No longer Sukumbasis: Challenges in grassroots-led squatter resettlement program in Kathmandu with special reference to Kirtipur Housing Project.

The paper is the outcome of a systematic effort to study and analyze the experiences of the Kirtipur Housing Project (KHP), the first ever grassroots-led squatter resettlement project in Kathmandu. It is widely hailed as a success story as it has been able to provide a legal, affordable and good quality housing solution to the Sukumbasis through grassroots mobilization. The paper analyses the dynamics of this mobilization and the roles of different actors to show how community empowerment, civil actions and local government interests have converged to create a constructive partnership in line with wider enabling principles. Apart from meeting the narrowly defined objective to rehouse 44 households, the project reflects capacity of the community, quite apart from lobbying and protest, in areas of project planning and management. While no grassroots mobilisation can be expected to replicate in a dynamic environment, the paper draws some policy insights that indicate the ability of the grassroots mobilization in Kathmandu to continue and grow. Conversely, the lessons learned from the project also point to limitations in terms lack of prerequisite critical mass or economic benefits to influence the government to prepare a policy framework under which it can foster in a more structured way.

Towards Educational Inclusion in a Transforming Society: Some Lessons from Community Relations and Special Needs Education in Northern Ireland

This paper takes an original approach to an important aspect of educational research and its role in transforming societies, namely that of educational inclusion. It brings together what some might consider two rather strange bedfellows i.e. community relations and special needs education. It also draws upon new tools for theorising educational inclusion, which give a central role to the discursive nature of human conduct and which take a view of human behaviour as socially embedded and meaningful.

Millimeter-wave stealth radio for special operations forces

For Special Operations Forces, an important attribute of any future radio will be the ability to conceal transmissions from the enemy while transmitting large amounts of data for situational awareness and communications. These requirements will mean that military wireless systems designers will need to consider operating frequencies in the mm-wave bands: The high data rates that are achievable at these frequencies and the propagation characteristics at this wavelength will provide many benefits for the implementation of 'stealth radio'. This article discusses some of the recent advances in RF front-end technology, alongside physical layer transmission schemes that could be employed for millimeter-wave soldier-mounted radio. The operation of a hypothetical millimeter-wave soldier-to-soldier communications system that makes use of smart antenna technology is also described.

Introduction to Domain-Driven Data Mining Special Section

In the last decade, data mining has emerged as one of the most dynamic and lively areas in information technology. Although many algorithms and techniques for data mining have been proposed, they either focus on domain independent techniques or on very specific domain problems. A general requirement in bridging the gap between academia and business is to cater to general domain-related issues surrounding real-life applications, such as constraints, organizational factors, domain expert knowledge, domain adaption, and operational knowledge. Unfortunately, these either have not been addressed, or have not been sufficiently addressed, in current data mining research and development.Domain-Driven Data Mining (D3M) aims to develop general principles, methodologies, and techniques for modeling and merging comprehensive domain-related factors and synthesized ubiquitous intelligence surrounding problem domains with the data mining process, and discovering knowledge to support business decision-making. This paper aims to report original, cutting-edge, and state-of-the-art progress in D3M. It covers theoretical and applied contributions aiming to: 1) propose next-generation data mining frameworks and processes for actionable knowledge discovery, 2) investigate effective (automated, human and machine-centered and/or human-machined-co-operated) principles and approaches for acquiring, representing, modelling, and engaging ubiquitous intelligence in real-world data mining, and 3) develop workable and operational systems balancing technical significance and applications concerns, and converting and delivering actionable knowledge into operational applications rules to seamlessly engage application processes and systems.