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The widow of reporter Daniel Pearl, who was kidnapped and murdered in Pakistan in 2002, discusses his commitment to responsible journalism and her own role as a negotiator between the FBI and Pakistani police.
In Counterterror Offensives for the Ghost War World: The Rudiments of Counterterrorism Policy, Richard J. Chasdi has written a groundbreaking quantitative analysis that provides new insight into which types of counterterror practices work best and which types perform poorly in particular operational environments and circumstances. For Chasdi, "effectiveness" is defined as the capacity of counterterror practices to work with "stealth"-namely, without eliciting high amounts of related follow-up terrorist assaults. He moves beyond individual country analyses to tackle an analysis of counterterror practice effectiveness based on the type of political system of the country carrying out counterterror offensives and the power level of that country within the international political system. Chasdi furthermore provides essential qualitative descriptions of national security institutions, stakeholders, and processes to frame his quantitative results in ways that tie those findings to historical and contemporary political developments.
Set in a scenic English town, let S. H. Miah take you on a dazzling coming of age journey. Adil is twelve years old. Loves comics, loves games, loves hanging out with friends. Typical London boy stuff. When his mother decides on a sudden trip back home to Bangladesh, Adil is dumped onto the shores of Blueridge, a town in England’s south, to live with the man Adil has hated his entire life—his father. As Adil makes new friends in the town and joins its annual competition, he peels back the layers to his father’s abandonment and realises there is more to everything than meets the eye. Not to mention mysteries shroud the town and its annual competition. Mysteries Adil must solve. Will Adil realise the truth to set him free? Or will his rage bottle inside him, ready to burst at the worst moment? Light hearted yet heartwarming, whilst dipped in coming of age, let S. H. Miah’s upper-middle grade story take you on a journey you won’t want to miss.
With the rise of mobile and wireless technologies, more sustainable networks are necessary to support such communications. These next generation networks can now be utilized to strengthen the growing era of the Internet of Things. Powering the Internet of Things With 5G Networks is a comprehensive reference source for the latest scholarly research on the progression and design of fifth generation networks and their role in supporting the Internet of Things. Including a range of perspectives on topics such as privacy and security, large scale monitoring, and scalable architectures, this book is ideally designed for technology developers, academics, researchers, and practitioners interested in the convergence of the Internet of Things and 5G networks.
Due to the increasing need to solve complex problems, high-performance computing (HPC) is now one of the most fundamental infrastructures for scientific development in all disciplines, and it has progressed massively in recent years as a result. HPC facilitates the processing of big data, but the tremendous research challenges faced in recent years include: the scalability of computing performance for high velocity, high variety and high volume big data; deep learning with massive-scale datasets; big data programming paradigms on multi-core; GPU and hybrid distributed environments; and unstructured data processing with high-performance computing. This book presents 19 selected papers from the TopHPC2017 congress on Advances in High-Performance Computing and Big Data Analytics in the Exascale era, held in Tehran, Iran, in April 2017. The book is divided into 3 sections: State of the Art and Future Scenarios, Big Data Challenges, and HPC Challenges, and will be of interest to all those whose work involves the processing of Big Data and the use of HPC.
The Internet of Things (IoT) is a closed-loop system in which a set of sensors is connected to servers via a network. The data from sensors are stored in a database and then analysed by IoT analytics. The results are usually employed by either humans, machines, or software to make decisions about the operation of the system. This book provides an interface between the main disciplines of engineering/technology and the organizational, administrative, and planning capabilities of managing the IoT.
AI AND MACHINE LEARNING FOR NETWORK AND SECURITY MANAGEMENT Extensive Resource for Understanding Key Tasks of Network and Security Management AI and Machine Learning for Network and Security Management covers a range of key topics of network automation for network and security management, including resource allocation and scheduling, network planning and routing, encrypted traffic classification, anomaly detection, and security operations. In addition, the authors introduce their large-scale intelligent network management and operation system and elaborate on how the aforementioned areas can be integrated into this system, plus how the network service can benefit. Sample ideas covered in thi...
The six-volume set LNCS 10404-10409 constitutes the refereed proceedings of the 17th International Conference on Computational Science and Its Applications, ICCSA 2017, held in Trieste, Italy, in July 2017. The 313 full papers and 12 short papers included in the 6-volume proceedings set were carefully reviewed and selected from 1052 submissions. Apart from the general tracks, ICCSA 2017 included 43 international workshops in various areas of computational sciences, ranging from computational science technologies to specific areas of computational sciences, such as computer graphics and virtual reality. Furthermore, this year ICCSA 2017 hosted the XIV International Workshop On Quantum Reactive Scattering. The program also featured 3 keynote speeches and 4 tutorials.
Fog computing is quickly increasing its applications and uses to the next level. As it continues to grow, different types of virtualization technologies can thrust this branch of computing further into mainstream use. The Handbook of Research on Cloud and Fog Computing Infrastructures for Data Science is a key reference volume on the latest research on the role of next-generation systems and devices that are capable of self-learning and how those devices will impact society. Featuring wide-ranging coverage across a variety of relevant views and themes such as cognitive analytics, data mining algorithms, and the internet of things, this publication is ideally designed for programmers, IT professionals, students, researchers, and engineers looking for innovative research on software-defined cloud infrastructures and domain-specific analytics.
Visualization and visual analytics are powerful concepts for exploring data from various application domains. The endless number of possible parameters and the many ways to combine visual variables as well as algorithms and interaction techniques create lots of possibilities for building such techniques and tools. The major goal of those tools is to include the human users with their tasks at hand, their hypotheses, and research questions to provide ways to find solutions to their problems or at least to hint them in a certain direction to come closer to a problem solution. However, due to the sheer number of design variations, it is unclear which technique is suitable for those tasks at han...