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This paper reveals the correlations between discourse structure and acoustic parameters and presents a method of manipulating discourse prosody in relation to discourse structure to improve the naturalness of synthesis speech. The text material included 1229 passages. The texts were annotated using Rhetorical Structure Theory. Prosody measurements were extracted from the corresponding speech annotation...
Addressing the problem of information overload, automatic multi-document summarization (MDS) has been widely utilized in the various real-world applications. Most of existing approaches adopt term-based representation for documents which limit the performance of MDS systems. In this paper, we proposed a novel unsupervised pattern-enhanced topic model (PETMSum) for the MDS task. PETMSum combining pattern...
The majority of computational work on emotion in music concentrates on developing machine learning methodologies to build new, more accurate prediction systems, and usually relies on generic acoustic features. Relatively less effort has been put to the development and analysis of features that are particularly suited for the task. The contribution of this paper is twofold. First, the paper proposes...
Sample quality plays an important role in tracking-by-learning strategies, but the reliable online samples are hard to be obtained due to challenges of variational environments. By modeling how human visual interest actively guiding the seek of salient regions and movements in video sequences, in this paper, a compositional tracking strategy is proposed based on an integrated saliency map, which is...
Virtualization is one of the most promising ways to enhance the scalability of data centers. Individual physical machines(PMs) can be carved into multiple virtual machines(VMs) for consolidation. In fact, most data centers are still using static greedy allocation of resources to VMs, regardless of the resource characteristics of both VMs and PMs. In this paper, we address that by optimizing the placement...
This study employs cooperative learning to create an Educational Board Game Design Course. The curriculum of activities required pre-service teachers to work cooperatively in learning-groups to complete a prototype of a board game. Group discussion via an Online Interactive Platform supported the process of the participants as they carried out the curriculum of activities. A questionnaire enabled...
The traditional signal-subspace projection (SSP) method combats the problem of array manifold uncertainty to gain the robustness by means of projecting the nominal manifold vector onto the signal subspace so as to eliminate the errors lying in the noise subspace. The main contribution of this paper is to extent the SSP approach from one dimension to multi-dimension. We assume that the actual manifold...
This paper devises a transformation scheme to protect data privacy in the case that data have to be sent to the third party for the analysis purpose. Most conventional transformation schemes suffer from two limits, i.e., the algorithm dependency and the information loss. In this work, we propose a novel privacy preserving transformation scheme without these two limitations. The transformation is referred...
The Direct Sequence Spread Spectral (DSSS) communication system has been widely used in military and civilian fields because of its high processing gain, strong ant-jamming and anti-probed capacity, and low intercepted probability. In this paper, an efficient blind parameter estimating and detecting algorithm is proposed, which takes advantage of the autocorrelation property of pseudo random code...
This paper compares measures derived from linear power spectral analysis and nonlinear chaotic analysis of helicopter vibratory data obtained during different flight tests. In particular, the strange attractor behavior of the trajectory of reconstructed state vectors in phase space was examined and quantified using the correlation dimension, which provides a fractal dimension measure in regards to...
The fusion of panchromatic and multispectral satellite images is an important issue in many remote sensing applications, especially in urban area. The popular image fusion methods in remote sensing community usually distort the spectral characteristics. To reduce the spectral distortion, some image fusion techniques have been developed. This paper addresses the issue in quality assessment of fused...
This paper aims to estimate the effects of climatic change on grain production in China by doing a cross-sectional analysis based on county-level dataset with variables measuring the total output of grain production, climate, and other economic and geographical data for over 2200 counties of China in the year of 2000. A non-spatial model, using Ordinary Least Squares(OLS) approach, was firstly built...
Jitter decomposition is important for identifying root sources of jitter. The limitations of the existing methods for jitter decomposition are discussed and a new approach with a combination of fast Fourier transform and time lag correlation is proposed. The new method reduces the number of equations and improves efficiency of jitter decomposition. Simulation is performed to validate the proposed...
A complete extraction technique of SiGe HBTs is developed to extract the base and collector current noises and their correlation. Unlike conventional methods, a four-port noise de- embedding technique is used to remove the influence of extrinsic elements. From the extraction results, we found that the base current noise and collector current noise can not be modeled well using 2qIB and 2qlc, respectively...
For the first time, the temperature dependences of radio frequency (RF) metal oxide semiconductor field effect transistors' intrinsic noise currents, including the induced gate noise current (ig), channel noise current (id) and their correlation noise current, are experimentally investigated. The power spectral densities for the induced gate noise current and correlation noise current are found to...
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