scholarly journals Upscaling UAS Paradigm to UltraLight Aircrafts: A Low-Cost Multi-Sensors System for Large Scale Aerial Photogrammetry

2020 ◽  
Vol 12 (8) ◽  
pp. 1265 ◽  
Author(s):  
Nicolas Latte ◽  
Peter Gaucher ◽  
Corentin Bolyn ◽  
Philippe Lejeune ◽  
Adrien Michez
Keyword(s):  
Large Scale ◽  
Low Cost ◽  
Complete Information ◽  
Integration Time ◽  
Unmanned Aerial Systems ◽  
Price Ratio ◽  
High Quality ◽  
Technical Limitation ◽  
Aerial Photogrammetry ◽  
Operational Range

The use of unmanned aerial systems (UASs) has rapidly grown in many civil applications since the early 2010s. Nowadays, a large variety of reliable low-cost UAS sensors and controllers are available. However, contrary to ultralight aircrafts (ULAs), UASs have a too small operational range to efficiently cover large areas. Flight regulations prevailing in many countries further reduced this operational range; in particular, the “within visual line of sight” rule. This study presents a new system for image acquisition and high-quality photogrammetry of large scale areas (>10 km²). It was developed by upscaling the UAS paradigm, i.e., low-cost sensors and controllers, little (or no) on-board active stabilization, and adequate structure from motion photogrammetry, to an ULA platform. Because the system is low-cost (good quality-price ratio of UAS technologies), multi-sensors (large variety of available UAS sensors) and versatile (high ULA operational flexibility and more lenient regulation than for other platforms), the possible applications are numerous in miscellaneous research domains. The system was described in detail and illustrated from the flight and images acquisition to the photogrammetric routine. The system was successfully used to acquire high resolution and high quality RGB and multispectral images, and produced precisely georeferenced digital elevation model (DEM) and orthophotomosaics for a forested area of 1200 ha. The system can potentially carry any type of sensors. The system compatibility with any sensor can be tested, in terms of image quality and flight plan, with the proposed method. This study also highlighted a major technical limitation of the low-cost thermal infrared cameras: the too high integration time with respect to the flight speed of most UASs and ULAs. By providing the complete information required for reproducing the system, the authors seek to encourage its implementation in different geographical locations and scientific contexts, as well as, its combination with other sensors, in particular, laser imaging detection and ranging (LiDAR) and hyperspectral.

A Vision-Based Gap Detection Method during the Placement of Large-Scale Composite Structures

2011 ◽  
Vol 186 ◽  
pp. 11-15
Author(s):  
Li Cao ◽  
Wen Chen ◽  
Jun Xiao
Keyword(s):  
Image Processing ◽  
Video Processing ◽  
Composite Structures ◽  
Large Scale ◽  
Low Cost ◽  
High Quality ◽  
Detection Technology ◽  
Gap Measurement ◽  
Automatic Placement ◽  
On Line

Video processing technology is regarded as a low-cost detection technology in complex environment. Because the placement layer is thin and the surface is complex that causes high detection error and high cost in laser measurement. Two problems must be solved before using it in large-scale composite structures automatic placement. One is to obtain the high-quality and stable image, and the other is to improve efficiency of image processing. In this paper, a method obtaining the high quality placement gap images was studied. It made use of the optical characteristics of composite material’s surface texture. And some parameters were determined by experiments. To reduce the calculation cost of image processing, a placement gap measurement method based on line scanning was also proposed here. The method was effective in our detection experiments on an actual workpiece.

scholarly journals Extensive Screening of Green Solvents for Safe and Sustainable UiO-66 Synthesis

2020 ◽  
Author(s):  
Diletta Morelli Venturi ◽  
Filippo Campana ◽  
Fabio Marmottini ◽  
Ferdinando Costantino ◽  
Luigi Vaccaro
Keyword(s):  
Large Scale ◽  
Low Cost ◽  
Metal Organic Framework ◽  
Dimethyl Formamide ◽  
Scale Production ◽  
Green Solvents ◽  
High Quality ◽  
Color Code ◽  
Large Scale Production ◽  
Metal Organic

<p>Zirconium based Metal-Organic Framework UiO-66 is to date considered one of the benchmark compound among stable MOFs and it has attracted a huge attention for its employment in many strategic applications. Large scale production of UiO-66 for industrial purposes requires the use of safe and green solvents, fulfilling the green chemistry principles and able to replace the use of <i>N,N</i>-Dimethyl-Formamide (DMF), which, despite its toxicity, is still considered the most efficient solvent for obtaining UiO-66 of high quality. Herein we report on a survey of about 40 different solvents with different polarity, boiling point and acidity, used for the laboratory scale synthesis of high quality UiO-66 crystals. The solvents were chosen according the European REACH Regulation 1907/2006 among those having low cost, low toxicity and fully biodegradable. Concerning MOF synthesis, the relevant parameters chosen for establishing the quality of the results obtained are the degree are the crystallinity, microporosity and specific surface area, yield and solvent recyclability. Taking into account also the chemical physical properties of all the solvents, a color code was assigned in order to give a final green assessment for the UiO-66 synthesis. Defectivity of the obtained products, the use of acidic modulators and the use of alternative Zr-salts have been also taken into consideration. Preliminary results lead to conclude that GVL (γ-valerolactone) is among the most promising solvents for replacing DMF in UiO-66 MOF synthesis. </p>

scholarly journals Extensive Screening of Green Solvents for Safe and Sustainable UiO-66 Synthesis

2020 ◽  
Author(s):  
Diletta Morelli Venturi ◽  
Filippo Campana ◽  
Fabio Marmottini ◽  
Ferdinando Costantino ◽  
Luigi Vaccaro
Keyword(s):  
Large Scale ◽  
Low Cost ◽  
Metal Organic Framework ◽  
Dimethyl Formamide ◽  
Scale Production ◽  
Green Solvents ◽  
High Quality ◽  
Color Code ◽  
Large Scale Production ◽  
Metal Organic

<p>Zirconium based Metal-Organic Framework UiO-66 is to date considered one of the benchmark compound among stable MOFs and it has attracted a huge attention for its employment in many strategic applications. Large scale production of UiO-66 for industrial purposes requires the use of safe and green solvents, fulfilling the green chemistry principles and able to replace the use of <i>N,N</i>-Dimethyl-Formamide (DMF), which, despite its toxicity, is still considered the most efficient solvent for obtaining UiO-66 of high quality. Herein we report on a survey of about 40 different solvents with different polarity, boiling point and acidity, used for the laboratory scale synthesis of high quality UiO-66 crystals. The solvents were chosen according the European REACH Regulation 1907/2006 among those having low cost, low toxicity and fully biodegradable. Concerning MOF synthesis, the relevant parameters chosen for establishing the quality of the results obtained are the degree are the crystallinity, microporosity and specific surface area, yield and solvent recyclability. Taking into account also the chemical physical properties of all the solvents, a color code was assigned in order to give a final green assessment for the UiO-66 synthesis. Defectivity of the obtained products, the use of acidic modulators and the use of alternative Zr-salts have been also taken into consideration. Preliminary results lead to conclude that GVL (γ-valerolactone) is among the most promising solvents for replacing DMF in UiO-66 MOF synthesis. </p>

Data Science and Knowledge Analytic Contexts on IoE Data for E-BI Application Case

2019 ◽  
pp. 100-126
Author(s):  
Nilamadhab Mishra
Keyword(s):  
Large Scale ◽  
Data Science ◽  
Low Cost ◽  
Edge Computing ◽  
The Other ◽  
High Quality ◽  
Main Research ◽  
Cognitive Values ◽  
Research Challenge

The progressive data science and knowledge analytic tasks are gaining popularity across various intellectual applications. The main research challenge is to obtain insight from large-scale IoE data that can be used to produce cognitive actuations for the applications. The time to insight is very slow, quality of insight is poor, and cost of insight is high; on the other hand, the intellectual applications require low cost, high quality, and real-time frameworks and algorithms to massively transform their data into cognitive values. In this chapter, the author would like to discuss the overall data science and knowledge analytic contexts on IoE data that are generated from smart edge computing devices. In an IoE-driven e-BI application, the e-consumers are using the smart edge computing devices from which a huge volume of IoE data are generated, and this creates research challenges to traditional data science and knowledge analytic mechanisms. The consumer-end IoE data are considered the potential sources to massively turn into the e-business goldmines.

scholarly journals Metrics for the Quantification of Seeding Characteristics to Enhance Image Velocimetry Performance in Rivers

2020 ◽  
Vol 12 (11) ◽  
pp. 1789 ◽  
Author(s):  
Silvano Fortunato Dal Sasso ◽  
Alonso Pizarro ◽  
Salvatore Manfreda
Keyword(s):  
Water Resource Management ◽  
Large Scale ◽  
River Flow ◽  
Low Cost ◽  
A Priori ◽  
Surface Flow ◽  
Seeding Density ◽  
Unmanned Aerial Systems ◽  
Flow Monitoring ◽  
Image Velocimetry

River flow monitoring is essential for many hydraulic and hydrologic applications related to water resource management and flood forecasting. Currently, unmanned aerial systems (UASs) combined with image velocimetry techniques provide a significant low-cost alternative for hydraulic monitoring, allowing the estimation of river stream flows and surface flow velocities based on video acquisitions. The accuracy of these methods tends to be sensitive to several factors, such as the presence of floating materials (transiting onto the stream surface), challenging environmental conditions, and the choice of a proper experimental setting. In most real-world cases, the seeding density is not constant during the acquisition period, so it is not unusual for the patterns generated by tracers to have non-uniform distribution. As a consequence, these patterns are not easily identifiable and are thus not trackable, especially during floods. We aimed to quantify the accuracy of particle tracking velocimetry (PTV) and large-scale particle image velocimetry (LSPIV) techniques under different hydrological and seeding conditions using footage acquired by UASs. With this aim, three metrics were adopted to explore the relationship between seeding density, tracer characteristics, and their spatial distribution in image velocimetry accuracy. The results demonstrate that prior knowledge of seeding characteristics in the field can help with the use of these techniques, providing a priori evaluation of the quality of the frame sequence for post-processing.

scholarly journals Validating UAS-Based Photogrammetry with Traditional Topographic Methods for Surveying Dune Ecosystems in the Spanish Mediterranean Coast

2019 ◽  
Vol 7 (9) ◽  
pp. 297 ◽  
Author(s):  
Luis Bañón ◽  
José Ignacio Pagán ◽  
Isabel López ◽  
Carlos Banon ◽  
Luis Aragonés
Keyword(s):  
Low Cost ◽  
Temporal Frequency ◽  
Satellite System ◽  
Mean Value ◽  
Mediterranean Coast ◽  
Unmanned Aerial Systems ◽  
Aerial Photogrammetry ◽  
The One ◽  
Global Navigation Satellite ◽  
Aerial Systems

In the past few years, unmanned aerial systems (UAS) have achieved great popularity for civil uses. One of the present main uses of these devices is low-cost aerial photogrammetry, being especially useful in coastal environments. In this work, a high-resolution 3D model of a beach section in Guardamar del Segura (Spain) has been produced by employing a low maximum takeoff mass (MTOM) UAS, in combination with the use of structure-from-motion (SfM) techniques. An unprecedented extensive global navigation satellite system (GNSS) survey was simultaneously carried out to statistically validate the model by employing 1238 control points for that purpose. The results show good accuracy, obtaining a vertical root mean square error (RMSE) mean value of 0.121 m and a high point density, close to 30 pt/m2, with similar or even higher quality than most coastal surveys performed with classical techniques. UAS technology permits the acquisition of topographic data with low time-consuming surveys at a high temporal frequency. Coastal managers can implement this methodology into their workflow to study the evolution of complex, highly anthropized dune-beach systems such as the one presented in this study, obtaining more accurate surveys at lower costs.

Preparation of high-quality graphene using triggered microwave reduction under an air atmosphere

2018 ◽  
Vol 6 (7) ◽  
pp. 1829-1835 ◽  
Author(s):  
Wen-Shuai Jiang ◽  
Chao Yang ◽  
Guo-Xing Chen ◽  
Xiao-Qing Yan ◽  
Shao-Nan Chen ◽  
...  
Keyword(s):  
Large Scale ◽  
Reduction Method ◽  
Low Cost ◽  
Scale Production ◽  
High Quality ◽  
Air Atmosphere ◽  
Large Scale Production

High-quality intrinsic graphene can be prepared by a simple triggered microwave reduction method under air conditions, which provides a simple and low-cost route for large-scale production of high-quality graphene.

Sulfur-assisted Large-scale Synthesis of Graphene Microspheres for Superior Potassium-ion Batteries

2021 ◽  
Author(s):  
Qingfeng Zhang ◽  
Xueli Cheng ◽  
Chengxin Wang ◽  
Apparao M.Rao ◽  
Bingan Lu
Keyword(s):  
Energy Storage ◽  
Large Scale ◽  
Low Cost ◽  
Potassium Ion ◽  
High Quality ◽  
Preparation Methods ◽  
Benzene Rings ◽  
Large Scale Synthesis

Large-scale low-cost preparation methods for high quality graphene are critical for advancing graphene-based applications in energy storage, and beyond. Here, we present a sulfur-assisted method that converts benzene rings of...

SYNTHESIZING A WELL-ALIGNED CARBON NANOTUBE FOREST WITH HIGH QUALITY VIA THE NEBULIZED SPRAY PYROLYSIS METHOD BY OPTIMIZING ULTRASONIC FREQUENCY

NANO ◽  
2011 ◽  
Vol 06 (04) ◽  
pp. 343-348 ◽  
Author(s):  
ZHI YANG ◽  
HUAGUI NIE ◽  
XUEMEI ZHOU ◽  
ZHEN YAO ◽  
SHAOMING HUANG ◽  
...  
Keyword(s):  
Spray Pyrolysis ◽  
Large Scale ◽  
Low Cost ◽  
Spray Pyrolysis Method ◽  
Ultrasonic Frequency ◽  
High Quality ◽  
Graphitization Degree ◽  
Aligned Carbon Nanotubes ◽  
Nebulized Spray Pyrolysis ◽  
Process Method

Nebulized spray pyrolysis (NSP) offers ease of scaling into an industrial scale process method for large-scale CNT synthesis. In the method, ultrasonic frequency plays an important role in the formation of well-aligned carbon nanotubes (CNTs). In this work, we obtain well-aligned CNTs with high quality by optimizing ultrasonic frequency via the NSP method. SEM, TEM and HRTEM results show that the aligned CNTs obtained under an ultrasonic frequency of 1.8 MHz have good alignment, uniform nanotube length (~200 μm), high density and no trace of other carbon nanoparticles. The Raman spectra result further confirms that the aligned CNTs have a high graphitization degree. Furthermore, we find that ultrasonic frequency is an important factor in determining the nanotube diameter. The higher the ultrasonic frequency, the smaller the nanotube diameter. This rule may be very helpful in the preparation of large-scale well-aligned CNTs with high quality and diameter-controlled at low cost.

scholarly journals Wafer-scale fabrication of high-quality tunable gold nanogap arrays for surface-enhanced Raman scattering

Nanoscale ◽  
2019 ◽  
Vol 11 (25) ◽  
pp. 12152-12160 ◽  
Author(s):  
Hai Le-The ◽  
Jasper J. A. Lozeman ◽  
Marta Lafuente ◽  
Pablo Muñoz ◽  
Johan G. Bomer ◽  
...  
Keyword(s):  
Raman Scattering ◽  
Large Scale ◽  
Low Cost ◽  
Surface Enhanced Raman Scattering ◽  
Robust Method ◽  
High Quality ◽  
Wafer Scale ◽  
Surface Enhanced ◽  
Surface Enhanced Raman ◽  
Enhanced Raman Scattering

A robust method is developed for large-scale fabrication of high-quality tunable gold nanogap arrays at low-cost for surface-enhanced Raman scattering.

Sign in / Sign up

Export Citation Format

Share Document