Benefiting from its abundant computing resources and low latency, mobile edge (MEC) is a promising approach for enhancing the capacity of 5G Internet vehicles (IoV). Because high mobility, handover frequent inevitable in IoV networks. In this paper, we investigate an collaborative task offloading splitting strategy MEC-enabled networks, which splitted on paralleling executed by each part severa...

Non-orthogonal multiple access (NOMA) assisted mobile edge computing (MEC) has recently attracted significant attention due to its superior capability reduce the energy consumption and latency of MEC offloading. In this paper, a general hybrid NOMA-MEC offloading strategy is proposed, which includes conventional orthogonal (OMA) pure NOMA based as special cases. A multi-objective optimization p...

We consider the problem of intelligent and efficient resource management framework in mobile-edge computing (MEC), which can reduce delay energy consumption, features distributed optimization congestion avoidance. In this article, we present a cooperative learning for MEC from an alternating direction method multipliers (ADMMs) perspective, named CL-ADMM framework. First, task requires both use...

Microbial electrolysis cells (MECs) can be used to simultaneously convert wastewater organics to hydrogen and precipitate struvite, but scale formation at the cathode surface can block catalytic active sites and limit extended operation. To promote bulk phase struvite precipitation and minimize cathode scaling, a two-chamber MEC was designed with a fluidized bed to produce suspended particles a...

A widely cited review of the digestive efficiency of birds concluded that the apparent Metabolisable Energy Coefficient (*MEC), a measure of the efficiency of energy assimilation, did not vary between bird orders. To test whether this result was due to the variation between the experimental methods of the studies chosen for the review, the *MEC was measured for four species (two galliforms and ...

Abstract The enormous computing tasks in the Mobile Edge Computing (MEC) beget challenges correlated with cost, energy consumption and quality of service. However, existing studies are not optimized enough for MEC terms selection task classification scheduling schemes. Inspired by spam idea, a novel scheme is proposed via Bayesian Classifier. first categorized into three priority categories usi...

Task offloading in mobile edge computing (MEC) improves the efficacy of devices terms performance, data storage, and energy consumption by computational tasks to servers. Efficient task can leverage MEC technology reduce processing latency consumption. By integrating reasoning ability machine intelligence cognitive architecture, such as SOAR ACT-R, reinforcement learning (RL) algorithms have be...

drying properties of high moisture potato slices with initial moisture content of about 4.06 (db) under thin layer fixed, semi fluidized and fluidized bed conditions were studied. drying air temperatures of 40, 50, 60 and 70°c were applied in experiments using a laboratory fluidized bed convective dryer. in order to predict the drying behavior of potato slices, seven thin layer drying models we...

in iran the mainstreaming tool for integrating environmental concerns into energy sector is an energy-environment review (eer-iran). this paper comprises: (i) an analysis of the current situation with regards to energy production and consumption; (ii) an evaluation of the growth prospects with regard to energy production and consumption; (iii) the identification of environmental issues induced ...

One of the most significant and effective criteria in the process of cutting dimensional rocks using the gang saw is the maximum energy consumption rate of the machine, and its accurate prediction and estimation can help designers and owners of this industry to achieve an optimal and economic process. In the present research work, it is attempted to study and provide models for predicting the m...