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Chapter and Conference Paper
A Framework for Surveillance Video Fast Browsing Based on Object Flags
Conventional surveillance video coding frameworks are designed to maximize the coding efficiency or to improve the adaptability. However, the problem that how to construct a flexible framework for browsing sur...
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Chapter and Conference Paper
A New Designed Baseball Bat Based on Sweet Spots
This paper describes model testing of a wooden baseball bat with the purpose of finding the peak frequencies and vibration modes and their relation to the so-called “sweet spot”, including the position of the ...
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Chapter and Conference Paper
Study on Origin and Variation of Taekwondo and the Chinese Traditional Martial Arts Based on Function Increment Variation Method
In this chapter, the deep origin of the traditional martial arts and the Taekwondo were digged out through the scientific analysis of the territory relationship and culture exchanges between ancient China and ...
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Chapter and Conference Paper
Joint Power and Spectrum Allocation for Relay Stations in Mobile Relay Networks
Mobile phones are among the most popular consumer devices with the recent development of 4G networks. The ubiquity of mobile phones have resulted in increasing capacity demands and extended more and more press...
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Chapter and Conference Paper
The Design and Implementation of Linear Array Image Acquisition System
The theory of Compressive Sensing is briefly introduced and the design of the linear array image acquisition system which is based on the Compressive Sensing is deduced. The system design includes two aspects:...
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Chapter and Conference Paper
Security Analysis of Distributed Compressive Sensing-Based Wireless Sensor Networks
Due to limited energy and physical size of the sensor nodes, the conventional security mechanisms with high computation complexity are not feasible for wireless sensor networks (WSNs). In this paper, we propos...
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Chapter and Conference Paper
Real Time Routing Optimization in ZigBee Hierarchical Networks
ZigBee hierarchical routing protocol (HRP) provides a simple but reliable topology. However, the transmission paths in HRP are always not efficient, and the links keep invariant since they were determined when...
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Chapter and Conference Paper
A New Secure Transmission for Big Data Based on Nested Sampling and Coprime Sampling
There are critical requirements for security in Big Data collection and transmission of Big Data through a communication network. A new secure transmission for Big Data based on nested sampling and co-prime sa...
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Chapter and Conference Paper
An Information Integration Approach for Classifying Coding and Non-Coding Genomic Data
Reliable methods to classify coding and non-coding transcripts from large scale genomic data will help researchers annotate novel RNA transcripts. In this manuscript we explored some of the distinguishing prop...
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Chapter and Conference Paper
Performance Evaluation of Multiuser Selection Scheme in HANs of Smart Grid
In Home Area Networks (HANs) of Smart Grid with the promising WiFi Direct technique, multiuser selection scheme is employed to reduce the effects of fading at the receiver part of the smart meter. In this pape...
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Chapter and Conference Paper
Through Wall Human Detection Using Compressed UWB Radar Data
The technology for through wall human detection with UWB radar was discussed. Due to the large amount of UWB radar data, compressive sensing theory was introduced and compressed UWB radar data can be collected...
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Chapter and Conference Paper
Simplified Hybrid Routing Protocol in Low Complexity ZigBee Network
The hierarchical routing protocol (HRP) and Z-AODV routing are two options in ZigBee networks. However, the advantages of them, such as the simplicity in HRP and the global shortest path in Z-AODV, are alterna...
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Chapter and Conference Paper
Minimal Global Hops Algorithm for Energy Balancing in ZigBee Hierarchical Network
Low power consumption is one of the most significant property and pursuing object for ZigBee networks. Because of the multi-hop mechanism in wireless communication, the nodes are always uneven used from the ov...
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Chapter and Conference Paper
On-Line Anomaly Detection in Big Data Based on Compressive Sensing
The definitions of anomaly detection and big data were presented. Due to the sampling and storage burden of anomaly detection in big data, compressive sensing theory was introduced and used in anomaly detectio...
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Chapter and Conference Paper
A Unified Probabilistic PLSR Model for Quantitative Analysis of Surface-Enhanced Raman Spectrum (SERS)
Gold Surface-enhanced Raman Scattering (Au SERS) nano-particles in combination with Raman spectroscopy have occurred as a newly sensitive, non-invasive molecular imaging technology. The multiplexing capability...
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Chapter and Conference Paper
A Two-Stage Heuristic Approach for a Type of Rotation Assignment Problem
A two-stage heuristic algorithm is proposed for solving a trainee rotation assignment problem in a local school of nursing and its training hospital. At the first stage, the model is reduced to a simplified as...
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Chapter and Conference Paper
On the Downlink Ergodic Throughput Capacity of Hybrid Wireless Networks with Massive MIMO
In this paper, the entire network model is a hybrid wireless network model in which each base station is connected to each other via a wired link. In the downlink transmission phase, a large number of antennas...
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Chapter and Conference Paper
Single-Channel Grayscale Processing Algorithm for Transmission Tissue Images Based on Heterogeneity Detection
Aiming at the problem of low contrast and unclear edge of gray image in hyperspectral transmission imaging, the single-channel grayscale processing algorithm was applied to the simulated image based on the sim...
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Chapter and Conference Paper
Analysis of the Effects of Climate Teleconnections on Precipitation in the Tianshan Mountains Using Time-Frequency Methods
Precipitation is the main sources of subsurface and surface water in the Tianshan Mountains, which play a vital role in the social and economic developments of **njiang, China. Researches showed that precipita...
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Chapter and Conference Paper
An Improving Data Stream Classification Algorithm Based on BP Neural Network
With the continuous development of science and technology, many application fields of data belong to the data stream type. Data stream classification is one of the most important analysis methods of data strea...