Optimum Design of the Cooperation Objective for Computer Vision-Based UAV Autonomous Landing

2013 ◽  
Vol 718-720 ◽  
pp. 1221-1227
Author(s):  
Dong Wu Feng ◽  
Gui Li Xu ◽  
Biao Wang ◽  
Yu Peng Tian ◽  
Yong Qiang Ye
Keyword(s):  
Computer Vision ◽  
Detailed Analysis ◽  
Optimum Design ◽  
Infrared Imaging ◽  
Basic Research ◽  
Simulation Software ◽  
Autonomous Landing ◽  
Novel Approach ◽  
Fluent Simulation ◽  
Main Factors

In this paper, a novel approach to improve the infrared cooperative object for accurately landing is proposed. We present the designed cooperative object system and the blurring around the object when its working, and then begin our basic research on the cooperative object. We analyzed the formation principle of thermal blurring in the infrared imaging mechanism. After a detailed analysis infrared thermal blurring from thermodynamic principle, we derived the main factors of the infrared thermal blurring, and used Fluent simulation software to simulate the formation of thermal blurring. At the same time, the paper optimized the design of cooperation target to reduce thermal blurring. Experiments show that the optimum design of the cooperation objectives thermal blurring has significantly improved compared with some other methods.

scholarly journals Geometric and Topological Bases of a New Classification of Wood Vascular Tissues Part 1: Shape and Arrangement Classifications of Vessels

2021 ◽  
Vol 13 (14) ◽  
pp. 7545
Author(s):  
Nikolai Bardarov ◽  
Vladislav Todorov ◽  
Nicole Christoff
Keyword(s):  
Computer Vision ◽  
Detailed Analysis ◽  
Tree Species ◽  
Complete Solution ◽  
New Classification ◽  
Topological Characteristics ◽  
Definition Of ◽  
Wood Science ◽  
Quantitative Indicators

The need to identify wood by its anatomical features requires a detailed analysis of all the elements that make it up. This is a significant problem of structural wood science, the most general and complete solution of which is yet to be sought. In recent years, increasing attention has been paid to the use of computer vision methods to automate processes such as the detection, identification, and classification of different tissues and different tree species. The more successful use of these methods in wood anatomy requires a more precise and comprehensive definition of the anatomical elements, according to their geometric and topological characteristics. In this article, we conduct a detailed analysis of the limits of variation of the location and grouping of vessels in the observed microscopic samples. The present development offers criteria and quantitative indicators for defining the terms shape, location, and group of wood tissues. It is proposed to differentiate the quantitative indicators of the vessels depending on their geometric and topological characteristics. Thus, with the help of computer vision technics, it will be possible to establish topological characteristics of wood vessels, the extraction of which would be used to develop an algorithm for the automatic classification of tree species.

scholarly journals Close-Range Photogrammetry and Infrared Imaging for Non-Invasive Honeybee Hive Population Assessment

2018 ◽  
Vol 7 (9) ◽  
pp. 350 ◽  
Author(s):  
Luis López-Fernández ◽  
Susana Lagüela ◽  
Pablo Rodríguez-Gonzálvez ◽  
José Martín-Jiménez ◽  
Diego González-Aguilera
Keyword(s):  
Computer Vision ◽  
Infrared Imaging ◽  
Imaging Techniques ◽  
Population Level ◽  
Non Invasive ◽  
Close Range Photogrammetry ◽  
3D Geometry ◽  
Thermographic Imaging ◽  
Close Range ◽  
Bee Colonies

Close-range photogrammetry and thermographic imaging techniques are used for the acquisition of all the data needed for the non-invasive assessment of a honeybee hive population. Temperature values complemented with precise 3D geometry generated using novel close-range photogrammetric and computer vision algorithms are used for the computation of the inner beehive temperature at each point of its surface. The methodology was validated through its application to three reference beehives with different population levels. The temperatures reached by the exterior surfaces of the hives showed a direct correlation with the population level. In addition, the knowledge of the 3D reality of the hives and the position of each temperature value allowed the positioning of the bee colonies without the need to open the hives. This way, the state of honeybee hives regarding the growth of population can be estimated without disturbing its natural development.

scholarly journals Goals and Challenges of Stem Cell-Based Therapy for Corneal Blindness Due to Limbal Deficiency

Pharmaceutics ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1483
Author(s):  
Margarita Calonge ◽  
Teresa Nieto-Miguel ◽  
Ana de la Mata ◽  
Sara Galindo ◽  
José M. Herreras ◽  
...  
Keyword(s):  
Stem Cell ◽  
Regenerative Medicine ◽  
Stem Cell Niche ◽  
Basic Research ◽  
Cell Based Therapy ◽  
Novel Approach ◽  
Corneal Blindness ◽  
Limbal Stem Cell ◽  
Cell Niche ◽  
The Right

Corneal failure is a highly prevalent cause of blindness. One special cause of corneal failure occurs due to malfunction or destruction of the limbal stem cell niche, upon which the superficial cornea depends for homeostatic maintenance and wound healing. Failure of the limbal niche is referred to as limbal stem cell deficiency. As the corneal epithelial stem cell niche is easily accessible, limbal stem cell-based therapy and regenerative medicine applied to the ocular surface are among the most highly advanced forms of this novel approach to disease therapy. However, the challenges are still great, including the development of cell-based products and understanding how they work in the patient’s eye. Advances are being made at the molecular, cellular, and tissue levels to alter disease processes and to reduce or eliminate blindness. Efforts must be coordinated from the most basic research to the most clinically oriented projects so that cell-based therapies can become an integrated part of the therapeutic armamentarium to fight corneal blindness. We undoubtedly are progressing along the right path because cell-based therapy for eye diseases is one of the most successful examples of global regenerative medicine.

scholarly journals A Novel Approach of Traffic Density Estimation Using CNNs and Computer Vision

2021 ◽  
Vol 5 (4) ◽  
pp. 80-84
Author(s):  
Luong Anh Tuan Nguyen ◽  
Thanh Xuan Ha
Keyword(s):  
Neural Networks ◽  
Computer Vision ◽  
Traffic Flow ◽  
Density Estimation ◽  
Traffic Density ◽  
Signal Control ◽  
Traffic Signal Control ◽  
Modern Life ◽  
Traffic Jam ◽  
Novel Approach

In modern life, we face many problems, one of which is the increasingly serious traffic jam. The cause is the large volume of vehicles, inadequate infrastructure and unreasonable distribution, and ineffective traffic signal control. This requires finding methods to optimize traffic flow, especially during peak hours. To optimize traffic flow, it is necessary to determine the traffic density at each time in the streets and intersections. This paper proposed a novel approach to traffic density estimation using Convolutional Neural Networks (CNNs) and computer vision. The experimental results with UCSD traffic dataset show that the proposed solution achieved the worst estimation rate of 98.48% and the best estimation rate of 99.01%.

scholarly journals Impact of Thermal Dissipation on the Lighting Performance and Useful Life of LED Luminaires Applied to Urban Lighting: A Case Study

2022 ◽  
Vol 19 (2) ◽  
pp. 752
Author(s):  
Juan de Dios Unión-Sánchez ◽  
Manuel Jesús Hermoso-Orzáez ◽  
Manuel Jesús Hervás-Pulido ◽  
Blas Ogáyar-Fernández
Keyword(s):  
Thermal Imaging ◽  
Simulation Software ◽  
Thermal Dissipation ◽  
Junction Temperature ◽  
Ansys Fluent ◽  
Imaging Camera ◽  
Fluent Simulation ◽  
Useful Life

Currently, LED technology is an established form of lighting in our cities and homes. Its lighting performance, durability, energy efficiency and light, together with the economic savings that its use implies, are displacing other classic forms of lighting. However, some problems associated with the durability of the equipment related to the problems of thermal dissipation and high temperature have begun to be detected, which end up affecting their luminous intensity and the useful life. There are many studies that show a direct relationship between the low quality of LED lighting and the aging of the equipment or its overheating, observing the depreciation of the intensity of the light and the visual chromaticity performance that can affect the health of users by altering circadian rhythms. On the other hand, the shortened useful life of the luminaires due to thermal stress has a direct impact on the LCA (Life Cycle Analysis) and its environmental impact, which indirectly affects human health. The purpose of this article is to compare the results previously obtained, at different contour temperatures, by theoretical thermal simulation of the 3D model of LED street lighting luminaires through the ANSYS Fluent simulation software. Contrasting these results with the practical results obtained with a thermal imaging camera, the study shows how the phenomenon of thermal dissipation plays a fundamental role in the lighting performance of LED technology. The parameter studied in this work is junction temperature (Tj), and how it can be used to predict the luminous properties in the design phase of luminaires in order to increase their useful life.

Damped Vibration Absorbers Applied to Lateral Modes of Rotating Machinery

1999 ◽  
Author(s):  
Lyn M. Greenhill ◽  
Linda F. Raven
Keyword(s):  
Detailed Analysis ◽  
Optimum Design ◽  
Test Data ◽  
Design Methodology ◽  
Rotating Machinery ◽  
Vibration Absorbers ◽  
Mass Ratio ◽  
Rotating Machine ◽  
Lateral Modes ◽  
Tuning Frequency

Abstract Damped vibration absorbers can significantly reduce the amplitude of resonant motion. Normally, these devices are used on machinery that is non-rotating (stationary). However, as this paper demonstrates both analytically and experimentally, a damped absorber can be successfully applied on rotating equipment, particularly on vertical machines, to attenuate lateral resonances. To illustrate this application, a detailed analysis of the damped absorber is presented, focusing on mass ratio, tuning frequency, amount of damping, and speed effects. It is shown that an optimum design can be obtained for use on a rotating machine that parametrically differs from a non-rotating application. Test data is also given illustrating the effectiveness of the concept and design methodology on an actual machine. Recommendations are provided to guide the application of this technology on other rotating machines.

Simulation Analysis and Experimental Research on Complex Structure Processing Technology of Fan Vent

2020 ◽  
Vol 866 ◽  
pp. 82-95
Author(s):  
Guang Yao Li ◽  
Yang Cao ◽  
Tao Yue Yang ◽  
Wen Qing Ma
Keyword(s):  
Simulation Analysis ◽  
Complex Structure ◽  
Processing Parameters ◽  
Simulation Software ◽  
Processing Technology ◽  
Large Temperature ◽  
Coal Consumption ◽  
Ansys Fluent ◽  
Air Supply ◽  
Fluent Simulation

Aiming at the problems of large temperature differences and inconsistent baking speeds at different positions in the tobacco chamber of the tobacco baking room, this paper proposes a complex structure processing technology of fan vent. according to the structure and drying principle of the baking room, ANSYS fluent simulation software was used to analyze the processing parameters of the heat flow field inside the baking room. combining the characteristics of positive and negative air supply baking, the processing and manufacturing parameters of the baking room were optimized, and then the baking comparison test was performed. The results show that: the forward and reverse air-baking method and the complex structure reduces the temperature difference in the interior of the smoke chamber; the forward and reverse air-bake method reduces the baking time by 11 hours, and reduces the coal consumption and power consumption by 12.6%, 48.5%, the standard deviation of temperature monitoring points in the baking room decreased by 44%.

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