User activities and the heterogeneity of urban space:The case of Dahiyat Al Hussein park

Urban researchers have maintained a constant interest in the complexity and continuity of urban space usage. Some have applied actor–network theory (ANT) to investigate the heterogeneity of spaces and present them through the networks of their users’ activities. However, these accounts are predominantly limited in examining the extent to which these spaces may be heterogeneous when exploring such networks. This paper draws on recent ANT scholarship, which employs an ethnographic research conducted in a main park in a housing project at Dahiyat Al Hussein in Amman, Jordan. The findings describe the complex and unpredictable negotiations that occur within spaces by documenting the varieties and interrelations among user activity networks within this common and shared urban space. This research reveals the extent to which spaces, parks in this case, may be heterogeneous by unpacking their usage. The conclusions and insights assert the necessity of paying attention to design detail and creating designs that are responsive to evolving user activities.     

A constrained optimization perspective on actor–critic algorithms and application to network routing

We propose a novel actor–critic algorithm with guaranteed convergence to an optimal policy for a discounted reward Markov decision process. The actor incorporates a descent direction that is motivated by the solution of a certain non-linear optimization problem. We also discuss an extension to incorporate function approximation and demonstrate the practicality of our algorithms on a network routing application.     

Control concept for PKM considering the mechanical coupling between actors

In machines with parallel kinematic structures, the actors will interfere with each other depending on the mechanical setup. Thus, movements of one actor will directly cause disturbances on the other actors and position errors at the tool centre point. Within a research project it was shown by simulations and measurements on a hybrid kinematic machine that this interference limits the possible control loop settings.The first part of this paper discusses the possibility to increase the damping of a parallel kinematic structure, if the transformation of the kinematic coordinate systems is moved into the control loops. If this shift leads to an increased damping in the control loops, it can reduce the influence of the mechanical coupling. The project results yielded that the transformation in the control loops only has scaling effects and that these effects are different with regard to every specific transformation. Thus, the results are not commonly applicable for machine tools and manufacturing.The second part describes another research approach to increase the damping. The coupling of the actors causes the force of the first drive to act as a disturbance on the second drive. With the known disturbance and the use of a feed forward control the position error due to the coupling can be reduced by nearly 60%.     

Lost in translation? An actor-network approach to HRIS implementation

Available evidence suggests that the adoption of IT-enabled Human Resource Information Systems (HRIS) has not produced the widely predicted transformation of Human Resources (HR) to a strategic business partner. We examine the relationship between HRIS and the HR function by applying actor-network theory (ANT) to an HRIS implementation project. The focus on how actor networks are formed and reformed during implementation may be particularly well suited to explaining why the original aims of the HRIS can be displaced or lost in translation. We suggest that the approach afforded by ANT enables us to better understand the ongoing and contingent process of HRIS implementations.     

基于改进指针网络的卫星对地观测任务规划方法

针对卫星观测任务规划问题约束复杂、求解空间大和输入任务序列长度不固定的特点,使用深度强化学习（DRL）方法对卫星观测任务规划问题进行求解. 综合考虑时间窗口约束、任务间转移机动时间和卫星电量、存储约束,对卫星观测任务规划问题进行建模. 基于指针网络（PN）的运行机制建立序列决策算法模型,使用Mask向量来考虑卫星观测任务规划问题中的各类约束,并通过Actor Critic强化学习算法对模型进行训练,以获得最大的收益率. 借鉴多头注意力（MHA）机制的思想对PN进行改进,提出多头注意力指针网络（MHA-PN）算法. 根据实验结果可以看出,MHA-PN算法显著提高了模型的训练速度和泛化性能,训练好的MHA-PN算法模型可以直接对输入序列进行端到端的推理,避免传统启发式算法迭代求解的过程,具有较高的求解效率.     

Actor模型的继承机制研究

Ａｃｔｏｒ模型是一种面向对象的并发模型，但它缺乏对继承机制的支持。本文试图阐明在Ａｃｔｏｒ模型中该支持什么样的继承以及如何支持这种继承。     

利用UML获取功能需求的方法

在介绍了利用统一建模语言UML来进行功能需求分析的方法 ,并着重描述如何获取用例模型及用例之间的关系的同时 ,对需求分析在软件开发中的重要性也进行了阐述 ;并对UML和需求分析的基本原则做了简要介绍     

基于Rational统一过程的物业管理信息系统开发

Rational统一过程是一个先进的通用软件开发过程框架，遵循它的开发方法可以在进度和成本的范围内开发出高质量的软件产品，首先介绍统一过程的主要特征；然后以一个物业管理信息系统的开发为例，展示了它的实际应用过程。     

倾跌试验方法的优劣性分析

倾跌试验有多种方法,为了方便快捷地选取适用而有效的方法,本文就如何根据产品的不同外形、不同结构、不同电气性能选用适当的倾跌试验方法进行了具体分析。以便我们在工作中更准确更有效地选用。