scholarly journals Experimental Fire Measurement with UAV Multimodal Stereovision

2020 ◽  
Vol 12 (21) ◽  
pp. 3546
Author(s):  
Vito Ciullo ◽  
Lucile Rossi ◽  
Antoine Pieri
Keyword(s):  
Vision System ◽  
Processing Technologies ◽  
Geometric Characteristics ◽  
The Past ◽  
Spectral Bands ◽  
Camera Systems ◽  
Research Systems ◽  
Infrared Spectral ◽  
Aerial Vehicle ◽  
Multimodal Images

In wildfire research, systems that are able to estimate the geometric characteristics of fire, in order to understand and model the behavior of this spreading and dangerous phenomenon, are required. Over the past decade, there has been a growing interest in the use of computer vision and image processing technologies. The majority of these works have considered multiple mono-camera systems, merging the information obtained from each camera. Recent studies have introduced the use of stereovision in this field; for example, a framework with multiple ground stereo pairs of cameras has been developed to measure fires spreading for about 10 meters. This work proposes an unmanned aerial vehicle multimodal stereovision framework which allows for estimation of the geometric characteristics of fires propagating over long distances. The vision system is composed of two cameras operating simultaneously in the visible and infrared spectral bands. The main result of this work is the development of a portable drone system which is able to obtain georeferenced stereoscopic multimodal images associated with a method for the estimation of fire geometric characteristics. The performance of the proposed system is tested through various experiments, which reveal its efficiency and potential for use in monitoring wildfires.

scholarly journals An infrared spectral biomarker accurately predicts neurodegenerative disease class in the absence of overt symptoms

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Lila Lovergne ◽  
Dhruba Ghosh ◽  
Renaud Schuck ◽  
Aris A. Polyzos ◽  
Andrew D. Chen ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Neurodegenerative Disease ◽  
High Probability ◽  
Behavioral Characteristics ◽  
Brain Pathology ◽  
Disease Class ◽  
The Past ◽  
Infrared Spectral ◽  
New Biomarkers ◽  
Physiological Indicator

AbstractAlthough some neurodegenerative diseases can be identified by behavioral characteristics relatively late in disease progression, we currently lack methods to predict who has developed disease before the onset of symptoms, when onset will occur, or the outcome of therapeutics. New biomarkers are needed. Here we describe spectral phenotyping, a new kind of biomarker that makes disease predictions based on chemical rather than biological endpoints in cells. Spectral phenotyping uses Fourier Transform Infrared (FTIR) spectromicroscopy to produce an absorbance signature as a rapid physiological indicator of disease state. FTIR spectromicroscopy has over the past been used in differential diagnoses of manifest disease. Here, we report that the unique FTIR chemical signature accurately predicts disease class in mouse with high probability in the absence of brain pathology. In human cells, the FTIR biomarker accurately predicts neurodegenerative disease class using fibroblasts as surrogate cells.

scholarly journals Application of Artificial Intelligence in Food Industry—a Guideline

2021 ◽  
Author(s):  
Nidhi Rajesh Mavani ◽  
Jarinah Mohd Ali ◽  
Suhaili Othman ◽  
M. A. Hussain ◽  
Haslaniza Hashim ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Systems ◽  
Food Industry ◽  
Near Infrared ◽  
Vision System ◽  
Electronic Tongue ◽  
World Population ◽  
Computer Vision System ◽  
The Past

AbstractArtificial intelligence (AI) has embodied the recent technology in the food industry over the past few decades due to the rising of food demands in line with the increasing of the world population. The capability of the said intelligent systems in various tasks such as food quality determination, control tools, classification of food, and prediction purposes has intensified their demand in the food industry. Therefore, this paper reviews those diverse applications in comparing their advantages, limitations, and formulations as a guideline for selecting the most appropriate methods in enhancing future AI- and food industry–related developments. Furthermore, the integration of this system with other devices such as electronic nose, electronic tongue, computer vision system, and near infrared spectroscopy (NIR) is also emphasized, all of which will benefit both the industry players and consumers.

Trend Analysis of Unmanned Aerial Vehicles (UAVs) Research Published in the HFES Proceedings

2018 ◽  
Vol 62 (1) ◽  
pp. 1067-1071
Author(s):  
Salim A. Mouloua ◽  
James Ferraro ◽  
Mustapha Mouloua ◽  
P.A. Hancock
Keyword(s):  
Human Factors ◽  
Unmanned Aerial Vehicles ◽  
Unmanned Aerial Vehicle ◽  
Supervisory Control ◽  
Research Trends ◽  
Government Agencies ◽  
The Past ◽  
Human Factors And Ergonomics ◽  
Aerial Vehicles ◽  
Aerial Vehicle

The present study was designed to examine the research trends in the literature focusing on Human Factors issues relevant to Unmanned Aerial Vehicle (UAV) systems. As these UAV technologies continue to proliferate with increasing autonomy and supervisory control requirements, it is crucial to evaluate the current and emerging research trends across the generations. This paper reviews the research trends of 228 papers matching our search criteria. The search retained only relevant and complete papers published over the past thirty years (1988-2017) in the Proceedings of the Human Factors and Ergonomics Society. Results were tabulated, graphed, and discussed based on research categories, topic areas, authors’ affiliation, and sources of funding. Results showed a substantial increase in the number of articles in the last two decades, with most papers driven by academic institutions and military and government agencies.

scholarly journals Les alliances technologiques stratégiques: de la théorie à la situation canadienne

2005 ◽  
Vol 22 (1) ◽  
pp. 63-80 ◽  
Author(s):  
Jorge Niosi ◽  
Maryse Bergeron ◽  
Michèle Sawchuck
Keyword(s):  
Imperfect Competition ◽  
Industrial Sector ◽  
Business Administration ◽  
International Competition ◽  
Perfect Competition ◽  
Processing Technologies ◽  
The Past ◽  
Technological Cooperation ◽  
Japanese Corporations ◽  
Informal Cooperation

Technological cooperation between business enterprises has become common-place over the past ten years or so, following an increase in the uncertainty, risk, and costs of research and development brought about by growing international competition and the unsettling impact of data processing technologies (and to a lesser degree biotechnologies) throughout the entire industrial sector. Strategies in R&D cooperation, first adopted by Japanese corporations, were copied by European firms in the early 80s and then by American and Canadian corporations later on. Governments have got in on the action through policies for encouragement of collective R&D. Current theories in economies and business administration are not very useful for understanding this phenomenon. Neo-classical economies' assumption of perfect competition, as well as dissertations on product obsolescence and transaction costs, permeate theories in business administration and do not help us comprehend this new organizational phenomenon. We have, however, come across some crucial leads towards an explanation in certain models of imperfect competition and in managerial studies on informal cooperation by businesses in R&D.

scholarly journals Application of Shore-Based Video and Unmanned Aerial Vehicles (Drones): Complementary Tools for Beach Studies

2020 ◽  
Vol 12 (3) ◽  
pp. 394 ◽  
Author(s):  
Donatus Bapentire Angnuureng ◽  
Philip-Neri Jayson-Quashigah ◽  
Rafael Almar ◽  
Thomas Christian Stieglitz ◽  
Edward Jamal Anthony ◽  
...  
Keyword(s):  
Low Cost ◽  
Video Camera ◽  
Video Data ◽  
Camera System ◽  
Camera Systems ◽  
Camera View ◽  
Aerial Vehicle ◽  
One Year ◽  
Video Camera System ◽  
Good Agreement

Video camera systems have been used over nearly three decades to monitor coastal dynamics. They facilitate a high-frequency analysis of spatiotemporal shoreline mobility. Video camera usage to measure beach intertidal profile evolution has not been standardized globally and the capacity to obtain accurate results requires authentication using various techniques. Applications are mostly site specific due to differences in installation. The present study examines the accuracy of intertidal topographic data derived from a video camera system compared to data acquired with unmanned aerial vehicle (UAV, or drone) surveys of a reflective beach. Using one year of 15-min video data and one year of monthly UAV observations, the intertidal profile shows a good agreement. Underestimations of intertidal profile elevations by the camera-based method are possibly linked to the camera view angle, rectification and gaps in data. The resolution of the video-derived intertidal topographic profiles confirmed, however, the suitability of the method in providing beach mobility surveys matching those required for a quantitative analysis of nearshore changes. Beach slopes were found to vary between 0.1 and 0.7, with a steep slope in May to July 2018 and a gentle slope in December 2018. Large but short-scale beach variations occurred between August 2018 and October 2018 and corresponded to relatively high wave events. In one year, this dynamic beach lost 7 m. At this rate, and as also observed at other beaches nearby, important coastal facilities and infrastructure will be prone to erosion. The data suggest that a low-cost shore-based camera, particularly when used in a network along the coast, can produce profile data for effective coastal management in West Africa and elsewhere.

Application of Gas Chromatography/Matrix Isolation/Fourier Transform Infrared Spectroscopy to the Identification of Pyrrolizidine Alkaloids from Comfrey Root (Symphytum officinale L.)

1994 ◽  
Vol 77 (5) ◽  
pp. 1167-1174 ◽  
Author(s):  
Magdi M Mossoba ◽  
Hubert S Lin ◽  
Denis Andrzejewski ◽  
James A Sphon ◽  
Joseph M Betz ◽  
...  
Keyword(s):  
Gas Chromatography ◽  
Fourier Transform ◽  
Pyrrolizidine Alkaloids ◽  
Matrix Isolation ◽  
Fourier Transform Infrared ◽  
Root Extract ◽  
Spectral Bands ◽  
Infrared Spectral ◽  
Fingerprint Region ◽  
Positive Ion

Abstract This paper demonstrates that pyrrolizidine alkaloids (PAs) extracted from comfrey root grown in Washington State (USA) can be identified by gas chromatography/matrix isolation/Fourier transform infrared (GC/MI/FTIR) spectroscopy. Infrared spectral bands observed in the fingerprint region were unique even for closely related structures. The identities of the 4 major components, intermedine, lycopsamine, 7-acetylintermedine, and 7-acetylly-copsamine, were confirmed by comparison with standards. Confirmation was also obtained by using the established techniques of electron ionization and positive ion chemical ionization gas chro-matography/mass spectrometry. The infrared spectra observed for the components of the root extract were consistent with known structures of specific PAs. The identities of the minor components, sym-phytine and its isomers symlandine and/or sym-viridine, in the same extract were not confirmed.

scholarly journals Methodology for Indoor Positioning and Landing of an Unmanned Aerial Vehicle in a Smart Manufacturing Plant for Light Part Delivery

Electronics ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 1680
Author(s):  
Pedro Orgeira-Crespo ◽  
Carlos Ulloa ◽  
Guillermo Rey-Gonzalez ◽  
José Antonio Pérez García
Keyword(s):  
Vision System ◽  
Indoor Positioning ◽  
Smart Manufacturing ◽  
Manufacturing Plant ◽  
Wireless Mesh ◽  
Industrial Internet ◽  
Last Mile ◽  
Aerial Vehicle ◽  
On Chip ◽  
Valid Solution

Unmanned aerial vehicles (UAV) are spreading their usage in many areas, including last-mile distribution. In this research, a UAV is used for performing light parts delivery to workstation operators within a manufacturing plant, where GPS is no valid solution for indoor positioning. A generic localization solution is designed to provide navigation using RFID received signal strength measures and sonar values. A system on chip computer is onboarded with two missions: first, compute positioning and provide communication with backend software; second, provide an artificial vision system that cooperates with UAV’s navigation to perform landing procedures. An Industrial Internet of Things solution is defined for workstations to allow wireless mesh communication between the logistics vehicle and the backend software. Design is corroborated through experiments that validate planned solutions.

Properties of Magnetic Features from the Analysis of Near-Infrared Spectral Lines

1994 ◽  
Vol 154 ◽  
pp. 393-405
Author(s):  
Sami K. Solanki
Keyword(s):  
Near Infrared ◽  
Velocity Structure ◽  
Spectral Lines ◽  
The Past ◽  
Diagnostic Potential ◽  
Theoretical Predictions ◽  
Infrared Spectral ◽  
Magnetic Features

An overview is given of the structure and the physics of magnetic features in solar plages, as derived from observations of near-infrared lines. First, the diagnostic potential of near-infrared lines is compared with that of lines in the visible and at 12 μm. Then, the results on the magnetic and velocity structure of magnetic features obtained from 1.5 μm lines are described, discussed and compared with results of observations in the visible and with theoretical predictions. Finally, the past and present achievements of near-infrared investigations of Zeeman-split lines are summarized.

scholarly journals Applications of Landsat-8 Data: a Survey

2018 ◽  
Vol 7 (4.35) ◽  
pp. 436 ◽  
Author(s):  
M. A. Ridwan ◽  
N. A. M. Radzi ◽  
W. S. H. M. W. Ahmad ◽  
I. S. Mustafa ◽  
N. M. Din ◽  
...  
Keyword(s):  
Review Paper ◽  
Short Wave ◽  
Landsat 8 ◽  
Infrared Sensor ◽  
Power Utility ◽  
Spectral Bands ◽  
Utility Companies ◽  
Infrared Spectral ◽  
Thermal Region ◽  
To Come

Landsat 8 was launched in 2013 by the National Aeronautics and Space Administration (NASA). On board of the Landsat 8 is the Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS). Data for visible, panchromatic band, short-wave infrared spectral bands are collected by the OLI while TIRS collect images in the thermal region. As data for Landsat 8 is available to be used for public, researchers have utilized the data for numerous applications. However, to the best of our knowledge, there is yet a review paper on the various applications of Landsat 8 data. Hence, this paper presented an innovative survey on Landsat 8 data in the application of agriculture and forestry, land use and mapping, geology, hydrology, coastal resources and environmental monitoring. The potential of utilizing Landsat 8 data for power utility companies is also discussed in this paper. As Landsat 8 data is predicted to be available for more years to come, this paper provides insight for researchers to utilize the data better for their research. 

Sign in / Sign up

Export Citation Format

Share Document