Real-time and Long-time Quantification of Behavior of Laboratory Mice Scratching

2007 ◽  
Author(s):  
Idaku Ishii ◽  
Yuman Nie ◽  
Kenkichi Yamamoto ◽  
Kensuke Orito ◽  
Hiroshi Matsuda
Keyword(s):  
Real Time ◽  
Laboratory Mice ◽  
Long Time

scholarly journals Complex Event Processing for Sensor Stream Data

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 3084 ◽  
Author(s):  
Kyoungsoo Bok ◽  
Daeyun Kim ◽  
Jaesoo Yoo
Keyword(s):  
Real Time ◽  
Complex Event Processing ◽  
Superior Performance ◽  
Event Processing ◽  
Stream Data ◽  
Internet Of Things Environment ◽  
Processing Cost ◽  
Single Operator ◽  
Long Time ◽  
The Cost

As a large amount of stream data are generated through sensors over the Internet of Things environment, studies on complex event processing have been conducted to detect information required by users or specific applications in real time. A complex event is made by combining primitive events through a number of operators. However, the existing complex event-processing methods take a long time because they do not consider similarity and redundancy of operators. In this paper, we propose a new complex event-processing method considering similar and redundant operations for stream data from sensors in real time. In the proposed method, a similar operation in common events is converted into a virtual operator, and redundant operations on the same events are converted into a single operator. The event query tree for complex event detection is reconstructed using the converted operators. Through this method, the cost of comparison and inspection of similar and redundant operations is reduced, thereby decreasing the overall processing cost. To prove the superior performance of the proposed method, its performance is evaluated in comparison with existing methods.

The Study of Motor Winding Testing System for Inter-Turn with 30kV

2013 ◽  
Vol 278-280 ◽  
pp. 831-834 ◽  
Author(s):  
Xiao Sun ◽  
Hao Zhou ◽  
Xiang Jiang Lu ◽  
Yong Yang
Keyword(s):  
Data Collection ◽  
Real Time ◽  
Field Test ◽  
Performance Indicators ◽  
Testing System ◽  
Time Data ◽  
Process Data ◽  
Real Time Data ◽  
Long Time ◽  
Factory Testing

This paper designed a motor winding testing system, it can do the dielectric withstand voltage test of inter-turn under 30kV.The system can communicate effectively between PC and machine, by using the PC's powerful capacity of process data and PLC's better stability and the Labview's convenient UI. So the system has real-time data collection, preservation, analysis and other characteristics. This system is able to achieve factory testing and type testing of the motor windings facilitating. Various performance indicators were stable and reliable by field test during a long time.

scholarly journals PENGARUH GANGGUAN LINGKUNGAN ANTARIKSA PADA SISTEM ELEKTRONIK LAPAN-TUBSAT (EFFECT OF SPACE ENVIRONMENT DISTURBANCE IN LAPAN-TUBSAT SATELLITE)

2012 ◽  
Vol 10 (1) ◽  
Author(s):  
Nayla Najati
Keyword(s):  
Real Time ◽  
South Atlantic ◽  
Space Environment ◽  
Normal Operation ◽  
Single Event ◽  
South Atlantic Anomaly ◽  
Long Time ◽  
Latch Up

LAPAN-TUBSAT has been operated more than five years. During the operation, LAPAN-TUBSAT faces several anomaly. It could be observed by using real time telemetry and long time telemetry. When and where an anomaly appeared can be detected with long time telemetry. Anomaly event on LAPAN-TUBSAT’s PCDH is caused by Single Event Latch-Up (SEL) that happen in scale of weeks.These conditions required LAPAN-TUBSAT operators to take action in order to make LAPAN-TUBSAT back to normal operation. This paper describes statistic of SEL that occur in LAPAN-TUBSAT. Almost 70% of SEL event take place at South Atlantic Anomaly (SAA) and the rest at polar. Keywords: SEL, LAPAN-TUBSAT, Real time telemetry, Long time telemetry, PCDH

Real-Time EEG-Based Detection of Fatigue Driving Danger for Accident Prediction

2015 ◽  
Vol 25 (02) ◽  
pp. 1550002 ◽  
Author(s):  
Hong Wang ◽  
Chi Zhang ◽  
Tianwei Shi ◽  
Fuwang Wang ◽  
Shujun Ma
Keyword(s):  
Real Time ◽  
Detection System ◽  
Neural Mechanism ◽  
Processing Capacity ◽  
Driver Fatigue ◽  
Accident Prediction ◽  
Functional Brain Networks ◽  
Long Time ◽  
Danger Detection ◽  
Fatigue Driving

This paper proposes a real-time electroencephalogram (EEG)-based detection method of the potential danger during fatigue driving. To determine driver fatigue in real time, wavelet entropy with a sliding window and pulse coupled neural network (PCNN) were used to process the EEG signals in the visual area (the main information input route). To detect the fatigue danger, the neural mechanism of driver fatigue was analyzed. The functional brain networks were employed to track the fatigue impact on processing capacity of brain. The results show the overall functional connectivity of the subjects is weakened after long time driving tasks. The regularity is summarized as the fatigue convergence phenomenon. Based on the fatigue convergence phenomenon, we combined both the input and global synchronizations of brain together to calculate the residual amount of the information processing capacity of brain to obtain the dangerous points in real time. Finally, the danger detection system of the driver fatigue based on the neural mechanism was validated using accident EEG. The time distributions of the output danger points of the system have a good agreement with those of the real accident points.

scholarly journals On-site Smart Operation and Maintenance System for Substation Equipment Based on Mobile Network

2018 ◽  
Vol 14 (03) ◽  
pp. 66 ◽  
Author(s):  
Lin Cheng ◽  
Wenshan Hu ◽  
Zhengyang Liu ◽  
Wei Cai
Keyword(s):  
Real Time ◽  
Data Center ◽  
Data Exchange ◽  
Mobile Network ◽  
Mobile App ◽  
Electrical Grid ◽  
Maintenance System ◽  
Operation And Maintenance ◽  
Long Time ◽  
Substation Equipment

The maintenance of substations is crucial for the safety of the electrical grid and power industry.<strong> </strong>However, for long time, the maintenance teams in the field and the experts in the power companies are divided. The data and expertise exchanges between the on-site maintenance teams and data center are delayed due to the lack of effective communication. This paper introduces an on-site smart operation maintenance system for substation equipment based on mobile network. It is able to establish real-time communication and data exchange channels between the maintenance teams and data center. It consists of an operation and maintenance system platform located on the data center side and smart operation and maintenance boxes with mobile APP which are carried to the field side by the maintenance teams. As the kernel of the system, the smart boxes are bridges between the data center and operation sites. On one hand, it is able to formally upload data to the data center in real-time. One the other hand, the operation and maintenance personnel are able to call for help from the resource on the data center anytime. Using the system proposed in the paper, both efficiency of the operation and maintenance and the normalization of the data can be improved.

Identifying useful real-time control parameters in ozonation process

2000 ◽  
Vol 42 (3-4) ◽  
pp. 435-440 ◽  
Author(s):  
C.-P. Yu ◽  
Y.-H. Yu
Keyword(s):  
Real Time ◽  
Ozone Concentration ◽  
Control Parameters ◽  
Real Time Control ◽  
Reactor Outlet ◽  
Time Control ◽  
Long Time ◽  
Three Stages ◽  
The Mean ◽  
State Curve

Industrial wastewaters that contain phenolic compounds are resistant to biodegradation and need preoxidation to improve their biodegradabilities. Preoxidation of these wastewaters by using ozone as the chemical oxidant has been found previously to be quite effective in promoting their biodegradability. In combined ozonation and biological processes, if we want to stop ozonation at the optimum condition (i.e. the maximum biodegradability), a biodegradation test is required. Since biodegradation tests such as BOD/TOC and oxygen uptake would take a long time, we could not know the time to stop ozonation immediately. This study was undertaken to identify process parameters (pH, ORP, ozone concentration in water, ozone gas concentration at the reactor outlet) that could be useful for monitoring and real-time control purposes in ozonation processes. We want to correlate these parameters with biodegradability and intermediates formed in ozonation processes. Results showed that the rapid increase of dissolved ozone and the first plateau termination of off-gas ozone concentrations are good indicators for the depletion of p-nitrophenol, the maximum of biodegradability and the elimination of toxicity. From the mean oxidation state curve, ozonation of p-nitrophenol could be divided into three stages, and a similar pattern could also be observed in ORP profiles. From the results of this research, the application of ozone concentration and ORP profiles as real-time control parameters seems promising.

scholarly journals Video consultations in ordinary and extraordinary times

2020 ◽  
Vol 20 (5) ◽  
pp. 396-403 ◽  
Author(s):  
Callum Duncan ◽  
Angus D Macleod
Keyword(s):  
Real Time ◽  
Video Conferencing ◽  
The Internet ◽  
Camera Control ◽  
North East ◽  
The North ◽  
Standard Part ◽  
Long Time ◽  
Video Calling

Tele-neurology is a neurological consultation at a distance, or not in person, using various technologies to achieve connectivity, including the telephone and the internet. The telephone is ubiquitous and is a standard part of how we manage patients. Video consulting has been used for a long time in some centres, particularly in those where the geography means that patients have to travel long distances. Various technologies can be used, and with the development of various internet-based video-calling platforms, real-time video consulting has become much more accessible. We have provided a tele-neurology service in the North East of Scotland since 2006 using video conferencing with far-end camera control. More recently, we have complemented this using an internet-based platform (NHS Near Me). Here we outline the practicalities of video consulting in ‘ordinary’ times and comment on its use in the ‘extraordinary’ times of the coronavirus pandemic.

Research on Simulation Modeling of Flight Aircraft Air under the Condition of Turbulent Flow

2014 ◽  
Vol 684 ◽  
pp. 165-168
Author(s):  
Yong Zhou Jiang ◽  
Yong Ji Lu ◽  
Yan Ding ◽  
Xiao Yan Yu
Keyword(s):  
Real Time ◽  
Simulation Modeling ◽  
Flight Simulation ◽  
Flight Simulator ◽  
Aircraft Structure ◽  
Atmospheric Disturbance ◽  
Real Time Simulation ◽  
Time Simulation ◽  
Simulation Based ◽  
Long Time

The flight process often in turbulence. Atmospheric turbulence causes flight bump, long time will cause damage to the aircraft structure fatigue. This paper establishes a model for atmospheric disturbance, flight simulation. Based on the aircraft through all kinds of atmospheric disturbance is studied. The use of embedded database and real-time simulation platform, built a run, in the PC machine can be used for dynamic model for real-time simulation of flight simulator.

μ-‘Diving suit’ for liquid-phase high-Q resonant detection

Lab on a Chip ◽  
2016 ◽  
Vol 16 (5) ◽  
pp. 902-910 ◽  
Author(s):  
Haitao Yu ◽  
Ying Chen ◽  
Pengcheng Xu ◽  
Tiegang Xu ◽  
Yuyang Bao ◽  
...  
Keyword(s):  
Liquid Phase ◽  
Real Time ◽  
Chemical Detection ◽  
High Q ◽  
Cantilever Sensors ◽  
Long Time ◽  
Micro Cantilever

A μ-‘diving suit’ technology is developed to achieve long-time stable resonance of micro-cantilever sensors in solution for real-time bio/chemical detection.

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