### 电子工程代写|嵌入式网络系统代写Embedded Networked Systems代考|ELEC5514

statistics-lab™ 为您的留学生涯保驾护航 在代写嵌入式网络系统Embedded Networked Systems方面已经树立了自己的口碑, 保证靠谱, 高质且原创的统计Statistics代写服务。我们的专家在代写嵌入式网络系统Embedded Networked Systems方面经验极为丰富，各种代写嵌入式网络系统Embedded Networked Systems相关的作业也就用不着说。

• 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|Multi-aspect Modeling for Networked

The large scale nature of networked embedded systems (NESs) influences the complexity of the architecture design from two perspectives: the architecture description and the architecture assessment. Challenges for the architecture assessment arise, for example, when dimensioning and characterizing communication channels, or when profiling power consumption and dependability of the system, among others. To cope with architecture assessment challenges, the designer has to employ adequate analysis tools relying on formal specifications of relevant aspects of the design (i.e. models).

Complex systems consist of entities that interact with each other to produce the behaviour of the system as a whole. An important characteristic of a complex system is that the properties and behaviour of the whole are emergent; that is the system level behaviour cannot simply be inferred from the properties and behaviour of the components. Many relatively simple entities interact in relatively simple ways to give rise to emergent phenomena that could not be “visible” from the definition of the entities.

The performance of interactive systems is determined in relation to the context in which the system performs its intended roles. A system that performs well in one context may not perform well in other contexts. While a system’s context may dynamically change, traditionally systems have static designs that allow operation within a limited range of context variations. The book targets systems that are sensitive to changes in the environment they operate in, and are able to adapt to a large range of contexts. The system modeling methodology used to design the system architecture must be able to address adaptivity of the system to a changing environment.

Existing modeling and assessment tools do not meet the system designer’s needs to face the challenges of designing large scale runtime reconfigurable NESs. In the following sections modeling language concepts will be introduced which better meets those needs.

## 电子工程代写|嵌入式网络系统代写Embedded Networked Systems代考|Related Work

Many approaches to multi-aspect modeling can be found it the literature. Some of them target specific application domains, while others are more general purpose.

For example, RM-ODP (Reference Model-Open Distributed Processing), a reference model introduced in the eighties as the result of a cooperative effort by the ISO (International Standards Organization) and ITU-T (International Telecommunication Union) [2-5]. RM-ODP provides a framework through which analyzing, describing and specifying a system from different perspectives, called viewpoints. Each of these viewpoints tends to satisfy a different audience concerned with specific aspects of the system. Associated with each of the viewpoints, a specialized language is defined that includes the vocabulary and the expressions of the particular audience to which it is addressed.

Another example is the Architecture Analysis and Design Language (AADL), which was standardized by the Society of Automotive Engineers (SAE) [6]. AADL defines a language for describing both the software architecture and the execution platform architectures of performance-critical, embedded, real-time systems. An AADL model describes a system as a hierarchy of components with their interfaces and their interconnections. Properties are associated to these constructions. AADL components fall into two major categories: those that represent the physical hardware and those representing the application software.

SysML is a general-purpose modeling language for systems engineering that supports the specification, analysis, design, verification and validation of a broad range of complex systems, including hardware, software, information, processes, personnel and facilities [7]. It uses a subset of UML $2.1$ and provides additional extensions needed to fulfill the requirements for the modeling language specified by the SE DSIG (Systems Engineering Domain Special Interest Group) of the OMG.
However, all these multi-aspect modeling approaches lack the possibility to describe the dynamic reconfiguration aspects of a system. The DEMANES multiaspect modeling language differs from the previous approaches, in that it contains language constructs that can effectively capture the dynamic reconfiguration behaviour of a system. This will be further discussed in Sect. $1.4$

## 电子工程代写|嵌入式网络系统代写Embedded Networked Systems代考|Related Work

SysML 是一种用于系统工程的通用建模语言，它支持广泛的复杂系统的规范、分析、设计、验证和确认，包括硬件、软件、信息、流程、人员和设施 [7]。它使用 UML 的一个子集2.1并提供满足 OMG 的 SE DSIG（系统工程领域特别兴趣组）指定的建模语言要求所需的额外扩展。

## 广义线性模型代考

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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。