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Synchrophasors are the state-of-the-art measuring sensors that sense voltage, current, or frequency with high data rate. This paper presents an approach to analyze the streaming smart-grid data generated by synchrophasors. A novel unit-circle representation is used to visualize the real-time phasor data. A Density based clustering (DBSCAN) method is proposed to cluster the phasor data to detect bad-data...
Web databases contain a huge amount of structured data which are easily obtained via their query interfaces only. The query results are presented in dynamically generated web pages, usually in the form of data records, for human use. The automatical web data extraction is critical in web integration. A number of approaches have been proposed. The early work are most based on the source code or the...
In speech processing systems, the performance of the Voice Activity Detector (VAD) is a bottleneck to the whole system. Traditional VADs are solely based on acoustic features. Additional modality in form of visual information is used to make robust VADs. In this paper, we propose a multimodal VAD based on decision fusion between two modalities. Visual VAD (VVAD) decision vectors are interpolated so...
The research of a determining system of flow image was made, which aimed at tracer particle image obtained by experiment, using digital image processing and analysis, pattern recognition and artificial intelligence. Qualitative and quantitative analysis was used on flow field of torque converter with this system. According to the characteristic of experiment, identifying and tracking the trail of...
The rapid development of Web 2.0 bring the flourish of web reviews. Web reviews are usually released in form of structured records. As the important information source for many popular applications(e.g. monitoring and analysis of public opinion), review records need to be extracted accurately from web pages. To the best of our knowledge, little work in literatures has systemically investigated this...
Interarea oscillatory modes pose a threat to power system stability. An algorithm is presented for the identification and analysis of such modes from high resolution phasor measurement data. The process outlined includes data collection, conditioning, extraction of the primary oscillatory frequency, and determination of participating areas of the system. Additionally a visualization methodology is...
This paper presents a visual cortex inspired method for corner and vertex detection. Endstopped cells in cortical area VI, which combine outputs of complex cells tuned to different orientations, serve to detect line and edge crossings (junctions) and points with a large curvature. This property is used for corner and vertex detection in this paper. We utilize the endstopped neurons model of Dobbins,...
The exponential growth of Web images has created a compelling need for innovative methods to retrieve and manage them. Automatic image annotation is an effective way for resolving this problem. In this paper, we propose a novel system that automatically annotates images by semantic corpus which is constructed by mining Web image data. It includes three parts: 1) constructing the semantic annotation...
This paper studied cross-modal stochastic resonance between auditory pathway and somatosensory pathway. We used peg-board to test the fine-motor performance of the hand under different auditory noise. The performance was a U-shape function of the intensity of different levels of auditory noise which was a typical characteristic of stochastic resonance. Optimal auditory noise can largely improve the...
The brain evoked potentials (BEP) are related directly to series of diseases and physical states. It is helpful to prevent and diagnose the brain diseases by recognizing the evoked potential. In this paper, we use the traditional average method and the wavelet transformation technology to wipe off the noise and extract the feature for the instantaneous visual evoked potential (VEP) at first. Then...
This paper presents a similarity match method based on global image and local sub-image using the SIFT features of digital images, and applies our algorithm to Content-Based Image Retrieval. In order to make the SIFT-based image retrieval results better, the most fundamental improvement comes in two areas. One is the introduction of the distance between the matched keypoints, and the shorter the distance...
Salient regions extraction plays an important role in image analysis and processing, and it is widely used in image compression, coding, content-based image retrieve and so on. The use of salient regions can improve the efficiency of image processing and reduce the computational complexity. An approach for salient regions extraction in natural image is proposed in this paper. By analyzing the phase...
This paper presents a novel method for highlight extraction in sports video, which fuses multi-modal features including audio and visual. At first, we detect slow-motion replay based on logo, and then detect audience cheers based on pitch frequency and short-time energy. In the next step, we fuse audio-visual features to detect highlight events through using a special "and" (otimes) operation...
In shot boundary detection, the key technology is to compute the visual content discontinuity values between consecutive video frames. In this paper, a unified framework is proposed to detect the shot boundaries and extract the keyframes of a shot. Firstly, the scale invariant feature transform (SIFT) is adopted to compute the visual content discontinuity values. Then a new method, which is called...
A brain-computer interface (BCI) provides the possibility to translate brain neural activity patterns into control commands without user's movement. The brain activity is most commonly measured non-invasively via standard electroencephalography (EEG), i.e., with electrodes placed on the surface of the scalp. In this article, we evaluate a BCI system based on steady-state visual evoked potentials (SSVEPs)...
Information extraction from Web sites is nowadays a relevant problem, usually performed by software modules called wrappers. Introduced the relevant information extraction technology. A combination of HTML pages to extract information of the theme and extract the contents. First of all, to remove noise combination of visual block, the vision-based DOM tree denoising methods to improve the efficiency...
In this paper we propose an approach that utilizes visual features and conventional text-based pseudo-relevance feedback (PRF) to improve the results of semantic-theme-based video retrieval. Our visual reranking method is based on an Average Item Distance (AID) score. AID-based visual reranking is designed to improve the suitability of items at the top of the initial results list, i.e., those feedback...
Spread-spectrum steganographic (SSIS) method offers high payload and robustness to additive noise in transmission channel but the visual quality of image is distorted and exact data recovery may not be satisfied. DCT-domain message hiding based steganographic techniques provide high image imperceptibility and exact data recovery in absence of noise. In this paper, we combined the best of SSIS and...
This paper deals with the design, realization and test of a very-high-resolution and totally integrated impedance-characterization system-on-chip fabricated in standard CMOS technology. The chip architecture is based on a lock-in technique, using the scheme reported in the given figure. It comprises a high-sensitivity input current-to-voltage converter, an analog multiplier and a high-resolution (20b)...
This paper describes pseudo-differential signaling schemes for DRAM interfaces that minimize the skew between data and suppress common-mode noise. The chip is implemented in a 0.13 mum process and occupies 2.7times2.3 mm2 and the active area is 1.0times0.3 mm2.
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