Previous research in the field of statistical testing of random number sequences using Graphics processing Units (GPU) [1] has shown that this approach yields a significant increase in performance for a subset of the ...
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this paper describes a new extrinsic calibration method to estimate the extrinsic parameters of a multi layer laser scanner relative to a stereo camera. Unlike the existing methods, this method has two main advantages...
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the problem of road/obstacle separation of 3D points is revisited in this paper, in the context of driving assistance systems and dense stereovision. We propose some measures to cope with scenarios where only few road...
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High availability is a desired feature of a dependable distributed system. Replication is a well-known technique to achieve fault tolerance in distributed systems, thereby enhancing availability. We propose an approac...
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the GPU computing follows the trend of GPGPU, driven by the innovations in both hardware and programming languages made available to nongraphic programmers. Since some problems require an important time to solve or da...
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We introduce DJ# - a language that can be used to program a Peer-to-Peer network using object-oriented techniques and Join methods. the object creation primitive of DJ# has two parameters, a class name and a peer name...
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In recent years, Brain-computer interface (BCI) based on electroencephalogram (EEG) is an active topic in brain function research. BCI provides a direct communication and control channel for sending messages and instr...
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ISBN:
(纸本)9781424447138
In recent years, Brain-computer interface (BCI) based on electroencephalogram (EEG) is an active topic in brain function research. BCI provides a direct communication and control channel for sending messages and instructions from brain to external computers or other electronic devices. However, the EEG signals are very faint and often corrupted by noises such as power line noise, EMG, EOG etc.. EEG signal acquisition is very critical for the BCI system. In the paper, a circuit for EEG signal acquisition is designed. the circuit module is mainly composed of protection circuit, instrumentation amplifier, common mode rejection (CMR) circuit, gain adjustable amplifiers and filters. Finally, a BCI system based on SSVEP sets up by this hardware circuit's platform. the experimental results show that the circuit is effective with good amplification ability and high CMR, and it is very suitable for the BCI system.
Enabling efficient retrieval and re-usage of digital documents is a major challenge as many documents on the Internet and on Intranets are poorly described with metadata. Manual generation of quality metadata requires...
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In image recognition, principal component analysis (PCA) and many of its variants are widely used for simplicity and good results. there are some well known algorithms of this type: two dimensional PCA, two directiona...
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Detecting the parts of a vehicle represents a topic of major interest for computer vision applications, especially for precrash systems. this paper proposes an artificial vision based technique that identifies the pil...
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