A method of developing regional road traffic noise management strategies

Road traffic noise management strategies or noise action plans are a necessary tool for pro-active road traffic noise management. A method is proposed for regional scale noise action plans, in part using noise mapping, which is flexible towards various data qualities. A six step method is proposed which links GIS data to road traffic noise calculation methods with the final strategies being presented in GIS format. A ‘Parcel Priority Index’ and a ‘Link Priority Index’ are presented as key variables in the production of regional strategies and planning visions on a road link basis. The noise management strategy method presented is used on a large regional area in South East Queensland, Australia which covers seven local government areas. The results presented indicate the method is successful in prioritising road links equitably for detailed road traffic noise management actions.     

新农科背景下大学物理绪论课设计与实践

在高等农林教育提出新农科建设的时代背景下,针对学科深度交叉融合的新要求,聚焦我国未来农业发展的方向,基于"精准农业"介绍了一堂与学生专业相关联的大学物理绪论课的教学设计,并付诸实践.激发了学生对大学物理的重视程度和求知欲,提高了课堂教学效果,为优秀农林人才培养和新农科建设提供了有益的尝试.     

参数模型下的时间序贯检验方案

本文研究参数模型下的序贯检验方案 .而以往的序贯检验方案往往采取非参数模型 .由于参数模型在生产实践中是常见的形式 .所以这个检验方案对于产品的检验具有指导意义 .     

A least commitment approach to avoiding protection violations in nonlinear planning

We suggest one alternative approach to creating a valid plan in which all temporal constraints are mutually satisfiable and all preconditions for actions hold where required. While simultaneously maintaining information on the status of protection intervals for all required preconditions in the plan, our approach avoids premature imposition of temporal constraints to correct for protection violations. At the expense of additional bookkeeping, we adopt the least commitment strategy of attempting to correct those protection violations which can be corrected in only one way. By postponing choice as much as possible, we attempt to generate a search tree with fewer nodes. Since scheduling problems which arise in our planning context are inherently intractable, our approach does not rule out the possibility of extensive search. However, it might well be a preferable mechanism for a planner which adopts a general least commitment strategy.     

The master bay plan problem: a solution method based on its connection to the three-dimensional bin packing problem

This paper addresses the problem of determining stowage plansfor containers in a ship, referred to as the Master Bay PlanProblem (MBPP). MBPP is NP-complete. We present a heuristic method for solvingMBPP based on its relation with the three-dimensional bin packingproblem (3D-BPP), where items are containers and bins are differentportions of the ship. Our aim is to find stowage plans, takinginto account structural and operational constraints relatedto both the containers and the ship, that minimize the timerequired for loading all containers on board. A validation of the proposed approach with some test casesis given. The results of real instances of the problem involvingmore than 1400 containers show the effectiveness of the proposedapproach for large scale applications.     

On stopped decision processes with discrete time parameter

A non-stationary stopped decision process is investigated under rather weak convergence assumptions on the expected total rewards. Sufficient conditions are given for the approximation of the maximal conditional expected rewards from infinite stage play by the maximal conditional expected rewards from finite stage play. General criteria of optimality are derived. The results are essentially based on two lemmas given in this paper. The existence of optimal plans is established using results of non-stationary dynamic programming.     

基于优质课的化学课堂语言行为特征分析

运用弗兰德斯互动分析理论对所选择的10节优质课课例进行分析,从课堂教学结构、教学氛围、常用的教学行为、提问的创新程度等4个方面研究,帮助一线教师更好地把握无机元素化合物内容的教学本质,以实现优质课常态化。     

带有通胀风险的退休后最优投资-年金化时刻决策

研究了带通货膨胀的确定缴费养老计划退休后最优投资-年金化决策。假设通货膨胀过程是一个随机过程,建立了真实财富的波动过程。先相对固定年金化时刻,采取目标定位型模型,预设未来各时期的投资目标,利用贝尔曼优化原理,得到从退休时刻到相对固定年金化时刻之间的最优投资策略。接着建立了最优年金化时刻的评估标准,最优的年金化时刻使得年金化前后的累加消费折现均值得到最大。证明了在随机通货膨胀的假设下,传统的自然投资目标不存在;当随机通胀过程退化到确定过程时,求出了自然投资目标的显式表达式,并且在这两种情况下,分析了通胀情况对最优投资策略的影响。最后利用数值分析手段, 研究了通货膨胀、风险偏好、折现率对最优年金化时刻的影响。     

激励机制和VaR约束下的DC养老金计划的最优投资

研究了DC养老金经理在单一管理费以及混合收费(同时收取管理费与绩效费)这两种不同的薪酬机制和损失厌恶下的最优投资组合问题。利用凹化方法得到了存在终端财富约束下的最优财富过程和最优投资策略的解析表达式。数值结果表明损失厌恶,VaR约束和薪酬机制会极大地影响最优终端财富的分布。特别地,在决策参照点较高时,损失厌恶会导致混合薪酬机制下最优终端财富的尾部风险较低。     

A risk-based premium: What does it mean for DB plan sponsors?

This paper develops a risked-based premium calculation model for the insurance provided by the Pension Benefit Guaranty Corporation (PBGC). It takes account of the pension fund’s and the plan sponsor’s investment policy and extends Chen (2011) by considering distress termination triggered by the sponsor’s underfunding. We empirically illustrate our theoretical pricing formula for the 100 biggest American DB sponsoring companies. Our result clearly casts doubt on the current practice where about 70% of the PBGC premiums charged are flat. We observe that the funding ratio and the leverage are the main risk factors in a risk-based premium calculation.