Electroencephalography (EEG) which is the electrical signal recorded by the sensors attached on the human scalp to detect brain activities has been the emerging trends in digital signalprocessing. As compared to proc...
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ISBN:
(纸本)9781509008902
Electroencephalography (EEG) which is the electrical signal recorded by the sensors attached on the human scalp to detect brain activities has been the emerging trends in digital signalprocessing. As compared to processing other types of digital data such as speech or audio signals, EEG signalprocessing is more challenging. However, EEG signals have practically found a wide range of important applications. In this paper, we propose a design of a brain-computer interface (BCI) using EEG's P300 component to a control application. First, we use the Emotiv EPOC headset to capture the raw EEG signals. Then, we adopt a classification algorithm by invoking support vector machine along with the selected extracted features to classify the two-class EEG trials (with and without P300 component). The algorithm is developed to help people express their selection of one among four commands. The experimental results are provided evaluate the classification accuracy.
Multiple chip rates can be applied to a DS/CDMA system in order to enhance potential system capacity which otherwise is limited by spreading code family size. The technique is called by us ''chip rate division...
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ISBN:
(纸本)7505338900
Multiple chip rates can be applied to a DS/CDMA system in order to enhance potential system capacity which otherwise is limited by spreading code family size. The technique is called by us ''chip rate division multiple access'' (CrdMA). A co-channel interference method based on cross-correlation statistics is used to Study performance of the CrdMA with various spreading code families.
In this paper a new digital passband modulation hierarchy has been proposed. It has the advantage of combining line coding and digital passband modulation in one entity, hence reducing the number of stages of the tran...
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ISBN:
(纸本)9781424444731
In this paper a new digital passband modulation hierarchy has been proposed. It has the advantage of combining line coding and digital passband modulation in one entity, hence reducing the number of stages of the transmitter and the receiver. The new LCM enhances the transmitted signal with some desirable features such as favorable power spectral density, timing information, error detection and correction, hence, reducing bit synchronization complexity at the receiver, and improving the overall system performance.
There are many commercially available neural data acquisition systems, and all of them use proprietary data formats for internal communication and file storage. This can make it difficult for researchers to develop op...
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ISBN:
(纸本)9781424407910
There are many commercially available neural data acquisition systems, and all of them use proprietary data formats for internal communication and file storage. This can make it difficult for researchers to develop open, nonproprietary interface and control systems that must access neural data in real time. In this paper, we present a novel packet-based protocol for description and configuration of an array of signalprocessing instruments, software modules that run on these processors, physical and logical connections, and management of binary data streams between system elements and external devices. This protocol is being prepared as an open industry standard, along with supporting Open Source software libraries and tools.
This paper contains a method to implement a mobility aid for blind person and also can be used in automatic robots, self-propelling vehicles in automated production factories etc. Model contains signalprocessing unit...
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ISBN:
(纸本)9781467345286
This paper contains a method to implement a mobility aid for blind person and also can be used in automatic robots, self-propelling vehicles in automated production factories etc. Model contains signalprocessing unit with PIC microcontroller which receives data from Ultrasonic sensor and Temperature sensor then processed it and delivers it to the computer using serial input/output port & gives alert to the blind person using voice processor with earphone. Paper contains temperature compensation method to reduce the error in measurement of distance using ultrasonic sensors. signalprocessing unit contains PIC microcontroller which is used for interfacing between different sensors and computer. Then received data is verified using MATLAB.
Classification and recognition of activities performed by humans is an essential task when we are into an era of connected-sensors and Industry 4.0, also referred to as the Internet of Things (IoT). In this paper, we ...
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ISBN:
(纸本)9781665428644
Classification and recognition of activities performed by humans is an essential task when we are into an era of connected-sensors and Industry 4.0, also referred to as the Internet of Things (IoT). In this paper, we propose an intelligent human activity-recognition system that can automatically predict daily human activities based on data acquired by sensors, using deep learning techniques like Two-dimensional Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM). The data collected using the sensors is fed to CNN and LSTM network. The proposed model is trained and tested on the WISDM dataset. The proposed deep learning architecture has Batch Normalization (BN) and dropout layers to avoid overfitting. The proposed architecture is of low complexity and achieves high accuracy and F1 score. The final accuracy obtained using the LSTM model is up to 97.5% with 21,922 trainable parameters. The obtained results are represented with the help of a convolutional matrix and learning curves. The results are quite promising and can be utilized without any restrictions on environments or domain-structures.
The signal acquisition and processing of homogenizing pressure in high pressure homogenizer are studied. For the measuring requirements of dynamic parameters in high pressure homogenizer, pressure transmitter, the sig...
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ISBN:
(纸本)9781424455379
The signal acquisition and processing of homogenizing pressure in high pressure homogenizer are studied. For the measuring requirements of dynamic parameters in high pressure homogenizer, pressure transmitter, the signal collecting circuits about intensifier pump's motion were selected. The signal acquisition system can perform the functions such as signal collecting, recording and data recalling and so on. Moreover, the wavelet decomposition using 'sym4' at level 10 was used for de-noising of homogenizing pressure signal. The decomposed signal is selected through Birge-Massart threshold strategy and reconstructed. After collected and processed, the homogenizing pressure signal can be the foundational data for analyzing the homogenizing process and improving the crucial structure of high pressure homogenizer.
To avoid financial and life risks, early diagnose of bearing faults is particularly important, and this has made intelligent fault diagnosis popular. Intelligent fault diagnosis faces challenges such as the need for s...
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Wireless Body Area Networks (WBANs) is one of the most promising approaches for improving the quality of life, by allowing remote patient monitoring and other ubiquitous health monitoring applications. In this type of...
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ISBN:
(纸本)9781467368230
Wireless Body Area Networks (WBANs) is one of the most promising approaches for improving the quality of life, by allowing remote patient monitoring and other ubiquitous health monitoring applications. In this type of networks, traffic routing plays an important role, which collects the information from bio sensors and sends it towards the sink. Some data are very critical under certain situations and should be ensured with high end-to-end reliable transmission and lower delivery delay. This paper introduces a new Priority Queuing Algorithm for AODV routing protocol, which differentiates various types of traffic based on the critical data. The proposed protocol has been simulated using different scenarios and obtained results are analyzed using NS2 simulator.
The proceedings contain 306 papers. The topics discussed include: CloneBAS: a code clone detection method based on abstract syntax tree and Simhash;research on the a-star algorithm based on path finding;study on vibra...
ISBN:
(纸本)9798350341546
The proceedings contain 306 papers. The topics discussed include: CloneBAS: a code clone detection method based on abstract syntax tree and Simhash;research on the a-star algorithm based on path finding;study on vibration isolation characteristics of UHVDC converter valve saturable reactor;a market transaction model based on blockchain technology for multimicrogrid networks;optimization research on radar signalprocessing technology based on MTI-MTD;stock prediction using evolutionary attention-based LSTM;the reasons and improvement measures for the long time of replacing cross arm with 10 kV live;research on accurate three-dimensional modeling technology and intelligent mining in coal mines;evaluation on power equipment operation status monitoring system based on data mining;exploring deep learning-based visual localization techniques;and intelligent detection and recognition of pulley paying-off defects based on improved YOLOv5.
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