On realistic target coverage by autonomous drones

Low-cost mini-drones with advanced sensing and maneuverability enable a new class of intelligent sensing systems. To achieve the full potential of such drones, it is necessary to develop new enhanced formulations of both common and emerging sensing scenarios. Namely, several fundamental challenges in visual sensing are yet to be solved including (1) fitting sizable targets in camera frames; (2) positioning cameras at effective viewpoints matching target poses; and (3) accounting for occlusion by elements in the environment, including other targets. In this article, we introduce Argus, an autonomous system that utilizes drones to collect target information incrementally through a two-tier architecture. To tackle the stated challenges, Argus employs a novel geometric model that captures both target shapes and coverage constraints. Recognizing drones as the scarcest resource, Argus aims to minimize the number of drones required to cover a set of targets. We prove this problem is NP-hard, and even hard to approximate, before deriving a best-possible approximation algorithm along with a competitive sampling heuristic which runs up to 100× faster according to large-scale simulations. To test Argus in action, we demonstrate and analyze its performance on a prototype implementation. Finally, we present a number of extensions to accommodate more application requirements and highlight some open problems

Low complexity target coverage heuristics using mobile cameras

Wireless sensor and actuator networks have been extensively deployed for enhancing industrial control processes and supply-chains, and many forms of surveillance and environmental monitoring. The availability of low-cost mobile robots equipped with a variety of sensors in addition to communication and computational capabilities makes them particularly promising in target coverage tasks for ad hoc surveillance, where quick, low-cost or non-lasting visual sensing solutions are required, e.g. in border protection and disaster recovery. In this paper, we consider the problem of low complexity placement and orientation of mobile cameras to cover arbitrary targets. We tackle this problem by clustering proximal targets, while calculating/estimating the camera location/direction for each cluster separately through our cover-set coverage method. Our proposed solutions provide extremely computationally efficient heuristics with only a small increase in number of cameras used, and a small decrease in number of covered targets. 2014 IEEE.Qatar National Research FundScopu

On target coverage in mobile visual sensor networks

Recent advancements in manufacturing low-cost wireless battery operated cameras has made their application in Wireless Video Sensor Networks (WVSN) increasingly more feasible and affordable. The application of robotic sensing agents equipped with cameras in WVSNs, seems particularly promising in performing coverage tasks for ad hoc surveillance. Their application in this context can be specifically useful for surveying areas with little to no available or affordable infrastructure, or where quick deployment is necessary. In this paper, we address the target coverage problem for finding the minimum number of cameras, their placement, and orientation to cover arbitrarily located targets in an area of interest. We propose a computationally light-weight heuristic, where the number of used mobile cameras is close to those found by near-optimal algorithms. Specifically, we address this problem for non-uniform target distributions that naturally form clusters. Having light-weight heuristics will be particularly useful when the application is required to adapt to target mobility and/or is implemented in embedded systems. Our simulation study shows that when clusters are sufficiently separated, the required number of cameras found by our proposed method is very close to those acquired by the near-optimal algorithm, whereas the computational complexity of our algorithm is about ten times less. We also deploy our algorithm on a drone testbed using off-the-shelf components to verify its feasibility.Qatar National Research FundScopu

Up and away: A visually-controlled easy-to-deploy wireless UAV Cyber-Physical testbed

Cyber-Physical Systems (CPS) have the promise of presenting the next evolution in computing with potential applications that include aerospace, transportation, and various automation systems. These applications motivate advances in the different sub-fields of CPS such as mobile computing, context awareness, and computer vision. However, deploying and testing complete CPSs is known to be a complex and expensive task. In this paper, we present the design, implementation, and evaluation of Up and Away (UnA): a testbed for Cyber-Physical Systems that use Unmanned Aerial Vehicles (UAVs) as their main physical component. UnA aims to abstract the control of physical system components to reduce the complexity of UAV oriented CPS experiments. UnA provides APIs to allow for converting CPS algorithm implementations, developed typically for simulations, into physical experiments using a few simple steps. We present two scenarios of using UnA's API to bring mobile-camera-based surveillance algorithms to life, thus exhibiting the ease of use and flexibility of UnA. 2014 IEEE.Qatar National Research FundScopu

Non-steroidal anti-inflammatory drugs in management of COVID-19; A systematic review on current evidence

Background: Since there is still no definitive conclusion regarding which non-steroidal anti-inflammatory drugs (NSAIDs) are most effective and safe in viral respiratory infections, we decided to evaluate the efficacy and safety of various NSAIDs in viral respiratory infections so that we can reach a conclusion on which NSAID is best choice for coronavirus disease 2019 (COVID-19). Methods: A search was performed in Medline (via PubMed), Embase and CENTRAL databases until 23 March 2020. Clinical trials on application of NSAIDs in viral respiratory infections were included. Results: Six clinical trials were included. No clinical trial has been performed on COVID-19, Severe Acute Respiratory Syndrome and Middle East Respiratory Syndrome infections. Studies show that ibuprofen and naproxen not only have positive effects in controlling cold symptoms, but also do not cause serious side effects in rhinovirus infections. In addition, it was found that clarithromycin, naproxen and oseltamivir combination leads to decrease in mortality rate and duration of hospitalisation in patients with pneumonia caused by influenza. Conclusion: Although based on existing evidence, NSAIDs have been effective in treating respiratory infections caused by influenza and rhinovirus, since there is no clinical trial on COVID-19 and case-reports and clinical experiences are indicative of elongation of treatment duration and exacerbation of the clinical course of patients with COVID-19, it is recommended to use substitutes such as acetaminophen for controlling fever and inflammation and be cautious about using NSAIDs in management of COVID-19 patients until there are enough evidence. Naproxen may be a good choice for future clinical trials. © 2020 John Wiley & Sons Lt

Argus: Realistic target coverage by drones

Low-cost mini-drones with advanced sensing and maneuverability enable a new class of intelligent visual sensing systems. This potential motivated several research eforts to employ drones as standalone surveillance systems or to assist legacy deployments. However, several fundamental challenges remain unsolved including: 1) Adequate coverage of sizable targets; 2) Target orientation that render coverage efective only from certain directions; 3) Occlusion by elements in the environment, including other targets. In this paper, we present Argus, a system that provides visual coverage of wide and oriented targets, using camera-mounted drones, taking into account the challenges stated above. Argus relies on a geometric model that captures both target shapes and coverage constraints. With drones being the scarcest resource in Argus, we study the problem of minimizing the number of drones required to cover a set of such targets and derive a best-possible approximation algorithm. Building upon that, we present a sampling heuristic that performs favorably, while running up to 100x faster compared to the approximation algorithm. We implement a complete prototype of Argus to demonstrate and evaluate the proposed coverage algorithms within a fully autonomous surveillance system. Finally, we evaluate the proposed algorithms via simulations to compare their performance at scale under various conditions.Scopu

FoxO1 and Wnt/β-catenin signaling pathway: Molecular targets of human amniotic mesenchymal stem cells-derived conditioned medium (hAMSC-CM) in protection against cerebral ischemia/reperfusion injury

Ischemia-reperfusion (I/R) injury has weakened the effects of available treatment options for ischemic stroke. Although conditioned medium obtained from human amniotic mesenchymal stem cells (hAMSC-CM) has been reported to exert protective effect against stroke, detailed knowledge about its possible molecular mechanisms is not still completely available. The present study was designed to investigate whether hAMSC-CM can modulate FoxO1 and Wnt/β-catenin signaling pathway after ischemic stroke to create neuroprotective effects. Middle cerebral artery occlusion (MCAO) model with male Wistar rats was used to evaluate the effects of hAMSC-CM on activities of FoxO1, Wnt/β-catenin signaling pathway, and endogenous antioxidant system and apoptotic cell death. The results demonstrated that induction of MCAO significantly reduced activities of FoxO1, Wnt/β-catenin signaling pathway, and endogenous antioxidant system and enhanced apoptotic cell death (P < 0.05). In addition, treatment by hAMSC-CM immediately after cerebral reperfusion resulted in significantly reduced infarct size and increased activities of FoxO1, Wnt/β-catenin signaling pathway, and restoring endogenous antioxidant system and suppressing apoptotic cell death (P < 0.05). Likewise, increased activity of Wnt/β-catenin signaling pathway resulted in suppressing the neuroinflammation by inhibiting the expression of TNF-α and increasing the expression of IL-10. These findings demonstrate that hAMSC-CM can be considered as an excellent candidate in the treatment of acute ischemic stroke in clinical routine. © 202

Donepezil attenuates injury following ischaemic stroke by stimulation of neurogenesis, angiogenesis, and inhibition of inflammation and apoptosis

Donepezil has proven to be an effective drug to reduce neuronal death and subsequently injury in neurodegenerative diseases. The current study evaluated the neuroprotective effects of donepezil in a rat model of ischaemic stroke and explored possible mechanisms which by this drug may reduce cell death. Temporary middle cerebral artery occlusion (tMCAO) was exerted for 45 min to induce ischaemic stroke. The animals were assigned into five groups: sham, control, and three groups treated with different doses of donepezil. Donepezil was intraperitoneally (IP) injected 4 h after reperfusion for 10 consecutive days. Infarct size was determined using TTC staining. The expression of proteins was evaluated using immunohistochemistry assays. Compared with the control group, infarct size was significantly reduced in tMCAO rats treated with different doses of donepezil. Moreover, our results showed significant decreased expression levels of apoptotic markers and pro-inflammatory mediators after treatment with different doses of donepezil for 10 days (P < 0.05). Likewise, significant increase of brain-derived neurotrophic factor (BDNF) and peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PGC-1α) proteins were found in tMCAO rats treated with donepezil compared with the control group (P < 0.05). Collectively, our findings show the validity of donepezil as a new therapeutic agent for attenuation of injury following ischaemic stroke through attenuation of inflammation and improvement of mitochondrial function, neurogenesis, and angiogenesis. © 2020, Springer Nature Switzerland AG