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Novel reduced-state BCJR algorithms [PDF]
, 2007 BCJR algorithm is an exact and efficient algorithm to compute the marginal posterior distributions of state variables and pairs of consecutive state variables of a trellis structure. Due to its overwhelming complexity, reduced complexity variations, such
Vithanage, CM, Piechocki, RJ, Andrieu, C
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Reduced-size 3D model of completed mystery circle K2
, 2022 Reduced-size 3D model of completed mystery circle K2 on the sandy seabed off Amami-Oshima Island, Japan, on June 15 ...
Yuki Kitajima (11921516) +2 more
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Reduced-size 3D model of completed mystery circle K1
, 2022 Reduced-size 3D model of completed mystery circle K1 on the sandy seabed off Amami-Oshima Island, Japan, on June 15 ...
Yuki Kitajima (11921516) +2 more
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Uncertainty Analysis of Neutron Diffusion Eigenvalue Problem Based on Reduced-order Model
Yuanzineng kexue jishu, 2023 In order to improve the efficiency of core physical uncertainty analysis based on sampling statistics, the proper orthogonal decomposition (POD) and Galerkin projection method were combined to study the application feasibility of reduced-order model ...
In order to improve the efficiency of core physical uncertainty analysis based on sampling statistics, the proper orthogonal decomposition (POD) and Galerkin projection method were combined to study the application feasibility of reduced-order model based on POD-Galerkin method in core physical uncertainty analysis. The two-dimensional two group TWIGL benchmark question was taken as the research object, the key variation characteristics of the core flux distribution were extracted under the finite perturbation of the group constants of each material region, and the full-order neutron diffusion problem was projected on the variation characteristics to establish a reduced-order neutron diffusion model. The reduced-order model was used to replace the full-order model to carry out the uncertainty analysis of the group constants of the material region. The results show that the bias of the mathematical expectation of keff calculated by reduced-order and full-order models is close to 1 pcm. In addition, compared with the calculation time required for uncertainty analysis of full-order model, the analysis time of reduced-order model (including the calculation time of the full-order model required for the construction of reduced-order model) is only 11.48%, which greatly improves the efficiency of uncertainty analysis. The biases of mathematical expectation of keff calculated by reduced-order and full-order models based on Latin hypercube sampling and simple random sampling are less than 8 pcm, and under the same sample size, the bias from the Latin hypercube sampling result is smaller. From the TWIGL benchmark test results, under the same sample size, Latin hypercube sampling method is more recommended for POD-Galerkin reduced-order model.
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A Letter About Phenobarbital Poisoning [PDF]
International Journal of Medical Toxicology and Forensic Medicine, 2020 The ever-increasing sensitivity of humans and living in a world full of stress and anxiety have led to the increased consumption of painkillers and sleeping pills. Barbiturates, which are among the most important sedatives, are regularly used by ordinary
Zahra Ataee , Maryam Sayyari Doughabadi
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NEW ASYMMETRIC 21-LEVEL INVERTER WITH REDUCED NUMBER OF SWITCHES
The Journal of Engineering Research, 2019 Multilevel inverter plays an important role in the field of modern power electronics and is widely being used for many high voltage and high power industrial and commercial applications.
Thiyagarajan V, Somasundaran P
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Superhydrophobic Ni-Reduced Graphene Oxide Hybrid Coatings with Quasi-Periodic Spike Structures
Nanomaterials, 2022 Recently, sophisticated technologies are applied to design a certain surface nature that can have superhydrophobic properties. Thus, a simple spray technique was introduced to prepare a superhydrophobic surface using rGO with Ni-S system (rGO-Ni) by ...
Ayi Bahtiar +5 more
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Reduced-form VAR results of under-developed countries.
, 2021 Reduced-form VAR results of under-developed countries.
Fahad Najeeb Khan (11868702) +5 more
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RestrictionDigest: A powerful Perl module for simulating genomic restriction digests
Electronic Journal of Biotechnology, 2016 Background: Reduced-representation sequencing technology is widely used in genotyping for its economical and efficient features. A popular way to construct the reduced-representation sequencing libraries is to digest the genomic DNA with restriction ...
Jinpeng Wang +4 more
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BMC Sports Science, Medicine and Rehabilitation, 2022 Background The SARS-CoV-2 virus and its long-term consequences in adolescents have a global impact on upcoming medical issues. The aim of this study was to investigate the effects of a SARS-CoV-2 infection on cardiorespiratory parameters in young ...
Johannes Lässing +6 more
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