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数字通信与网络:英文版 2023年第4期9卷 971-980页

作者： Tianci Zhang Junjie Zhou Zhengchuan Chen Zhong Tian wanli wen Yunjian Jia School of Microelectronics and Communication Engineering Chongqing UniversityChongqing400044China National Mobile Communications Research Laboratory Southeast UniversityNanjingChina

The Internet of things(IoT)has become a key infrastructure providing up-to-date and fresh information for policy analysis and decision-making of upper-layer applications.However,there are limited sensing and communication resources in IoT devices,which significantly affects the timeliness and freshness of the updated status.This work proposes two schemes,namely,the generation rate control and service rate reservation schemes,to improve the overall information freshness of multiple status update streams at the receiver.Specifically,using the recently proposed Age of Information(AoI)as the metric for evaluating information freshness,we characterized the overall information freshness,i.e.,the overall average AoI at the receiver for both schemes,by considering the urgency difference of status update and streams.Both schemes for status updates and streams,respectively,were formulated as two optimization problems.We proved that both problems are convex and the optimal generation and service rates for different streams are found by the standard convex optimization algorithm.Moreover,we proposed both approximate optimal generation and approximate optimal service rate for fast deployment in heavy and light load cases.Numerical results verify the theoretical findings and accuracy of the proposed approximate solutions,guiding the design and deployment of IoT.

关键词： Internet of things Information freshness Age of information Multi-source M/M/1 queuing model

Joint Optimization of Task Caching,Computation Offloading and Resource Allocation for Mobile Edge Computing

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China Communications 2022年第12期19卷 142-159页

作者： Zhixiong Chen Zhengchuan Chen Zhi Ren Liang Liang wanli wen Yunjian Jia School of Microelectronics and Communication Engineering Chongqing UniversityChongqing400044 China Chongqing Key Laboratory of Space Information Network and Intelligent Information Fusion Chongqing400044 China National Mobile Communications Research Laboratory Southeast UniversityNanjing210096 China School of Communication and Information Engineering Chongqing University of Posts and TelecommunicationsChongqing400065 China

Applications with sensitive delay and sizeable data volumes,such as interactive gaming and augmented reality,have become popular in recent years.These applications pose a huge challenge for mobile users with limited resources.Computation offloading is a mainstream technique to reduce execution delay and save energy for mobile users.However,computation offloading requires communication between mobile users and mobile edge computing(MEC) servers.Such a mechanism would difficultly meet users’ demand in some data-hungry and computation-intensive applications because the energy consumption and delay caused by transmissions are considerable expenses for users.Caching task data can effectively reduce the data transmissions when users offload their tasks to the MEC server.The limited caching space at the MEC server calls for judiciously decide which tasks should be cached.Motivated by this,we consider the joint optimization of computation offloading and task caching in a cellular network.In particular,it allows users to proactively cache or offload their tasks at the MEC server.The objective of this paper is to minimize the system cost,which is defined as the weighted sum of task execution delay and energy consumption for all users.Aiming at establishing optimal performance bound for the system design,we formulate an optimization problem by jointly optimizing the task caching,computation offloading,and resource allocation.The problem is a challenging mixed-integer non-linear programming problem and is NP-hard in general.To solve it efficiently,by using convex optimization,Karmarkar ’s algorithm and the proposed fast search algorithm,we obtain an optimal solution of the formulated problem with manageable computational complexity.Extensive simulation results show that in comparison to some representative benchmark methods,the proposed solution can effectively reduce the system cost.

关键词： mobile edge computing computation offloading caching resource allocation

Joint Scheduling and Resource Allocation for Federated Learning in SWIPT-Enabled Micro UAV Swarm Networks

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China Communications 2022年第1期19卷 119-135页

作者： wanliwen Yunjian Jia wenchao Xia School of Microelectronics and Communication Engineering Chongqing UniversityChongqing 400044China National Mobile Communications Research Laboratory Southeast UniversityNanjing 210009China Jiangsu Key Laboratory of Wireless Communications Nanjing University of Posts and TelecommunicationsNanjing 210003China

Micro-UAV swarms usually generate massive data when performing tasks. These data can be harnessed with various machine learning(ML) algorithms to improve the swarm’s intelligence. To achieve this goal while protecting swarm data privacy, federated learning(FL) has been proposed as a promising enabling technology. During the model training process of FL, the UAV may face an energy scarcity issue due to the limited battery capacity. Fortunately, this issue is potential to be tackled via simultaneous wireless information and power transfer(SWIPT). However, the integration of SWIPT and FL brings new challenges to the system design that have yet to be addressed, which motivates our work. Specifically,in this paper, we consider a micro-UAV swarm network consisting of one base station(BS) and multiple UAVs, where the BS uses FL to train an ML model over the data collected by the swarm. During training, the BS broadcasts the model and energy simultaneously to the UAVs via SWIPT, and each UAV relies on its harvested and battery-stored energy to train the received model and then upload it to the BS for model aggregation. To improve the learning performance, we formulate a problem of maximizing the percentage of scheduled UAVs by jointly optimizing UAV scheduling and wireless resource allocation. The problem is a challenging mixed integer nonlinear programming problem and is NP-hard in general. By exploiting its special structure property, we develop two algorithms to achieve the optimal and suboptimal solutions, respectively. Numerical results show that the suboptimal algorithm achieves a near-optimal performance under various network setups, and significantly outperforms the existing representative baselines. considered.

关键词： micro unmanned aerial vehicle federated learning simultaneous wireless information and power transfer scheduling resource allocation

基于中医“衡-和”思维辨治恶性肿瘤理论探微与体系建构

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中华中医药杂志 2024年第1期39卷 60-64页

作者：温俊凯汪舒云范忠泽邓皖利上海中医药大学附属普陀医院上海200062

中医药的应用贯穿于恶性肿瘤辨治的各个阶段,成效日益突显。为继承并发扬中医独到的原创优势,文章从古代中庸哲学思想与中医思维出发,钩沉“衡-和”思维之渊薮,围绕恶性肿瘤发病时机体内部稳态倾移与偏颇之特点,首倡以调衡致和为纲,求... 详细信息

中医药的应用贯穿于恶性肿瘤辨治的各个阶段,成效日益突显。为继承并发扬中医独到的原创优势,文章从古代中庸哲学思想与中医思维出发,钩沉“衡-和”思维之渊薮,围绕恶性肿瘤发病时机体内部稳态倾移与偏颇之特点,首倡以调衡致和为纲,求衡于动、时、势、气4个层面,致和于阴阳、形神、五脏、天人4个维度。总结凝练“衡-和”六法,由博返约,化简驭繁,为创建肿瘤辨治新体系提供形而上的思度与探索。

关键词：中医 “衡-和”思维恶性肿瘤理论探微体系建构

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建构当代中国建筑理论的新议程

建筑学报 2024年第1期 6-13页

作者：李翔宁莫万莉王雪睿闻增鑫同济大学建筑与城市规划学院上海200092

基于建筑理论之概念溯源、历史回顾及其当下所面临的挑战,勾勒出当代中国建筑理论体系建构的新议题、新方法与新特征。基于对1960年代以来全球建筑理论发展的回顾,指出建筑理论在当下需要应对建成环境、社会文化、新兴技术和气候变化4... 详细信息

基于建筑理论之概念溯源、历史回顾及其当下所面临的挑战,勾勒出当代中国建筑理论体系建构的新议题、新方法与新特征。基于对1960年代以来全球建筑理论发展的回顾,指出建筑理论在当下需要应对建成环境、社会文化、新兴技术和气候变化4方面的挑战。基于对当代中国建筑理论发展状况的梳理,指出其在连续性、原创性、体系性方面的欠缺。在上述基础上,讨论未来建筑理论体系建构的新议程。

关键词：建筑理论当代中国建筑新兴技术文化身份全球视野

Linguistic Steganalysis via Fusing Multi-Granularity Attentional Text Features

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Chinese Journal of Electronics 2023年第1期32卷 76-84页

作者： wen Juan DENG Yaqian PENG wanli XUE Yiming College of Information and Electrical Engineering China Agricultural University

Deep learning based language models have improved generation-based linguistic steganography,posing a huge challenge for linguistic steganalysis. The existing neural-network-based linguistic steganalysis methods are incompetent to deal with complicated text because they only extract single-granularity features such as global or local text features. To fuse multi-granularity text features, we present a novel linguistic steganalysis method based on attentional bidirectional long-shortterm-memory(BiLSTM) and short-cut dense convolutional neural network(CNN). The BiLSTM equipped with the scaled dot-product attention mechanism is used to capture the long dependency representations of the input sentence. The CNN with the short-cut and dense connection is exploited to extract sufficient local semantic features from the word embedding matrix. We connect two structures in parallel, concatenate the long dependency representations and the local semantic features, and classify the stego and cover texts. The results of comparative experiments demonstrate that the proposed method is superior to the state-of-the-art linguistic steganalysis.

关键词： Information hiding Natural language processing Linguistic steganalysis Attentional BiLSTM Dense connection

川北-鄂西地区中二叠统层序岩相古地理演化及页岩气勘探潜力

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地球科学 2024年第2期49卷 712-748页

作者：邱振窦立荣吴建发韦恒叶刘雯孔维亮张琴蔡光银张淦吴伟李世臻曲天泉高万里中国石油天然气股份有限公司勘探开发研究院北京100083 国家能源页岩气研发(实验)中心北京100083 中国石油西南油气田分公司页岩气研究院四川成都610051 西南石油大学地球科学与技术学院四川成都610500 中国地质调查局油气资源调查中心北京100083

近两年我国南方川北-鄂西地区上二叠统吴家坪组-大隆组取得了页岩气重大勘探突破,并在中二叠统孤峰组发现了勘探新苗头,但其富有机质层段的分布规律及其页岩气资源潜力仍不清楚.通过对川北-鄂西地区中二叠统地层开展沉积相识别与层序地... 详细信息

近两年我国南方川北-鄂西地区上二叠统吴家坪组-大隆组取得了页岩气重大勘探突破,并在中二叠统孤峰组发现了勘探新苗头,但其富有机质层段的分布规律及其页岩气资源潜力仍不清楚.通过对川北-鄂西地区中二叠统地层开展沉积相识别与层序地层对比划分,分析不同层序的岩相古地理演化特征,进而探讨该区孤峰组富有机质层段的分布规律与页岩气资源潜力.研究结果表明:川北-鄂西地区中二叠统可划分为3个三级层序SQ1、SQ2和SQ3,其中层序SQ3对应于孤峰组,沉积于卡匹敦晚期;层序SQ3沉积时期,该区在碳酸盐岩台地(对应层序SQ1和SQ2)基础上发育了3个北西向展布的深水盆地,即鄂西盆地、开江-梁平台盆(海槽)和广旺台盆(海槽);孤峰组硅质岩与硅质页岩层段的有机碳TOC含量较高(平均TOC含量为3%~10%),且展布相对连续稳定;峨眉山地幔柱事件驱动了该区中二叠世晚期深水斜坡-盆地环境的形成,从而控制着孤峰组富有机质硅质岩与硅质页岩的大规模区域性沉积.基于上述分析,综合硅质岩及硅质页岩有效厚度、TOC含量、构造保存条件等页岩气地质评价要素,在川东北至湘鄂西地区优选出5个有利区,面积约为1.2×10^(4)km^(2),估算总资源量约1.75×10^(12)m^(3),展示了良好的页岩气勘探开发潜力.

关键词：页岩气三级层序沉积相孤峰组四川盆地鄂西盆地非常规油气沉积学石油地质

Digital twins in smart farming:An autoware-based simulator for autonomous agricultural vehicles

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International Journal of Agricultural and Biological Engineering 2023年第4期16卷 184-189页

作者： Xin Zhao wanli Wang Long wen Zhibo Chen Sixian Wu Kun Zhou Mengyao Sun Lanjun Xu Bingbing Hu Caicong Wu College of Information and Electrical Engineering China Agricultural UniversityBeijing 100083China Key Laboratory of Agricultural Machinery Monitoring and Big Data Application Ministry of Agriculture and Rural AffairsBeijing 100083China The Bureau of Agriculture and Rural Affairs of Urumchi Xinjiang Uygur Autonomous RegionUrumchi 830000China Research&Advanced Engineering AGCO A/SDK-8930 RandersDenmark Beijing Agricultural Machinery Experiment Appraisal Extension Station Beijing 100079China Kunlun Beidou Intelligence Technologies Co.Ltd. Beijing 102200China

Digital twins can improve the level of control over physical entities and help manage complex systems by integrating a range of technologies.The autonomous agricultural machine has shown revolutionary effects on labor reduction and utilization rate in field works.Autonomous vehicles in precision agriculture have the potential to improve competitiveness compared to current crop production methods and have become a research hotspot.However,the development time and resources required in experiments have limited the research in this area.Simulation tools in unmanned farming that are required to enable more efficient,reliable,and safe autonomy are increasingly demanding.Inspired by the recent development of an open-source virtual simulation platform,this study proposed an autoware-based simulator to evaluate the performance of agricultural machine guidance based on digital twins.Oblique photogrammetry using drones is used to construct threedimensional maps of fields at the same scale as reality.A communication format suitable for agricultural machines was developed for data input and output,along with an inter-node communication methodology.The conversion,publishing,and maintenance of multiple coordinate systems were completed based on ROS(Robot Operating System).Coverage path planning was performed using hybrid curves based on Bézier curves,and it was tested in both a simulation environment and actual fields with the aid of Pure Pursuit algorithms and PID controllers.

关键词： autoware simulation platform autonomous agricultural vehicle digital twin autonomous robots

郑氏中医非手术疗法联合腹式呼吸训练治疗破裂型腰椎间盘突出症的临床疗效

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辽宁中医杂志 2024年第2期51卷 179-183页

作者：杜万里王一王澜洁廖世川夏姣李曰文李涛文江谢一飞戴国钢四川省骨科医院颈肩腰腿痛2科四川成都610041

目的探讨郑氏中医非手术疗法联合腹式呼吸训练对破裂性腰椎间盘突出(ruptured lumbar disc herniation,RLDH)患者矢状面平衡参数、疼痛、功能障碍和生活质量的影响。方法回顾性分析该院2017年10月—2020年3月389例破裂型腰椎间盘突出症... 详细信息

目的探讨郑氏中医非手术疗法联合腹式呼吸训练对破裂性腰椎间盘突出(ruptured lumbar disc herniation,RLDH)患者矢状面平衡参数、疼痛、功能障碍和生活质量的影响。方法回顾性分析该院2017年10月—2020年3月389例破裂型腰椎间盘突出症患者资料,根据治疗方法不同分为对照组137例(西医常规治疗联合腹式呼吸训练)和观察组252例(郑氏中医非手术疗法联合腹式呼吸训练),比较治疗前、治疗2周疼痛情况、腰部功能障碍、生活质量,12个月后随访,比较矢状面平衡参数变化。结果治疗后,两组NRS评分均随时间延长而显著降低,各时间点差异有统计学意义,且观察组治疗1、2周及治疗后12个月NRS评分显著低于对照组(P0.05),且观察组SS、LL高于对照组(P<0.05),PT低于对照组(P<0.05);治疗2周期间以及治疗12个月后,两组无不良反应发生。结论郑式中医非手术疗法联合腹式呼吸训练在近期和远期均能减轻RLDH患者腰部疼痛,改善功能障碍、生活质量,并改善矢状面平衡。

关键词：腰椎间盘突出非手术疗法腹式呼吸训练矢状面平衡参数

前馈控制理念下的系统化护理应用在抗血小板药物治疗脑梗死患者期间的效果

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中国药物滥用防治杂志 2024年第3期30卷 574-578页

作者：王云香孔一帆董万里杨钰郭心阳李祥欣闻公灵南阳市中心医院神经内科河南南阳473005

目的:探析前馈控制理念下的系统化护理在脑梗死抗血小板药物治疗期间的应用效果。方法:回顾性分析2022年11月—2023年8月在本院接受抗血小板药物治疗的102例脑梗死患者资料,将其中51例接受系统化护理干预患者纳入对照组,51例接受前馈控... 详细信息

目的:探析前馈控制理念下的系统化护理在脑梗死抗血小板药物治疗期间的应用效果。方法:回顾性分析2022年11月—2023年8月在本院接受抗血小板药物治疗的102例脑梗死患者资料,将其中51例接受系统化护理干预患者纳入对照组,51例接受前馈控制理念下的系统化护理干预患者纳入观察组。比较两组心理状态[焦虑自评量表(SAS)、抑郁自评量表(SDS)]、治疗依从性、肢体运动功能[简式Fugl-Meyer评估量表(FMA)]、日常生活活动能力[Barthel Index指数量表(BI)]。结果:干预结束时,观察组SDS、SAS评分低于对照组,治疗依从性及上肢、下肢运动功能评分、BI评分评分高于对照组(P<0.05)。结论:在脑梗死抗血小板药物治疗期间实施前馈控制理念下的系统化护理,更利于改善患者心理状态,提高患者治疗依从性,促使肢体运动功能恢复,进一步提高患者日常生活活动能力。

关键词：脑梗死抗血小板药物系统化护理前馈控制理念心理依从性