2003～2015年中国城市劳动力技能互补、收入水平与人口城镇化

基于2003~2015年中国256个地级市面板数据,对城市中高低技能劳动力耦合协调度进行衡量,并就扩大低技能劳动力规模对城市收入水平的影响进行了分析。主要结论为：① 过去10 a间,中国市级层面的高低技能劳动力耦合协调度总体上升,但上升幅度存在显著的区域间差异;② 七大国土区域内部的高低技能劳动力耦合协调度差异不断扩大,表明城市间高低技能劳动力流动正在加速;③ SLM和SEM模型均表明,地市级层面的低技能劳动力比重、城市收入水平和城市规模三者正相关,说明城市经济规模越大,扩大其低技能劳动力比重,越有助于提升城市总体收入水平。     

国际贸易对地区劳动力技能升级的影响——基于中国大陆地区地级市的数据分析

随着中国人口红利逐渐消失,劳动力技能升级的问题日益突出。已有研究表明,发展中国家融入全球生产网络体系并非必定能够促进劳动力技能的升级。论文以中国大陆地区主要地级市为例,利用2005、2010、2015年的面板数据,试图分析国际贸易对各地区劳动力技能结构变动及技能升级方面的影响。结果表明：出口贸易对地区高技能劳动力就业比重具有抑制作用,表现为出口贸易对劳动力技能降级的影响;而进口贸易所产生的技术扩散效应尚未显现,进出口贸易整体影响并不显著。进一步来看,从区域产业地理格局角度,对外贸易影响了不同技能水平劳动力人群的区域间流动,使得对外贸易对劳动力技能升级的影响效果在不同的区位与城市规模特征间存在显著差异。沿海城市和大城市主要表现为进口贸易显著促进高技能劳动力就业比重进而带来地区劳动力技能升级,相对于内陆地区和小城市而言,出口贸易会带来高技能劳动力就业比重下降,地区劳动力技能呈现降级趋势。     

Adaptive Predictive Inverse Control of Offshore Jacket Platform Based on Rough Neural Network

The offshore jacket platform is a complex and time-varying nonlinear system,which can be excited of harmful vibration by external loads.It is difficult to obtain an ideal control performance for passive control methods or traditional active control methods based on accurate mathematic model.In this paper,an adaptive inverse control method is proposed on the basis of novel rough neural networks (RNN) to control the harmful vibration of the offshore jacket platform,and the offshore jacket platform model is established by dynamic stiffness matrix (DSM) method.Benefited from the nonlinear processing ability of the neural networks and data interpretation ability of the rough set theory,RNN is utilized to identify the predictive inverse model of the offshore jacket platform system.Then the identified model is used as the adaptive predictive inverse controller to control the harmful vibration caused by wave and wind loads,and to deal with the delay problem caused by signal transmission in the control process.The numerical results show that the constructed novel RNN has advantages such as clear structure,fast training speed and strong error-tolerance ability,and the proposed method based on RNN can effectively control the harmfid vibration of the offshore jacket platform.     

Estimation of the wave-related ripple characteristics and induced bed shear stress

A large data set on ripples was collected and examined. A set of new formulas for the prediction of the ripple characteristics is proposed with an emphasis on the disappearance of the ripples. The ripple wavelength was observed to be proportional to the bottom wave excursion but also to be a function of the grain-related Shields parameter and wave period parameter introduced by Mogridge et al. (1994). The ripple steepness was found to be nearly constant for orbital ripples, and with a sharp decrease for suborbital ripples. Two empirical functions are added including the effects of the critical Shields parameters (inception of transport and inception of sheet flow), i.e. giving the boundaries for the ripple existence's domain. The proposed formulas yield better prediction capabilities compared to the previously published formulas, especially when ripples are washed out. The effect of the ripple characteristics on the roughness height and the calculation of the bed shear stress is also discussed. It appeared that the bed shear stress calculation is more sensitive to the empirical coefficient a_r introduced in the estimation of the ripple-induced roughness height or to the limits of existence of the ripples than the ripple characteristics themselves.     

劳动力区际流动及其人力资本再分配效应——基于技能互补性假说的理论与实证分析

由于劳动力的异质性,不同技能劳动力之间的合作和互补可以获得递增收益。客观存在的技能互补性导致技能劳动力迁入与迁入地技能劳动力需求之间的正反馈关系,从而引发了劳动力区际流动与人力资本地区集中之间的累积循环。该文基于Giannetti提出的技能互补性假说,从一个新的角度对劳动力区际流动的动因进行理论与实证分析,并揭示该假说的区域经济学含义。     

面向海上目标搜索任务的多无人机协同航路优化

提出了一种面向多无人机(unmanned aerial vehicle,UAV)协同搜索海上目标任务的航路优化方法。首先,分析多无人机协同航路优化问题的基本要素模型。然后,在对各UAV独立维护的目标概率图信息进行探测更新的基础上,采用状态预测一致性算法实现目标概率图信息的快速融合。最后,同时考虑局部搜索收益与未来搜索收益,采用分布式模型预测控制(distributed model predictive control,DMPC)方法优化各UAV的搜索航路。仿真结果表明,本研究提出的方法具有较高的搜索效率,可有效应用于海上目标的快速搜索任务,具有重要的应用价值。     

甘肃省金矿资源预测模型及潜力评价

为了更加科学有效地部署甘肃省金矿勘查找矿工作,必须对全省金资源总量作出定量预测,对省内各成矿带的金资源潜力作出定量评价。文章对甘肃省已发现的429处金矿床(点)的资料及全省1∶20万区域化探资料进行了统计和研究,建立了甘肃省金资源总量丰度估算模型、品位-储量回归预测模型及全省各成矿带金资源潜力分布模型。通过定量预测得知,甘肃省金资源总量的上限值为3166t,金资源总量为2420.6t;西秦岭成矿带的金资源潜力最大,占全省金资源潜力的37%,祁连成矿带次之,占24%,扬子成矿带占15%,北山成矿带占13%。据甘肃省岩金资源回归预测模型,岩金矿床在甘肃省具有极大的资源潜力。     

Semi-active model predictive control for 3rd generation benchmark problem using smart dampers

A semi-active strategy for model predictive control (MPC), in which magneto-rheological dampers are used as an actuator, is presented for use in reducing the nonlinear seismic response of high-rise buildings. A multi-step predictive model is developed to estimate the seismic performance of high-rise buildings, taking into account of the effects of nonlinearity, time-variability, model mismatching, and disturbances and uncertainty of controlled system parameters by the predicted error feedback in the multi-step predictive model. Based on the predictive model, a Kalman-Bucy observer suitable for semi-active strategy is proposed to estimate the state vector from the acceleration and semi-active control force feedback. The main advantage of the proposed strategy is its inherent stability, simplicity, on-line real-time operation, and the ability to handle nonlinearity, uncertainty, and time-variability properties of structures. Numerical simulation of the nonlinear seismic responses of a controlled 20-story benchmark building is carried out, and the simulation results are compared to those of other control systems. The results show that the developed semi-active strategy can efficiently reduce the nonlinear seismic response of high-rise buildings.     

主动变刚度-阻尼系统预测最优控制的理论与试验研究

介绍了一种具有自主知识产权的新型开关控制型半主动控制系统——主动变刚度.阻尼(AVS.D)系统的减振控制机理,建立了AVS.D结构振动控制体系的运动方程。为了合理补偿AVS.D系统实时控制过程中不可避免地存在着的控制时滞,本文提出一种预测最优控制算法,推导了其开关控制律。为了检验AVS.D系统的减震控制效果及预测最优控制算法的有效性,我们设计研制出AVS.D装置,编制了AVS.D系统预测最优控制的实时控制软件,在某单层钢框架模型上进行了AVS.D系统的模拟地震振动台试验,比较了不同控制方式时的减震效果。研究结果表明,本文所提出的预测最优控制算法是非常有效的,可推广应用于所有开关控制型半主动控制系统。AVS.D系统具有反应放大功能,经济可靠、安全有效,可望有较好的工程应用前景。