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AED-Net: An Abnormal Event Detection Network Article

Tian Wang, Zichen Miao, Yuxin Chen, Yi Zhou, Guangcun Shan, Hichem Snoussi

Engineering 2019, Volume 5, Issue 5,   Pages 930-939 doi: 10.1016/j.eng.2019.02.008

Abstract: In this paper, a self-supervised framework called the abnormal event detection network (AED-Net), whichis composed of a principal component analysis network (PCAnet) and kernel principal component analysisExperiments in global and local abnormal event detection are carried out on Monitoring Human Activitydataset from University of Minnesota (UMN dataset) and Anomaly Detection dataset from University of

Keywords： Abnormal events detection     Abnormal event detection network     Principal component analysis network     Kernel    

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A systematic approach to ON-OFF event detection and clustering analysis of non-intrusive appliance load

Chuan Choong YANG,Chit Siang SOH,Vooi Voon YAP

Frontiers in Energy 2015, Volume 9, Issue 2,   Pages 231-237 doi: 10.1007/s11708-015-0358-6

Abstract: In this paper, a systematic approach to ON-OFF event detection and clustering analysis for NIALM weredetection algorithm.The event detection algorithm is to determine the switching of ON and OFF status of electrical appliancesThe goodness-of-fit (GOF) methodology is the event detection algorithm implemented.After event detection, the events detected were paired into ON-OFF pairing appliances.

Keywords： non-intrusive appliance load monitoring     event detection     goodness-of-fit (GOF)     K-means clustering    

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A knowledge reasoning Fuzzy-Bayesian network for root cause analysis of abnormal aluminum electrolysis

Weichao Yue, Xiaofang Chen, Weihua Gui, Yongfang Xie, Hongliang Zhang

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 3,   Pages 414-428 doi: 10.1007/s11705-017-1663-x

Abstract: Root cause analysis (RCA) of abnormal aluminum electrolysis cell condition has long been a challengingIn addition, accurate RCA of abnormal aluminum electrolysis cell condition is the precondition of improvingRCA of abnormal condition is a complex work of multi-source knowledge fusion, which is difficult to ensureIn view of this, a method based on Fuzzy-Bayesian network to construct multi-source knowledge solidificationThe proposed method was verified under 20 sets of abnormal cell conditions, and implements root cause

Keywords： abnormal aluminum electrolysis cell condition     Fuzzy-Bayesian network     multi-source knowledge solidification    

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Quantitative Investigation of Tomographic Effects in Abnormal Regions of Complex Structures Article

Longjun Dong, Xiaojie Tong, Ju Ma

Engineering 2021, Volume 7, Issue 7,   Pages 1011-1022 doi: 10.1016/j.eng.2020.06.021

Abstract:

The detection of abnormal regions in complex structures is one of the most challenging targets forimaging of abnormal regions to be accurate, intuitive, and quantitative.By varying individual parameters (i.e., prior model, sensor configuration, ray coverage, event distributions, and event location errors), 37 comparative tests were conducted.in abnormal regions.

Keywords： Detection of abnormal regions     Tomographic effects     Wave velocity     Ray path    

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Machine vision-based automatic fruit quality detection and grading

Frontiers of Agricultural Science and Engineering doi: 10.15302/J-FASE-2023532

Abstract:

● A machine vision-based prototype system was developed for fruit grading.

Keywords： Computer and machine vision     convolution neural network     deep learning     defective fruit detection     fruit    

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Hybrid intelligent water drop bundled wavelet neural network to solve the islanding detection by inverter-based

Mehrdad TARAFDAR HAGH,Homayoun EBRAHIMIAN,Noradin GHADIMI

Frontiers in Energy 2015, Volume 9, Issue 1,   Pages 75-90 doi: 10.1007/s11708-014-0337-3

Abstract: In this paper, a passive neuro-wavelet based islanding detection technique for grid-connected inverter-basedThe weight parameters of the neural network were optimized by intelligent water drop (IWD) to improveConnecting distributed generator to the distribution network has many benefits such as increasing theIn passive schemes with a large non-detection zone (NDZ), concern has been raised on active method dueThe simulation results from Matlab/Simulink shows that the proposed method has a small non-detection

Keywords： islanding detection     neuro-wavelet     intelligent water drop (IWD)     non-detection zone (NDZ)     distributed generation    

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BUEES: a bottom-up event extraction system

Xiao DING,Bing QIN,Ting LIU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 7,   Pages 541-552 doi: 10.1631/FITEE.1400405

Abstract: Traditional event extraction systems focus mainly on event type identification and event participantHowever, different domains have different event type paradigms.This kind of conventional event extraction system requires massive human effort, and hence prevents eventSubsequently, the system extracts event arguments according to these patterns.extraction system, i.e., a supervised event extraction system.

Keywords： Event extraction     Unsupervised learning     Bottom-up    

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A deep feed-forward neural network for damage detection in functionally graded carbon nanotube-reinforced

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 6,   Pages 1453-1479 doi: 10.1007/s11709-021-0767-z

Abstract: This paper proposes a new Deep Feed-forward Neural Network (DFNN) approach for damage detection in functionallyA trial-and-error procedure is implemented to determine suitable parameters of the network such as theObtained results indicate that the proposed DFNN model is able to give sufficiently accurate damage detection

Keywords： damage detection     deep feed-forward neural networks     functionally graded carbon nanotube-reinforced composite    

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Research progress on FASN and MGLL in the regulation of abnormal lipid metabolism and the relationship

Jingyue Zhang, Yawen Song, Qianqian Shi, Li Fu

Frontiers of Medicine 2021, Volume 15, Issue 5,   Pages 649-656 doi: 10.1007/s11684-021-0830-0

Abstract: Tumorigenesis involves metabolic reprogramming and abnormal lipid metabolism, which is manifested byThis article introduces the structures and functions of FASN and MGLL, their relationship with abnormal

Keywords： FASN     MGLL     lipid metabolism     tumor invasion     metastasis    

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Discrete-event stochastic systems with correlated inputs: Modeling and performance evaluation

Frontiers of Engineering Management 2022, Volume 9, Issue 2,   Pages 214-220 doi: 10.1007/s42524-022-0192-6

Abstract: In the majority of the previous works on discrete-event stochastic systems, they have been assumed toprocesses, and we discuss the difficulties and possible future research topics in the study of discrete-event

Keywords： discrete-event stochastic system     correlated input     performance evaluation    

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Generative adversarial network based novelty detection usingminimized reconstruction error Article

Huan-gang WANG, Xin LI, Tao ZHANG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 1,   Pages 116-125 doi: 10.1631/FITEE.1700786

Abstract: Generative adversarial network (GAN) is the most exciting machine learning breakthrough in recent yearsIn this paper, we introduce and investigate the use of GAN for novelty detection.The proposed GAN-based novelty detection method demonstrates a competitive performance on the MNIST digitdatabase and the Tennessee Eastman (TE) benchmark process compared with the PCA-based novelty detection

Keywords： Generative adversarial network (GAN)     Novelty detection     Tennessee Eastman (TE) process    

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Identification of abnormal operating conditions and intelligent decision system

Xiuliang LI, Junjie JIANG, Hongye SU, Jian CHU

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 4,   Pages 456-462 doi: 10.1007/s11465-011-0224-0

Abstract: flow state” is difficult to form using the soil dug in the capsule because it can cause three abnormalThese abnormal operating conditions can, in turn, trigger failure in tunneling, cutter-device damage,This present paper effectively integrates the mechanism of abnormal operating conditions and knowledgeof soil conditioning, and establishes a uniform model of identifying abnormal conditions and intelligent

Keywords： earth pressure balance (EPB) shield machine     soil pressure cabin     abnormal operating condition     belief rule-base    

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Multistage analysis method for detection of effective herb prescription from clinical data

Kuo Yang, Runshun Zhang, Liyun He, Yubing Li, Wenwen Liu, Changhe Yu, Yanhong Zhang, Xinlong Li, Yan Liu, Weiming Xu, Xuezhong Zhou, Baoyan Liu

Frontiers of Medicine 2018, Volume 12, Issue 2,   Pages 206-217 doi: 10.1007/s11684-017-0525-8

Abstract: In this study, a multistage analysis method that integrates propensity case matching, complex networkThen, core network extraction and herb set enrichment were combined to detect core effective herb prescriptions

Keywords： effective prescription detection     herb set enrichment analysis     core network extraction     insomnia     personalized    

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Detection and localization of cyber attacks on water treatment systems: an entropy-based approach Research Article

Ke LIU, Mufeng WANG, Rongkuan MA, Zhenyong ZHANG, Qiang WEI,bendawang@gmail.com,csewmf@zju.edu.cn,rongkuan233@gmail.com,zhangzhenyong@zju.edu.cn,funnywei@163.com

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 4,   Pages 587-603 doi: 10.1631/FITEE.2000546

Abstract: the varied WTS operating conditions, there is a high false-positive rate with a static threshold for detectionunder two attack scenarios with a total of 36 attacks, showing that the proposed methods achieved a detection

Keywords： Industrial cyber-physical system     Water treatment system     Intrusion detection     Abnormal state     Detection    

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Feedback linearization based control for weak grid connected PV system under normal and abnormal conditions

Rahul SHARMA,Sathans SUHAG

Frontiers in Energy 2020, Volume 14, Issue 2,   Pages 400-409 doi: 10.1007/s11708-017-0459-5

Abstract: This paper proposes a control strategy for interface of distributed energy sources into the weak grid system with a focus on the energy and ancillary services. A novel controller has been designed and implemented to tackle the challenges of coupling terms in the LCL filter, the transient behavior under sudden changes, and the voltage support under fault condition using the feedback linearization technique. The controller proposed has been implemented on the PV system connected with the weak grid using the LCL filter and the performance of the controller has been verified using Matlab/Simulink through simulation under different conditions. The results of the controller proposed have been compared with the conventional PI dual loop controller. The simulation results obtained demonstrate the effectiveness and simplicity of the controller design strategy.

Keywords： PV system     grid interface     feedback linearization     inverter     LCL filter    

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Title Author Date Type Operation

AED-Net: An Abnormal Event Detection Network

Tian Wang, Zichen Miao, Yuxin Chen, Yi Zhou, Guangcun Shan, Hichem Snoussi

Journal Article

A systematic approach to ON-OFF event detection and clustering analysis of non-intrusive appliance load

Chuan Choong YANG,Chit Siang SOH,Vooi Voon YAP

Journal Article

A knowledge reasoning Fuzzy-Bayesian network for root cause analysis of abnormal aluminum electrolysis

Weichao Yue, Xiaofang Chen, Weihua Gui, Yongfang Xie, Hongliang Zhang

Journal Article

Quantitative Investigation of Tomographic Effects in Abnormal Regions of Complex Structures

Longjun Dong, Xiaojie Tong, Ju Ma

Journal Article

Machine vision-based automatic fruit quality detection and grading

Journal Article

Hybrid intelligent water drop bundled wavelet neural network to solve the islanding detection by inverter-based

Mehrdad TARAFDAR HAGH,Homayoun EBRAHIMIAN,Noradin GHADIMI

Journal Article

BUEES: a bottom-up event extraction system

Xiao DING,Bing QIN,Ting LIU

Journal Article

A deep feed-forward neural network for damage detection in functionally graded carbon nanotube-reinforced

Journal Article

Research progress on FASN and MGLL in the regulation of abnormal lipid metabolism and the relationship

Jingyue Zhang, Yawen Song, Qianqian Shi, Li Fu

Journal Article

Discrete-event stochastic systems with correlated inputs: Modeling and performance evaluation

Journal Article

Generative adversarial network based novelty detection usingminimized reconstruction error

Huan-gang WANG, Xin LI, Tao ZHANG

Journal Article

Identification of abnormal operating conditions and intelligent decision system

Xiuliang LI, Junjie JIANG, Hongye SU, Jian CHU

Journal Article

Multistage analysis method for detection of effective herb prescription from clinical data

Kuo Yang, Runshun Zhang, Liyun He, Yubing Li, Wenwen Liu, Changhe Yu, Yanhong Zhang, Xinlong Li, Yan Liu, Weiming Xu, Xuezhong Zhou, Baoyan Liu

Journal Article

Detection and localization of cyber attacks on water treatment systems: an entropy-based approach

Ke LIU, Mufeng WANG, Rongkuan MA, Zhenyong ZHANG, Qiang WEI,bendawang@gmail.com,csewmf@zju.edu.cn,rongkuan233@gmail.com,zhangzhenyong@zju.edu.cn,funnywei@163.com

Journal Article

Feedback linearization based control for weak grid connected PV system under normal and abnormal conditions

Rahul SHARMA,Sathans SUHAG

Journal Article