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期刊论文 8

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2022 1

2021 1

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AD9954 1

数字信号处理(DSP) 1

流量平衡;强化学习;地理信息路由;Q网络 1

直接数字合成(DDS) 1

硅微谐振器 1

车载局域网;智能交通系统;集群;自适应交通信号控制;交通控制器;燃料消耗量 1

车载自组织网络;强化学习;动态信道分配;多信道 1

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提高硅微谐振系统性能的一项有效措施

夏敦柱,王寿荣,周百令

《中国工程科学》 2006年 第8卷 第10期   页码 71-74

摘要:

介绍了硅微谐振器系统的工作原理,重点给出了一种基于新型的DDS器件AD9954的智能谐振系统设计与实现。详细分析了AD9954作为智能精密驱动源的粗细搜索两种阶段工作流程并给出与DSP器件的数字接口技术。结合实验数据和扫频曲线,得出在不同真空度环境下谐振器的两种扫频结果,并对谐振系统的工作情况给予评价。

关键词: 直接数字合成(DDS)     硅微谐振器     AD9954     数字信号处理(DSP)    

Understanding risk of thrombosis with thrombocytopenia syndrome after Ad26.COV2.S vaccination

《医学前沿(英文)》 2021年 第15卷 第6期   页码 938-941 doi: 10.1007/s11684-021-0895-9

Refined analysis of axi-symmetric circular cylinder in the axial magnetic field without ad hoc assumption

Baosheng ZHAO, Yang GAO, Yingtao ZHAO, Dechen ZHANG

《机械工程前沿(英文)》 2011年 第6卷 第3期   页码 318-323 doi: 10.1007/s11465-011-0232-0

摘要:

The refined theory for axi-symmetric magnetoelastic circular cylinder is deduced systematically and directly from linear magnetoelasticity theory. Based on the general solution of magnetoelastic equation and the Lur’e method, the refined theory yields the solutions for magnetoelastic circular cylinder without ad hoc assumptions. On the basis of the refined theory developed in the present study, solutions are obtained for magnetoelastic circular cylinder with homogeneous and non-homogenous boundary conditions, respectively. For the circular cylinder with homogeneous boundary conditions, the refined theory provides exact solutions that satisfy all of the governing equations. The exact solutions can be divided into three parts: the 2-orders equation, the transcendental equation, and the magnetic equation. In the case of non-homogenous boundary conditions, the approximate governing equations are accurate up to the high-order terms with respect to cylinder radius.

关键词: refined analysis     axially symmetric deformation     circular cylinder     Bessel’s function     axial magnetic field    

一种基于轨迹动力学的任务导向型飞行自组网赛博物理路由协议 Article

胡蝶, 杨少石, 龚旻, 冯志勇, 祝学军

《工程(英文)》 2022年 第19卷 第12期   页码 217-227 doi: 10.1016/j.eng.2021.10.022

摘要:

As a special type of mobile ad hoc network (MANET), the flying ad hoc network (FANET) has the potential to enable a variety of emerging applications in both civilian wireless communications (e.g., 5G and 6G) and the defense industry. The routing protocol plays a pivotal role in FANET. However, when designing the routing protocol for FANET, it is conventionally assumed that the aerial nodes move randomly. This is clearly inappropriate for a mission-oriented FANET (MO-FANET), in which the aerial nodes typically move toward a given destination from given departure point(s), possibly along a roughly deterministic flight path while maintaining a well-established formation, in order to carry out certain missions. In this paper, a novel cyber-physical routing protocol exploiting the particular mobility pattern of an MO-FANET is proposed based on cross-disciplinary integration, which makes full use of the mission-determined trajectory dynamics to construct the time sequence of rejoining and separating, as well as the adjacency matrix for each node, as prior information. Compared with the existing representative routing protocols used in FANETs, our protocol achieves a higher packet-delivery ratio (PDR) at the cost of even lower overhead and lower average end-to-end latency, while maintaining a reasonably moderate and stable network jitter, as demonstrated by extensive ns-3-based simulations assuming realistic configurations in an MO-FANET.

关键词: Cyber-physical system     Flying ad hoc network (FANET)     Routing protocol     Trajectory dynamics     Unmanned aerial vehicle (UAV)    

基于GPSR和Q网络的流量感知无人机ad-hoc网络路由协议 Research Articles

Yi-ning Chen, Ni-qi Lyu, Guang-hua Song, Bo-wei Yang, Xiao-hong Jiang,ch19930611@zju.edu.cn,lvniqi@gmail.com,ghsong@zju.edu.cn,boweiy@zju.edu.cn,jiangxh@zju.edu.cn

《信息与电子工程前沿(英文)》 2020年 第21卷 第9期   页码 1308-1320 doi: 10.1631/FITEE.1900401

摘要: 在流量密集的无人机ad-hoc网络中,流量拥塞会增加网络时延和丢包,大大限制网络性能。因此,需要一个流量平衡策略控制流量。本文提出TQNGPSR,一个基于GPSR和Q网络的流量感知无人机ad-hoc网络路由协议。该协议利用邻居节点的拥塞信息实现流量平衡,并用一种强化学习算法-Q网络算法-评价当前节点每条无线链接的质量。

关键词: 流量平衡;强化学习;地理信息路由;Q网络    

Increasing the performance of anaerobic digestion: Pilot scale experimental study for thermal hydrolysis of mixed sludge

S.I. PEREZ-ELVIRA, M. FDZ-POLANCO, F. FDZ-POLANCO,

《环境科学与工程前沿(英文)》 2010年 第4卷 第2期   页码 135-141 doi: 10.1007/s11783-010-0024-5

摘要: The performance of a pilot plant operation combining thermal hydrolysis (170°C, 30 min) and anaerobic digestion (AD) was studied, determining the main properties for samples of fresh mixed sludge, hydrolyzed sludge, and digested sludge, in order to quantify the thermal pretreatment performance (disintegration, solubilisation, and dewaterability) and its impact on the anaerobic digestion performance (biodegradability, volatile solids reduction, and digester rheology) and end product characteristics (dewaterability, sanitation, organic and nitrogen content). The disintegration achieved during the thermal treatment enhances the sludge centrifugation, allowing a 70% higher total solids concentration in the feed to anaerobic digestion. The digestion of this sludge generates 40% more biogas in half the time, due to the higher solids removal compared to a conventional digester. The waste generated can be dewatered by centrifugation to 7% dry solids without polymer addition, and is pathogen free.

关键词: anaerobic digestion (AD)     biogas     performance     sludge     thermal hydrolysis    

采用车载通信的自适应绿色交通信号控制 Article

Erfan SHAGHAGHI,Mohammad Reza JABBARPOUR,Rafidah MD NOOR,Hwasoo YEO,Jason J. JUNG

《信息与电子工程前沿(英文)》 2017年 第18卷 第3期   页码 373-393 doi: 10.1631/FITEE.1500355

摘要: ITSs)的一个组成部分,一种能够取代传统仪器为自适应交通信号控制系统(traffic signal controlling systems, TSCSs)提供信息来源的车载局域网(vehicular ad

关键词: 车载局域网;智能交通系统;集群;自适应交通信号控制;交通控制器;燃料消耗量    

基于多智能体强化学习的车载自组织网络协作信道分配 Research Articles

王云鹏,郑坤贤,田大新,段续庭,周建山

《信息与电子工程前沿(英文)》 2020年 第21卷 第7期   页码 1047-1058 doi: 10.1631/FITEE.1900308

摘要: 动态信道分配(DCA)在扩展车载自组织网络容量和缓解其拥塞方面起着关键作用。然而,在车—车直连通信场景下,信道分配面临大规模节点相互影响、缺乏集中式协调、全局网络状态信息未知以及其他挑战。为解决该问题,提出一种基于多智能体强化学习(RL)的协作动态信道分配(RL-CDCA)机制。具体而言,每个车辆节点都可借助2个互相协作的RL模型,从实时信道状态信息中成功学习信道选择和信道接入自适应退避的正确策略。此外,将神经网络构造为非线性Q函数逼近器,有助于将感测到的连续输入值映射到混合策略输出。多智能体RL-CDCA驱动节点共享本地奖励并合并区域内其他节点各自的奖励,以便它们能够以分布式协作方式优化各自策略。仿真结果表明,与4种现有机制相比,所提多智能体RL-CDCA算法即便在路网车辆高度密集的情况下仍能将单跳数据包传输延迟减少不小于73.73%,将平均数据包递送成功率提高不小于12.66%,并更好地保证网络资源分配公平性。

关键词: 车载自组织网络;强化学习;动态信道分配;多信道    

标题 作者 时间 类型 操作

提高硅微谐振系统性能的一项有效措施

夏敦柱,王寿荣,周百令

期刊论文

Understanding risk of thrombosis with thrombocytopenia syndrome after Ad26.COV2.S vaccination

期刊论文

Refined analysis of axi-symmetric circular cylinder in the axial magnetic field without ad hoc assumption

Baosheng ZHAO, Yang GAO, Yingtao ZHAO, Dechen ZHANG

期刊论文

一种基于轨迹动力学的任务导向型飞行自组网赛博物理路由协议

胡蝶, 杨少石, 龚旻, 冯志勇, 祝学军

期刊论文

基于GPSR和Q网络的流量感知无人机ad-hoc网络路由协议

Yi-ning Chen, Ni-qi Lyu, Guang-hua Song, Bo-wei Yang, Xiao-hong Jiang,ch19930611@zju.edu.cn,lvniqi@gmail.com,ghsong@zju.edu.cn,boweiy@zju.edu.cn,jiangxh@zju.edu.cn

期刊论文

Increasing the performance of anaerobic digestion: Pilot scale experimental study for thermal hydrolysis of mixed sludge

S.I. PEREZ-ELVIRA, M. FDZ-POLANCO, F. FDZ-POLANCO,

期刊论文

采用车载通信的自适应绿色交通信号控制

Erfan SHAGHAGHI,Mohammad Reza JABBARPOUR,Rafidah MD NOOR,Hwasoo YEO,Jason J. JUNG

期刊论文

基于多智能体强化学习的车载自组织网络协作信道分配

王云鹏,郑坤贤,田大新,段续庭,周建山

期刊论文