检索结果-内蒙古大学图书馆

algorithm development for acoustic emission measurement in high-frequency ranges and its application on a large two-stroke marine diesel engine

引用

measurement 2020年 162卷 107907-107907页

作者： Xuan Thin Dong Manh Hung Nguyen Lee, Donchool Vietnam Maritime Univ 484 Lach Tray St Hai Phong 180000 Vietnam Mokpo Natl Maritime Univ Marine Engn Div Dynam Lab 91 Haeyangdaehak Ro Mokpo 58628 South Korea

In this paper, an advance measuring algorithm was designed to measure acoustic emission (AE) signals in a high-frequency range based on a C-Sharp programming language for a large two-stroke marine diesel engine. To verify the ability of this algorithm, an experiment was carried out to investigate the characteristics of the AE signal caused by the combustion process on the large two-stroke low-speed marine diesel engine in the frequency range 100-900 kHz. The results showed that the AE signals emitted from the combustion event at around the top dead center could be well-observed in this frequency range. These outcomes also proved that the AE signal could not propagate to other cylinders due to a big distance between the cylinders. However, the combustion process affected the remaining AE sources. Moreover, this technique could be applied to detect the firing state as well as the combustion time of each cylinder. (C) 2020 Elsevier Ltd. All rights reserved.

关键词： Acoustic emission algorithm measurement Two-stroke marine diesel engine C-sharp programming language Vibration

来源：评论

学校读者我要写书评

暂无评论

Towards an Information-Theoretic Approach for Measuring Intelligent False Alarm Reduction in Intrusion Detection

Towards an Information-Theoretic Approach for Measuring Inte...

引用

12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

作者： Meng, Yuxin Kwok, Lam-For City Univ Hong Kong Dept Comp Sci Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9780769550220

False alarms are a big challenge for intrusion detection systems (IDSs). A lot of approaches, especially machine learning based schemes, have been proposed to mitigate this issue by filtering out these false alarms. But a fundamental problem is how to objectively evaluate an algorithm in terms of its ability to correctly identify false alarms and true alarms. To improve the utilization of various machine learning algorithms, intelligent false alarm reduction has been proposed that aims to select and apply an appropriate algorithm in an adaptive way. Traditional metrics (e. g., true positive rate, false positive rate) are mainly used in the algorithm selection and evaluation, however, no single metric seems sufficient and objective enough to measure the capability of an algorithm in reducing false alarms. The lack of an objective and single metric makes it difficult to further fine-tune and evaluate the performance of algorithms in reducing IDS false alarms. In this paper, we begin by describing the relationship between the process of intrusion detection and the process of false alarm detection (reduction). Then we provide an information-theoretic analysis of intelligent false alarm reduction and propose an objective and single metric to evaluate different algorithms in identifying IDS false alarms. We further evaluate our metric under three scenarios by comparing it with several existing metrics.

关键词： Intrusion Detection False Alarm Reduction algorithm measurement Information-Theoretic Metric

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：