The use of unmanned aerial vehicles (UAVs) is growing rapidly across many civil application domains, including real-time monitoring, providing wireless coverage, remote sensing, search and rescue, delivery of goods, security and surveillance, precision agriculture, and civil infrastructure inspection. Smart UAVs are the next big revolution in the UAV technology promising to provide new opportunities in different applications, especially in civil infrastructure in terms of reduced risks and lower cost. Civil infrastructure is expected to dominate more than $45 Billion market value of UAV usage. In this paper, we present UAV civil applications and their challenges. We also discuss the current research trends and provide future insights for potential UAV uses. Furthermore, we present the key challenges for UAV civil applications, including charging challenges, collision avoidance and swarming challenges, and networking and security-related challenges. Based on our review of the recent literature, we discuss open research challenges and draw high-level insights on how these challenges might be approached.

Unmanned Aerial Vehicles: A Survey on Civil Applications and Key Research Challenges

Wireless sensor networks (WSNs) can be used in agriculture to provide farmers with a large amount of information. Precision agriculture (PA) is a management strategy that employs information technology to improve quality and production. Utilizing wireless sensor technologies and management tools can lead to a highly effective, green agriculture. Based on PA management, the same routine to a crop regardless of site environments can be avoided. From several perspectives, field management can improve PA, including the provision of adequate nutrients for crops and the wastage of pesticides for the effective control of weeds, pests, and diseases. This review outlines the recent applications of WSNs in agriculture research as well as classifies and compares various wireless communication protocols, the taxonomy of energy-efficient and energy harvesting techniques for WSNs that can be used in agricultural monitoring systems, and comparison between early research works on agriculture-based WSNs. The challenges and limitations of WSNs in the agricultural domain are explored, and several power reduction and agricultural management techniques for long-term monitoring are highlighted. These approaches may also increase the number of opportunities for processing Internet of Things (IoT) data.

https://www.mdpi.com/1424-8220/17/8/1781/pdf

Energy-Efficient Wireless Sensor Networks for Precision Agriculture: A Review.

Biological processes in any living organism are based on selective interactions between particular biomolecules. In most cases, these interactions involve and are driven by proteins which are the main conductors of any living process within the organism. The physical nature of these interactions is still not well known. The authors represent a whole new view to biomolecular interactions, in particular protein-protein and protein-DNA interactions, based on the assumption that these interactions are electromagnetic in their nature. This new approach is incorporated in the Resonant Recognition Model (RRM), which was developed over the last 10 years. It has been shown initially that certain periodicities within the distribution of energies of delocalized electrons along a protein molecule are critical for protein biological function, i.e., interaction with its target. If protein conductivity was introduced, then a charge moving through protein backbone can produce electromagnetic irradiation or absorption with spectral characteristics corresponding to energy distribution along the protein. The RRM enables these spectral characteristics, which were found to be in the range of infrared and visible light, to be calculated. These theoretically calculated spectra were proved using experimentally obtained frequency characteristics of some light-induced biological processes. Furthermore, completely new peptides with desired spectral characteristics, and consequently corresponding biological activities, were designed. >

Macromolecular bioactivity: is it resonant interaction between macromolecules?-theory and applications

Chemical and electrical interaction within and between cells is well established. Just the opposite is true about cellular interactions via other physical fields. The most probable candidate for an other form of cellular interaction is the electromagnetic field. We review theories and experiments on how cells can generate and detect electromagnetic fields generally, and if the cell-generated electromagnetic field can mediate cellular interactions. We do not limit here ourselves to specialized electro-excitable cells. Rather we describe physical processes that are of a more general nature and probably present in almost every type of living cell. The spectral range included is broad; from kHz to the visible part of the electromagnetic spectrum. We show that there is a rather large number of theories on how cells can generate and detect electromagnetic fields and discuss experimental evidence on electromagnetic cellular interactions in the modern scientific literature. Although small, it is continuously accumulating.

http://www.fluxology.net/ppt/EM_cellular_interactions.pdf

Electromagnetic cellular interactions.

Since the introduction of Magnetic Resonance Imaging (MRI) as a diagnostic technique, the number of people exposed to electromagnetic fields (EMF) has increased dramatically. In this review, based on the results of a pioneer study showing in vitro and in vivo genotoxic effects of MRI scans, we report an updated survey about the effects of non-ionizing EMF employed in MRI, relevant for patients’ and workers’ safety. While the whole data does not confirm a risk hypothesis, it suggests a need for further studies and prudent use in order to avoid unnecessary examinations, according to the precautionary principle.

Biological Effects and Safety in Magnetic Resonance Imaging: A Review

https://cyberleninka.org/article/n/572118.pdf

Investigation in Wireless Power Transmission for UAV Charging

There are a considerable number of peer-reviewed publications which show that electromagnetic EMR can result in physiologically beneficial in vivo, in vitro and in situ biological effects. These bioeffects are already used for therapeutic applications of nonthermal and non-ionizing EMR such as bone repair, nerve stimulation, wound healing, osteoarthritis treatment, electro-acupuncture, tissue regeneration, immune system stimulation, and neuroendocrine modulations.

/pdf/biological-effects-of-electromagnetic-radiation-58badx9tv0.pdf

Biological Effects of Electromagnetic Radiation

The resonant recognition model (RRM) is a model of protein-protein and protein-DNA interaction based on a significant correlation between spectra of numerical presentation of the amino acid or nucleotide sequences and their biological activity. Having compared absorption characteristics of photosensitive proteins with their RRM spectral characteristics we obtained a linear correlation between the RRM frequency space and real frequency space, which determines a scaling factor between these two frequency spaces. On applying the RRM model to several groups of peptide growth factors, characteristic RRM frequencies were revealed and the corresponding real characteristic frequencies for these groups of growth factors were calculated using the scaling factor previously obtained. The real frequency characteristics of growth factors obtained in this way correspond with maxima in the action spectra of low-intensity light irradiation effects on cell proliferation.

The relationship of the resonant recognition model to effects of low-intensity light on cell growth

In this study, we investigated experimentally the possibility of modulating protein activity by low intensity microwaves by measuring alternations of l-Lactate Dehydrogenase enzyme (LDH) activity. The LDH enzyme solutions were irradiated by microwaves of the selected frequencies and powers using the Transverse Electro-Magnetic (TEM) cell. The kinetics of the irradiated LDH was measured by continuous monitoring of nicotine adenine dinucleotide, reduced (NADH) absorbance at 340 nm. A comparative analysis of changes in the activity of the irradiated LDH enzyme versus the non-radiated enzyme was performed for the selected frequencies and powers. It was found that LDH activity can be selectively increased only by irradiation at the particular frequencies of 500 MHz [electric field: 0.02 V/m (1.2 × 10−6 W/m2)–2.1 V/m (1.2 × 10−2 W/m2)] and 900 MHz [electric field: 0.021–0.21 V/m (1.2 × 10−4 W/m2)]. Based on results obtained it was concluded that LDH enzyme activity can be modulated by specific frequencies of low power microwave radiation. This finding can serve to support the hypothesis that low intensity microwaves can induce non-thermal effects in bio-molecules.

Low intensity microwave radiation as modulator of the L-lactate dehydrogenase activity.

It is evident that macromolecular interactions involve the transfer of energy. It has been proposed in the literature that the vibrational energy transfer is unlikely to occur "because the typical time scale of vibrational relaxation (in order of few pica seconds) is much shorter than that of the resonant intermolecular vibrational energy transfer". Here we present a concept, the so- called Resonant Recognition Model (RRM), which is based on a possibility of the resonant electromagnetic (EM) energy transfer between interacting molecules. The hypothesis of the possibility of EM energy transfer instead of the vibrational one can elucidate the nature of much faster molecular interactions (higher resonant frequencies).

/pdf/electromagnetic-properties-of-biomolecules-2me1as971z.pdf

Vuk Vojisavljevic

Papers

Investigation in Wireless Power Transmission for UAV Charging

Biological Effects of Electromagnetic Radiation

The relationship of the resonant recognition model to effects of low-intensity light on cell growth

Low intensity microwave radiation as modulator of the L-lactate dehydrogenase activity.

Electromagnetic properties of biomolecules