FARAD: A Storage System for Random Real-Time Data

1996 ◽  
Author(s):  
Takashi Totsuka ◽  
Yasunobu Kato
Keyword(s):  
Real Time ◽  
Storage System ◽  
Random Real ◽  
Time Data ◽  
Real Time Data

scholarly journals FARAD: A storage system for random real-time data

1997 ◽  
Vol 21 (S_2_PMRC_97_2) ◽  
pp. S2_329-334
Author(s):  
Takashi TOTSUKA
Keyword(s):  
Real Time ◽  
Storage System ◽  
Random Real ◽  
Time Data ◽  
Real Time Data

Real-time data acquisition and storage system

1993 ◽  
Author(s):  
Fabrizio Barone ◽  
Luciano DiFiore ◽  
Leopoldo Milano ◽  
G. Russo
Keyword(s):  
Data Acquisition ◽  
Real Time ◽  
Storage System ◽  
Time Data ◽  
Real Time Data ◽  
And Storage

A Block Chain Approach for Privacy Preserving and Data Security in Internet of Things

2020 ◽  
Vol 17 (9) ◽  
pp. 3979-3982
Author(s):  
N. Harish Kumar ◽  
G. Deepak
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Data Security ◽  
Cloud Storage ◽  
Storage System ◽  
Information Storage ◽  
Entire System ◽  
Time Data ◽  
Real Time Data ◽  
Block Chain

Internet of Things has been increasing its usage and recognition in vast sectors like Defence, Business, Industries, and Hospitals. The data disruption is strictly unacceptable in a number of these sectors because it could end up in serious Loss or Damages to the entire system. As of now, IOT is using a central cloud storage system for information storage and transactions. However, some examples already verified that Central cloud storage information might be hacked and changed by the specialists. This paper presents an IoT system having localized block chain storage which works on real time data and manipulates with narrowness of data interruption and modification and its recovery.

scholarly journals Effective Management System for Solar PV Using Real-Time Data with Hybrid Energy Storage System

2020 ◽  
Vol 10 (3) ◽  
pp. 1108 ◽  
Author(s):  
G. V. Brahmendra Kumar ◽  
Palanisamy Kaliannan ◽  
Sanjeevikumar Padmanaban ◽  
Jens Bo Holm-Nielsen ◽  
Frede Blaabjerg
Keyword(s):  
Real Time ◽  
Storage System ◽  
Energy Storage System ◽  
Effective Management ◽  
Solar Pv ◽  
Time Data ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Hybrid Energy Storage System ◽  
Real Time Data

This paper proposes an effective management system for stand-alone solar photovoltaic (PV) using real-time data with Hybrid Energy Storage System (HESS). The abrupt movement of fleeting clouds often gives rise to PV power output fluctuations which in turn affect the power quality and system stability due to scattered solar radiation reception. These variations can limit through a ramp-limit controller and employing a DC link controller to maintain the stable DC link voltage. The battery is used in the system for continuous power application and the sudden variations in charging and discharging of battery power can create stress on the battery. These sudden changes in a battery will be removed by the super-capacitor (SC) unit and achieves a fast DC link voltage regulation. Hence, the high energy and power density devices such as battery and SC units will deliver more stable power into the system. The control scheme is tested in Matlab/Simulink and validated by Real-Time Hardware-in-Loop (HIL) simulator using periodic one-minute data for one year from the solar PV power plant from real-time.

399-P: Nurse-Driven Intervention Using Real-Time Data to Improve Hypoglycemia Rates in a Respiratory Care Unit

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 399-P
Author(s):  
ANN MARIE HASSE ◽  
RIFKA SCHULMAN ◽  
TORI CALDER
Keyword(s):  
Real Time ◽  
Respiratory Care ◽  
Time Data ◽  
Real Time Data
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