The strategy makers: thoughts on war and society from Machiavelli and Clausewitz

Introductory chapter. Introduction and excerpts from works of Seigneur de Fourquevaux (1548); Francois Loque – Saillans (1589); Matthew Sutcliffe (1593); Don Bernardino de Mendoza (1595); Paul Hay du Chastelet (1668); Marquis Santa Cruz de Marcenado & Zanthier (1724-30/1775); Guibert (1772); Rühle von Lilienstern (1816/1817).

State and society in the English countryside: the rural community movement 1918-1939

This paper assesses the relationship between state and society in interwar rural England, focusing on the hitherto neglected role of the Rural Community Councils (RCCs). The rise of statutory social provision in the early twentieth century created new challenges and opportunities for voluntaryism, and the rural community movement was in part a response. The paper examines the early development of the movement, arguing that a crucial role was played by a close-knit group of academics and local government officials. While largely eschewing party politics, they shared a commitment to citizenship, democracy and the promotion of rural culture; many of them had been close associates of Sir Horace Plunkett. The RCCs engaged in a wide range of activities, including advisory work, adult education, local history, village hall provision, support for rural industries and an ambivalent engagement with parish councils. The paper concludes with an assessment of the achievements of the rural community movement, arguing that it was constrained by its financial dependence on voluntary contributions.

Data stream mining in ubiquitous environments: state-of-the-art and current directions

In this article, we review the state-of-the-art techniques in mining data streams for mobile and ubiquitous environments. We start the review with a concise background of data stream processing, presenting the building blocks for mining data streams. In a wide range of applications, data streams are required to be processed on small ubiquitous devices like smartphones and sensor devices. Mobile and ubiquitous data mining target these applications with tailored techniques and approaches addressing scarcity of resources and mobility issues. Two categories can be identified for mobile and ubiquitous mining of streaming data: single-node and distributed. This survey will cover both categories. Mining mobile and ubiquitous data require algorithms with the ability to monitor and adapt the working conditions to the available computational resources. We identify the key characteristics of these algorithms and present illustrative applications. Distributed data stream mining in the mobile environment is then discussed, presenting the Pocket Data Mining framework. Mobility of users stimulates the adoption of context-awareness in this area of research. Context-awareness and collaboration are discussed in the Collaborative Data Stream Mining, where agents share knowledge to learn adaptive accurate models.

Cloud-assisted body area networks: state-of-the-art and future challenges

Body area networks (BANs) are emerging as enabling technology for many human-centered application domains such as health-care, sport, fitness, wellness, ergonomics, emergency, safety, security, and sociality. A BAN, which basically consists of wireless wearable sensor nodes usually coordinated by a static or mobile device, is mainly exploited to monitor single assisted livings. Data generated by a BAN can be processed in real-time by the BAN coordinator and/or transmitted to a server-side for online/offline processing and long-term storing. A network of BANs worn by a community of people produces large amount of contextual data that require a scalable and efficient approach for elaboration and storage. Cloud computing can provide a flexible storage and processing infrastructure to perform both online and offline analysis of body sensor data streams. In this paper, we motivate the introduction of Cloud-assisted BANs along with the main challenges that need to be addressed for their development and management. The current state-of-the-art is overviewed and framed according to the main requirements for effective Cloud-assisted BAN architectures. Finally, relevant open research issues in terms of efficiency, scalability, security, interoperability, prototyping, dynamic deployment and management, are discussed.