Resilient Multi-Sensor UAV Navigation with a Hybrid Federated Fusion Architecture.

Future UAV (unmanned aerial vehicle) operations in urban environments demand a PNT (position, navigation, and timing) solution that is both robust and resilient. While a GNSS (global navigation satellite system) can provide an accurate position under open-sky assumptions, the complexity of urban operations leads to NLOS (non-line-of-sight) and multipath effects, which in turn impact the accuracy of the PNT data. A key research question within the research community pertains to determining the appropriate hybrid fusion architecture that can ensure the resilience and continuity of UAV operations in urban environments, minimizing significant degradations of PNT data.

Diagnosis of Multiple Faults in Rotating Machinery Using Ensemble Learning.

Fault diagnosis of rotating machines is an important task to prevent machinery downtime, and provide verifiable support for condition-based maintenance (CBM) decision-making. Deep learning-enabled fault diagnosis operations have become increasingly popular because features are extracted and selected automatically. However, it is challenging for these models to give superior results with rotating machine components of different scales, single and multiple faults across different rotating components, diverse operating speeds, and diverse load conditions.

Drone Model Classification Using Convolutional Neural Network Trained on Synthetic Data.

We present a convolutional neural network (CNN) that identifies drone models in real-life videos. The neural network is trained on synthetic images and tested on a real-life dataset of drone videos. To create the training and validation datasets, we show a method of generating synthetic drone images.

Health Condition Estimation of Bearings with Multiple Faults by a Composite Learning-Based Approach.

Bearings are critical components found in most rotating machinery; their health condition is of immense importance to many industries. The varied conditions and environments in which bearings operate make them prone to single and multiple faults. Widespread interest in the improvements of single fault diagnosis meant limited attention was spent on multiple fault diagnosis.

Efficient Allocation for Downlink Multi-Channel NOMA Systems Considering Complex Constraints.

To enable an efficient dynamic power and channel allocation (DPCA) for users in the downlink multi-channel non-orthogonal multiple access (MC-NOMA) systems, this paper regards the optimization as the combinatorial problem, and proposes three heuristic solutions, i.e., stochastic algorithm, two-stage greedy randomized adaptive search (GRASP), and two-stage stochastic sample greedy (SSD).

Modeling and Performance Analysis of Opportunistic Link Selection For UAV Communication.

In anticipation of wide implementation of 5G technologies, the scarcity of spectrum resources for the unmanned aerial vehicles (UAVs) communication remains one of the major challenges in arranging safe drone operations. Dynamic spectrum management among multiple UAVs as a tool that is able to address this issue, requires integrated solutions with considerations of heterogeneous link types and support of the multi-UAV operations. This paper proposes a synthesized resource allocation and opportunistic link selection (RA-OLS) scheme for the air-to-ground (A2G) UAV communication with dynamic link selections.

Improving Depth Resolution of Ultrasonic Phased Array Imaging to Inspect Aerospace Composite Structures.

In this paper, we present challenges and achievements in development and use of a compact ultrasonic Phased Array (PA) module with signal processing and imaging technology for autonomous non-destructive evaluation of composite aerospace structures. We analyse two different sets of ultrasonic scan data, acquired from 5 MHz and 10 MHz PA transducers. Although higher frequency transducers promise higher axial (depth) resolution in PA imaging, we face several signal processing challenges to detect defects in composite specimens at 10 MHz.

[Prevention of arrhythmia in acute ischemia in conscious animals using a serotonin analog].

The state of the serotonergic system was studied in adaptation of rats to short-term non-damaging stress actions along with the possibility of protecting the heart of conscious animals against arrhythmias in acute ischemia with the serotonin analogue 4-nitro-5-methoxytryptamine. It was shown that the adaptation resulted in a significant increase in rat midbrain serotonin by 70%. Preliminary administration of the serotonin analogue 3 fold reduced the total duration of arrhythmias and approximately 5 fold--the heart fibrillation rate and the death rate of animals in acute ischemia.

[The phenomenon of HLA antigen modification in meningococcal infection].

212 patients with the generalized forms of meningococcal infection have been examined. The intensity and quality of lymphocytotoxic reaction in the acute phase and the convalescence period of the disease have been analyzed and the blank calculation has been made at different clinical forms of meningococcal infection. The formation of modified tissue antigens at the acute stage of the disease in the presence of intoxication is shown and the probable role of the intensity of bacteremia in this formation is discussed.

[Radioprotective effectiveness and toxicity of 4,5-disubstituted tryptamines].

In experiments on mice a study was made of different substituents in the 4th position of the indole ring of 5-methoxytryptamines (5-MOT) on toxicity and radioprotective efficiency of the compounds of this class. It was shown that the administration of the amino-group to a mexamine molecule increased the preparation toxicity; the nitro-group somewhat diminished the toxic properties, and the acetylamino group did not change 5-MOT toxicity. A 5-MOT derivative with a nitro group possessed the strongest radioprotective action.

[Distribution of HLA antigens in patients with meningococcal infection at different times of year].

The character of the distribution of the antigens of the HLA system at different seasons has been studied in 160 patients with generalized forms of meningococcal infection. The occurrence of HLA-Bw16 (the marker of the population gene of susceptibility to meningococcal infection) has proved to be inversely correlated with the seasonal morbidity level.

[The role of the population gene pool in meningococcal infection morbidity].

The character of the distribution of HLA antigens in patients with meningococcal infection among Russians and Touvinians was revealed. The markers of susceptibility to meningococcal infection were detected in each national group. These markers were HLA-Bw22 in Touvinians.

[Risk of meningococcal infection in children with different hla phenotypes].

A total of 104 children aged 4 months to 13 years with meningococcal infection were examined. For control 600 healthy donors were used. Histocompatibility antigens were determined by the lymphotoxic test.