Quantum Cryptography Based on the Deutsch-Jozsa Algorithm

Nagata, Koji; Nakamura, Tadao; Farouk, Ahmed

doi:10.1007/s10773-017-3456-x

Cited by 51 publications

(11 citation statements)

References 33 publications

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“…Different extension evaluation indicators may have different effects on the evaluation results, so the weights of evaluation indicators will also vary. Due to its calculation simplicity, reliability, and rationality [18][19][20][21], the AHP method was used to obtain the weight of extension evaluation index. Through expert survey, the scale of 1-9 was adopted to score the importance of the indicators, and then obtain the initial evaluation matrix B:…”

Section: Weights Of Extension Evaluation Indicatorsmentioning

confidence: 99%

Analysis of Extension Strategies for Improving Adaptive Teaching Ability of College Teachers

Han¹,

Zhou²,

Qiao³

2020

Int. J. Emerg. Technol. Learn.

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In the new era, college teachers should improve their teaching ability, espe-cially in terms of adaptability. However, most college teachers lack sufficient adaptive teaching ability, failing to create an adaptive teaching environment. To solve the problem, this paper explores deep into the extension strategies for improving the adaptive teaching ability of college teachers. First, the problems of college teachers in adaptive teaching were identified, and the key aspects of adaptive teaching ability were enumerated theoretically. On this basis, several extension strategies were put forward to improve the adap-tive teaching ability of college teachers. To evaluate the improving effect, the authors developed an evaluation model for the adaptive teaching ability of college teachers based on the extension theory. Overall, this paper fully ex-plores the improvement of adaptive teaching ability of college teachers via theoretical analysis and modelling. The research results boast good applica-tion prospects.

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Section: Weights Of Extension Evaluation Indicatorsmentioning

confidence: 99%

Analysis of Extension Strategies for Improving Adaptive Teaching Ability of College Teachers

Han¹,

Zhou²,

Qiao³

2020

Int. J. Emerg. Technol. Learn.

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show abstract

“…Based on quantum mechanics and quantum computing theory [28], [29], the QGA encodes each chromosome with qubits, such that the chromosome can be represented as a superposition of multiple states. Under the guide of quantum gates, the chromosome can update itself towards the best individual in the population.…”

Section: The Qgamentioning

confidence: 99%

“…To overcome these defects, the QGA was employed to search for the optimal connection parameters between the neurons in the FNN. The essence is to search the optimal connection parameters among the nodes of fuzzy neural network by quantum genetic algorithm [28], [29]. The connection parameters include the mean c ij and the standard deviation σ ij of the Gaussian membership function in the first layer, and the connection weight ω ij between the third and fifth layers.…”

Section: B Qga-based Training Of the Fnnmentioning

confidence: 99%

Prediction of Vessel Traffic Volume in Ports Based on Improved Fuzzy Neural Network

Tian

Wang

2020

IEEE Access

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The accurate prediction of vessel traffic volume (VTV) is very helpful to rational scheduling of port resources and reducing vessel accidents. However, the traditional VTV prediction methods face problems like the overfitting of historical data and prediction inaccuracy. To solve these problems, this paper improved the fuzzy neural network (FNN) with quantum genetic algorithm (QGA). Firstly, the basic principles of neural network (NN), fuzzy inference and the QGA were introduced in turn. Then, the weights of the FNN were optimized by the QGA. On this basis, the authors established a VTV prediction model based on the improved FNN. Finally, the established model was applied to predict the VTV in an actual port of China, in comparison with several classic NNs. The VTV data were collected based on the length and gross tonnage of vessels. The results show that the improved FNN outperformed the contrastive methods in the accuracy of VTV prediction, thanks to the optimization by the QGA. The proposed method enjoys a great application potential in the prediction of the VTV in ports. INDEX TERMS Vessel traffic volume (VTV), prediction model, fuzzy neural network (FNN), quantum genetic algorithm (QGA).

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“…According to the different perspectives of the Bayesian network, the Bayesian network structure learning methods can be divided into two types, namely the methods based on conditional independence, and the methods based on scores [10]. The Bayesian model can be regarded as a structure containing the distribution of joint probabilities between attributes, through learning and scoring, the Bayesian network model that has the best data fits can be determined [11,12]. Now, the Bayesian networks and models have been widely used in various fields such as information fusion, prediction, and business and intelligent robots [13,14].…”

Section: Introductionmentioning

confidence: 99%

An Automatic Optimal Course Recommendation Method for Online Math Education Platforms Based on Bayesian Model

Fan

Zhang

Zu³

et al. 2021

Int. J. Emerg. Technol. Learn.

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Online education platforms inject new vitality into the field of education, and greatly improves the accessibility to high-quality education resources. However, the current online education platforms do not support independent course selection based on personal preferences. To solve this problem, this paper designs an automatic recommendation method of optimal courses for online math education platforms based on Bayesian model. The results show that the Bayesian model can simulate the causal relationship between real-world affairs by building a graphic model based on the graph theory and the probability theory; the model can effectively merge priori and posteriori information, and encode the causality between knowledge points; the model clearly outshines user-based collaborative filtering model, term-based collaborative filtering model, and SlopeOne model, and achieves a stable accuracy rate in automatic recommendation of courses. The research provides an empirical evidence to the improvement and innovation of professional online math course platforms.

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Quantum Cryptography Based on the Deutsch-Jozsa Algorithm

Cited by 51 publications

References 33 publications

Analysis of Extension Strategies for Improving Adaptive Teaching Ability of College Teachers

Analysis of Extension Strategies for Improving Adaptive Teaching Ability of College Teachers

Prediction of Vessel Traffic Volume in Ports Based on Improved Fuzzy Neural Network

An Automatic Optimal Course Recommendation Method for Online Math Education Platforms Based on Bayesian Model

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