Matching while Learning: Wireless Scheduling for Age of Information Optimization at the Edge

In this paper,we investigate the minimization of age of information(AoI),a metric that measures the information freshness,at the network edge with unreliable wireless communications.Particularly,we consider a set of users transmitting status updates,which are collected by the user randomly over time,to an edge server through unreliable orthogonal channels.It begs a natural question:with random status update arrivals and obscure channel conditions,can we devise an intelligent scheduling policy that matches the users and channels to stabilize the queues of all users while minimizing the average AoI?To give an adequate answer,we define a bipartite graph and formulate a dynamic edge activation problem with stability constraints.Then,we propose an online matching while learning algorithm(MatL)and discuss its implementation for wireless scheduling.Finally,simulation results demonstrate that the MatL is reliable to learn the channel states and manage the users’buffers for fresher information at the edge.

企业整合品牌管理的制度驱动机制研究——基于快速消费品行业企业的探索性分析

现有品牌管理研究大多基于市场或顾客的外部视角,而文章基于制度管制、规范和文化认知系统,从企业内部组织因素角度探索整合品牌管理的驱动机制。运用来自261家快速消费品企业的研究数据,识别并验证驱动企业整合品牌管理的关键制度因素;并根据样本企业整合品牌管理水平,探索不同组别企业整合品牌管理的制度驱动机制。研究结论不仅丰富整合品牌管理的影响机制探索,也为企业提升整合品牌管理水平提供管理启示。

基于模型的叠前数据多参数非线性反演

该文提出了一种基于模型的叠前数据多参数反演方法。通过测井资料建立井旁处地层模型,其模型参数包括每层的层位信息及纵波速度、横波速度与密度。以Gassmann流体置换理论为指导,区分模型中的渗透性地层与非渗透性地层,并根据研究区实际特点建立模型中每一地层相应的岩石物理回归关系及各层模型参数的先验函数。在贝叶斯原理的基础上,通过Zoeppritz方程简化公式及褶积模型建立反演参数的后验概率模型。用Marmousi2模型来检验所提出的反演算法,结果表明该方法不仅可以获得较准确的反演结果,还可以获得各参数对指示油气与否的敏感性及反演结果的多解性信息,从而降低最终决策的风险。

山东省气象干旱的游程时空特征分析

针对近年来山东省干旱引起的经济及水安全问题,开展了干旱时空特征分析。基于1961—2011年共51 a逐月降水量资料,计算15个气象站点的月降水量距平百分率(Pa)并进行干旱等级的划分和统计,对山东省干旱的时间和空间特征进行了分析,采用游程理论应用Pa值分析了研究期内山东省的干旱特征并预测其未来的干旱趋势。结果表明:研究期内,山东省逐年干旱的变化规律并不明显,西南部及北部部分地区发生干旱特别是严重干旱事件的频率及未来发生的概率高于其他地区,东部沿海地区发生干旱概率较低,未来几十年内山东省不会发生连续大烈度的干旱。

基于混合编程的《自动控制原理》辅助教学系统开发

采用基于COM组件的混合编程技术,将matlab与VB相结合,开发出《自动控制原理》辅助教学系统.该系统利用Matlab强大的数值计算分析能力和VB友好的界面开发能力,发挥了两者优点,能快速精确的获得仿真结果,且系统工作稳定,操作简单,数据直观,加深了学生对课程的理解和掌握.

Optimization of flotation variables for the recovery of hematite particles from BHQ ore

The technology for beneficiation of banded iron ores containing low iron value is a challenging task due to increasing demand of quality iron ore in India. A flotation process has been developed to treat one such ore, namely banded hematite quartzite （BHQ） containing 41.8wt% Fe and 41.5wt% SiO2,by using oleic acid, methyl isobutyl carbinol （MIBC）, and sodium silicate as the collector, frother, and dispersant, respectively. The relative effects of these variables have been evaluated in half-normal plots and Pareto charts using central composite rotatable design. A quadratic response model has been developed for both Fe grade and recovery and optimized within the experimental range. The optimum reagent dosages are found to be as follows： collector concentration of 243.58 g/t, dispersant concentration of 195.67 g/t, pH 8.69, and conditioning time of 4.8 min to achieve the maximum Fe grade of 64.25% with 67.33% recovery. The predictions of the model with regard to iron grade and recovery are in good agreement with the experimental results.

Multi-objective Optimization Design of Wing Structure with the Model Management Framework

Evolutionary algorithm is time-consuming because of the large number of evolutions and much times of finite element analysis, when it is used to optimize the wing structure of a certain high altitude long endurance unmanned aviation vehicle（UAV）. In order to improve efficiency it is proposed to construct a model management framework to perform the multi-objective optimization design of wing structure. The sufficient accurate approximation models of objective and constraint functions in the wing structure optimization model are built when using the model management framework, therefore in the evolutionary algorithm a number of finite element analyses can he avoided and the satisfactory multi-objective optimization results of the wing structure of the high altitude long endurance UAV are obtained.

开放小区对周围路网的影响

通过数学建模的方法探讨开放小区对周围路网的影响.综合分析并量化体现小区及其周围路网状况的各个因素,建立综合评价指标;简化小区结构,选取封闭模型、单条双向直道模型、十字双向直道模型和单转角单向通道模型等结构小区进行关于车流通行效率的研究,并利用Vissim软件进行仿真和定性分析,得出了在特定结构中限时开放小区利于疏通周围路网的结论.

P_1-nonconforming triangular finite element method for elliptic and parabolic interface problems

The lowest order Pl-nonconforming triangular finite element method （FEM） for elliptic and parabolic interface problems is investigated. Under some reasonable regularity assumptions on the exact solutions, the optimal order error estimates are obtained in the broken energy norm. Finally, some numerical results are provided to verify the theoretical analysis.

Robot stereo vision calibration method with genetic algorithm and particle swarm optimization

Accurate stereo vision calibration is a preliminary step towards high-precision visual posi- tioning of robot. Combining with the characteristics of genetic algorithm （GA） and particle swarm optimization （PSO）, a three-stage calibration method based on hybrid intelligent optimization is pro- posed for nonlinear camera models in this paper. The motivation is to improve the accuracy of the calibration process. In this approach, the stereo vision calibration is considered as an optimization problem that can be solved by the GA and PSO. The initial linear values can be obtained in the frost stage. Then in the second stage, two cameras＇ parameters are optimized separately. Finally, the in- tegrated optimized calibration of two models is obtained in the third stage. Direct linear transforma- tion （DLT）, GA and PSO are individually used in three stages. It is shown that the results of every stage can correctly find near-optimal solution and it can be used to initialize the next stage. Simula- tion analysis and actual experimental results indicate that this calibration method works more accu- rate and robust in noisy environment compared with traditional calibration methods. The proposed method can fulfill the requirements of robot sophisticated visual operation.

用第三只眼睛看孔子

孔子以政治为专业,强调以人为本,认为应该通过得人心的措施,来维持政权的正常运行。他反对无政府主义而重视礼乐;反对剥削而提倡通过推行仁政创造安居乐业的环境;为了政治搞教育强调诚信,重视后备官员培训。他为政治目的而进行的教育活动,对中华文化的继承和发展无疑起到承前启后的作用。因此,他不是通常意义上的教育家。

校园欺凌:内涵、困境及出路——基于社会控制理论的视角

校园欺凌事件给社会带来不良影响,也给学生身心发展带来不可预估的损害。家庭教育缺失,忽略情感支持;主流同伴疏离,越轨同伴支持;学校监管不力,教师惩戒权缺失;法律制度缺失,缺乏惩戒依据是引发欺凌问题的现实困境。可以借鉴社会控制理论来探寻校园欺凌的解决路径:唤醒亲子依恋,增强情感支持;发挥同辈群体作用,提升主体归属感;强化学校干预管理,有效预防欺凌行为;积极完善立法惩戒,引导学生树立法律意识。

熔锥型光纤耦合器的制备与测试

论述了熔锥型光纤耦合器的功率耦合理论,利用熔融拉锥法制得了3 dB单模光纤耦合器。利用可调谐光源和光谱分析仪组成的光学测试系统,测试了熔锥型光纤耦合器的附加损耗、方向性与均匀性等光学性能。实验表明,该方法具有制作简单、较低的附加损耗和良好的方向性等优点。利用扫描电子显微镜观察了光纤耦合器的表面,发现在光纤耦合器的锥区存在微裂纹,并且拉伸速度越快,微裂纹越明显;在光纤耦合器的耦合区,光纤表面存在微小晶粒,且拉伸速度越慢,晶粒越粗大。

Enhanced light absorption of silicon in the near-infrared band by designed gold nanostructures

A scheme to enhance near-infrared band absorption of a Si nanoparticle by placing the Si nanoparticle into a designed gold nanostructure is proposed. Three-dimensional （3D） finite-difference time-domain simulations are employed to calcu- late the absorption spectrum of the Si nanostructure and maximize it by generating alternate designs. The results show that in the near-infrared region over 700 nm, the absorption of a pure Si nanoparticle is very low, but when the same nanoparticle is placed within an optimally designed gold nanostructure, its absorption cross section can be enhanced by more than two orders of magnitude in the near-infrared band.

Optimal Policies for Managing Invasive Species under Uncertainty

We present an optimal control model of three stages of resources allocation for managing invasive species. Three types of temporal uncertainty are considered, involving the timing of discovery of an invasive pest, the timing of an induced technology development after the establishment and dispersion of an invasive species, and the timing of farmer adoption of induced technology as the costs of controlling the invasive species increase. Using a bioeconomic optimal control model of managing invasive species, where models in previous studies are subset within our model, we show that when sub-structured models not including all three stages are used for managing invasive species, resource allocation for adopting preventive measures before the initial discovery of an invasive pest would be supra-optimalwhile resource allocation for adopting conventional control measures after establishment and dispersion would be sub-optimal.

Design of Poiseuille Flow Controllers Using the Method of Inequalities

This paper investigates the use of the method of inequalities （MoI） to design output-feedback compensators for the problem of the control of instabilities in a laminar plane Poiseuille flow. In common with many flows, the dynamics of streamwise vortices in plane Poiseuille flow are very non-normal. Consequently, small perturbations grow rapidly with a large transient that may trigger nonlinearities and lead to turbulence even though such perturbations would, in a linear flow model, eventually decay. Such a system can be described as a conditionally linear system. The sensitivity is measured using the maximum transient energy growth, which is widely used in the fluid dynamics community. The paper considers two approaches. In the first approach, the MoI is used to design low-order proportional and proportional-integral （PI） controllers. In the second one, the MoI is combined with McFarlane and Glover＇s H∞ loop-shaping design procedure in a mixed-optimization approach.

Differential Evolution Immunized Ant Colony Optimization Technique in Solving Economic Load Dispatch Problem

Since the introduction of Ant Colony Optimization (ACO) technique in 1992, the algorithm starts to gain popularity due to its attractive features. However, several shortcomings such as slow convergence and stagnation motivate many researchers to stop further implementation of ACO. Therefore, in order to overcome these drawbacks, ACO is proposed to be combined with Differential Evolution (DE) and cloning process. This paper presents Differential Evolution Immunized Ant Colony Optimization (DEIANT) technique in solving economic load dispatch problem. The combination creates a new algorithm that will be termed as Differential Evolution Immunized Ant Colony Optimization (DEIANT). DEIANT was utilized to optimize economic load dispatch problem. A comparison was made between DEIANT and classical ACO to evaluate the performance of the new algorithm. In realizing the effectiveness of the proposed technique, IEEE 57-Bus Reliable Test System (RTS) has been used as the test specimen. Results obtained from the study revealed that the proposed DEIANT has superior computation time.

Analysis of Finger Muscular Forces using a Wearable Hand Exoskeleton System

In this paper, the finger muscular forces were estimated and analyzed through the application of inverse dynamics-based static optimization, and a hand exoskeleton system was designed to pull the fingers and measure the dynamics of the hand. To solve the static optimization, a muscular model of the hand flexors was derived. The experimental protocol was devised to analyze finger flexors in order to evaluate spasticity of the clenched fingers; muscular forces were estimated while the flexed fingers were extended by the exoskeleton with external loads applied. To measure the finger joint angles, the hand exoskeleton system was designed using four-bar linkage structure and potentiometers. In addition, the external loads to the fingertips were generated by cable driven actuators and simultaneously measured by loadcells which were located at each phalanx. The ex- periments were performed with a normal person and the muscular forces estimation results were discussed with reference to the physical phenomena.

Parallel Algorithms for Large-scale Linearly Constrained Minimization Problem

In this paper, two PVD-type algorithms are proposed for solving inseparable linear constraint optimization. Instead of computing the residual gradient function, the new algorithm uses the reduced gradients to construct the PVD directions in parallel computation, which can greatly reduce the computation amount each iteration and is closer to practical applications for solve large-scale nonlinear programming. Moreover, based on an active set computed by the coordinate rotation at each iteration, a feasible descent direction can be easily obtained by the extended reduced gradient method. The direction is then used as the PVD direction and a new PVD algorithm is proposed for the general linearly constrained optimization. And the global convergence is also proved.

Nonlinear Distributed Model Predictive Control for Multiple Missiles Against Maneuvering Target with a Trajectory Predictor

This study aims to solve the problem of multi-missile simultaneous attacks on maneuvering target.The challenges include multimissile cooperative control and target's trajectory prediction.A controller based on nonlinear distributed model predictive control(NDMPC)is designed for multiple missiles against a maneuvering target,and a trajectory prediction inethod based on particle swarm optimization(PSO)algorithm is proposed.This study has mainly completed the following three aspects of work.Firstly,the cost function of the cont roller is constructed to optimize the accuracy and synchronization of the multi-missile system with consideration of collision avoidance.Secondly,the velocity control of the leading missile is designed by using the range-to-go in-formation in real time to ensure the attack fficiency and the control of the terminal velocity difference.Finally,a kinematic model of the target is cstimated by using short-term real-time data with the PSO algorithm.The established model is employed to predict the target trajectory in the interval between radar scans.Numerical simulation results of two different s enarios demonstrate the effectiveness of the proposed cooperative guidance approach.