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• Statistical Inference 统计推断
• Statistical Computing 统计计算
• (Generalized) Linear Models 广义线性模型
• Statistical Machine Learning 统计机器学习
• Longitudinal Data Analysis 纵向数据分析
• Foundations of Data Science 数据科学基础

## 电子工程代写|嵌入式网络系统代写Embedded Networked Systems代考|The Physical Aspect

The physical aspect is covered by a physical model. The physical model describes an abstraction of the physical resources of the system being modeled. It models the hardware resources that are used to implement/run an application. Hardware resources include processing resources (processors, cores), communication resources (communication interfaces, communication networks), storage resources (memory) and energy resources (power supply, battery). Hardware resources can be shared (processor, memory, network) or can be consumed and replenished (energy).

When a tasks and task groups are mapped to hardware resources (the nodes), the implied semantics is that these hardware resources must be shared among the mapped tasks. Node resources are shared by mapped tasks and channels are shared by the data flows between tasks mapped to neighboring nodes. The time-sharing policy can be specified using a scheduling or media access arbitration algorithm.

When the available amount of resources, the number of competing parties as well as the provided scheduling policies are all specified, one can, through simulation, derive the timeliness of the behaviour of the system as well as other emergent behavioral characteristics. With respect to memory and energy usage, one can verify if the available resources are sufficient to drive the system for a specified time span.
A physical model describes the hardware resources of the system in terms of nodes that are interconnected in a network. The nodes themselves are defined in a node definition, in which all relevant hardware components are specified, together with their properties. For example, a node will typically have a processing component with properties such as processing capacity (nrIOps/core/s, nrFLOps/core/s) and power requirements; a memory component with properties data storage capacity (memory size); an optional battery component with property energy storage capacity; and a communication hardware component with properties data transfer capacity (bandwidth) and power requirements.

## 电子工程代写|嵌入式网络系统代写Embedded Networked Systems代考|The Mapping Aspect

The mapping aspect is covered by a mapping model. A mapping model specifies how the tasks and other elements of a task model are assigned to the hardware resources of the physical model: the assignment means that the particular resource is involved in or responsible for the implementation of the task’s functionalities. It should be emphasized that multiple components of the task model can be assigned to the same resource, i.e. functional components “compete” for shared resources; consequently resource access may need synchronization and scheduling. More specifically, tasks (and task groups) are assigned to nodes and the ports are assigned to the communication interfaces of the nodes. The mapping of the dataflow links to channels is not made explicit: this mapping is implied by the port mapping. The mapping specifications can be distributed over one or several mapping models. All diagrams together must specify a complete mapping, which must be both valid and consistent.

Figure $1.7$ shows the mapping specification for the example introduced earlier. The mapping specification contains the task and task groups of the task model and the nodes of the physical model. Two kinds of mappings can be specified: task to node mappings and port to communication interface mappings. The task to node mappings are shown as dashed arrows, with a yellow background. The port to communication interface mappings are just dashed arrows. The mapping specification is completed by providing a replicator expression on the task to node mapping for the remoteDataAcq task group object. This replicator expression specifies which instance of the replicated task group is to be mapped to what instance of the replicated node. Finally, the modeling language supports the specification of parameters in all system aspects. Parameters were not used in our example application. See [9] for more information.

# 嵌入式网络系统代考

## 有限元方法代写

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## MATLAB代写

MATLAB 是一种用于技术计算的高性能语言。它将计算、可视化和编程集成在一个易于使用的环境中，其中问题和解决方案以熟悉的数学符号表示。典型用途包括：数学和计算算法开发建模、仿真和原型制作数据分析、探索和可视化科学和工程图形应用程序开发，包括图形用户界面构建MATLAB 是一个交互式系统，其基本数据元素是一个不需要维度的数组。这使您可以解决许多技术计算问题，尤其是那些具有矩阵和向量公式的问题，而只需用 C 或 Fortran 等标量非交互式语言编写程序所需的时间的一小部分。MATLAB 名称代表矩阵实验室。MATLAB 最初的编写目的是提供对由 LINPACK 和 EISPACK 项目开发的矩阵软件的轻松访问，这两个项目共同代表了矩阵计算软件的最新技术。MATLAB 经过多年的发展，得到了许多用户的投入。在大学环境中，它是数学、工程和科学入门和高级课程的标准教学工具。在工业领域，MATLAB 是高效研究、开发和分析的首选工具。MATLAB 具有一系列称为工具箱的特定于应用程序的解决方案。对于大多数 MATLAB 用户来说非常重要，工具箱允许您学习应用专业技术。工具箱是 MATLAB 函数（M 文件）的综合集合，可扩展 MATLAB 环境以解决特定类别的问题。可用工具箱的领域包括信号处理、控制系统、神经网络、模糊逻辑、小波、仿真等。

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