The proceedings contain 80 papers. The topics discussed include: novel nanoparticle detection method using electrochemical device based on anodic aluminum oxide nanopore membrane;study of control system for X-ray gene...
The proceedings contain 80 papers. The topics discussed include: novel nanoparticle detection method using electrochemical device based on anodic aluminum oxide nanopore membrane;study of control system for X-ray generator;fast algorithm for rotation and translation two-dimensional computed tomography accurate reconstruction;terahertz spectra applications in identification of illicit drugs using support vector machines;knowledge management performance evaluation based on triangular fuzzy number;SVD for enhanced explosives detection using NQR;the development of a novel SR-CT technique-originated equipment for microwave sintering;the influence of x-ray wavelength and the simulative human skin and muscle obstruction on the detection of human body-hidden drugs by non-intrusive X-ray diffraction method;a high isolation switching unit for MRI system;and research on coal mine gas sensor systems based on near infrared spectrum.
securityinformation and Event Management (SIEM) systems are essential for security experts in various daily tasks such as monitoring, anomaly detection, forensics, identifying indicators of compromises, threat huntin...
详细信息
An online diary study was conducted to investigate the experience of online security threats among Saudi young adults. Over a period of 30 days, 16 participants were asked to record up to three threats they recei...
详细信息
In response to the increasing ransomware threat, this study presents a novel detection system that combines parallel Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks. By leveraging Sysmo...
详细信息
A critical challenge lies in choosing the appropriate processing techniques to achieve optimal evaluation performance in machine learning algorithms for the 5G core data analysis in anomaly detection use case. In this...
详细信息
ISBN:
(数字)9798331520113
ISBN:
(纸本)9798331520120
A critical challenge lies in choosing the appropriate processing techniques to achieve optimal evaluation performance in machine learning algorithms for the 5G core data analysis in anomaly detection use case. In this work, we address this challenge by focusing on the comparative analysis of Machine Learning (ML) algorithms combined with data processing techniques for anomaly detection in 5G core networks. ML algorithms are promising for detecting such anomalies, but their performance heavily depends on the quality of the features used. This work highlights the importance of feature selection, demonstrating that by applying techniques such as Pearson’s correlation and dimensionality reduction (PCA and LDA), we can enhance the detection accuracy of various ML models. We evaluate eight ML algorithms using the 5GAD-2022 cybersecurity dataset and show that Random Forest achieves the best performance in terms of F1-score, AUC, and accuracy, regardless of the preprocessing techniques applied. The results suggest that meticulous feature selection can significantly enhance the algorithms’ effectiveness in detecting anomalies.
The broadband ultrasound attenuation (BUA) and the speed of sound (SOS) are usually measured to evaluate the bone density. However, as previous studies showed that the BUA is sensitive to repositioning and soft tissue...
详细信息
The broadband ultrasound attenuation (BUA) and the speed of sound (SOS) are usually measured to evaluate the bone density. However, as previous studies showed that the BUA is sensitive to repositioning and soft tissue, the reproducibility of measurement will be difficult to achieve. In our system, we used Net Delay Time (NDT) value, pressure detection and several signal-processing techniques to obtain the reproducibility. Through in-vivo examinations, the root-mean square coefficient of variation (CVRMS%) did not significantly change for SOS(about 0.4), BUA (about 2.2). Comparing with the results of other research, we found that the reproducibility of our system was better. (c) 2010 Published by Elsevier Ltd.
The conventional surface plasmons resonance(SPR) detection and the improved SPR detection were investigated, which were both based on the attenuated total reflection(ATR) geometry. The conventional detection system on...
详细信息
The conventional surface plasmons resonance(SPR) detection and the improved SPR detection were investigated, which were both based on the attenuated total reflection(ATR) geometry. The conventional detection system on Kretschmann configuration, can detect the dielectric constant changes of the medium near a metal film's surface by measuring the intensity changes of the reflected beam. The improved SPR detection in a prism-multilayer configuration, which formed the long-range surface plasmon polaritions(SPPs) mode, provided the substantial improvement of the sensitivity and contrast of the detection over the conventional method that is of great benefit to the applications in various fields. (c) 2010 Published by Elsevier Ltd.
Because traffic incident is the main cause of traffic congestion in Highway, traffic incident detection plays an important role in ITS. Based on the professional software VISSIM, we performed an experiment on incident...
详细信息
Because traffic incident is the main cause of traffic congestion in Highway, traffic incident detection plays an important role in ITS. Based on the professional software VISSIM, we performed an experiment on incident caused by traffic jam to obtain the original simulated data. We offered a way to deal and analyse the traffic prameters, then an updated automatic traffic incident detection method was proposed based on BP neural network. Simulation result shows that the new method has many advantages such as higher detection rate, lower false alarm rate and shorter mean detection time. (C) 2010 Published by Elsevier Ltd.
Based on lots of blasting vibration monitoring data, correlation analysis on blasting vibration velocity response spectrum S-R and blasting seismic waves with each signal characteristic, research that S-R has damage a...
详细信息
Based on lots of blasting vibration monitoring data, correlation analysis on blasting vibration velocity response spectrum S-R and blasting seismic waves with each signal characteristic, research that S-R has damage and associated influence on building structure vibration. Research found that S-R can reflect the values of the comprehensive effect of blasting vibration, and the dynamic characteristics of the influence of structural vibration. According to the research results, this paper puts forward with S-R as blasting vibration safety assessment criterion of new methods. (C) 2010 Published by Elsevier Ltd.
Because of increasingly demanding the electronic devices and circuits with the characteristics of reliability and real-time, a web-based and JTAG boundary scan design of remote automatic detection and fault diagnosis ...
详细信息
Because of increasingly demanding the electronic devices and circuits with the characteristics of reliability and real-time, a web-based and JTAG boundary scan design of remote automatic detection and fault diagnosis had been proposed, which can achieve the diagnosis and local reset of remote targets. The parallel interface connector module and JTAG test controller were selected to send the signal to the remote target for testing. The sample of single-chip and interconnection between the circuit modules were measured by the testing instruction, the results show that this design proposed by this paper has the advantages of practical, versatile, and wide application prospects. (C) 2010 Published by Elsevier Ltd.
暂无评论