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Dual-source electric vehicles powered by both on-board battery and grid electricity offer unique advantages in fuel economy, cost reduction, driveability, and grid support, which are especially appealing for public transportation in populated cities. The structures of their power supply systems create naturally a networked system of vehicles sharing common feeders. Their power management and control...
Skeleton-based human action recognition with depth sensors have a renewed interest based on the development of popular depth sensors. This paper presents a new skeletal representation, Limb-based Skeleton Representation (LSR) that explicitly models 10 limbs as spherical coordinate in 3D space, and extract angular velocity feature based on the spherical coordinate representation. Using the Spherical...
Energy efficiency is an extremely important performance indicator for device-to-device communications due to the limited battery capacity of user equipments (UEs). In this paper, we focus on the two-stage EE optimization problem, which consists of a channel and power allocation problem in the first stage, and a context-aware D2D peer recovery problem in the second stage. We incorporate a many-to-one...
In Mobile Peer-to-Peer networks (MP2P), the network state information is difficult to measure accurately, and application requirement on quality of service (QoS) and trust is also hard to exactly express. Therefore, trust QoS routing scheme should be based on the fuzzy information. In this paper, we propose a trust QoS routing scheme based on interval matching. It applies the interval form to denote...
Teaching-learning-based optimization (TLBO) algorithm is a new intelligence algorithm. It takes evaluation scheme which updates learners' grade totally in solving multi-dimensional function optimization problems, thus decreases the convergence speed. Moreover, the interference phenomena among dimensions would influence the quality of solutions. While all existing improvement strategies on TLBO introduce...
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