In the foreseeable future the alliance will become an increasingly important feature of the airline industry around the world. Despite its growing importance to airline management, aviation policy makers, and research literature, there has not been much rigorous analysis of airline alliances in economics or management literature. It is clear that the authors of this book are among the first researchers to do serious analytical studies and quantitative analysis on airline alliances. Given the growing importance of alliances, there is a clear need for a book that gives a comprehensive and analytical treatment of key aspects of airline alliances. In this book, they accomplish just that. This book presents the past history and current status of airline alliances, reasons why alliances are being formed, analyzes the questions 'why are alliances likely to remain a key fixture of the airline industry in the foreseeable future?' and 'what implications do alliances have on carrier management and public policy makers', and quantifies the key economics effects of airline alliances.

Orthogonal frequency division multiplexing (OFDM) has been widely recommended to the most promising baseband modulation and multiplexing technology for 3G and 4G communication systems because of its spectral efficiency and robustness against frequency selective fading channel. Furthermore, direct conversion based RF transceiver has had more advantages in aspects of power consumption, area and complexity than conventional heterodyne transceiver. In order to maintain all merits in both direct conversion structure and OFDM, many algorithms have been studied to compensate inevitable RF impairments such as I/Q imbalance and carrier frequency offset (CFO) in digital domain. In this respect, this book provides the principle of the OFDM system and direct conversion receiver with RF impairments such as I/Q imbalance and CFO, previous works for impairments compensation, and new novel schemes. Numerical performance comparisons on both mean square error of estimation and bit error rate of transmission show the superiority of proposed schemes compared with previous methods.

Complex computer-integrated systems offer enormous benefits across a wide array of applications, including automated production, transportation, concurrent software, and computer operating systems, computer networks, distributed database systems, and many other automated systems. Yet, as these systems become more complex, automated, distributed, and computing-intensive, the opportunity for deadlock issues rises exponentially. Deadlock modeling, detection, avoidance, and recovery are critical to improving system performance. Deadlock Resolution in Computer-Integrated Systems is the first text to summarize and comprehensively treat this issue in a systematic manner. Consisting of contributions from prominent researchers in the field, this book addresses deadlock-free models and scheduling, detection and recovery methods, the formulation of dynamic control policies, and comparison and industrial benchmark studies that evaluate various approaches. The editors lay the foundation for exploring deadlock issues with a typical example of an automated manufacturing process, illustrating three primary modeling methods (digraphs, Petri nets, and automata) and comparing their respective advantages and disadvantages. Providing all of the important models and resolution approaches, this book is the complete guide for electrical and control engineers and manufacturing, intelligent, and network systems designers to prevent and manage deadlock issues in their systems.