Relationships among detector volume, speed and occupancy along signalized arterials

2017 ◽  
Author(s):  
Jingcheng Wu ◽  
Xiao Qin ◽  
Alan J. Horowitz ◽  
Xia Jin
Keyword(s):  
Signalized Arterials ◽  
Detector Volume

scholarly journals The Application of Electromagnetic Sensors for Determination of Cherenkov Cone Inside and in the Vicinity of the Detector Volume in Any Environment Known

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 992
Author(s):  
Valeriu Savu ◽  
Mădălin Ion Rusu ◽  
Dan Savastru
Keyword(s):  
Energy Levels ◽  
Cherenkov Detector ◽  
Electromagnetic Sensors ◽  
The Cost ◽  
Information Errors ◽  
The Universe ◽  
Large Frequency ◽  
Very High ◽  
Detector Volume

The neutrinos of cosmic radiation, due to interaction with any known medium in which the Cherenkov detector is used, produce energy radiation phenomena in the form of a Cherenkov cone, in very large frequency spectrum. These neutrinos carry with them the information about the phenomena that produced them and by detecting the electromagnetic energies generated by the Cherenkov cone, we can find information about the phenomena that formed in the universe, at a much greater distance, than possibility of actually detection with current technologies. At present, a very high number of sensors for detection electromagnetic energy is required. Thus, some sensors may detect very low energy levels, which can lead to the erroneous determination of the Cherenkov cone, thus leading to information errors. As a novelty, we propose, to use these sensors for determination of the dielectrically permittivity of any known medium in which the Cherenkov detector is used, by preliminary measurements, the subsequent simulation of the data and the reconstruction of the Cherenkov cone, leading to a significant reduction of problems and minimizing the number of sensors, implicitly the cost reductions. At the same time, we offer the possibility of reconstructing the Cherenkov cone outside the detector volume.

scholarly journals Atmospheric Muons Measured with IceCube

2019 ◽  
Vol 208 ◽  
pp. 08007 ◽  
Author(s):  
Dennis Soldin
Keyword(s):  
Angular Distribution ◽  
Energy Spectrum ◽  
Cosmic Ray ◽  
Cherenkov Detector ◽  
South Pole ◽  
Lateral Separation ◽  
Hadronic Interactions ◽  
Air Shower ◽  
Shower Development ◽  
Detector Volume

IceCube is a cubic-kilometer Cherenkov detector in the deep ice at the geographic South Pole. The dominant event yield is produced by penetrating atmospheric muons with energies above several 100 GeV. Due to its large detector volume, IceCube provides unique opportunities to study atmospheric muons with large statistics in detail. Measurements of the energy spectrum and the lateral separation distribution of muons offer insights into hadronic interactions during the air shower development and can be used to test hadronic models. We will present an overview of various measurements of atmospheric muons in IceCube, including the energy spectrum of muons between 10 TeV and 1 PeV. This is used to derive an estimate of the prompt contribution of muons, originating from the decay of heavy (mainly charmed) hadrons and unflavored mesons. We will also present measurements of the lateral separation distributions of TeV muons between 150m and 450m for several initial cosmic ray energies between 1 PeV and 16 PeV. Finally, the angular distribution of atmospheric muons in IceCube will be discussed.

TH-D-L100J-04: Dose and Image Quality of Flat-Panel Detector Volume Computed Tomography for Sinus Imaging

2007 ◽  
Vol 34 (6Part23) ◽  
pp. 2634-2634 ◽  
Author(s):  
J Alspaugh ◽  
E Christodoulou ◽  
M Goodsitt ◽  
J Stayman
Keyword(s):  
Computed Tomography ◽  
Image Quality ◽  
Flat Panel ◽  
Flat Panel Detector ◽  
Volume Computed Tomography ◽  
Detector Volume

scholarly journals Prediction of Arrival Profiles and Queue Lengths along Signalized Arterials by using a Markov Decision Process

2005 ◽  
Vol 1934 (1) ◽  
pp. 116-124 ◽  
Author(s):  
Nikolaos Geroliminis ◽  
Alexander Skabardonis
Keyword(s):  
Markov Decision Process ◽  
Decision Process ◽  
Wave Theory ◽  
Microscopic Simulation ◽  
Analytical Methodology ◽  
Loop Detectors ◽  
Markov Decision ◽  
Queue Lengths ◽  
Signalized Arterials ◽  
Starting Flow

An analytical methodology for prediction of the platoon arrival profiles and queue length along signalized arterials is proposed. Traffic between successive traffic signals is modeled as a two-step Markov decision process (MDP). Traffic dynamics are modeled with the use of the kinematic wave theory. The MDP formulation allows prediction of the arrival profiles several signals downstream from a known starting flow. This modeling approach can be used to estimate queue lengths and predict travel times, even in cases in which data from loop detectors are unknown, inaccurate, or aggregated. The proposed model was applied to two real-world test sites. The queues estimated with the model are in close agreement with the results from microscopic simulation.

Signal dispersion measurements on the gas detector volume of a dual-energy multimedia digital imaging sensor

2003 ◽  
Vol 52 (5) ◽  
pp. 1566-1572
Author(s):  
G.C. Giakos ◽  
S. Chowdhury ◽  
N. Shah ◽  
S. Guntupalli ◽  
S. Vedantham ◽  
...  
Keyword(s):  
Digital Imaging ◽  
Dual Energy ◽  
Gas Detector ◽  
Imaging Sensor ◽  
Detector Volume
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