Results 31 to 40 of about 583,369 (247)

Design and Experiment of Online Detection System for Water Content of Fresh Tea Leaves after Harvesting Based on Near Infra-Red Spectroscopy

Sensors, 2023
Fresh tea leaves continuously lose water after harvesting, and the level of water content directly affects the configuration of tea processing parameters. To address this problem, this study established an online detection system for the water content of
Shishun Wang, Zhengmin Wu, Chengmao Cao, Minhui An, Kun Luo, Liang Sun, Xiaoran Wang   +6 more
doaj   +1 more source

A GRAPHIC PROCESSING UNIT FRAME WORK FOR CONVOLUTIONAL NEURAL NETWORK BASED CLASSIFICATION OF REMOTELY SENSED SATELLITE IMAGES [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
Near real time processing and feature extraction from high-resolution satellite images aids in various applications of remote sensing including segmentation, classification and change detection.
R. A. Ansari, W. Thomas, K. M. Buddhiraju   +2 more
doaj   +1 more source

Near Real-Time Automatic Sub-Pixel Registration of Panchromatic and Multispectral Images for Pan-Sharpening

Remote Sensing, 2021
This paper presents a near real-time automatic sub-pixel registration method of high-resolution panchromatic (PAN) and multispectral (MS) images using a graphics processing unit (GPU).
Guangqi Xie, Mi Wang, Zhiqi Zhang, Shao Xiang, Luxiao He   +4 more
doaj   +1 more source

Accelerating Graph Analytics Using Near Data Processing

, 2022
Overall, in this work we propose novel NDP design on manycore GPU architectures and ReRAM-based PIM architectures to accelerate graph applications.
openaire   +2 more sources

Practical Near-Data Processing for In-Memory Analytics Frameworks [PDF]

2015 International Conference on Parallel Architecture and Compilation (PACT), 2015
The end of Dennard scaling has made all systemsenergy-constrained. For data-intensive applications with limitedtemporal locality, the major energy bottleneck is data movementbetween processor chips and main memory modules. For such workloads, the best way to optimize energy is to place processing near the datain main memory.
Mingyu Gao, Grant Ayers, Christos Kozyrakis   +2 more
openaire   +1 more source

Radar Cross Section Near-Field to Far-Field Prediction for Isotropic-Point Scattering Target Based on Regression Estimation

Sensors, 2020
Radar cross section near-field to far-field transformation (NFFFT) is a well-established methodology. Due to the testing range constraints, the measured data are mostly near-field.
Yang Liu, Weidong Hu, Wenlong Zhang, Jianhang Sun, Baige Xing, Leo Ligthart   +5 more
doaj   +1 more source

Prediction of Physicochemical Properties in Honeys with Portable Near-Infrared (microNIR) Spectroscopy Combined with Multivariate Data Processing

Foods, 2021
There is an increase in the consumption of natural foods with healthy benefits such as honey. The physicochemical composition contributes to the particularities of honey that differ depending on the botanical origin.
Olga Escuredo, María Shantal Rodríguez-Flores, Laura Meno, María Carmen Seijo   +3 more
doaj   +1 more source

Integrated Imager and 3.22 μs/Kernel-Latency All-Digital In-Imager Global-Parallel Binary Convolutional Neural Network Accelerator for Image Processing

IEEE Access, 2023
This paper presents an innovative approach to achieve ultralow-latency convolutional neural network (CNN) processing, which is critical for real-time image processing applications such as autonomous driving and virtual reality.
Ruizhi Wang, Cheng-Hsuan Wu, Makoto Takamiya   +2 more
doaj   +1 more source

Real-time stream processing for active fire monitoring on Landsat 8 direct reception data [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
Some remote sensing applications are relatively time insensitive, for others, near-real-time processing (results 30-180 minutes after data reception) offer a viable solution.
C. Böhme, P. Bouwer, M. J. Prinsloo
doaj   +1 more source

The HIT Network for Children and Adolescents With CNS Tumors Facilitates Improvements of Diagnostic Assessments, Multimodal Treatments, Individual Counseling, and Research in Germany, Austria, and Switzerland

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The HIT network was established in 2000 to create a population‐based structure aiming to improve survival rates and reduce late effects for children with central nervous system (CNS) tumors by conducting comprehensive clinical trials.
Stefan Rutkowski, Michael C. Frühwald, Gudrun Fleischhack, Stephan Tippelt, Pablo Hernáiz‐Driever, Olaf Witt, Astrid Gnekow, Christof Kramm, Matthias Eyrich, Johannes E. A. Wolf, Hermann Müller, Carsten Friedrich, Uwe R. Kordes, Denise Obrecht‐Sturm, Petra Ketteler, Barbara von Zezschwitz, Pascal Johann, Dominik Sturm, Karoline Nemes, Stefan Schönberger, Till Milde, Brigitte Bison, Monika Warmuth‐Metz, Torsten Pietsch, Ulrich Schüller, Arend Koch, David Capper, Martin Hasselblatt, Christian Thomas, Christian Hagel, Stefan M. Pfister, Felix Sahm, David T. W. Jones, Martin U. Schuhmann, Jürgen Krauss, Pedram Emami, Ahmed El Damaty, Rolf D. Kortmann, Rudolf Schwarz, Jürgen Debus, Mechthild Krause, Fabian Pohl, Holger Ottensmeier, Lisa Bußenius, Katja Baust, Andreas Faldum, Cecile Ronckers, Desiree Grabow, Martin Benesch, Thomas Perwein, Karin Dieckmann, Irene Slavc, Johannes Gojo, Nicolas U. Gerber, André O. von Bueren, Katrin Scheinemann, Gabriele Calaminus, Beate Timmermann, Ulrich‐Wilhelm Thomale, Martin Mynarek   +59 more
wiley   +1 more source