In this concise yet comprehensive Open Access textbook, future inventors are introduced to the key concepts of Cyber-Physical Systems (CPS). Using modeling as a way to develop deeper understanding of the computational and physical components of these systems, one can express new designs in a way that facilitates their simulation, visualization, and analysis. Concepts are introduced in a cross-disciplinary way. Leveraging hybrid (continuous/discrete) systems as a unifying framework and Acumen as a modeling environment, the book bridges the conceptual gap in modeling skills needed for physical systems on the one hand and computational systems on the other. In doing so, the book gives the reader the modeling and design skills they need to build smart, IT-enabled products. Starting with a look at various examples and characteristics of Cyber-Physical Systems, the book progresses to explain how the area brings together several previously distinct ones such as Embedded Systems, Control Theory, and Mechatronics. Featuring a simulation-based project that focuses on a robotics problem (how to design a robot that can play ping-pong) as a useful example of a CPS domain, Cyber-Physical Systems: A Model-Based Approach demonstrates the intimate coupling between cyber and physical components, and how designing robots reveals several non-trivial control problems, significant embedded and real-time computation requirements, and a need to consider issues of communication and preconceptions.
This volume presents results from the rescue excavations of the Qidfa’ 1 site, a multi-period tomb (Wadi Suq-Late Bronze /Early Iron Age). The richness of the discoveries demonstrates the wealth and significance of the culture of the 2nd millennium BC in southeast Arabia.
Recently machine learning schemes have attained significant attention as key enablers for next-generation wireless systems. Currently, wireless systems are mostly using machine learning schemes that are based on centralizing the training and inference processes by migrating the end-devices data to a third party centralized location. However, these schemes lead to end-devices privacy leakage. To address these issues, one can use a distributed machine learning at network edge. In this context, federated learning (FL) is one of most important distributed learning algorithm, allowing devices to train a shared machine learning model while keeping data locally. However, applying FL in wireless networks and optimizing the performance involves a range of research topics. For example, in FL, training machine learning models require communication between wireless devices and edge servers via wireless links. Therefore, wireless impairments such as uncertainties among wireless channel states, interference, and noise significantly affect the performance of FL. On the other hand, federated-reinforcement learning leverages distributed computation power and data to solve complex optimization problems that arise in various use cases, such as interference alignment, resource management, clustering, and network control. Traditionally, FL makes the assumption that edge devices will unconditionally participate in the tasks when invited, which is not practical in reality due to the cost of model training. As such, building incentive mechanisms is indispensable for FL networks. This book provides a comprehensive overview of FL for wireless networks. It is divided into three main parts: The first part briefly discusses the fundamentals of FL for wireless networks, while the second part comprehensively examines the design and analysis of wireless FL, covering resource optimization, incentive mechanism, security and privacy. It also presents several solutions based on optimization theory, graph theory, and game theory to optimize the performance of federated learning in wireless networks. Lastly, the third part describes several applications of FL in wireless networks.
On 10 July 2020, Singapore held its 18th general elections in history and the 13th since independence in 1965. The ruling People's Action Party (PAP) once again retained its supermajority by capturing 83 out of the 93 seats, controlling 89.2 percent of parliamentary seats. In spite of a changing social, political and economic landscape, Singapore is still very much identified as an illiberal democracy that has somehow thrived over the years.As the general elections was held during the COVID-19 pandemic, there were expectations that Singaporeans would overwhelmingly vote for the PAP government as the country was facing a serious crisis of a generation. The 'flight-to-safety' mode that some had expected in an election during a crisis, however, did not materialise. In the end, Singaporean voters decided to send a strong warning to the PAP that not all was well, with the opposition achieving its strongest gains since 1965, capturing 10 seats and an additional two Non-constituency Member of Parliament seats. The PAP's total votes dropped from 69.9 percent in 2015 to 61.2 percent in 2020. The rise of a credible opposition has also further strengthened Singaporeans' resolve to ensure that a fair-playing field exists in the political realm. With the highest voter turnout since independence, many have made it known that their voices mattered. The PAP also saw some cracks in its ranks, with some former cadre members and supporters being critical of the new fourth-generation team.Against this backdrop, this book hopes to address the following questions. What were the key issues in the general elections? Who were the main contenders in the polls? What accounted for the PAP's continued hold on power in Singapore? Why did the opposition perform much better than in the previous general elections? What are the main implications of the 2020 general elections results for the PAP, opposition and the broader society at large? How far have electoral issues shifted from 'bread and butter' concerns to much broader topics of social injustices and diversity of voices in parliament? What were some of the crucial talking points during this election? Last, but not least, how far did social media and internet campaigning determine the outcome of this election?
In Future Jihad, terrorism and Middle East expert Walid Phares gave a definitive account of the historical and cultural forces that led to September 11 and the rise of radical Islam. In The War of Ideas, he revealed the conflict of ideologies that underlie the War on Terror. Now, in The Confrontation, he identifies the clashes to come and provides a blueprint for defeating the forces of jihad. Moving from the ravaged villages of the Sudan to London's Muslim neighborhoods to the battlefields of Iraq and Afghanistan, he illuminates the vast and complex world of the global jihadist movement. He offers a multi-pronged strategy, global in scope, and calls on the world's diverse local and international institutions to come together and coordinate their efforts. Pointing the way forward, this book shows how we might reclaim a world that is safe for freedom and democratic societies.
In this concise yet comprehensive Open Access textbook, future inventors are introduced to the key concepts of Cyber-Physical Systems (CPS). Using modeling as a way to develop deeper understanding of the computational and physical components of these systems, one can express new designs in a way that facilitates their simulation, visualization, and analysis. Concepts are introduced in a cross-disciplinary way. Leveraging hybrid (continuous/discrete) systems as a unifying framework and Acumen as a modeling environment, the book bridges the conceptual gap in modeling skills needed for physical systems on the one hand and computational systems on the other. In doing so, the book gives the reader the modeling and design skills they need to build smart, IT-enabled products. Starting with a look at various examples and characteristics of Cyber-Physical Systems, the book progresses to explain how the area brings together several previously distinct ones such as Embedded Systems, Control Theory, and Mechatronics. Featuring a simulation-based project that focuses on a robotics problem (how to design a robot that can play ping-pong) as a useful example of a CPS domain, Cyber-Physical Systems: A Model-Based Approach demonstrates the intimate coupling between cyber and physical components, and how designing robots reveals several non-trivial control problems, significant embedded and real-time computation requirements, and a need to consider issues of communication and preconceptions.
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