scholarly journals АНАЛІЗ СУЧАСНОГО СТАНУ РОЗВИТКУ БЕЗПІЛОТНИХ ЛІТАЛЬНИХ МІКРОАПАРАТІВ МУЛЬТИКОПТЕРНОГО ТИПУ

2021 ◽  
pp. 125-134
Author(s):  
О. Г. Гребеніков
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Statistical Data ◽  
Weather Conditions ◽  
Future Research ◽  
Prototype Model ◽  
Aerial Vehicles ◽  
Starting Point ◽  
Wide Range ◽  
Range Of Functions ◽  
Definition Of

The development of unmanned aerial vehicles is of great interest to both the largest aircraft companies and design enthusiasts, and among the total volume of developments, the volume of multicopter unmanned aerial vehicles occupies one of the leading positions. In this regard, the analysis of existing developments and the definition of future research in this direction is relevant. Multi-helicopter drones have a wide range of functions in both military and civilian use.The paper collects and analyzes statistical data of micro-unmanned aerial vehicles of the multicopter type to determine the achievements in the field of design of micro-unmanned aerial vehicles (UAVs). The current classification of UAVs is considered; as a result of the analysis of statistical data its expansion is offered. The take-off and mass characteristics of the micro UAV are described. The tables showing the existing UAVs are given. In addition, the flight characteristics, aerodynamic schemes and type of engine that are most rationally suited for micro-unmanned aerial vehicles according to their purpose and class are determined.Based on the obtained data, a prototype model of a micro-UAV with improved characteristics was built. The model successfully completed all tasks. This indicates that the new UAV "Fear-1" is a successful project and it has the ability to remotely control by phone or any other equipment designed for this purpose. In addition, the designed device can additionally hang in the specified coordinates."Fear-1" confidently performs tasks in automatic mode, as well as independently decides to return to the starting point of takeoff, if: there is a loss of communication, the battery level has reached a certain level, the UAV has completed its task or used more miles -amperes than specified by the output parameters. The drone has the ability to fly in "Follow me" mode on the selected GPS transmitter. The quadcopter was tested in difficult weather conditions, when the wind force reached 8 points (about 22 m / s). Noise immunity tests were also performed in the industrial frequency range (from 2.4 GHz to 5.8 GHz).

scholarly journals АНАЛІЗ СУЧАСНОГО СТАНУ РОЗВИТКУ ВИСОТНИХ БЕЗПІЛОТНИХ ЛІТАЛЬНИХ АПАРАТІВ

2019 ◽  
pp. 28-41
Author(s):  
Тамара Павловна Цепляева ◽  
Антон Юрьевич Мигунов
Keyword(s):  
High Altitude ◽  
Unmanned Aerial Vehicles ◽  
Statistical Data ◽  
Unmanned Vehicles ◽  
Future Research ◽  
Aerial Vehicles ◽  
Wide Range ◽  
Range Of Functions

The development of unmanned aerial vehicles, at this time, is of great interest, both of the largest aircraft building companies and design enthusiasts, and among the total amount of development, the volume of high-altitude unmanned vehicles occupies one of the leading positions. In this regard, a very topical issue is the analysis of existing developments and the determination of the vector of future research in this direction. High-altitude unmanned vehicles have a wide range of functions, both in the field of military and civilian use. The work collected and analyzed statistical data of high-altitude unmanned aerial vehicles to determine advances in the design of high-altitude unmanned aerial vehicles (UAVs). The current classification of UAVs was considered, as a result of the analysis of statistical data, options for its expansion were proposed. The flight characteristics of high-altitude UAVs are described. There are charts and tables showing the place of highaltitude UAVs in their total number. Also, flight performance, aerodynamic schemes and engine type, which are the most rational for high-altitude unmanned aerial vehicles according to their purpose and class, are defined.

scholarly journals Analysis of the military application of unmanned aircraft and main direction for their development

2021 ◽  
Vol 33 ◽  
pp. 237-250
Author(s):  
Nikolay Zagorski
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Unmanned Aircraft ◽  
Armed Struggle ◽  
Military Application ◽  
Aerial Vehicles ◽  
Wide Range ◽  
Military Conflicts ◽  
Range Of Functions ◽  
The Military ◽  
Further Development

Modern military unmanned aerial vehicles (UAVs) are assigned a wide range of functions, for the implementation of which they perform many tasks in various military conflicts. The results of the analysis give them the opportunity to reveal the problems in the use of UAVs, make changes in their functions and tasks and identify areas for further development. At present, this requires the introduction of the achievements of artificial intelligence, the introduction of expert systems and microelectronics on board UAVs, as well as their integration with various other means of conducting armed struggle. At the same time, some of the technological solutions for the creation and improvement of UAVs for military purposes can be applied in the civilian sector.

scholarly journals Forestry Remote Sensing from Unmanned Aerial Vehicles: A Review Focusing on the Data, Processing and Potentialities

2020 ◽  
Vol 12 (6) ◽  
pp. 1046 ◽  
Author(s):  
Nathalie Guimarães ◽  
Luís Pádua ◽  
Pedro Marques ◽  
Nuno Silva ◽  
Emanuel Peres ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Data Processing ◽  
Unmanned Aerial Vehicles ◽  
Land Surface ◽  
Weather Conditions ◽  
Agroforestry Systems ◽  
Data Availability ◽  
Operational Costs ◽  
Aerial Vehicles ◽  
Wide Range

Currently, climate change poses a global threat, which may compromise the sustainability of agriculture, forestry and other land surface systems. In a changing world scenario, the economic importance of Remote Sensing (RS) to monitor forests and agricultural resources is imperative to the development of agroforestry systems. Traditional RS technologies encompass satellite and manned aircraft platforms. These platforms are continuously improving in terms of spatial, spectral, and temporal resolutions. The high spatial and temporal resolutions, flexibility and lower operational costs make Unmanned Aerial Vehicles (UAVs) a good alternative to traditional RS platforms. In the management process of forests resources, UAVs are one of the most suitable options to consider, mainly due to: (1) low operational costs and high-intensity data collection; (2) its capacity to host a wide range of sensors that could be adapted to be task-oriented; (3) its ability to plan data acquisition campaigns, avoiding inadequate weather conditions and providing data availability on-demand; and (4) the possibility to be used in real-time operations. This review aims to present the most significant UAV applications in forestry, identifying the appropriate sensors to be used in each situation as well as the data processing techniques commonly implemented.

scholarly journals Detection of unmanned aerial vehicle using radio wave scatter on acoustic disturbances of the environment created by aircraft

Radiotekhnika ◽  
2021 ◽  
pp. 122-130
Author(s):  
V.M. Kartashov ◽  
O.I. Kharchenko ◽  
V.A. Pososhenko ◽  
V.I. Kolesnik ◽  
A.B. Yegorov ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Unmanned Aerial Vehicle ◽  
Technical Problem ◽  
Technical Problems ◽  
Acoustic Disturbances ◽  
Aerial Vehicles ◽  
Wide Range ◽  
Radio Signals ◽  
Range Of Functions ◽  
Aerial Vehicle

Unmanned aerial vehicles (UAVs) have recently become widespread, because they are capable of performing a wide range of functions useful for mankind. At the same time, UAVs are a source of potential threats in a number of areas of human activity, namely, military, economic, and everyday life. Therefore, an urgent scientific and technical problem of detecting and observing UAVs has been formed recently to prevent them from performing unauthorized actions. The main means of UAV surveillance are radar (both active and passive), optical, infrared, acoustic stations, as well as complex systems in which joint processing of information obtained using these information channels is carried out. However, in general, the scientific and technical problem of monitoring UAVs, especially small UAVs, remains unresolved: the efficiency of UAV detection using all these methods remains insufficient, and the needs of practice are far from being fully satisfied with the available means. This article is devoted to the analysis of currently known scientific and practical results aimed to assess the possibility of detecting UAVs by radio signals scattered by acoustic disturbances of the environment created by UAVs, and to formulate urgent scientific and technical problems in this aria of knowledge.

scholarly journals Consumer Neuroscience Techniques in Advertising Research: A Bibliometric Citation Analysis

2021 ◽  
Vol 13 (3) ◽  
pp. 1589
Author(s):  
Juan Sánchez-Fernández ◽  
Luis-Alberto Casado-Aranda ◽  
Ana-Belén Bastidas-Manzano
Keyword(s):  
Self Report ◽  
Future Research ◽  
Complex Nature ◽  
Clear Understanding ◽  
Continuous Growth ◽  
Main Research ◽  
Consumer Neuroscience ◽  
Starting Point ◽  
Wide Range ◽  
Performance Analysis Tools

The limitations of self-report techniques (i.e., questionnaires or surveys) in measuring consumer response to advertising stimuli have necessitated more objective and accurate tools from the fields of neuroscience and psychology for the study of consumer behavior, resulting in the creation of consumer neuroscience. This recent marketing sub-field stems from a wide range of disciplines and applies multiple types of techniques to diverse advertising subdomains (e.g., advertising constructs, media elements, or prediction strategies). Due to its complex nature and continuous growth, this area of research calls for a clear understanding of its evolution, current scope, and potential domains in the field of advertising. Thus, this current research is among the first to apply a bibliometric approach to clarify the main research streams analyzing advertising persuasion using neuroimaging. Particularly, this paper combines a comprehensive review with performance analysis tools of 203 papers published between 1986 and 2019 in outlets indexed by the ISI Web of Science database. Our findings describe the research tools, journals, and themes that are worth considering in future research. The current study also provides an agenda for future research and therefore constitutes a starting point for advertising academics and professionals intending to use neuroimaging techniques.

Digital competences of the workforce – a research topic?

2017 ◽  
Vol 23 (3) ◽  
pp. 721-734 ◽  
Author(s):  
Matthias Murawski ◽  
Markus Bick
Keyword(s):  
Research Topic ◽  
Future Research ◽  
Digital Competence ◽  
Content Type ◽  
Research Activities ◽  
Starting Point ◽  
Pros And Cons ◽  
Definition Of ◽  
The Individual ◽  
Practical Implications

Purpose Considering working in the digital age, questions on the consequences for the individual workers are, so far, often neglected. The purpose of this paper is to deal with the question of whether the digital competences of the workforce is a research topic. The authors argue for the thesis that it is indeed a research topic. Design/methodology/approach In addition to a literature analysis of the top IS, HR, and learning publications, non-scientific sources, as well as the opinions of the authors, are included. The authors’ thesis is challenged through a debate of corresponding pros and cons. Findings The definition of digital competences lacks scientific depth. Focussing on the workforce is valid, as a “lifelong” perspective is not mandatory for research. Digital competence research is a multidisciplinary task to which the IS field can make a valuable contribution. Research limitations/implications Although relevant references are included, some aspects are mainly driven by the opinions of the authors. The theoretical implications encompass a call for a scientific definition of digital competences. Furthermore, scholars should focus on the competences of the workforce, including occupations, roles, or industries. The authors conclude by providing a first proposal of a research agenda. Practical implications The practical implications include the alignment of multiple stakeholders for the design of “digital” curricula and the integration by HR departments of the construct of digital competences, e.g. for compensation matters and job requirements. Originality/value This paper is one of very few contributions in the area of the digital competences of the workforce, and it presents a starting point for future research activities.

What Neuroscience Can Tell about Intuitive Processes in the Context of Perceptual Discovery

2006 ◽  
Vol 18 (12) ◽  
pp. 2077-2087 ◽  
Author(s):  
Kirsten G. Volz ◽  
D. Yves von Cramon
Keyword(s):  
Initial Guess ◽  
Future Research ◽  
Starting Point ◽  
Sensory Modalities ◽  
Direct Contrast ◽  
Good Starting Point ◽  
Lateral Portion ◽  
Definition Of ◽  
Conscious Attention ◽  
Potential Content

According to the Oxford English Dictionary, intuition is “the ability to understand or know something immediately, without conscious reasoning.” Most people would agree that intuitive responses appear as ideas or feelings that subsequently guide our thoughts and behaviors. It is proposed that people continuously, without conscious attention, recognize patterns in the stream of sensations that impinge upon them. What exactly is being recognized is not clear yet, but we assume that people detect potential content based on only a few aspects of the input (i.e., the gist). The result is a vague perception of coherence which is not explicitly describable but instead embodied in a “gut feeling” or an initial guess, which subsequently biases thought and inquiry. To approach the nature of intuitive processes, we used functional magnetic resonance imaging when participants were working at a modified version of the Waterloo Gestalt Closure Task. Starting from our conceptualization that intuition involves an informed judgment in the context of discovery, we expected activation within the median orbito-frontal cortex (OFC), as this area receives input from all sensory modalities and has been shown to be crucially involved in emotionally driven decisions. Results from a direct contrast between intuitive and nonintuitive judgments, as well as from a parametric analysis, revealed the median OFC, the lateral portion of the amygdala, anterior insula, and ventral occipito-temporal regions to be activated. Based on these findings, we suggest our definition of intuition to be promising and a good starting point for future research on intuitive processes.

scholarly journals What is Normalization? The Strategies Employed in Top-Down and Bottom-Up Proteome Analysis Workflows

Proteomes ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 29 ◽  
Author(s):  
Matthew B. O’Rourke ◽  
Stephanie E. L. Town ◽  
Penelope V. Dalla ◽  
Fiona Bicknell ◽  
Naomi Koh Belic ◽  
...  
Keyword(s):  
Normal State ◽  
Proteome Analysis ◽  
Biological Condition ◽  
Sample Handling ◽  
Analysis Process ◽  
Starting Point ◽  
Wide Range ◽  
Experimental Process ◽  
Definition Of ◽  
Accurate Quantification

The accurate quantification of changes in the abundance of proteins is one of the main applications of proteomics. The maintenance of accuracy can be affected by bias and error that can occur at many points in the experimental process, and normalization strategies are crucial to attempt to overcome this bias and return the sample to its regular biological condition, or normal state. Much work has been published on performing normalization on data post-acquisition with many algorithms and statistical processes available. However, there are many other sources of bias that can occur during experimental design and sample handling that are currently unaddressed. This article aims to cast light on the potential sources of bias and where normalization could be applied to return the sample to its normal state. Throughout we suggest solutions where possible but, in some cases, solutions are not available. Thus, we see this article as a starting point for discussion of the definition of and the issues surrounding the concept of normalization as it applies to the proteomic analysis of biological samples. Specifically, we discuss a wide range of different normalization techniques that can occur at each stage of the sample preparation and analysis process.

scholarly journals Population structure of Drosophila suzukii and signals of multiple invasions into the continental United States

2021 ◽  
Author(s):  
Kyle M Lewald ◽  
Antoine Abrieux ◽  
Derek A Wilson ◽  
Yoosook Lee ◽  
William R Conner ◽  
...  
Keyword(s):  
United States ◽  
Genetic Diversity ◽  
Population Structure ◽  
Weather Conditions ◽  
The United States ◽  
Future Research ◽  
Drosophila Suzukii ◽  
Significant Damage ◽  
Wide Range ◽  
Multiple Invasions

Drosophila suzukii, or spotted-wing drosophila, is now an established pest in many parts of the world, causing significant damage to numerous fruit crop industries. Native to East Asia, D. suzukii infestations started in the United States a decade ago, occupying a wide range of climates. To better understand invasion ecology of this pest, knowledge of past migration events, population structure, and genetic diversity is needed. To improve on previous studies examining genetic structure of D. suzukii, we sequenced whole genomes of 237 individual flies collected across the continental U.S., as well as several representative sites in Europe, Brazil, and Asia, to identify hundreds of thousands of genetic markers for analysis. We analyzed these markers to detect population structure, to reconstruct migration events, and to estimate genetic diversity and differentiation within and among the continents. We observed strong population structure between West and East Coast populations in the U.S., but no evidence of any population structure North to South, suggesting there is no broad-scale adaptations occurring in response to the large differences in regional weather conditions. We also find evidence of repeated migration events from Asia into North America have provided increased levels of genetic diversity, which does not appear to be the case for Brazil or Europe. This large genomic dataset will spur future research into genomic adaptations underlying D. suzukii pest activity and development of novel control methods for this agricultural pest.

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