Unmanned aerial vehicles (UAVs) have the advantages of flexibility, low cost, and good communication channel gain. In recent years, inspection power grid systems supported by UAVs has been widely used. However, due to constraint wireless channels UAVs, it is impossible transmit video content surveillance center. To solve this problem, in study, a new mobile edge computing (MEC) technology-enabl...

This study describes three different data mining techniques for detecting abnormal lighting energy consumption using hourly recorded energy consumption and peak demand (maximum power) data. Two outliers’ detection methods are applied to each class and cluster for detecting abnormal consumption in the same data set. In each class and cluster with anomalous consumption the amount of variation fro...

With the fast development of mobile edge computing (MEC), there is an increasing demand for running complex applications on edge. These can be represented as workflows where task dependencies are explicitly specified. To achieve better Quality Service (QoS), computation offloading widely used in MEC environment. However, many existing strategies only focus independent tasks but overlook depende...

Since the random deployment of wireless multimedia sensor networks and excessive energy consumption, which is caused by hardware resource constraints, affect the network life cycle and other issues, this paper proposes the energy efficient network of genetic coding algorithm. The algorithm takes the maximum running rounds of network nodes and maximum deployment as the basis to establish the ini...

Multi-access edge computing (MEC) can improve the users' computational capacity and battery life by moving services to network edge. In addition, data-content caching on a MEC server improves user quality of experience decreases backhaul congestion. Moreover, non-orthogonal multiple access (NOMA) has recently been implemented increase throughput capacity. Combining these techniques performance ...

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...

Ahvaz can be regarded as one of the most polluted cities in the world in terms of air pollution. Successive years of drought and weather conditions in recent years have resulted in particulate matter (PM10) concentration in Ahvaz. In this study, using probability distribution techniques, an appropriate threshold to identify the PM10 maximum extreme concentrations (MEC) has been detected. Based ...

The main objective of this article is to optimize the walking pattern of a 2D humanoid robot with heel-off and toe-off motions in order to minimize the energy consumption and maximize the stability margin. To this end, at first, a gait planning method is introduced based on the ankle and hip joint position trajectories. Then, using these trajectories and the inverse kinematics, the position tra...