Real-Time Graph Partition and Embedding of Large Network

2018 ◽  
Author(s):  
Wenqi Liu ◽  
Hongxiang Li ◽  
Bin Xie
Keyword(s):  
Real Time ◽  
Graph Partition ◽  
Large Network ◽  
Time Graph

Hashing for Adaptive Real-Time Graph Stream Classification With Concept Drifts

2018 ◽  
Vol 48 (5) ◽  
pp. 1591-1604 ◽  
Author(s):  
Lianhua Chi ◽  
Bin Li ◽  
Xingquan Zhu ◽  
Shirui Pan ◽  
Ling Chen
Keyword(s):  
Real Time ◽  
Stream Classification ◽  
Time Graph ◽  
Concept Drifts

Design and Implementation of Large Computer Room Environment Intelligent Monitoring System Based on Zigbee

2013 ◽  
Vol 397-400 ◽  
pp. 1673-1676 ◽  
Author(s):  
Xing Chen Zhao ◽  
Jin Qiang Li ◽  
Jian Liu ◽  
Quan Shi ◽  
Ling Sun
Keyword(s):  
Data Acquisition ◽  
Real Time ◽  
Monitoring System ◽  
Environmental Data ◽  
Large Network ◽  
Time Data ◽  
Large Computer ◽  
Switch Control ◽  
Street Lamp ◽  
Intelligent Irrigation

For large network communication equipment are in need of real time computer maintenance and management, the traditional manual management can't meet this need, so this paper designs a set of real-time data acquisition, intelligent alarm and remote control, large computer room environment monitoring system based on Zigbee. The system is composed of terminal monitoring subsystem, control subsystem and management terminal. The terminal monitoring system consists of ZigBee node through the network, and its data acquisition include temperature, humidity and smoke environmental data; MSP430F1611 and Ethernet module monitoring subsystem are responsible for packet analysis, Ethernet connection, and Web intelligent remote switch control when monitoring data reaches a threshold. The system also can be used in street lamp remote intelligent control, intelligent irrigation control system of greenhouse vegetables and so on. Therefore, it has good application value.

scholarly journals Dynamic scheduling algorithm for parallel real-time graph tasks

2012 ◽  
Vol 9 (4) ◽  
pp. 25-28 ◽  
Author(s):  
Manar Qamhieh ◽  
Serge Midonnet ◽  
Laurent George
Keyword(s):  
Real Time ◽  
Dynamic Scheduling ◽  
Scheduling Algorithm ◽  
Time Graph

Survival Analysis of Tumor using 7 Tesla MRI

2016 ◽  
Vol 5 (2) ◽  
Author(s):  
S.M. Syed Aqil Burney ◽  
Adnan Alam Khan ◽  
Asim Iftikhar
Keyword(s):  
Cancer Patient ◽  
Real Time ◽  
Imaging Technique ◽  
Cancer Registries ◽  
Statistical Technique ◽  
7 Tesla ◽  
Time Graph ◽  
Alternative Approach ◽  
Conceptual Background ◽  
7 Tesla Mri

<span>Magnetic resonance imaging (MRI7) is a very powerful imaging technique for the assessment of stroke <span>aetiology (Condition) and brain imaging. Another class of MRI is ultrahigh frequency based MRI using 7 <span>Tesla is now developed by seamen’s for better imaging in humans. This study examines these MRI. This<br /><span>article highlights an alternative approach, denoted “interval monitoring,” whose aims is related with more <span>timely detection of tumor cancer changes. The conceptual background and the computational realization <span>of the proposed method are outlined, and its application is illustrated by an empirical example from the <span>image-based photo science, cancer registry of America. Monitoring of cancer patient survival is the first <span>step of its cure so across the globe practice routinely employed by many cancer registries, which is an <span>essential component for its cure. However, changes in prognosis over time are disclosed with<br /><span>considerable delay, with traditional methods of monitoring cumulative survival. Our study took sequence <span>of MRI images, GMPLS function locate the cancer after filtering and skeletonization. This study saves <span>time and difference for calculation of cancer equation. This study uses statistical technique to get the <span>desired matrix, further its inverse provides us real time mathematical equation which is unique for each <span>patient. Further survivor analysis is employed to achieve the break or death of subject. The Aim of this <span>research is to provide unique mathematical model of a cancer patient, provides real time graph about<br /><span>cancer health and survivor function depicts the death of subject respectively.</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span><br /><br class="Apple-interchange-newline" /></span>

Real-time Graph-Based 3D Reconstruction of Sparse Feature Environments for Mobile Robot Applications

2018 ◽  
Author(s):  
Daniel Gaspers ◽  
Christoph Knorr ◽  
Tobias Nickchen ◽  
Daniel Nickchen ◽  
Barbel Mertsching ◽  
...  
Keyword(s):  
Mobile Robot ◽  
3D Reconstruction ◽  
Real Time ◽  
Time Graph

scholarly journals Design and Development of the CTAR All-Star

10.29007/h37n ◽  
2019 ◽  
Author(s):  
Terri Heglar ◽  
Andrew Penrose ◽  
Austin Yount ◽  
Kristine Galek ◽  
Yantao Shen ◽  
...  
Keyword(s):  
Real Time ◽  
Mobile Device ◽  
Pressure Sensor ◽  
Mobile Application ◽  
Future Research ◽  
Objective Data ◽  
Chin Tuck ◽  
Time Graph ◽  
Cross Platform ◽  
Over Time

The CTAR All-Star is a system consisting of a rubber ball, a pressure sensor, and a bluetooth transmitter paired with a cross-platform mobile application. The device is used as a rehabilitation tool for people with dysphagia in a similar fashion to the traditional chin tuck against resistance (CTAR) exercise by squeezing a ball between the chin and upper chest. The mobile device monitors and displays the pressure inside the ball on a real-time graph allowing the patient to follow exercise routines set by Speech-Language Pathologists. Additionally, the application stores exercise data that can be used to both monitor the patient's progress over time and provide objective data for future research purposes.

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