In order to accurately and quickly identify the safety status pattern of coalmines,a new safety status pattern recognition method based on the extension neural network (ENN) was proposed,and the design of structure of...In order to accurately and quickly identify the safety status pattern of coalmines,a new safety status pattern recognition method based on the extension neural network (ENN) was proposed,and the design of structure of network,the rationale of recognition algorithm and the performance of proposed method were discussed in detail.The safety status pattern recognition problem of coalmines can be regard as a classification problem whose features are defined in a range,so using the ENN is most appropriate for this problem.The ENN-based recognition method can use a novel extension distance to measure the similarity between the object to be recognized and the class centers.To demonstrate the effectiveness of the proposed method,a real-world application on the geological safety status pattern recognition of coalmines was tested.Comparative experiments with existing method and other traditional ANN-based methods were conducted.The experimental results show that the proposed ENN-based recognition method can identify the safety status pattern of coalmines accurately with shorter learning time and simpler structure.The experimental results also confirm that the proposed method has a better performance in recognition accuracy,generalization ability and fault-tolerant ability,which are very useful in recognizing the safety status pattern in the process of coal production.展开更多
Key agreement and identification protocols are much applicable among current protocols in cryptography. These protocols are used for a secure communication through an insecure channel in a network like Internet. Chall...Key agreement and identification protocols are much applicable among current protocols in cryptography. These protocols are used for a secure communication through an insecure channel in a network like Internet. Challenge-response identification protocol is an important identification method. In this paper, by making some slight changes in the public-key-based challenge-response identification protocol, we have introduced a new scheme in which the users in addition to authenticating each other can also agree on multiple keys. Then, this protocol＇s security from both aspects regarding the identification and key agreement will be analyzed. At the end, we will prove our scheme has a high security and efficiency in comparison with some famous and similar protocols.展开更多
基金Project(107021) supported by the Key Foundation of Chinese Ministry of Education Project(2009643013) supported by China Scholarship Fund
文摘In order to accurately and quickly identify the safety status pattern of coalmines,a new safety status pattern recognition method based on the extension neural network (ENN) was proposed,and the design of structure of network,the rationale of recognition algorithm and the performance of proposed method were discussed in detail.The safety status pattern recognition problem of coalmines can be regard as a classification problem whose features are defined in a range,so using the ENN is most appropriate for this problem.The ENN-based recognition method can use a novel extension distance to measure the similarity between the object to be recognized and the class centers.To demonstrate the effectiveness of the proposed method,a real-world application on the geological safety status pattern recognition of coalmines was tested.Comparative experiments with existing method and other traditional ANN-based methods were conducted.The experimental results show that the proposed ENN-based recognition method can identify the safety status pattern of coalmines accurately with shorter learning time and simpler structure.The experimental results also confirm that the proposed method has a better performance in recognition accuracy,generalization ability and fault-tolerant ability,which are very useful in recognizing the safety status pattern in the process of coal production.
文摘Key agreement and identification protocols are much applicable among current protocols in cryptography. These protocols are used for a secure communication through an insecure channel in a network like Internet. Challenge-response identification protocol is an important identification method. In this paper, by making some slight changes in the public-key-based challenge-response identification protocol, we have introduced a new scheme in which the users in addition to authenticating each other can also agree on multiple keys. Then, this protocol＇s security from both aspects regarding the identification and key agreement will be analyzed. At the end, we will prove our scheme has a high security and efficiency in comparison with some famous and similar protocols.
