基于遗传算法的MVB周期调度表优化

提出一种基于遗传算法的多功能车辆总线（MVB）周期信息实时调度算法. 先根据IEC61375 1国际标准确定约束条件和优化目标, 再以MVB周期信息群体为操作对象, 通过调整调度表的宽度和梯度等参数, 获得优化调度表, 以解决现有调度算法在数据传输能力和总线利用 率方面存在的不足. 仿真实验表明, 该算法相比其他算法对周期调度表的构建具有更佳的优化效果, 并提高了总线利用率.     

基于DEA-BCC模型的江苏省属高校人才发展效率研究

基于2017年江苏省高水平大学建设全国百强省属高校申报公示材料,收集了17所省属大学各项师资建设指标和学校人才培养等综合指标,建立了高层次人才、科学技术奖等含25个指标的评价体系并建立数据包络分析(DEA)的BCC模型。结果表明:南京师范大学等13所高校的人才投入-产出规模DEA有效,而南京艺术学院与江苏大学的人才发展规模非DEA有效。对比15所高校的人才发展规模综合效率排名与2017年武书连师资力量和综合实力排名,提出具有针对性与建设性的建议。     

比例公平保证下的SCMA能效资源分配研究

在倡导绿色通信的背景下,基于能效的资源分配算法是近些年研究的热点。针对稀疏码多址接入(sparse code multiple access, SCMA)下行链路系统,以保障用户服务质量为前提,降低接入网能量损耗,给出一种比例公平保证下的能效资源分配方案。将用户的最小速率需求以及传输速率比值作为约束条件进行能效资源分配。通过2个阶段的码本分配,既满足各个用户不同的速率需求,又保证了用户之间的公平性;根据已得到的码本分配方案,利用二分法求得近似最优能效下的功率分配。实验结果表明,所给出的算法在保证用户速率比例公平的前提下,也能获得较好的能效性能。     

认知无线电网络中的非正交多址资源分配算法

随着物联网的发展和移动终端的普及,用户对数据速率需求快速增长,移动通信系统依然面临着频谱资源紧缺问题。针对认知无线电网络中的非正交多址接入(non-orthogonal multiple access, NOMA)技术,研究了认知无线电网络中非正交多址信道和功率联合优化问题。以主用户干扰功率和次用户最小吞吐量以及子信道最大复用用户数为约束条件,综合考虑信道状态信息和功率资源,以提高系统能效为目标,建立了信道和功率资源分配优化模型。为了避免信道状态相近的用户复用在同一子信道上,提出了一种次优公平性可调的信道分配算法,并基于连续凸近似和Dinkelbach模型,得到子信道复用用户间的最优功率分配。仿真结果表明,所提算法可以在提高用户公平性的同时,有效提高系统能效。     

水平井偏心环空低速顶替运移机制研究

水平井固井顶替过程中,受限于现场设备,难以实现紊流顶替,而在层流流速区间内,两相流体在偏心环空中运移机制复杂。基于计算流体动力学方法,建立几何模型和数值模型,采用流体体积法对两相流体顶替界面进行追踪,研究了不同顶替流速下水平井偏心环空流体运移机制。结果表明,（1）低偏心度下,1倍隔离液用量能够实现90%顶替效率,而当偏心度大于0.5时,顶替效率相对较低,即使增加隔离液用量,也未能提高顶替效率;（2）针对套管严重偏心情况,将流速由1.0 m/s降低到0.2 m/s,有助于界面平稳发展,并多置换出6.8%钻井液,解决窄边滞留,宽边指进问题;（3）水平井偏心环空固井注替过程存在偏心效应、重力效应、黏滞效应等多方面影响,这些因素相互制约、相互作用,因此,针对现场实际井况,合理设计固井工艺参数,不仅能提高固井质量,还能起到降本增效的作用。     

Energy-efficient beamforming optimization for MISO communication based on reconfigurable intelligent surface

Reconfigurable intelligent surface (RIS), a planar metasurface consisting of a large number of low-cost reflecting elements, has received much attention due to its ability to improve both the spectrum and energy efficiency (EE) by reconfiguring the wireless propagation environment. In this paper, we propose a base station (BS) beamforming and RIS phase shift optimization technique that maximizes the EE of a RIS-aided multiple-input–single-output system. In particular, considering the system circuits’ energy consumption, an EE maximization problem is formulated by jointly optimizing the active beamforming at the BS and the passive beamforming at the RIS, under the constraints of each user’ rate requirement, the BS’s maximal transmit power budget and unit-modulus constraint of the RIS phase shifts. Due to the coupling of optimization variables, this problem is a complex non-convex optimization problem, and it is challenging to solve it directly. To overcome this obstacle, we divide the problem into active and passive beamforming optimization subproblems. For the first subproblem, the active beamforming is given by the maximum ratio transmission optimal strategy. For the second subproblem, the optimal phase shift matrix at the RIS is obtained by exploiting sine cosine algorithm (SCA). Moreover, for this case where each reflection element’s working state is controlled by a circuit switch, each reflection element’s switch value is optimized with the aid of particle swarm optimization algorithm. Finally, numerical results verify the effectiveness of our proposed algorithm compared to other algorithms.     

Secrecy energy efficiency optimization for multiuser massive MIMO wiretap systems with transmit antenna selection

Massive multiple-input-multiple-output (Massive MIMO) significantly improves the capacity of wireless communication systems. However, large-scale antennas bring high hardware costs, and security is a vital issue in Massive MIMO networks. To deal with the above problems, antenna selection (AS) and artificial noise (AN) are introduced to reduce energy consumption and improve system security performance, respectively. In this paper, we optimize secrecy energy efficiency (SEE) in a downlink multi-user multi-antenna scenario, where a multi-antenna eavesdropper attempts to eavesdrop the information from the base station (BS) to the multi-antenna legitimate receivers. An optimization problem is formulated to maximize the SEE by jointly optimizing the transmit beamforming vectors, the artificial noise vector and the antenna selection matrix at the BS. The formulated problem is a nonconvex mixed integer fractional programming problem. To solve the problem, a successive convex approximation (SCA)-based joint antenna selection and artificial noise (JASAN) algorithm is proposed. After a series of relaxation and equivalent transformations, the nonconvex problem is approximated to a convex problem, and the solution is obtained after several iterations. Simulation results show that the proposed algorithm has good convergence behavior, and the joint optimization of antenna selection and artificial noise can effectively improve the SEE while ensuring the achievable secrecy rate.     

干摩擦条件下聚甲醛塑料动力齿轮传动啮合效率的分析研究与计算

从高分子材料的粘弹性力学模型出发，推导出塑料与钢齿轮副粘滞发热损耗功率的计算公式，并以此为基础，结合塑料材料的弹性模量和滑动摩擦系数的测试数据，考虑温度、弹性模量、摩擦系数及载荷之间复杂的偶合关系，研究并提出了一种在干摩擦条件下塑料与钢齿轮副啮合效率的数值计算方法，运用这种方法，可以方便地获得任意啮合位置的瞬时啮合效率及一个啮合循环中的平均啮合效率，通过对聚甲醛与４５＾＃钢齿轮副的计算发现，在干摩     

Mixing in horizontally heterogeneous flows

An experimental study of mixing across density interfaces produced by laterally heterogenous turbulence is presented in this paper. The turbulence is generated by a flow or air bubles rising through a density interface produced by brine and fresh water. The mixing efficiency, , of the process is measured comparing the increase in potential energy with the available kinetic energy. We find that there is a decrease in the global mixing efficiency of the process with the length of the tank, the shape of (Ri) depends also on the air flow producing the turbulence, showing a geometrical limit to the ammount of kinetic energy which may be used for mixing.     

Dynamic load and inflation pressure effects on contact pressures of a forestry forwarder tire

A Trelleborg Twin 421 Mark II 600/55-26.5 steel-reinforced bias-ply forwarder drive tire at inflation pressures of 100 and 240 kPa and dynamic loads of 23.9 and 40 kN was used at 5% travel reduction on a firm clay soil. Effects of dynamic load and inflation pressure on soil–tire contact pressures were determined using six pressure transducers mounted on the tire tread. Three were mounted on the face of a lug and three at corresponding locations on the undertread. Contact angles increased with decreases in inflation pressure and increases in dynamic load. Contact pressures on a lug at the edge of the tire increased as dynamic load increased. Mean and peak pressures on the undertread generally were less than those on a lug. The peak pressures on a lug occurred forward of the axle in nearly all combinations of dynamic load, inflation pressure, and pressure sensor location, and peak pressures on the undertread occurred to the rear of the axle in most of the combinations. Ratios of the peak contact pressure to the inflation pressure ranged from 0 at the edge of the undertread for three combinations of dynamic load and inflation pressure to 8.39 for the pressure sensor on a lug, near the tire centerline, when the tire was underinflated. At constant dynamic load, net traction and tractive efficiency decreased as inflation pressure increased.