research.…”
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Investigasi Hambatan dan Tantangan Penerapan Sistem Informasi Manajemen di Rumah Sakit by Malahayati Malahayati, Dedy Syamsuar

“…This research is a qualitative research to explore in depth the problems that hinder the application of hospital management information system to the object of research. Based on the domain analysis, the research identifies several problems that are the causes, namely poor infrastructure, commitment to human resources (HR), standard operating procedures (SOP) that have not been implemented, clarity of main tasks and functions, as well as ineffective supervision, supervision from parties. management that is not implemented as well as external systems as the cause of not optimal hospital management information system. …”
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Non-unit protection scheme for flexible DC transmission lines based on fitting the rate of change of line-mode voltage reverse traveling waves by Qixuan Zhang, Haifeng Li, Hainan Liu, Zhijie Wang

“…The existing non-unit traveling wave (TW) protection schemes of flexible direct current (DC) transmission lines based on time domain analysis cannot withstand high transition resistance. …”
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Feature Selection and Classifier Parameters Estimation for EEG Signals Peak Detection Using Particle Swarm Optimization by Asrul Adam, Mohd Ibrahim Shapiai, Mohd Zaidi Mohd Tumari, Mohd Saberi Mohamad, Marizan Mubin

“…In this study, feature selection and classifier parameters estimation based on particle swarm optimization (PSO) are proposed as a framework for peak detection on EEG signals in time domain analysis. Two versions of PSO are used in the study: (1) standard PSO and (2) random asynchronous particle swarm optimization (RA-PSO). …”
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Effect of Reperfusion on Time Domain Parameters of Heart Rate Variability by Sadia Mubarak, Bushra Riaz, Mehvish Ashfaq, Sidra Hamid, Amina Rasul, Mamoona Shafiq

“…Heart rate variability was analysed in time domains measures. For time domain analysis normal heart rate, SDNN, SDNNi, SDANN, RMSSD and pNN50 were recorded from 12 lead digital ECG data. …”
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Intelligent Turning Tool Monitoring with Neural Network Adaptive Learning by Maohua Du, Peixin Wang, Junhua Wang, Zheng Cheng, Shensong Wang

“…Based on LabVIEW and MATLAB hybrid programming, the waveforms of signals are observed and the significant characteristics of signals are extracted through the time-frequency domain analysis and then the calculation of the energy proportion of each frequency band obtained using 4 levels of wavelet packet decompositions of the vibration signal as well as 8 levels of wavelet multiresolution decompositions of the AE signal; the ensuing Relief-F algorithm is used to further reextract the features that are most relevant to the tool state as input of neural network pattern recognition. …”
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An improved electrocardiogram arrhythmia classification performance with feature optimization by Annisa Darmawahyuni, Siti Nurmaini, Bambang Tutuko, Muhammad Naufal Rachmatullah, Firdaus Firdaus, Ade Iriani Sapitri, Anggun Islami, Jordan Marcelino, Rendy Isdwanta, Muhammad Ikhwan Perwira

“…Results Our findings indicate that shallow feature extraction based on the time-domain analysis, combined with feature selection using a metaheuristic optimization algorithm, outperformed other ECG feature extraction and selection techniques. …”
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Improved Performance and Voltage Stability of Islanded Inverters Using Single-Loop PI-Lead Controller by Mohammed E. Benzoubir, Abderezak Lashab, Khaled Rayane, Mohammed Benmiloud, Mohamed Bougrine, Atallah Benalia, Mohamed Trabelsi, Hani Vahedi

“…Despite the challenges posed by multi-resonance phenomena and coupling effects inherent in single-loop SRF-based modeling, a comprehensive frequency-domain analysis is performed, with systematic controller parameter design guidelines to mitigate multi-gain crossover issues. …”
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Glutathione reductase plays a role in the metabolism of methylmercury degradation in Rhodotorula mucilaginosa by Yi Guo, Wenlong Deng, Qigui Mo, You Yu, Zhenwang Zhang, Mingjie Wei, Ruiling Tang, Surui Lu, Yanting Su

“…However, transcriptomic analysis revealed that the glutathione reductase of R. mucilaginosa responds to the methylmercury degradation process. Structural domain analysis and molecular docking experiments suggest that the glutathione reductase of R. mucilaginosa has the potential to directly or indirectly participate in methylmercury degradation metabolism. …”
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ADMET evaluation in drug discovery: 21. Application and industrial validation of machine learning algorithms for Caco-2 permeability prediction by Dong Wang, Jieyu Jin, Guqin Shi, Jingxiao Bao, Zheng Wang, Shimeng Li, Peichen Pan, Dan Li, Yu Kang, Tingjun Hou

“…Furthermore, Y-randomization test and applicability domain analysis were employed to assess the robustness and generalizability of these models. …”
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High-resolution tumor marker detection based on microwave photonics demodulated dual wavelength fiber laser sensor by Jie Hu, Weihao Lin, Liyang Shao, Chenlong Xue, Fang Zhao, Dongrui Xiao, Yang Ran, Yue Meng, Panpan He, Zhiguang Yu, Jinna Chen, Perry Ping Shum

“…Compared with traditional wavelength domain analysis, the demodulation resolution is improved by three orders of magnitude, based on the same sensing structure. …”
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