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Smart Communications, Intelligent Algorithms and Interactive Methods

Part of the Smart Innovation, Systems and Technologies Book Series (volume 257)

Editors: Jain, Lakhmi C.; Kountchev, Roumen; Hu, Bin; Kountcheva, Roumiana

DOI: 10.1007/978-981-16-5164-9

ISBN: 978-981-16-5163-2

Publisher: Springer Nature Singapore - Springer Journals

Jan 4, 2022

1 - 10 of 38 Chapters

LitStream

Chapter 1Algorithm and Application of Artificial Intelligence in Wireless Sensor Network Coverage

Gao, Ruiyang; Chen, Tingran; Zhang, Xin; Lv, Ziliang

Pages: 1 –6

[Artificial intelligence algorithm with its powerful processing ability to solve existing problems has attracted the attention of many experts and scholars. It has been gradually combined with the infinite sensor network, and a lot of research has been done on the energy control positioning...
LitStream

Chapter 2Design of Cooperative Driving System Based on VANET

Li, Jing Tao; Li, Xiao Jiang; Li, Zhen Feng; Qiu, Run

Pages: 7 –12

[The rapid development of automobile industry has brought great convenience to people’s travel, but the increase of vehicles also brings a series of environmental problems and traffic problems, so this paper designs a cooperative driving system based on vehicular ad hoc network (VANET). As a...
LitStream

Chapter 3A Study of Intelligent Power Information Collection System Based on Distributed Architecture

Sun, Bin; Li, Haiying; Long, Ziping; Zhang, Hua; Zhao, Zhiliang; Jiang, Huaizhen; Pu, Lirong

Pages: 13 –19

[In allusion to a series of flaws in conventional power information collection system such as weak compatibility between terminals, communication blindness of collection points, low level of acquisition system integration, non-synchronous data checking and processing, and poor security protection...
LitStream

Chapter 4A Multiuser Communication Algorithm for UAV Bee Combat

Shi-ming, Li; Yuan, Yang; Yi-jie, Wu; Chao, Kang

Pages: 21 –28

[The combat of unmanned aerial vehicle (UAV) bee colony is the primary trend of information warfare in the future. Under the high-dynamic environment of air-to-air combat, severe Doppler shifts generated by relative movement of UVA reduce the communication reliability between vehicles. Therefore,...
LitStream

Chapter 5Review on Dec-POMDP Model for MARL Algorithms

Guicheng, Shen; Yang, Wang

Pages: 29 –35

[With the various application and rapid development of deep reinforcement learning in multi-agent systems, the field of multi-agent reinforcement learning (MARL) continues to emerge with various practical application problems and corresponding solutions. Since single-agent decision-making tasks...
LitStream

Chapter 6Research on AGV Correction Control Method Using QR Code Positioning

Bin, Yu; Yi, Zhang; Chao, Ye; Bin, Xing

Pages: 37 –43

[Aiming at the problem of displacement and angle deviation during the operation of automated guided vehicle (AGV), this paper uses quick response (QR) code as the guide landmark and proposes a visual-aided positioning method and AGV movement trajectory correction algorithm. First, the QR code is...
LitStream

Chapter 7Research on Multi-data Center Collaboration Technology for Multi-station Fusion

Song, Hu; Fang, Quan; Xia, Fei

Pages: 45 –51

[This paper designs an intelligent collaboration mechanism between the distributed edge data center and the core data center platform. The core data center is responsible for managing and monitoring the distributed data center and the resources of the data center, coordinating the collaborative...
LitStream

Chapter 8A Novel Method for Online Control in Equipment Parameters of Blow Molding Process

Zhu, Zhisong; Zhao, Xu; Liu, Yu

Pages: 53 –62

[A developed method for online control of equipment parameters in blow molding was proposed in this paper. It aimed to investigate the product quality fluctuation caused by the drift of parameters in the production process. The processing parameters and product quality data were got through...
LitStream

Chapter 9Research on the Optimum Ratio of Intelligent Rail Guided Vehicle and Computer Numerical Control

Li, Man; Huang, Xuewei; Wang, Jiaqi; Yue, Haiyun; Hu, Chaolang

Pages: 63 –74

[In the intelligent machining system, the ratio between the number of track-type automatic guide vehicle and the number of computer numerical control (abbreviation CNC will be used below) machine tool, as well as its scheduling plan have a decisive influence on the machining efficiency of the...
LitStream

Chapter 10An Apple Grading Method Based on Improved VGG16 Network

Kaiyan, Lin; Haoping, Zhang; Chang, Liu; Huiping, Si; Junhui, Wu; Jie, Chen

Pages: 75 –85

[Apple grading is an important link of improving the commercial value of apples. This paper proposed an improved convolutional neural network M-VGG16 based on very deep convolutional networks (VGG16) to improve the accuracy and efficiency of apple grading. A convolutional layer of the Conv3,...

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