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Robotic Process Automation (RPA) enables automating business processes using software robots. Software robots interpret, trigger responses, and communicate with other systems just like humans do. Robotic processes and intelligent automation tools can help businesses improve the effectiveness of services faster and at a lower cost than current methods. This book is the perfect start to your automation journey, with a special focus on one of the most popular RPA tools: UiPath. Learning Robotic Process Automation takes you on a journey from understanding the basics of RPA to advanced implementation techniques. You will become oriented in the UiPath interface and learn about its workflow. Once you are familiar with the environment, we will get hands-on with automating different applications such as Excel, SAP, Windows and web applications, screen and web scraping, working with user events, as well as understanding exceptions and debugging. By the end of the book, you'll not only be able to build your first software bot, but also you'll wire it to perform various automation tasks with the help of best practices for bot deployment.

This book is about the convergence of trends in two American institutions - the economy and the criminal justice system. The American economy has radically transformed in the past half-century, led by advances in automation technology that have permanently altered labor market dynamics. Over the same period, the U.S. criminal justice system experienced an unprecedented expansion at great cost. These costs include not only the $80 billion annually in direct expenditures on criminal justice, but also the devastating impacts experienced by justice-involved individuals, families, and communities. Recently, a widespread consensus has emerged that the era of \"mass incarceration\" is at an end, reflected in a declining prison population. Criminal justice reforms such as diversion and problem-solving courts, a renewed focus on reentry, and drug policy reform have as their goal keeping more individuals with justice system involvement out of prisons, in the community and subsequently in the labor force, which lacks the capacity to accommodate these additional would-be workers. This poses significant problems for criminal justice practice, which relies heavily on employment as a signal of offenders' intentions to live a law-abiding lifestyle. The diminished capacity of the economy to utilize the labor of all who have historically been expected to work presents significant challenges for American society. Work, in the American ethos is the marker of success, masculinity and how one \"contributes to society.\" What are the consequences of ignoring these converging structural trends? This book examines these potential consequences, the meaning of work in American society, and suggests alternative redistributive and policy solutions to avert the collision course of these economic and criminal justice policy trends.

Many advanced product manufacturing approaches have been introduced in the market in recent years. Thus, it is critical to develop modern techniques which can effectively familiarize budding minds with the latest manufacturing procedures. In fact, the contemporary training methods and advanced education practices are crucial to uphold the interest of the new generation as well as to equip them with state-of the art systems. There is a need for innovative ideas and effective methodologies to inculcate the desired competency and prepare students for prospective manufacturing set ups. In the latest Industry 4.0 paradigm, visualization technologies, especially virtual reality, have been emphasized to sustainably train and educate young students. This work presents a technique for utilizing the leading visualization method based on virtual reality in product manufacturing. It aims to acquaint students with the prominent concept of Industry 4.0, the reconfigurable manufacturing system (RMS). The RMS has been a demanding topic for the novice and, most often, amateurs are not able to grasp and interpret it. Therefore, this paper outlines the various steps that can be useful for students in order to anticipate the RMS design, interact with it, understand its operation, and evaluate its performance.

Since 2011, the Industry 4.0 initiative is a key research and development direction towards flexible production systems in Germany. The objective of the initiative is to deal with the challenge of an increased production complexity caused by various factors such as increasing global competition between companies, product variety, and individualization to meet customer needs. For this, Industry 4.0 envisions an overarching connection of information technologies with the production process, enabling smart manufacturing. Bringing current production systems to this objective will be a long transformation process, which requires a coherent migration path. The aim of this paper is to represent an exemplary production development way towards Industry 4.0 using eminent formalization approaches and standardized automation technologies.

Security automation is one of the most interesting skills to have nowadays. Ansible allows you to write automation procedures once and use them across your entire infrastructure. This book will teach you the best way to use Ansible for seemingly complex tasks by using the various building blocks available and creating solutions that are easy to teach others, store for later, perform version control on, and repeat. We’ll start by covering various popular modules and writing simple playbooks to showcase those modules. You’ll see how this can be applied over a variety of platforms and operating systems, whether they are Windows/Linux bare metal servers or containers on a cloud platform. Once the bare bones automation is in place, you’ll learn how to leverage tools such as Ansible Tower or even Jenkins to create scheduled repeatable processes around security patching, security hardening, compliance reports, monitoring of systems, and so on. Moving on, you’ll delve into useful security automation techniques and approaches, and learn how to extend Ansible for enhanced security. While on the way, we will tackle topics like how to manage secrets, how to manage all the playbooks that we will create and how to enable collaboration using Ansible Galaxy. In the final stretch, we’ll tackle how to extend the modules of Ansible for our use, and do all the previous tasks in a programmatic manner to get even more powerful automation frameworks and rigs.

Recently, various studies on logistics automation systems using new digital technologies such as robots, AI, and large data have been conducted to address the increasing volume of goods in the global import and export market. Furthermore, to improve space efficiency, logistics warehouses with high-level but short rack intervals, such as a stacker crane with rigid linkages are being introduced. However, it has the disadvantage of having a rigid structure, consuming a lot of energy, which makes it difficult to install/dismantle repair kits. To overcome these shortcomings, this article proposes a system to perform logistics automation tasks on an 8 m high rack using a cable-driven parallel robot (CDPR) with a large workspace, high repetition rate, fast task processing speed, and proven core performance. To improve the accuracy of CDPR, the position error of CDPR was measured within ±0.2 mm after applying the position accuracy improvement algorithm through ArUCO markers. The maximum workspace was 8 m (W) × 0.017 m (D) × 7.19 m (H), and the end-effector’s maximum speed and acceleration were 6.13 m/s, and 7.21 m/s 2 , respectively. And, when the energy consumption of the stacker crane and the CDPR was compared using the Recurdyn Dynamic Analysis program under the same driving conditions, the CDPR saved about 53.6% of the energy, and the performance of the end-effector was measured for an hour 125 times—63 times of loading and 62 times of unloading. This high-rack CDPR was successfully tested in the logistics warehouse.

This book explains the essentials of fractional calculus and demonstrates its application in control system modeling, analysis and design.It presents original research to find high-precision solutions to fractional-order differentiations and differential equations.

Essential resources, like electricity and water, can experience rapidly changing demand or supply while the other side of the market is unchanged. Short-run price variation could efficiently allocate resources at these critical times but only if consumers exhibit short-run demand elasticity. The question for firms in these markets has always been how to enable this response. Randomized control trials are increasingly used to test dynamic pricing and technologies that can assist in response by providing information and/or automated response. However, the trials typically do not randomize short-run prices. This paper illustrates how demand from a randomly assigned control group can be used to test the effectiveness of different technologies in increasing short-term price elasticity. To do so, we use a nonparametric control function approach that eliminates the bias inherent in estimating short-term price response using only household random assignment. We find that only automation technology leads to the short-term price elasticity needed to justify real-time pricing. This paper was accepted by Matthew Shum, marketing.

By discussing topics such as shape representations, relaxation theory and optimal transport, trends and synergies of mathematical tools required for optimization of geometry and topology of shapes are explored. Furthermore, applications in science and engineering, including economics, social sciences, biology, physics and image processing are covered. Contents Part I * Geometric issues in PDE problems related to the infinity Laplace operator * Solution of free boundary problems in the presence of geometric uncertainties * Distributed and boundary control problems for the semidiscrete Cahn–Hilliard/Navier–Stokes system with nonsmooth Ginzburg–Landau energies * High-order topological expansions for Helmholtz problems in 2D * On a new phase field model for the approximation of interfacial energies of multiphase systems * Optimization of eigenvalues and eigenmodes by using the adjoint method * Discrete varifolds and surface approximation Part II * Weak Monge–Ampere solutions of the semi-discrete optimal transportation problem * Optimal transportation theory with repulsive costs * Wardrop equilibria: long-term variant, degenerate anisotropic PDEs and numerical approximations * On the Lagrangian branched transport model and the equivalence with its Eulerian formulation * On some nonlinear evolution systems which are perturbations of Wasserstein gradient flows * Pressureless Euler equations with maximal density constraint: a time-splitting scheme * Convergence of a fully discrete variational scheme for a thin-film equatio * Interpretation of finite volume discretization schemes for the Fokker–Planck equation as gradient flows for the discrete Wasserstein distance