This book brings together feminist academics and lawyers to present an impressive collection of alternative judgments in a series of Australian legal cases. By re-imagining original legal decisions through a feminist lens, the collection explores the possibilities, limits and implications of feminist approaches to legal decision-making. Each case is accompanied by a brief commentary that places it in legal and historical context and explains what the feminist rewriting does differently to the original case. The cases not only cover topics of long-standing interest to feminist scholars – such as family law, sexual offences and discrimination law – but also areas which have had less attention, including Indigenous sovereignty, constitutional law, immigration, taxation and environmental law. The collection contributes a distinctly Australian perspective to the growing international literature investigating the role of feminist legal theory in judicial decision-making.
The author has maintained two open-source MATLAB Toolboxes for more than 10 years: one for robotics and one for vision. The key strength of the Toolboxes provide a set of tools that allow the user to work with real problems, not trivial examples. For the student the book makes the algorithms accessible, the Toolbox code can be read to gain understanding, and the examples illustrate how it can be used —instant gratification in just a couple of lines of MATLAB code. The code can also be the starting point for new work, for researchers or students, by writing programs based on Toolbox functions, or modifying the Toolbox code itself. The purpose of this book is to expand on the tutorial material provided with the toolboxes, add many more examples, and to weave this into a narrative that covers robotics and computer vision separately and together. The author shows how complex problems can be decomposed and solved using just a few simple lines of code, and hopefully to inspire up and coming researchers. The topics covered are guided by the real problems observed over many years as a practitioner of both robotics and computer vision. It is written in a light but informative style, it is easy to read and absorb, and includes a lot of Matlab examples and figures. The book is a real walk through the fundamentals of robot kinematics, dynamics and joint level control, then camera models, image processing, feature extraction and epipolar geometry, and bring it all together in a visual servo system. Additional material is provided at http://www.petercorke.com/RVC
This book offers a comprehensive and state-of-the-art source reference for understanding the functions and mechanisms responsible for yield and quality determination under a range of conditions. By uncovering relationships and challenges of successful and scalable crop management and breeding, this volume addresses the challenges of environmentally sound production of bulk and quality food, fodder, fiber, and energy which are of ongoing international concern. Contemporary agriculture and crop management confronts the challenge of increasing demand in terms of quantitative and qualitative production targets. These targets have to be achieved against a background of climate change, including soil and water scarcity and higher temperatures, and the environmental and social aspects of agricultural sustainability. This book views crop production as an active source of methods, theories, ideas, and tools for application in genetic improvement and agronomy.
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala
The aim of each volume of this series Guides to Information Sources is to reduce the time which needs to be spent on patient searching and to recommend the best starting point and sources most likely to yield the desired information. The criteria for selection provide a way into a subject to those new to the field and assists in identifying major new or possibly unexplored sources to those who already have some acquaintance with it. The series attempts to achieve evaluation through a careful selection of sources and through the comments provided on those sources.
Introduction to state-space methods covers feedback control; state-space representation of dynamic systems and dynamics of linear systems; frequency-domain analysis; controllability and observability; shaping the dynamic response; more. 1986 edition.
The SAGE Guide to Curriculum in Education integrates, summarizes, and explains, in highly accessible form, foundational knowledge and information about the field of curriculum with brief, simply written overviews for people outside of or new to the field of education. This Guide supports study, research, and instruction, with content that permits quick access to basic information, accompanied by references to more in-depth presentations in other published sources. This Guide lies between the sophistication of a handbook and the brevity of an encyclopedia. It addresses the ties between and controversies over public debate, policy making, university scholarship, and school practice. While tracing complex traditions, trajectories, and evolutions of curriculum scholarship, the Guide illuminates how curriculum ideas, issues, perspectives, and possibilities can be translated into public debate, school practice, policy making, and life of the general public focusing on the aims of education for a better human condition. 55 topical chapters are organized into four parts: Subject Matter as Curriculum, Teachers as Curriculum, Students as Curriculum, and Milieu as Curriculum based upon the conceptualization of curriculum commonplaces by Joseph J. Schwab: subject matter, teachers, learners, and milieu. The Guide highlights and explicates how the four commonplaces are interdependent and interconnected in the decision-making processes that involve local and state school boards and government agencies, educational institutions, and curriculum stakeholders at all levels that address the central curriculum questions: What is worthwhile? What is worth knowing, needing, experiencing, doing, being, becoming, overcoming, sharing, contributing, wondering, and imagining? The Guide benefits undergraduate and graduate students, curriculum professors, teachers, teacher educators, parents, educational leaders, policy makers, media writers, public intellectuals, and other educational workers. Key Features: Each chapter inspires readers to understand why the particular topic is a cutting edge curriculum topic; what are the pressing issues and contemporary concerns about the topic; what historical, social, political, economic, geographical, cultural, linguistic, ecological, etc. contexts surrounding the topic area; how the topic, relevant practical and policy ramifications, and contextual embodiment can be understood by theoretical perspectives; and how forms of inquiry and modes of representation or expression in the topic area are crucial to develop understanding for and make impact on practice, policy, context, and theory. Further readings and resources are provided for readers to explore topics in more details.
When Dymphna Stella Rees finds bundles of love letters buried in her parents' archive, she is intrigued by the discovery. Leslie Rees and Coralie Clarke Rees were a power couple of the Australian literary scene in the mid-twentieth century. They took their shared dream of being writers from Perth to London and launched themselves in Fleet Street, interviewing some of the century's literary greats, including James Joyce, AA Milne, and George Bernard Shaw. After settling in Sydney in the 1930s, they embraced the city's vibrant arts scene and established prolific careers. Leslie became an award-winning children's book author and the ABC's national drama editor, while Coralie was one of the country's first female broadcasters. They influenced the development of an authentically Australian arts culture and included among their friends Mary Gilmore, Ruth Park, D'Arcy Niland, Mary Durack and Vance and Nettie Palmer. Drawn from personal notebooks, letters and original transcripts, A Paper Inheritance is the engrossing story of what drove this literary couple to prominence and is a celebration of their love and their passion for words.
Softcover version of the second edition Hardcover. Incorporates a new author, Dr. Chris O'Donnell, who brings considerable expertise to the project in the area of performance measurement. Numerous topics are being added and more applications using real data, as well as exercises at the end of the chapters. Data sets, computer codes and software will be available for download from the web to accompany the volume.
