Sensor technologies play a large part in modern life, as they are present in things like security systems, digital cameras, smartphones, and motion sensors. While these devices are always evolving, research is being done to further develop this technology to help detect and analyze threats, perform in-depth inspections, and perform tracking services. Optoelectronics in Machine Vision-Based Theories and Applications provides innovative insights on theories and applications of optoelectronics in machine vision-based systems. It also covers topics such as applications of unmanned aerial vehicle, autonomous and mobile robots, medical scanning, industrial applications, agriculture, and structural health monitoring. This publication is a vital reference source for engineers, technology developers, academicians, researchers, and advanced-level students seeking emerging research on sensor technologies and machine vision.

As technology continues to develop, certain innovations are beginning to cover a wide range of applications, specifically mobile robotic systems. The boundaries between the various automation methods and their implementations are not strictly defined, with overlaps occurring. Specificity is required regarding the research and development of android systems and how they pertain to modern science. Control and Signal Processing Applications for Mobile and Aerial Robotic Systems is a pivotal reference source that provides vital research on the current state of control and signal processing of portable robotic designs. While highlighting topics such as digital systems, control theory, and mathematical methods, this publication explores original inquiry contributions and the instrumentation of mechanical systems in the industrial and scientific fields. This book is ideally designed for technicians, engineers, industry specialists, researchers, academicians, and students seeking current research on today's execution of mobile robotic schemes.

In this book, the authors focus on efficient ways to program instrumentation and automation systems using LabVIEW (TM), a system design platform and development environment commonly used for data acquisition, instrument control, and industrial automation on a variety of operating systems. Starting with the concepts of data flow and concurrent programming, the authors go on to address the development of state machines, event programming and consumer producer systems. Chapters cover the following topics: Introduction to LabVIEW (TM), debugging tools, structures, SubVIs, structures - LabVIEW (TM) features, organizing front panel and block diagram, using software resources, using hardware resources, implementing test machines with a basic architecture, controlling the user interface, error handling, responding to the user interactions, the ATM review project, communication between loops at different rates, preventing race conditions, advanced use of software resources, and real-time programming. This book helps undergraduate and graduate students learn how to identify the most suitable design patterns depending on the application, and how to implement them in conjunction with data acquisition and instrumentation control systems. It is also a helpful resource for engineers and scientists who want to implement binary files to record data, control the user interface and implement efficient ways of programming.

As the climate emergency intensifies, rights-based climate cases - litigation that is based on human rights law - are becoming an increasingly important tool for securing more ambitious climate action. This book is the first to offer a systematic analysis of the universe of these cases known as human rights and climate change (HRCC) cases. By combining theory, empirical documentation, and strategic debate among preeminent scholars and practitioners from around the world, the book captures the roots, legal innovations, empirical richness, impact, and challenges of this dynamic field of sociolegal practice. It looks specifically at the sociolegal origins and trajectory of HRCC cases, the legal innovations of this type of litigation, and the strategies and impacts of these cases. In doing so, this book equips litigators, researchers, practitioners, students, and concerned citizens with an understanding of an important method of holding governments and corporations accountable for climate harms. This book is also available as Open Access on Cambridge Core.

This book is an empirical study of contributions by courts in the Global South to comparative constitutionalism. It offers an analytical framework for understanding these constitutional innovations and illustrates them with a qualitative study of the most ambitious case in constitutional adjudication in Latin America over the last decade: the Colombian Constitutional Court's structural injunction affecting the rights of over five million internally displaced people and its implementation process. Although the ruling (known as T25) was handed down in 2004, its monitoring process continues. This book traces the case's evolution from its origin to its effects on policy, politics and public opinion. It also compares the implementation and effects of T25 with those of other rulings on the rights to health, food, housing, and prison overcrowding in Colombia, India and South Africa. The study's insights will be of interest to scholars of comparative constitutionalism in Latin America, Africa and Asia.

The regulation of business in the global economy poses one of the main challenges for governance, as illustrated by the dynamic scholarly and policy debates about the UN Guiding Principles on Business and Human Rights and a possible international treaty on the matter. This book takes on the conceptual and legal underpinnings of global governance approaches to business and human rights, with an emphasis on the Guiding Principles (GPs) and attention to the current treaty process. Analyses of the GPs have tended to focus on their static dimension, such as the standards they include, rather than on their capacity to change, to push the development of new norms, and practices that might go beyond the initial content of the GPs and improve corporate compliance with human rights. This book engages both the static and dynamic dimensions of the GPs, and considers the issue through the eyes of scholars and practitioners from different parts of the world.

The past few decades have witnessed an explosion of judgments on social rights around the world. However, we know little about whether these rulings have been implemented. Social Rights Judgments and the Politics of Compliance is the first book to engage in a comparative study of compliance of social rights judgments as well as their broader effects. Covering fourteen different domestic and international jurisdictions, and drawing on multiple disciplines, it finds significant variance in outcomes and reveals both spectacular successes and failures in making social rights a reality on the ground. This variance is strikingly similar to that found in previous studies on civil rights, and the key explanatory factors lie in the political calculus of defendants and the remedial framework. The book also discusses which strategies have enhanced implementation, and focuses on judicial reflexivity, alliance building and social mobilisation.

The regulation of business in the global economy poses one of the main challenges for governance, as illustrated by the dynamic scholarly and policy debates about the UN Guiding Principles on Business and Human Rights and a possible international treaty on the matter. This book takes on the conceptual and legal underpinnings of global governance approaches to business and human rights, with an emphasis on the Guiding Principles (GPs) and attention to the current treaty process. Analyses of the GPs have tended to focus on their static dimension, such as the standards they include, rather than on their capacity to change, to push the development of new norms, and practices that might go beyond the initial content of the GPs and improve corporate compliance with human rights. This book engages both the static and dynamic dimensions of the GPs, and considers the issue through the eyes of scholars and practitioners from different parts of the world.

While Latin America accounts for approximately 7 percent of the world economy, easily accessible information on the economies of the region is not always easy to find. The existing literature on Latin American economics usually assumes some previous familiarity with the region and is focused on government policy choices. The Economies of Latin America is a book for the general reader needing a quick introduction to the economics of the region. The book is composed of three parts: the first explains Latin America's economic history and a description of the central economic challenges of the region. The second offers country-specific details. The final part deals with the economic future of the region where the authors put forth a Latin American version of success. This book is a useful, in-depth introduction for students of Latin American economics as well as the general reader.

This book constitutes the refereed proceedings of the 17th Ibero-American Conference on Artificial Intelligence, IBERAMIA 2022, held in Cartagena de Indias, Colombia, in November 2022. The 33 full and 4 short papers presented were carefully reviewed and selected from 67 submissions. The papers are organized in the following topical sections: applications of AI; ethics and smart city; green and sustainable AI; machine learning; natural language processing; robotics and computer vision; simulation and forecasting.

This book focusses on the debates concerning aspects of intellectual property law that bear on access to medicines in a set of developing countries. Specifically, the contributors look at measures that regulate the acquisition, recognition, and use of patent rights on pharmaceuticals and trade secrets in data concerning them, along with the conditions under which these rights expire so as to permit the production of cheaper generic drugs. In addition, the book includes commentary from scholars in human rights, international institutions, and transnational activism. The case studies presented from 11 Latin American countries, have many commonalities in terms of economics, legal systems, and political histories, and yet they differ in the balance each has struck between proprietary interests and access concerns. The book documents this cross-country variation in legal norms and practice, identifies the factors that have led to differences in result, and theorizes as to how differentials among these countries occur and why they endure within a common transnational regulatory regime. The work concludes by putting the results of the investigations into a global administrative law frame and offers suggestions on institutional mechanisms for considering the trade-offs between health and wealth.

The past few decades have witnessed an explosion of judgments on social rights around the world. However, we know little about whether these rulings have been implemented. Social Rights Judgments and the Politics of Compliance is the first book to engage in a comparative study of compliance of social rights judgments as well as their broader effects. Covering fourteen different domestic and international jurisdictions, and drawing on multiple disciplines, it finds significant variance in outcomes and reveals both spectacular successes and failures in making social rights a reality on the ground. This variance is strikingly similar to that found in previous studies on civil rights, and the key explanatory factors lie in the political calculus of defendants and the remedial framework. The book also discusses which strategies have enhanced implementation, and focuses on judicial reflexivity, alliance building and social mobilisation.

As technology continues to develop, certain innovations are beginning to cover a wide range of applications, specifically mobile robotic systems. The boundaries between the various automation methods and their implementations are not strictly defined, with overlaps occurring. Specificity is required regarding the research and development of android systems and how they pertain to modern science. Control and Signal Processing Applications for Mobile and Aerial Robotic Systems is a pivotal reference source that provides vital research on the current state of control and signal processing of portable robotic designs. While highlighting topics such as digital systems, control theory, and mathematical methods, this publication explores original inquiry contributions and the instrumentation of mechanical systems in the industrial and scientific fields. This book is ideally designed for technicians, engineers, industry specialists, researchers, academicians, and students seeking current research on today's execution of mobile robotic schemes.

A practical guide to getting the most out of Excel, using it for data preparation, applying machine learning models (including cloud services) and understanding the outcome of the data analysis. Key Features Use Microsoft's product Excel to build advanced forecasting models using varied examples Cover range of machine learning tasks such as data mining, data analytics, smart visualization, and more Derive data-driven techniques using Excel plugins and APIs without much code required Book DescriptionWe have made huge progress in teaching computers to perform difficult tasks, especially those that are repetitive and time-consuming for humans. Excel users, of all levels, can feel left behind by this innovation wave. The truth is that a large amount of the work needed to develop and use a machine learning model can be done in Excel. The book starts by giving a general introduction to machine learning, making every concept clear and understandable. Then, it shows every step of a machine learning project, from data collection, reading from different data sources, developing models, and visualizing the results using Excel features and offerings. In every chapter, there are several examples and hands-on exercises that will show the reader how to combine Excel functions, add-ins, and connections to databases and to cloud services to reach the desired goal: building a full data analysis flow. Different machine learning models are shown, tailored to the type of data to be analyzed. At the end of the book, the reader is presented with some advanced use cases using Automated Machine Learning, and artificial neural network, which simplifies the analysis task and represents the future of machine learning. What you will learn Use Excel to preview and cleanse datasets Understand correlations between variables and optimize the input to machine learning models Use and evaluate different machine learning models from Excel Understand the use of different visualizations Learn the basic concepts and calculations to understand how artificial neural networks work Learn how to connect Excel to the Microsoft Azure cloud Get beyond proof of concepts and build fully functional data analysis flows Who this book is forThis book is for data analysis, machine learning enthusiasts, project managers, and someone who doesn't want to code much for performing core tasks of machine learning. Each example will help you perform end-to-end smart analytics. Working knowledge of Excel is required.

Sensor technologies play a large part in modern life, as they are present in things like security systems, digital cameras, smartphones, and motion sensors. While these devices are always evolving, research is being done to further develop this technology to help detect and analyze threats, perform in-depth inspections, and perform tracking services. Optoelectronics in Machine Vision-Based Theories and Applications provides innovative insights on theories and applications of optoelectronics in machine vision-based systems. It also covers topics such as applications of unmanned aerial vehicle, autonomous and mobile robots, medical scanning, industrial applications, agriculture, and structural health monitoring. This publication is a vital reference source for engineers, technology developers, academicians, researchers, and advanced-level students seeking emerging research on sensor technologies and machine vision.