A new, efficient and flexible error detection approach for compressed visual contents

2004 ◽  
Author(s):  
Hua Cai ◽  
Bing Zeng
Keyword(s):  
Error Detection ◽  
Detection Approach

scholarly journals A Tip–Tilt and Piston Detection Approach for Segmented Telescopes

Photonics ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 3
Author(s):  
Shun Qin ◽  
Wai Kin Chan
Keyword(s):  
Error Detection ◽  
Phase Retrieval ◽  
Dynamic Range ◽  
Detection Accuracy ◽  
Wavefront Sensing ◽  
Next Generation ◽  
Large Aperture ◽  
Detection Approach ◽  
Segmented Mirror ◽  
And Control

Accurate segmented mirror wavefront sensing and control is essential for next-generation large aperture telescope system design. In this paper, a direct tip–tilt and piston error detection technique based on model-based phase retrieval with multiple defocused images is proposed for segmented mirror wavefront sensing. In our technique, the tip–tilt and piston error are represented by a basis consisting of three basic plane functions with respect to the x, y, and z axis so that they can be parameterized by the coefficients of these bases; the coefficients then are solved by a non-linear optimization method with the defocus multi-images. Simulation results show that the proposed technique is capable of measuring high dynamic range wavefront error reaching 7λ, while resulting in high detection accuracy. The algorithm is demonstrated as robust to noise by introducing phase parameterization. In comparison, the proposed tip–tilt and piston error detection approach is much easier to implement than many existing methods, which usually introduce extra sensors and devices, as it is a technique based on multiple images. These characteristics make it promising for the application of wavefront sensing and control in next-generation large aperture telescopes.

A Behavior-Based Autonomous Agent Possessing System Detectable Error

2000 ◽  
Author(s):  
Keith L. Bearden ◽  
Mark L. Nowack ◽  
Wade O. Troxell
Keyword(s):  
Error Detection ◽  
System Level ◽  
Autonomous Agent ◽  
Main Function ◽  
External Observer ◽  
Processor Time ◽  
Detection Approach ◽  
Error Space ◽  
Behavior Based ◽  
Sensor Errors

Abstract A great deal of recent research is devoted to increasing the robustness and capability of behavior-based robotic systems. Behavior-based systems are extremely susceptible to sensor errors. To overcome this, most researchers have added processors to the basic system to compare multiple redundant sensors. This is an effective error detection approach, but it costs processor time, increases complexity, and can actually reduce reliability. Most importantly such systems lack the ability to self-detect error. All other forms of representation are unable to determine system level functional failures without the use of an external observer. This paper proposes a divergence from detecting sensor error to detecting functional error. By looking at the functional error space, the system can determine an error and move away from the error. This method will not determine a sensory failure as the cause of the functional failure; rather, this method determines that the system is not performing its main function and then tries something else. This leads to a system that can function with the loss of forty percent of its sensory capability for either the case of a disconnected sensor or a stuck sensor.

Rule selection versus rule execution in preschoolers: An error-detection approach.

1999 ◽  
Vol 35 (3) ◽  
pp. 770-780 ◽  
Author(s):  
Sophie Jacques ◽  
Philip David Zelazo ◽  
Natasha Z. Kirkham ◽  
Tanya K. Semcesen
Keyword(s):  
Error Detection ◽  
Rule Selection ◽  
Detection Approach

scholarly journals Comparison of in-situ delay monitors for use in Adaptive Voltage Scaling

2012 ◽  
Vol 10 ◽  
pp. 215-220 ◽  
Author(s):  
N. Pour Aryan ◽  
L. Heiß ◽  
D. Schmitt-Landsiedel ◽  
G. Georgakos ◽  
M. Wirnshofer
Keyword(s):  
Error Detection ◽  
Supply Voltage ◽  
Power Saving ◽  
Voltage Scaling ◽  
Worst Case ◽  
Operating Condition ◽  
Detection Approach ◽  
Test Circuit ◽  
Safety Margins

Abstract. In Adaptive Voltage Scaling (AVS) the supply voltage of digital circuits is tuned according to the circuit's actual operating condition, which enables dynamic compensation to PVTA variations. By exploiting the excessive safety margins added in state-of-the-art worst-case designs considerable power saving is achieved. In our approach, the operating condition of the circuit is monitored by in-situ delay monitors. This paper presents different designs to implement the in-situ delay monitors capable of detecting late but still non-erroneous transitions, called Pre-Errors. The developed Pre-Error monitors are integrated in a 16 bit multiplier test circuit and the resulting Pre-Error AVS system is modeled by a Markov chain in order to determine the power saving potential of each Pre-Error detection approach.

An Optimized Video Capture and Preprocessing Strategy Based on FPGA

2014 ◽  
Vol 519-520 ◽  
pp. 708-713
Author(s):  
Hong Xu Jiang ◽  
Hui Yong Li ◽  
Ping Zhang ◽  
Dong Lin Zhai
Keyword(s):  
Error Detection ◽  
High Reliability ◽  
Direct Method ◽  
Color Space ◽  
Video Data ◽  
Video Capture ◽  
Ycbcr Color Space ◽  
Detection Approach ◽  
Process System ◽  
Error Accumulation

The video capture and preprocessing is the basis of video process system. This paper analyzes the timing of video capture by Camera Link interface based on FPGA, and proposed an automatic error detection approach to avoid error accumulation during the video data capture. Furthermore, by adopting the optimized LUT and pipeline addition, an optimized method for RGB to YCbCr color space conversion (CSC) is presented specifically for the video format preprocessing. Experimental results demonstrate that the strategy we proposed is of high reliability, and it could obtain maximum operation frequency of 334MHz, 3.16 times faster than the direct method.

scholarly journals MPI Runtime Error Detection with MUST: Advances in Deadlock Detection

2013 ◽  
Vol 21 (3-4) ◽  
pp. 109-121 ◽  
Author(s):  
Tobias Hilbrich ◽  
Joachim Protze ◽  
Martin Schulz ◽  
Bronis R. de Supinski ◽  
Matthias S. Müller
Keyword(s):  
Error Detection ◽  
Message Passing ◽  
Message Passing Interface ◽  
Analysis Time ◽  
Deadlock Detection ◽  
Detection Approach ◽  
Wide Range ◽  
Real World Applications ◽  
Automated Tools ◽  
Application Developers

The widely used Message Passing Interface (MPI) is complex and rich. As a result, application developers require automated tools to avoid and to detect MPI programming errors. We present the Marmot Umpire Scalable Tool (MUST) that detects such errors with significantly increased scalability. We present improvements to our graph-based deadlock detection approach for MPI, which cover future MPI extensions. Our enhancements also check complex MPI constructs that no previous graph-based detection approach handled correctly. Finally, we present optimizations for the processing of MPI operations that reduce runtime deadlock detection overheads. Existing approaches often require 𝒪(p) analysis time per MPI operation, forpprocesses. We empirically observe that our improvements lead to sub-linear or better analysis time per operation for a wide range of real world applications.

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