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Salient object detection has been greatly boosted thanks to the deep convolutional neural networks (CNN), especially fully convolutional neural networks (FCN). Nowadays, it is possible to train an end-to-end deep model for salient object detection. However, the diverse scales of salient objects still pose major challenges for these state-of-the-art methods. In this paper, we investigate how different...
We demonstrate 1600–2520 nm wavelength-tunable, high energy soliton generation using a large-mode-area fiber pumped by a compact fiber source. Using second harmonic generation, we show their applications for in vivo multi-photon mouse brain imaging.
We present a novel wavefront sensing scheme based on two-photon absorption in a conventional silicon camera for measuring aberrations of pulsed laser beams in the near-infrared wavelengths up to 2.0 μm.
Coordinated multi-points (CoMP) transmission has been widely proved to be effective to combat inter-cell interference in 3GPP LTE-Advanced systems. However, implementation complexity of inter-site CoMP and relatively low capacity gain of intra-site CoMP motivate us propose a beam coordinated multipoints (Beam-CoMP) transmission scheme for 5G millimeter-wave cellular network. Considering the specific...
The symmetrical compensation is widely used in inductive power transfer (IPT) system due to the advantages of achieving good coupling coefficient when the coils are perfectly aligned and easy to design. This paper investigates a general tuning method for voltage-fed symmetrical higher-order resonant networks for achieving load-independent transconductance. With the proposed tuning method, a resonant...
In this paper, compact memory strategies for partially parallel Quasi-cyclic LDPC (QC-LDPC) decoder architecture are proposed. By compacting several adjacent rows hard decisions and extrinsic messages into one memory entry, which not only reduces the number of memory banks for hard decisions, but also facilitates multiple data accesses per clock cycle, the throughput of the decoder is increased. We...
The traditional rectifier grid will bring a large number of harmonics and reactive voltage harmonic pollution, in order to reduce the grid side voltage harmonic component, this paper proposes a kind of three-phase photovoltaic grid-connected inverter based on grid voltage vector oriented dual closed loop control method. The SVPWM technology is used to realize the double closed-loop control model of...
The design, fabrication and testing of a novel resonant accelerometer integrated with a temperature sensor is presented in this paper. The accelerometer consists of double quartz resonators and a silicon substrate. A novel diamond like carbon (DLC) film with special electrical property, excellent mechanical property and chemical stability, which has negative temperature coefficient of resistance (TCR),...
This article proposes a novel design of an ultra-thin surface wave antenna. A simple structure of unit cell is utilized to provide sufficient phase gradient along the interface, then a low profile antenna working in the millimeter wave band is designed based on the metasurface and the generalized reflection law. The feeding part integrated on the same plane is to provide the quasiplane wave for a...
When we use binary tree support vector machine (SVM) to work the multi-classification problems out, we always find that the structure of the binary tree has a large chance and it has a great influence on the classification efficiency of the classification model. To solve this problem, according to the idea of separating the most widely distributed class first, an improved binary tree SVM multiple...
Machine learning has widely been used in crowdsourcing systems to analyze the behavior of their mobile users. However, it naturally raises privacy concerns, as personal data needs to be collected and analyzed in the cloud, and results need to be sent back to the users to improve their local estimates. In this paper, we focus on the use of a specific type of learning algorithms, called maximum a posteriori...
2D fully convolutional network has been recently successfully applied to the object detection problem on images. In this paper, we extend the fully convolutional network based detection techniques to 3D and apply it to point cloud data. The proposed approach is verified on the task of vehicle detection from lidar point cloud for autonomous driving. Experiments on the KITTI dataset shows significant...
Sea land segmentation is an essential part in remote sensing image processing, greatly reducing the interesting area. However, faced with the faster real-time processing of remote sensing images, the SLS algorithm's throughputs is always constrained by the self complexity and the on-chip resources. A new method based on MIMO for balancing resource and throughputs is proposed to segment the sea and...
Human neuron action potential detection has a great application in the field of neurosciences and neurotherapy. However, traditional technology can hardly perform a non-invasive action potential (AP) detection for small axon such as human neuron axon. We propose a new AP detection method by measuring the AP induced magnetic pulse signal utilizing nitrogen vacancy (NV) centers in nanodiamond. This...
The study aims to research the effecting factors of the level of independent innovation ability in China, constructing innovation environment by the grey clustering model and build the national innovation capability evaluation index system, including the innovation input, innovation output and innovation potential of 4 indexes and 17 level two indexes. The related data of 26 countries was collected...
a new adaptive constrained multi-objective biogeography-based optimization based on two-stage elite selection, ACMBBO, is proposed to solve constrained multi-objective optimization problems. According to the feature on constrained multi-objective and the evolutionary mechanism of BBO, the model of constrained multi-objective optimization which applies to BBO is built. In the model, the habitat suitability...
The selection of virtualized network functions (VNFs) in service provisioning is a critical issue in inter-datacenter elastic optical networks. In this paper, considering load balancing of IT and spectrum resources, we propose two joint balancingfactors, i.e., Global Balancing factor (GB-factor) and Local Balancing factor (LB-factor) for VNFs selection. Then a Joint-Optimization Selection (JOS) algorithm...
The influence of void distribution on the transverse mechanical properties of unidirectional composites is studied. Firstly, using Matlab to obtain composites microscopic voids radius distribution. Secondly, based on void radius distribution, the representative volume element (RVE) of composites microstructure with random fiber, matrix, and random voids are generated by random algorithm. Finally,...
The extended target tracking (ETT) is widely used in various surveillance applications. In order to improve tracking accuracy and filtering efficiency of the existing Bernoulli filters, we present an improved Bernoulli filter in this paper. Firstly, the filtering equations of the proposed filter are analytically derived. After employing the weight optimization scheme, we discuss the particle implementation...
In this paper, linear quadratic control is considered for linear time invariant (LTI) systems with dynamic output feedback. Firstly, a new matrix inequality is presented for LTI systems with quadratic criterion and Lyapunov function. Secondly, nonlinear matrix inequality is transformed into linear matrix inequalities (LMIs) with the ideas of elimination. Consequently, the synthesis of linear quadratic...
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