For multiple Unmanned-Aerial-Vehicles (UAVs) assisted Mobile Edge Computing (MEC) networks, we study the problem of combined computation and communication for user equipments deployed with multi-type tasks. Specifically, consider that MEC network encompasses both uncertainties, where partial channel state information inaccurate estimation task complexity are only available. We introduce a robus...

microbial electrolysis cell (mec) is one of the promising and cutting-edge technologies for generating hydrogen from wastewater through biodegradation of organic waste by exoelectrogenic microbes. in the mecs, the operational parameters, such as applied voltage (eap), anode surface area, anode-cathode distance, and n2/co2 volume ratio have a significant impact on the hydrogen yield and producti...

Transferring product environmental information to consumer to promote eco-product in the market and to promote sustainable consumption is considered as an important challenge especially according to the Integrated Product Policy (IPP) and the eco-design directive for Energy Using Products (EUP). In this paper the three core areas of consumer analysis on eco-products are identified. In order to ...

crops and agricultural products are subject to natural loading during growth. different mechanical forces are also exerted on them during harvest. one product, sugar cane, experiences large shear forces are during harvest. an examination of the crop properties and machine parameters of sugar cane are necessary to develop appropriate cutting tools and the optimization and design of harvesting ma...

In this paper, we investigate a mobile edge computing (MEC) network with two computational access points (CAPs), where the source is equipped multiple antennas and it has some tasks to be accomplished by CAPs through Nakagami-m distributed wireless links. Since MEC involves both communication computation, first define outage probability taking into account joint impact of latency energy consump...

With the continuous development of intelligent transportation system technology, vehicle users have higher and requirements for low latency high service quality task computing. The computing offloading technology mobile edge (MEC) has received extensive attention in Internet Vehicles (IoV) architecture. However, due to limited resources MEC server, it cannot meet requests from multiple simultan...

AIMS The objective assessment of maximal exercise capacity (MEC) using peak oxygen consumption (VO2) measurement may be helpful in the management of asymptomatic aortic stenosis (AS) patients. However, the relationship between left ventricular (LV) function and MEC has been relatively unexplored. We aimed to identify which echocardiographic parameters of LV systolic function can predict MEC in ...

Abstract With the growing popularity of Internet Things (IoT), Mobile Edge Computing (MEC) has emerged for reducing heavy workload at multi-cloud core network by deploying computing and storage resources edge close to users. In IoT, services are data-intensive event-driven, resulting in extensive dependencies among services. Traditional task offloading schemes face significant challenges IoT sc...

In recent years, with the continuous development of information technology, amount data generated and hosted by cloud service platforms in urban environments is unprecedented. Mobile edge computing (MEC) combined UAV networks to better realize ability provide nearby services a large number terminal devices cities. Unmanned aerial vehicles (UAVs) are highly maneuverable inexpensive good carriers...

a numerical model for two-phase debris flows is developed in this paper, on the basis of understanding of the physical characteristics of debris flows from field investigations and experiments. employing a moving coordinate, the kinetic energy equation of gravel particles in unit volume in debris flow is developed by considering the potential energy of the particles, energy from the liquid phas...