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Advancing Autoencoder Architectures for Enhanced Anomaly Detection in Multivariate Industrial Time Series

Computers, Materials & Continua 2024年第10期81卷 1275-1300页

作者： Byeongcheon Lee Sangmin Kim Muazzam Maqsood jihoon moon Seungmin Rho Department of Security Convergence Chung-Ang UniversitySeoul06974Republic of Korea Department of Computer Science COMSATS University IslamabadAttock CampusAttock43600Pakistan Department of AI and Big Data Soonchunhyang UniversityAsan31538Republic of Korea Department of Industrial Security Chung-Ang UniversitySeoul06974Republic of Korea

In the context of rapid digitization in industrial environments,how effective are advanced unsupervised learning models,particularly hybrid autoencoder models,at detecting anomalies in industrial control system(ICS)datasets?This study is crucial because it addresses the challenge of identifying rare and complex anomalous patterns in the vast amounts of time series data generated by Internet of Things(IoT)devices,which can significantly improve the reliability and safety of these *** this paper,we propose a hybrid autoencoder model,called ConvBiLSTMAE,which combines convolutional neural network(CNN)and bidirectional long short-term memory(BiLSTM)to more effectively train complex temporal data patterns in anomaly *** the hardware-in-the-loopbased extended industrial control system dataset,the ConvBiLSTM-AE model demonstrated remarkable anomaly detection performance,achieving F1 scores of 0.78 and 0.41 for the first and second datasets,*** results suggest that hybrid autoencoder models are not only viable,but potentially superior alternatives for unsupervised anomaly detection in complex industrial systems,offering a promising approach to improving their reliability and safety.

关键词： Advanced anomaly detection autoencoder innovations unsupervised learning industrial security multivariate time series analysis

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A Smart Heart Disease Diagnostic System Using Deep Vanilla LSTM

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Computers, Materials & Continua 2023年第10期77卷 1251-1279页

作者： Maryam Bukhari Sadaf Yasmin Sheneela Naz Mehr Yahya Durrani Mubashir Javaid jihoon moon Seungmin Rho Department of Computer Science COMSATS University IslamabadAttock CampusAttockPakistan Department of Computer Science COMSATS University IslamabadIslamabadPakistan Department of Computer Science UET TaxilaTaxilaPakistan Department of AI and Big Data Soonchunhyang UniversityAsanKorea Department of Industrial Security Chung-Ang UniversitySeoul06974Korea

Effective smart healthcare frameworks contain novel and emerging solutions for remote disease diagnostics,which aid in the prevention of several diseases including heart-related *** this context,regular monitoring of cardiac patients through smart healthcare systems based on Electrocardiogram(ECG)signals has the potential to save many *** existing studies,several heart disease diagnostic systems are proposed by employing different state-of-the-art methods,however,improving such methods is always an intriguing area of ***,in this research,a smart healthcare system is proposed for the diagnosis of heart disease using ECG *** proposed framework extracts both linear and time-series information on the ECG signals and fuses them into a single framework *** linear characteristics of ECG signals are extracted by convolution layers followed by Gaussian Error Linear Units(GeLu)and time series characteristics of ECG beats are extracted by Vanilla Long Short-Term Memory Networks(LSTM).Following on,the feature reduction of linear information is done with the help of ID Generalized Gated Pooling(GGP).In addition,data misbalancing issues are also addressed with the help of the Synthetic Minority Oversampling Technique(SMOTE).The performance assessment of the proposed model is done over the two publicly available datasets named MIT-BIH arrhythmia database(MITDB)and PTB Diagnostic ECG database(PTBDB).The proposed framework achieves an average accuracy performance of 99.14%along with a 95%recall value.

关键词： Smart systems deep learning ECG signals heart disease concurrent learning LSTM generalized gated pooling

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Immersion Analysis Through Eye-Tracking and Audio in Virtual Reality

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Computers, Materials & Continua 2021年第10期69卷 647-660页

作者： jihoon Lee Nammee moon Department of Computer Science Hoseo UniversityAsan-si31499Korea

In this study,using Head Mounted Display(HMD),which is one of the biggest advantage of Virtual Reality(VR)environment,tracks the user’s gaze in 360◦video content,and examines how the gaze pattern is distributed according to the user’s *** a result of analyzing the gaze pattern distribution of contents with high user immersion and contents with low user immersion through a questionnaire,it was confirmed that the higher the immersion,the more the gaze distribution tends to be concentrated in the center of the *** this experiment,we were able to understand the factors that make users immerse themselves in the VR environment,and among them,the importance of the audio of the content was ***,it was found that the shape of the gaze distribution for grasping the degree of immersion by the subject of the content was *** reviewing the experimental results,we also confirmed the necessity of research to recognize specific objects in a VR environment.

关键词： Virtual reality eye-tracking immersion analysis 360◦video

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Post-Translational Regulation of FLOWERING LOCUS T Protein in Arabidopsis

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Molecular Plant 2016年第2期9卷 308-311页

作者： Soo-Jin Kim SungMyun Hong SeongJeon Yoo Suhyun moon HyeSeung Jung jihoon Ahn Creative Research Initiatives Department of Life Sciences Korea University Seoul 136-701 Korea

Dear Editor,Here, we report the developmental regulation of proteolytic cleavage of the FLOWERING LOCUS T （FT） protein. FT, a mem- ber of the phosphatidylethanolamine-binding protein （PEBP） family, functions as a florigen or a component of florigen. PEBP binds phosphoethanolamine, and its ligand-binding domain is evolutionarily conserved from bacteria to plants and animals （Schoentgen and Jolles, 1995; Bradley et al., 1996）. PEBPs regulate important signaling pathways to control growth and differentiation （Chautard et al., 2004）. Some animal PEBP homologs undergo post-translational regulation. For example,

关键词： ARABIDOPSIS PROTEINS PROTEOLYSIS

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