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Multi-Normal Estimation via Pair Consistency Voting
The normals of feature points, i.e., the intersection points of multiple smooth surfaces, are ambiguous and undefined. This paper presents a unified definition for point cloud normals of feature andExpand
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Joint Rate Control and Power Allocation for Non-Orthogonal Multiple Access Systems
This paper investigates the optimal resource allocation of a downlink non-orthogonal multiple access (NOMA) system consisting of one base station and multiple users. Unlike existing short-term NOMAExpand
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STAT3-dependent transactivation of miRNA genes following Toxoplasma gondii infection in macrophage
BackgroundThe apicomplexan parasite Toxoplasma gondii can infect and replicate in virtually any nucleated cell in many species of warm-blooded animals; T. gondii has elaborate mechanisms toExpand
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Toxoplasma gondii isolate with genotype Chinese 1 triggers trophoblast apoptosis through oxidative stress and mitochondrial dysfunction in mice.
Congenital toxoplasmosis may result in abortion, severe mental retardation and neurologic damage in the offspring. Placental damage is considered as the key event in this disease. Here we show thatExpand
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Gait Optimization of Biped Robot Based on Mix-encoding Genetic Algorithm
A seven-link biped robot model with 12 rotational DOF was chosen for gait optimization. The vector describing robot's position and pose was established, then the vector's expected locus during aExpand
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Secrecy outage probability and jamming coverage of UAV-enabled friendly jammer
In this paper, we examine the secrecy performance of an unmanned aerial vehicle (UAV) equipped with an air-to-ground jammer and a ground communications network comprising a legitimateExpand
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Implementation of a DSP-based power converter for a wind induction generator
This paper presents the implementation and design of a power converter for an autonomous wind self-excited induction generator (SEIG) feeding an isolated load through the employment of a DSP-basedExpand
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A deep learning framework for identifying children with ADHD using an EEG-based brain network
Abstract The convolutional neural network (CNN) is a mainstream deep learning (DL) algorithm. However, the application of DL techniques in attention-deficit/hyperactivity disorder (ADHD) studies isExpand
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A study of path planning algorithm of mobile robot
Path planning of mobile robot is one of the most important subjects in the robotics studies. In this article, based on the two-wheel drive robot, one kind of circle moving can be generalized from allExpand
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An Effectively Preprocessing Method to Enhance the Security of Image Watermarking System
This paper presented a watermarking preprocessing scheme of digital image aiming at the watermarking security. Through chaotic map, random matrices are padded out with chaotic sequences. Moreover,Expand
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