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2017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC)
In recent years competition among retailers has led to intense competition among supply chains. The rise of the Internet of Things provides a basis for retail enterprises to have detailed knowledge of their supply chain and hence to enhance its management. Using the Internet of Things, retail enterprises are able to increase the quality of their supply chain management, so as to offer a more intelligent...
The Internet of things (IoT) has been widely recognized by governments and industry because of its huge application prospect. And more and more attention has been paid to the development of E-commerce. This paper mainly from the network technology and E-commerce perspective, through the technology of IoT in the application of E-commerce analysis, to explore how networking technology and E-commerce...
Antiviral drugs are particularly critical for control in the early stage of Pandemic Influenza. When the drug quantity is enough, the protective strategies have the prior purposes of population coverage and social balance for underinsured populations. But when the drug quantity is limited, the purpose is transferred to disease spread reduction. From the network perspective, the existing strategies...
With the repaid urbanization process, the scattered existence of urban construction land and the over use of urban construction land restrict the healthy development of the city. The remote sensing monitoring of urban construction land can help to monitor the layout of urban construction and realize the meticulous management of urban construction land. Based on the Worldview-2 high resolution remote...
Fruit industry occupies a pivotal position in agricultural production, unsalable fruit is a major issue related to people's livelihood. The research puts forward the construction of e-commerce service platform based on the analysis of the sales status of local fruit. The platform uses the sensor technology to achieve the fruit tree growth environment and the whole process of growth of technical guidance...
We introduce a new covariance descriptor combining object visual (color, gradient, depth, etc.) and geometric information (3D coordinates, normal vectors, Gaussian curvature, etc.) for mobile robot with RGB-D camera to deal with point cloud data. The improved mismatching correction algorithm is applied in the feature point mismatching correction of 3D point cloud, and then this correction algorithm...
Wireless body area networks (WBANs) have risen great concern among the society in the fields such as health care and disease control and prevention. However, the radio frequency radiation produced by frequent communication and utilization of nodes leads to temperature rise, which does great harm to human bodies. For that reason, the thermal-aware technology is of great value in research, which also...
In order to adapt to the characteristics of high mobility, low density in Internet of Things, this paper proposes a novel P2P service discovery algorithm based on Markov. The Markov is used to achieve the prediction of the meeting time interval between any two nodes, and to construct a two-stage prediction model of meeting time interval. This paper uses the model to improve the Spay and Wait routing...
Emerging neural network accelerators are often implemented as many-core chips and rely on a network-on-chip to handle the huge amount of inter-neuron traffic. The wellknown mesh and tree are the most popular topologies in prior many-core neural network accelerator designs. However, these conventional topologies suffer from high diameter, low bisection bandwidth, and poor collective communication support...
The analysis and feature extraction of surface electromyography signal (sEMG) are important in the clinical diagnosis of human function state and patients rehabilitation. The principle of rehabilitation training and implementation process is introduced in the paper. The hardware of the control system and the mode of training and the spectacle of virtual reality are designed. while the feature extraction...
Image matting techniques are a key step of image processing or video editing, which is widely used nowadays. So, it has a highly demanding on processing speed. Since it usually takes a long time to process images using existing image matting algorithms, especially in high-resolution images or videos, this paper proposes a state-of-art image matting speed-up method to solve the slow-processing problem...
Since sensor nodes have limited energy resources, prolonging network lifetime and improving capability are essential elements in energy-efficient Wireless Sensor Networks (WSNs). Most existing approaches consider the residual energy of a single node when electing a cluster head (CH), omitting other factors associated with the node, thus, this paper proposes a new scheme energy-based clustering model...
Based on the "triangular structure" and "internal evolution" evolution mechanism, an adjustable power-law network model with high clustering coefficients is presented. This model has the same characteristics as the standard scale-free networks with the power-law degree distribution, but it has the high clustering. Heterogeneity public goods game is studied on this network model...
Informationization has entered the era of big data; the existing information platform is difficult to assume the task of information gathering and analysis. For this reason, we build an information system for social institutions and civil sector based on virtual cloud platform. With the secondary development based on browser/server architecture, typical subsystems are developed, such as traditional...
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