Influence of the static field on a heavy body in a rotating drum with liquid

2018 ◽  
Vol 41 (2) ◽  
Author(s):  
Olga Vlasova ◽  
Nikolai Kozlov
Keyword(s):  
Static Field ◽  
Rotating Drum ◽  
Heavy Body

Compaction and dilatancy of irregular particles avalanche flow in rotating drum operated in slumping regime

2020 ◽  
Vol 364 ◽  
pp. 1039-1048
Author(s):  
Q. Chen ◽  
H. Yang ◽  
R. Li ◽  
W.Z. Xiu ◽  
R. Han ◽  
...  
Keyword(s):  
Rotating Drum ◽  
Avalanche Flow

scholarly journals A single-shot measurement of time-dependent diffusion over sub-millisecond timescales using static field gradient NMR

2021 ◽  
Vol 154 (11) ◽  
pp. 111105
Author(s):  
Teddy X. Cai ◽  
Nathan H. Williamson ◽  
Velencia J. Witherspoon ◽  
Rea Ravin ◽  
Peter J. Basser
Keyword(s):  
Field Gradient ◽  
Static Field ◽  
Time Dependent ◽  
Single Shot

Particle shape-induced axial segregation of binary mixtures of spheres and ellipsoids in a rotating drum

2021 ◽  
Vol 235 ◽  
pp. 116491
Author(s):  
S.Y. He ◽  
J.Q. Gan ◽  
D. Pinson ◽  
A.B. Yu ◽  
Z.Y. Zhou
Keyword(s):  
Binary Mixtures ◽  
Particle Shape ◽  
Rotating Drum ◽  
Axial Segregation

scholarly journals Traffic Type Recognition Method for Unknown Protocol—Applying Fuzzy Inference

Electronics ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 36
Author(s):  
Sang-Won Kim ◽  
Kee-Cheon Kim
Keyword(s):  
Fuzzy Inference ◽  
Static Field ◽  
Theoretical Background ◽  
Alignment Algorithm ◽  
Traffic Classification ◽  
Recognition Method ◽  
Inference System ◽  
Traffic Characteristics ◽  
Sequence Alignment Algorithm ◽  
Low Performance

In this paper, we propose a system that can recognize traffic types without prior knowledge of static features such as protocol header information by combining protocol analysis based on an ecological sequence alignment algorithm in a bioinformatics and fuzzy inference system. The algorithm proposed in this paper obtained up to a 91% level of performance at a similar level to several existing algorithms in experiments using datasets containing various types of traffic. In addition, it showed an excellent accuracy of 82.5% or more even under severe conditions that lowered the amount of data to a level of at least 40% or only included data in the middle of the traffic. This shows that the problem of dependence on initial data that frequently occurs in existing machine learning and deep learning-based traffic classification algorithms does not appear in the proposed algorithm. Furthermore, based on the ability to directly extract traffic characteristics without being dependent on static field values, it has secured the ability to respond with a small number of data by taking advantage of the flexibility of the membership function of the fuzzy inference engine. Through this, the applicability to low-power and low-performance environments such as IoT networks was confirmed. In this paper, we describe in detail the theoretical background for constructing such an algorithm and relevant experiments and considerations for actual verification.

scholarly journals Use of Continuous Positive Airway Pressure (CPAP) to Limit Diaphragm Motion—A Novel Approach for Definitive Radiation Therapy for Inoperable Pleural Mesothelioma: A Pilot Study

Biology ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 711
Author(s):  
Assaf Moore ◽  
Marc J. Kindler ◽  
Aaron Max Allen
Keyword(s):  
Pilot Study ◽  
Static Field ◽  
Normal Lung ◽  
Pleural Mesothelioma ◽  
Lung Dose ◽  
Lung Inflation ◽  
Novel Approach ◽  
Recent Developments ◽  
Ct Simulation ◽  
Dose Constraints

Malignant pleural mesothelioma (MPM) is a deadly disease and radiotherapy (RT) plays an important role in its management. Recent developments in technique have made it is possible to deliver RT to MPM in the intact lung. However, it is imperative to reduce normal lung doses. We present a pilot study examining the use of CPAP and VMAT radiotherapy to reduce toxicity when treating MPM, involving three consecutive patients with MPM, not amenable to surgery, who were treated according to Helsinki committee approval. Patients were simulated using four-dimentional CT simulation with the assistance of CPAP lung inflation, then were treated using both IMRT and VMAT techniques. Radiation lung dose was optimized based on accepted lung dose constraints. Patients were followed for toxicity as well as local control and survival. Results: Three patients were treated with CPAP-based IMRT treatment. These patients tolerated the treatment and DVH constraints were able to be met. The comparison plans among the four VMAT arcs and the IMRT static field treatment were able to accomplish the treatment planning objectives without significant advantages with either technique. The treatment combined with CPAP reduced the normal lung dose in MPM patients with intact lungs. This technique is worthy of further investigation.

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