scholarly journals Coal supply/demand, 1980 to 2000. Task 3. Resource applications industrialization system data base. Final review draft. [USA; forecasting 1980 to 2000; sector and regional analysis]

1980 ◽  
Author(s):  
W.M. Fournier ◽  
V. Hasson
Keyword(s):  
Data Base ◽  
Regional Analysis ◽  
System Data ◽  
Coal Supply

scholarly journals System Data Base Terpadu Untuk Mendukung Sistem Monitoring Perkuliahan

MULTINETICS ◽  
2020 ◽  
Vol 6 (1) ◽  
pp. 40-46
Author(s):  
Eriya Eriya ◽  
Risna Sari
Keyword(s):  
Data Base ◽  
System Data

Prediction of Pavement Remaining Life

1996 ◽  
Vol 1524 (1) ◽  
pp. 137-144 ◽  
Author(s):  
T. S. Vepa ◽  
K. P. George ◽  
A. Raja Shekharan
Keyword(s):  
Data Base ◽  
Management System ◽  
Flexible Pavements ◽  
Information Management System ◽  
Pavement Management ◽  
Remaining Life ◽  
Structural Capacity ◽  
System Data ◽  
Performance Project ◽  
Falling Weight

The evaluation of remaining life is necessary to make optimal use of the structural capacity of in-service pavements. It simply represents the useful life left in the pavement until a failure condition is reached. Knowledge of remaining life facilitates decision making in regard to strategies for reconstruction-rehabilitation of roads, thereby leading to the efficient use of existing resources. Several methods proposed or used by various agencies to estimate the remaining lives of pavements are reviewed. They are classified under two categories: functional and structural. Making use of the Mississippi Department of Transportation pavement management system data base, survivor curves are developed for seven classes of flexible pavements with from thin to thick structures. By using these survivor curves a novel method for estimating remaining life is proposed. The reasonableness of the selected methods is examined by putting them to use in calculating the remaining lives of each of eight rigid and flexible pavement sections, all of them from the Mississippi global positioning system sections of the Strategic Highway Research Program–Long-Term Pavement Performance project (LTPP). With the structural details, falling weight deflectometer deflection data, and the distress information compiled from the LTTP information management system data base, the authors use two and four methods for rigid and flexible pavements, respectively, to determine the remaining lives. The remaining lives calculated by two methods for rigid pavements are comparable. Three of four methods for flexible pavements also generated comparable remaining lives. The authors were encouraged by the results and recommend that the survivor curve approach be explored further for network-level remaining life calculations. The reliabilities of various techniques currently available for the remaining life calculation are discussed.

Application of a Grid Data Language for Power System Data Base Definition and Query

1988 ◽  
Vol 21 (11) ◽  
pp. 73-79
Author(s):  
D. Rumpel ◽  
U. Post ◽  
R.W. Zaluk
Keyword(s):  
Power System ◽  
Data Base ◽  
Grid Data ◽  
System Data

Research and Implementation of Synchronization Technology Prioritization Scheme of CDIO Teaching System Data Base Based on Android

2012 ◽  
Vol 263-266 ◽  
pp. 1669-1672
Author(s):  
Hai Yan Hu ◽  
Hui Yan
Keyword(s):  
Educational Reform ◽  
Data Base ◽  
Network Flow ◽  
Mobile Platform ◽  
Data Synchronization ◽  
Teaching System ◽  
Hash Algorithm ◽  
System Data ◽  
Client Side ◽  
Prioritization Scheme

In order to realize the aim of engineering educational reform in a better way and transplant and expand teaching system under the model of CDIO to Android mobile platform, this paper mainly researched how to better protect the synchronization between client side and server during the process of using CDIO teaching system in the Android mobile platform. The key problem in the research is to apply Hash algorithm to data base update of CDIO teaching system in the Android platform, which decreases network flow, increases network use ratio and optimizes the system’s performance when compared to the traditional data synchronization algorithm.

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