Ming Li Books

Written by a leading expert in hydrocarbon exploration, this book offers an in-depth analysis of the industry's complexities and challenges. It combines technical insights with practical experiences, making it a valuable resource for professionals and students alike. The author shares real-world case studies, innovative techniques, and future trends, providing readers with a comprehensive understanding of the field. The focus on both theoretical knowledge and practical application sets this work apart as a crucial guide for navigating the evolving landscape of hydrocarbon exploration.

Focusing on vibration phenomena, this book delves into fractional vibrations through the lens of linear vibrations characterized by frequency-dependent mass, damping, or stiffness. It provides a theoretical analysis relevant to various structures, particularly emphasizing applications in ship hulls. The exploration of these concepts aims to enhance understanding and application in engineering contexts.

Utilizing advanced mathematical techniques such as time series analysis and Fourier transforms, this book introduces fractal traffic modeling to enhance delay bounds in computer communication networks. It emphasizes improving service quality by integrating concepts like functional analysis and fractional order systems, alongside addressing noise factors. The focus on innovative computations aims to provide practical solutions for optimizing network performance.

The book offers an in-depth exploration of mono- and multi-fractal traffic theory, delving into long-range dependent time series and 1/f noise. It examines key concepts such as ergodicity and predictability in traffic patterns, alongside methodologies for traffic modeling and simulation. Additionally, it covers stationarity tests and measurement techniques for traffic, as well as anomaly detection in communications networks, making it a valuable resource for understanding complex traffic behaviors.

Focusing on the significance of vibration across various engineering disciplines, this book integrates conventional linear vibrations with contemporary fractional vibrations. It is divided into two parts: the first six chapters cover foundational concepts based on lectures for students at Zhejiang University, while the latter chapters delve into the author's research on fractional vibrations. This structured approach provides a comprehensive understanding of both traditional and modern vibration theories in engineering contexts.

This book examines the effects of INSET courses on EFL teachers in China amid national curriculum reforms. It highlights the limitations of one-time training and the influence of teachers' pre-existing beliefs on their practices. The author proposes that teacher learning is a dynamic social process and offers solutions to enhance teacher education for lasting impact.

This work addresses the mobile networks, such as LTE (Long Term Evolution). The key objective is to improve the system performance in means of user satisfaction. Two main potential bottleneck links are identified, i. e. the Radio Interface and the transport network link from base station to core network. Therefore, first a utility based radio scheduling algorithm is proposed. The scheduling algorithm, which maximizes the aggregated QoE, is proven to be optimal analytically. In a second step the resource limitation on the second bottleneck link, the S1 interface in the transport network is considered in addition. The mathematical problem is formulated considering the resource on both bottleneck link and maximizing the aggregated user satisfaction. The formulated problem is proven to be a convex optimization problem, and then solved using the Lagrangian relaxation method. In addition, computational advantageous heuristics are developed and compared in simulations against legacy approaches and the optimal solution.

In today's world, we are inundated with visual data, and mobile personal devices are widely accessible. This creates a challenge: how to effectively fit vast amounts of visual data onto resource-limited mobile devices while ensuring a good user experience. We need innovative strategies to adapt functionalities originally designed for powerful desktop computers to these constrained platforms. Additionally, the presentation of visual data on mobile devices must enhance usability and user acceptance. There is no simple solution, but opportunities arise from three key aspects: mobile devices, visual data, and user factors. The advancement of mobile technology allows for the processing of more complex visual data. The growing quantity and quality of visual data necessitate new methods for visualization and interaction. Furthermore, varying user factors across different applications require modifications and assessments of mobile interfaces to optimize usability and acceptance. This exploration focuses on fundamental techniques for designing and evaluating mobile augmented and virtual reality interfaces. We will introduce original technical contributions related to core components of mobile AR/VR interfaces, apply emerging techniques to develop novel mobile interfaces, and propose design guidelines informed by formal user studies.

This book constitutes the refereed proceedings of the 8th International Workshop on Algorithmic Learning Theory, ALT'97, held in Sendai, Japan, in October 1997. The volume presents 26 revised full papers selected from 42 submissions. Also included are three invited papers by leading researchers. Among the topics addressed are PAC learning, learning algorithms, inductive learning, inductive inference, learning from examples, game-theoretical aspects, decision procedures, language learning, neural algorithms, and various other aspects of computational learning theory.