A simple processing background based on Scrapy crawler framework is designed, which uses distributed scraping means to carry out objective and comprehensive evaluation of the main consumption characteristics of users ...
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Commonly used methods in biomedical engineering research is Digital signalprocessing and data analysis. Employment of digital signal filtering on electrocardiogram (ECG) and classification is according to their featu...
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ISBN:
(纸本)9781538678084
Commonly used methods in biomedical engineering research is Digital signalprocessing and data analysis. Employment of digital signal filtering on electrocardiogram (ECG) and classification is according to their features that utilizes support vector machine (SVM) in this paper. Automatic detection and classification of noises can improvise the noise containing electrocardiogram (ECG). This concept consists of three stages, namely ECG signal pre-processing, feature selection, and classification of ECG beats. To remove noise from ECG, filters are developed. Designed filters are focused on removing artefacts. Moreover, this paper contains SVM algorithm that consists of an automatic classifier to detect the five pathologies. The classifier was tested on the physioNet ECG database with an accuracy of 96.60 %.
IoT industry has come to the fore in this modern techno-frenzy age. This has caused digital data explosion and has kept the data storage industry on its toes. The paper proposes a novel blockchain-based data storage m...
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ISBN:
(纸本)9781665428644
IoT industry has come to the fore in this modern techno-frenzy age. This has caused digital data explosion and has kept the data storage industry on its toes. The paper proposes a novel blockchain-based data storage model where users contribute the storage space of their personal electronic devices to meet the growing data storage needs. The paper dives into a decentralized system design, along with an equitable compensation model for all the storage space contributing users. The decentralized framework provides a common platform for interaction between the storage space contributors and buyers. The proposed solution provides an alternative to cloud storage which relies heavily on servers.
A single cycle of an ECG signal is composed of multiple segments. The QRS segment is considered as the most important segment for accurate diagnosis in many heart related disorders and this segment should be preserved...
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ISBN:
(纸本)9781509049295
A single cycle of an ECG signal is composed of multiple segments. The QRS segment is considered as the most important segment for accurate diagnosis in many heart related disorders and this segment should be preserved against any major signal distortion during the process of compression. In this paper, a novel hybrid ECG signaldata compression technique is proposed, in which lossless compression is applied on QRS segments and lossy compression is applied on other segments, without actually implementing any wave-recognition algorithm. Experimental results have shown that with the optimal selection of threshold and aperture size, it is possible to preserve the quality of QRS segments for enhancing the diagnostic capability with the reconstructed signal while achieving higher compression efficiency at the same time.
In order to solve the needs of power dispatching business with the diversification of scenarios and upgrading of functions, the design of an integrated power dispatching platform based on multi-service support is prop...
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This paper presents a multiprocessor unit for a fast video image data pre-processing in real time application. Author made pipelined multiprocessor architecture of specialised hardware processors. This paper presents ...
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ISBN:
(纸本)7505338900
This paper presents a multiprocessor unit for a fast video image data pre-processing in real time application. Author made pipelined multiprocessor architecture of specialised hardware processors. This paper presents reconfigurable specialised hardware processor for this pipelined architecture. Universal reconfigurable processor implementation in the Xilinx FPGA.
This paper predicts sentiments of crypto currency news articles using BERT (Bidirectional Encoder Representation) model, as there is a lack of research in crypto currency price prediction using natural language proces...
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The research is aimed to present speech signal recognition and classification using the compressive sensing method to reduce the data from speech signal cross-correlation and to compare similarity and difference betwe...
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ISBN:
(纸本)9781538610381
The research is aimed to present speech signal recognition and classification using the compressive sensing method to reduce the data from speech signal cross-correlation and to compare similarity and difference between the reference speech signal (the researcher's signal) and comparative signals. The speech signal reconstruction method is based on the solution to the underdetermined linear inverse problem. The number of equations measured is less than that of data dimensions (m<signal reconstruction based on measurement of signal to noise ratio (SNR) between the reference speech signal (the researcher's speech signal), comparative speech signals and regularization values (lambda). The benefit of the research will be applied to classifying individual speech signals for security.
This paper proposes a transient stability prediction and preventive control system for power systems. Firstly, the functional framework and software module of the system are introduced. Then the transient load of the ...
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this paper discusses the network gatekeeper technology, and proposes a security domain isolation and data exchange model based on virtual machine monitor (VMM). Then we give up an implement framework of this model bas...
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ISBN:
(纸本)9781424444731
this paper discusses the network gatekeeper technology, and proposes a security domain isolation and data exchange model based on virtual machine monitor (VMM). Then we give up an implement framework of this model based on XEN. Finally, we discuss the security feature and the future appliance effect of the model.
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