scholarly journals Design and performance prediction of large-area hybrid gamma imaging system (LAHGIS) for localization of low-level radioactive material

2020 ◽  
Author(s):  
Hyun Su Lee ◽  
Jae Hyeon Kim ◽  
Junyoung Lee ◽  
Chan Hyeong Kim
Keyword(s):  
Performance Prediction ◽  
Imaging System ◽  
Radioactive Material ◽  
Large Area ◽  
Gamma Imaging ◽  
Low Level ◽  
And Performance

Recent Progress in Low-Level Gamma Imaging

2007 ◽  
Author(s):  
C. Mahe´ ◽  
F. Lamadie ◽  
Ph. Girones ◽  
C. Le Goaller
Keyword(s):  
Dose Rate ◽  
Gamma Spectrometry ◽  
Imaging System ◽  
Gamma Imaging ◽  
Low Level ◽  
Nuclear Plants ◽  
Specific Assessment ◽  
Portable System ◽  
Complementary Techniques

The CEA’s Aladin gamma imaging system has been operated successfully for several years in nuclear plants and during decommissioning projects with additional tools such as gamma spectrometry detectors and dose rate probes. The radiological information supplied by these devices is becoming increasingly useful for establishing robust and optimized decommissioning scenarios. Recent technical improvements allow this gamma imaging system to be operated in low-level applications and with shorter acquisition times suitable for decommissioning projects. The compact portable system can be used in places inaccessible to operators. It is quick and easy to implement, notably for onsite component characterization. Feasibility trials and in situ measurements were recently carried out under low-level conditions, mainly on waste packages and glove boxes for decommissioning projects. This paper describes recent low-level in situ applications. These characterization campaigns mainly concerned gamma emitters with γ energy < 700 keV. In many cases, the localization of hot spots by gamma camera was confirmed by additional measurements such as dose rate mapping and gamma spectrometry measurements. These complementary techniques associated with advanced calculation codes (MCNP, Mercure 6.2, Visiplan and Siren) offer a mobile and compact tool for specific assessment of waste packages and glove boxes.

scholarly journals Design, Fabrication, and Performance Evaluation of Portable and Large-Area Blackbody System

Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5836
Author(s):  
Ji Yong Bae ◽  
Won Choi ◽  
Suk-Ju Hong ◽  
Sangyeon Kim ◽  
Eungchan Kim ◽  
...  
Keyword(s):  
Infrared Imaging ◽  
Imaging System ◽  
Thermal Response ◽  
Reference Source ◽  
Insulation Material ◽  
Large Area ◽  
Operation Performance ◽  
Noise Equivalent Temperature Difference ◽  
And Performance ◽  
Signal Transfer Function

In this study, a portable and large-area blackbody system was developed following a series of processes including design, computational analysis, fabrication, and experimental analysis and evaluation. The blackbody system was designed to be lightweight (5 kg), and its temperature could exceed the ambient temperature by up to 15 °C under operation. A carbon-fiber-based heat source was used to achieve a uniform temperature distribution. A heat shield fabricated from an insulation material was embedded at the opposite side of the heating element to minimize heat loss. A prototype of the blackbody system was fabricated based on the design and transient coupled electro-thermal simulation results. The operation performance of this system, such as the thermal response, signal transfer function, and noise equivalent temperature difference, was evaluated by employing an infrared imaging system. In addition, emissivity was measured during operation. The results of this study show that the developed portable and large-area blackbody system can be expected to serve as a reliable reference source for the calibration of aerial infrared images for the application of aerial infrared techniques to remote sensing.

Design and performance investigation of a multi-pinhole collimator for a small field of view gamma imaging system

2014 ◽  
Vol 64 (7) ◽  
pp. 970-975 ◽  
Author(s):  
Jaekeon Bae ◽  
Seungbin Bae ◽  
Kisung Lee ◽  
Yong Choi ◽  
Yongkwon Kim ◽  
...  
Keyword(s):  
Imaging System ◽  
Field Of View ◽  
Small Field ◽  
Gamma Imaging ◽  
Pinhole Collimator ◽  
And Performance ◽  
Small Field Of View

Exploring The Effect of Visual Information Degradation on Human Perception and Performance In A Human-Telerobot System

2020 ◽  
Vol 64 (1) ◽  
pp. 1302-1307
Author(s):  
Richard Stone ◽  
Minglu Wang ◽  
Thomas Schnieders ◽  
Esraa Abdelall
Keyword(s):  
Visual Information ◽  
Human Perception ◽  
Low Level ◽  
Hit Rate ◽  
Word Level ◽  
Level Of Automation ◽  
Significant Difference ◽  
Human Operators ◽  
And Performance ◽  
High Level

Human-robotic interaction system are increasingly becoming integrated into industrial, commercial and emergency service agencies. It is critical that human operators understand and trust automation when these systems support and even make important decisions. The following study focused on human-in-loop telerobotic system performing a reconnaissance operation. Twenty-four subjects were divided into groups based on level of automation (Low-Level Automation (LLA), and High-Level Automation (HLA)). Results indicated a significant difference between low and high word level of control in hit rate when permanent error occurred. In the LLA group, the type of error had a significant effect on the hit rate. In general, the high level of automation was better than the low level of automation, especially if it was more reliable, suggesting that subjects in the HLA group could rely on the automatic implementation to perform the task more effectively and more accurately.

Epistemic self-esteem of philosophers in the face of philosophical disagreement

Human Affairs ◽  
2020 ◽  
Vol 30 (3) ◽  
pp. 328-342
Author(s):  
László Bernáth ◽  
János Tőzsér
Keyword(s):  
Self Esteem ◽  
Moderate Level ◽  
Significant Extent ◽  
Fourth Section ◽  
Philosophical Beliefs ◽  
Low Level ◽  
The Third ◽  
Epistemic Peers ◽  
The Face ◽  
And Performance

AbstractOur paper consists of four parts. In the first part, we describe the challenge of the pervasive and permanent philosophical disagreement over philosophers’ epistemic self-esteem. In the second part, we investigate the attitude of philosophers who have high epistemic self-esteem even in the face of philosophical disagreement and who believe they have well-grounded philosophical knowledge. In the third section, we focus on the attitude of philosophers who maintain a moderate level of epistemic self-esteem because they do not attribute substantive philosophical knowledge to themselves but still believe that they have epistemic right to defend substantive philosophical beliefs. In the fourth section, we analyse the attitude of philosophers who have a low level of epistemic self-esteem in relation to substantive philosophical beliefs and make no attempt to defend those beliefs. We argue that when faced with philosophical disagreement philosophers either have to deny that the dissenting philosophers are their epistemic peers or have to admit that doing philosophy is less meaningful than it seemed before. In this second case, philosophical activity and performance should not contribute to the philosophers’ overall epistemic self-esteem to any significant extent.

scholarly journals Rapid Single Image-Based DTM Estimation from ExoMars TGO CaSSIS Images Using Generative Adversarial U-Nets

2021 ◽  
Vol 13 (15) ◽  
pp. 2877
Author(s):  
Yu Tao ◽  
Siting Xiong ◽  
Susan J. Conway ◽  
Jan-Peter Muller ◽  
Anthony Guimpier ◽  
...  
Keyword(s):  
High Resolution ◽  
Large Scale ◽  
Imaging System ◽  
Landing Site ◽  
Parameter Tuning ◽  
Processing Parameters ◽  
Input Image ◽  
Large Area ◽  
Laser Altimeter ◽  
Imaging Science

The lack of adequate stereo coverage and where available, lengthy processing time, various artefacts, and unsatisfactory quality and complexity of automating the selection of the best set of processing parameters, have long been big barriers for large-area planetary 3D mapping. In this paper, we propose a deep learning-based solution, called MADNet (Multi-scale generative Adversarial u-net with Dense convolutional and up-projection blocks), that avoids or resolves all of the above issues. We demonstrate the wide applicability of this technique with the ExoMars Trace Gas Orbiter Colour and Stereo Surface Imaging System (CaSSIS) 4.6 m/pixel images on Mars. Only a single input image and a coarse global 3D reference are required, without knowing any camera models or imaging parameters, to produce high-quality and high-resolution full-strip Digital Terrain Models (DTMs) in a few seconds. In this paper, we discuss technical details of the MADNet system and provide detailed comparisons and assessments of the results. The resultant MADNet 8 m/pixel CaSSIS DTMs are qualitatively very similar to the 1 m/pixel HiRISE DTMs. The resultant MADNet CaSSIS DTMs display excellent agreement with nested Mars Reconnaissance Orbiter Context Camera (CTX), Mars Express’s High-Resolution Stereo Camera (HRSC), and Mars Orbiter Laser Altimeter (MOLA) DTMs at large-scale, and meanwhile, show fairly good correlation with the High-Resolution Imaging Science Experiment (HiRISE) DTMs for fine-scale details. In addition, we show how MADNet outperforms traditional photogrammetric methods, both on speed and quality, for other datasets like HRSC, CTX, and HiRISE, without any parameter tuning or re-training of the model. We demonstrate the results for Oxia Planum (the landing site of the European Space Agency’s Rosalind Franklin ExoMars rover 2023) and a couple of sites of high scientific interest.

Experimental and computer aided solubility quantification of diverse lignins and performance prediction

2021 ◽  
Vol 57 (14) ◽  
pp. 1782-1785
Author(s):  
Olumoye Ajao ◽  
Marzouk Benali ◽  
Naïma El Mehdi
Keyword(s):  
Performance Prediction ◽  
Solvent Fractionation ◽  
Computer Aided ◽  
And Performance

New insights on the variability of solubility elucidated for diverse lignins, quantification thereby makes it possible to predict performance for solvent fractionation processes and polymers formulation.

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