Готові списки джерел за темами / Filtre intervalle / Статті в журналах

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Статті в журналах з теми "Filtre intervalle"

Автор: Grafiati

Опубліковано: 14 вересня 2024

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Scherman, Mathieu. "Travail et conscience : la présentation de soi dans les estimi de Trévise du XVe siècle." Mélanges de l École française de Rome Moyen Âge 118, no. 1 (2006): 127–48. http://dx.doi.org/10.3406/mefr.2006.9408.

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Comment le travail intervient-il dans l’identité d’une population urbaine à la fin du Moyen Âge ? À partir des déclarations fiscales rédigées à intervalles réguliers par les contribuables de la ville de Trévise, il est possible de s’interroger sur la valeur qu’ils attribuent au travail dans leur identification. Voulue par le pouvoir, la déclaration n’en est pas moins un document personnel par lequel l’individu s’exprime. Le filtre du rédacteur a peu d’incidence, voire aucune, sur le contenu du document. La population recensée grâce aux opérations fiscales est large, ce qui permet d’examiner l’ensemble de la population (femmes, nobles, riches marchands ou artisans, dépendants ou indépendants). Le travail n’a pas la même incidence sur tous les individus mais, pour la majorité de la population urbaine, il est un paramètre fondamental de l’identité.

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Xin Lingyi, 忻伶怡, 周雪芳 Zhou Xuefang, 毕美华 Bi Meihua, 杨国伟 Yang Guowei, 胡淼 Hu Miao, 李浩珍 Li Haozhen та 王天枢 Wang Tianshu. "通道间隔可切换的双Lyot滤波器的结构设计与性能分析". Chinese Journal of Lasers 49, № 21 (2022): 2106002. http://dx.doi.org/10.3788/cjl202249.2106002.

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Hicks, Hilary, Alex Laffer, Genna Losinski, and Amber Watts. "Low Frequency Extension Filter and ActiGraph-Calculated Sleep Intervals in Older Adults." Innovation in Aging 4, Supplement_1 (December 1, 2020): 428. http://dx.doi.org/10.1093/geroni/igaa057.1381.

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Abstract Actigraphy has become a popular, non-invasive means of continuously monitoring physical activity and sleep. One optional setting, the low frequency extension (LFE) filter, reduces the movement threshold to capture low acceleration activity that is common in older adults. This filter significantly alters physical activity outcomes (e.g., step counts), but it is unclear if this has implications for sleep interval calculations that rely upon accurate differentiation between physical activity and sleep. We investigated the effects of the LFE filter on wrist-worn sleep estimates in older adults. Participants were 9 older adults who wore the ActiGraph GT9X on their non-dominant wrist for 7 days in a free-living environment. Raw data was processed with and without the LFE filter enabled, and sleep intervals were calculated by a proprietary ActiGraph algorithm. Paired samples t-tests demonstrated that the LFE filter generated significantly later bedtimes, fewer minutes spent in bed, shorter sleep duration, and fewer awakenings during the night compared to when the filter was disabled (all p < .043). Use of the LFE filter did not lead to differences in arise time, sleep latency, efficiency, or wake after sleep onset (all p > .052). While the LFE filter was designed to improve accuracy of physical activity estimates in more sedentary populations, these findings suggest that the LFE filter also has the potential to impact sleep estimates of older adults. Researchers using ActiGraph-calculated sleep would benefit from careful consideration of this software-dependent impact.

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Chen, Feng-Wu, Ning-Yuan Lue, Mei-Yin Chou, and Yu-Shu G. Wu. "All-electrical valley filtering in graphene systems. I. A path to integrated electro-valleytronics." Journal of Applied Physics 132, no. 16 (October 28, 2022): 164303. http://dx.doi.org/10.1063/5.0114386.

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Probing and controlling the valley degree of freedom in graphene systems by transport measurements has been a major challenge to fully exploit the unique properties of this two-dimensional material. In this theoretical work, we show that this goal can be achieved by a quantum-wire geometry made of gapped graphene that acts as a valley filter with the following favorable features: (i) all electrical gate control, (ii) electrically switchable valley polarity, (iii) robustness against configuration fluctuation, and (iv) potential for room temperature operation. This valley filtering is accomplished by a combination of gap opening in either bilayer graphene with a vertical electrical field or single layer graphene on h-BN, valley splitting with a horizontal electric field, and intervalley mixing by defect scattering. In addition to functioning as a building block for valleytronics, the proposed configuration makes it possible to convert signals between electrical and valleytronic forms, thus allowing for the integration of electronic and valleytronic components for the realization of electro-valleytronics.

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Oliveira, Danian Steinkirch de, Paulo Eduardo Miranda Cunha, Luiz Gallisa Guimaraes, and Andre Fabiano Steklain. "High-Resolution Ray Tracing Migration." Brazilian Journal of Geophysics 39, no. 4 (December 6, 2021): 521. http://dx.doi.org/10.22564/rbgf.v39i4.2112.

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ABSTRACT. We present a seismic migration algorithm that calculates travel times and amplitudes based on the paraxial extrapolation of the dynamic ray tracing. We use a target-oriented approach with automatic selection of migration parameters and seismic traces that will compose the image. By associating the ray parameter (slowness vector) with the amplitudes of the seismic data, we reach a new form of migration amplitude conditioner that acts as a filter and may increase the resolution of reflectors and faults. On the other hand, when using the seismic amplitudes as weights, we can estimate the slowness vectors associated with the true seismic reflectors in depth. We apply this method to the synthetic seismic data of the Marmousi velocity model. When comparing the migrated seismic section to the true interval velocity model, we can see a precise matching of the geological features in a high-resolution pattern.Keywords: seismic migration, target-orientation, dynamic ray tracing, paraxial amplitude extrapolation. Migração por Traçado de Raios de Alta ResoluçãoRESUMO. Apresentamos um algoritmo de migração sísmica que calcula tempos e amplitudes de viagem com base na extrapolação paraxial do traçado dinâmico de raios. Utilizamos uma abordagem orientada a alvos com seleção automática dos parâmetros de migração e dos traços sísmicos que irão compor a imagem. Ao associar o parâmetro de raio (vetor de vagarosidade) às amplitudes dos dados sísmicos, chegamos a uma nova forma de condicionador de amplitudes de migração que atua como filtro e pode aumentar a resolução de refletores e falhas. Por outro lado, ao usar as amplitudes sísmicas como pesos, podemos estimar os vetores de vagarosidade associados aos verdadeiros refletores sísmicos em profundidade. Aplicamos este método aos dados sísmicos sintéticos do modelo de velocidade de Marmousi. Ao comparar a seção sísmica migrada com o modelo de velocidades intervalar verdadeiro, podemos ver uma correspondência precisa das feições geológicas em um padrão de alta resolução.Palavras-chave: migração sísmica, orientação ao alvo, traçado dinâmico de raios, extrapolação paraxial de amplitude.

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Klinke, Rainer, Marcus Müller, Claus-Peter Richter, and Jean Smolders. "Preferred intervals in birds and mammals: A filter response to noise?" Hearing Research 74, no. 1-2 (April 1994): 238–46. http://dx.doi.org/10.1016/0378-5955(94)90192-9.

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COLAK, OMER H. "AN EFFICIENT METHOD FOR CORRECTION OF ECTOPIC BEATS IN R-R INTERVALS." Fluctuation and Noise Letters 08, no. 03n04 (December 2008): L359—L368. http://dx.doi.org/10.1142/s0219477508005112.

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This study presents an efficient method based on principal component analysis (PCA) to remove ectopic beats in R-R intervals. The method is focused on variation of slopes at each time steps and reconstruction of new time values using initial eigenvectors and new slope values. Obtained results and LF (low frequency) and HF (high frequency) energy distributions were compared with outputs of integral pulse frequency modulation (IPFM) method and sliding window average filter (SWAF).

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Yost, William A., Dan Mapes-Riordan, Raymond Dye, Stanley Sheft, and William Shofner. "Discrimination of first- and second-order regular intervals from random intervals as a function of high-pass filter cutoff frequency." Journal of the Acoustical Society of America 117, no. 1 (January 2005): 59–62. http://dx.doi.org/10.1121/1.1830671.

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Ashkenazy, Y., M. Lewkowicz, J. Levitan, H. Moelgaard, P. E. Bloch Thomsen, and K. Saermark. "Discrimination of the Healthy and Sick Cardiac Autonomic Nervous System by a New Wavelet Analysis of Heartbeat Intervals." Fractals 06, no. 03 (September 1998): 197–203. http://dx.doi.org/10.1142/s0218348x98000249.

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We demonstrate that it is possible to distinguish with a complete certainty between healthy subjects and patients with various dysfunctions of the cardiac nervous system by way of multiresolutional wavelet transform of RR intervals. We repeated the study of Thurner et al. on different ensemble of subjects. We show that reconstructed series using a filter which discards wavelet coefficient related with higher scales enables one to classify individuals for which the method otherwise is inconclusive. We suggest a delimiting diagnostic value of the standard deviation of the filtered, reconstructed RR interval time series in the range of ~ 0.035 (for the above mentioned filter), below which individuals are at risk.

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Xu, XueQing, and YongHong Zhou. "EOP prediction using least square fitting and autoregressive filter over optimized data intervals." Advances in Space Research 56, no. 10 (November 2015): 2248–53. http://dx.doi.org/10.1016/j.asr.2015.08.007.

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Yang, Hongjiu, Peng Li, Yuanqing Xia, and Jinhui Zhang. "Reduced-Order $H_\infty$ Filter Design for Delta Operator Systems Over Multiple Frequency Intervals." IEEE Transactions on Automatic Control 65, no. 12 (December 2020): 5376–83. http://dx.doi.org/10.1109/tac.2020.2968962.

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Winn, Aung Phyo, O. A. Serdyuk, and V. M. Troyanovskyi. "Transformation of the structure and parameters of a shaping filter into confidence intervals for correlation function estimate." IFAC Proceedings Volumes 46, no. 9 (2013): 1820–25. http://dx.doi.org/10.3182/20130619-3-ru-3018.00080.

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Zhou, Ting, Yingjie Wei, Yuxin Jie, and Yanyi Zhang. "Prediction intervals for concrete face sandy gravel dam settlement using Kalman filter-based kernel extreme learning machine." Measurement 236 (August 2024): 115094. http://dx.doi.org/10.1016/j.measurement.2024.115094.

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Zhu, Wenliang, Gang Ma, Lesong Zheng, Yuhang Chen, Lishen Qiu, and Lirong Wang. "Inter-patient arrhythmia identification method with RR-intervals and convolutional neural networks." Physiological Measurement 43, no. 3 (March 31, 2022): 035003. http://dx.doi.org/10.1088/1361-6579/ac58de.

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Abstract Objective. The arrhythmia identification method based on the U-net has the potential for fast application. The RR-intervals have been proven to improve the performance of single-heartbeat identification methods. However, because both the heartbeats number and location in the input of the U-net are unfixed, the approach based on the U-net cannot use RR-intervals directly. To solve this problem, we proposed a novel method. The proposed method also can identify heartbeats of four classes, including non-ectopic (N), supraventricular ectopic beat (SVEB), ventricular ectopic beat (VEB), and fusion beat (F). Approach. Our method consists of the pre-processing and the two-stage identification framework. In the pre-processing part, we filtered input signals with a band-pass filter and created the auxiliary waveforms by RR-intervals. In the first stage of the framework, we designed a network to handle input signals and auxiliary waveforms. We proposed a masking operation to separate the input signal into two signals according to the result of the network. The first signal contains heartbeats of SVEB and VEB. The second signal includes heartbeats of N and F. The second stage consists of two networks and can further identify the heartbeats of SVEB, VEB, N, and F from these two signals. Main result. We validated our method on the MIT-BIH arrhythmia database with the inter-patient model. For classes N, SVEB, VEB, and F, our approach achieved F1 scores of 98.26, 68.61, 95.99, and 47.75, respectively. Significance. Our method not only can effectively utilize RR intervals but also can identify multiple arrhythmias.

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Lopac, Nikola, Jonatan Lerga, and Elena Cuoco. "Gravitational-Wave Burst Signals Denoising Based on the Adaptive Modification of the Intersection of Confidence Intervals Rule." Sensors 20, no. 23 (December 3, 2020): 6920. http://dx.doi.org/10.3390/s20236920.

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Gravitational-wave data (discovered first in 2015 by the Advanced LIGO interferometers and awarded by the Nobel Prize in 2017) are characterized by non-Gaussian and non-stationary noise. The ever-increasing amount of acquired data requires the development of efficient denoising algorithms that will enable the detection of gravitational-wave events embedded in low signal-to-noise-ratio (SNR) environments. In this paper, an algorithm based on the local polynomial approximation (LPA) combined with the relative intersection of confidence intervals (RICI) rule for the filter support selection is proposed to denoise the gravitational-wave burst signals from core collapse supernovae. The LPA-RICI denoising method’s performance is tested on three different burst signals, numerically generated and injected into the real-life noise data collected by the Advanced LIGO detector. The analysis of the experimental results obtained by several case studies (conducted at different signal source distances corresponding to the different SNR values) indicates that the LPA-RICI method efficiently removes the noise and simultaneously preserves the morphology of the gravitational-wave burst signals. The technique offers reliable denoising performance even at the very low SNR values. Moreover, the analysis shows that the LPA-RICI method outperforms the approach combining LPA and the original intersection of confidence intervals (ICI) rule, total-variation (TV) based method, the method based on the neighboring thresholding in the short-time Fourier transform (STFT) domain, and three wavelet-based denoising techniques by increasing the improvement in the SNR by up to 118.94% and the peak SNR by up to 138.52%, as well as by reducing the root mean squared error by up to 64.59%, the mean absolute error by up to 55.60%, and the maximum absolute error by up to 84.79%.

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Rangsungnoen, S., P. Chanbenjapipu, N. Mathuradavong, and K. Suwanprasert. "A Hybrid Signal Processing of RR Intervals from QTc Variation Searching Arrhythmia and Improving Heart Rate Variability Assessment in Acute Large Artery Ischemic Stroke." Journal of Medical Engineering 2016 (November 14, 2016): 1–6. http://dx.doi.org/10.1155/2016/9823026.

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Sudden death caused by abnormal QTc and atrial fibrillation (AF) has been reported in stroke. Heart rate variability (HRV) is reduced with missing beats of RRI during arrhythmic episode and abnormal QTc variation during acute stroke. In this study, we develop a hybrid signal processing by Pan Tompkins QRS detection and Kalman filter estimator for meaningful missing beats and searching AF with prolonged QTc. We use this hybrid model to investigate RRIs of Lead II ECG in thirty acute stroke patients with long QTc and AF (LQTc-AF) and normal QTc without AF (NQTc-nonAF) and then assess them by HRV. In LQTc-AF Kalman, higher mean heart rate with lower mean RRIs compared to NQTc-nonAF Kalman was characterized. LQTc-AF Kalman showed significant increase in SDNN, HF, SD2, SD2/SD1, and sample entropy. SDNN and HF associated with high RMSSD, pNN50, and SD1 reflect predominant parasympathetic drive for sympathovagal balance in LQTc-AF Kalman. Greater SD2, SD2/SD1, and sample entropy indicate more scatter of Poincaré plot. Compared with conventional Labchart, fractal scaling exponent of α1 (DFA) is higher in LQTc-AF Kalman. Remarkable complexity with parasympathetic drive in LQTc-AF Kalman suggests an influence of missing beats during stroke.

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Uemoto, Mitsuharu, Masaki Nishiura, and Tomoya Ono. "Valley filters using graphene blister defects from first principles." Journal of Physics: Condensed Matter, November 16, 2023. http://dx.doi.org/10.1088/1361-648x/ad0d26.

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Abstract Valleytronics, which makes use of the two valleys in graphenes, attracts considerable attention and a valley filter is expected to be the central component in valleytronics. We propose the application of the graphene valley filter using blister defects to the investigation of the valley-dependent transport properties of the Stone--Wales and blister defects of graphenes by density functional theory calculations. It is found that the intervalley transition from the $\mathbf{K}$ valley to the $\mathbf{K}^\prime$ valleys is completely suppressed in some defects. Using a large bipartite honeycomb cell including several carbon atoms in a cell and replacing atomic orbitals with molecular orbitals in the tight-binding model, we demonstrate analytically and numerically that the symmetry between the A and B sites of the bipartite honeycomb cell contributes to the suppression of the intervalley transition. In addition, the universal rule for the atomic structures of the blisters suppressing the intervalley transition is derived. Furthermore, by introducing additional carbon atoms to graphenes to form blister defects, we can split the energies of the states at which resonant scattering occurs on the $\mathrm{K}$ and $\mathrm{K}^\prime$ channel electrons. Because of this split, the fully valley-polarized current will be achieved by the local application of a gate voltage.

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Shrestha, Shreetu, Mingxing Li, Suji Park, Xiao Tong, Donald DiMarzio, and Mircea Cotlet. "Room temperature valley polarization via spin selective charge transfer." Nature Communications 14, no. 1 (August 26, 2023). http://dx.doi.org/10.1038/s41467-023-40967-7.

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AbstractThe two degenerate valleys in transition metal dichalcogenides can be used to store and process information for quantum information science and technology. A major challenge is maintaining valley polarization at room temperature where phonon-induced intervalley scattering is prominent. Here we demonstrate room temperature valley polarization in heterostructures of monolayer MoS2 and naphthylethylammine based one-dimensional chiral lead halide perovskite. By optically exciting the heterostructures with linearly polarized light close to resonance and measuring the helicity resolved photoluminescence, we obtain a degree of polarization of up to −7% and 8% in MoS2/right-handed (R-(+)-) and left-handed (S-(-)-) 1-(1-naphthyl)ethylammonium lead iodide perovskite, respectively. We attribute this to spin selective charge transfer from MoS2 to the chiral perovskites, where the perovskites act as a spin filter due to their chiral nature. Our study provides a simple, yet robust route to obtain room temperature valley polarization, paving the way for practical valleytronics devices.

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Kato, Hideo, Yoshihiko Morikawa, Mao Hagihara, Hiroshige Mikamo, and Takuya Iwamoto. "Investigation of in-line filter replacement intervals for infusion." Journal of Hospital Infection, February 2023. http://dx.doi.org/10.1016/j.jhin.2023.01.012.

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Morris, Thomas Glyn, Jonathan Layley, Robin Geevarghese, Lucille Steele, Joshua Ssali, and Mehdi Mirzazadeh. "Adult and neonate TSH blood spot reference intervals." Annals of Clinical Biochemistry: International Journal of Laboratory Medicine, June 24, 2022, 000456322211126. http://dx.doi.org/10.1177/00045632221112654.

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Background: Neonatal congenital hypothyroidism screening is performed by measuring thyroid-stimulating hormone (TSH) in a dried blood spot (DBS) sample, whereas acquired hypothyroidism uses serum TSH. There is no established DBS TSH reference interval, but knowing this is useful, as some patients cannot tolerate venepuncture, so DBS collection is seen as an acceptable alternative. The aim of this study was to establish DBS TSH reference intervals in adults and neonates (day 5-8), and determine the relationship between serum and DBS TSH. Methods: Euthyroid adults, not on thyroid medication and with a normal haematocrit, were selected. If they had a paired lithium heparin sample, DBS were prepared by spotting 50 µl of whole blood onto filter paper. DBS TSH was measured using the PerkinElmer Neonatal hTSH kit on the GSP instrument and serum using the Abbott Architect assay. The relationship between DBS and serum TSH was analysed using Passing-Bablok regression and the adult DBS TSH reference interval calculated using transformed data. The neonatal reference interval was calculated from screening results using the non-parametric method. Results: 109 adult samples were included in the study (61 female). The Passing-Bablok regression was: DBS TSH = 0.68 x serum TSH + 0.07, and reference interval was 0.49-3.07 mU/L. The neonatal DBS reference interval was 0.40-4.10 mU/L from 8,351 results. Conclusion: This study derived adult and neonate TSH DBS reference intervals using the GSP analyser and established the relationship between serum and DBS TSH. Knowing this information will allow for improved interpretation of DBS TSH results.

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Meredith, Bryanna, Bridget M. Clancy, Allison M. Ostdiek, George P. Langan, and Kerith R. Luchins. "Extended Sanitation Intervals for Cage Components and Automated Watering Valves: Validation and Cost Analysis." Journal of the American Association for Laboratory Animal Science, 2023. http://dx.doi.org/10.30802/aalas-jaalas-23-000084.

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Although the Guide suggests changing rodent cage components every 2 wk, it states that “decreased sanitation frequency may be justified if the microenvironment in the cages, under the condition of use ..., is not compromised.” The purpose of this study was to evaluate extended sanitation intervals of cage components (automated watering valve, wire bar lid, and filter top) of mouse individually ventilated caging (IVCs) at our institution. We hypothesized that there would be no significant difference in relative light units measured by ATP luminometry of these cage components at the control time point of 14 d as compared with each extended time interval: 28, 56, and 84 d. In addition, for automated watering valves, the study was extended to 168 d. We also hypothesized that time-and-motion studies performed by moving to a sanitation interval of 84 d for all components would result in substantial time and cost savings. The components of a total of 24 cages containing 4 or 5 mice each were swabbed, and an ATP luminometer was used to detect organic matter. We found no significant differences in organic matter load between 14 d and all other time points for all cage components. Our time- and cost-savings analysis found that extending the sanitation interval of cage components from every 2 wk (14 d) to every 3 mo (84 d) for every 10,000 cages would save about 3,000 technician hours annually, for a total annual labor cost savings of about $100,000. This study is the first to validate the extended sanitation interval of automated watering valves and confirms the findings of previous studies that validated the extended sanitation frequency of wire bar lids and filter tops of rodent IVCs. Overall, extending the sanitation frequency of cage components reduces workload of animal care staff without compromising the cage microenvironment.

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Rao S.K, Shrikanth, MaheshKumar H Kolekar, and Roshan Joy Martis. "A Deep Learning Approach for Detecting Atrial Fibrillation using RR Intervals of ECG." Frontiers in Biomedical Technologies, April 15, 2024. http://dx.doi.org/10.18502/fbt.v11i2.15343.

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Purpose: Atrial Fibrillation (AF) is one of the most common types of heart arrhythmias observed in clinical practice. AF can be detected using an Electrocardiogram (ECG). ECG signals are time-varying and nonlinear in nature. Hence, it is very difficult for a physician to manually perform accurate and rapid classification of different heart rhythms. Materials and Methods: In this paper, we propose a method using Discrete Wavelet Transform (DWT) with db6 as the basis function for denoising ECG signal. Results: The denoised ECG is smoothened using the Savitzky- Golay filter. Deep learning methods, such as a combination of Convolutional Neural Network (CNN) and Long Short Term Memory (LSTM) (CNN-LSTM) and ResNet18 are used for the accurate classification of ECG signals using Physionet Challenge 2017 database. Conclusion: With a 10-fold cross-validation method the model provided overall accuracy of 98.25% with the CNN-LSTM classifier.

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Jamal, Alaa, and Raphael Linker. "Inflation method based on confidence intervals for data assimilation in soil hydrology using the ensemble Kalman filter." Vadose Zone Journal 19, no. 1 (January 2020). http://dx.doi.org/10.1002/vzj2.20000.

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