On the real-time calibration of six-port receivers (SPRs)

1999 ◽  
Vol 20 (5) ◽  
pp. 318-322 ◽  
Author(s):  
Yansheng Xu ◽  
Renato G. Bosisio
Keyword(s):  
Real Time ◽  
The Real ◽  
Time Calibration

scholarly journals Single Fault Diagnosis Method of Sensors in Cascade System Based on Data-Driven

Sensors ◽  
2021 ◽  
Vol 21 (21) ◽  
pp. 7340
Author(s):  
Wenbo Na ◽  
Siyu Guo ◽  
Yanfeng Gao ◽  
Jianxing Yang ◽  
Junjie Huang
Keyword(s):  
Fault Diagnosis ◽  
Fault Detection ◽  
Real Time ◽  
Fault Detection And Diagnosis ◽  
Data Driven ◽  
Cascade System ◽  
The Real ◽  
Single Fault ◽  
Time Calibration ◽  
Diagnosis Method

The reliability and safety of the cascade system, which is widely applied, have attached attention increasingly. Fault detection and diagnosis can play a significant role in enhancing its reliability and safety. On account of the complexity of the double closed-loop system in operation, the problem of fault diagnosis is relatively complex. For the single fault of the second-order valued system sensors, a real-time fault diagnosis method based on data-driven is proposed in this study. Off-line data is employed to establish static fault detection, location, estimation, and separation models. The static models are calibrated with on-line data to obtain the real-time fault diagnosis models. The real-time calibration, working flow and anti-interference measures of the real-time diagnosis system are given. Experiments results demonstrate the validity and accuracy of the fault diagnosis method, which is suitable for the general cascade system.

scholarly journals A New Calibration Method for the Real-Time Calculation of Dynamic Safety Following Distance under Railway Moving Block System

2018 ◽  
Vol 2018 ◽  
pp. 1-11
Author(s):  
Deng Pan ◽  
Qing Luo ◽  
Liting Zhao ◽  
Chuansheng Zhang ◽  
Zejun Chen
Keyword(s):  
Real Time ◽  
High Speed ◽  
Calibration Method ◽  
Hyperbolic Function ◽  
High Speed Train ◽  
The Real ◽  
Relative Safety ◽  
Time Calibration ◽  
Study Results ◽  
Time Calculation

Only the actual following distance that is a little greater than the optimum safety following distance at any time can make the following train move in safety and efficiency. For this purpose, a new calibration method is studied for the real-time calculation of the dynamically optimum safety following distance. To cope with the complex situations of train following operation, the mathematic model of train deceleration operation based on the hyperbolic function with a variable acceleration control strategy is established to simulate the speed-changing behavior of high-speed train steered by the well-experienced driver. Using the evaluation of train behavior adjustment quality and the numerical analysis theory, we build the fitting function of the optimum absolute safety following distance changing with the following train’s velocity for the real-time calibration of safe following distance under absolute braking mode. And then, we discussed the real-time calculation of the optimum safety following distance under relative braking mode (i.e., the relative safety following distance). The study results will help a high-speed train to evaluate and optimize its own following behavior according to the current operation states of train following system, the actual following distance, and the absolute or relative safety following distance. The actual following distance is rationally controlled by the scientific adjustment of the following train’s behavior so that train following movement can be always safe, efficient, and smooth (comfortable).

scholarly journals Programmable µChopper Device with On-Chip Droplet Mergers for Continuous Assay Calibration

Micromachines ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 620 ◽  
Author(s):  
Nan Shi ◽  
Christopher J. Easley
Keyword(s):  
Real Time ◽  
Salt Water ◽  
Real Time Control ◽  
Large Signal ◽  
Linear Calibration ◽  
Excitation Light ◽  
Abrupt Decrease ◽  
The Real ◽  
Time Calibration ◽  
On Chip

While droplet-based microfluidics is a powerful technique with transformative applications, most devices are passively operated and thus have limited real-time control over droplet contents. In this report, an automated droplet-based microfluidic device with pneumatic pumps and salt water electrodes was developed to generate and coalesce up to six aqueous-in-oil droplets (2.77 nL each). Custom control software combined six droplets drawn from any of four inlet reservoirs. Using our μChopper method for lock-in fluorescence detection, we first accomplished continuous linear calibration and quantified an unknown sample. Analyte-independent signal drifts and even an abrupt decrease in excitation light intensity were corrected in real-time. The system was then validated with homogeneous insulin immunoassays that showed a nonlinear response. On-chip droplet merging with antibody-oligonucleotide (Ab-oligo) probes, insulin standards, and buffer permitted the real-time calibration and correction of large signal drifts. Full calibrations (LODconc = 2 ng mL−1 = 300 pM; LODamt = 5 amol) required <1 min with merely 13.85 nL of Ab-oligo reagents, giving cost-savings 160-fold over the standard well-plate format while also automating the workflow. This proof-of-concept device—effectively a microfluidic digital-to-analog converter—is readily scalable to more droplets, and it is well-suited for the real-time automation of bioassays that call for expensive reagents.

scholarly journals An Improved Sensing Method of a Robotic Ultrasound System for Real-Time Force and Angle Calibration

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 2927
Author(s):  
Kuan-Ju Wang ◽  
Chieh-Hsiao Chen ◽  
Jia-Jin (Jason) Chen ◽  
Wei-Siang Ciou ◽  
Cheng-Bin Xu ◽  
...  
Keyword(s):  
Real Time ◽  
Imaging System ◽  
Pressure Sensors ◽  
Robotic Arm ◽  
Measurement Unit ◽  
Ultrasonic Probe ◽  
The Real ◽  
Time Calibration ◽  
Robotic Ultrasound ◽  
Ultrasound System

An ultrasonic examination is a clinically universal and safe examination method, and with the development of telemedicine and precision medicine, the robotic ultrasound system (RUS) integrated with a robotic arm and ultrasound imaging system receives increasing attention. As the RUS requires precision and reproducibility, it is important to monitor the real-time calibration of the RUS during examination, especially the angle of the probe for image detection and its force on the surface. Additionally, to speed up the integration of the RUS and the current medical ultrasound system (US), the current RUSs mostly use a self-designed fixture to connect the probe to the arm. If the fixture has inconsistencies, it may cause an operating error. In order to improve its resilience, this study proposed an improved sensing method for real-time force and angle calibration. Based on multichannel pressure sensors, an inertial measurement unit (IMU), and a novel sensing structure, the ultrasonic probe and robotic arm could be simply and rapidly combined, which rendered real-time force and angle calibration at a low cost. The experimental results show that the average success rate of the downforce position identification achieved was 88.2%. The phantom experiment indicated that the method could assist the RUS in the real-time calibration of both force and angle during an examination.

scholarly journals Real-Time Calibration and Registration Method for Indoor Scene with Joint Depth and Color Camera

2018 ◽  
Vol 32 (07) ◽  
pp. 1854021 ◽  
Author(s):  
Fengquan Zhang ◽  
Tingshen Lei ◽  
Jinhong Li ◽  
Xingquan Cai ◽  
Xuqiang Shao ◽  
...  
Keyword(s):  
Real Time ◽  
Color Image ◽  
Random Noise ◽  
Three Dimensional ◽  
Depth Map ◽  
Video Stream ◽  
Depth Information ◽  
Registration Method ◽  
The Real ◽  
Time Calibration

Traditional vision registration technologies require the design of precise markers or rich texture information captured from the video scenes, and the vision-based methods have high computational complexity while the hardware-based registration technologies lack accuracy. Therefore, in this paper, we propose a novel registration method that takes advantages of RGB-D camera to obtain the depth information in real-time, and a binocular system using the Time of Flight (ToF) camera and a commercial color camera is constructed to realize the three-dimensional registration technique. First, we calibrate the binocular system to get their position relationships. The systematic errors are fitted and corrected by the method of B-spline curve. In order to reduce the anomaly and random noise, an elimination algorithm and an improved bilateral filtering algorithm are proposed to optimize the depth map. For the real-time requirement of the system, it is further accelerated by parallel computing with CUDA. Then, the Camshift-based tracking algorithm is applied to capture the real object registered in the video stream. In addition, the position and orientation of the object are tracked according to the correspondence between the color image and the 3D data. Finally, some experiments are implemented and compared using our binocular system. Experimental results are shown to demonstrate the feasibility and effectiveness of our method.

The Real-Time Neural Genesis of a Punchline

2014 ◽  
Author(s):  
Irving Biederman ◽  
Ori Amir
Keyword(s):  
Real Time ◽  
The Real
Sign in / Sign up

Export Citation Format

Share Document