Data-Driven Assessment of Temperature and Humidity Thresholds for Growing Rabbits at Different Ages in High Temperature and High Humidity

Smart Agricultural Technology, Год журнала: 2025, Номер unknown, С. 100843 - 100843

Опубликована: Фев. 1, 2025

Язык: Английский

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An Improved Adaptive Multi-Scale Peak Detection Retracker for River Level Estimation Based on Sentinel-6 Fully Focused SAR Data

Remote Sensing, Год журнала: 2025, Номер 17(5), С. 791 - 791

Опубликована: Фев. 24, 2025

Satellite altimetry technology has been widely used for the observation of oceans and inland water bodies. At present, fully focused synthetic aperture radar (FF-SAR) data, which significantly enhances along-track resolution, good prospects river level estimation. However, FF-SAR data with large volumes have more complex waveforms, brings challenges to waveform retracking. This study developed an improved adaptive multi-scale peak detection (ImpAMPD) retracker based on Sentinel-6 data. Initially, sub-waveforms are identified extracted from each waveform. Subsequently, segmented according number gates minimum gate length. Finally, retracking calculations performed determine levels. In this study, in situ six sections different features middle upper reaches Yangtze River were validate accuracy ImpAMPD perform a comparison three existing retrackers (OCOG, PTR, SAMOSA+). The results indicate that can utilize advantage high posting rate process multi-peak waveforms surface, accurately extract correct surface signals, achieve highly precise best obtained four sections, namely, Zhicheng, Shashi, Hankou, Huantan, STDDs 0.18 m, 0.26 0.47 0.36 respectively. is automated adaptable rivers varying widths, providing robust support monitoring flood management.

Язык: Английский

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Spatiotemporal Footprints of Surface Urban Heat Islands in the Urban Agglomeration of Yangtze River Delta During 2000–2022

Remote Sensing, Год журнала: 2025, Номер 17(5), С. 892 - 892

Опубликована: Март 3, 2025

Compared with atmospheric urban heat islands, surface islands (SUHIs) are easily monitored by the thermal sensors on satellites and have a more stable spatial pattern resembling built-up lands across single cities, large metropolitans, agglomerations; hence, they gaining attention from scholars planners worldwide in search for reasonable patterns scales to guide future development. Traditional urban–rural dichotomies, being sensitive representative rural areas diurnal seasonal variations land temperature (LST), obtain inflated varying SUHI footprints of approximately 1.0–6.5 times size different satellite-retrieved LST datasets many cities metropolitan areas, which not conducive developing strategies mitigate SUHIs. Taking Yangtze River Delta agglomeration China as an example, we proposed improved structural similarity index quantify SUHIs multiple at annual interval. We identified gridded anomalies (LSTAs) related urbanization adopting random forest models climate, urbanization, geographical, biophysical, topographical parameters. Using LSTA cycle grid point relative reference terms average values, variances, shapes characterize SUHIs, cross-validated ~1.06–2.45 × 104 km2 smaller than clear transition zones between zone were obtained 2000–2022. Hence, can balance urbanization’s benefits adverse effects enhancing design. Considering that rapidly transformed into ratio extent increasing 0.43 0.62 during 2000–2022, should also take measures prevent rapid expansion high-density ISA density above 65%

Язык: Английский

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Online UAV Path Planning for Joint Detection and Tracking of Multiple Radio-Tagged Objects

IEEE Transactions on Signal Processing, Год журнала: 2019, Номер 67(20), С. 5365 - 5379

Опубликована: Сен. 6, 2019

We consider the problem of online path planning for joint detection and tracking multiple unknown radio-tagged objects. This is a necessary task gathering spatio-temporal information using UAVs with on-board sensors in range monitoring applications. In this paper, we propose an algorithm because signal measurements from these objects are inherently noisy. derive partially observable Markov decision process random finite set track-before-detect (TBD) multi-object filter, which also maintains safe distance between UAV interest void probability constraint. show that, practice, likelihood function raw signals received by time-frequency domain separable results numerically efficient TBD filter. filter jump system to accommodate maneuvering capable switching different dynamic modes. Our evaluations demonstrate capability proposed approach handle subject birth, death, motion Moreover, method TBD-based outperforms its detection-based counterparts tracking, especially low signal-to-noise ratio environments.

Язык: Английский

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Non-neuronal evoked and spontaneous hemodynamic changes in the anterior temporal region of the human head may lead to misinterpretations of functional near-infrared spectroscopy signals

Neurophotonics, Год журнала: 2017, Номер 5(01), С. 1 - 1

Опубликована: Авг. 22, 2017

Several functional near-infrared spectroscopy (fNIRS) studies report their findings based on changes of a single chromophore, usually concentration oxygenated hemoglobin ([[Formula: see text]]) or deoxygenated (HHb). However, influence physiological actions may differ depending which element is considered and the assumption that chosen measure correlates with neural response interest might not hold. By assessing correlation between [[Formula: text]] [HHb] in task-evoked activity as well resting-state data, we identified spatial dependency non-neuronal hemodynamic anterior temporal region human head. Our support importance reporting discussing fNIRS outcomes obtained both chromophores [HHb]), particular, for concerning This practice should help to achieve physiologically correct interpretation results when no measurements short-distance channels are available while employing continuous-wave systems.

Язык: Английский

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Efficient and Robust RFI Extraction Via Sparse Recovery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Год журнала: 2016, Номер 9(6), С. 2104 - 2117

Опубликована: Фев. 29, 2016

This paper presents a simple adaptive framework for robust separation and extraction of multiple sources radio-frequency interference (RFI) from raw ultra-wideband (UWB) radar signals in challenging bandwidth management environments. RFI pose critical challenges UWB systems since 1) often occupies wide range the radar's operating frequency spectrum; 2) might have significant power; 3) are difficult to predict model due nonstationary nature as well complexity various communication devices. Our proposed involves an initial estimation step that operates directly on already contaminated identify RFI-dominant sub-bands. vital prior information is then taken into account construct dictionary with sinusoidal patterns covering aforementioned RFI-contaminated spectrum. Finally, we employ sparsity-driven optimization strategy separate extract received signals. method can be implemented denoising preprocessing stage image formation other follow-up tasks such target detection classification. Recovery results extensive simulated data sets real-world collected by U.S. Army Research Laboratory (ARL) synthetic aperture (SAR) illustrate robustness effectiveness our framework.

Язык: Английский

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BioSigKit: A Matlab Toolbox and Interface for Analysis of BioSignals

The Journal of Open Source Software, Год журнала: 2018, Номер 3(30), С. 671 - 671

Опубликована: Окт. 18, 2018

BioSigKit is a set of Matlab (The MathWorks Inc., Natick, USA) tools for analysis and visualization bio-signals.Matlab widely used programming language among researchers thanks to its simple flexible syntax.Biomedical signal processing one the main areas that has been benefiting from research rapid prototyping.BioSigKit collection ECG, EEG, EMG 3 Channel Accelerometer recordings.While there are already such as ECG-Kit (Demski & Soria, 2016) offer specialized algorithms ECG processing, more general purpose biosignal toolbox allows various biological signals.Many subroutines in being actively (H Sedghamiz, 2014, H Sedghamiz (2013)).BioSigKit gathers these popular under roof.For offers several algorthims that, with exception (Pan Tompkins, 1985), only available C language.BioSigKit implementation (Afonso, Nguyen, Luo, 1999; J. W. Lee, Kim, 2002;Scholkmann, Boss, Wolf, 2012) QRS detection along other detailed next section.BioSigKit also provides activity recordigs, posture estimation channel Accelerometers adaptive filtering routines well.The object oriented makes it easy update add new collection.The ultimate goal provide an easy-to-use interactive software access many standard bio-signal algorithms. Algorithms UseBioSigKit physiological recordings below.

Язык: Английский

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Atrial fibrillation detection from raw photoplethysmography waveforms: A deep learning application

Heart Rhythm O2, Год журнала: 2020, Номер 1(1), С. 3 - 9

Опубликована: Апрель 1, 2020

Atrial fibrillation (AF), a common cause of stroke, often is asymptomatic. Smartphones and smartwatches can detect AF using heart rate patterns inferred photoplethysmography (PPG); however, enhanced accuracy required to reduce false positives in screening populations.The purpose this study was test the hypothesis that deep learning algorithm given raw, smartwatch-derived PPG waveforms would discriminate from normal sinus rhythm better than algorithms alone.Patients presenting for cardioversion (n = 51) were wrist-worn fitness trackers containing sensors (Jawbone Health). Standard 12-lead electrocardiograms over-read by board-certified cardiac electrophysiologists used as reference standard. The signals evaluated conventional measures variability, long short-term memory (LSTM) neural network data only, convolutional-recurrent net (DNN) raw data.From among 51 patients with persistent (age 63.6 ± 11.3 years; 78% male; 88% white), we randomly assigned 40 train 11 algorithms. Whereas logistic regression analysis variability yielded an area under receiver operating characteristic curve (AUC) 0.717 (sensitivity 0.741; specificity 0.584), LSTM model exhibited AUC 0.954 0.810; 0.921), DNN highest 0.983 0.985; 0.880).A PPG-based signal resulted detection high accuracy, performing analyses relying on series alone.

Язык: Английский

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Fully automated peak-picking method for an autonomous stay-cable monitoring system in cable-stayed bridges

Automation in Construction, Год журнала: 2021, Номер 126, С. 103628 - 103628

Опубликована: Март 18, 2021

Язык: Английский

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Modeling the Hydrologic Influence of Subsurface Tile Drainage Using the National Water Model

Water Resources Research, Год журнала: 2022, Номер 58(4)

Опубликована: Апрель 1, 2022

Abstract Subsurface tile drainage (TD) is a dominant agriculture water management practice in the United States (US) to enhance crop production poorly drained soils. Assessments of field‐level or watershed‐level (<50 km 2 ) hydrologic impacts TD are becoming common; however, major gap exists our understanding regional (>105 on hydrology. The National Water Model (NWM) distributed 1‐km resolution hydrological model designed provide accurate streamflow forecasts at 2.7 million reaches across US. current NWM lacks representation which adds considerable uncertainty heavily tile‐drained areas. In this study, we quantify performance with newly incorporated tile‐drainage scheme over Midwestern Employing enhanced uncalibrated by about 20–50% fully calibrated ( Calib ). CalibTD showed accuracy higher event hit rates and lower false alarm than . better high‐flow estimations as increased peaks (14%), volume (2.3%), baseflow (11%). Regional balance analysis indicated that significantly reduced surface runoff (−7% −29%), groundwater recharge (−43% −50%), evapotranspiration −13%), soil moisture content (−2% −3%). However, profile lateral flow (27.7%) along infiltration storage potential. Overall, findings highlight importance incorporating process into operational configuration NWM.

Язык: Английский

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