Real-time Acquisition of the Distributed Data by using an Intelligent System

被引:0
作者
Gaitan, N. C. [1 ]
机构
[1] Stefan Cel Mare Univ Suceava, Dept Comp, Fac Elect Engn & Comp Sci, Suceava, Romania
关键词
ARCHITECTURE; LEVEL;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
N. C. Gaitan. Real-time Acquisition of the Distributed Data by using an Intelligent System // Electronics and Electrical Engineering. - Kaunas: Technologija, 2010. - No. 8(104). - P. 13-18. For real time applications, the specific time requirements represent the main constraints, and their controlling is an essential factor in order to establish the quality of the accomplished services. The time constraints might be found within more application areas, such as the automatization of industrial equipments, the embedded systems, the control of vehicles, monitoring the nuclear devices, supervising the scientific experiments, robotics, conditioning of audio and video multimedia data flows, monitoring the surgical interventions, as well as supervising the stock exchange operations. Within this paper, the hardware and software architecture of an intelligent system for real time acquisitions of the distributed data is presented. This intelligent system is represented by means of an embedded device, performed with a STR710FZ2 microcontroller and a RTX real time kernel. Ill. 3, bibl. 18 (in English; abstracts in English, Russian and Lithuanian).
引用
收藏
页码:13 / 18
页数:6
相关论文
共 50 条
[31]   Intelligent Real-Time IoT Traffic Steering in 5G Edge Networks [J].
Math, Sa ;
Tam, Prohim ;
Kim, Seokhoon .
CMC-COMPUTERS MATERIALS & CONTINUA, 2021, 67 (03) :3433-3450
[32]   Design of intelligent acquisition system for moving object trajectory data under cloud computing [J].
Zhang, Yang ;
Asthana, Abhinav ;
Asthana, Sudeep ;
Khanna, Shaweta ;
Mihai, Ioan-Cosmin .
JOURNAL OF INTELLIGENT SYSTEMS, 2021, 30 (01) :763-773
[33]   New Automated Guided Vehicle System Using Real-Time Holonic Scheduling for Warehouse Picking [J].
Yoshitake, Hiroshi ;
Kamoshida, Ryota ;
Nagashima, Yoshikazu .
IEEE ROBOTICS AND AUTOMATION LETTERS, 2019, 4 (02) :1045-1052
[34]   Dynamic Reconfiguration of Threads in Real-Time System Working on Precision Time Regime [J].
Pulka, Andrzej ;
Milik, Adam .
INTERNATIONAL CONFERENCE ON SIGNALS AND ELECTRONIC SYSTEMS (ICSES '10): CONFERENCE PROCEEDINGS, 2010, :339-342
[35]   Real-Time Implementation of a Multidomain Feature Fusion Model Using Inherently Available Large Sensor Data [J].
Hazarika, Anil ;
Barman, Pranjal ;
Talukdar, Champak ;
Dutta, Lachit ;
Subasi, Abdulhamit ;
Bhuyan, Manabendra .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2019, 15 (12) :6231-6239
[36]   Validating the Real-Time Performance of Distributed Energy Resources Participating on Primary Frequency Reserves [J].
Karhula, Niko ;
Sierla, Seppo ;
Vyatkin, Valeriy .
ENERGIES, 2021, 14 (21)
[37]   A Distributed IoT Infrastructure to Test and Deploy Real-Time Demand Response in Smart Grids [J].
Barbierato, Luca ;
Estebsari, Abouzar ;
Pons, Enrico ;
Pau, Marco ;
Salassa, Fabio ;
Ghirardi, Marco ;
Patti, Edoardo .
IEEE INTERNET OF THINGS JOURNAL, 2019, 6 (01) :1136-1146
[38]   Fault-tolerant Real-time Analytics with Distributed Oracle Database In-memory [J].
Mukherjee, Niloy ;
Chavan, Shasank ;
Colgan, Maria ;
Gleeson, Mike ;
He, Xiaoming ;
Holloway, Allison ;
Kamp, Jesse ;
Kulkarni, Kartik ;
Lahiri, Tirthankar ;
Loaiza, Juan ;
Macnaughton, Neil ;
Mullick, Atrayee ;
Muthulingam, Sujatha ;
Raja, Vivekanandhan ;
Rungta, Raunak .
2016 32ND IEEE INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE), 2016, :1298-1309
[39]   Natrium: Use of FPGA embedded processors for real-time data compression [J].
Ammendola, R. ;
Biagioni, A. ;
Frezza, O. ;
Lo Cicero, F. ;
Lonardo, A. ;
Rossetti, D. ;
Salamon, A. ;
Salina, G. ;
Simula, F. ;
Tosoratto, L. ;
Vicini, P. .
JOURNAL OF INSTRUMENTATION, 2011, 6
[40]   Real-time Sensor Data Processing and Reaction in the Context of Autonomous Systems [J].
Igoe, Phillip K. ;
Sideleau, Scott R. ;
Balasubramanian, Ramprasad .
OCEANS 2018 MTS/IEEE CHARLESTON, 2018,