Mathematical Modeling Analysis of Strong Physical Unclonable Functions

Xu, Yunhao; Lao, Yingjie; Liu, Weiqiang; Zhang, Zaichen; You, Xiaohu; Zhang, Chuan

doi:10.1109/tcad.2020.2969645

Cited by 22 publications

(14 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…rough forward propagation, we can get the final predicted value b L p , and by defining the error between the predicted value b L p and the true value y p , we get R [14,15]. To solve the parameter that minimizes the error R, we need to use our backpropagation algorithm.…”

Section: Backpropagationmentioning

confidence: 99%

Construction of WeChat Mobile Teaching Platform in the Reform of Physical Education Teaching Strategy Based on Deep Neural Network

Yu-feng

2021

Mobile Information Systems

View full text Add to dashboard Cite

Physical education is an important part of school education. Doing a good job of physical education can not only increase students’ interest in sports but also improve their physical fitness. However, traditional physical education methods lack new ideas and fail to reach the goals of physical education. Therefore, it is extremely urgent to conduct physical education teaching strategies. Based on this, this paper proposes the construction of WeChat mobile teaching platform in the reform of physical education teaching strategy based on deep neural network. This paper adopts literature method and experimental analysis method to conduct in-depth research on the application of deep neural network in physical education and its characteristics, shortcomings, and improvements and build a WeChat mobile based on deep neural network in physical education strategy reform teaching platform. The comparison between the control group and the experimental group is used to compare multiple physical test indicators before and after the test to reflect the teaching effectiveness after the change in the physical education strategy of this paper. This paper mainly analyzes the results of the physical education teaching scale and the results of the students’ physical fitness test, including the students’ learning motivation, learning attitude, and learning process in the physical education process, as well as the male and female students’ results of the experimental group and the control group before and after the test compared. The P values of the boys in the experimental class and the control class are all greater than 0.05, which is limited to the relatively short time of the experiment. The data of the boys in the two classes on these three items show no significant difference. The t-test was performed on the posttest results of the three items of the girls, the P values were all less than 0.05, and there were significant differences, especially in the comparison of the results of the postthrowing solid ball and the corner running. The P values of the two test items were all less than 0.01; there is a very significant difference.

show abstract

Section: Backpropagationmentioning

confidence: 99%

Construction of WeChat Mobile Teaching Platform in the Reform of Physical Education Teaching Strategy Based on Deep Neural Network

Yu-feng

2021

Mobile Information Systems

View full text Add to dashboard Cite

show abstract

“…In the process of physical education curriculum implementation, in addition to physical classroom teaching as the main channel for curriculum implementation, the two ways of extracurricular physical exercise and competition can' t be ignored. However, the current implementation of "one body and two wings" physical education curriculum has the phenomenon of lack of linkage and insufficient intercommunication [4]. First of all, there is a widespread phenomenon that the content of classroom teaching at various stages does not match the cognitive level of students.…”

Section: The Three Major Ways Of Curriculum Implementation Lack Linka...mentioning

confidence: 99%

The Realistic Predicament and Path Dispelling of the Integration of Physical Education Curriculum in Universities, Middle Schools and Primary Schools

2021

FSR

View full text Add to dashboard Cite

The integration of physical education curriculum in universities, middle schools and primary schools is the focus and difficulty of the current physical education reform. With the passage of the times, the integration of physical education curriculum in universities, middle schools and primary schools is increasingly troubled. This article uses research methods of literature and logical analysis to make a specific analysis from the practical difficulties encountered in the integration of the physical education curriculum of universities, middle schools and primary schools. The study found that: the current direction and setting of the physical education curriculum goals are inadequate in correspondence and cohesion; the selection and organization of curriculum content is simple and repetitive, and lacks gradualness; the three major approaches to curriculum implementation lack linkage and lack of interoperability; curriculum evaluation objects, content, and methods are out of touch, lack of integrity. The design of the curriculum objectives of each semester should focus on the main line of the core literacy of the physical education discipline, build a logically clear and sequential curriculum content system, optimize the flexible and diverse, internal and external joint curriculum implementation methods, and establish a progressive, multi-level perspective The curriculum evaluation system is established to establish a physical education curriculum system that is internally unified, horizontally consistent, vertical cohesive, and forms united.

show abstract

“…Moreover, highly complex and distributed multiple-scattering optical systems with high fabrication sensitivities can be very difficult to model or trim. Thus, the question remains open as to whether emerging technology could enable successful physical or machine learning attacks on emerging optical PUFs [27], as has been demonstrated in specific types of non-optical silicon PUFs [28][29][30].…”

Section: Main Textmentioning

confidence: 99%

Robust optical physical unclonable function using disordered photonic integrated circuits

et al. 2020

Self Cite

View full text Add to dashboard Cite

AbstractPhysical unclonable function (PUF) has emerged as a promising and important security primitive for use in modern systems and devices, due to their increasingly embedded, distributed, unsupervised, and physically exposed nature. However, optical PUFs based on speckle patterns, chaos, or ‘strong’ disorder are so far notoriously sensitive to probing and/or environmental variations. Here we report an optical PUF designed for robustness against fluctuations in optical angular/spatial alignment, polarization, and temperature. This is achieved using an integrated quasicrystal interferometer (QCI) which sensitively probes disorder while: (1) ensuring all modes are engineered to exhibit approximately the same confinement factor in the predominant thermo-optic medium (e. g. silicon), and (2) constraining the transverse spatial-mode and polarization degrees of freedom. This demonstration unveils a new means for amplifying and harnessing the effects of ‘weak’ disorder in photonics and is an important and enabling step toward new generations of optics-enabled hardware and information security devices.

show abstract

Mathematical Modeling Analysis of Strong Physical Unclonable Functions

Cited by 22 publications

References 23 publications

Construction of WeChat Mobile Teaching Platform in the Reform of Physical Education Teaching Strategy Based on Deep Neural Network

Construction of WeChat Mobile Teaching Platform in the Reform of Physical Education Teaching Strategy Based on Deep Neural Network

The Realistic Predicament and Path Dispelling of the Integration of Physical Education Curriculum in Universities, Middle Schools and Primary Schools

Robust optical physical unclonable function using disordered photonic integrated circuits

Contact Info

Product

Resources

About