A NATIONAL BESTSELLER From the internet phenomenon whose aesthetic has influenced millions of young people around the world comes an undated planner to help you keep your life in order your way. Emma Chamberlain is a lot of things. The Atlantic calls her “The Most Important YouTuber Today.” W Magazine calls her “The Most Interesting Girl on YouTube.” But what does she call herself? A girl in desperate need of The Ideal Planner! Until now, it seemed like every planner was for “that perfect girl.” But what if you’re just muddling through? What if you’re kind of weird, a little obsessed, definitely silly, love art and fashion, and sometimes accidentally skip days or weeks or months in your planner but don’t want those pages to go to waste? Emma looked everywhere but could not find such a planner. So she decided to make one herself and share it with the world. With guided journal pages, custom mood boards, puzzles, games, lists, corny quotes, cool designs, and silly messages from Emma, it’s a diary, scrapbook, guided journal, coloring book, and planner all in one. And because you fill in the dates you want, it never becomes outdated.
The book deals with integrated distributed energy resources in existing power systems optimally to mitigate power quality issues in power systems. The book is designed for research using modern optimization techniques and a thorough analysis of renewable energy. The book provides an in-depth study of recent trends of research scope around the globe and also includes modern heuristic approaches, hands-on data, and case studies of all important dimensions of distributed energy resources. It addresses key issues such as the integration of DERs and electric vehicles, optimization algorithms, management of DERs with electric vehicles, energy pool management mechanisms, protection, and reliability in the restructured power system. This book will be useful for students, research scholars, practitioners, and academicians.
Keep your classroom in perfect order with this monthly/weekly planner designed specifically for busy teachers who need a go-to place to store important classroom information, record grades, and have the best, most organized year ever. Banish the back-to-school scaries with the perfect resource for classroom organization: The Best Teacher Lesson Planner. Finally, the one and only planner you’ll ever need to make activities and scheduling easy, stay on top of organization, and manage all types of classrooms. This book includes: - Customizable full-year calendar - Monthly and weekly planner pages - Attendance and grade records for each student - High-quality interior paper and lay-flat binding - Space for seating charts - Extra note pages for to-do lists and important ideas - Inspirational quotes and fun holidays Perfect for teachers of all grade levels and homeschoolers alike, this book will quickly become your go-to teaching assistant. Keep calm and teach on!
Alexander Reiter describes optimal path and trajectory planning for serial robots in general, and rigorously treats the challenging application of path tracking for kinematically redundant manipulators therein in particular. This is facilitated by resolving both the path tracking task and the optimal inverse kinematics problem simultaneously. Furthermore, the author presents methods for fast computation of approximate optimal solutions to planning problems with changing parameters. With an optimal solution to a nominal problem, an iterative process based on parametric sensitivities is applied to rapidly obtain an approximate solution. About the Author: Dr. Alexander Reiter is a senior scientist at the Institute of Robotics of the Johannes Kepler University (JKU) Linz, Austria. His major fields of research are kinematics, dynamics, and trajectory planning for kinematically redundant serial robots as well as real-time methods for solving parametric non-linear programming problems.
Co-written by students with two different stories. One was a horrible student in high school who turned it around in college and law school. The other was an excellent student in high school but struggled as a college athlete at Harvard. Their goal is to help students avoid the anxiety and frustrations of college study by creating a comprehensive study plan. The authors use 21 questions to help students identify what may be causing them problems. It combines time and workload management with effective study habits and methods to create a systematic approach to staying in complete control of your academic life.
During the last decades, motion planning for autonomous systems has become an important area of research. The high interest is not the least due to the development of systems such as self-driving cars, unmanned aerial vehicles and robotic manipulators. The objective in optimal motion planning problems is to find feasible motion plans that also optimize a performance measure. From a control perspective, the problem is an instance of an optimal control problem. This thesis addresses optimal motion planning problems for complex dynamical systems that operate in unstructured environments, where no prior reference such as road-lane information is available. Some example scenarios are autonomous docking of vessels in harbors and autonomous parking of self-driving tractor-trailer vehicles at loading sites. The focus is to develop optimal motion planning algorithms that can reliably be applied to these types of problems. This is achieved by combining recent ideas from automatic control, numerical optimization and robotics. The first contribution is a systematic approach for computing local solutions to motion planning problems in challenging unstructured environments. The solutions are computed by combining homotopy methods and direct optimal control techniques. The general principle is to define a homotopy that transforms, or preferably relaxes, the original problem to an easily solved problem. The approach is demonstrated in motion planning problems in 2D and 3D environments, where the presented method outperforms a state-of-the-art asymptotically optimal motion planner based on random sampling. The second contribution is an optimization-based framework for automatic generation of motion primitives for lattice-based motion planners. Given a family of systems, the user only needs to specify which principle types of motions that are relevant for the considered system family. Based on the selected principle motions and a selected system instance, the framework computes a library of motion primitives by simultaneously optimizing the motions and the terminal states. The final contribution of this thesis is a motion planning framework that combines the strengths of sampling-based planners with direct optimal control in a novel way. The sampling-based planner is applied to the problem in a first step using a discretized search space, where the system dynamics and objective function are chosen to coincide with those used in a second step based on optimal control. This combination ensures that the sampling-based motion planner provides a feasible motion plan which is highly suitable as warm-start to the optimal control step. Furthermore, the second step is modified such that it also can be applied in a receding-horizon fashion, where the proposed combination of methods is used to provide theoretical guarantees in terms of recursive feasibility, worst-case objective function value and convergence to the terminal state. The proposed motion planning framework is successfully applied to several problems in challenging unstructured environments for tractor-trailer vehicles. The framework is also applied and tailored for maritime navigation for vessels in archipelagos and harbors, where it is able to compute energy-efficient trajectories which complies with the international regulations for preventing collisions at sea.
This book presents multi-sector practical cases based on the author’s own research. It also includes the best practice, which could serve as a benchmark for the creation of smart cities. The global urbanisation index, i.e., the ratio of city dwellers to the total population, has been steadily increasing in recent years. It is highest in the Americas, followed by Europe, Asia and Africa. The city of the future will combine the intelligent use of IT systems with the potential of institutions, companies and committed, creative inhabitants. The administrative boundaries of today’s cities put certain constraints on their further growth, but in the future these boundaries will no longer be as relevant. Cities in Europe face the challenge of reconciling sustainable urban development and competitiveness – a challenge that will likely influence issues of urban quality such as the economy, culture, social and environmental conditions, changing a given city’s profile as well as urban quality in terms of its composition and characteristics.
Understanding the recent developments in renewable energy is crucial for a range of fields in today’s society. As environmental awareness and the need for a more sustainable future continues to grow, the uses of renewable energy, particularly in areas such as smart grid, must be considered and studied thoroughly to be implemented successfully and move society toward a more sustainable future. Optimal Planning of Smart Grid With Renewable Energy Resources offers a detailed guide to the new problems and opportunities for sustainable growth in engineering by focusing on modeling diverse problems occurring in science and engineering as well as novel effective theoretical methods and robust optimization theories, which can be used to analyze and solve multiple types of problems. Covering topics such as electric drives and energy systems, this publication is ideal for researchers, academicians, industry professionals, engineers, scholars, instructors, and students.
Planning Support Systems: Retrospect and Prospect It has been nearly twenty years since the term ‘planning support systems’ (PSS) first appeared in an article by Britton Harris (Harris 1989) and more than ten years since the concept was more broadly introduced in the academic literature (Harris and Batty 1993; Batty 1995; Klosterman 1997). As a result, the publication of a new book on PSS provides an excellent opportunity to assess past progress in the field and speculate on future developments. PSS have clearly become very popular in the academic world. This is the fourth edited book devoted to the topic following Brail and Klosterman (2001), Geertman and Stillwell (2003), and a third by Brail (2008). Papers devoted to PSS have been published in the leading planning journals and the topic has become a regular theme at academic conferences around the world; it has even spawned intellectual o- spring such as spatial planning and decision support systems (SPDSS) and public participation planning support systems (PP-PSS). However, as Geertman and Stillwell point out in their introductory chapter, the experience with PSS in the world of professional practice has been disappointing. A substantial number of PSS have been developed but most of them are academic p- totypes or ‘one off’ professional applications that have not been adopted elsewhere.
