Real-time DV transmission on hybrid network with IEEE 1394 and ATM

2003 ◽  
Author(s):  
M. Miyashita ◽  
A. Iketani ◽  
M. Kobayashi
Keyword(s):  
Real Time ◽  
Hybrid Network ◽  
Ieee 1394

Real Time Gait based Person Authentication using Deep Hybrid Network

2021 ◽  
Author(s):  
Ashika Ramesh Kothamachu ◽  
Basabi Chakraborty
Keyword(s):  
Real Time ◽  
Hybrid Network

A Generic Framework for Bluetooth Promoted Multimedia on Demand (BlueProMoD)

2011 ◽  
pp. 160-172
Author(s):  
Panayotis Fouliras ◽  
Nikolaos Samaras
Keyword(s):  
Real Time ◽  
Value Added ◽  
End Users ◽  
Hybrid Network ◽  
Personal Area Networks ◽  
Wireless Personal Area Networks ◽  
Backbone Network ◽  
On Demand ◽  
Real Time Traffic ◽  
Generic Architecture

In recent years many technologies have converged to integrated solutions and one of the hottest topics has been the deployment of wireless personal area networks (WPANs). In this article we present a generic architecture scheme that allows voice and other real-time traffic to be carried over longer distances. The proposed scheme is a novel framework that combines a wired backbone network including Bluetooth access points (APs) with the mobile Bluetooth-enabled devices of the end users. This scheme is called Bluetooth Promoted Multimedia on Demand (BlueProMoD). BlueProMoD is a hybrid network and provides free-of-charge communication among customers, multimedia advertisements, as well as location-based and other value-added services.

scholarly journals LabVIEW Based Real-time Color Measurement System

2021 ◽  
Vol 2 (2) ◽  
pp. 330-338
Author(s):  
Abdullah BEYAZ
Keyword(s):  
Image Analysis ◽  
Real Time ◽  
Point Of View ◽  
Color Measurement ◽  
Agricultural Product ◽  
Color Analysis ◽  
Agricultural Industry ◽  
Ieee 1394 ◽  
Labview Platform ◽  
Color Channels

Colorimetry is of paramount importance to the agricultural industry. Colorimetry refers to the processing of agricultural products for consumer needs from a marketing point of view, and therefore the agricultural industry spends a lot of money and time classifying each product. In the past, agricultural professionals had to use program codes that are difficult to learn, and even the most basic image analysis for agricultural product classification required mastering different program libraries. Today, the LabVIEW platform offers a flexible, fast, easy-to-learn, and complete image analysis infrastructure with various useful modules. For this reason, in this study, a method analysis for color perception with a simple USB webcam and software developed for real-time color analysis on the LabVIEW platform is presented and its success in the basic color analysis is tried to be revealed. The basic application developed for this purpose in LabVIEW v2019 using NI Vision Development Module v19 and NI IMAQ v19 modules. The basic fact that is the LabVIEW application is the idea that LabVIEW can only be analyzed with expensive IEEE 1394, but it should be known that these analyzes can be done with USB webcams. For this purpose, the application includes a USB webcam driver that can be stacked seamlessly. USB Webcam and colorimeter measurement-based results of ƔR factors for each of RGB color channels are 1.161232, 0.506287, 0.432229; ƔG factors for each of RGB color channels are 0.519619, 1.025383, 1.201444; at last ƔB factors for each of RGB color channels are 0.600362, 0.714016, 1.413406, respectively.

On-Line Power System Analysis Based on Hybrid Network Model

2014 ◽  
Vol 484-485 ◽  
pp. 665-670
Author(s):  
Qin Xiao
Keyword(s):  
Power System ◽  
Electric Power ◽  
Real Time ◽  
Network Model ◽  
System Analysis ◽  
Hybrid Network ◽  
Time Data ◽  
System Operation ◽  
Power System Operation ◽  
Power System Analysis

Online power system analysis to electric mode-based on information that will offer a decided in real time the quality of the studies and efficiency of the power system operation precision closely associated with the power system model. Accurate and quick decision based on real-time data analysis needs battle plan deregulation of the power system in all over the world. In addition a significant expansion of electric power system in India in recent times, especially in the 2003 introduction of electricity bill, introduction of open access, electric power market, the appearance of communication through power with complex power system operation and control. Electric power network analysis in real-time data is expected to further improve the critical role of power network operation to repair the proposed law after transmission loss of tariff and share. All this forced the power system real time is accurate, but conditions analysis based on different principles. In order to meet the requirements of all, from the monitoring, commercial, reliability and stability of the Angle, attempt to have been forced to take hybrid network model in natural real-time supervisory control and data acquisition (SCADA) systems work so far a single network model of the integrated. This paper presents a network model for the theory foundation and the same is in the southern area rapidly adapt to load center (SRLDC) Bangalore and utilization of energy management system in India (EMS) real-time systems and tools. It is proved to be how to planning can online network system modeling and analysis of relatively simple in complex operational requirements. The experimental results show that the online power management strategy to adapt to can be a key tool control engineers hand in complex power system operation situations.

scholarly journals An Alertness-Adjustable Cloud/Fog IoT Solution for Timely Environmental Monitoring Based on Wildfire Risk Forecasting

Energies ◽  
2020 ◽  
Vol 13 (14) ◽  
pp. 3693
Author(s):  
Athanasios Tsipis ◽  
Asterios Papamichail ◽  
Ioannis Angelis ◽  
George Koufoudakis ◽  
Georgios Tsoumanis ◽  
...  
Keyword(s):  
Real Time ◽  
Network Architecture ◽  
Fog Computing ◽  
Fire Risk ◽  
Hybrid Network ◽  
Case Scenario ◽  
Wildfire Risk ◽  
Computing Paradigm ◽  
Risk Forecasting ◽  
Burning Index

Internet of Things (IoT) appliances, especially those realized through wireless sensor networks (WSNs), have been a dominant subject for heavy research in the environmental and agricultural sectors. To address the ever-increasing demands for real-time monitoring and sufficiently handle the growing volumes of raw data, the cloud/fog computing paradigm is deemed a highly promising solution. This paper presents a WSN-based IoT system that seamlessly integrates all aforementioned technologies, having at its core the cloud/fog hybrid network architecture. The system was intensively validated using a demo prototype in the Ionian University facilities, focusing on response time, an important metric of future smart applications. Further, the developed prototype is able to autonomously adjust its sensing behavior based on the criticality of the prevailing environmental conditions, regarding one of the most notable climate hazards, wildfires. Extensive experimentation verified its efficiency and reported on its alertness and highly conforming characteristics considering the use-case scenario of Corfu Island’s 2019 fire risk severity. In all presented cases, it is shown that through fog leveraging it is feasible to contrive significant delay reduction, with high precision and throughput, whilst controlling the energy consumption levels. Finally, a user-driven web interface is highlighted to accompany the system; it is capable of augmenting the data curation and visualization, and offering real-time wildfire risk forecasting based on Chandler’s burning index scoring.

3G-Based Specialty Vehicles Real-Time Monitoring System

2014 ◽  
Vol 513-517 ◽  
pp. 871-875
Author(s):  
Yu Feng Zhuang ◽  
Yang Yang
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Full Range ◽  
Hybrid Network ◽  
Traffic Information ◽  
Prototype System ◽  
Main Function ◽  
Real Time Monitoring ◽  
Server Side ◽  
Vehicle Terminal

At present, the wireless communications and mobile computing technology are relatively well developed. This article proposes a new special vehicle monitoring system in order to meet the needs of intelligent transportation industry. The monitoring system for special transport vehicles is designed to pass a full range of real-time monitoring to safeguard the vehicle transport of dangerous or valuable goods in transit security. The system has two main subsystems, including vehicle terminal subsystem and server-side subsystem. Wherein, the main function of the vehicle terminal subsystem is to all-round monitoring the specialty vehicles, including video, vehicle status, goods status and environment status etc. The terminal ensures the effectiveness of monitoring by using a 3G-based hybrid network access. The server-side subsystem is primarily responsible for information collection/processing/storage, providing monitoring display and publishing the WEB services which supported logistics information management systems and real-time traffic information. In practice, this article designs and implements a prototype system based on a natural gas transport fleet.

scholarly journals Prototype Design of a Ship Intelligent Integrated Platform

2020 ◽  
Author(s):  
Fuxin Wang ◽  
Hao Luo ◽  
Yuan Yu ◽  
Liyong Ma
Keyword(s):  
Real Time ◽  
Data Storage ◽  
Network Architecture ◽  
Data Communication ◽  
Sensor Data ◽  
Hybrid Network ◽  
Integrated Platform ◽  
Hadoop Distributed File System ◽  
Point To Point ◽  
Prototype Design

Recently, more and more attention has been paid to ship intelligence. However, in the sensor data acquisition network represented by the integrated ship bridge system, sensor data is collected and transmitted point to point, and the data coupling is strong, which is not conducive to the hierarchical utilization of data. To provide more effective data communication methods and flexible support to applications, intelligent integrated platform is needed by modern ship. Prototype design and practice of a ship intelligent platform is proposed, and the key technologies of the platform is discussed. The overall architecture of the platform is described. A hybrid network architecture with fieldbus, real-time ethernet and ethernet information network is introduced. And data storage architecture using NoSQL and hadoop distributed file system is described. The system can meet the real-time performance requirement of the control and information communication. An energy efficiency application based on the designed platform is developed, machine learning based method is employed to predict the heavy oil fuel consumption for ship navigation.

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