The Design and Analysis on Communication Physical Layer of High-Speed Inter-Missile Networking

2011 ◽  
Vol 186 ◽  
pp. 332-336
Author(s):  
Yong Qi ◽  
Qian Mu Li ◽  
Xiang He Wei ◽  
Jie Yin
Keyword(s):  
Communication Network ◽  
Significant Role ◽  
High Speed ◽  
Physical Layer ◽  
Data Link ◽  
Control Center ◽  
Exchange Information ◽  
Single Data ◽  
And Control

Missile as a kind of weapon which plays a significant role in tactical strike, strategic strike and strategic deterrent, has been at the top position of the development of weapon in all country. This paper faces to the high-speed inter-missile networking, and design the deployment of the physical layer. All the missiles within the range of node running in the air automatically form a temporarily communication network, and any missile can communicate in the range of a node. When the distance between two missiles is more than the range of signal node, the message is relayed by neighbor nodes between them. Missiles can relay with satellite by configuring the satellite gateway, and send back to missile base and control center. The experiments show that the design in this paper improve the coverage of a single data link, which make the missiles efficient exchange information in network and lay a technique foundation for cooperation between missiles.

scholarly journals Link State Machine of PCI Express

2020 ◽  
Vol 9 (4) ◽  
pp. 1371-1372
Keyword(s):  
High Speed ◽  
Data Transfer ◽  
Physical Layer ◽  
State Machine ◽  
Data Link ◽  
Pci Express ◽  
Hard Drives ◽  
Link State ◽  
The Common ◽  
Communication Path

PCI Express is a high-speed serial computer expansion bus standard with advance error reporting technology. It is the common motherboard interface for personal computers' graphics cards, hard drives, SSDs, Wi-Fi and Ethernet hardware connections. A link in PCIe is the communication path between transmitter and receiver. PCIe operates in all transaction, data link and physical layer. The link bring up in physical layer is essential for the link state machine to proceed further into data transfer state. This paper analyses the Link training and status state machine for the Detect, Polling, Configuration and Recovery states. The state analysis is simulated using the TS1 and TS2 packets transfer between Root Complex and End Point.

Design and control of a high-speed direct-drive manipulator

1989 ◽  
Vol 27 (3) ◽  
pp. 375-394 ◽  
Author(s):  
K. YOUCEF-TOUMI ◽  
A. T. Y. KUO
Keyword(s):  
High Speed ◽  
Direct Drive ◽  
And Control

Effect of Slice Priority for admission control in 5G Wireless Networks: A comparison study for two Fuzzy-based systems considering Software-Defined-Networks

2020 ◽  
Vol 26 (3) ◽  
pp. 169-183
Author(s):  
Phudit Ampririt ◽  
Yi Liu ◽  
Makoto Ikeda ◽  
Keita Matsuo ◽  
Leonard Barolli ◽  
...  
Keyword(s):  
Wireless Networks ◽  
Admission Control ◽  
High Speed ◽  
Additional Parameter ◽  
Fifth Generation ◽  
Efficient Management ◽  
Grade Of Service ◽  
User Request ◽  
Control Decision ◽  
And Control

The Fifth Generation (5G) networks are expected to be flexible to satisfy demands of high-quality services such as high speed, low latencies and enhanced reliability from customers. Also, the rapidly increasing amount of user devices and high user’s requests becomes a problem. Thus, the Software-Defined Network (SDN) will be the key function for efficient management and control. To deal with these problems, we propose a Fuzzy-based SDN approach. This paper presents and compares two Fuzzy-based Systems for Admission Control (FBSAC) in 5G wireless networks: FBSAC1 and FBSAC2. The FBSAC1 considers for admission control decision three parameters: Grade of Service (GS), User Request Delay Time (URDT) and Network Slice Size (NSS). In FBSAC2, we consider as an additional parameter the Slice Priority (SP). So, FBSAC2 has four input parameters. The simulation results show that the FBSAC2 is more complex than FBSAC1, but it has a better performance for admission control.

Modeling human-like longitudinal driver model for intelligent vehicles based on reinforcement learning

2021 ◽  
pp. 095440702098357
Author(s):  
Ju Xie ◽  
Xing Xu ◽  
Feng Wang ◽  
Haobin Jiang
Keyword(s):  
Reinforcement Learning ◽  
Comprehensive Evaluation ◽  
Path Following ◽  
Intelligent Vehicles ◽  
Driver Model ◽  
Control Center ◽  
Training Performance ◽  
Learning Agents ◽  
System A ◽  
And Control

The driver model is the decision-making and control center of intelligent vehicle. In order to improve the adaptability of intelligent vehicles under complex driving conditions, and simulate the manipulation characteristics of the skilled driver under the driver-vehicle-road closed-loop system, a kind of human-like longitudinal driver model for intelligent vehicles based on reinforcement learning is proposed. This paper builds the lateral driver model for intelligent vehicles based on optimal preview control theory. Then, the control correction link of longitudinal driver model is established to calculate the throttle opening or brake pedal travel for the desired longitudinal acceleration. Moreover, the reinforcement learning agents for longitudinal driver model is parallel trained by comprehensive evaluation index and skilled driver data. Lastly, training performance and scenarios verification between the simulation experiment and the real car test are performed to verify the effectiveness of the reinforcement learning based longitudinal driver model. The results show that the proposed human-like longitudinal driver model based on reinforcement learning can help intelligent vehicles effectively imitate the speed control behavior of the skilled driver in various path-following scenarios.

scholarly journals Implementation of conventional communication system in deep learning

2017 ◽  
Vol 7 (1.1) ◽  
pp. 696
Author(s):  
Satyanarayana P ◽  
Charishma Devi. V ◽  
Sowjanya P ◽  
Satish Babu ◽  
N Syam Kumar ◽  
...  
Keyword(s):  
Machine Learning ◽  
Computer Vision ◽  
Communication Network ◽  
Deep Learning ◽  
Communication System ◽  
Communication Systems ◽  
Physical Layer ◽  
Learning Capacity ◽  
Constrained Learning ◽  
Complex Channel

Machine learning (ML) has been broadly connected to the upper layers of communication systems for different purposes, for example, arrangement of cognitive radio and communication network. Nevertheless, its application to the physical layer is hindered by complex channel conditions and constrained learning capacity of regular ML algorithms. Deep learning (DL) has been as of late connected for some fields, for example, computer vision and normal dialect preparing, given its expressive limit and advantageous enhancement ability. This paper describes about a novel use of DL for the physical layer. By deciphering a communication system as an auto encoder, we build up an essential better approach to consider communication system outline as a conclusion to-end reproduction undertaking that tries to together enhance transmitter and receiver in a solitary procedure. This DL based technique demonstrates promising execution change than traditional communication system.  

Daylighting Strategies in Iranian Vernacular Residential Buildings in Hot and Dry Climate

2015 ◽  
Vol 747 ◽  
pp. 329-332
Author(s):  
Elham Maghsoudi Nia ◽  
Titi Hajihasani ◽  
Mohd Yazid Mohd Yunos ◽  
Nordin Abdul Rahman
Keyword(s):  
Energy Efficiency ◽  
Significant Role ◽  
Residential Buildings ◽  
Design Phase ◽  
Review Of Literature ◽  
Shading Devices ◽  
And Control

Daylighting strategies and control of it, plays a significant role in energy efficiency and provision of visual comforts in buildings. This study conducted a review of literature and observation in a hot and dry region of Iran in order to investigate daylighting strategies and control of it by shading devices in the vernacular residential buildings. The results show thatdaylight in vernacular rooms was provided through door, window, Rozan, Moshabak, and Goljam. These components were equipped with thevertical and horizontalshading devices such as Orsi, Sarsayeh, Tabeshband and Kharakpoushto control the sunlight. The vernacular lighting strategy was in response to the energy efficiency and provided visual comfort.The vernacular concepts and schemes still can be adopted and reused by architects and developers. The study recommends appropriate daylight schemes and shading devices in design phase to achieve energy efficiency in new residential buildings.

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