Industrial Detection Efficiency Based on Automatic Industrial CT Detection System

In this paper, the elastic wave propagation method was used in damage detection in thin structures. The effectiveness and accuracy of the system based on the wave propagation phenomenon depend on the number and localization of the sensors. The utilization of the piezoelectric (PZT) transducers makes possible to build a low-cost damage detection system that can be used in structural health monitoring (SHM) of the metallic and composite structures. The different number and localization of transducers were considered in the numerical and experimental analysis of the wave propagation phenomenon. The relation of the sensors configuration and the damage detection capability was demonstrated. The main assumptions and requirements of SHM systems of different levels were discussed with reference to the damage detection expectations. The importance of the damage detection system constituents (sensors number, localization, or damage index) in different levels of analysis was verified and discussed to emphasize that in many practical applications introducing complicated procedures and sophisticated data processing techniques does not lead to improving the damage detection efficiency. Finally, the necessity of the appropriate formulation of SHM system requirements and expectations was underlined to improve the effectiveness of the detection methods in particular levels of analysis and thus to improve the safety of the monitored structures.

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Ship Target Automatic Detection Based on Hypercomplex Flourier Transform Saliency Model in High Spatial Resolution Remote-Sensing Images

Sensors ◽

10.3390/s20092536 ◽

2020 ◽

Vol 20 (9) ◽

pp. 2536 ◽

Cited By ~ 1

Author(s):

Jian He ◽

Yongfei Guo ◽

Hangfei Yuan

Keyword(s):

Remote Sensing ◽

Spatial Resolution ◽

Detection Efficiency ◽

Detection System ◽

Automatic Detection ◽

Sea Surface ◽

Detection Methods ◽

Remote Sensing Images ◽

Ship Detection ◽

Saliency Model

Efficient ship detection is essential to the strategies of commerce and military. However, traditional ship detection methods have low detection efficiency and poor reliability due to uncertain conditions of the sea surface, such as the atmosphere, illumination, clouds and islands. Hence, in this study, a novel ship target automatic detection system based on a modified hypercomplex Flourier transform (MHFT) saliency model is proposed for spatial resolution of remote-sensing images. The method first utilizes visual saliency theory to effectively suppress sea surface interference. Then we use OTSU methods to extract regions of interest. After obtaining the candidate ship target regions, we get the candidate target using a method of ship target recognition based on ResNet framework. This method has better accuracy and better performance for the recognition of ship targets than other methods. The experimental results show that the proposed method not only accurately and effectively recognizes ship targets, but also is suitable for spatial resolution of remote-sensing images with complex backgrounds.

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Distributed efficiency-based circular formation for the unmanned air vehicles detection system

Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering ◽

10.1177/0954410018793764 ◽

2018 ◽

Vol 233 (9) ◽

pp. 3223-3234 ◽

Cited By ~ 1

Author(s):

Hu Zilun ◽

Yang Jianying

Keyword(s):

Detection Efficiency ◽

Detection System ◽

Unmanned Air Vehicles ◽

Time Varying ◽

Performance Function ◽

Network Connection ◽

Vertical Takeoff And Landing ◽

Theoretical Results ◽

Vertical Takeoff ◽

Air Vehicles

This paper considers on the general circumnavigation problem for a team of vertical takeoff and landing unmanned air vehicles, with the goal of achieving specific circular formations and circling centered at a target of interest. Different from the traditional circular formation problem, in this paper, not only the formation but also the detection efficiency of the formation is taken into consideration. A novel distributed optimal circular formation algorithm is proposed. According to this algorithm, the circular formation can be guaranteed with the optimal radius that can optimize the team performance function. Hereon, the performance functions can be time-varying, and thus a time-varying optimal circular formation is created. Theoretical studies indicate that the proposed algorithm can achieve the formation in a distributed manner only based on the local information and the network connection. Finally, simulation examples are presented to show the validity of the theoretical results.

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Study on Intrusion Detection System Based on Data Mining

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.713-715.2499 ◽

2015 ◽

Vol 713-715 ◽

pp. 2499-2502

Author(s):

Jiang Kun Mao ◽

Fan Zhan

Keyword(s):

Data Mining ◽

Intrusion Detection ◽

Intrusion Detection System ◽

Clustering Algorithm ◽

Detection Efficiency ◽

Detection System ◽

Machine Learning Techniques ◽

Cluster Center ◽

Security Technology ◽

Learning Techniques

Intrusion detection system as a proactive network security technology, is necessary and reasonable to add a static defense. However, the traditional exceptions and errors detecting exist issues of leakage police, the false alarm rate or maintenance difficult. In this paper, The intrusion detection system based on data mining with statistics, machine learning techniques in the detection performance, robustness, self-adaptability has a great advantage. The system improves the K-means clustering algorithm, focus on solving two questions of the cluster center node selection and discriminating of clustering properties, the test shows that the system further enhance the detection efficiency of the system.

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Real Time In-situ Detection System Research for Methane in Offshore Shallow Gas based on Thin Film Interface

MATEC Web of Conferences ◽

10.1051/matecconf/201823204053 ◽

2018 ◽

Vol 232 ◽

pp. 04053

Author(s):

Cheng-xing Miao ◽

Qing Li ◽

Sheng-yao Jia

Keyword(s):

Real Time ◽

Detection Efficiency ◽

Detection System ◽

Detection Methods ◽

Shallow Gas ◽

Micro Gas Sensor ◽

Detection Probe ◽

On Line ◽

In Situ Detection

In order to get ridded of the non real-time detection methods of artificial site sampled and laboratory instrument analyzed in the field of methane detection in the offshore shallow gas, real-time in-situ detection system for methane in offshore shallow gas was designed by the film interface.The methane in the offshore shallow gas through the gas-liquid separation membrane of polymer permeation into the system internal detection probe, analog infrared micro gas sensor sensed the methane concentration and the corresponded output value, data acquisition and communication node fitted into standard gas concentration.Based on the experimental data compared with the traditional detection method, and further analyzed the causes of error produced by the case experiment. The application results show that the system can achieve a single borehole layout, long-term on-line in-situ on-line detection, and improve the detection efficiency and the timeliness of the detection data.

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High-Precision Noncontact Guided Wave Tomographic Imaging of Plate Structures Using a DHB Algorithm

Applied Sciences ◽

10.3390/app10124360 ◽

2020 ◽

Vol 10 (12) ◽

pp. 4360

Author(s):

Junpil Park ◽

Jaesun Lee ◽

Zong Le ◽

Younho Cho

Keyword(s):

Nuclear Power ◽

Power Plants ◽

Detection Efficiency ◽

Detection System ◽

Automatic Detection ◽

Guided Wave ◽

Direct Access ◽

Experimental Conditions ◽

Plate Structures ◽

Wide Range

The safety diagnostic inspection of large plate structures, such as nuclear power plant containment liner plates and aircraft wings, is an important issue directly related to the safety of life. This research intends to present a more quantitative defect imaging in the structural health monitoring (SHM) technique by using a wide range of diagnostic techniques using guided ultrasound. A noncontact detection system was applied to compensate for such difficulties because direct access inspection is not possible for high-temperature and massive areas such as nuclear power plants and aircraft. Noncontact systems use unstable pulse laser and air-coupled transducers. Automatic detection systems were built to increase inspection speed and precision and the signal was measured. In addition, a new Difference Hilbert Back Projection (DHB) algorithm that can replace the reconstruction algorithm for the probabilistic inspection of damage (RAPID) algorithm used for imaging defects has been successfully applied to quantitative imaging of plate structure defects. Using an automatic detection system, the precision and detection efficiency of data collection has been greatly improved, and the same results can be obtained by reducing errors in experimental conditions that can occur in repeated experiments. Defects were made in two specimens, and comparative analysis was performed to see if each algorithm can quantitatively represent defects in multiple defects. The new DHB algorithm presented the possibility of observing and predicting the growth direction of defects through the continuous monitoring system.

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Sensitivity and Detection Efficiency of a Novel Two-Step Detection System (PowerVision) for Immunohistochemistry

Applied Immunohistochemistry & Molecular Morphology ◽

10.1097/00129039-199909000-00005 ◽

1999 ◽

Vol 7 (3) ◽

pp. 201 ◽

Cited By ~ 20

Author(s):

Shan-Rong Shi ◽

James Guo ◽

Richard J. Cote ◽

Lillian L. Young ◽

Debra Hawes ◽

...

Keyword(s):

Detection Efficiency ◽

Detection System ◽

Step Detection

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Using response action with intelligent intrusion detection and prevention system against web application malware

Information Management & Computer Security ◽

10.1108/imcs-02-2013-0007 ◽

2014 ◽

Vol 22 (5) ◽

pp. 431-449 ◽

Cited By ~ 8

Author(s):

Ammar Alazab ◽

Michael Hobbs ◽

Jemal Abawajy ◽

Ansam Khraisat ◽

Mamoun Alazab

Keyword(s):

Intrusion Detection ◽

Intrusion Detection System ◽

Web Application ◽

Web Applications ◽

Detection Efficiency ◽

Detection System ◽

Content Type ◽

Novel Approach ◽

Prevention System ◽

Intrusion Detection And Prevention

Purpose – The purpose of this paper is to mitigate vulnerabilities in web applications, security detection and prevention are the most important mechanisms for security. However, most existing research focuses on how to prevent an attack at the web application layer, with less work dedicated to setting up a response action if a possible attack happened. Design/methodology/approach – A combination of a Signature-based Intrusion Detection System (SIDS) and an Anomaly-based Intrusion Detection System (AIDS), namely, the Intelligent Intrusion Detection and Prevention System (IIDPS). Findings – After evaluating the new system, a better result was generated in line with detection efficiency and the false alarm rate. This demonstrates the value of direct response action in an intrusion detection system. Research limitations/implications – Data limitation. Originality/value – The contributions of this paper are to first address the problem of web application vulnerabilities. Second, to propose a combination of an SIDS and an AIDS, namely, the IIDPS. Third, this paper presents a novel approach by connecting the IIDPS with a response action using fuzzy logic. Fourth, use the risk assessment to determine an appropriate response action against each attack event. Combining the system provides a better performance for the Intrusion Detection System, and makes the detection and prevention more effective.

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An LED-induced fluorescence detection system with integrated on-chip lens based on microfluidic chips technology/Ein LED-induziertes Fluoreszenzdetektionssystem mit integrierter „Lens-on-Chip“ basierend auf der mikrofluidischen Chiptechnologie

Photonics and Lasers in Medicine ◽

10.1515/plm-2012-0042 ◽

2013 ◽

Vol 2 (1) ◽

Cited By ~ 1

Author(s):

Yingying Zhao ◽

Qin Li ◽

Xiao-Ming Hu ◽

Dong-Fang Yang

Keyword(s):

Optical Fibers ◽

Detection Efficiency ◽

Detection System ◽

Research Work ◽

Coupling Efficiency ◽

Optical Excitation ◽

Optical Signal ◽

Microfluidic Chips ◽

Fluorescence Excitation ◽

On Chip

AbstractThe power density of optical excitation on microfluidic chips is attenuated due to the beam divergence of the optical fiber, making it difficult to collect either the emission or scattering light. The excitation power and coupling efficiency can be significantly increased by using an on-chip microlens system with integrated optical fibers, specially designed and simulated to reshape and collect the optical signal within the microfluidic chip.This article presents research work for designing, fabricating, and testing a type of on-chip microlens. The on-chip microlens was designed by Code VThe export light beam could be focused to a very small point to satisfy the requirements of the fluorescence excitation of samples. On the other hand, the detection efficiency could also be increased with the help of the on-chip microlens. The presented fabrication method does not require any assembly process or external driving force. To fabricate a microlens with a different focus, it is only necessary to change the figures on the mask. This technique can be used in a variety of applications as it is possible to produce customized microlens for specific applications.

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