With the deployment of compute-intensive applications on mobile devices, some work aims to support these applications by enhancing mobile edge computing (MEC) using device-to-device (D2D) communicationtechnology. Dif...
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In human-computer interaction, we need to use human's multiple sensory channels and motion channels to improve its naturalness and efficiency. These channels include voice, handwriting, posture, vision, expression...
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In human-computer interaction, we need to use human's multiple sensory channels and motion channels to improve its naturalness and efficiency. These channels include voice, handwriting, posture, vision, expression, etc. Visual-based human-computer interaction systems are often mentioned in the literature. The system uses a camera to monitor and track the operator's posture, and sets corresponding commands to control the movement of the robot. On top of that, we add tactile feedback to allow the robot to accomplish more tasks. In the vision system, first we obtain color images and depth images through a depth camera. Secondly, we estimate the human posture through OpenPose. Finally, we map the motion of the human arm to the motion of the robotic arm. In the tactile system, first we control the movement of the magic hand through the exoskeleton. Secondly, we obtain the force values of the fingers through the magic hand. Finally, we provide force feedback to each finger through the exoskeleton.
The expectation-maximization (EM) and space-alternating generalized EM (SAGE) algorithms have been applied to direction of arrival (DOA) estimation in known noise. In this work, the two algorithms are proposed for DOA...
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The expectation–maximization (EM) algorithm updates all of the parameter estimates simultaneously, which is not applicable to direction of arrival (DOA) estimation in unknown nonuniform noise. In this work, we presen...
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With the previous method based on the signal strength of the three-beam interference source [1], after studying and deriving the antenna gain pointing model, this paper proposes a single-star interference source local...
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We present a simple method for the complete analysis of maximally hyperentangled state in polarization and spatial-mode degrees of freedom assisted by the weak cross-Kerr nonlinearity. Our method not only can be used ...
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A theoretical proposal for the complete analysis of high-dimensional Greenberger-Horne-Zeilinger (GHZ) state is presented in this Letter. We first demonstrate the approach for the complete three-photon GHZ state measu...
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With the rapid development of mobile internet cloud computing, the traditional network structure becomes non-suitable for advanced network traffic requirements. A service migration decision algorithm is proposed in th...
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In this paper, proportional fairness(PF)-based energy-efficient power allocation is studied for multiple-input multiple-output(MIMO) non-orthogonal multiple access(NOMA) systems. In our schemes, statistical channel st...
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In this paper, proportional fairness(PF)-based energy-efficient power allocation is studied for multiple-input multiple-output(MIMO) non-orthogonal multiple access(NOMA) systems. In our schemes, statistical channel state information(CSI) is utilized for perfect CSI is impossible to achieve in practice. PF is used to balance the transmission efficiency and user fairness. Energy efficiency(EE) is formulated under basic data rate requirements and maximum transmitting power constraints. Due to the non-convex nature of EE, a two-step algorithm is proposed to obtain sub-optimal solution with a low complexity. Firstly, power allocation is determined by golden section search for fixed power. Secondly total transmitting power is determined by fractional programming method in the feasible regions. Compared to the performance of MIMO-NOMA without PF constraint, fairness is obtained at expense of decreasing of EE.
Logistics vehicle and cargo matching problem is a typical combination optimization problem,which has important theoretical and application value in the field of logistics *** proved particle swarm optimization(PSO) al...
Logistics vehicle and cargo matching problem is a typical combination optimization problem,which has important theoretical and application value in the field of logistics *** proved particle swarm optimization(PSO) algorithm is one of the most extensive optimization methods studied in recent years,with excellent global search ability and convergence *** on the IPSO algorithm,this paper proposes an effective IPSO algorithm model for the matching problem of logistics vehicles and goods,and conducts the corresponding comparative *** final experimental results show that the algorithm has good results in practical application and can provide a feasible optimization method for solving the problem of logistics vehicles and goods.
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