Enhanced n-wheeler post accidental rescue system connecting to the correct person at the correct time
A Parashar, V Maheshwari… - 2016 IEEE Region 10 …, 2016 - ieeexplore.ieee.org
Automobile Technology now-a-days is growing very quickly, and this incredible growth has
definitely made our lives better than before. This growth in technology has also increased …
definitely made our lives better than before. This growth in technology has also increased …
Building an elastic query engine on disaggregated storage
We present operational experience running Snowflake, a cloud-based data warehousing
system with SQL support similar to state-of-the-art databases. Snowflake design is motivated …
system with SQL support similar to state-of-the-art databases. Snowflake design is motivated …
Selective dissemination of information (SDI) in the age of artificial intelligence (AI)
Purpose In this study, the authors seek to introduce ways that show that in the age of artificial
intelligence (AI), selective dissemination of information (SDI) performance can be greatly …
intelligence (AI), selective dissemination of information (SDI) performance can be greatly …
Improving the performance of the Kernighan-Lin and simulated annealing graph bisection algorithms
T Bui, C Heigham, C Jones, T Leighton - … of the 26th ACM/IEEE Design …, 1989 - dl.acm.org
In this paper, we compare the performance of two popular graph bisection algorithms. We
also present an empirical study of a new heuristic, first proposed in [B87], that dramatically …
also present an empirical study of a new heuristic, first proposed in [B87], that dramatically …
An economic order quantity stochastic dynamic optimization model in a logistic 4.0 environment
This paper proposes a stock dynamic sizing optimization under the Logistic 4.0 environment.
The safety stock is conceived to fill up the demand variability, providing continuous stock …
The safety stock is conceived to fill up the demand variability, providing continuous stock …
On-demand ELT architecture for right-time BI: extending the vision
In a typical BI infrastructure, data, extracted from operational data sources, is transformed,
cleansed, and loaded into a data warehouse by a periodic ETL process, typically executed …
cleansed, and loaded into a data warehouse by a periodic ETL process, typically executed …
Automated credit assessment framework using ETL process and machine learning
In the current business scenario, real-time analysis of enterprise data through Business
Intelligence (BI) is crucial for supporting operational activities and taking any strategic …
Intelligence (BI) is crucial for supporting operational activities and taking any strategic …
Scalable real-time OLAP on cloud architectures
In contrast to queries for on-line transaction processing (OLTP) systems that typically access
only a small portion of a database, OLAP queries may need to aggregate large portions of a …
only a small portion of a database, OLAP queries may need to aggregate large portions of a …
The paradoxes of the reengineering of information flows for management control: A case study in a public university hospital
This study analyses the organisational reengineering processes developed following the
adoption of an Enterprise Resource Planning (ERP) system in a public university hospital …
adoption of an Enterprise Resource Planning (ERP) system in a public university hospital …
Problems and available solutions on the stage of extract, transform, and loading in near real-time data warehousing (a literature study)
A Wibowo - … international seminar on intelligent technology and …, 2015 - ieeexplore.ieee.org
In the traditional ETL (Extract Transform Loading), refreshment of data warehouse must be
done in off peak hours. It means that all operational and analysis stopped from their all …
done in off peak hours. It means that all operational and analysis stopped from their all …