Withthe increasing of computer crime, instant emergence of new digital product, new computertechnology and computer forensics technology is promoted, developed constantly. this paper described basic information/cont...
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To complement the existing experimental paradigm of motor imagery, an active brain-computer interface (BCI) experimental paradigm based on the sequential encoding of speech imagery and motor imagery is proposed. At th...
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this study proposes a method to detect whether an essay is off-topic or not based on the degree of tangency, because of the lack of accurate and efficient algorithms for off-topic detection in domestic essay-assisted ...
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One of the important features of Social Networks (SNs) is community structure detection. Several methods have been proposed to address this problem. One of the interesting methods is based on the famous Fuzzy C-Means ...
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ISBN:
(纸本)9781467389136
One of the important features of Social Networks (SNs) is community structure detection. Several methods have been proposed to address this problem. One of the interesting methods is based on the famous Fuzzy C-Means (FCM) clustering algorithm. this method consists of three phases: spectral mapping, FCM clustering and modularity computation. Despite being very effective, this method is actually inefficient to deal with large-scale networks. A parallel implementation using GPUs is one of the feasible solutions to address this problem. Hence, this research presents a parallel implementation of FCM and modularity components of the algorithms. the implementation follows the hybrid CPU-GPU approach. We study the many factors affecting the performance speed ups, such as the number of dimensions/features and the network size.
this work proposed the development of surveillance systems to prevent bedridden patients from pressure sores. the system can notify caregivers and patients when pressure, humidity, and pH exceed its limitation. In add...
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In order to improve the science and quality of football training, a football training system based on computer vision technology is studied. Collect initial motion data through motion capture to form an action databas...
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ISBN:
(纸本)9798400708305
In order to improve the science and quality of football training, a football training system based on computer vision technology is studied. Collect initial motion data through motion capture to form an action database, modify and design the actions in the action database, obtain standard technical actions, and arrange and simulate each standard technical action through motion splicing;By using video shooting technology to obtain the image data of athletes during physical exercise, the measurement deviation in sports training is discussed through the trajectory tracking and error judgment of the motion nodes, so as to provide more efficient sports guidance and improve the movement and training level. the simulation test results show that compared with other corresponding systems, the system is outstanding in the aspects of fast response and improved control accuracy, so as to realize the optimal monitoring effect of sports training errors.
Spaceborne Radar plays an essential role in the military. In hostile situations, synthetic aperture radar (SAR) is subject to deliberate interference by people. In this paper, we introduce narrowband interference and ...
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Withthe advent of IoT and the associated variety of pervasive and context-aware applications, there is an increasing requirement to support the execution of these applications on devices with limited processing power...
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Withthe advent of IoT and the associated variety of pervasive and context-aware applications, there is an increasing requirement to support the execution of these applications on devices with limited processing power. this is a cost-intensive process as this usually requires the deployment of centralized computing infrastructure accessible via a cloud interface. We envision a distributed execution environment comprised of diverse computing resources as an alternative solution to this problem. this execution environment can be defined as a mobile cloud. However, the inherent unreliability of the mobile cloud requires developers to add reliability within the applications separately making the development process tedious. In this position paper, we present Aegis - a framework that provides a reliable and unified computing platform with built-in failure detection and repair mechanisms. Aegis draws upon the actor based execution model as well as stream processing applications to provide a reliable overlay over unreliable environments. Aegis also relives developers of the task of adding reliability mechanisms to applications separately. 1877-0509 (C) 2017 the Authors. Published by Elsevier B.V.
In this paper, we consider localization using multi-station TDOA, aiming at the invalidation of localization caused by the irrationality of the sensor distribution, proposed a new robust localization algorithm based o...
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Withthe wide application of the AFDX (Avionics Full Duplex Switched Ethernet) network, the demand for AFDX terminal system testing increases daily. However, the content of AFDX is complex, the testing-related work is...
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