Building Indoor Dangerous Behavior Recognition Based on LSTM-GCN with Attention Mechanism

Building indoor dangerous behavior recognition is a specific application in the field of abnormal human recognition.A human dangerous behavior recognition method based on LSTM-GCN with attention mechanism(GLA)model was proposed aiming at the problem that the existing human skeleton-based action recognition methods cannot fully extract the temporal and spatial features.The network connects GCN and LSTMnetwork in series,and inputs the skeleton sequence extracted by GCN that contains spatial information into the LSTM layer for time sequence feature extraction,which fully excavates the temporal and spatial features of the skeleton sequence.Finally,an attention layer is designed to enhance the features of key bone points,and Softmax is used to classify and identify dangerous behaviors.The dangerous behavior datasets are derived from NTU-RGB+D and Kinetics data sets.Experimental results show that the proposed method can effectively identify some dangerous behaviors in the building,and its accuracy is higher than those of other similar methods.

The Long-Term Effective Mechanism of Rural Poverty Alleviation in China from the Perspective of Ecological Management

Based on the ecological environmental situation of poverty-stricken areas in China and the domestic and foreign research results,the long-term effective mechanism of sustainable poverty alleviation in China is established(the ideological premise is ecological culture,the material base is ecological economy and the basic guarantee is ecological system) from the perspective of ecological management.To be specific,ecological culture,the ideological premise of rural sustainable poverty alleviation in China,includes two aspects:the first one is upholding the Marxism,passing on the Chinese traditional ecological wisdom and fostering ecological consciousness;the second one is mirroring the thought of western modern ecological ethics,emphasizing ecological criticism and redoubling the ecological education.As for ecological economy,the material guarantee for sustainable poverty alleviation in Chinese rural poverty-stricken areas,also contents two aspects.The first one is promoting the way of "clean production" and developing ecological industry;the second one is building ecological concept of consumption and establishing the ecological lifestyle.In addition,ecological system,the basic guarantee of sustainable poverty alleviation in Chinese rural poverty-stricken areas,covers three terms.The first one is implementing the ecological policies and stipulating ecological plan;the second one is establishing perfect ecological legislation and ecological system and intensifying their implementation;the third one is enforcing ecological management in the process of sustainable poverty alleviation.Through the establishment of the above mechanism,we look forward to realizing sustainability of economic development and poverty alleviation effects in the process of poverty alleviation in Chinese rural areas,as well as ecological management of the poverty-stricken areas.

Countermeasures for Establishing a Long-term Security Mechanism for Landless Farmers

In the process of urbanization,farmers will inevitably lose their land,which is resulted from the large-scale requisition of rural collective land.The imperfect social security system in rural areas has resulted in a large number of landless farmers being transformed into urban poor people.Therefore,proper resettlement of landless farmers and the establishment of a long-term security mechanism for ensuring the basic livelihood of landless farmers are important issues that need to be resolved in the process of China’s social and economic development.

Alkali-Silica Reaction Inhibited by LiOH and Its Mechanism

A high alkali reactive aggregate zeolitization perlite was used to test the long term effectiveness of LiOH in inhibiting alkali silica reaction.In this paper,the rigorous conditions were designed that the mortar bars had been cured at 80℃ for 3 years after autoclaved 24 hours at 150℃.Under this condition,LiOH was able to inhibit the alkali silica reaction long term effectiveness.Not only the relationship between the molar ratio of n(Li)/(Na) and the alkali contents in systems was established, but also the governing mechanism of such effects was also studied by SEM.

MICROSTRUCTURE AND MECHANICAL PROPERTIES OF Fe-Ni-Co-BASE SUPERALLOY AFTER LONGTERM AGING AT 650℃

The microstructure and mechanical properties of a Ni-Fe-Co base superalloy with low thermal expansion coefficient after aging at 650℃ for 200,500,1000 and 2000 h have been investigated.It was found that they are stable at 650℃.This alloy is believed to.fill the re- quirements for long time service to aircraft engine.

Research on Rigid-flexible Coupling Dynamics of Flexible Cone-probe Docking Mechanism

In this paper,a new kind of flexible cone composed of the thin-walled plates based on space probecone docking mechanism for small-sized spacecraft is presented.The theoretical model of docking impact dynamics,which takes into account the additional stiffness terms,is derived based on Lagrange Analytical Mechanics theory and Hertz contact theory.Finite element method is employed for the discretization of the thin-walled plate.The results show that the traditional dynamic model without considering the additional stiffness terms will be difficult to reach steady state.The method proposed in this paper can correctly predict the dynamic behavior of the system.

The Anomaly Field of Subsurface Fluids and Its Formation and Evolution Mechanism Before Three Strong Earthquakes in the Northern North China Area

The data of pre-seismic subsurface fluid anomalies of such earthquakes as Datong-YanggaoM_s6.1 event on Oct.19,1989,western Baotou M_s6.4 event on May 3,1996 and Zhangbei-Shangyi M_s6.2 event on Jan.10,1998 are systematically collected and arranged.Then thefeatures of patterns,spatial distribution,time variation and time-spatial evolution of theseanomalies are compared and comprehensively analyzed.Then the formation and evolutionmechanism of medium-and short-term anomaly field of subsurface fluids in the northernNorth China area is proposed.The results show that the medium-term anomaly field is causedby regional tectonic activities,which further strengthen the local tectonic activities andpromote the formation and evolution of the seismic source body.The enhancement of loealtectonic activities causes the formation of anomaly field of short-term subsurface fluids,andthe evolution of source body engenders the source-precursor anomalies of subsurface fluids inthe epicenters at imminent stage.

基于CNN-SAEDN-Res的短期电力负荷预测方法

基于深度学习的序列模型难以处理混有非时序因素的负荷数据,这导致预测精度不足。提出一种基于卷积神经网络(CNN)、自注意力编码解码网络(SAEDN)和残差优化(Res)的短期电力负荷预测方法。特征提取模块由二维卷积神经网络组成,用于挖掘数据间的局部相关性,获取高维特征。初始负荷预测模块由自注意力编码解码网络和前馈神经网络构成,利用自注意力机制对高维特征进行自注意力编码,获取数据间的全局相关性,从而模型能根据数据间的耦合关系保留混有非时序因素数据中的重要信息,通过解码模块进行自注意力解码,并利用前馈神经网络回归初始负荷。引入残差机制构建负荷优化模块,生成负荷残差,优化初始负荷。算例结果表明,所提方法在预测精度和预测稳定性方面具有优势。

基于注意力机制LSTM的电离层TEC预测

电离层总电子含量(Total Electron Content,TEC)的监测与预报是空间环境研究的重要内容,对卫星通讯和导航定位等有重要意义.TEC值影响因素较多,很难确定精确物理模型来对其进行预测.本文设计了基于注意力机制的LSTM模型(Att-LSTM),采用过去24小时TEC观测数据对未来TEC进行预测.选择北半球东经100°上,每2.5°纬度选择一个位置,共计36个位置来验证本文提出模型的性能,并与主流的深度学习模型如DNN、RNN、LSTM进行对比实验.取得了如下成果:(1)在选定的36个地区未来2小时单点预测上,基于本文的Att-LSTM模型的TEC预测性能明显优于其他对比模型;(2)讨论了纬度对Att-LSTM预测未来2小时TEC值时性能的影响,发现在北纬0°到60°之间,Att-LSTM预测性能随着纬度的升高而略有降低,在北纬62.5°~87.5°之间,模型预测性能出现扰动,预测效果略差;(3)讨论了磁暴期和磁静期模型的预测性能,发现无论是磁暴期还是磁静期,本文模型预测性能均较好;(4)还讨论了对未来多时点预测效果,实验结果表明,本文所提出的模型对未来2、4个小时的预测拟合度R-Square均超过0.95,预测结果比较可靠,对未来6、8、10个小时预测拟合度最高为0.7934,预测拟合度R-Square下降迅速,预测结果不可靠.

融合多源异构气象数据的光伏功率预测模型

高精度光伏功率预测对提高电力系统运行效率具有重要意义。光伏功率受多种因素影响,其中云层的变化是最主要的不确定因素。传统光伏功率预测方法没有充分考虑云的3维结构和气象要素对光伏功率的影响。因此,该文提出一种融合多源异构气象数据的多源变量光伏功率预测模型(MPPM)。MPPM的核心包括时空条件扩散模型(STCDM)、注意力堆叠LSTM网络(ASLSTM)和多维特征融合模块(MFFM)。STCDM模型通过对2维卫星云图进行精确预测,消除了云层边界处的模糊现象。ASLSTM模型则提取了3维天气研究与预报模式(WRF)气象要素特征。MFFM模块将2维卫星云图特征和3维WRF气象要素特征进行融合,以得到未来1 h光伏功率预测结果。该文分别利用STCDM模型和MPPM模型开展卫星云图预测实验和光伏功率预测实验。实验结果显示,STCDM模型预测1 h内卫星云图的结构相似性指数(SSIM)达到0.914,MPPM模型预测1 h内光伏功率的相关系数(CORR)达到0.949,优于所有对比算法。

公立医院高质量发展背景下医院运营管理工作的探索与思考

加强运营管理是公立医院高质量发展的重要内容,也是实现公立医院高质量发展的必然要求。坚持和加强党对公立医院的全面领导,建立不断完善的运营管理体系和长效机制,健全运营管理人才学习培养机制,以智慧医院建设为契机,提高医院智慧运营信息化管理水平,对公立医院高质量发展具有重要意义。

高校创新创业教育“赛创融合”评价机制构建

普通高校创新创业教育具有综合性、实践性、创造性等显著特征,既是大学生学习效能提高的重要途径与方法,同时也是中国式现代化建设人才所应具备的核心素养和关键能力的终极性表达。“赛创融合”是提升创新创业教育实施质量的重要路径,也是构建其长效激励机制的有效手段。化结果导向型为过程激励型的评价改革,是促进这一激励机制长效化的关键。高校和教师在“赛创融合”中不仅要能够甄别大学生在创新创业教育中的学习缺陷,还要为学生提供更好的学习指导,将大学生创新创业教育落实落细落长远,最终实现学生终身学习能力的培养。通过开发设计用于过程激励型评价的奖励函数,并以问卷获得学生状态的转移概率矩阵,基于最大化学生可能获得奖励的方式进行仿真,修正和改进评价指标,能够实现创新创业教育长效激励机制严密科学可操作,提升其过程激励型评价效能。

乡村振兴背景下建立农村人居环境长效管护机制的挑战与智慧化进路

全面推进乡村振兴,加快建设宜业宜居乡村更具现实紧迫性,对未来我国农村人居环境的整治成效、治理能力以及持续性管护提出了新要求。数字赋能农村人居环境长效管护治理体系、推动治理能力现代化,使长效管护工作执行便捷化,利于多方管护主体协同共治,创新了长效管护监督新格局。农村人居环境长效管护机制初步探索之期,面临农村地区人居环境基础条件不健全、管护资源匮乏、农民群众参与度较低、管护主体联动困难、人居环境监督不到位等障碍与挑战。针对此种状况,应将数字治理方式引入农村人居环境整治行动中,推进农村人居环境长效管护机制的智慧化设计,充分发挥数字技术对人居环境长效管护工作的推动作用,实现数字赋能农村人居环境生态宜居和美持续化、长效化,进而有效助力乡村振兴。

高校基金会支持大学生创新创业长效机制研究

基于“科教兴国”的战略导向和产教融合、科教融汇的高校建设发展需要,高校基金会应充分发挥其协同内外的功能优势支持大学生创新创业。依据企业生命周期理论,可以将高校基金会支持大学生创新创业划分为准备期、孵化期、成熟期、退出期四个阶段,各阶段对应创新创业项目的成长历程,呈现出不同的特征。基于此,构建涵盖创新创业四阶段的高校基金会支持大学生创新创业发展的长效机制,可为高校基金会参与大学生创新创业工作提供有益借鉴。

情境优化、结构重塑与行为纠偏:农村生态河道长效管护的路径突破

加强农村河湖管理是实施乡村振兴战略的重要任务。在自上而下的政策引导下,各级政府全面推进农村生态河道建设工作。然而,农村生态河道管护是一项长期任务和系统工程。反思既有研究从单一维度分析农村生态河道管护的局限性,在对P镇生态河道管护的运行逻辑及长效机制分析基础上发现农村生态河道要实现真正意义上的长效管护,必须构建集保障、组织、运行于一体的管护体系,并从情境优化、结构重塑、行动纠偏等三个层面提出相应的治理思路。

新时代大学生传承红色基因长效机制探赜

红色基因是中国共产党人领导中国人民在实践中不断奋进和积淀而形成的精神财富,具有无产阶级性、民族性、稳定性、历史性、实践性等特征.面对世界百年未有之大变局,各种思想文化的交流交融交锋更加频繁,新时代大学生传承红色基因面临异化风险.政府、社会、高校应遵循思想文化传播规律,协同构建完善红色基因的遗存保护利用机制、教育养成机制、传播机制、践行机制,强化新时代大学生对红色基因的身份认同、政治认同、价值认同、情感认同,推动其将红色基因转化为内心的坚守和积极的行动表达.

高职院校学风建设引导机制探索与实践——以辽宁省交通高等专科学校道路与桥梁工程系为例

学风是一所学校的灵魂和立校之本。在当前价值多元化和知识信息化时代的背景下,高职院校在学风建设方面仍然存在学生学习动力不足、教师教育教学精力投入不够、多方工作协同不足、学风建设机制不健全等问题。辽宁省交通高等专科学校道路与桥梁系基于“三全育人”的视角,以量化过程性评价和阶段性评价手段构建学风建设引导机制,探索科学化、系统化的学风建设长效机制,为高职院校学风建设提供了成功经验和案例。

基于AM-LSTM的飞行区航空器滑行轨迹预测与冲突识别

为解决航空器点源定位难以有效预测而引发冲突风险愈来愈多的问题,构建基于注意力机制(AM)和长短期记忆网络(LSTM)的时间序列轨迹预测模型AM-LSTM,预测未来短时间内飞行区航空器的瞬时点源位置;在此基础上,根据航空器型号和滑行航向对其进行轮廓扩展,以航空器速度作为安全距离权重,通过射线法实现轮廓冲突的判定;并以乌鲁木齐地窝堡机场为例进行验证,利用训练完成的轨迹预测模型预测飞行区航空器滑行轨迹,以识别航空器轮廓间的滑行冲突。结果表明:AM-LSTM预测模型能够准确预测飞行区航空器运动轨迹。未来3 s内轨迹位置预测的平均位移误差为1.05 m,轨迹点位置预测精准性可达94.37%,故能在轨迹预测的基础上精确识别滑行冲突风险,有利于保障飞行区的安全运行。

基于注意力机制与LSTM-CCN的月降水量预测

针对现有月降水量预测方法预测准确性不高的问题,提出一种基于注意力机制与LSTM-CCN的月降水量预测方法。首先,利用长短时记忆神经网络(long short-term memory neural network,LSTM)提取气象数据在时间维度的特征分布,从时间相关性方面捕获相邻时间段或长距离气象数据段中的统计分布;其次,利用因果卷积神经网络(causal convolutional network,CCN)将气象数据映射到空间维度,深层次地从空间维度捕获气象数据在空间中的特征统计分布;再次,以并联的方式将时间和空间特征作为交叉注意力网络的输入,构造融合的时空特征;最后,以长短时记忆神经网络构造解码器,并将融合的时空特征作为解码器的输入,预测的月降水量作为输出。选取河南省新乡市2001~2017年数据集进行测试,结果表明:所提出方法的均方根误差仅为13.08 mm,相比主流方法具有更低的预测误差。研究成果可为提高气象预测的准确性和实用性提供参考。

Could Long-Term Stability Last Forever?

The subject of the present paper is to prove that the recently introduced conjecture of boundedness puts a ban over the view of stability as asymptotic property. This result comes in sharp contrast with the prescription of the traditional thermodynamics and statistical physics which consider the existence of equilibrium as asymptotic property of all systems. The difference commences from the use of infinitesimal calculus as the basic implement for modelling by the latter while the primary premise of the conjecture of boundedness is sustaining the energy/matter/information permanently bounded and finite. The latter property overrules the infinitesimal calculus as the major implement of modelling because, among all, it is proven that the traditional one suffers unsoluble difficulties.