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学者姓名：张延华
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摘要 ：
本发明公开了自组网场景下基于区块链和边缘计算的轨道交通网络资源分配方法，通过构建多跳传输模型、区块链模型、MEC服务器计算模型，计算任务在列车之间多跳传输的时延、经济成本和区块链系统的时延，以及MEC服务器处理任务产生的时延和经济成本，从而根据系统状态通过训练深度神经网络，指导调整卸载路由路径的选择、卸载决策和区块大小的选择，完成场景内的最优资源分配。仿真实验表明，本发明在节省系统时延和系统总经济成本方面具有一定的优势。
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| GB/T 7714 | 李萌 , 田琳琳 , 司鹏搏 et al. 自组网场景下基于区块链和边缘计算的轨道交通网络资源分配方法 : CN202310010374.0[P]. | 2023-01-04 . |
| MLA | 李萌 et al. "自组网场景下基于区块链和边缘计算的轨道交通网络资源分配方法" : CN202310010374.0. | 2023-01-04 . |
| APA | 李萌 , 田琳琳 , 司鹏搏 , 杨睿哲 , 孙艳华 , 孙恩昌 et al. 自组网场景下基于区块链和边缘计算的轨道交通网络资源分配方法 : CN202310010374.0. | 2023-01-04 . |
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摘要 ：
Recently, the rise of the Internet of Vehicles (IoV) has driven the broad development of intelligent transportation and smart cities. In order to promote the computing power of mobile vehicles and decrease the content delivery latency of suppliers, mobile edge computing (MEC) is recognized as a promising computational paradigm and used in vehicular networks. However, there are some essential issues to be considered: 1) privacy and authenticity of data transmission in IoV, and 2) reasonable resource allocation for collaborative computing and caching. In this paper, to solve above issues, blockchain technology is introduced and adopted to ensure the accuracy and reliability of data transmission and interaction. Meanwhile, we develop an intelligent framework of resource allocation about computing and caching for blockchain-enabled MEC systems in IoV. Through jointly considering and optimizing offloading decision of computation task carried by vehicle, caching decision, the number of offloaded consensus nodes, block interval and block size, the weighted consumption costs of energy consumption and computation overheads can be decreased, and the transactional throughput of the blockchain can be increased. Moreover, due to the continuity and dynamic of the available resources of mobile vehicles and computing servers, the optimization problem is modeled as a Markov decision process (MDP). Facing the large-scale and dynamic characteristics of the system, the asynchronous advantage actor-critic (A3C) approach is introduced to deal with the optimization problem. Simulation results show that our proposed scheme achieves significant advantages over other comparison schemes, such as the total reward of the proposed scheme is about 14% higher than that of the deep Q-network based scheme.
关键词 ：
blockchain blockchain asynchronous advantage actor-critic asynchronous advantage actor-critic mobile edge computing mobile edge computing Internet of Vehicles Internet of Vehicles resource allocation resource allocation
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| GB/T 7714 | Ye, Xinyu , Li, Meng , Si, Pengbo et al. Collaborative and Intelligent Resource Optimization for Computing and Caching in IoV With Blockchain and MEC Using A3C Approach [J]. | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY , 2023 , 72 (2) : 1449-1463 . |
| MLA | Ye, Xinyu et al. "Collaborative and Intelligent Resource Optimization for Computing and Caching in IoV With Blockchain and MEC Using A3C Approach" . | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 72 . 2 (2023) : 1449-1463 . |
| APA | Ye, Xinyu , Li, Meng , Si, Pengbo , Yang, Ruizhe , Wang, Zhuwei , Zhang, Yanhua . Collaborative and Intelligent Resource Optimization for Computing and Caching in IoV With Blockchain and MEC Using A3C Approach . | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY , 2023 , 72 (2) , 1449-1463 . |
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摘要 ：
The recent advent of the Industry 4.0 era has led to the need to transform the industrial Internet of Things towards green, low-carbon and sustainable development. This is due to the fact that traditional industries consume too much energy. It is urgent to make use of digital technology for energy saving and emission reduction. However, there are still some unresolved issues in the transformation process: 1) the inability to use equipment resources thoroughly and efficiently, 2) the waste caused by overly simple resource management. In this paper, based on the above issues, we develop the ambient backscatter system to optimize the overall resource scheduling scheme and combine intelligent algorithms to solve the problem of offloading tasks. The solution optimizes offloading decisions to minimize system energy consumption and latency. Meanwhile, the proposed optimization problem is designed as a Markov decision process by combining the proposed federated learning assigned with asynchronous advantage actor-critic algorithm to obtain the optimal policy. The final evaluation results significantly show that the system performance indicator based on our proposed solution is better than others.
关键词 ：
energy efficiency energy efficiency Industrial Internet of Things Industrial Internet of Things performance optimization performance optimization ambient backscatter ambient backscatter
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| GB/T 7714 | Huang, Yudian , Li, Meng , Yu, F. Richard et al. Performance Optimization for Energy-Efficient Industrial Internet of Things Based on Ambient Backscatter Communication: An A3C-FL Approach [J]. | IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING , 2023 , 7 (3) : 1121-1134 . |
| MLA | Huang, Yudian et al. "Performance Optimization for Energy-Efficient Industrial Internet of Things Based on Ambient Backscatter Communication: An A3C-FL Approach" . | IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING 7 . 3 (2023) : 1121-1134 . |
| APA | Huang, Yudian , Li, Meng , Yu, F. Richard , Si, Pengbo , Zhang, Yanhua . Performance Optimization for Energy-Efficient Industrial Internet of Things Based on Ambient Backscatter Communication: An A3C-FL Approach . | IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING , 2023 , 7 (3) , 1121-1134 . |
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摘要 ：
Heterogeneous networks (HetNets) with end-to-end (E2E) network slicing are regarded as effective approaches to meet diverse service requirements from vertical industries. Due to the dense deployment of base stations (BSs) and the complicated associations between BSs and E2E network slices (NSs) in the scenario, the handoff problem faces challenges of the huge system state space and handoff action space and the considerable communication overhead. In this paper, we take these issues into account and consider a distributed E2E NS handoff decision framework in the HetNet. A decentralized Markov decision process (DEC-MDP)-based model is formulated for the distributed E2E NS handoff problem, and the jointly observable and random characteristics of the DEC-MDP are analyzed. To obtain a theoretical performance reference, the original distributed E2E NS handoff problem is simplified, and a Nash equilibrium-based performance bound is given. More practically, the multi-agent double deep Q-network-based distributed handoff (MA-DDQN-DH) algorithm with the centralized training and decentralized executing framework is proposed. Simulation results show that the Nash equilibrium-based performance bound is reasonable, and the proposed MA-DDQN-DH algorithm performs well in the comparison.
关键词 ：
Heuristic algorithms Heuristic algorithms Bandwidth Bandwidth Distributed network slice handoff Distributed network slice handoff decentralized Markov decision process decentralized Markov decision process Nash equilibrium Nash equilibrium Quality of service Quality of service Real-time systems Real-time systems Costs Costs multi-agent deep reinforcement learning multi-agent deep reinforcement learning Training Training Network slicing Network slicing
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| GB/T 7714 | Wu, Wenjun , Yang, Feng , Gao, Yang et al. Distributed Handoff Problem in Heterogeneous Networks With End-to-End Network Slicing: Decentralized Markov Decision Process-Based Modeling and Solution [J]. | IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS , 2022 , 21 (12) : 11222-11236 . |
| MLA | Wu, Wenjun et al. "Distributed Handoff Problem in Heterogeneous Networks With End-to-End Network Slicing: Decentralized Markov Decision Process-Based Modeling and Solution" . | IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 21 . 12 (2022) : 11222-11236 . |
| APA | Wu, Wenjun , Yang, Feng , Gao, Yang , Wang, Xiaoxi , Si, Pengbo , Zhang, Yanhua et al. Distributed Handoff Problem in Heterogeneous Networks With End-to-End Network Slicing: Decentralized Markov Decision Process-Based Modeling and Solution . | IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS , 2022 , 21 (12) , 11222-11236 . |
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摘要 ：
本发明公开了一种基于区块链和国密算法的文件信息数据存储方法，为了更安全便捷的存储文件，防止被篡改，保护用户个人隐私和利益。将区块链和国密算法结合起来，使用去中心化的公开账本区块链做为存储工具。使用国密SM3哈希算法生成哈希值，提取文件信息，可占用较小的存储空间记录关键信息。采用POST请求的方式，安全快捷的传输数据。区块链后台系统中使用Kafka算法高效完成节点之间的共识，使数据一经上链便无法篡改。使用HTML\CSS\JavaScript搭建前端，查询到数据以及对应的区块信息在前端界面显示。最终能安全有效便捷的存储文件信息数据。
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| GB/T 7714 | 司鹏搏 , 周宇泽 , 李萌 et al. 一种基于区块链和国密算法的文件信息数据存储方法 : CN202211161053.2[P]. | 2022-09-22 . |
| MLA | 司鹏搏 et al. "一种基于区块链和国密算法的文件信息数据存储方法" : CN202211161053.2. | 2022-09-22 . |
| APA | 司鹏搏 , 周宇泽 , 李萌 , 杨睿哲 , 孙艳华 , 张延华 . 一种基于区块链和国密算法的文件信息数据存储方法 : CN202211161053.2. | 2022-09-22 . |
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摘要 ：
对不添加镇流电阻的非均匀发射极条间距的多发射极条异质结双极晶体管(HBT)的射频功率性能和表面温度分布进行了测量,并与常规采用镇流电阻的多发射极条功率HBT进行了比较。实验结果表明,对具有非均匀发射极条间距的多发射极条HBT,采用USQFITMS红外测量系统测得的最高表面温度、温度分布均匀性以及采用射频测量系统测得的射频功率增益和功率附加效率,分别低于、好于和高于具有镇流电阻的多发射极条功率HBT的情况。这些结果的取得,得益于采用非均匀发射极条间距改善了多发射极条HBT的热电正反馈和不同发射极条之间的热耦合,以及摆脱了传统HBT加镇流电阻带来的对射频功率性能的负作用。
关键词 ：
双极晶体管 双极晶体管 功率增益 功率增益 功率附加效率 功率附加效率 多指 多指 热稳定性 热稳定性 射频 射频
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| GB/T 7714 | 张正 , 张延华 , 金冬月 et al. 免镇流电阻的非均匀发射极指间距设计对多指功率双极晶体管射频功率性能的改善（英文） [J]. | 红外与毫米波学报 , 2021 , 40 (03) : 329-333 . |
| MLA | 张正 et al. "免镇流电阻的非均匀发射极指间距设计对多指功率双极晶体管射频功率性能的改善（英文）" . | 红外与毫米波学报 40 . 03 (2021) : 329-333 . |
| APA | 张正 , 张延华 , 金冬月 , 那伟聪 , 谢红云 . 免镇流电阻的非均匀发射极指间距设计对多指功率双极晶体管射频功率性能的改善（英文） . | 红外与毫米波学报 , 2021 , 40 (03) , 329-333 . |
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摘要 ：
采用新型可调谐有源电感的频率可调谐高Q低噪声的带通滤波器
关键词 ：
中心频率 中心频率 有源带通滤波器 有源带通滤波器 可调谐有源电感 可调谐有源电感
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| GB/T 7714 | 张正 , 张延华 , 温晓伟 et al. 采用新型可调谐有源电感的频率可调谐高Q低噪声的带通滤波器 [J]. | 张正 , 2021 , 44 (1) : 39-45 . |
| MLA | 张正 et al. "采用新型可调谐有源电感的频率可调谐高Q低噪声的带通滤波器" . | 张正 44 . 1 (2021) : 39-45 . |
| APA | 张正 , 张延华 , 温晓伟 , 那伟聪 , 电子器件 . 采用新型可调谐有源电感的频率可调谐高Q低噪声的带通滤波器 . | 张正 , 2021 , 44 (1) , 39-45 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
In this paper, the RF power performance and surface temperature distributions for a multi-finger power hetero-junction bipolar transistor (HBT) with non-uniform emitter finger spacing (NUEFS) without the use of emitter-ballasting-resistor (EBR) are measured, and are compared with a multi-finger power HBT with EBR. The experiment results show that for the multi-finger power HBT with NUEFS, the highest surface temperature is lowered, the uniformity of surface temperature distributions measured by US QFI Infrared TMS is improved, the RF power gain and power-added-efficiency (PAE) are increased compared with the multi-finger power HBT with EBR respectively. These results could be attributed to the improvement in positive thermoelectric feedback and thermal coupling effects among the fingers, and the riddance of adverse impact from emitter-ballasting-resistor used in traditional power HBT.
关键词 ：
bipolar transistor,radio frequency (RF) bipolar transistor,radio frequency (RF) multi-finger multi-finger thermal stability thermal stability power gain power gain power-added-efficiency (PAE) power-added-efficiency (PAE)
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| GB/T 7714 | Zhang Zheng , Zhang Yan-Hua , Jin Dong-Yue et al. RF power performance improvement of multi-finger power bipolar transistor by non-uniform emitter finger spacing design without the use of emitter ballasting resistor [J]. | JOURNAL OF INFRARED AND MILLIMETER WAVES , 2021 , 40 (3) : 329-333 . |
| MLA | Zhang Zheng et al. "RF power performance improvement of multi-finger power bipolar transistor by non-uniform emitter finger spacing design without the use of emitter ballasting resistor" . | JOURNAL OF INFRARED AND MILLIMETER WAVES 40 . 3 (2021) : 329-333 . |
| APA | Zhang Zheng , Zhang Yan-Hua , Jin Dong-Yue , Na Wei-Cong , Xie Hong-Yun . RF power performance improvement of multi-finger power bipolar transistor by non-uniform emitter finger spacing design without the use of emitter ballasting resistor . | JOURNAL OF INFRARED AND MILLIMETER WAVES , 2021 , 40 (3) , 329-333 . |
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摘要 ：
随着物联网与无人机技术的发展与结合，多种多样的网络服务与功能广泛应用于日常生活。与此同时，移动边缘计算技术的提出，也显著提高了物联网中数据计算的效率与系统性能。然而，数据计算处理的时间与系统能耗依然被视为不可忽略的问题。因此，为解决当前无人机支持的物联网系统中数据计算执行时间和能量的过度消耗，提出了联合建模数据卸载决策、数据计算决策和数据传输决策作为一个优化问题，使系统总能耗最小化。由于所提出的问题是一个混合整数非凸问题，需要将其转化为凸问题。在此基础上，提出了基于交替方向乘子算法的方法求解该优化问题。仿真结果表明了在不同系统参数下所提方案的有效性。此外，与其他已有方法相比，所提方案对系统能耗的优化效果更加显著。
关键词 ：
无人机 无人机 物联网 物联网 移动边缘计算 移动边缘计算 资源分配 资源分配
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| GB/T 7714 | 赵铖泽 , 张延华 , 李萌 et al. 无人机辅助的物联网系统中计算资源优化调度研究 [C] //第十四届全国信号和智能信息处理与应用学术会议论文集 . 2021 : 175-181 . |
| MLA | 赵铖泽 et al. "无人机辅助的物联网系统中计算资源优化调度研究" 第十四届全国信号和智能信息处理与应用学术会议论文集 . (2021) : 175-181 . |
| APA | 赵铖泽 , 张延华 , 李萌 , 叶欣宇 , 孙恩昌 . 无人机辅助的物联网系统中计算资源优化调度研究 第十四届全国信号和智能信息处理与应用学术会议论文集 . (2021) : 175-181 . |
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摘要 ：
针对含噪声心电信号在特征提取过程中存在的问题，采用小波去噪进行数据预处理，通过合理选取小波基函数、小波分解层数、阈值等参数，获得去噪后的心电信号。对心电信号进行二维时-频密度函数表征，针对连续小波变换滤波器组获取信号样本的连续小波变换，根据系数获得适配GoogLeNet网络的尺度图。联合运用时频分析和深度卷积神经网络实现心电信号分类。实验结果表明，提出的联合GoogLeNet模型可以实现心电信号的有效分类。
关键词 ：
GoogLeNet GoogLeNet 小波去噪 小波去噪 心电信号 心电信号 深度学习 深度学习
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| GB/T 7714 | 刘昱昕 , 张延华 , 杨睿哲 . 基于小波去噪和深度学习的含噪声心电信号分类 [C] //第十四届全国信号和智能信息处理与应用学术会议论文集 . 2021 : 420-423 . |
| MLA | 刘昱昕 et al. "基于小波去噪和深度学习的含噪声心电信号分类" 第十四届全国信号和智能信息处理与应用学术会议论文集 . (2021) : 420-423 . |
| APA | 刘昱昕 , 张延华 , 杨睿哲 . 基于小波去噪和深度学习的含噪声心电信号分类 第十四届全国信号和智能信息处理与应用学术会议论文集 . (2021) : 420-423 . |
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