检索结果-内蒙古大学图书馆

arXiv 2025年

作者： Liu, Yu-Hong Tan, Qing-Shou Kuang, Le-Man Liao, Jie-Qiao Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education Key Laboratory for Matter Microstructure and Function of Hunan Province Department of Physics Synergetic Innovation Center for Quantum Effects and Applications Hunan Normal University Changsha410081 China Key Laboratory of Hunan Province on Information Photonics and Freespace Optical Communication College of Physics and Electronics Hunan Institute of Science and Technology Yueyang414000 China Institute of Interdisciplinary Studies Hunan Normal University Changsha410081 China

Non-classical mechanical states, as vital quantum resources for exploring macroscopic quantum behavior, have wide applications in the study of the fundamental quantum mechanics and modern quantum technology. In this work, we propose a scheme for deterministically generating non-classical mechanical states in cavity optomechanical systems. By working in the eigen-representation of the nonlinear optomechanical systems, we identify the carrier-wave resonance conditions and seek for the optimal driving pulses for state preparations. Concretely, we employ the reinforcement learning method to optimize the pulsed driving fields, effectively suppressing the undesired transitions induced by both the pulsed driving fields and dissipations. This approach enables the high-fidelity preparation of phononic Fock states and superposed Fock states in the single-resonator optomechanical systems, as well as two-mode entangled states in the two-resonator optomechanical systems. The statistical properties of the generated states are also examined. Our results open a way for quantum state engineering in quantum optics and quantum information science via reinforcement learning. Copyright © 2025, The Authors. All rights reserved.

关键词： Quantum optics

来源：评论

学校读者我要写书评

暂无评论

Practical Continuous-variable Quantum Key Distribution with Feasible Optimization Parameters

arXiv

引用

arXiv 2021年

作者： Ma, Li Yang, Jie Zhang, Tao Shao, Yun Liu, Jinlu Luo, Yujie Wang, Heng Huang, Wei Fan, Fan Zhou, Chuang Zhang, Liangliang Zhang, Shuai Zhang, Yichen Li, Yang Xu, Bingjie Science and Technology on Communication Security Laboratory Institute of Southwestern Communication Chengdu610041 China State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and Telecommunications Beijing100876 China

Continuous-variable quantum key distribution (CV-QKD) offers an approach to achieve a potential high secret key rate (SKR) in metropolitan areas. There are several challenges in developing a practical CV-QKD system from the laboratory to the real world. One of the most significant points is that it is really hard to adapt different practical optical fiber conditions for CV-QKD systems with unified hardware. Thus, how to improve the performance of practical CV-QKD systems in the field without modification of the hardware is very important. Here, a systematic optimization method, combining the modulation variance and error correction matrix optimization, is proposed to improve the performance of a practical CV-QKD system with a restricted capacity of postprocessing. The effect of restricted postprocessing capacity on the SKR is modeled as a nonlinear programming problem with modulation variance as an optimization parameter, and the selection of an optimal error correction matrix is studied under the same scheme. The results show that the SKR of a CV-QKD system can be improved by 24% and 200% compared with previous frequently used optimization methods theoretically with a transmission distance of 50 km. Furthermore, the experimental results verify the feasibility and robustness of the proposed method, where the achieved optimal SKR achieved practically deviates Copyright © 2021, The Authors. All rights reserved.

关键词： Quantum cryptography

来源：评论

学校读者我要写书评

暂无评论

A Many-Objective Optimization Evolutionary Algorithm Based on Hyper-Dominance Degree

SSRN

引用

SSRN 2023年

作者： Liu, Zhe Han, Fei Ling, Qing-Hua Han, Henry Jiang, Jing Wang, Yue School of Computer Science and Communication Engineering Jiangsu University Zhenjiang212013 China Jiangsu Key Laboratory of Security Technology for industrial Cyberspace Jiangsu University Zhenjiang212013 China School of Computer Science Jiangsu University of Science and Technology Zhenjiang212100 China School of Engineering & Computer Science Baylor University Waco76798 United States School of Computer and information Anqing normal University Anqing246011 China School of Mechatronical Engineering Beijing Institute of Technology Beijing100081 China

Compared with multi-objective optimization, solving many-objective optimization problems usually require more strong selection pressure to improve convergence. However, too strong selection pressure usually leads to the loss of diversity, and too weak selection pressure often results in slow convergence. How to control the selection pressure to balance convergence and diversity remains a challenge in many-objective optimization. To tackle this challenge, a many-objective optimization evolutionary algorithm based on the hyper-dominance degree is proposed in this paper. A conception of hyper-dominance degree is proposed to quantify the convergence of solutions in the population, in which the solution with a higher hyper-dominance degree indicates it has higher convergence than other solutions in the population. Once the hyper-dominance degree of each solution has been calculated, the selection pressure can be easily controlled by setting a tolerance to screen solutions. A tolerance adjusting strategy is designed to control selection pressure during optimization to provide enough selection pressure while avoiding diversity loss. An improved reference vectors-based diversity preservation strategy is proposed to make the solutions well-distributed in the objective space, which uses an inverted association method to select solutions with better diversity. Moreover, a population reselection strategy based on hyper-dominance degree is proposed to further improve the convergence rate. Our experimental results on various benchmark problems with up to 20 objectives verified that the proposed algorithm outperforms the state-of-the-art peer many-objective optimization algorithms. © 2023, The Authors. All rights reserved.

关键词： Evolutionary algorithms

来源：评论

学校读者我要写书评

暂无评论

An alternative approach for computing discrete logarithms in compressed SIDH

arXiv

引用

arXiv 2021年

作者： Lin, Kaizhan Wang, Weize Wang, Lin Zhao, Chang-An School of Mathematics Sun Yat-Sen University Guangzhou510275 China Science and Technology on Communication Security Laboratory Sichuan Chengdu610041 China Guangdong Key Laboratory of Information Security Guangzhou510006 China

Currently, public-key compression of supersingular isogeny Diffie-Hellman (SIDH) and its variant, supersingular isogeny key encapsulation (SIKE) involve pairing computation and discrete logarithm computation. In this paper, we propose novel methods to compute only 3 discrete logarithms instead of 4, in exchange for computing a lookup table efficiently. The algorithms also allow us to make a trade-off between memory and efficiency. Our implementation shows that the efficiency of our algorithms is close to that of the previous work, and our algorithms perform better in some special cases. © 2021, CC BY-NC-SA.

关键词： Table lookup

来源：评论

学校读者我要写书评

暂无评论

A Multi-Objective Evolutionary Algorithm Based on Adaptive Grid for Multi-Objective Optimization with Irregular Pareto Fronts

SSRN

引用

SSRN 2023年

作者： Han, Fei Liu, Zhe Ling, Qing-Hua Han, Henry Jiang, Jing Wang, Yue School of Computer Science and Communication Engineering Jiangsu University Zhenjiang212013 China Jiangsu Key Laboratory of Security Technology for industrial Cyberspace Jiangsu University Zhenjiang212013 China School of Computer Science Jiangsu University of Science and Technology Zhenjiang212100 China School of Engineering & Computer Science Baylor University Waco76798 United States School of Computer and information Anqing normal University Anqing246011 China School of Mechatronical Engineering Beijing Institute of Technology Beijing100081 China

Most existing multi-objective optimization algorithms suffer from performance degradation when solving problems with irregular Pareto fronts due to the ineffective diversity preservation strategies. To address this issue, a multiobjective evolutionary algorithm based on adaptive grid is proposed by improving the grid-based diversity preservation approach. The main idea of the proposed algorithm is to use an adaptive grid to divide the objective space into a series of subspace and guide the distribution of solutions to make them well-distributed, where the number of grid divisions can be adaptively adjusted to keep the most appropriate interval between solutions for problems with any shape of Pareto front. Besides, a grid nadir point stabilization strategy is presented to create a relatively stable environment for diversity preservation, and an internal competition strategy is designed to select solutions in each subspace to ensure convergence and diversity. Experimental results on the benchmark test suites with various types of Pareto fronts verify that our proposed algorithm outperforms seven state-of-the-art multi-objective evolutionary algorithms for multi-objective optimization problems with irregular Pareto fronts. © 2023, The Authors. All rights reserved.

关键词： Multiobjective optimization

来源：评论

学校读者我要写书评

暂无评论

Dynamic Tracking of Ship Course with Limited Input Based on ZG control and Bivariate S-Function

Dynamic Tracking of Ship Course with Limited Input Based on ...

引用

Chinese control and Decision Conference, CCDC

作者： Shengmian Xie Yunong Zhang Jinjin Guo Mengling Xiao School of Information and Communication Engineering Guangzhou Maritime University Guangzhou China Guangdong Key Laboratory of Modern Control Technology Guangzhou China School of Computer Science and Engineering Sun Yat-sen University Guangzhou China

ISBN: (纸本)9781665478977

The nonlinear control system of ship is complex, which is a focus of research and key core of dynamic tracking. Because the input of the actual system is often restricted by the physical constraints of the actuator and energy-saving control, the feasible region of the control input is often constrained by these factors. Therefore, by combining Zhang-gradient (ZG) dynamics with S-function, in this paper, a novel controller for the limited input system is designed. Considering the fact that dynamic systems are generally nonlinear in practical applications, the nonlinear system study has more practical significance. Therefore, this paper extends the ZG control method based on gradient dynamics and the bivariate S-function to the tracking control of nonlinear ship system, and designs a ship course tracking controller with a limited input, which can control the rudder angle within a certain feasible region while successfully tracking the ship course.

关键词： Actuators control engineering Navigation Process control Nonlinear control systems Nonlinear dynamical systems Marine vehicles

来源：评论

学校读者我要写书评

暂无评论

Computing Power in the Sky: Digital Twin-assisted Collaborative Computing with Multi-UAV Networks

引用

IEEE Transactions on Vehicular technology 2025年

作者： Wang, Chao Han, Yu Zhang, Long Jia, Ziye Zhang, Hongliang Hong, Choong Seon Han, Zhu Hebei University of Engineering School of Information and Electrical Engineering Handan056038 China Qilu University of Technology Shandong Academy of Sciences Key Laboratory of Computing Power Network and Information Security Ministry of Education Jinan250014 China Nanjing University of Aeronautics and Astronautics College of Electronic and Information Engineering Nanjing211106 China Southeast University National Mobile Communications Research Laboratory Jiangsu Nanjing211111 China Peking University State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Beijing100871 China Kyung Hee University Department of Computer Science and Engineering Gyeonggi-do Yongin-si17104 Korea Republic of University of Houston Department of Electrical and Computer Engineering HoustonTX77004 United States Kyung Hee University Department of Computer Science and Engineering Seoul446-701 Korea Republic of

The collaboration of computing powers (CPs) among unmanned aerial vehicles (UAVs)-mounted edge servers is essential to handle data-intensive tasks of user equipments (UEs). This paper presents a multi-UAV computing power network (CPN) that orchestrates the CP resources of edge servers to cooperatively process tasks through collaborative computing. Due to the frequent interactions among edge servers and the increased complexities for large-scale task executions, we propose a digital twin (DT)-driven multi-UAV CPN framework, where the aerial DT network is created as a digital replica of the multi-UAV network to assist collaborative computing. A joint optimization problem of the service association, offloading power control, task partitions, CP allocation, and UAV trajectory design is formulated to minimize the long-term average delay of UEs. We use the Lyapunov technique to tackle the long-term energy constraint, forming a tractable optimization problem, which is modeled as a Markov decision process to balance the UAV's deficit queue stability and the UE's task completion delay. A hybrid soft actor-critic based deep reinforcement learning algorithm is developed to optimize the joint design by sampling the hybrid action from the Gumbel and Gaussian distributions. Simulation results verify that the multi-UAV CPN contributes to significant performance gains when supported by DTs. © 2025 IEEE.

关键词： Markov processes

来源：评论

学校读者我要写书评

暂无评论

Research on Improved Multiple Users Detection Algorithm in Pattern Division Multiple Access System

SSRN

引用

SSRN 2022年

作者： Tang, Wanwei Wang, Lixia Wang, Zedai Han, Guofeng Zhao, Jinlong Yue, Xinwei The Key Laboratory of Intelligent Data Information Processing and Control of Hebei Province Tangshan University Tangshan063000 China The School of Engineering Hong Kong University of Science and Technology Hong Kong999077 Hong Kong The Guofeng Han is with the Tangshan employment service center Tangshan human resources and Social Security Bureau Tangshan063000 China The School of Electronic and Information Engineering Beihang University Beijing100191 China The School of Information and Communication Engineering Beijing Information Science and Technology University Beijing100101 China

Receiver detection algorithm has always been a research hotspot in communication system and the key point to determine the performance of 5G system. Both industry and academia have been committed to finding detection algorithms with lower complexity and higher detection performance. This paper will study how to solve the problems of low detection performance and high complexity of classical algorithms. Taking Pattern Division Multiple Access (PDMA) as an example, this paper improves the existing receiver detection algorithms such as Minimum Mean Square Error-Serial Interference Cancellation(MMSE-SIC), Message Passing Algorithm (MPA) and Expectation Propagation Algorithm (EPA), and puts forward corresponding improved algorithms with specific formulas, i.e. Enhanced-MMSE-SIC, Turbo-like MPA (MPA-Turbo) and Turbo-like EPA with hybrid parallel interference cancellation (EPA-Turbo-PIC). Link-level simulation results and analysis show that the proposed improved algorithms have performance advantages over the corresponding traditional algorithms. © 2022, The Authors. All rights reserved.

关键词： Mean square error

来源：评论

学校读者我要写书评

暂无评论

GraphEye: A Novel Solution for Detecting Vulnerable Functions Based on Graph Attention Network

GraphEye: A Novel Solution for Detecting Vulnerable Function...

引用

IEEE International Conference on Data science in Cyberspace (DSC)

作者： Li Zhou Minhuan Huang Yujun Li Yuanping Nie Jin Li Yiwei Liu School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China National Key Laboratory of Science and Technology on Information System Security BeijingChina School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9781665418164

With the continuous extension of the Industrial Internet, cyber incidents caused by software vulnerabilities have been increasing in recent years. However, software vulnerabilities detection is still heavily relying on code review done by experts, and how to automatically detect software vulnerabilities is an open problem so far. In this paper, we propose a novel solution named GraphEye to identify whether a function of C/C++ code has vulnerabilities, which can greatly alleviate the burden of code auditors. GraphEye is originated from the observation that the code property graph of a non-vulnerable function naturally differs from the code property graph of a vulnerable function with the same functionality. Hence, detecting vulnerable functions is attributed to the graph classification problem. GraphEye is comprised of VecCPG and GcGAT. VecCPG is a vectorization for the code property graph, which is proposed to characterize the key syntax and semantic features of the corresponding source code. GcGAT is a deep learning model based on the graph attention networks, which is proposed to solve the graph classification problem according to VecCPG. Finally, GraphEye is verified by the SARD Stack-based Buffer Overflow, Divide-Zero, Null Pointer Deference, Buffer Error, and Resource Error datasets, the corresponding F1 scores are 95.6%, 95.6%, 96.1%, 92.6%, and 96.1% respectively, which validate the effectiveness of the proposed solution.

关键词： Deep learning Codes Conferences Semantics Cyberspace Syntactics Data science

来源：评论

学校读者我要写书评

暂无评论

Outlier Detection for Sensor Data Streams Based on Maximum Frequent and Minimum Rare Patterns 15th

Outlier Detection for Sensor Data Streams Based on Maximum F...

引用

15th CCF Conference on Computer Supported Cooperative Work and Social Computing, Chinese CSCW 2020

作者： Shi, Xiaochen Cai, Saihua Sun, Ruizhi College of Information and Electrical Engineering China Agricultural University Beijing100083 China School of Computer Science and Communication Engineering Jiangsu University Zhenjiang212013 China Jiangsu Key Laboratory of Security Technology for Industrial Cyberspace Jiangsu University Zhenjiang Jiangsu212013 China The Ministry of Agriculture Beijing100083 China

ISBN: (纸本)9789811625398

Identifying outliers in data is an essential assignment in data mining. It aims to find the data that is significantly different from other data in the data streams, and scholars have proposed many outlier detection methods in recent years. Because pattern-based outlier recognition technology clearly illustrates the causes of anomalies, they have received extensive attention. However, the existing pattern-based outlier identification techniques main use frequent patterns or rare patterns with perform the outlier identification operations, which will affect the precision from outlier identification. To improve the exactness of outlier detection on data streams, in this paper, the maximum frequent patterns and minimum rare patterns are combined together and regarded as a whole as the pattern used in the process of outlier detection, and then it redefines the deviation index, so as to perfectly measure the abnormal degrees of outlier in the data streams. Dependent upon those search patterns and characterized deviation index, Novel maximum frequent and minimum rare pattern-based outlier detection method are put forward, that is, specific MFaMRP-OD, which can faultlessly recognize those possibility outliers. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Anomaly detection

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：