The Application Research of Coal Seam CO Source Identification Based on the D-S Evidence Conflict

2013 ◽  
Vol 341-342 ◽  
pp. 961-965
Author(s):  
Feng Nan ◽  
Yang Li
Keyword(s):  
Information Fusion ◽  
Feature Recognition ◽  
Evidence Theory ◽  
Application Research ◽  
Source Information ◽  
Convergence Results ◽  
Conflicting Evidence ◽  
Conflict Condition ◽  
Constraint Problem ◽  
Conflict Identification

In the paper, we introduce the distance function of K-L information to replace the conflict coefficient in order to solve the constraint problem of D-S evidence theory in information fusion and achieve the feature recognition aggreation of Multi-source information under the conflict condition. Simulating results show that: the effective conflict identification of K-L information distance can complete the application constraint of D-S theorys synthetic rule, obtaining the optimized convergence results for synthesis of normal conflicting evidences, isolating the highly conflicting evidence.

Identification of the D-S Evidence Conflict Based on Multi-Source Information

2013 ◽  
Vol 347-350 ◽  
pp. 2191-2196
Author(s):  
Feng Nan ◽  
Yang Li
Keyword(s):  
Information Fusion ◽  
Distance Matrix ◽  
Source Information ◽  
Independent Evidence ◽  
Information Distance ◽  
Convergence Results ◽  
Conflicting Evidence ◽  
Conflict Identification ◽  
Paper Construct ◽  
Systematic Identification

TO solve the applying constraints problem of D-S evidence conflict in multi-information fusion and achieve the systematic identification of evidence conflict,we introduce the K-L information on the distance function to describe the characteristics of the conflict between the evidence in the paper, construct the distance matrix defined the level of conflict of independent evidence in the whole system. Simulating results show that: the effective conflict identification of K-L information distance can complete the application constraint of D-S theorys synthetic rule, obtaining the optimized convergence results for synthesis of normal conflicting evidences, isolating the highly conflicting evidence.

scholarly journals Application Research of Multi-source Information Fusion Technology in Power Network Fault Diagnosis

2019 ◽  
Vol 1187 (2) ◽  
pp. 022034
Author(s):  
Shuxin Liu ◽  
Enmin Zhao ◽  
Yanjun Zhang ◽  
Jing Li ◽  
Liang Zhang ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Information Fusion ◽  
Power Network ◽  
Fusion Technology ◽  
Application Research ◽  
Source Information ◽  
Network Fault

Research on Evaluation of Vehicle Dangerous Traveling State Based on Information Fusion Method

2013 ◽  
Vol 791-793 ◽  
pp. 1018-1022
Author(s):  
Peng Wang ◽  
Zhi Qiang Liu
Keyword(s):  
Information Fusion ◽  
Evaluation System ◽  
Evidence Theory ◽  
Recognition System ◽  
Fusion Method ◽  
Source Information ◽  
State Recognition ◽  
Research On Evaluation ◽  
Lane Departure ◽  
Level Information

An evaluation system of vehicle traveling state was proposed,and an unsafe vehicle traveling state recognition system was established using multi-level information fusion method. In view of the effects of the complexity of the driving environment, a variety of working conditions and the diversity of vehicle traveling characteristics, combing BP neural network with Dempster-Shafer evidence theory technique, the multi-information decision-level fusion was proposed to estimate the different kind model of the vehicle status. To verify the proposed strategies,the vehicle traveling posture evaluation system was established. The lane departure parameters and the relative distance parameters were studied in order to get the characterization of the vehicle traveling status information. The simulation results indicate that the adaptability and accuracy and the intelligence level of driving characterization estimation are significantly improved by using the pattern classification and decision technology of multi-source information fusion.

scholarly journals Innovative assessment scheme of navigation risk based on improved multi-source information fusion techniques

2018 ◽  
Vol 14 (4) ◽  
pp. 155014771877254
Author(s):  
Bo Li ◽  
Fuwen Pang
Keyword(s):  
Information Fusion ◽  
Time Complexity ◽  
Euclidean Distance ◽  
Evidence Theory ◽  
Classification Model ◽  
Support Vector ◽  
Source Information ◽  
Distance Ratio ◽  
Slack Variable ◽  
Nonlinear Support

To deal with highly time complexity and unstable assessments for conflicting evidences from various navigation factors, we put forward an innovative assessment scheme of navigation risk based on the improved multi-source information fusion techniques. Different from the existing studies, we first deduce the nonlinear support vector machine classification model for the general scenario. The slack variable is adaptively computed based on the Euclidean distance ratio. Considering the unsatisfactory characteristics of the standard Dempster–Shafer evidence theory, the optimal combination rule is derived step by step. What"s more, the lowly dimensional Kalman filter is applied to forecast the navigation risk. Simultaneously, the time complexity of each technique is analyzed. With respect to the vessel navigation risk, the assessment results are provided to indicate the reliability and efficiency of the proposed scheme.

A Network Security Situational Awareness Model Based on Information Fusion

2013 ◽  
Vol 846-847 ◽  
pp. 1632-1635
Author(s):  
Abasi
Keyword(s):  
Network Security ◽  
Information Fusion ◽  
Situational Awareness ◽  
Evidence Theory ◽  
Arma Model ◽  
Situational Factors ◽  
Source Information ◽  
Network Nodes ◽  
Model Based ◽  
The Future

Security situational awareness has become a hot topic in the area of network securityresearch in recent years. The existing security situational awareness methods are analyzed and compared in details, and thus a newnetwork security situational awareness model based on information fusion is proposed. This modelfuses multi-source information from a mass of logs by introducing the modified D-S evidence theory,gets the values of nodes security situational awareness by situational factors fusion using attacks threat,and vulnerability information which network nodes have and successful attacks depend on, computesthe value of network security situational awareness by nodes situation fusion using service informationof the network nodes, and draws the security-situation-graph of network. Then, it analyzes the timeseries of the computing results by ARMA model to forecast the future threat in network security.Finally an example of actual network datasets is given to validate the network security situationalawareness model and algorithm. The results show that this model and algorithm is more effective andaccurate than the existing security situational awareness methods.

scholarly journals A Multisource Situation Information Fusion Method Based on Dynamic Evidence Combination

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Jing Liu ◽  
ChaoWen Chang ◽  
Yuchen Zhang ◽  
Yongwei Wang
Keyword(s):  
Information Fusion ◽  
Detection Rate ◽  
Evidence Theory ◽  
Fusion Method ◽  
False Detection Rate ◽  
False Detection ◽  
Conflicting Evidence ◽  
Evidence Combination ◽  
Fusion Methods ◽  
Fusion Efficiency

To address the problems of fusion efficiency, detection rate (DR), and false detection rate (FDR) that are associated with existing information fusion methods, a multisource information fusion method featuring dynamic evidence combination based on layer clustering and improved evidence theory is proposed in this study. First, the original alerts are hierarchically clustered and conflicting evidence is eliminated. Then, dynamic evidence combination is applied to fuse the condensed alerts, thereby improving the efficiency and accuracy of the fusion. The experimental results show that the proposed method is superior to current fusion methods in terms of fusion efficiency, DR, and FDR.

Research Based on Information Fusion of Safety Risks Prediction and Control Management in Construction

2011 ◽  
Vol 480-481 ◽  
pp. 1502-1506
Author(s):  
Ping Zhao ◽  
Hu Zhang
Keyword(s):  
Information Fusion ◽  
Construction Projects ◽  
Evidence Theory ◽  
Construction Safety ◽  
Source Information ◽  
Accident Rate ◽  
Safety Risks ◽  
Prediction And Control ◽  
Hazard Sources ◽  
And Control

Safety risks management of safety potential information and hazard sources has been taken in Construction process. It is the most important measure to solve the current situation that safety accidents is frequent in Chinese Construction projects. The main reasons of frequent accidents were find out and the D-S evidence theory of multi-source information fusion method was used to reduce the accident rate in Construction safety in this paper. Through analyzing and predicting the engineering data and information in human, machine, environment and management four aspects in Construction, prediction model was built in Construction safety risks management, the possibility of dangerous and harmful level in the construction project can be known, preventive measures for specific situations were taken and promptly the safety state of the Construction will be ensured.

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