Assist. Prof. Dr. Yan Yu

University: Harbin Normal University
Department: Institute of Computer Science and Information Engineering
Research Fields: Computer Applications

Publications

2 CdS Quantum Dots as Fluorescent Probes for Detection of Naphthalene

Authors: Yan Yu, Zhengyu Yan, Jianqiu Chen

Abstract:

A novel sensing system has been designed for naphthalene detection based on the quenched fluorescence signal of CdS quantum dots. The fluorescence intensity of the system reduced significantly after adding CdS quantum dots to the water pollution model because of the fluorescent static quenching f mechanism. Herein, we have demonstrated the facile methodology can offer a convenient and low analysis cost with the recovery rate as 97.43%-103.2%, which has potential application prospect.

Keywords: Modification, Detection, CdS quantum dots, naphthalene

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1 Research on Hybrid Neural Network in Intrusion Detection System

Authors: Yan Yu, Jianhua Wang

Abstract:

This paper presents an intrusion detection system of hybrid neural network model based on RBF and Elman. It is used for anomaly detection and misuse detection. This model has the memory function .It can detect discrete and related aggressive behavior effectively. RBF network is a real-time pattern classifier, and Elman network achieves the memory ability for former event. Based on the hybrid model intrusion detection system uses DARPA data set to do test evaluation. It uses ROC curve to display the test result intuitively. After the experiment it proves this hybrid model intrusion detection system can effectively improve the detection rate, and reduce the rate of false alarm and fail.

Keywords: Anomaly Detection, RBF, misuse detection, Elman, hybrid neural network

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Abstracts

1 CdS Quantum Dots as Fluorescent Probes for Detection of Naphthalene

Authors: Yan Yu, Zhengyu Yan, Jianqiu Chen

Abstract:

A novel sensing system has been designed for naphthalene detection based on the quenched fluorescence signal of CdS quantum dots. The fluorescence intensity of the system reduced significantly after adding CdS quantum dots to the water pollution model because of the fluorescent static quenching f mechanism. Herein, we have demonstrated the facile methodology can offer a convenient and low analysis cost with the recovery rate as 97.43%-103.2%, which has potential application prospect.

Keywords: Modification, Detection, CdS quantum dots, naphthalene

Procedia PDF Downloads 339