Relevant bibliographies by topics / Trained Bands

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Trained Bands'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Trained Bands"

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Wu, Jiemin, Zhi He, and Jie Hu. "Sentinel-2 Sharpening via Parallel Residual Network." Remote Sensing 12, no. 2 (January 15, 2020): 279. http://dx.doi.org/10.3390/rs12020279.

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Sentinel-2 data is of great utility for a wide range of remote sensing applications due to its free access and fine spatial-temporal coverage. However, restricted by the hardware, only four bands of Sentinel-2 images are provided at 10 m resolution, while others are recorded at reduced resolution (i.e., 20 m or 60 m). In this paper, we propose a parallel residual network for Sentinel-2 sharpening termed SPRNet, to obtain the complete data at 10 m resolution. The proposed network aims to learn the mapping between the low-resolution (LR) bands and ideal high-resolution (HR) bands by three steps, including parallel spatial residual learning, spatial feature fusing and spectral feature mapping. First, rather than using the single branch network, the parallel residual learning structure is proposed to extract the spatial features from different resolution bands separately. Second, the spatial feature fusing is aimed to fully fuse the extracted features from each branch and produce the residual image with spatial information. Third, to keep spectral fidelity, the spectral feature mapping is utilized to directly propagate the spectral characteristics of LR bands to target HR bands. Without using extra training data, the proposed network is trained with the lower scale data synthesized from the observed Sentinel-2 data and applied to the original ones. The data at 10 m spatial resolution can be finally obtained by feeding the original 10 m, 20 m and 60 m bands to the trained SPRNet. Extensive experiments conducted on two datasets indicate that the proposed SPRNet obtains good results in the spatial fidelity and the spectral preservation. Compared with the competing approaches, the SPRNet increases the SRE by at least 1.538 dB on 20 m bands and 3.188 dB on 60 m bands while reduces the SAM by at least 0.282 on 20 m bands and 0.162 on 60 m bands.
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Mizuno, Masaki, Toru Kawada, Atsunori Kamiya, Tadayoshi Miyamoto, Shuji Shimizu, Toshiaki Shishido, Scott A. Smith, and Masaru Sugimachi. "Exercise training augments the dynamic heart rate response to vagal but not sympathetic stimulation in rats." American Journal of Physiology-Regulatory, Integrative and Comparative Physiology 300, no. 4 (April 2011): R969—R977. http://dx.doi.org/10.1152/ajpregu.00768.2010.

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We examined the transfer function of autonomic heart rate (HR) control in anesthetized sedentary and exercise-trained (16 wk, treadmill for 1 h, 5 times/wk at 15 m/min and 15-degree grade) rats for comparison to HR variability assessed in the conscious resting state. The transfer function from sympathetic stimulation to HR response was similar between groups (gain, 4.2 ± 1.5 vs. 4.5 ± 1.5 beats·min−1·Hz−1; natural frequency, 0.07 ± 0.01 vs. 0.08 ± 0.01 Hz; damping coefficient, 1.96 ± 0.55 vs. 1.69 ± 0.15; and lag time, 0.7 ± 0.1 vs. 0.6 ± 0.1 s; sedentary vs. exercise trained, respectively, means ± SD). The transfer gain from vagal stimulation to HR response was 6.1 ± 3.0 in the sedentary and 9.7 ± 5.1 beats·min−1·Hz−1 in the exercise-trained group ( P = 0.06). The corner frequency (0.11 ± 0.05 vs. 0.17 ± 0.09 Hz) and lag time (0.1 ± 0.1 vs. 0.2 ± 0.1 s) did not differ between groups. When the sympathetic transfer gain was averaged for very-low-frequency and low-frequency bands, no significant group effect was observed. In contrast, when the vagal transfer gain was averaged for very-low-frequency, low-frequency, and high-frequency bands, exercise training produced a significant group effect ( P < 0.05 by two-way, repeated-measures ANOVA). These findings suggest that, in the frequency domain, exercise training augments the dynamic HR response to vagal stimulation but not sympathetic stimulation, regardless of the frequency bands.
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Bom, C. R., A. Cortesi, G. Lucatelli, L. O. Dias, P. Schubert, G. B. Oliveira Schwarz, N. M. Cardoso, et al. "Deep Learning assessment of galaxy morphology in S-PLUS Data Release 1." Monthly Notices of the Royal Astronomical Society 507, no. 2 (July 26, 2021): 1937–55. http://dx.doi.org/10.1093/mnras/stab1981.

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ABSTRACT The morphological diversity of galaxies is a relevant probe of galaxy evolution and cosmological structure formation, but the classification of galaxies in large sky surveys is becoming a significant challenge. We use data from the Stripe-82 area observed by the Southern Photometric Local Universe Survey (S-PLUS) in 12 optical bands, and present a catalogue of the morphologies of galaxies brighter than r = 17 mag determined both using a novel multiband morphometric fitting technique and Convolutional Neural Networks (CNNs) for computer vision. Using the CNNs, we find that, compared to our baseline results with three bands, the performance increases when using 5 broad and 3 narrow bands, but is poorer when using the full 12 band S-PLUS image set. However, the best result is still achieved with just three optical bands when using pre-trained network weights from an ImageNet data set. These results demonstrate the importance of using prior knowledge about neural network weights based on training in unrelated, extensive data sets, when available. Our catalogue contains 3274 galaxies in Stripe-82 that are not present in Galaxy Zoo 1 (GZ1), and we also provide our classifications for 4686 galaxies that were considered ambiguous in GZ1. Finally, we present a prospect of a novel way to take advantage of 12 band information for morphological classification using morphometric features, and we release a model that has been pre-trained on several bands that could be adapted for classifications using data from other surveys. The morphological catalogues are publicly available.
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Page, Phil, Nicole L. Rogers, Jose Casana, Josep Benitez, Pedro Gargallo, Yasmin Ezzatvar, Victor Tella, et al. "Effects Of Using Elastic Bands On Strength And Muscle Mass In Well-trained Young Men." Medicine & Science in Sports & Exercise 48 (May 2016): 764. http://dx.doi.org/10.1249/01.mss.0000487295.26541.29.

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Yu, Zhefu, and Linsheng Huo. "A Practical Method for Grid Structures Damage Location." Journal of Sensors 2015 (2015): 1–6. http://dx.doi.org/10.1155/2015/246480.

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A damage location method based on cross correlation function, wavelet packet decomposition, and support vector machine was proposed for grid structure. The approximate damage positions in grid structures could be determined through the peak abrupt changes of the cross correlation function that was produced by two vibration responses of adjacent measuring points. The vibration response was decomposed into eight bands by wavelet packet in order to accurately locate damage rods. The energy distribution in eight bands was used as a feature vector. SVM is trained to locate damaged bar elements in grid structures. Numerical analysis results showed that this method had good accuracy.
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Li, Jun, Zhaocong Wu, Zhongwen Hu, Zilong Li, Yisong Wang, and Matthieu Molinier. "Deep Learning Based Thin Cloud Removal Fusing Vegetation Red Edge and Short Wave Infrared Spectral Information for Sentinel-2A Imagery." Remote Sensing 13, no. 1 (January 5, 2021): 157. http://dx.doi.org/10.3390/rs13010157.

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Thin clouds seriously affect the availability of optical remote sensing images, especially in visible bands. Short-wave infrared (SWIR) bands are less influenced by thin clouds, but usually have lower spatial resolution than visible (Vis) bands in high spatial resolution remote sensing images (e.g., in Sentinel-2A/B, CBERS04, ZY-1 02D and HJ-1B satellites). Most cloud removal methods do not take advantage of the spectral information available in SWIR bands, which are less affected by clouds, to restore the background information tainted by thin clouds in Vis bands. In this paper, we propose CR-MSS, a novel deep learning-based thin cloud removal method that takes the SWIR and vegetation red edge (VRE) bands as inputs in addition to visible/near infrared (Vis/NIR) bands, in order to improve cloud removal in Sentinel-2 visible bands. Contrary to some traditional and deep learning-based cloud removal methods, which use manually designed rescaling algorithm to handle bands at different resolutions, CR-MSS uses convolutional layers to automatically process bands at different resolution. CR-MSS has two input/output branches that are designed to process Vis/NIR and VRE/SWIR, respectively. Firstly, Vis/NIR cloudy bands are down-sampled by a convolutional layer to low spatial resolution features, which are then concatenated with the corresponding features extracted from VRE/SWIR bands. Secondly, the concatenated features are put into a fusion tunnel to down-sample and fuse the spectral information from Vis/NIR and VRE/SWIR bands. Third, a decomposition tunnel is designed to up-sample and decompose the fused features. Finally, a transpose convolutional layer is used to up-sample the feature maps to the resolution of input Vis/NIR bands. CR-MSS was trained on 28 real Sentinel-2A image pairs over the globe, and tested separately on eight real cloud image pairs and eight simulated cloud image pairs. The average SSIM values (Structural Similarity Index Measurement) for CR-MSS results on Vis/NIR bands over all testing images were 0.69, 0.71, 0.77, and 0.81, respectively, which was on average 1.74% higher than the best baseline method. The visual results on real Sentinel-2 images demonstrate that CR-MSS can produce more realistic cloud and cloud shadow removal results than baseline methods.
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Saha, S., L. Kondmann, and X. X. Zhu. "DEEP NO LEARNING APPROACH FOR UNSUPERVISED CHANGE DETECTION IN HYPERSPECTRAL IMAGES." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-3-2021 (June 17, 2021): 311–16. http://dx.doi.org/10.5194/isprs-annals-v-3-2021-311-2021.

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Abstract. Unsupervised deep transfer-learning based change detection (CD) methods require pre-trained feature extractor that can be used to extract semantic features from the target bi-temporal scene. However, it is difficult to obtain such feature extractors for hyperspectral images. Moreover, it is not trivial to reuse the models trained with the multispectral images for the hyperspectral images due to the significant difference in number of spectral bands. While hyperspectral images show large number of spectral bands, they generally show much less spatial complexity, thus reducing the requirement of large receptive fields of convolution filters. Recent works in the computer vision have shown that even untrained networks can yield remarkable result in different tasks like super-resolution and surface reconstruction. Motivated by this, we make a bold proposition that untrained deep model, initialized with some weight initialization strategy can be used to extract useful semantic features from bi-temporal hyperspectral images. Thus, we couple an untrained network with Deep Change Vector Analysis (DCVA), a popular method for unsupervised CD, to propose an unsupervised CD method for hyperspectral images. We conduct experiments on two hyperspectral CD data sets, and the results demonstrate advantages of the proposed unsupervised method over other competitors.
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Nickerson, Brett S., Tyler D. Williams, Ronald L. Snarr, and Kyung-Shin Park. "Individual and Combined Effect of Inter-repetition Rest and Elastic Bands on Jumping Potentiation in Resistance-Trained Men." Journal of Strength and Conditioning Research 33, no. 8 (August 2019): 2087–93. http://dx.doi.org/10.1519/jsc.0000000000002593.

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Liao, Zhi Rong, Sheng Ming Li, Yong Lu, and Dong Gao. "Tool Wear Identification in Turning Titanium Alloy Based on SVM." Materials Science Forum 800-801 (July 2014): 446–50. http://dx.doi.org/10.4028/www.scientific.net/msf.800-801.446.

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Titanium alloy is difficult cutting materials,the samples of toolwear features are hard to acquire because of short tool life. In terms of the characteristic, Support Vector Machine (SVM) is proposed in this paper to monitor tool condition, the energy ratio of six different frequency bands of acoustic emission (AE) signal are extracted as cutting tool state features , SVM is trained and tested using these features ,Good classification results were achieved by using test set.
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Liang, Xingming, Quanhua Liu, Banghua Yan, and Ninghai Sun. "A Deep Learning Trained Clear-Sky Mask Algorithm for VIIRS Radiometric Bias Assessment." Remote Sensing 12, no. 1 (December 24, 2019): 78. http://dx.doi.org/10.3390/rs12010078.

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Clear-sky mask (CSM) is a crucial influence on the calculating accuracy of the sensor radiometric biases for spectral bands of visible, infrared, and microwave regions. In this study, a fully connected deep neural network (FCDN) was proposed to generate CSM for the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard Suomi National Polar-Orbiting Partnership (S-NPP) and NOAA-20 satellites. The model, well-trained by S-NPP data, was used to generate both S-NPP and NOAA-20 CSMs for the independent data, and the results were validated against the biases between the sensor observations and Community Radiative Transfer Model (CRTM) calculations (O-M). The preliminary result shows that the FCDN-CSM model works well for identifying clear-sky pixels. Both O-M mean biases and standard deviations were comparable with the Advance Clear-Sky Processor over Ocean (ACSPO) and were significantly better than a prototype cloud mask (PCM) and the case without a clear-sky check. In addition, by replacing CRTM brightness temperatures (BTs) with the atmosphere air temperature and water vapor contents as input features, the FCDN-CSM exhibits its potential to generate fast and accurate VIIRS CSM onboard follow-up Joint Polar Satellite System (JPSS) satellites for sensor calibration and validation before the physics-based CSM is available.
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Dissertations / Theses on the topic "Trained Bands"

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Leung, Sau Ping Norris. "An analysis of 'banking and finance' job advertisements in newspapers for different targeted readers: 'trainees' and 'professionals’." HKBU Institutional Repository, 2007. https://repository.hkbu.edu.hk/etd_ra/851.

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Baldoceda, Baldeon Luis Manuel. "Offrir une nouvelle bande d'herbe après la traite du matin ou après la traite du soir : effets sur la valeur nutritive du pâturage et sur les performances des vaches laitières en production bio." Thesis, Université Laval, 2011. http://www.theses.ulaval.ca/2011/28266/28266.pdf.

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La présente étude a pour but d’évaluer l'effet de l’allocation de pâturage dans l’après-midi afin de profiter de l’accumulation de glucides non-structuraux (GNS) dans l’herbe et ainsi tenter d’augmenter les performances laitières à travers l’amélioration de la balance énergétique et l’utilisation de l’azote par les vaches dans un système laitier biologique. Seize vaches ont été séparées en deux groupes, recevant une bande quotidienne de pâturage offerte soit après la traite du matin (AM) (07:30h) ou après la traite de l’après-midi (PM) (17:30h). Les traitements ont été appliqués pendant quatorze semaines durant la saison de pâturage (juin - septembre) où a été mesurée la variation de la qualité et de la composition chimique de pâturage pendant le jour. En complémentation, les vaches ont reçu une ration totale mélangée (RTM) après chaque traite (43-46% de la MS ingérée). La concentration en GNS dans le pâturage a été affectée par le moment de la journée (10,1 vs 12,8 % MS, pour AM et PM respectivement ; P<0,05). Le niveau de GNS dans l’herbe n’a pas eu d’effets sur la consommation volontaire de matière sèche (21,3 vs 20,5 kg/j), sur la production de lait (26,0 vs 25,2 kg/j), de protéine brute du lait (0,77 vs 0,76 kg/j) ni de gras du lait (0,99 vs 1,03 kg/j) des vaches. L’excrétion de l’urée et l’efficacité de l’utilisation de l’azote par les vaches n’ont pas été améliorées en PM par apport à AM. Bien que nous ayons observé que les GNS de l’herbe ont augmenté tout au long de la journée, cela ne s’est pas traduit par une amélioration des performances laitières des vaches ayant reçu cette herbe en pâture.
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Collet-Fenétrier, Jean-Michel. "Étude et maitrise du profil thermique transversal des bandes d'acier lors du laminage à chaud." Nancy 1, 1995. http://www.theses.fr/1995NAN10132.

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Le laminage à chaud transforme des brames, ep. 250mm, en tôles de 1,2 à 16mm en opérant a des températures de 1000°C. Une étude expérimentale a été menée permet de dégager les principaux paramètres du procédé influençant l'allure du profil thermique du produit: réchauffage dans le four, refroidissement des rives au dégrossisseur, arrosage sur la table de sortie. Nous avons développé 2 modèles numériques qui calculent l'évolution du champ de température dans la largeur et l'épaisseur de la bande, depuis la sortie du four jusqu'en entrée de la bobineuse. La modélisation depuis le four jusqu'en entrée du finisseur donne des résultats en accord avec l'expérience. Au finisseur, les phénomènes thermiques sont nombreux et complexes (phases d'arrosage, de déformation, contacts produit-outil): il en résulte des différences appréciables entre le profil calculé et le profil mesure en sortie du finisseur. Sur la table de sortie, la complexité des phénomènes thermiques liés à l'arrosage du produit (mouillage, calamine, mouvements d'eau) diminue l'espoir de réaliser un modèle fiable, prédictif, valable pour toutes les configurations de procédé et caractéristiques du produit, rencontres au laminage. Des essais réalisés sur une maquette de refroidissement d'une tôle chaude par jet laminaire d'eau, ainsi que les premiers résultats d'un modèle associé, ont permis de cerner davantage les mécanismes physiques lies au caractère diphasique de l'eau d'arrosage
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Tahri, Tarik. "Systèmes radars coopératifs multimodes pour la détection, l'identification des obstacles sur les voies, la localisation et la transmission de données trains-infrastructures." Thesis, Valenciennes, 2014. http://www.theses.fr/2014VALE0024/document.

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Le domaine des télécommunications ferroviaires est en perpétuelle évolution, ses axes d’investigation sont principalement motivés par un besoin toujours grandissant en termes de débit de données, qualité de transmission et fiabilité de localisation, mais restent freinés par un environnement fréquentiel de plus en plus encombré. Dans ce contexte, la conception d’un système qui assure à la fois, les besoins de localisation, d’identification des obstacles, et de communication, semble primordiale. Aussi, la technologie ultra large bande s’avère très prometteuse comme technologie de base pour ce système. Dans ce travail de thèse, un système radar coopératif pour la localisation, la détection d’obstacles, l’identification d’obstacles et la communication basé sur la technologie ULB, est proposé. Dans ce cadre, différentes techniques de multiplexage basées sur le principe de plusieurs techniques de modulation et d’accès multiple telles que la PPM, l’OAM, la 2πM, et la DS-CDMA ont été développées. Ces techniques ont pour buts, de séparer les signaux de communication et les signaux de localisation, ainsi que d’augmenter le débit des transmissions de données en augmentant le nombre des paramètres véhiculant l’information à envoyer. Des études théoriques alliées à des simulations ont été réalisées, afin de les comparer en termes de taux d’erreur binaire et de débit. Les résultats théoriques et de simulations du système proposé ont été validés par des expérimentations menées dans un environnement réel
Telecommunication in railway land is in perpetual evolution, its investigation axes are mainly motivated by a growing need in term of data rates, quality of transmission, accuracy and reliability of the localization, but it remains slowed by a frequentiel environment, which is increasingly crowded. In this context, the design of a system that ensure in same time, localization, obstacles recognition and communication, seems a very critical. In this thesis, to design such a sensor, we propose the use of so-called spectral diversity techniques also found under the name of Ultra Wideband radio (UWB). To separate localization signal and communication signal and to increase communication data rate, several multiplexing techniques based on the principle of multiple modulation techniques and multiple access such as PPM, the OAM, the 2πM, and DS-CDMA have been developed. Theoretical studies combined with simulations were performed to evaluate and compare these techniques in term of binary error rate and data rate communication. Theoretical results and simulations of the proposed system have been validated by experiments conducted in a real environment
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Majchrák, František. "Návrh a realizace zařízení pro zjednodušení a urychlení testování systému AWS/TPWS." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2019. http://www.nusl.cz/ntk/nusl-400607.

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The aim of the work was design and realization of device to simplify and speed up the testing of AWS / TPWS train protection system. The first chapter is addressed to description and division of train protection systems. The next chapter describes the process of commissioning the AWS / TPWS system and possible applycation of the device to this process. The final chapters deal with design, specification of components, realization of device and verification of its functionality.
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Gopal, Hemmant. "Modeling and simulation of a trailer with band track over wheels." 2005. http://etd.utk.edu/2005/GopalHemmant.pdf.

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Thesis (M.S.) -- University of Tennessee, Knoxville, 2005.
Title from title page screen (viewed on Aug. 3, 2005). Thesis advisor: Jeffrey S. Freeman. Document formatted into pages (x, 97 p. : ill. (some col.)). Vita. Includes bibliographical references (p. 94-96).
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Petit, Gabriel. "La bande-annonce, un film amplifié." Thèse, 2012. http://hdl.handle.net/1866/8865.

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Notre projet porte sur la relation entre la bande-annonce et le film qu’elle présente. Plus précisément, nous nous intéressons à la manière dont le remontage effectué par la bande-annonce amplifie le film. En premier lieu, nous avons effectué une analyse intertextuelle et esthétique de cinq bandes-annonces contemporaines en cernant le concept spécifique de chacun des exemples et en isolant ce que nous avons appelé des effets d’emphase, c’est-à-dire la mise en valeur de certaines qualités du film par l’entremise du montage du film-annonce. Nous avons ensuite exploré conceptuellement la logique transformante de la bande-annonce en considérant des pistes complémentaires : le montage attractif, la structure ouverte et l’évocation d’une mémoire virtuelle.
Our project focuses on the relationship between the trailer and the film it presents, specifically, how the re-editing of the trailer amplify the film. First, we conducted an intertextual and aesthetic analysis of five contemporary trailers by identifying the specific concept of each example and by isolating what we called the effects of emphasis, that is to say accentuation of certain qualities of the film through the editing of the trailer. We then explored conceptually the transforming logic of the trailer considering complementary ideas: attractive editing, open structure and the evocation of a virtual memory.
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Su, Jia-Hao, and 蘇嘉豪. "Dual-band Dual-Polarization Omnidirectional MIMO Antennas for High-Speed Train Applications." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/884683.

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碩士
國立中山大學
通訊工程研究所
103
n recent years, the development of wireless communication system has grown rapidly. Long Term Evolution (LTE) can support wireless network to fast-moving mobile terminals. In this thesis, for stable and high data rate transmission in the railway wireless communication, vertically/horizontally dual-polarization omnidirectional multiple-input and multiple-output (MIMO) train antennas, which are mounted on the roof of high-speed rail trains, with dual-band 1.7~1.9 GHz and 2.5~2.7 GHz are presented. First, an omnidirectional dual-band monopole antenna is designed for vertical polarization. In addition to co-designing antenna matching and antenna fixing mechanism, we also study the impact of ground plane on monopole radiation pattern. Secondary, to achieve omnidirectional radiation pattern in horizontal polarization similar to a magnetic dipole antenna, a loop antenna with a uniform and in-phase current distribution is required, but is difficult to design. Derived from Alford antenna design and multi-mode resonance, an omnidirectional broadband horizontally polarized antenna is designed. Furthermore, a dual-band horizontally polarized antenna is achieved by the self-supporting feed architecture and dual-band feed circuit design. Thirdly, we present omnidirectional dual-polarization dual-band MIMO antennas with an elliptical column size of π×91mm×51mm×61mm. The isolation for the proposed antennas is higher than 25dB at a small separation distance between antennas (~0.19λ_1.8GHz and ~0.26λ_2.6GHz, where λ_1.8GHz and λ_2.6GHz are the free space wavelength at 1.8 GHz and 2.6 GHz, respectively). Experimental and simulated results of the proposed antennas are presented and discussed. Finally, some omnidirectional horizontally polarized antenna applications are presented. Compared with the metal reflector, an omnidirectional horizontally polarized antenna on the top of electromagnetic band-gap structure (EBG) reflector has good return loss and radiation patterns. Moreover, an omnidirectional horizontally polarized antenna array is developed for base station applications.
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Books on the topic "Trained Bands"

1

Keith, Roberts. London & liberty: Ensigns of the London Trained Bands. Leigh-on-Sea, Essex: Partizan Press, 1987.

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Abellán, Francisco Pérez. La banda del expreso de Andaluciá: 1924.-el crimen del Directorio Militar. Madrid: Arnao, 1986.

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Gharbi, Mohamed Lazhar. Le capital franc̨ais à la traîne: Ébauche d'un réseau bancaire au Maghreb colonial, 1847-1914. Tunis: Faculté des lettres Manouba, Université de la Manouba, 2003.

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Outlaws on horseback: The history of the organized bands of bank and train robbers who terrorized the prairie towns of Missouri, Kansas, Indian Territory, and Oklahoma for half a century. Lincoln: University of Nebraska Press, 1998.

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Bomberger, E. Douglas. Explosions. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190872311.003.0005.

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On 2 April 1917, President Woodrow Wilson urged Congress to enter the European war, and Congress voted to do so on Friday, 6 April. On the 15th of that month, Victor released the Original Dixieland Jazz Band’s record of “Livery Stable Blues” and “Dixieland Jass Band One-Step”; it caused an immediate nationwide sensation. James Reese Europe travelled to Puerto Rico in search of woodwind players for the Fifteenth New York Regiment Band, and the Creole Band ended its vaudeville career when it missed the train to Portland, Maine. German musicians in the United States came under increased scrutiny in the weeks after the declaration of war, as the country prepared to adopt new laws and regulations for wartime.
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Chartered Institute of Bankers. Mauritius Centre., ed. Traité de pratique des techniques bancaires mauriciennes. [Mauritius]: Mauritius Centre, the Chartered Institute of Bankers, 1988.

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(Illustrator), Cristina Ong, ed. The Little Engine That Could Saves the Thanksgiving Day Parade (Little Engine That Could). Grosset & Dunlap, 2002.

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Hoffmann, Antje, and Juliane Wulff, eds. Die Spitze im Blick. Meyer & Meyer Sportverlag, 2018. http://dx.doi.org/10.5771/9783840312496.

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Im Rahmen des Symposiums "Die Spitze im Blick" tauschten sich rund 350 Nachwuchsleistungssport-Experten aus ganz Deutschland über die Kernthemen Talentauswahl und -entwicklung aus. Nachwuchstrainer, Wissenschaftler und andere interessierte Leser finden in diesem Band u. a. den Nachwuchsleistungssport aus verschiedenen Blickwinkeln beleuchtet; Erfahrungen erfolgreicher Athleten, die mit ihren Trainern aus dem Nähkästchen plaudern wie z. B. Tom Grambusch (Hockey), Jenny Wolf (Eisschnelllauf), Max Heß (Dreisprung), Max Hoff (Kanurennsport) und Aline Focken (Ringen), sowie konkrete Lösungsansätze für Fragen der Talentidentifikation und -entwicklung.
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Gann, Kyle. “Hawthorne”. University of Illinois Press, 2018. http://dx.doi.org/10.5406/illinois/9780252040856.003.0008.

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Ives’s “Hawthorne” movement is a complicated essay in moment form – a kind of collage of discontinuous and fairly static musical moments. Being inspired by a story about a train, it runs on ostinatos (repeating bass figures). For decades Kirkpatrick’s analysis of the movement in seven parts has prevailed, but a more detailed approach recognizes ten distinct sections: one imitating a brass band, another evoking the pilgrim’s in Hawthorne’s story, and others showing Ives’s idiosyncratic conception of ragtime.
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Holtmann, Martin, Björn Albrecht, and Daniel Brandeis. Neurofeedback. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198739258.003.0039.

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Neurofeedback of specific brain activity patterns allows perceiving and learning to gain control over these otherwise unaware neuronal processes. Neurofeedback may improve underlying neuronal deficits, and/or establish more general self-regulatory skills for compensating behavioural difficulties in other domains. Treating ADHD is the most common clinical neurofeedback application. Standard neurofeedback protocols based on electroencephalography train self-regulation of oscillatory activity in certain frequency bands (targeting theta/beta ratio) or slow cortical potential shifts. Both protocols have demonstrated promising outcomes, particularly in improving inattention symptoms, although controlled effects remain heterogeneous and often attenuated in blinded ratings. Further randomized controlled and (as far as possible) blinded evaluation studies are needed for better understanding of the mode of action and to establish robust standard training protocols for routine care. In the current state of evidence, neurofeedback can be recommended as part of a multimodal treatment of ADHD.
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Book chapters on the topic "Trained Bands"

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Ahmed, Adnan, Ricky Mok, and Zubair Shafiq. "FlowTrace : A Framework for Active Bandwidth Measurements Using In-band Packet Trains." In Passive and Active Measurement, 37–51. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44081-7_3.

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Lehner, Andreas, Cristina Rico García, Thomas Strang, and Oliver Heirich. "Measurement and Analysis of the Direct Train to Train Propagation Channel in the 70 cm UHF-Band." In Lecture Notes in Computer Science, 45–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19786-4_5.

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Herndon, D. N. "Reflections on the Train Disaster in the Soviet Union: A Civilian Perspective." In Die Versorgung des Brandverletzten im Katastrophenfall Band 2, 77–86. Heidelberg: Steinkopff, 1991. http://dx.doi.org/10.1007/978-3-642-72470-1_12.

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Black, Jasmine E., Chris Short, and Jenny Phelps. "Water with Integrated Local Delivery (WILD) for Transformative Change in Socio-Ecological Management." In Fostering Transformative Change for Sustainability in the Context of Socio-Ecological Production Landscapes and Seascapes (SEPLS), 155–73. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6761-6_9.

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AbstractAn innovative approach towards transformative change through multi-stakeholder participation for socio-ecological practices—Integrated Local Delivery (ILD)—has been used to restore the water quality and biodiversity across a catchment in the Cotswolds, South West England. This was triggered by the need to improve the Ecological Status of water as a part of the European Union’s Water Framework Directive. On a landscape scale of roughly 25,000 hectares, multi-stakeholders collaborated through a bottom-up approach to carry out environmental restoration of the catchment.Over 3 years, an iterative learning loop of reflection and evolution created increased engagement. Twenty farmers have been empowered as ‘guardians’ to be key contacts between institutions and ensure the sustained environmental quality of the area. Both farmers and communities acted to reduce chemical use, protect river banks from livestock damage and clear waterways to enhance water quality and biodiversity. Local communities fed into the development of a ‘Community Water Guide’ which can be applied internationally for similar projects. Within the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) transformative change framework, the ILD model can also be applied by facilitators to access levers and leverage points in order to enable change.Important take home messages from the project include having well-trained facilitators who ensure active engagement, connections and continuity over the long term. Likewise, ensuring all stakeholders feel listened to and clearly communicated with is essential to build trust and motivation.
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Hochschild, Jennifer L., and Nathan Scovronick. "School Finance Reform." In American Dream and Public Schools. Oxford University Press, 2003. http://dx.doi.org/10.1093/oso/9780195152784.003.0007.

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IN A WEALTHY NORTHEASTERN STATE, two schools are near each other geographically but far apart in every other way. The school in the city sits beside an abandoned lot in a community that has lost most of its industrial jobs. “The physical appearance of the school is bleak, depressing. The hall is dark and dingy. . . . The playground outside is all brown wood and it is completely surrounded by hard pavement.” The library has not been used for 13 years; even the faculty bathrooms have no toilet paper or soap. The gym leaks. There is one computer for every 35 students, and none of the classrooms is wired for the Internet. The principal has trouble attracting qualified teachers in many fields and has none trained in computer instruction; according to the scholar who looked at these schools, teachers mainly use the computers to keep the students busy playing games when they have completed their worksheets. In this school 98 percent of the students are non-Anglo, more than two-thirds are eligible for free or reduced-price school lunches, almost three in ten are in special education. The residents of the district have a per capita income of $17,000 a year. In the suburb nearby, the school is “housed in a modern building and surrounded by large, well-maintained athletic fields. [It] boasts such amenities as a spacious school library furnished with rows upon rows of book stacks, and a high-ceilinged auditorium with theater-style seating and a grand piano on stage. Not only does the school have computers in every classroom, it also has a fully equipped computer lab, staffed by an instructor.” There is one computer for every four students, all wired for Internet use. Teachers have aides as well as access to “resource teachers” who specialize in various academic fields, help with curricula, and give “guest lectures” in classrooms. Most students participate in the orchestra, chorus, or specialized bands (or perhaps all three). One fourth-grade teacher, a graduate of Vassar College, was chosen over more than 200 competitors for her job, and along with the others in the school is paid considerably more than the state average. In this school 95 percent of the students are Anglo, fewer than one percent are eligible for free or reduced-price lunches, and only 5 percent are in special education. Residents of the district have a per capita income of $70,000.
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Abusloum, Mahmoud A. S., Khaliq Ahmad, and Nabil Bello. "Islamic Banking in Libya." In Growth and Emerging Prospects of International Islamic Banking, 17–37. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1611-9.ch002.

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This chapter identifies the internal and external challenges for Islamic banking in Libya. It is a conceptual work using secondary data where relevant concepts in terms of challenges of the conversion process in Libya were demonstrated. Conversion process is surrounded and faced by many challenges. Internal challenges are not less significant than external ones. Trained human resource, lack of awareness in Islamic banking, and resistance to change to Islamic banks are considered as internal challenges which represent the stage of readiness to convert the sector. On the other hand, the economic structure, the political situation, and the regulatory framework hinder the process externally. This implies that stakeholders should come up with comprehensive strategies and plans about the conversion process which will improve the readiness level of the banks, raise the awareness and willingness of their employees, and increase the skills of banks' staff.
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Manning, Jane. "JOE CUTLER (b. 1968)Bands (2008)." In Vocal Repertoire for the Twenty-First Century, Volume 2, 51–53. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780199390960.003.0017.

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This chapter addresses British composer Joe Cutler’s Bands (2008). This touching, insightful piece, deceptively simple, demands immense concentration and empathy. The text, by the composer’s father Richard Cutler, is a moving encapsulation of the traumatic experiences faced by child evacuees during the Second World War, as they left home and parents and boarded trains for unfamiliar places. With immense skill and daring, the composer strips his material to the bone with a pared-down, static harmonic base and stark, repetitive vocal lines to convey graphically the desolation and numbed emotions of the departing children. Rhythmic fluidity is provided by the interplay between irregular patterns in the piano’s left hand punctuated by percussive right-hand acciaccaturas, while the singer maintains a steady quarter-note pulse through syncopations and tied notes. In view of the plethora of high Gs, some prolonged, a tenor would perhaps be most comfortable, although a very light baritone with a secure high range could sound suitably disembodied.
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Dinçer, Hasan, Serhat Yüksel, and Fatih Pınarbaşı. "Kano-Based Measurement of Customer Expectations in Retail Service Industry Using IT2 DEMATEL-QUALIFLEX." In Handbook of Research on Positive Organizational Behavior for Improved Workplace Performance, 349–70. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0058-3.ch020.

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This study aims to analyze customer expectations in European retail banking industry. For this purpose, five different criteria are identified. Furthermore, IT2 FDEMATEL approach is used to weight these criteria. In addition, three different factors are also defined which have a negative influence on customer satisfaction. In this context, IT2 FQUALIFLEX approach is used to rank these three alternatives. In this process, Kano model-based evaluation factors are converted into the fuzzy numbers. The findings show that the most important problem to be solved to ensure customer expectations and satisfaction is the communication problems. Therefore, European retail banks should firstly focus on solving this problem to meet customer expectations and provide customer satisfaction. These banks should employ the necessary number of personnel to provide services in different channels, such as social media, mobile banking, telebanking. Moreover, these personnel should also be trained effectively to increase the quality of communication.
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Kogeda, Okuthe Paul, and Nicknolt N. Vumane. "A Model Augmenting Credit Risk Management in the Banking Industry." In Deep Learning and Neural Networks, 123–43. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0414-7.ch009.

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A lack of reliable credit risk measurements and poor control of credit risks has caused massive financial losses across a wide spectrum of business. Financial institutions like banks have not been able to control and contain the rapid increases of the credit defaulting. In this paper, we address the credit lending challenges by eliminating credit defaulting faced by the banking industry. Data from bank of previously accepted and rejected loan applicants was used to construct a credit risk evaluation network. The artificial neural network technique with back-propagation algorithm was applied to develop a model that supports the banks in the credit granting decision-making. The model was trained to categorize applicants as either good (credit granted) or bad (credit denied) based on the credit record. The model was able to predict whether a particular applicant is likely or unlikely to repay the credit. The training of neural network model and validation testing was done using data obtained from the bank. The results show a greater performance, classification and prediction accuracy.
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"Porsche, Volkswagen, and CSX: Cars, Trains, and Derivatives." In Investment Banks, Hedge Funds, and Private Equity, 595–604. Elsevier, 2018. http://dx.doi.org/10.1016/b978-0-12-804723-1.15008-x.

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Conference papers on the topic "Trained Bands"

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Kang, Bong-Ho, Hosoung Kim, Yooil Kim, and Kyung-Su Kim. "Development of Fatigue Damage Model of Wide-Band Process by Artificial Neural Network." In ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/omae2014-23238.

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For the frequency-domain spectral fatigue analysis, the probability mass function of stress range is essential for the assessment of the fatigue damage. The probability distribution of the stress range in the narrow-band process is known to follow the Rayleigh distribution, however the one in the wide-band process is difficult to define with clarity. In this paper, in order to assess the fatigue damage of a structure under wide band excitation, the probability mass function of the wide band spectrum was derived based on the artificial neural network, which is one of the most powerful universal function approximation schemes. To achieve the goal, the multi-layer perceptron model with a single hidden layer was introduced and the network parameters are determined using the least square method where the error propagates backward up to the weight parameters between input and hidden layer. To train the network under supervision, the varieties of different wide-band spectrums are assumed and the probability mass function of the stress range was derived using the rainflow counting method, and these artificially generated data sets are used as the training data. It turned out that the network trained using the given data set could reproduce the probability mass function of arbitrary wide-band spectrum with success.
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Araujo, Maria S., Shane P. Siebenaler, Edmond M. Dupont, Samantha G. Blaisdell, and Daniel S. Davila. "Near Real-Time Automated Detection of Small Hazardous Liquid Pipeline Leaks Using Remote Optical Sensing and Machine Learning." In 2016 11th International Pipeline Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/ipc2016-64218.

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The prevailing leak detection systems used today on hazardous liquid pipelines (computational pipeline monitoring) do not have the required sensitivities to detect small leaks smaller than 1% of the nominal flow rate. False alarms of any leak detection system are a major industry concern, as such events will eventually lead to alarms being ignored, rendering the leak detection system ineffective [1]. This paper discusses the recent work focused on the development of an innovative remote sensing technology that is capable of reliably and automatically detecting small hazardous liquid leaks in near real-time. The technology is suitable for airborne applications, including manned and unmanned aircraft, ground applications, as well as stationary applications, such as monitoring of pipeline pump stations. While the focus of the development was primarily for detecting liquid hydrocarbon leaks, the technology also shows promise for detecting gas leaks. The technology fuses inputs from various types of optical sensors and applies machine learning techniques to reliably detect “fingerprints” of small hazardous liquid leaks. The optical sensors used include long-wave infrared, short-wave infrared, hyperspectral, and visual cameras. The utilization of these different imaging approaches raises the possibility for detecting spilled product from a past event even if the leak is not actively progressing. In order to thoroughly characterize leaks, tests were performed by imaging a variety of different types of hazardous liquid constitutions (e.g. crude oil, refined products, crude oil mixed with a variety of common refined products, etc.) in several different environmental conditions (e.g., lighting, temperature, etc.) and on various surfaces (e.g., grass, pavement, gravel, etc.). Tests were also conducted to characterize non-leak events. Focus was given to highly reflective and highly absorbent materials/conditions that are typically found near pipelines. Techniques were developed to extract a variety of features across the several spectral bands to identify unique attributes of different types of hazardous liquid constitutions and environmental conditions as well as non-leak events. The characterization of non-leak events is crucial in significantly reducing false alarm rates. Classifiers were then trained to detect small leaks and reject non-leak events (false alarms), followed by system performance testing. The trial results of this work are discussed in this paper.
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Samagaio, Anto´nio, Joana Rocha, and Maria Godinho. "Study of the Noise Produced by Trains Coming to a Halt." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-60908.

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The noise resulting from stopping a moving train is often a source of annoyance to both passengers and people who work and sometimes live in the vicinity of railroad stations. The present study attempted to define the characteristics of noise produced by the brakes of trains used in Portugal. The braking process varies widely from train to train and within the same type of train. Therefore, the results of the measurements had to be statistically analyzed. The parameters used to describe noise in this situation were the LAeq, the L10 and the L90 and the corresponding measurements took place both during the daytime and the nighttime period. Data was also obtained as a function of time and in 1/1 octave bands. The results show that there is a direct correlation between the maximum speed of a given train and the corresponding sound pressure level when the train is stopped. It was found that passenger trains that belong to the new, upper class of railroad transportation were the noisiest ones at the time of braking. As to the railroad itself, it was found that long welded rails make a favorable contribution to the decrease of noise levels. It was also found that the nighttime period was less noisy than the daytime period, in particular in terms of LAeq and L10.
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Thornton, J. "Lens antenna for multi-satellite and multi-frequency band communications on trains." In IET Seminar on Broadband on Trains. IEE, 2007. http://dx.doi.org/10.1049/ic:20070023.

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Flesch, Philip J. "Statistical Process Control for Power Plants." In International Joint Power Generation Conference collocated with TurboExpo 2003. ASMEDC, 2003. http://dx.doi.org/10.1115/ijpgc2003-40051.

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Statistical Process Control (SPC) is successfully used by manufacturing and service organizations to control processes. The advent of SPC has created significant improvements in manufacturing, and SPC is a key element in six sigma quality programs. The application of SPC allows trained professionals to analyze any process to better understand and control that process. SPC has been in steady use for decades, and numerous books have been written on its application. “SPC is a decision-making tool, and change is the foundation of SPC. When a process changes (goes beyond established limits), SPC helps the quality specialist identify the change and decide if the change is good or bad.” 1. “If the change is bad, the reason for the change is identified and every attempt is made to eliminate the occurrence of the cause of the change.” 2. “If the change is good, the reason for the change is identified and every attempt is made to make the occurrence of the cause of the change common practice.” [Statistical Quality Control, Seventh Edition] SPC may be applied to component and system monitoring at power plants. Equipment reliability, preventive maintenance effectiveness and plant aging have become more important to the owners and operators of power plants. These issues directly affect the plant’s capacity factor and operating costs. SPC provides feedback on measured process parameters, and power plants measure process parameters. SPC can be used to identify early indication of changes in these parameters. This allows plant personnel to identify performance changes that may be indicative of failing equipment reliability. Since it is a fairly simple tool, SPC is easily available to any power plant operator. Data can be loaded into Excel templates, and the appropriate graphs can be easily generated. Since many personnel are familiar with Excel, the application of SPC can be relatively easy initiate. Other statistical analysis programs are available (ex: EPRI MSET) for process parameter review. However, the other tools are not as simple as SPC. Examples will be provided that demonstrate how SPC can be applied to measured power plant parameters. These examples will also demonstrate how the results of SPC can be used to identify potential equipment reliability issues or to control parameters within narrow bands. Finally, the examples will demonstrate how SPC is superior to run graphs (i.e. a parameter graphed over time — over a “run”) as an analysis tool.
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Himsoon, T. Kee, and W. Pam Siriwongpairat. "Design and Analysis of 220 MHz RF Communications for Interoperable Positive Train Control System." In 2011 Joint Rail Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/jrc2011-56073.

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The interoperable positive train control (PTC) system uses radio frequency (RF) in the 220 MHz band for wireless communications. Robust and reliable 220 MHz RF communication is critical to the success of the interoperable PTC system. To ensure proper operation of the interoperable PTC system, it is thus crucial to properly engineer and evaluate RF performance of communications from wayside devices and base stations to trains operating along PTC controlled track. This paper presents a design of wireless communications over the 220 MHz band for the interoperable PTC system. Performance of the designed 220 MHz PTC communications is analyzed and theoretical predictions are provided. The paper also presents a simulation system architecture for analyzing the performance of PTC communications over the 220 MHz band. The simulation system test bed integrates a message generator, RF channel simulator, and PTC software-defined radio prototypes configured as a base, locomotive, or wayside radio. Extensive simulations were conducted to determine RF performance of PTC radio communications in various scenarios including flat terrain and city environments. Simulation results are given and compared to the theoretical predictions.
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Anjos, Bruno H. L. dos, Anthony E. A. Jatobá, and Marcelo C. Oliveira. "Generative adversarial networks: a renewal for data augmentation in lung nodule classification." In XV Workshop de Visão Computacional. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/wvc.2019.7629.

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Obtaining medical images is an ethically restrictive process and still difficult to validate, depending on well-trained professional, being a laborious and time-consuming activity. Therefore, the construction of large databases of structured medical images is one of the major challenges of the deep learning applications in the computerized aid to the diagnosis in medical images. GAN presents itself as an adequate solution to supply the small number of pathological exams that compose the most diverse medical images banks. In this work we intend to develop a method using GAN to balance the data set of Computed Tomography images and improve the performance of an arbitrary classifier of pulmonary nodules. For this, two GAN architectures with the capacity to generate synthetic images of nodal cuts were trained and in a second moment, a Convolutional Neural Network was trained in rooms of different data set. The training of the different data sets were evaluated by AUC-ROC.
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Flaherty, Paul A. "CCS: A Railway Corridor Control System Utilizing Ultra Wideband Radio Technology." In ASME/IEEE 2004 Joint Rail Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/rtd2004-66015.

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Ultra Wide Band (UWB) radio is a unique technology which combines a megabit wireless local area network with a centimeter-resolution radiolocation (RADAR) capability over distances less than 100 meters. A linear chain of UWB nodes can be used to create a hop-by-hop data transmission network, which also forms a RADAR “corridor” along the chain. By co-locating such a chain of nodes along a railroad right-of-way, precise information on the location and velocity of trains could be distributed throughout the corridor. In addition, the radar corridor would detect the introduction of track obstacles such as rocks, people, and automobiles, as well as shifted loads and other high-wide train defects. Finally, the network of nodes would enable off-train communications with payload sensors, locomotive computers, and could also provide wireless connectivity for passenger service.
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Ravisankar, P., and V. Ravi. "Failure prediction of banks using threshold accepting trained kernel principal component neural network." In 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC). IEEE, 2009. http://dx.doi.org/10.1109/nabic.2009.5393592.

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Zheng, Wenbo, Lan Yan, Chao Gou, and Fei-Yue Wang. "Federated Meta-Learning for Fraudulent Credit Card Detection." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/642.

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Credit card transaction fraud costs billions of dollars to card issuers every year. Besides, the credit card transaction dataset is very skewed, there are much fewer samples of frauds than legitimate transactions. Due to the data security and privacy, different banks are usually not allowed to share their transaction datasets. These problems make traditional model difficult to learn the patterns of frauds and also difficult to detect them. In this paper, we introduce a novel framework termed as federated meta-learning for fraud detection. Different from the traditional technologies trained with data centralized in the cloud, our model enables banks to learn fraud detection model with the training data distributed on their own local database. A shared whole model is constructed by aggregating locallycomputed updates of fraud detection model. Banks can collectively reap the benefits of shared model without sharing the dataset and protect the sensitive information of cardholders. To achieve the good performance of classification, we further formulate an improved triplet-like metric learning, and design a novel meta-learning-based classifier, which allows joint comparison with K negative samples in each mini-batch. Experimental results demonstrate that the proposed approach achieves significantly higher performance compared with the other state-of-the-art approaches.
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