scholarly journals Drones and Sensors Ecosystem to Maximise the “Storm Effects” in Case of CBRNe Dispersion in Large Geographic Areas

2021 ◽  
Vol 11 (4) ◽  
pp. 377-386
Author(s):  
Luca Martellucci ◽  
Andrea Chierici ◽  
Daniele Di Giovanni ◽  
Francesca Fumian ◽  
Andrea Malizia ◽  
...  

The advancements in the field of robotics, specifically in the aerial robotics, combined with technological improvements of the capability of drones, have increased dramatically the use of these devices as a valuable tool in a wide range of applications. From civil to commercial and military area, the requirements in the emerging application for monitoring complex scenarios that are potentially dangerous for operators give rise to the need of a more powerful and sophisticated approach. This work aims at proposing the use of swarm drones to increase plume detection, tracking and source declaration for chemical releases. The several advantages which this technology may lead to this research and application fields are investigated, as well as the research and technological activities to be performed to make swarm drones efficient, reliable, and accurate.

Author(s):  
Qutaiba I. Ali ◽  
Issam Jafar

Aims: The aim of the Green Communication Infrastructure ‎‎(GCI) project is to understand the idea of a self ‎‎"sustainably" controlled correspondence foundation ‎fitting for smart city application fields. ‎ Background: This paper shows the endeavors to understand the idea of a ‎self "sustainably" energized communication foundation ‎fitting for smart city application fields. The recommended ‎Green Communication Infrastructure (CGI) comprises ‎different kinds of remote settled (or even versatile) hubs ‎performing diverse activities as per the application ‎requests. An imperative class of these hubs is the Wireless ‎Solar Router (WSR). Objective: The work in this venture was begun in 2009 with the aim ‎of demonstrating the essential advances that must be taken to ‎accomplish such framework and to proclaim the value of ‎embracing natural vitality assets in building mission ‎basic frameworks. Alternate destinations of this venture ‎are introducing a sensibly cost, solid, verified, and simple ‎to introduce correspondence foundation.‎ Method: The arrangement to actualize the GCI was accomplished ‎subsequent to passing two structure levels: device level and ‎system level. Result: The suggested system is highly applicable and serves a wide ‎range of smart city application fields and hence many ‎people and organizations can utilize this system. ‎ Conclusion: The presence of a reliable, secured, low cost, easy to install ‎and self-powered communication infrastructure is ‎mandatory in our nowadays. The communities in ‎developing countries or in rural areas need such a system ‎highly in order to communicate with other people in the ‎world which will affect positively their social and ‎economic situation.


Author(s):  
Maarit Pallari

The implementation of the green productivity and marketing concept in agribusiness is a must in the future.Food production is influenced by the environment and society, and vice versa. Today a growing number ofconsumers are aware of the link between environmental and social well-being and fresh, pure, healthy, tastyand safe foodstuffs. Enterprises will have to consider three important aspects of value when doing business:economic, social and environmental value. The foundation of the quality research this study is concernedwith is action research. Action research is a way to analyze sustainable development, the aptness ofagriculture and the marketing opportunities these offer for developing ecoproducts in the SMEs.The study seeks to answer the following questions:- What kind of Classical Utility Value Analyses could be tool of the eco-product?- To what extent can a customer/interest group affect the development and decision-making of ecoproducts?- Is the method a suitable tool for analyzing ecological criterions in the marketing model?Classical Utility Value Analysis is a formal, analytic approach for evaluating and comparing differentalternatives. It is one decision making method of multi-criteria analysis. The roots of utility value analysis,which is one of the mathematical models for analytical decision making, are in the USA and Germany. Themethod is almost 40 years old, of the same age as the manuscript of the values tradeoff. The same historicallanguage is being used to build up new tools, principles and theory. The so-called Smart EcoCUVA hasused both methodologies (Utility value analysis and decision making analysis) when setting the goals andmathematical steps. Research results always give the best available alternative.Making rational decisions for any complex problem requires various analyses of trade-offs (compromises)between conflicting goals (objectives, outcomes) that are used for measuring the results of applying variousdecisions in a wide range of application fields. A typical decision problem has an infinite number ofsolutions, and decision makers are interested in analyzing trade-offs between those that correspond to theirpreferences, which is often called a preferential structure of the decision-maker.Smart EcoCuva analysis helps to assess different alternatives according to a variety of environmentalcriteria associated with enterprises and their products. The analysis methods take account of the monetaryand non-monetary aspects when determining the selection of the best alternative. Smart EcoCuva is themethodological cornerstone for the creation of an innovative concept that will contribute to encouraging theefficient use of natural resources and thereby enhancing sustainability.The Smart EcoCuva tools to be developed aim to be environmentally sound, economically viable, sociallyjust and culturally appropriate. They are a new, science-based reaction of sustainable agriculture to globalatmosphere, as well as constitute an appropriate link between people and nature. New environmentallyfriendly food combines healthy food with people’s lifestyles.


2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Bingjun Shi ◽  
Yuan Fu ◽  
Yan Yang

X-ray holography is widely used in material, biology, and industry fields due to its potential to measure the microstructure and dynamic change of objects. In this review, the principle of X-ray holography and the development of this technology in different application fields are systematically summarized and discussed. Through analyzing the advancement of X-ray sources and recording medium, the research and development direction of X-ray holography are prospected and the overview on current strategies of novel X-ray holography is presented. It is proved that X-ray holography, as a powerful nondestructive measurement method, can be applied to a wide range of objects.


2018 ◽  
Vol 882 ◽  
pp. 81-89
Author(s):  
Markus Brandmeier ◽  
Norbert Eckl ◽  
Daniel Weberling ◽  
Jörg Franke

Energy efficiency becomes a critical production factor due to legal regulations, sustainable customer-side production requirements and the increasingly volatile supply situation. Energy transparency is of crucial importance for the definition of strategic measures to increase energy efficiency. However, the transparent collection and processing of energy data in production not only forms the basis of industrial energy management, but also facilitates the additional optimization of subareas in the production environment. Especially in the context of production-related data, such as process and product quality data and production planning and control information, as well as combined with expert knowledge, energy data provides a wide range of application fields. This paper analyzes the requirements for a holistic, transparent collection and processing of energy data and identifies possible applications for the optimization of production and production-related areas.


Author(s):  
Roberto Baragona ◽  
Domenico Cucina

SummarySeveral nonlinear time series models have been proposed in the literature to explain various empirical nonlinear features of many observed financial and economic time series. One model that has gained much attention is the so-called self-exciting threshold autoregressive (SETAR) model. It has been found very effective for modeling and forecasting nonlinear time series in a wide range of application fields. Furthermore, SETAR model is able to capture nonlinear characteristics as limit cycles, jump resonance, and time irreversibility. In this work the attention is focused on a multivariate SETAR (MSETAR) model where each linear regime follows a vector autoregressive (VAR) process and the thresholds are multivariate. We propose a methodology based on genetic algorithms (GAs) for building MSETAR models. The GA is designed to estimate the structural parameters, i. e. to determine the appropriate number of regimes and find multivariate threshold parameters. The behavior of the proposed methodology has been observed on a simulation experiment involving three artificial data sets.


Author(s):  
Ernst Assinann ◽  
Human Ramezani

For many years in car development the future customer was first represented by templates. Today and in fact for a long time now CAD tools are solely used for designing a car and therefore man had to be integrated into that environment as well. 1986 the German car industry joined in a research program to produce a common man model for the use in automotive design. This program called RAMSIS has been in practical use at BMW since the early nineties. All “static” situations can be assessed with RAMSIS today including dynamic movements of arms and legs. For entry and egress and for the final confirmation, three dimensional mock-ups are tested by a number of in-house test subjects. Their body dimensions have to be known in order to compare their assessments with the customer population. Therefore we regularly measure members of the research and development center using all methods, from the conventional yardstick to current laser scanning techniques. Hand in hand with DMU methods Virtual Reality has gained access to development processes. The goal of DMU, to eliminate the time consuming and expensive hardware loops and replace them as much as possible by digital models, is effectively supported by VR techniques that speed up processes by enhancing the man-machine-interaction. There is a wide range of application fields to use these techniques, e.g. design review, assembly and maintenance simulation and training. RAMSIS is integrated in the BMW VR environment with special extensions to allow immersive ergonomic research. Mixed mock-up applications are used to have virtual experiences, to verify or to train assembly procedures at an early stage of development and therefore eliminate problems as soon as possible. New concepts can be evaluated and assessed taking ergonomic aspects and disturbing influences into account.


Author(s):  
Christian Spreafico ◽  
Davide Russo ◽  
Riccardo Degl’Innocenti

AbstractThis paper presents a critical review of laser pyrolysis. Although this technology is almost 60 years old, in literature many researchers, both from academia and industry, are still developing and improving it. On the contrary industrial applications are struggling to take off, if not in very restricted areas, although the technology has undoubted advantages that justify future development. The aim of this work consists in analysing a representative pool of scientific papers (230) and patents (121), from the last 20 years, to have an overview about the evolution of the method and try to understand the efforts spent to improve this technology effectively in academia and in industry. This study is important to provide a complete review about the argument, still missing in the literature. The objective is to provide an overview sufficiently broad and representative in the sources and to capture all the main ways in which laser pyrolysis has been used and with what distribution. The main focuses of the study are the analyses of the functions carried out by laser technologies, the application fields, and the types of used laser (i.e. models, power and fluence). Among the main results, the study showed that the main use of laser pyrolysis is to produce nanoparticles and coatings, the main materials worked by laser pyrolysis are silicon and carbon dioxide and the main searched properties in the products of laser pyrolysis are catalysts activity and electrical conductivity. CO2 lasers are the most used and the have high versatility compared to others. In conclusion, the study showed that laser pyrolysis is a consolidated technology within its main application fields (nanoparticles and coatings) for several years. Within this context, the technology has been developed on very different sizes and processes, obtaining a very wide range of results. Finally, these results may also have stimulated new areas of experimentation that emerged mainly in recent years and which concern biomedical applications, additive manufacturing, and waste disposal. Graphical abstract


2018 ◽  
Vol 4 (1) ◽  
pp. 49-53 ◽  
Author(s):  
Ramona De Luca ◽  
Tommaso Dattoma ◽  
Leonardo Forzoni ◽  
Jeffrey Bamber ◽  
Paolo Palchetti ◽  
...  

AbstractThe routine clinical use of diagnostic ultrasound (US) has spread considerably worldwide in recent decades. This is due in large part to the availability of US probes that enable a wide range of clinical applications as well as provide performance benefits arising from technological improvements. This paper describes the current commercially available US probe types, lists some of their clinical applications and briefly explains the technologies that are responsible for recent enhancements in image quality and ergonomics. Our intention is to summarize information that will allow healthcare professionals to select the appropriate probe for the intended use and the desired performance-price ratio.


2020 ◽  
Vol 8 (3) ◽  
pp. 1-18
Author(s):  
Hiroaki Hirata ◽  
Atsushi Nunome

Sorting is a fundamental and essential problem required in the wide range of application fields, and so many sorting algorithms have been developed. Among those algorithms, heapsort is one of the most elegant and efficient sorting algorithms. But no parallel heapsort algorithm had been presented until the authors developed a restricted parallel algorithm a few years ago. This parallel algorithm had a restriction which makes it difficult to be used universally for general data sets. So, in this article, the authors present a modified parallel algorithm which is free from such restriction and can be used for any data set. This new algorithm can achieve almost the same performance as the restricted algorithm the authors developed before.


Author(s):  
Wook Choi ◽  
Vladimir Rubtsov ◽  
Chang-Jin “C. J.” Kim

Depth information from an image can greatly increase the work efficiency when observing or inspecting objects, because the size, distance, and relative locations can be estimated. Various stereo imaging methods are being used to find depth information in a wide range of application fields, typically by placing multiple optical systems side-by-side to create multiple shifted images. In this study, we develop a miniature stereo image generating device, which can augment an existing single optical system (i.e., a two-dimensional images capturer) with three-dimensional capability. Developed with MEMS technology, the device consists of a single translating aperture, which shifts laterally between two positions (up to 100 μm apart demonstrated) by means of electrostatic comb actuators. Attached at the objective end of conventional (i.e., nonstereo) optical systems, this stereo converter with an aperture 900 μm in diameter is shown to successfully generate slightly different viewing angles, providing stereo images. Being miniaturized, this device is suitable for microscopic or endoscopic applications, where the size of the system is limited or axial depth of focus is relatively large.


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