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Chapter and Conference Paper
Optimal Scheduling and Benefit Analysis of Solid Heat Storage Devices in Cold Regions
On the basis of analyzing the characteristics of wind power in winter heating period and considering the critical state of wind power integration, this paper rationalized the energy load, decoupled the energy ...
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Chapter and Conference Paper
A Reliable Data Transmission Protocol Based on Network Coding for WSNs
Nowadays, wireless Sensor Networks (WSN) technology has been applied in more and more fields, such as medical, military, environmental protection, and so on. WSNs increase the efficiency of people’s access to ...
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Chapter and Conference Paper
Research and Implementation of Fuzzy Control Method of UAV Formation with Ad Hoc Network
In order to solve the communication problems between clusters as well as achieve the goal of the high-precision flying of UAV clusters, a UAV formation realization using ad hoc network and fuzzy control techno...
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Chapter and Conference Paper
Calculating the Truck’s Box Volume with a Single Image Under the Circle Projection and Vanishing Points Constraint
To concise the truck’s box volume measuring system, some techniques such as calculation of camera intrinsic parameters, estimation of truck’s position and orientation, and calculation the vertex coordinates on...
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Chapter and Conference Paper
Multi-local Feature Target Detection Method Based on Deep Neural Network
In application of video surveillance system, the algorithm object detection is affected by occlusion easily, and the results on small object are not satisfying. This paper develops a multi-local feature obje...
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Chapter and Conference Paper
Virtual Reality Projection Alignment for Automatic Measuring Truck’s Box Volume in Single Image
A virtual reality projection alignment-based volume measurement using single image is presented to reduce the cost of truck’s box volume measuring system. This paper uses the ASM algorithm to establish a virtu...
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Chapter and Conference Paper
An Automatic Detection Method for Morse Signal Based on Machine Learning
In this paper, an automatic detection for time-frequency map of Morse signal is proposed base on machine learning. Firstly, a preprocessing method based on energy accumulation is proposed, and the signal regio...
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Chapter and Conference Paper
Extraction of EEG Components Based on Time - Frequency Blind Source Separation
In order to extract EEG characteristic waves better, this paper adopts the method of combining wavelet transform with time-frequency blind source separation based on smooth pseudo Wigner-Ville distribution. Fi...