News Article | December 5, 2016
This report studies the global Vehicle Voice Recognition System market, analyzes and researches the Vehicle Voice Recognition System development status and forecast in United States, EU, Japan, China, India and Southeast Asia. This report focuses on the top players in global market, like Apple Ford Motors Harman International Mercedes-Benz Microsoft Nuance Communications VocalZoom Voicebox Technologies Bayerische Motoren Werke Citroen Daimler AG Fiat Chrysler Automobiles General Motors Honda Motor Hyundai Motor Nissan Motor Company Toyota Motor Corp Volkswagen AG Volvo Cars Anhui USTC iFlytek Google Harman International Industries LumenVox Sensory Inc Market segment by Application, Vehicle Voice Recognition System can be split into Application 1 Application 2 Application 3 United States, EU, Japan, China, India and Southeast Asia Vehicle Voice Recognition System Market Size, Status and Forecast 2021 1 Industry Overview of Vehicle Voice Recognition System 1.1 Vehicle Voice Recognition System Market Overview 1.1.1 Vehicle Voice Recognition System Product Scope 1.1.2 Market Status and Outlook 1.2 Global Vehicle Voice Recognition System Market Size and Analysis by Regions 1.2.1 United States 1.2.2 EU 1.2.3 Japan 1.2.4 China 1.2.5 India 1.2.6 Southeast Asia 1.3 Vehicle Voice Recognition System Market by End Users/Application 1.3.1 Application 1 1.3.2 Application 2 1.3.3 Application 3 2 Global Vehicle Voice Recognition System Competition Analysis by Players 2.1 Vehicle Voice Recognition System Market Size (Value) by Players (2015-2016) 2.2 Competitive Status and Trend 2.2.1 Market Concentration Rate 2.2.2 Product/Service Differences 2.2.3 New Entrants 2.2.4 The Technology Trends in Future 4 Global Vehicle Voice Recognition System Market Size by Application (2011-2016) 4.1 Global Vehicle Voice Recognition System Market Size by Application (2011-2016) 4.2 Potential Application of Vehicle Voice Recognition System in Future 4.3 Top Consumer/End Users of Vehicle Voice Recognition System 5 United States Vehicle Voice Recognition System Development Status and Outlook 5.1 United States Vehicle Voice Recognition System Market Size (2011-2016) 5.2 United States Vehicle Voice Recognition System Market Size and Market Share by Players (2015-2016) 6 EU Vehicle Voice Recognition System Development Status and Outlook 6.1 EU Vehicle Voice Recognition System Market Size (2011-2016) 6.2 EU Vehicle Voice Recognition System Market Size and Market Share by Players (2015-2016) 7 Japan Vehicle Voice Recognition System Development Status and Outlook 7.1 Japan Vehicle Voice Recognition System Market Size (2011-2016) 7.2 Japan Vehicle Voice Recognition System Market Size and Market Share by Players (2015-2016) 8 China Vehicle Voice Recognition System Development Status and Outlook 8.1 China Vehicle Voice Recognition System Market Size (2011-2016) 8.2 China Vehicle Voice Recognition System Market Size and Market Share by Players (2015-2016) 9 India Vehicle Voice Recognition System Development Status and Outlook 9.1 India Vehicle Voice Recognition System Market Size (2011-2016) 9.2 India Vehicle Voice Recognition System Market Size and Market Share by Players (2015-2016) 10 Southeast Asia Vehicle Voice Recognition System Development Status and Outlook 10.1 Southeast Asia Vehicle Voice Recognition System Market Size (2011-2016) 10.2 Southeast Asia Vehicle Voice Recognition System Market Size and Market Share by Players (2015-2016) 11 Market Forecast by Regions and Application (2016-2021) 11.1 Global Vehicle Voice Recognition System Market Size (Value) by Regions (2016-2021) 11.2 Global Vehicle Voice Recognition System Market Size (Value) by Application (2016-2021) 11.3 The Market Drivers in Future 12 Vehicle Voice Recognition System Market Dynamics 12.1 Vehicle Voice Recognition System Market Opportunities 12.2 Vehicle Voice Recognition System Challenge and Risk 12.2.1 Competition from Opponents 12.2.2 Downside Risks of Economy 12.3 Vehicle Voice Recognition System Market Constraints and Threat 12.3.1 Threat from Substitute 12.3.2 Government Policy 12.3.3 Technology Risks 12.4 Vehicle Voice Recognition System Market Driving Force 12.4.1 Growing Demand from Emerging Markets 12.4.2 Potential Application 13 Market Effect Factors Analysis 13.1 Technology Progress/Risk 13.1.1 Substitutes 13.1.2 Technology Progress in Related Industry 13.2 Consumer Needs Trend/Customer Preference 13.3 External Environmental Change 13.3.1 Economic Fluctuations 13.3.2 Other Risk Factors
Wang X.-C.,Ningbo University |
He J.-S.,Ningbo University |
Communications in Theoretical Physics | Year: 2011
The rogue waves with a controllable center are reported for the nonlinear Schrödinger equation in terms of rational-like functions by using a direct method. The position of these solutions can be controlled by choosing different center parameters and this may describe the possible formation mechanisms for optical, oceanic, and matter rogue wave phenomenon in optical fibres, the deep ocean, Bose - Einstein condensates respectively. © 2011 Chinese Physical Society and IOP Publishing Ltd.
Li X.,USTC |
Finnigan G.T.,Autodesk |
Sederberg T.W.,Brigham Young University
ACM Transactions on Graphics | Year: 2016
This paper develops new refinement rules for non-uniform Catmull-Clark surfaces that produce G1 extraordinary points whose blending functions have a single local maximum. The method consists of designing an "eigen polyhedron" in ℝ2 for each extraordinary point, and formulating refinement rules for which refinement of the eigen polyhedron reduces to a scale and translation. These refinement rules, when applied to a non-uniform Catmull-Clark control mesh in ℝ3, yield a G1 extraordinary point. © 2016 ACM.
Proceedings of SPIE - The International Society for Optical Engineering | Year: 2013
It's difficult to detect the ultra-weak light with conventional method. By using APD, we can transform the weak light to feeble current. And it's a great challenge to design the low noise and high gain front-end electronics of InGaAs photoelectric detector. The first step to design is to calculate the noise margin of system and the bandwidth of system. And then, choose the appropriate amplifier of the system. Finally, design the whole circuit which is working stably. In this paper, we bring about a whole process of design and simulation of the front-end electronics of InGaAs photoelectric detector in theoretical ways. © 2013 SPIE.
Journal of Physics A: Mathematical and Theoretical | Year: 2011
The (N, M)-bigraded Toda hierarchy is an extension of the original Toda lattice hierarchy. The pair of numbers (N, M) represents the band structure of the Lax matrix which has N upper and M lower diagonals, and the original one is referred to as the (1, 1)-bigraded Toda hierarchy. Because of this band structure, one can introduce M + N - 1 commuting flows which give a parametrization of a small phase space for a topological field theory. In this paper, first we show that there exists a natural symmetry between the (N, M)- and (M, N)-bigraded Toda hierarchies. We then derive the Hirota bilinear form for those commuting flows, which consist of two-dimensional Toda hierarchy, the discrete KP hierarchy and its Bäcklund transformations. We also discuss the solution structure of the (N, M)-bigraded Toda equation in terms of the moment matrix defined via the wave operators associated with the Lax operator and construct some of the explicit solutions. In particular, we give the rational solutions which are expressed by the products of the Schur polynomials corresponding to the non-rectangular Young diagrams. © 2011 IOP Publishing Ltd.
Zhu J.-K.,USTC |
Tongxin Xuebao/Journal on Communications | Year: 2013
o provide a research and design standard for green cellular networks with the presence of multi-cell interference and handover cases, the network transmission capacity (network spectral efficiency) and energy efficiency functions of the cellular network was researched, and the relationship between the power consumption and the spectrum efficiency in the cellular networks was revealed. First, the energy efficiency function of the cellular networks was defined. Based on this, the cell interference depth and the handoff dynamic model of cellular networks were proposed, and then the network spectrum-efficiency of the cellular networks was analyzed in the presence of multi-cell interference and handoff, and its mathematical expression was derived. Finally, the energy-efficiency function of the cellular networks and its numerical results were deducted and discussed. These results will provide a useful theoretical basis for green design of cellular networks.
Zhang J.,USTC |
Zhou W.,USTC |
2015 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2015 - Proceedings | Year: 2015
In this paper, we propose a new system for isolated sign language recognition (SLR) and continuous SLR. In isolated SLR, Histogram of Oriented Displacement is used to describe the trajectories, and multi-SVM is adopted for classification. In continuous SLR, we propose a Dynamic Programming method with warping templates obtained by Dynamic Time Warping (DTW) algorithm. We evaluate our approach with 450 phrases and 180 sentences recorded by Kinect and compare with classical methods, including Hidden Markov Models and state-of-the-art Conditional Random Fields (CRF), Hidden CRF and Latent Dynamic CRF. The experiments demonstrate the effectiveness of our method. © 2015 IEEE.
Sun F.,USTC |
Yin H.,USTC |
IEEE Communications Letters | Year: 2012
In this paper, the effect of finite-resolution analog-to-digital converter (ADC) quantization on ultra-wideband (UWB) time of arrival (TOA) estimation is investigated. The deflection criterion is introduced for optimizing the nonuniform quantization. The training based TOA estimation algorithm using maximum likelihood (ML) rule is proposed. Compared with the full-resolution and energy-detection (ED) estimators via simulation, we demonstrate that our training based 3-level quantization scheme is satisfactory because it can approach a full-resolution estimator while decreasing the complexity greatly. © 2006 IEEE.
Wei B.,Anhui University of Science and Technology |
Gong X.,Anhui University of Science and Technology |
Journal of Applied Polymer Science | Year: 2010
Magnetorheological elastomers (MREs) are mainly composed of magnetizable particles and elastic polymer. The polymer matrix plays an important role in mechanical performances of MREs. in this study, the polyurethane (PU), which is synthesized by using toluene diisocyanate (TDI) and poly (propylene glycol) (PPG-220), is selected as a matrix because it has better degradation stability than natural rubber and higher mechanical stability than silicone rubber. Four different MRE samples were fabricated by adjusting the reaction molar ratio of TDI to PPG to change the property of PU matrix. Structural characterization of the PU matrix was described by Fourier transform infrared analysis. The microstructures of samples were observed by using an environmental scanning electron microscope. The mechanical performances of samples, including shear modulus, magnetorheological effect (MR) effect, loss factor, and glass transition temperature (Tg), were characterized with dynamic mechanical analyzer. The results show that the shear modulus, the relative magnetic residual shear modulus and glass transition temperatures of samples increase with the increment of toluene diisocyanate, while the relative MR effects and loss factors decrease steadily. The experimental results indicate that optimal molar ratio (TDI : PPG) is 3 : 1. The field-induced shear modulus of sample with molar ratio 3 : 1 is 4.9 MPa, and the relative MR effect is 121% under an external magnetic field of 800 mT at room temperature. © 2009 Wiley Periodicals, Inc.
News Article | April 16, 2016
Engineers in China have created a highly realistic female robot specially designed to interact with humans in a submissive manner. The robot companion, nicknamed "Jiajia", was conceptualized and developed by a team of researchers at the University of Science and Technology of China (USTC). Technologically, Jiajia doesn't introduce any new breakthroughs when it comes to robotics. The developers instead focused on making the robot act submissively to her owner. She's even programmed to talk to humans using words that are sexist in tone. During Jiajia's presentation to the local Chinese media on Friday, she introduced her male creators as her "lords". She also shied away when journalists tried to take pictures of her, stating that it would make her look fat if they pointed their cameras too close to her face. Chen Xiaoping, director of the USTC that created Jiajia, explained that it took them three years of research and development in order to make her act very realistically, from the movement of her lips and body to showing micro-expressions on her face. He said that compared to other interactive robots previously developed, Jiajia is capable of rolling her eyeballs naturally and move her lips in tune with her speech. She was also designed to have a body that highly resembles that of humans. Chen added that so far, Jiajia is still not able to show emotions such as laughing or crying, but they are already working on giving these features to her. "We hope to develop the robot so it has deep learning abilities," Chen said. "We will add facial expression recognition and make it interact more deeply with people." The researchers hope that Jiajia would turn out to be a "robot goddess". They said that she is priceless and that they currently have no plans to make more ultrarealistic robots like her. © 2016 Tech Times, All rights reserved. Do not reproduce without permission.