Intelligent early structural health prognosis with nonlinear system identification for RFID signal analysis

Chen, Hanxin; Chen, Yongting; Yang, Liu

doi:10.1016/j.comcom.2020.04.026

Cited by 48 publications

(34 citation statements)

References 27 publications

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“…It has the characteristics of fast scanning, small size, diversified shape, ability and durability, reusable, penetrating and barrier free reading, large capacity of data memory, high security and confidentiality. The main advantage of RFID system is no contact identification and fast reading speed, which can be used for interactive business such as process tracking [33].…”

Section: B Key Technologies and Algorithms Of Iotmentioning

confidence: 99%

Economic Management Teaching Mode Based on Mobile Learning and Collaborative Learning

2020

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The continuous development of the IOT technology is rapidly penetrating into all walks of life, which promotes the mobile Internet into a new service system, and mobile teaching methods with the characteristics of flexibility and interactivity are also becoming popular. This kind of learning mode enables students to get rid of the limitation of time and space, and can carry out targeted learning, so that different types of students can reasonably arrange their learning objectives according to their own learning quality. For students majoring in economic management, more and more enterprises require them to have practical ability and cooperation ability. Therefore, it is necessary to focus on cultivating students' cooperation ability and theoretical practice ability in education and teaching. However, the traditional teaching mode of "theory before practice" is no longer suitable for training such talents with comprehensive practical ability. At present, the experimental teaching using modern information technology can provide more comprehensive economic management information for classroom and teaching experiments. Therefore, in the environment of the IOT, it is of great significance to study the economic management teaching mode based on mobile learning and collaborative learning. This paper first introduces the principle and technical support of the IOT, analyzes the reform of economic management teaching mode under the environment of the IOT and the experimental teaching process using the IOT technology and virtual technology. On this basis, this paper studies the economic management experimental teaching mode based on mobile learning and collaborative learning, and makes a questionnaire survey on the students in the economic management experimental teaching center of colleges and universities. The survey results show that in the IOT environment, the experimental teaching mode based on mobile learning and collaborative learning can effectively mobilize students' learning enthusiasm, and can improve students' theoretical and practical ability, cooperative ability and autonomous learning ability to a certain extent.

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Section: B Key Technologies and Algorithms Of Iotmentioning

confidence: 99%

Economic Management Teaching Mode Based on Mobile Learning and Collaborative Learning

2020

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“…(2) Secondly, matrix B is calculated by formula (18). 19(3) Thirdly, matrix C is calculated by formula (20).…”

Section: Trilinear Alternating Least Square For Parallel Factor Analysismentioning

confidence: 99%

“…Signal processing combined with empirical mode decomposition (EMD) and fuzzy c-means clustering is used for mornitoring piston pump defects in literature [16] . The traditional decomposition method of processing high-dimensional data will not only lose the integrity of the data but also increase the amount of calculation and introduce redundancy [17][18][19][20] . These methods of extracting time-frequency characteristics from single-channel signals, such as Fourier transform, cannot reflect the internal relationship of nonlinear changes between multi-source channel characteristic signals, nor can they eliminate information interference.…”

Section: Introductionmentioning

confidence: 99%

Multi-source and Multi-fault Condition Monitoring Based on Parallel Factor Analysis and Sequential Probability Ratio Test

Yang¹,

Chen

Ke³

et al. 2021

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The monitoring of mechanical equipment systems contains an increasing number of complex content, expanding from traditional time and frequency information to three-dimensional data of the time, space and frequency information, and even higher-dimensional data containing subjects , experimental conditions. For high-dimensional data analysis, traditional decomposition methods such as Hilbert Transform, Fast Fourier Transformation and Gabor transformation not only lose the integrity of the data, but also increase the amount of calculation and introduce a lot of redundant information. The phenomenon of feature coupling, aliasing and redundancy between the mechanical multi-source data signals will cause the inaccuracy of the evaluation, diagnosis and prediction of industrial production operation status. The analysis of the three-way tensor composed of channel, frequency and time is called Parallel Factor Analysis (PARAFAC). The properties between the parallel factor analysis results and the input signals are studied through simulation experiments. Parallel factor analysis is used to decompose the third-order tensor composed of channel-time-frequency after continuous wavelet transformation of vibration signal into channel, time and frequency characteristics. Multi-scale parallel factor analysis successfully extracted nonlinear multi-dimensional dynamic fault characteristics by generating the spatial, spectral, time-domain signal loading value and three-dimensional fault characteristic expression. In order to verify the effectiveness of the space, frequency and time domain signal loading values of the fault characteristic factors generated by the centrifugal pump system after parallel factor analysis, the characteristic factors obtained after parallel factor analysis are used as the SPRT test sequence for identification and verification. The results indicate that the method proposed in this article improves the measurement accuracy and intelligence of mechanical fault detection.

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“…Nowadays, there are enormous networks associating from the cellular systems to noninfrastructure wireless systems such as sensor networks, mobile ad hoc networks, and the Internet of Things (IoT). The communication security is the key element for the success of wireless sensor applications [1,2], especially for sensitive applications that work in mission-critical and hostile areas. Therefore, the provision of reliable and efficient security in wireless networks has always been a challenging task due to various malignant attacks and resource-constrained environment.…”

Section: Introductionmentioning

confidence: 99%

“…(1) We have presented a three-party identity-based authentication for the secure communications among users in an IoT infrastructure. The proposed identity-based scheme is designed using simple operations such as XOR, hash, and point multiplication (2) The proposed protocol enables mutual authentication between users and gateway for establishing and sharing the session key…”

Section: Introductionmentioning

confidence: 99%

An Identity-Based Anonymous Three-Party Authenticated Protocol for IoT Infrastructure

et al. 2020

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The rapid advancement in the field of wireless sensor and cellular networks have established a rigid foundation for the Internet of Things (IoT). IoT has become a novel standard that incorporates various physical objects by allowing them to collaborate with each other. A large number of services and applications emerging in the field of IoT that include healthcare, surveillance, industries, transportation, and security. A service provider (SP) offers several services that are accessible through smart applications from any time, anywhere, and any place via the Internet. Due to the open nature of mobile communication and the Internet, these services are extremely susceptible to various malicious attacks, e.g., unauthorized access from malicious intruders. Therefore, to overcome these susceptibilities, a robust authentication scheme is the finest solution. In this article, we introduce a lightweight identity-based remote user authentication and key agreement scheme for IoT environment that enables secure access to IoT services. Our introduced scheme utilizes lightweight elliptic curve cryptography (ECC), hash operations, and XOR operations. The theoretical analysis and formal proof are presented to demonstrate that our scheme provides resistance against several security attacks. Performance evaluation and comparison of our scheme with several related schemes for IoT environment are carried out using the PyCrypto library in Ubuntu and mobile devices. The performance analysis shows that our scheme has trivial storage and communication cost. Hence, the devised scheme is more efficient not only in terms of storage, communication, and computation overheads but also in terms of providing sufficient security against various malicious attacks.

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Intelligent early structural health prognosis with nonlinear system identification for RFID signal analysis

Cited by 48 publications

References 27 publications

Economic Management Teaching Mode Based on Mobile Learning and Collaborative Learning

Economic Management Teaching Mode Based on Mobile Learning and Collaborative Learning

Multi-source and Multi-fault Condition Monitoring Based on Parallel Factor Analysis and Sequential Probability Ratio Test

An Identity-Based Anonymous Three-Party Authenticated Protocol for IoT Infrastructure

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