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14th International Symposium on Computational Intelligence and Design, ISCID 2021

作者： Liu, Jiaqi Zhou, Hongchuan Yang, Benchao Information Engineering University State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781665438568

This paper mainly studies the change rule of center temperature of welding zone in backwelding furnace under different set temperature and transfer rate conditions, and searches for appropriate temperature and rate to obtain the optimal furnace temperature curve. Different infinite length plate models were established for the small temperature region and interval respectively, and the heat transfer of each part was considered according to Fourier heat law and Newton cooling law, and the equation about the temperature change with time was constructed based on the law of energy conservation. © 2021 IEEE.

关键词： Temperature

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Design and Implementation of Variable Precision Algorithm for Transcendental Functions

Design and Implementation of Variable Precision Algorithm fo...

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2019 International Conference on Artificial Intelligence Technologies and Applications, ICAITA 2019

作者： Jiangwei, Hao Jinchen, Xu Shaozhong, Guo Yuanyuan, Xia Dan, Liu State Key Laboratory of Mathematical Engineering and Advanced Computing Information Engineering University Zhengzhou China

mathematical function is an essential part of numerical program, and it is also the key factor that affects the precision and performance of a program. In the design of mathematical functions, in order to satisfy most application scenarios, it is necessary to correctly round and cover the calculated interval as much as possible. But in certain applications, correct rounding and full coverage of definition domain may not be required. Therefore, mathematical functions can be customized according to application requirements to avoid precision waste as well as improve performance. However, manually implementing mathematical functions is a time-consuming and error-prone task. Tools like Metalibm is designed to automatically generate mathematical function code, which is difficult to take advantage of all the mathematical properties of a function and results in the generated code performing slowly than the corresponding mathematical library function. A method of generating variable precision code based on mathematical properties is proposed for the transcendental function in this work. Experiments showed the performance of the proposed method is comparable to Glibc mathematical function. © 2019 IOP Publishing Ltd. All rights reserved.

关键词： Functions

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mathematical modeling of intelligent RGV simulation scheduling system based on simulated annealing algorithm 14

Mathematical modeling of intelligent RGV simulation scheduli...

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14th International Symposium on Computational Intelligence and Design, ISCID 2021

作者： Yang, Benchao Zhou, Hongchuan Liu, Jiaqi State Key Laboratory of Mathematical Engineering and Advanced Computing Information Engineering University Zhengzhou China

ISBN: (纸本)9781665438568

By establishing a mathematical model, the intelligent RGV scheduling scheme is optimized to design an efficient and stable intelligent RGV simulation scheduling system. This paper studies two different situations, including whether there is a fault in a process. Using the combination of high response ratio priority scheduling algorithm and simulated annealing algorithm, the process conditions including two or more process package faults are established, an intelligent RGV simulation scheduling algorithm based on simulated annealing is proposed, and the general intelligent RGV simulation scheduling system model is established. At the end of the paper, the failure of the two processes is also analyzed, and similar solutions can be given on the basis of this paper. © 2021 IEEE.

关键词： Simulated annealing

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Grover algorithm circuit optimization and noise analysis on integer factorization 7

Grover algorithm circuit optimization and noise analysis on ...

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7th International Conference on Intelligent computing and Signal Processing, ICSP 2022

作者： Song, Hui-Chao Liu, Xiao-Nan Jiang, Duo An, Jiale University of Information Engineering State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781665478571

The classical computer is restricted by Moore's law and other factors into the development bottleneck, quantum computer by virtue of its natural acceleration advantage into the field of vision. Quantum computing can achieve the acceleration effect compared with classical computing in many fields. In the field of integer decomposition, Shor algorithm can be solved in polynomial time, which breaks the security of RSA public key cryptosystem. However, the quantum bits (logn + 2, where n is the integer to be decomposed) required by Shor algorithm are difficult to be realized on today's quantum computers. Therefore, the hybrid quantum algorithm model of "classical + quantum (Grover algorithm)"is tried to realize the decomposition of large integers. In this paper, based on the previous hybrid quantum algorithm model, considering that the continuous accumulation of errors in the circuit of the quantum algorithm will lead to the failure of the algorithm as the depth increases, part of the circuit of the quantum algorithm oracle is optimized to reduce the consumption of the depth, quantum gate and quantum bit in the circuit of the quantum algorithm, so as to make it easier to run on the actual quantum computer. By running the optimized quantum circuit on the back end of the simulator of IBM Q quantum cloud platform, and trying to add thermal relaxation and depolarization noises to the circuit, the influence of different noises on the circuit under different iterations was explored. © 2022 IEEE.

关键词： Quantum computers

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A Combination Method of Resampling and Random Forest for Imbalanced Data Classification 4

A Combination Method of Resampling and Random Forest for Imb...

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4th International Conference on Advances in Computer Technology, Information Science and Communications, CTISC 2022

作者： Zheng, Liu Han, Qiu Junhu, Zhu Information & Engineering University State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (数字)9781665458726

ISBN: (纸本)9781665458726

In the research of imbalanced data classification, the resampling effect of the existing resampling and random forest combination technology is greatly affected by the characteristic dimension of the training set, resulting in the unsatisfactory classification effect of the model. To solve this problem, a combination method of resampling and Random Forest for imbalanced data classification is proposed. The core idea is to resample the original data set multiple times by using the feature subset of each subtree in the random forest. By reducing the number of features used in a single resampling, the influence of feature dimension on resampling effect is reduced;Different feature subsets are used for resampling in different subtrees to improve the diversity of base classifiers. Based on SMOTE, B-SMOTE and ADASYN resampling techniques, three different optimization algorithms PSRF, PBSRF and PADRF are realized respectively. Taking the geometric mean and recall rate as evaluation indexes, the experimental results on 10 groups of KEEL data show that compared with the algorithm before optimization, the geometric mean values of the three algorithms are increased by 0.85%, 2.93% and 0.79% respectively, and the recall rates are increased by 1.44%, 3.26% and 1.07% respectively. © 2022 IEEE.

关键词： Machine learning

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Defense strategy selection method for Stackelberg security game based on incomplete information 2019

Defense strategy selection method for Stackelberg security g...

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2019 International Conference on Artificial Intelligence and Computer Science, AICS 2019

作者： Ge, Xiaoyue Zhou, Tianyang Zang, Yichao State Key Laboratory of Mathematical Engineering and Advanced Computing Information and Engineering University Zhengzhou China

ISBN: (纸本)9781450371506

Network attack and defense confrontation is essentially a game process between unequal subjects on both sides of attack and defense. There are some defects in the prior hypothesis that the subject status of both sides of the attack and defense game is equal and the active defense ability is insufficient in the research of the existing network defense strategy. In this paper, game theory unequal thought and defender active release incentive technology into network defense strategy generation model construction process, and a Stackelberg Security Game defense strategy generation method based on incomplete information is proposed. By establishing the network model, the strong equilibrium strategy algorithm of Stackelberg Security Game with incomplete information is used to generate the optimal defense strategy of the network. The defender can actively release the incentive strategy without reducing the accuracy of defense strategy generation. The experimental results provide a method for the selection of optimal defense strategy, and can strengthen the security of the system. © 2019 Association for computing Machinery.

关键词： Game theory

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Exploration and research of blended learning in the "principles of computer organization" 2

Exploration and research of blended learning in the "princip...

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2nd International Conference on Computer Science and Educational Informatization, CSEI 2020

作者： Hou, Yifan Wang, Wei Liu, Fudong Shan, Zheng Wang, Junchao Wang, Lixin State Key Laboratory of Mathematical Engineering and Advanced Computing Information Engineering University Zhengzhou China

ISBN: (纸本)9781728170077

The'Principles of Computer Organization' is the core basic course for the construction of computer hardware courses. In this paper, it analyzes the characteristics of the 'Principles of Computer Organization 'Aiming at the challenges faced by the traditional teaching. This paper makes a beneficial exploration on the teaching reform of the Principle of Computer Composition based on the blended learning mode from the aspects of teaching content, teaching method transformation, interactive communication, evaluation and assessment, etc. This paper proposes a framework for self-learning ability training based on a blended learning model, which is applied and formed in the course of principles. Teaching practice shows that the reform of teaching mode and teaching practice not only stimulates learning interest and motivation of students, but also improves their self-learning ability and practical ability. © 2020 IEEE.

关键词： Teaching

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NOMANet: A Graph Neural Network Enabled Power Allocation Scheme for NOMA

arXiv

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arXiv 2025年

作者： Hou, Yipu Lu, Yang Chen, Wei Ai, Bo Niyato, Dusit Ding, Zhiguo State Key Laboratory of Advanced Rail Autonomous Operation China School of Computer Science and Technology Beijing Jiaotong University Beijing100044 China School of Electronics and Information Engineering Beijing Jiaotong University Beijing100044 China College of Computing and Data Science Nanyang Technological University 639798 Singapore Department of Electrical Engineering and Computer Science Khalifa University Abu Dhabi127788 United Arab Emirates

This paper proposes a graph neural network (GNN) enabled power allocation scheme for non-orthogonal multiple access (NOMA) networks. In particular, a downlink scenario with one base station serving multiple users over several subchannels is considered, where the number of subchannels is less than the number of users, and thus, some users have to share a subchannel via NOMA. Our goal is to maximize the system energy efficiency subject to the rate requirement of each user and the overall budget. We propose a deep learning based approach termed NOMA net (NOMANet) to address the considered problem. Particularly, NOMANet is GNN-based, which maps channel state information to the desired power allocation scheme for all subchannels. The multi-head attention and the residual/dense connection are adopted to enhance the feature extraction. The output of NOMANet is guaranteed to be feasible via the customized activation function and the penalty method. Numerical results show that NOMANet trained unsupervised achieves performance close to that of the successive convex approximation method but with a faster inference speed by about 700 times. Besides, NOMANet is featured by its scalability to both users and subchannels. © 2025, CC BY.

关键词： Channel state information

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A Network Deception Defense Mechanism Based on Virtual Topology Generation

A Network Deception Defense Mechanism Based on Virtual Topol...

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2023 International Conference on Intelligent Systems, Communications, and Computer Networks, ISCCN 2023

作者： Wang, Binghui Lu, Bin State Key Laboratory of Mathematical Engineering and Advanced Computing Information Engineering University Zhengzhou China

ISBN: (纸本)9781510666238

To address the problem that traditional network defense techniques are difficult to cope with scanning attacks launched by internal attackers, this paper proposes a Virtual Network Topology Deception Defense mechanism(VNTDD)based on the idea of deception defense. In order to solve the problem of lack of randomness and security of virtual network topology, we divide the virtual network topology into three categories: forwarding nodes, real nodes and virtual nodes, and analyze their deployment locations and numbers respectively to generate a random virtual network topology, and enables the deployment of virtual network topology on the underlying real network through traffic control mechanisms. Finally, through experimental analysis, the VNTDD deception defense mechanism proposed in this paper can effectively prolong the scanning process of the intranet by internal attackers. © 2023 SPIE. All rights reserved.

关键词： Topology

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The Propagation Strategy Model of Taint Analysis 4

The Propagation Strategy Model of Taint Analysis

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2019 4th International Seminar on Computer Technology, Mechanical and Electrical engineering, ISCME 2019

作者： Ren, Yuzhu Zhao, Jiangtao Zhang, Cao State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Henan450000 China

The taint propagation strategy is the core of the taint analysis technology. When the taint analysis toolsanalyses the target program, it needs to mark the target data according to the formulatedtaint propagation strategy. Formulating a reasonable strategy for taint propagation can effectively improve the accuracy of taint analysis. There are two difficulties in developing the taint propagation strategy, namely, alias analysis in static taint analysis and indirect jump in dynamic taint analysis. In our paper, we propose a taint propagation strategy at the intermediate representation language level, which can effectively improve the accuracy of taint propagation. © Published under licence by IOP Publishing Ltd.

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