WebRTC Data Channel Establishment Protocol

2021 ◽  
Author(s):  
R. Jesup ◽  
S. Loreto ◽  
M. Tüxen
Keyword(s):  
Author(s):  
V. P. Koryachko ◽  
◽  
A. P. Shibanov ◽  
X. L. Fam ◽  
◽  
...  

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Muhammad Waqar ◽  
Geunyong Bak ◽  
Junhyeong Kwon ◽  
Sanghyeon Baeg
Keyword(s):  

2013 ◽  
Vol 364 ◽  
pp. 419-423 ◽  
Author(s):  
Sheng Bo Qi ◽  
Meng Zhang ◽  
Zhen Hao Wang

The tidal current energy generation system, which works underwater and is interfered by electrical transmission during the process of data communication, has field update requirements but cannot directly use In-System Programming (ISP) to update, so a remote multi-processor updating system is developed based on ISP and CAN bus. This system consists of a shore station host computer, master controller and the slaves. The host computer transmits the HEX file to the master controller via CAN bus, and the master controller updates the appointed slave by ISP. This paper studies retransmission mechanism and ISP process. The system avoids failed update caused by data channel interference through separating the HEX file transmission and the ISP process.


2018 ◽  
Vol 10 (8) ◽  
pp. 1288 ◽  
Author(s):  
Filomena Romano ◽  
Domenico Cimini ◽  
Angela Cersosimo ◽  
Francesco Di Paola ◽  
Donatello Gallucci ◽  
...  

The Advanced Model for the Estimation of Surface Solar Irradiance (AMESIS) was developed at the Institute of Methodologies for Environmental Analysis of the National Research Council of Italy (IMAA-CNR) to derive surface solar irradiance from SEVIRI radiometer on board the MSG geostationary satellite. The operational version of AMESIS has been running continuously at IMAA-CNR over all of Italy since 2017 in support to the monitoring of photovoltaic plants. The AMESIS operative model provides two different estimations of the surface solar irradiance: one is obtained considering only the low-resolution channels (SSI_VIS), while the other also takes into account the high-resolution HRV channel (SSI_HRV). This paper shows the difference between these two products against simultaneous ground-based observations from a network of 63 pyranometers for different sky conditions (clear, overcast and partially cloudy). Comparable statistical scores have been obtained for both AMESIS products in clear and cloud situation. In terms of bias and correlation coefficient over partially cloudy sky, better performances are found for SSI_HRV (0.34 W/m2 and 0.995, respectively) than SSI_VIS (−33.69 W/m2 and 0.862) at the expense of the greater run-time necessary to process HRV data channel.


2013 ◽  
Vol 2 (2) ◽  
pp. 109-114
Author(s):  
Yun Sub Choi ◽  
Sang-Wook Hwang ◽  
Sang-Rae Yeo ◽  
Chansik Park ◽  
Sung-Hoon Yang ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document