BACKGROUND Biohythane is a new and high-value transportation fuel present as a mixture of biomethane and biohydrogen. It has been produced from different organic matters using anaerobic digestion. Bioenergy can be recovered from waste activated sludge through methane production during anaerobic digestion, but energy yield is often insufficient to sludge disposal. Microbial electrolysis cell (ME...

Abstract This paper investigates a non-orthogonal multiple access (NOMA)-aided mobile edge computing (MEC) network with sources and one point (CAP), in which NOMA technology is applied to transmit multi-source data streams CAP for computing. To measure the performance of considered NOMA-aided MEC network, we first design system cost as linear weighting function energy consumption delay under ne...

Potential energy calculations were employed to examine the effect of ribose 2’-O-methylation on the conformation of GpC. Minimum energy conformations and allowed conformational regions were calculated for 2’MeGpC and Gp2’MeC. The two lowest energy conformations of 2’MeGpC and Gp2’MeC are similar to those of GpC itself. The helical RNA conformation (sugar pucker-C(3’)-endo, w’ and w,g-g-, bases-...

Mobile edge computing (MEC) deployment in a multi-robot cooperation (MRC) system is an effective way to accomplish the tasks terms of energy consumption and implementation latency. However, computation communication resources need be considered jointly fully exploit advantages brought by MEC technology. In this paper, scenario where multi robots cooperate time-critical studied, intelligent mast...

Multi-access edge computing (MEC) is a novel paradigm that leverages nearby MEC servers to augment the computational capabilities of users with limited resources. In this paper, we investigate offloading problem in multi-user multi-server systems energy harvesting, aiming minimize both system latency and consumption by optimizing task offload location selection ratio.We propose hierarchical str...

This paper studies a multi-unmanned aerial vehicle (UAV) assisted mobile edge computing (MEC) system, where multiple UAVs equipped with MEC server are deployed to provide offloading services for ground users limited local resources. Specifically, each user divides its tasks into two parts: one part is offloaded the associated UAV calculation, and remaining calculated locally. It aimed minimize ...

In Federated Learning (FL), a global statistical model is developed by encouraging mobile users to perform the training on their local data and aggregating output parameters in an iterative manner. However, due limited energy computation capability at devices, performance of always stake meet objective minimization. this regard, Multi-access Edge Computing (MEC)-enabled FL addresses tradeoff be...

Although platinum is commonly used as catalyst on the cathode in microbial electrolysis cells (MEC), non-precious metal alternatives are needed to reduce costs. Cathodes were constructed using a nickel powder (0.5–1 mm) and their performance was compared to conventional electrodes containing Pt (0.002 mm) in MECs and electrochemical tests. The MEC performance in terms of coulombic efficiency, c...

Mobile Edge Computing (MEC) (a.k.a. fog computing) has recently emerged to enable low-latency and location-aware data processing at the edge of mobile networks. Since providing grid power supply in support of MEC can be costly and even infeasible in some scenarios, on-site renewable energy is mandated as a major or even sole power supply. Nonetheless, the high intermittency and unpredictability...

This present research work was carried out to evaluate the energy consumption in a typical Iranian building based on the forecast of climatic variables. Thus, the LARS-WG model was validated for some northwest stations of Iran, including Tabriz, Ardebil, Oromieh, Kermanshah, Hamedan, Sannandaj, Qazvin, and Zanjan. The average monthly outdoor temperature was forecasted from 2011 to 2100. The rel...