The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
We propose a unified deep neural network (DNN) approach to achieve both high-quality enhanced speech and high-accuracy automatic speech recognition (ASR) simultaneously on the recent REverberant Voice Enhancement and Recognition Benchmark (RE-VERB) Challenge. These two goals are accomplished by two proposed techniques, namely DNN-based regression to enhance reverberant and noisy speech, followed by...
Integrated Task and Motion Planning (ITMP) for mobile robots becomes a new trend. Most existing methods for ITMP either restrict to static environments or lack performance guarantees. This motivates us to use formal design methods for mobile robots ITMP in a dynamic environment with moving obstacles. Our basic idea is to synthesize a global integrated task and motion plan through composing simple...
Nowadays, the analysis of social networks, as well as the community evolution has become a hotly discussed topic in social computing field. In this paper, we focus on mining and tracking the dynamic communities based on social networking analysis. Based on a generic framework for the dynamic community discovery, a computational approach is developed to extract users' static and dynamic features for...
We investigate the effects of time and frequency sampling on short-time Fourier transform modifications to be used for speech dereverberation based on deep neural networks (DNNs). We first show that by adopting a linear activation function at the output layer and globally normalizing the target features into zero mean and unit variance, better performances can be obtained than existing DNN approaches...
We adopt a linear activation function at the output layer and globally normalize the target features into zero mean and unit variance to learn the complicated mapping from reverberant to anechoic speech with a regression model based on deep neural networks (DNNs). The proposed feature activation and normalization framework was found to retain clearly observable harmonics and improve the speech quality...
We propose an assume-guarantee reasoning (AGR) framework for verification problem of a system with two components modeled by Markov Decision Process (MDP) and Partially Observable MDP (POMDP), respectively. MDP-POMDP model describes system's sensing, actuation and environment uncertainties, which can be used in the modeling of systems containing different subsystems, e.g., human-robot collaboration...
In this paper, we introduce a procedure for the null broadening algorithm design with respect to the perturbation of the interference location. This method is based on maximizing the array output signal-to-interference-plus-noise-ratio (SINR) subject to quadratic constraints. The design problem can be cast as a fractional quadratically constrained quadratic programming (QCQP) problem that can be solved...
We present a detection-based three-level hierarchical association approach to robustly track multiple objects in crowded environments from a single camera. At the low level, reliable tracklets (i.e. short tracks for further analysis) are generated by linking detection responses based on conservative affinity constraints. At the middle level, these tracklets are further associated to form longer tracklets...
Clustering or categorizing an unprocessed data set is essential and critical in many areas. Much success has been published, which first needs to calculate the mutual distances between data points. It suffers from considerable computational costs, preventing the state-of-the-art methods such as the clustering method by fast search and find of density peaks (FSFDP, published in Science, 2014) from...
The Courant-Friedrichs-Lewy (CFL) condition has been considered to be a benchmark that ensures stable electromagnetic modeling while using explicit finite-difference time-domain (FDTD) method. It has been recently shown that the stability limit of FDTD can be surpassed by filtering unstable high frequency components for computational domain within uniform grids. As many models only have fine structure...
Silicone rubber (SIR) suffer from high contamination when insulators operate in heavy industrial area, thus further research about hydrophobicity transfer property under heavy contamination is needed. In this paper, NaCl was used as soluble salt and industrial kaolin was used as inert material to study hydrophobicity transfer property of room temperature vulcanized (RTV) SIR and high temperature vulcanized...
Information security of industrial control systems (ICS) is increasingly critical and as a key part of the ICS, the industrial supervisory control configuration software has a great impact on the ICS information security. Accordingly, the current information security issues of the industrial supervisory control configuration software, such as low security protection level, quantities of vulnerabilities,...
The Synthetic Impulse and Aperture Radar (SIAR), which is a typical Multiple Input Multiple Output (MIMO) radar with orthogonal frequency waveforms, has the advantages of more degrees of freedom, higher angular resolution and target detection probability than traditional phased array radar. In this paper, a brief introduction of the basic features and the advantages of SIAR is given first. Then two...
In this letter, we present a three-dimensional (3-D) artificial anisotropy weakly conditional stability finite-difference time-domain (WCS-FDTD) method to achieve better dispersion performance. This artificial anisotropy WCS-FDTD algorithm can minimize the dispersion error for arbitrary incident angles and different time-step sizes. Stability analysis presents that this algorithm is weakly conditionally...
With the development of mobile application reinforcement technology, traditional detecting and reverse analysis technology has been unable to cope with the reinforced mobile application using new reinforcement technology. In this paper, we analyze the mechanism of new reinforcement technology such as process state detection and memory protection, and proposed a novel shelling method using Hook and...
We proposed a novel model to predict human's visual attention when free-viewing webpages. Compared with natural images, webpages are usually full of salient regions such as logos, text, and faces, while few of them attract human's attention in a short sight. Moreover, webpages perform distinct viewing patterns which are quite different from the natural images. In this paper, we introduced multi-features...
The high development of emerging computing paradigms, such as Ubiquitous Computing, Mobile Computing, and Social Computing, has brought us a big change from all walks of our work, life, learning and entertainment. Especially, with the high accessibility of social networking services along with the increasingly pervasive use of portable wireless mobile computing devices, more and more populations have...
Critical coupling phenomena is a structure absorbs nearly 100% of incident electromagnetic energy, leading to null scattering. This strong light-matter interactions can lead to extremely compact and high performance photonic devices based on graphene and other two-dimensional materials. The graphene's surface conductivity is governed by the Kubo formula, Graphene cannot support plasmonic effects in...
Using a quantum-corrected model, the optical cross section of a strongly coupled metallic nanowire dimer for variable separation widths of the junction between the nanowires is analysed by finite-different time-domain method. Numerical results show the classical electrodynamics fails to describe the coupling across sub-nanometer gaps, owing to non-local screening and the spill-out of electrons, where...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.