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In this paper, we present a realtime natural interaction system by using Kinect sensor. It can stability and smoothly control hand like mouse by user's holding hands, and implement common mouse operations such as 'clicking', 'dragging' and 'dropping' so on. Our interaction system is made of several novel technique. It can identify the user's interaction with intent by detecting the engaged/disengaged...
Collaborative filtering is widely used in recommender systems. When training data are extremely sparse, neighbor selection methods work ineffectively. To address this issue, this paper proposes a distributed representation model that represents users as low-dimensional vectors for neighbor selection by considering the chronological order of users' ratings. Experiments show that the proposed method...
Content Based Image Retrieval (CBIR) systems that search similar images in a large database are attracting more and more research interests recently, and have been applied to medical image characterization for expert's experience sharing. One challenging task in CBIR is how to extract features for effective image representation. Therein sparse coding technique has been proven to be an effective way...
In this paper, we design a system that can make calligraphy in real-time by using real Chinese brush. The system consists of two parts: calligraphy stroke generation and ink dispersion. In the calligraphy stroke generation, we use Kalman filter algorithm to deal with the unsmooth points at low speed, and combine arc and linear interpolation method to interpolate points with high speed, then we fill...
Trigger detection plays a key role in the extraction of biomedical events, so it will influence the results of biomedical events extraction directly. The traditional biomedical event trigger recognition method is based on artificial design features and construct feature vectors; Not only does it consume great amounts of manpower, it also lacks system generalization ability. Most of methods of trigger...
We experimentally demonstrate hybrid orbital angular momentum (OAM) Mode and Gaussian mode encoding/decoding for 10-Gbit/s data transmission through a 2.6-km conventional graded-index multimode Fiber (OM3), and achieve bit-error rate (BER) below 3.8e-3.
We experimentally demonstrate 20 Gbit/s data transmission over a 1.1 km elliptical-core few-mode fiber (EC-FMF) link assisted by mapping from conventional amplitude modulation to spatial mode modulation, and achieve a 0.7 dB OSNR penalty improvement than single mode transmission at a BER of 3.8e-3.
We propose and fabricate high-performance subwavelength grating (SWG) slot waveguides on an SOI platform for the short-wave infrared (SWIR). We further demonstrate 5-Gbit/s direct modulation data transmission in the emerging 2 μm communications waveband.
A chip-scale reflective metasurface is designed and fabricated for generating 2 μm orbital angular momentum (OAM) mode with topological charge of +1 or −1. We also study the operation performance of fabricated OAM mode generator in experiment.
Silicon strip and slot waveguides are fabricated and 5 Gb/s directly-modulated data transmission is demonstrated in 2 μm waveband. The results indicate the suitability of SOI platform for chip-scale data transmission in the mid-infrared wavelength.
To study on the influence of Vehicle Cluster Driving (VCD) behavior on Traffic Flow Efficiency on freeway, a new two-lane cellular automaton model which has been improved the accelerate, decelerate and change lane regulation of NaSch cellular automaton is proposed. By comparing the influence of vehicle cluster driving behavior with Vehicle Free Driving (VFD) behavior on average vehicle speed and Lane...
A novel knowledge discovery method for quality improvement in finish milling is proposed in this paper. Instead of quality experiment, the method is based on manufacture data applied in a more complex production environment to identify the factors leading to quality defects. Akaike's Information Criterion is modeled as an evaluation function to select process features based on condition where logistic...
For the sake of improving the precision of speech emotion recognition, this paper proposed a novel speech emotion recognition approach based on Gaussian Kernel Nonlinear Proximal Support Vector Machine (PSVM) to recognize four basic human emotions (angry, joy, sadness, surprise). Firstly, preprocess speech signal containing sampling, quantification, pre-emphasizing, framing, adding window and endpoint...
A novel PWM/PFM hybrid-mode auto-change technique for buck DC-DC converter is proposed. The proposed technique utilizes the comparator propagation delay to decide the mode changing point without adding complicated PMW/PFM hybrid-mode controller. The proposed concept enables compact and simple implementation of hybrid-mode buck DC-DC converter. Simulation results show that the buck DC-DC converter...
Accurate and reliable positioning of vehicles is a decisive factor for many Intelligent Transportation System (ITS) applications. Under the cooperative environment, the eco-driving at specific scenarios, like intersections, requires vehicle motion state information, which can be provided by Global Navigation Satellite System (GNSS) with an integrity monitoring capability. In order to provide effective...
Uncertainties of connected vehicle (CV) system, such as vehicle position error, communication delay and penetration rate would significantly influence the systematic performance. A simulation and testing method for evaluating the effects of uncertainties to connected vehicle safety is proposed in this paper. To construct the basic simulation environment, a five-subsystem simulation structure is designed...
We propose the use of a light-weight setup consisting of a collocated camera and light source – commonly found on mobile devices – to reconstruct surface normals and spatially-varying BRDFs of near-planar material samples. A collocated setup provides only a 1-D “univariate” sampling of a 3-D isotropic BRDF. We show that a univariate sampling is sufficient to estimate parameters of commonly used analytical...
With the development of economy, the accelerating urbanization and the increase of car ownership and road traffic, the traffic congestion and safety problem has been becoming more and more serious. Especially, a car would encounter a great number of signalized and unsigned intersections in the regionalized road network. In this paper, we illustrate the control theory of the unsigned intersection and...
The modern image search system requires semantic understanding of image, and a key yet under-addressed problem is to learn a good metric for measuring the similarity between images. While deep metric learning has yielded impressive performance gains by extracting high level abstractions from image data, a proper objective loss function becomes the central issue to boost the performance. In this paper,...
Two topology optimization methods, namely material distribution and level-set methods, are used for optimization of microstrip antennas. By successive application of the two methods, the optimization process can take advantage of the powerful topology-searching ability of the material distribution method and the feature of generating structures with smooth and low-sensitivity boundaries of level-set...
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