Multiple Heterogeneous Information Source

Author(s):  
A. Anto Lourdu Xavier Raj ◽  
A. Mairo Macrino

Today, this fault location analysis is completed within the digital signal processing method. Scenario packet transmission source of some of the attacks and intruders get data packets, and route alters identity problem before cumulative. Reduces processing time can find significant speed advantage and the accuracy of the classical method of calculation failure and presents a simple analog implementation. Back-propagation time is modeled as a fault location estimation of each repeated signature and the switches along with the network. Rapid Packet Transmission Algorithm (RPTA) by a certain load distribution, which leads to restrictions to avoid packet loss. Due to increased packet transmission, improving technology to limit non-destructive testing costs is in great demand. Our algorithm means that each candidate seriously and error detection mechanisms and can provide any fault tolerance of the routing path assessment. Simulation results with different fault resistance indicate that these methods are robust, fault-type, and the initial angle of the disorder. To find the faulty segment, use the transient to the common connection point. Good accuracy for complex network topologies also reduces the overhead generation region by implication checking logic; thus, compared to the typical failure locations of the techniques developed to reduce the total number of required effects, this solution charm.

2017 ◽  
Vol 5 (3) ◽  
pp. 17
Author(s):  
SANAD A. AHMED ◽  
ATTIA MAHMOUD A. ◽  
HAMED NABIL M. ◽  
ABDELAZIZ ALMOATAZ Y. ◽  
◽  
...  

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2704
Author(s):  
Yunhan Lin ◽  
Wenlong Ji ◽  
Haowei He ◽  
Yaojie Chen

In this paper, an intelligent water shooting robot system for situations of carrier shake and target movement is designed, which uses a 2 DOF (degree of freedom) robot as an actuator, a photoelectric camera to detect and track the desired target, and a gyroscope to keep the robot’s body stable when it is mounted on the motion carriers. Particularly, for the accurate shooting of the designed system, an online tuning model of the water jet landing point based on the back-propagation algorithm was proposed. The model has two stages. In the first stage, the polyfit function of Matlab is used to fit a model that satisfies the law of jet motion in ideal conditions without interference. In the second stage, the model uses the back-propagation algorithm to update the parameters online according to the visual feedback of the landing point position. The model established by this method can dynamically eliminate the interference of external factors and realize precise on-target shooting. The simulation results show that the model can dynamically adjust the parameters according to the state relationship between the landing point and the desired target, which keeps the predicted pitch angle error within 0.1°. In the test on the actual platform, when the landing point is 0.5 m away from the position of the desired target, the model only needs 0.3 s to adjust the water jet to hit the target. Compared to the state-of-the-art method, GA-BP (genetic algorithm-back-propagation), the proposed method’s predicted pitch angle error is within 0.1 degree with 1/4 model parameters, while costing 1/7 forward propagation time and 1/200 back-propagation calculation time.


Author(s):  
Gabriella Carrozza ◽  
Roberto Natella

This paper proposes an approach to software faults diagnosis in complex fault tolerant systems, encompassing the phases of error detection, fault location, and system recovery. Errors are detected in the first phase, exploiting the operating system support. Faults are identified during the location phase, through a machine learning based approach. Then, the best recovery action is triggered once the fault is located. Feedback actions are also used during the location phase to improve detection quality over time. A real world application from the Air Traffic Control field has been used as case study for evaluating the proposed approach. Experimental results, achieved by means of fault injection, show that the diagnosis engine is able to diagnose faults with high accuracy and at a low overhead.


Author(s):  
Gabriella Carrozza ◽  
Roberto Natella

This paper proposes an approach to software faults diagnosis in complex fault tolerant systems, encompassing the phases of error detection, fault location, and system recovery. Errors are detected in the first phase, exploiting the operating system support. Faults are identified during the location phase, through a machine learning based approach. Then, the best recovery action is triggered once the fault is located. Feedback actions are also used during the location phase to improve detection quality over time. A real world application from the Air Traffic Control field has been used as case study for evaluating the proposed approach. Experimental results, achieved by means of fault injection, show that the diagnosis engine is able to diagnose faults with high accuracy and at a low overhead.


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