Bøger af Xinghua Liu

This book brings together the work of established scholars from around the world to celebrate and honor the many ways in which Steve Graham has contributed to the advancement of teaching and researching writing. Focusing on writing development and writing instruction in different contexts of education, original contributions in this book critically engage with theoretical and empirical issues raised in Steve Graham's influential body of work and significantly extend our understandings of the importance of writing in developing learners' literacy and the roles of writing in teaching and learning processes.This book is organized around themes central to Steve Graham's work, including theories and models of writing, effective instructional methods in teaching writing, surveys on teaching and learning writing, and systematic review studies on writing. Apart from regular chapters, the book also features personal and scholarly reflections revealing the powerful ways inwhich Steve Graham's work has influenced our thinking in the field of writing research and continues to open up new avenues for future research endeavors.

Multimodal Perception and Secure State Estimation for Robotic Mobility PlatformsEnables readers to understand important new trends in multimodal perception for mobile roboticsThis book provides a novel perspective on secure state estimation and multimodal perception for robotic mobility platforms such as autonomous vehicles. It thoroughly evaluates filter-based secure dynamic pose estimation approaches for autonomous vehicles over multiple attack signals and shows that they outperform conventional Kalman filtered results.As a modern learning resource, it contains extensive simulative and experimental results that have been successfully implemented on various models and real platforms. To aid in reader comprehension, detailed and illustrative examples on algorithm implementation and performance evaluation are also presented. Written by four qualified authors in the field, sample topics covered in the book include:* Secure state estimation that focuses on system robustness under cyber-attacks* Multi-sensor fusion that helps improve system performance based on the complementary characteristics of different sensors* A geometric pose estimation framework to incorporate measurements and constraints into a unified fusion scheme, which has been validated using public and self-collected data* How to achieve real-time road-constrained and heading-assisted pose estimationThis book will appeal to graduate-level students and professionals in the fields of ground vehicle pose estimation and perception who are looking for modern and updated insight into key concepts related to the field of robotic mobility platforms.