Scheduling Access to Temporal Data in Real-Time Databases

1997 ◽  
pp. 167-191 ◽  
Author(s):  
Ming Xiong ◽  
Rajendran Sivasankaran ◽  
John A. Stankovic ◽  
Krithi Ramamritham ◽  
Don Towsley
Keyword(s):  
Real Time ◽  
Temporal Data

scholarly journals Burst Topic Detection in Real Time Spatial–Temporal Data Stream

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 82709-82720 ◽  
Author(s):  
Chuangying Zhu ◽  
Junping Du ◽  
Qiang Zhang ◽  
Ziwen Zhu ◽  
Lei Shi
Keyword(s):  
Real Time ◽  
Data Stream ◽  
Topic Detection ◽  
Temporal Data

scholarly journals Spatio-temporal multidimensional collective data analysis for providing comfortable living anytime and anywhere

2018 ◽  
Vol 7 ◽  
Author(s):  
Naonori Ueda ◽  
Futoshi Naya
Keyword(s):  
Data Analysis ◽  
Real Time ◽  
Urban Areas ◽  
Temporal Data ◽  
Collective Data ◽  
Novel Approach ◽  
Smart Data ◽  
Spatio Temporal ◽  
World Information ◽  
Temporal Data Analysis

Machine learning is a promising technology for analyzing diverse types of big data. The Internet of Things era will feature the collection of real-world information linked to time and space (location) from all sorts of sensors. In this paper, we discuss spatio-temporal multidimensional collective data analysis to create innovative services from such spatio-temporal data and describe the core technologies for the analysis. We describe core technologies about smart data collection and spatio-temporal data analysis and prediction as well as a novel approach for real-time, proactive navigation in crowded environments such as event spaces and urban areas. Our challenge is to develop a real-time navigation system that enables movements of entire groups to be efficiently guided without causing congestion by making near-future predictions of people flow. We show the effectiveness of our navigation approach by computer simulation using artificial people-flow data.

PLACE1A Query Processor for Handling Real-time Spatio-temporal Data Streams

2004 ◽  
pp. 1377-1380 ◽  
Author(s):  
M MOKBEL ◽  
X XIONG ◽  
W AREF ◽  
S HAMBRUSCH ◽  
S PRABHAKAR ◽  
...  
Keyword(s):  
Real Time ◽  
Data Streams ◽  
Temporal Data ◽  
Spatio Temporal

scholarly journals Deep SCNN-Based Real-Time Object Detection for Self-Driving Vehicles Using LiDAR Temporal Data

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 76903-76912 ◽  
Author(s):  
Shibo Zhou ◽  
Ying Chen ◽  
Xiaohua Li ◽  
Arindam Sanyal
Keyword(s):  
Object Detection ◽  
Real Time ◽  
Temporal Data
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