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Streaming video data grows rapidly with the massive deployment of surveillance cameras, transportation monitoring and other purposes. Therefore how to deal with the increasing scale of streaming data, for example video data storage, video playing and manipulation are challenging due to the big volume of the video data. This paper presents a massive video data management system which based on Hadoop...
A new methodology based on sparse representation is proposed to detect the relevant sensors for traffic flow prediction at a given sensor. It performs remarkably better than the least square fitting and the local spatial context based methods. Some interesting phenomena have been observed in the experiments: (1) In general, hundreds of sensors distributed on the whole road network are relevant to...
This chapter describes the experimental discoveries of topological phases in three dimensions (3D). It discusses the discovery of the 3D Z2 TI state, which serves as the first topological phase of matter in 3D bulk materials. The chapter elaborates the way of measuring the 3D Z2 topological invariant by spin‐Angle‐resolved photoemission spectroscopy (ARPES). It focuses on experimental efforts in discovering...
In this paper we present a novel approach for biometric identification using electroencephalogram (EEG) signals based on features extracted with the Hilbert-Huang Transform (HHT). The instantaneous amplitude and the instantaneous frequency were computed after the HHT, and these were then used to generate the features for classification. The proposed system was evaluated using two publicly available...
In this presentation the motor function rebuilding of paralyzed limbs of the paraplegic patients caused by spinal cord injury and the hemiplegic patients after stroke and SCI is concerned. The biomedical methods and the traditional physical methods for the rehabilitation of two kinds of paralyses are reviewed. The core part is to discuss the neural and muscular signal regeneration and the limb function...
EEG signals, measuring transient brain activities, can be used as a source of biometric information with potential application in high-security person recognition scenarios. However, due to the inherent nature of these signals and the process used for their acquisition, their effective preprocessing is critical for their successful utilisation. In this paper we compare the effectiveness of different...
In this paper we present a biometric person recognition system based on EEG signals incorporating a novel strategy to find and utilize the most informative data segments using the concept of Sample Entropy. The users are presented with a stimulus that prompts a motor-imagery response. This is then measured using an array of EEG sensors. A sliding-window segmentation scheme and Wavelet Packet Decomposition...
Synthetic aperture radar (SAR) is a useful instrument to detect oil slicks on the sea surface. Generally, the algorithm for detection of oil slick in SAR images is based on the approach to distinguish the darker area compared to the surrounding area defined on the typical backscatter level. This value can calculate by scattering model using moment method and Monte-Carlo simulation for various conditions...
This paper analyzes the control principle of the variable retardation plates polarization controller theoretically, and deduces the relationship between the variable retardance and rotation axis of plate. By the simulation, it presents a new characteristic of the variable retardation plates polarization controller. This new feature is that the different retardance of the wave plate can affect the...
Amplitude-integrated electroencephalographic (aEEG), a method for continuous long-term monitoring of brain activities, is widely used for clinical needs in monitoring newborns. While the variation in aEEG signals from different individuals causes differences in the data distribution, the task to model and automatically classify aEEG signals across different individuals is challenging. In this paper,...
Amplitude-integrated electroencephalography (aEEG) has been widely used in continuous monitoring of neonatal brain function. This paper proposes an aEEG recognition method based on revised D-S Theory. The revised D-S Theory improves traditional D-S theory by introducing weight factor into the algorithm. Combining judgments with different weights can attenuate the conflict among them and get a more...
Streaming databases and other distributed, event-based systems are very useful tools for business and security applications. When event sources and event processing are distributed across multiple distinct domains, confidentiality and privacy issues emerge. These can be addressed by a number of cryptographic techniques. In this paper we consider high-performance symmetric encryption techniques. We...
This paper presents a biometric person recognition system using electroencephalogram (EEG) signals as the source of identity information. Wavelet transform is used for extracting features from raw EEG signals which are then classified using a support vector machine and a knearestneighbour classifier to recognize the individuals. A number of stimuli are explored using up to 18 subjects to generate...
In this paper, a digital pre-distortion platform is designed for linearization of wideband power amplifier with nonlinearity and memory effect. The proposed platform consists of digital signal processing (DSP), field-programmable gate array (FPGA), analog to digital converter (ADC) and digital to analog converter (DAC) which are all operating under a high speed of 400MHz. The platform covers a frequency...
The objective of this research is into detecting sea ice by using PALSAR (Phased-Array type L-band SAR) polarimetric data. It is generally difficult to detect thin sea ice area by using the methods based on the backscattering coefficient. We propose a new method utilizing scattering entropy to detect sea ice. This paper shows the results of extracting sea ice area from PALSAR fully polarimetric data...
First Person Shooter (FPS) is a popular genre in online gaming, unfortunately not everyone plays the game fairly, and this hinders the growth of the industry. The aiming robot (aimbot) is a common cheating mechanism employed in this genre, it differs from many other common online bots in that there is a human operating alongside the bot, and thus the in-game data exhibit both human and bot-like behaviour...
According to the increasing maritime trades and development of marine transportation, ship's navigation information must be provided not only to prevent an accident but also to ensure safe navigation. To get it, in general, radar and AIS are now in use, but do not integrate fully to each other. In this study, we introduce preliminary results of field experiment to merge both data in real-time. FMCW...
This study introduces a system to merge three different Sea Surface Temperature(SST) data obtained from multi-satellite sensors. SST is important variable to understand interaction between the atmosphere and ocean. In this study, merging method is filling-in according to SST accuracies which each satellite has. The sensors that produce merged SST field data are NOAA/AVHRR (National Oceanic and Atmospheric...
In determining the nature of the cable fault, the combination method of insulation resistance and conduction tests now commonly be used. Proven through long-term practice, there are some limitations and the one-sidedness of this method. For some leakage or flashover high impedance faults, in order to further determine the nature of the faults, DC voltage test must be applied on the basis of the above...
A new magnetic field measurement with fiber grating based on the polarized effect was proposed. The linear relationship between the Polarization Dependent Loss of transmission light and magnetic field in circular birefringent grating is proved. We can get the magnetic field from measuring the peak value of PDL. But the measurement performance of triangular grating is better than the uniform grating,...
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