Enterprise Application Architecture with .NET Core by Ganesan Senthilvel
English | 25 Apr. 2017 | ASIN: B01M18CQNP | 564 Pages | AZW3 | 9.94 MB
Architect and design highly scalable, robust, clean and highly performant <em>application</em>s in .NET Core 1.0
About This Book
Incorporate architectural soft-skills such as DevOps and Agile methodologies to enhance program-level objectives
Gain knowledge of architectural approaches on the likes of SOA <em>architecture</em> and microservices to provide traceability and rationale for architectural decisions
Explore a variety of <em>practical</em> use cases and code examples to implement the tools and techniques described in the book
Who This Book Is For
This book is for experienced .NET developers who are aspiring to become architects of enterprise-grade <em>application</em>s, as well as software architects who would like to leverage .NET to create effective blueprints of <em>application</em>s.
What You Will Learn
Grasp the important aspects and best practices of <em>application</em> lifecycle management
Leverage the popular ALM tools, <em>application</em> insights, and their usage to monitor performance, testability, and optimization tools in an enterprise
Explore various authentication models such as social media-based authentication, 2FA and OpenID Connect, learn authorization techniques
Explore Azure with various solution approaches for Microservices and Serverless <em>architecture</em> along with Docker containers
Gain knowledge about the recent market trends and practices and how they can be achieved with .NET Core and Microsoft tools and technologies
If you want to design and develop enterprise <em>application</em>s using .NET Core as the development framework and learn about industry-wide best practices and guidelines, then this book is for you.
The book starts with a brief introduction to enterprise <em>architecture</em>, which will help you to understand what enterprise <em>architecture</em> is and what the key components are. It will then teach you about the types of patterns and the principles of software development, and explain the various aspects of distributed computing to keep your <em>application</em>s effective and scalable. These chapters act as a catalyst to start the <em>practical</em> implementation, and design and develop <em>application</em>s using different architectural approaches, such as layered <em>architecture</em>, service oriented <em>architecture</em>, microservices and cloud-specific solutions.
Gradually, you will learn about the different approaches and models of the Security framework and explore various authentication models and authorization techniques, such as social media-based authentication and safe storage using app secrets. By the end of the book, you will get to know the concepts and usage of the emerging fields, such as DevOps, BigData, architectural practices, and Artificial Intelligence.
Style and approach
Filled with examples and use cases, this guide takes a no-nonsense approach to show you the best tools and techniques required to become a successful software architect.
Abstract. Currently, the neural network <em>architecture</em> design is mostly
guided by the indirect metric of computation complexity, i.e., FLOPs.
However, the direct metric, e.g., speed, also depends on the other factors
such as memory access cost and platform characterics. Thus, this work
proposes to evaluate the direct metric on the target platform, beyond
only considering FLOPs. Based on a series of controlled experiments,
this work derives several <em>practical</em> guidelines for efficient network de-
sign. Accordingly, a new <em>architecture</em> is presented, called ShuffleNet V2.
Comprehensive ablation experiments verify that our model is the state-
of-the-art in terms of speed and accuracy tradeoff.
英文名称:Martin Fowler的《Patterns of Enterprise Application Architecture》
Martin Fowler的《Patterns of Enterprise Application Architecture》，相信看完这本书，对于分层思想的理解和分层中具体模式的运用决策都会有大幅提高。你会明白，原来分层不是只有“DAL”、“BLL”，原来分层还有怎么多内在的东西。
Optimizing Java_Practical Techniques for Improving JVM Application Performance(2018.05).A4.pdf
Currently, no books exist that focus on the <em>practical</em>ities of Java <em>application</em>
performance tuning, as opposed to the theory and internals of Java virtual machines.
This <em>practical</em> guide is the "missing link" that aims to move Java performance tuning
from the realm of guesswork and folklore to an experimental science.
The ARM <em>architecture</em> has evolved through several major revisions to a point where it supports
implementations across a wide spectrum of performance points, with over a billion parts per annum being
produced. The latest version (ARMv7) has seen the diversity formally recognised in a set of <em>architecture</em>
profiles, the profiles used to tailor the <em>architecture</em> to different market requirements. A key factor is that the
<em>application</em> level is consistent across all profiles, and the bulk of the variation is at the system level.
Start programming robots NOW!
Learn hands-on, through easy examples, visuals, and code
This is a unique introduction to programming robots to execute tasks autonomously. Drawing on years of experience in artificial intelligence and robot programming, Cameron and Tracey Hughes introduce the reader to basic concepts of programming robots to execute tasks without the use of remote controls.
Robot Programming: A Guide to Controlling Autonomous Robots takes the reader on an adventure through the eyes of Midamba, a lad who has been stranded on a desert island and must find a way to program robots to help him escape. In this guide, you are presented with <em>practical</em> approaches and techniques to program robot sensors, motors, and translate your ideas into tasks a robot can execute autonomously. These techniques can be used on today’s leading robot microcontrollers (ARM9 and ARM7) and robot platforms (including the wildly popular low-cost Arduino platforms, LEGO® Mindstorms EV3, NXT, and Wowee RS Media Robot) for your hardware/Maker/DIY projects. Along the way the reader will learn how to:
Program robot sensors and motors
Program a robot arm to perform a task
Describe the robot’s tasks and environments in a way that a robot can process using robot S.T.O.R.I.E.S.
Develop a R.S.V.P. (Robot Scenario Visual Planning) used for designing the robot’s tasks in an environment
Program a robot to deal with the “unexpected” using robot S.P.A.C.E.S.
Program robots safely using S.A.R.A.A. (Safe Autonomous Robot Application Architecture) Approach
Program robots using Arduino C/C++ and Java languages
Use robot programming techniques with LEGO® Mindstorms EV3, Arduino, and other ARM7 and ARM9-based robots.
Table of Contents
Chapter 1 What Is a Robot Anyway?
Chapter 2 Robot Vocabularies
Chapter 3 RSVP: Robot Scenario Visual Planning
Chapter 4 Checking the Actual Capabilities of Your Robot
Chapter 5 A Close Look at Sensors
Chapter 6 Programming the Robot’s Sensors
Chapter 7 Programming Motors and Servos
Chapter 8 Getting Started with Autonomy: Building Your Robot’s Softbot Counterpart
Chapter 9 Robot SPACES
Chapter 10 An Autonomous Robot Needs STORIES
Chapter 11 Putting It All Together: How Midamba Programmed His First Autonomous Robot
Chapter 12 Open Source SARAA Robots for All!
The Architecture of Open Source Applications(开源软件架构)，其中包含了中文和英文版，整理之后免费分享给大家，中文版由图灵社区翻译http://www.ituring.com.cn/minibook/19
Architects look at thousands of buildings during their training, and study critiques of those buildings written by masters. In contrast, most software developers only ever get to know a handful of large programs well—usually programs they wrote themselves—and never study the great programs of history. As a result, they repeat one another's mistakes rather than building on one another's successes.
The most exciting development in parallel computer <em>architecture</em> is the convergence of traditionally disparate approaches on a common machine structure. This book explains the forces behind this convergence of shared-memory, message-passing, data parallel, and data-driven computing <em>architecture</em>s. It then examines the design issues that are critical to all parallel <em>architecture</em> across the full range of modern design, covering data access, communication performance, coordination of cooperative work, and correct implementation of useful semantics. It not only describes the hardware and software techniques for addressing each of these issues but also explores how these techniques interact in the same system. Examining <em>architecture</em> from an <em>application</em>-driven perspective, it provides comprehensive discussions of parallel programming for high performance and of workload-driven evaluation, based on understanding hardware-software interactions.
问题A 有 n 个硬币,B 有 n+1 个硬币,谁丢的正面多谁赢,问 A 不输的概率？
首先考察另<em>一个</em>问题：我们分两个阶段来扔硬币，假设在第一阶段A扔了 n 枚硬币，B扔了 n 枚硬币。并且我们设 P(A>B) 是这个阶段A扔出的硬币出现正面的次数 > B扔出的硬币出现正面的
Algorithms and Engineering Applications
作者： Andreas Antoniou
Department of Electrical and Computer Engineering
University of Victoria, Canada
We use Machine Learning to constantly improve the performance of machines or
programs over time. The simplified way of implementing a process that improves
machine performance with time is using Reinforcement Learning (RL). Reinforcement
Learning is an approach through which intelligent programs, known as agents, work
in a known or unknown environment to constantly adapt and learn based on giving
points. The feedback might be positive, also known as rewards, or negative, also
called punishments. Considering the agents and the environment interaction, we then
determine which action to take.
The <em>application</em> of optimization-based control methods such as nonlinear model
predictive control (NMPC) to real-world process models is still a major computational challenge.
In this paper, we present a new numerical optimization scheme suited for NMPC. The SQP-type
approach uses an inexact constraint Jacobian in its iterations and is based on adjoint derivatives,
that can be computed very efficiently. In comparison to a similar real-time algorithm based
on directional sensitivities and an exact constraint Jacobian, the computational complexity
is significantly reduced. Both algorithms are applied to the model of a thermally coupled
distillation column for disturbance rejection. The results provide a proof-of- principle for the
proposed adjoint-based optimization approach.
Knowing how a camera works does not make you a great photographer. Knowing what cryptographic designs are and how existing cryptographic protocols work does not give you proficiency in using cryptography. You must learn to think like a cryptographer.
That is what this book will teach you. Dive deeply into specific, concrete cryptographic protocols and learn why certain decisions were made. Recognize the challenges and how to overcome them. With this book, which is suitable for both classroom and self-study, you will learn to use cryptography effectively in real-world systems.
Convolutional Neural Networks are very similar to ordinary Neural Networks from the previous chapter: they are made up of neurons that have learnable weights and biases. Each neuron receives some inputs, performs a dot product and optionally follows it with a non-linearity.
MATLAB: A Practical Introduction to Programming and Problem Solving (4th Edition) by Stormy Attaway
English | 2016 | ISBN: 0128045256 | 600 pages
MATLAB: A Practical Introduction to Programming and Problem Solving, Fourth Edition, has been updated to reflect the functionality of the current version of MATLAB, including the new H2 Graphics system. It features new and revised end-of-chapter exercises, more engineering <em>application</em>s to help the reader learn this software tool in context, and a new section on object-oriented programming in MATLAB. MATLAB has become the standard software tool for solving scientific and engineering problems due to its powerful built-in functions and its ability to program.
Assuming no knowledge of programming, this book guides the reader both programming and built-in functions to easily exploit MATLAB's extensive capabilities for tackling engineering problems. The book starts with programming concepts, such as variables, assignments, and selection statements, moves on to loops, and then solves problems using both the programming concept and the power of MATLAB. In-depth coverage is given to input/output, a topic fundamental to many engineering <em>application</em>s.
Presents programming concepts and MATLAB built-in functions side-by-side
Offers a systematic, step-by-step approach, building on concepts throughout the book and facilitating easier learning
Includes sections on common pitfalls and programming guidelines to direct students toward best practices
Combines basic programming concepts, built-in functions, and advanced topics for problem solving with MATLAB to make this book uniquely suitable for a wide range of courses teaching or using MATLAB across the curriculum
This guide presents a structured approach for designing cloud <em>application</em>s that are scalable, resilient, and highly available. The guidance in this ebook is intended to help your architectural decisions regardless of your cloud platform, though we will be using Azure so we can share the best practices that we have learned from many years of customer engagements.
Data is becoming very important for many enterprises and it has now become pivotal in many aspects. In fact, companies are transforming themselves with data at the core. This book will start by introducing data, its relevance to enterprises, and how they can make use of this data to transform themselves digitally. To make use of data, enterprises need repositories, and in this modern age, these aren't called data warehouses; instead they are called Data Lake.
As we can see today, we have a good number of use cases that are leveraging big data technologies. The concept of a Data Lake existed there for quite sometime, but recently it has been getting real traction in enterprises. This book brings these two aspects together and gives a hand-on, full-fledged, working Data Lake using the latest big data technologies, following well-established architectural patterns.
The book will bring Data Lake and Lambda <em>architecture</em> together and help the reader to actually operationalize these in their enterprise. It will introduce a number of Big Data technologies at a high level, but we didn't want to make it an authoritative reference on any of these topics, as they are vast in nature and worthy of a book by themselves.
This book instead covers pattern explanation and implementation using chosen technologies. The technologies can of course, be replaced with more relevant ones in future or according to set standards within an organization. So, this book will be relevant not only now but for a long time to come. Compared to a software/technology written targeting a specific version, this does not fall in that category, so the shelf life of this book is quite long compared to other books in the same space.
The book will take you on a fantastic journey, and in doing so, it follows a structure that is quite intuitive and exciting at the same time.