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Cyber security meets artificial intelligence: a survey Review Article
Jian-hua LI
Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 12, Pages 1462-1474 doi: 10.1631/FITEE.1800573
There is a wide range of interdisciplinary intersections between cyber security and artificial intelligence (AI). On one hand, AI technologies, such as deep learning, can be introduced into cyber security to construct smart models for implementing malware classification and intrusion detection and threating intelligence sensing. On the other hand, AI models will face various cyber threats, which will disturb their sample, learning, and decisions. Thus, AI models need specific cyber security defense and protection technologies to combat adversarial machine learning, preserve privacy in machine learning, secure federated learning, etc. Based on the above two aspects, we review the intersection of AI and cyber security. First, we summarize existing research efforts in terms of combating cyber attacks using AI, including adopting traditional machine learning methods and existing deep learning solutions. Then, we analyze the counterattacks from which AI itself may suffer, dissect their characteristics, and classify the corresponding defense methods. Finally, from the aspects of constructing encrypted neural network and realizing a secure federated deep learning, we expatiate the existing research on how to build a secure AI system.
Keywords： Cyber security Artificial intelligence (AI) Attack detection Defensive techniques
Subway rail transit monitoring by built-in sensor platform of smartphone Research Articles
Jian-li Cong, Ming-yuan Gao, Yuan Wang, Rong Chen, Ping Wang,jlcong2019@my.swjtu.edu.cn,gaomingyuan@swu.edu.cn,wangy39@sustech.edu.cn,chenrong@home.swjtu.edu.cn,wping@home.swjtu.edu.cn
Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 8, Pages 1119-1266 doi: 10.1631/FITEE.1900242
Keywords： 加速度数据；智能监测；内置传感器；智能手机；地铁
Prognostics and Health Management of High-Speed Trains in China: Progress and Prospect
Wang Jun, Ding Rongjun
Strategic Study of CAE 2023, Volume 25, Issue 2, Pages 232-242 doi: 10.15302/J-SSCAE-2023.02.019
Higher requirements have been imposed for the safety and economical operation and maintenance (O&M) of high-speed trains as a result of increasing operating speed, number of train sets in service, and vehicle types as well as complex service conditions such as long routing and multi-physics coupling. The research and application of prognostics and health management (PHM) technology in the field of high-speed trains provides important technical support for the steady operation of China’s high-speed trains over long distance, on large scale, and in high density. This study presents the significance of PHM for high-speed trains and reviews the development process of high-speed train PHM in China, which has evolved from the initial safety monitoring to breakthroughs in health monitoring technologies of key systems and then the current integrated lifecycle O&M management in the past two decades. It further summarizes the major technical breakthroughs in four aspects, namely, comprehensive train condition monitoring, accurate assessment and diagnosis prediction, vehicle remote O&M services, and intelligent O&M decision support. In the face of the future challenges of efficient and safe O&M, substantial cost reduction, and consumption reduction of China’s high-speed trains, suggestions are proposed in the following aspects: wide-area and entire-process adaptability, centralized management and application of train data and computing resources, train design based on PHM, and train–line–station integrated intelligent O&M, so as to promote China’s high-speed train technology to maintain a lead.
Keywords： high-speed train prognostics and health management fault diagnosis and prediction intelligent operation and management train–line–station integration
Intelligent Monitoring System Based on Spatio–Temporal Data for Underground Space Infrastructure Review
Bowen Du, Junchen Ye, Hehua Zhu, Leilei Sun, Yanliang Du
Engineering 2023, Volume 25, Issue 6, Pages 194-203 doi: 10.1016/j.eng.2022.07.016
Intelligent sensing, mechanism understanding, and the deterioration forecasting based on spatio–temporal big data not only promote the safety of the infrastructure but also indicate the basic theory and key technology for the infrastructure construction to turn to intelligentization. The advancement of underground space utilization has led to the development of three characteristics (deep, big, and clustered) that help shape a tridimensional urban layout. However, compared to buildings and bridges overground, the diseases and degradation that occur underground are more insidious and difficult to identify. Numerous challenges during the construction and service periods remain. To address this gap, this paper summarizes the existing methods and evaluates their strong points and weak points based on real-world space safety management. The key scientific issues, as well as solutions, are discussed in a unified intelligent monitoring system.
Keywords： Structure health monitoring Underground space infrastructure Machine learning Spatio–temporal data
Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring Review
Billie F. Spencer Jr.,Vedhus Hoskere,Yasutaka Narazaki
Engineering 2019, Volume 5, Issue 2, Pages 199-222 doi: 10.1016/j.eng.2018.11.030
Computer vision techniques, in conjunction with acquisition through remote cameras and unmanned aerial vehicles (UAVs), offer promising non-contact solutions to civil infrastructure condition assessment. The ultimate goal of such a system is to automatically and robustly convert the image or video data into actionable information. This paper provides an overview of recent advances in computer vision techniques as they apply to the problem of civil infrastructure condition assessment. In particular, relevant research in the fields of computer vision, machine learning, and structural engineering are presented. The work reviewed is classified into two types: inspection applications and monitoring applications. The inspection applications reviewed include identifying context such as structural components, characterizing local and global visible damage, and detecting changes from a reference image. The monitoring applications discussed include static measurement of strain and displacement, as well as dynamic measurement of displacement for modal analysis. Subsequently, some of the key challenges that persist towards the goal of automated vision-based civil infrastructure and monitoring are presented. The paper concludes with ongoing work aimed at addressing some of these stated challenges.
Keywords： Structural inspection and monitoring Artificial intelligence Computer vision Machine learning Optical flow
A Real-time Monitoring Network and Fault Diagnosis Expert System for Compressors and Pumps
Gao Jinji
Strategic Study of CAE 2001, Volume 3, Issue 9, Pages 41-47
Using modern information technology and artificial intelligence to achieve the condition based maintenance and predictive maintenance is one of the important ways to reduce the production cost in the process industries. The real-time monitoring network and artificial intelligent diagnosis technology for mechanical-electric plant was outlined in this paper. The Ethernet and FDDI based real-time monitoring network developed for compressors and pumps in petrochemical plants was introduced briefly. The black-gray-white gathering diagnosis method was given for the first time on the bases of approach to fault mechanism and distinctive symptoms. The mechanical fault diagnosis expert system based on black-gray-white gathering distinguishing sieve method developed in this work yields satisfactory results in the engineering practice.
Keywords： plant diagnosis engineering real-time monitoring network artificial intelligent diagnosis first reason analysis method black-gray-white gathering sieving method
An intelligent IEQ monitoring and feedback system: Development and applications Article
Yang Geng,Zhongchen Zhang,Juan Yu,Hongzhong Chen,Hao Zhou,Borong Lin,Weimin Zhuang
Engineering 2022, Volume 18, Issue 11, Pages 218-231 doi: 10.1016/j.eng.2021.09.017
Indoor environmental quality (IEQ) significantly affects human health and wellbeing. Therefore, continuous IEQ monitoring and feedback is of great concern in both the industrial and academic communities. However, most existing studies only focus on developing sensors that cost-effectively promote IEQ measurement while ignoring interactions between the human side and IEQ monitoring. In this study, an intelligent IEQ monitoring and feedback system (IBEM) is developed. Firstly, the IBEM hardware instrument integrates air temperature, relative humidity, CO2, particulate matter with an aerodynamic diameter no greater than 2.5 μm (PM2.5), and illuminance sensors within a small device. The accuracy of this integrated device was tested through a co-location experiment with reference sensors; the device exhibited a strong correlation with the reference sensors, with a slight deviation (R2 > 0.97 and slopes between 1.01 and 1.05). Secondly, a wireless data transmission module, a cloud storage module, and graphical user interfaces (i.e., a web platform and mobile interface) were built to establish a pathway for dataflow and interactive feedback with the occupants of the indoor environments. Thus, the IEQ parameters can be continuously monitored with a high spatiotemporal resolution, interactive feedback can be induced, and synchronous data collection on occupant satisfaction and objective environmental parameters can be realized. IBEM has been widely applied in 131 buildings in 18 cities in China, with 1188 sample locations. Among these applications, we report on the targeted IEQ diagnoses of two individual buildings and the exploration of relationships between subjective and objective IEQ data in detail here. This work demonstrates the great value of IBEM in both industrial and academic research.
Keywords： Indoor environmental quality (IEQ) Sensors Continuous monitoring Graphical user interface Interactive feedback
Advances in Intellectualization of Transportation Infrastructures Review
Yanliang Du, Tinghua Yi, Xiaojun Li, Xiaoli Rong, Longjun Dong, Dawei Wang, Yang Gao, Zhen Leng
Engineering 2023, Volume 24, Issue 5, Pages 240-253 doi: 10.1016/j.eng.2023.01.011
Inspired by state-of-the-art material science, computer techniques, artificial intelligence, and automatic control, new-generation transportation infrastructures are becoming digitalized and intelligent. Many major developed countries around the globe are actively promoting the application of innovative intelligence-based technologies in transportation infrastructures in accordance with local conditions. This review begins with a brief discussion on the basic definition, scientific foundation, and development process for the intellectualization of transportation infrastructures. Then, following the whole life-cycle chain of design, construction, operational maintenance, and elimination, the current research status and major challenges presented by intellectualization technologies are systematically investigated. Subsequently, recent achievements in intellectual technologies are comprehensively presented by selecting the Beijing–Zhangjiakou High-Speed Railway—the world's first railway built based on the concept of intelligent construction—as an example. Finally, a discussion on the future development of the intellectualization of transportation infrastructures is provided from the three dimensions of standard systems, theoretical methods, and talent training.
Keywords： Intellectualization Transportation infrastructures Optimal design Automatic construction Structural health monitoring Structural elimination
Yang Wenguang and Jiang Dongxiang
Strategic Study of CAE 2015, Volume 17, Issue 3, Pages 24-29
This paper researched the key technology of remote intelligent condition monitoring and diagnostic system for wind turbines, and described the development details of a system. The system, adopted the distributed architecture, consisted of four subsystems, which were the data acquisition subsystem, the real time data storage subsystem, the intelligent monitoring and diagnosis subsystem and the user interface subsystem. The intelligent monitoring and diagnosis subsystem used the knowledge base/inference engine structure. An advanced fuzzy expert system is developed for inference engine, and the vibration fault diagnosis rules for wind turbine is stored in the knowledge base. The effectiveness of the system is verified by diagnosing simulated wind turbine faults.
Keywords： wind turbine diagnostic system fuzzy expert system
Microseismic monitoring technology development direction and application
Liu Jianzhong,Tang Chunhua,Zuo Jianjun
Strategic Study of CAE 2013, Volume 15, Issue 10, Pages 54-58
This paper discussed the development direction of microseismic monitoring technology, pointed out that improve the quality of microseismic monitoring system, reduce the front end noise of the instrument, record more and smaller microseismic, tamp the theoretical foundation of microseismic monitoring, and increase the number of microseismic monitoring stations so as to obtain more information that can be compared are important directions for the development of microseismic technology. The introduction of conventional seismic exploration theory can also increase the level of microseismic monitoring, and form complete theory of microseismic. Above are important directions of microseismic monitoring technology development. With the development of technology, microseismic monitoring technology can also be used in seismic exploration and safety prediction of mine, reservoir besides oilfield fracturing and water monitoring.
Keywords： microseismic monitoring seismic prospecting fracturing monitoring water monitoring
Lifecycle Management and Maintenance of Marine Bridge Engineering
Liu Muyu, Liang Lei, Wu Hao, Xu Gang, Li Qian
Strategic Study of CAE 2019, Volume 21, Issue 3, Pages 25-30 doi: 10.15302/J-SSCAE-2019.03.013
Marine bridge engineering in China is continuously developing to the offshore, deep-sea, long-distance, and large-scale directions. However, due to its harsh natural environment and complex geological and loading conditions, there still exist many problems in health monitoring, measurement technology, inspection technology, and maintenance-management for the lifecycle of marine bridge engineering. Therefore, after summarizing the existing problems in lifecycle management and maintenance of bridges, this paper proposes several key technologies for marine bridge development, including health monitoring based on multi-parameter, high-reliability, large-capacity, and long-distance optical-fiber sensing; space–air–ground–sea integrated measurement; automated inspection; and intelligent management and maintenance platforms. Meanwhile, this paper studies the difficulties and development directions of these technologies, and explores development strategies and recommendations for the lifecycle management and maintenance technology of marine bridge engineering, thereby providing technical support for the construction and operation safety of marine bridge engineering.
Keywords： marine bridge engineering lifecycle management health monitoring automated inspection engineering mapping intelligent maintenance
Technical Analysis and Construction of National Lightning Detecting Network
Xu Xiaofeng
Strategic Study of CAE 2002, Volume 4, Issue 5, Pages 7-13
Lightning is a natural phenomenon that seriously affects the natural environment and human activities. Therefore, it is of important social, economical and scientific value to detect the lightning effectively. Comparing with the developed countries, China has some gaps in the fields of lightning studying, forecasting and detecting. In this article, the mechanism of lightning and its influence are described. The present situation and the direction of lightning detecting technology at home and abroad are also analyzed. Several suggestions and issues have been proposed for constructing the national lightning detecting network.
Keywords： lightning detecting technical analysis system construction
Research and Implementations of Structural Monitoring for Bridges and Buildings in Japan—A Review Review
Yozo Fujino, Dionysius M. Siringoringo, Yoshiki Ikeda, Tomonori Nagayama, Tsukasa Mizutani
Engineering 2019, Volume 5, Issue 6, Pages 1093-1119 doi: 10.1016/j.eng.2019.09.006
This paper provides a review on the development of structural monitoring in Japan, with an emphasis on the type, strategy, and utilization of monitoring systems. The review focuses on bridge and building structures using vibration-based techniques. Structural monitoring systems in Japan historically started with the objective of evaluating structural responses against extreme events. In the development of structural monitoring, monitoring systems and collected data were used to verify design assumptions, update specifications, and facilitate the efficacy of vibration control systems. Strategies and case studies on monitoring for the design verification of long-span bridges and tall buildings, the performance of seismic isolation systems in building and bridges, the verification of structural retrofit, the verification of structural control systems (passive, semiactive, and active), structural assessment, and damage detection are described. More recently, the application
of monitoring systems has been extended to facilitate efficient operation and effective maintenance through the rationalization of risk and asset management using monitoring data. This paper also summarizes the lessons learned and feedback obtained from case studies on the structural monitoring of bridges and buildings in Japan.
Keywords： Structural monitoring Long-span bridge High-rise building Seismic monitoring Wind-induced responses Pavement and slab monitoring Structural control monitoring Structural assessment
Research on Reservoir-induced Earthquake Monitoring in Three Gorges Area
Hu Xiange,Qin Xiaojun
Strategic Study of CAE 2003, Volume 5, Issue 11, Pages 71-74
A high dam with 185 meter above sea level will be built for the Three Gorges reservoir, which will accommodate water of 39.3 billion cubic meters in maximum and its impoundment will reach up to 175 meters in height. The local stress status, medium propriety and regional stress field in and around the reservoir will vary with the impounding and water fluctuation in the reservoir which will probably induce seismicity. In order to detect crustal deformation, tectonic fault displacement, sink of reservoir basin in the area and reservoir-induced seismicity, a monitoring system is set up. The paper introduces the study on monitoring in Three Gorges, of the Yangtze River.
Keywords： Three Gorges Project earthquake monitoring
Microseismic monitoring technology
Tang Chunhua,Gu Guangqing
Strategic Study of CAE 2012, Volume 14, Issue 4, Pages 95-99
Microseismic (MS) monitoring is a hot topic in the applied geophysics recently. The MS mechanism and histories are introduced firstly in this article, and then the instruction of the MS equipment such as acquisition strategies, optimal sensors, array design, digital-signal processing, event location, velocity calibration, and monitoring deployment, is discussed. MS is a great technology with a long future, and we need to foster the understanding and acceptance of this technology.
Keywords： microseismic monitoring hydraulic fracturing oil and natural gas SNR (signal to noise ratio) event location
Title Author Date Type Operation
Subway rail transit monitoring by built-in sensor platform of smartphone
Jian-li Cong, Ming-yuan Gao, Yuan Wang, Rong Chen, Ping Wang,jlcong2019@my.swjtu.edu.cn,gaomingyuan@swu.edu.cn,wangy39@sustech.edu.cn,chenrong@home.swjtu.edu.cn,wping@home.swjtu.edu.cn
Journal Article
Prognostics and Health Management of High-Speed Trains in China: Progress and Prospect
Wang Jun, Ding Rongjun
Journal Article
Intelligent Monitoring System Based on Spatio–Temporal Data for Underground Space Infrastructure
Bowen Du, Junchen Ye, Hehua Zhu, Leilei Sun, Yanliang Du
Journal Article
Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring
Billie F. Spencer Jr.,Vedhus Hoskere,Yasutaka Narazaki
Journal Article
A Real-time Monitoring Network and Fault Diagnosis Expert System for Compressors and Pumps
Gao Jinji
Journal Article
An intelligent IEQ monitoring and feedback system: Development and applications
Yang Geng,Zhongchen Zhang,Juan Yu,Hongzhong Chen,Hao Zhou,Borong Lin,Weimin Zhuang
Journal Article
Advances in Intellectualization of Transportation Infrastructures
Yanliang Du, Tinghua Yi, Xiaojun Li, Xiaoli Rong, Longjun Dong, Dawei Wang, Yang Gao, Zhen Leng
Journal Article
The design and implementation of remote intelligent condition monitoring and diagnostic system for wind turbines
Yang Wenguang and Jiang Dongxiang
Journal Article
Microseismic monitoring technology development direction and application
Liu Jianzhong,Tang Chunhua,Zuo Jianjun
Journal Article
Lifecycle Management and Maintenance of Marine Bridge Engineering
Liu Muyu, Liang Lei, Wu Hao, Xu Gang, Li Qian
Journal Article
Technical Analysis and Construction of National Lightning Detecting Network
Xu Xiaofeng
Journal Article
Research and Implementations of Structural Monitoring for Bridges and Buildings in Japan—A Review
Yozo Fujino, Dionysius M. Siringoringo, Yoshiki Ikeda, Tomonori Nagayama, Tsukasa Mizutani
Journal Article
Research on Reservoir-induced Earthquake Monitoring in Three Gorges Area
Hu Xiange,Qin Xiaojun
Journal Article
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