scholarly journals Wireless local data transmission network through LED lighting compatible with IEEE 802.11 protocol communication systems

2019 ◽  
Vol 1236 ◽  
pp. 012085 ◽  
Author(s):  
O A Kozyreva ◽  
I S Polukhin ◽  
D S Shiryaev ◽  
S A Shcheglov ◽  
A I Borodkin ◽  
...  
2013 ◽  
Vol 341-342 ◽  
pp. 773-776
Author(s):  
Wen Dong ◽  
Chong Xin Liu

The paper propose a design of the local data transmission between human body physiological parameters acquisition terminal and local intelligent monitoring terminal based on the wireless transmission technique of Zigbee and Bluetooth. In order to realize the remote transmission between Local medical monitoring terminal and remote intelligent monitoring terminal, the paper give network solutions for distal doctors to provide remote treatment. The program of monitoring terminal introduces the data processing mechanism Handler and class AsyncTask to ensure the reliability and accuracy of the data, and this can also reduce the complexity of algorithm.


2014 ◽  
Vol 977 ◽  
pp. 330-333
Author(s):  
Qi Lin Hao ◽  
Ping Xian Yang ◽  
Ming Jie Wang ◽  
Rui Ma

In this paper, in order to achieve real-time remote monitoring of fire site, we designed a intelligent remote fire monitoring system based on ZigBee network and GPRS network. This system, used ZigBee and sensor to build data acquisition and short distance transmission network and combined with GPRS wireless data transmission and SMS alarm ,cooperates with the server and PC to build a remote monitoring scheme based on GRPS.


2015 ◽  
Vol 12 (4) ◽  
pp. 599-604 ◽  
Author(s):  
S. E. Alavi ◽  
I. S. Amiri ◽  
A. S. M. Supa'at ◽  
S. M. Idrus

Author(s):  
С.Р. РОМАНОВ

Рассмотрен принцип управления сетью передачи данных (СПД)с помощью искусственной нейронной сети. Предложена концепция проведения вычислений при решении задачи оптимальной маршрутизации трафика данных. Приведен алгоритм управления сетью СПД на базе нейронной сети Хэмминга. The principle of data transmission network control using an artificial neural network is considered. The concept of carrying out calculations when solving the problem of optimal routing of data traffic is proposed. The algorithm for controlling the data transmission network based on the Hamming neural network is presented.


1988 ◽  
Vol 25 (A) ◽  
pp. 237-256
Author(s):  
J. Keilson ◽  
M. Zachmann

The matrix-geometric results of M. Neuts are extended to ergodic row-continuous bivariate Markov processes [J(t), N(t)] on state space B = {(j, n)} for which: (a) there is a boundary level N for N(t) associated with finite buffer capacity; (b) transition rates to adjacent rows and columns are independent of row level n in the interior of B. Such processes are of interest in the modelling of queue-length for voice-data transmission in communication systems. One finds that the ergodic distribution consists of two decaying components of matrix-geometric form, the second induced by the finite buffer capacity. The results are obtained via Green's function methods and compensation. Passage-time distributions for the two boundary problems are also made available algorithmically.


Expansion of internet connectivity and its usage globally has increased various demands of providing security for the data transmission. Telemedicine is a modern way of medical care that can be extended to any remote place across the globe. This medical care practice is a result of the deployment of communication systems and information technology into healthcare system. With this technology the diagnosed data can be shared with physician and take his consultation remarks and also physicians can access to diagnostic archive and share for medical practice and learning. However, this exchange of information is confined with several risks of data theft when they are shared in open networks and hence they are to be protected with high security algorithms. This paper provides a high capacitive security algorithm for protecting the images with hidden confidential information. The approach provides a two-way security by encrypting the clinical information initially and embedding it imperceptibly in the concerned image so that the user on other can obtain both the visual and text data at same instance


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