Asynchronous communication model based on linear logic

1993 ◽  
pp. 331-336 ◽  
Author(s):  
Naoki Kobayashi ◽  
Akinori Yonezawa
Keyword(s):  
Linear Logic ◽  
Asynchronous Communication ◽  
Communication Model ◽  
Model Based

Asynchronous communication model based on linear logic

1995 ◽  
Vol 7 (2) ◽  
pp. 113-149 ◽  
Author(s):  
Naoki Kobayashi ◽  
Akinori Yonezawa
Keyword(s):  
Linear Logic ◽  
Asynchronous Communication ◽  
Communication Model ◽  
Model Based

Research on Network Communication Model of Intelligent Ship Handling Simulator

2011 ◽  
Vol 97-98 ◽  
pp. 787-793 ◽  
Author(s):  
Shen Hua Yang ◽  
Guo Quan Chen ◽  
Xing Hua Wang ◽  
Yue Bin Yang
Keyword(s):  
Mathematical Model ◽  
Degrees Of Freedom ◽  
Communication Process ◽  
Network Communication ◽  
Communication Model ◽  
Test Results ◽  
Six Degrees Of Freedom ◽  
Model Based ◽  
Hydraulic Servo ◽  
Ship Handling

Due to the target ship in the traditional ship handling simulator have not the ability to give way to other ships automatically to avoid collision, this paper put forward a new idea that bringing the hydraulic servo platform, six degrees of freedom ship mathematical model, the actual traffic flow, researching achievement of automatic anti-collision in research of the new pattern ship handling simulator, and successfully develop the Intelligent Ship Handling Simulator(ISHS for short). The paper focuse on the research on the network communication model of ISHS. We took the entire simulator system as three relatively independent networks, proposed a framework of communication network that combined IOCP model based on TCP with blocking model based on UDP, and gave the communication process and protocols of system. Test results indicate that this is an effective way to improve the ownship capacity of ship handling simulator and meet the need of multi-ownship configuration of desktop system of ship handling simulator.

scholarly journals Experimental Validation of Gaussian Process-Based Air-to-Ground Communication Quality Prediction in Urban Environments

Sensors ◽  
2019 ◽  
Vol 19 (14) ◽  
pp. 3221 ◽  
Author(s):  
Pawel Ladosz ◽  
Jongyun Kim ◽  
Hyondong Oh ◽  
Wen-Hua Chen
Keyword(s):  
Gaussian Process ◽  
Urban Environment ◽  
Urban Environments ◽  
World City ◽  
Model Parameters ◽  
Communication Model ◽  
Channel Prediction ◽  
Model Based ◽  
Communication Signal ◽  
Prediction Approach

This paper presents a detailed experimental assessment of Gaussian Process (GP) regression for air-to-ground communication channel prediction for relay missions in urban environment. Considering restrictions from outdoor urban flight experiments, a way to simulate complex urban environments at an indoor room scale is introduced. Since water significantly absorbs wireless communication signal, water containers are utilized to replace buildings in a real-world city. To evaluate the performance of the GP-based channel prediction approach, several indoor experiments in an artificial urban environment were conducted. The performance of the GP-based and empirical model-based prediction methods for a relay mission was evaluated by measuring and comparing the communication signal strength at the optimal relay position obtained from each method. The GP-based prediction approach shows an advantage over the model-based one as it provides a reasonable performance without a need for a priori information of the environment (e.g., 3D map of the city and communication model parameters) in dynamic urban environments.

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