全球VLSI设计必备书 CMOS VLSI Design A Circuits and Systems Perspective 4th Edition

该文章是快手公司与中科大合作产出的资源型论文，即发布了一个几乎全是观测值的稠密数据集KuaiRec，该数据集包含了1411个用户对3327个短视频的交互行为，稠密度高达99.6%（一般推荐系统公开数据集的稠密度在1%以下）。“稠密数据集”意味着用户-物品矩阵中几乎没有缺失值，即每个用户都看了每个视频且留下了反馈。

A Risk-Based Approach to Compliant GxP Computerized Systems一种基于风险的符合GXP系统的方法

A Risk-Based Approach to GxP Process Control Systems.pdf

Numerous control and decision problems in networked systems can be posed as optimization problems. Examples include the framework of network utility maxi-mization for resource allocation in communication networks, multi-agent coordina-tion in robotics, and collaborative estimation in wireless sensor networks (WSNs). In contrast to classical distributed optimization, which focuses on improving compu-tational efficiency and scalability, these new applications require simple mechanisms that can operate under limited communication. In this thesis, we develop several novel mechanisms for distributed optimization under communication constraints, and apply these to several challenging engineering problems

As the main building block of the smart grid systems, microgrid (MG) integrates a number of local distributed generation units, energy storage systems, and local loads to form a small-scale, low- and medium-voltage level power system. In gen- eral, an MG can operate in two modes, i.e., the grid-connected and islanded mode. Recently, in order to standardize its operation and functionality, hierarchical con- trol for islanded MG systems has been proposed. It divides the control structure into three layers, namely, primary, secondary, and tertiary control. The primary control is based on each local distributed generation (DG) controller and is realized in a de- centralized way. In the secondary layer, the frequency and voltage restoration control as well as the power quality enhancement is usually carried out. In the tertiary con- trol, economic dispatch and power flow optimization issues are considered. However, conventionally both the secondary and tertiary control are realized in a centralized way. There are certain drawbacks to such centralized control, such as high compu- tation and communication cost, poor fault tolerance ability, lack of plug-and-play properties, and so on. In order to overcome the above drawbacks, distributed control is proposed in the secondary control and tertiary optimization in this book. In the secondary control, restorations for both voltage and frequency in the droop- controlled inverter-based islanded MG are addressed. A distributed finite-time con- trol approach is used in the voltage restoration which enables the voltages at all the DGs to converge to the reference value in finite time, and thus, the voltage and frequency control design can be separated. Then, a consensus-based distributed fre- quency control is proposed for frequency restoration, subject to certain control input constraints. The proposed control strategy can restore both voltage and frequency to their respective reference values while having accurate real power sharing, under a sufficient local stability condition established. Then the distributed control strategy is also employed in the secondary voltage unbalance compensation to replace the conventional centralized controller. The con- cept of contribution level (CL) for compensation is first proposed for each local DG to indicate its compensation ability. A two-layer secondary compensation architecture consisting of a communication layer and a compensation layer is designed for each xvii xviii Distributed Control and Optimization Technologies in Smart Grid Systems local DG. A totally distributed strategy involving information sharing and exchange is proposed, which is based on finite-time average consensus and newly developed graph discovery algorithm. In the tertiary layer, a distributed economic dispatch (ED) strategy based on pro- jected gradient and finite-time average consensus algorithms is proposed. By de- composing the centralized optimization into optimizations at local agents, a scheme is proposed for each agent to iteratively estimate a solution for the optimization problem in a distributed manner with limited communication among neighbors. It is shown that the estimated solutions of all the agents reach consensus of the optimal solution asymptomatically. Besides, two distributed multi-cluster optimization meth- ods are proposed for a large-scale multi-area power system. We first propose to divide all the generator agents into clusters (groups) and each cluster has a leader to com- municate with the leaders of its neighboring clusters. Then two different schemes are proposed for each agent to iteratively estimate a solution of the optimization prob- lem in a distributed manner. It is theoretically proved that the estimated solutions of all the agents reach consensus of the optimal solution asymptomatically. In addition, a novel hierarchical decentralized optimization architecture is proposed to solve the ED problem. Similar to distributed algorithms, each local generator only solves its own problem based on its own cost function and generation constraint. An extra co- ordinator agent is employed to coordinate all the local generator agents. Besides, it also takes the responsibility for handling the global demand supply constraint. In this way, different from existing distributed algorithms, the global demand supply con- straint and local generation constraints are handled separately, which would greatly reduce the computational complexity. It is theoretically shown that under proposed hierarchical decentralized optimization architecture, each local generator agent can obtain the optimal solution in a decentralized fashion. A distributed optimal energy scheduling strategy is also proposed in the tertiary layer, which is based on a newly proposed pricing strategy named PD pricing. Con- ventional real-time pricing strategies only depend on the current total energy con- sumption. In contrast to this, our proposed pricing strategy also takes the incremen- tal energy consumption into consideration, which aims to further fill the valley load and shave the peak load. An optimal energy scheduling problem is then formulated by minimizing the total social cost of the overall power system. Two different dis- tributed optimization algorithms with different communication strategies are pro- posed to solve the problem.

The book is structured in two parts: principles and paradigms. The first chapter is a general introduction to the subject. Then come seven chapters on individual principles we consider most important: communication, processes, naming, synchronization, consistency and replication, fault tolerance, and security.

Building Embedded Linux Systems shows you how to design and build your own embedded systems using Linux® as the kernel and freely available open source tools as the framework. Written by an active member of the open source community, the book is structured to gradually introduce readers to the intricacies of embedded Linux, with detailed information and examples in each chapter that culminate in describing how Linux is actually put on an embedded device

具有宽带可调范围和微型尺寸的K波段微机电系统（MEMS）可调带通滤波器能够满足多波段卫星通信系统的要求。 设计，分析，制造和测量了新颖的21.69–24.36 GHz MEMS可调带通滤波器。 本文还设计并分析了一个电感调谐慢波谐振器，该谐振器由MEMS电容开关，MEMS电容器和短金属线组成。 通过改变MEMS开关的电容值，所提出的滤波器具有四个不同的工作状态。 测量结果表明，对于所有四种状态，插入损耗分别为24.36、23.2、22.24和21.69 GHz时为2.81、3.27、3.65和4.03 dB。 激励电压分别为0、20、16和26V。 可调滤波器的3 dB带宽分别为5.4％，6.2％，5.7％和5.9％。 这项研究为具有宽频率可调范围的微型毫米可调滤波器的设计做出了贡献。

Communication Systems Engineering(2nd Edition)