Tracking Lone Wolf Terrorists

Terrorism takes many forms, and many advances in identifying and tracking terrorists have been made in the past few years. However, the rise of self-radicalized lone wolf terrorists is an increasing challenge, compounded by their different types and the social and political contexts in which their threats exist. These predators require multiple strategies to track and neutralize

Semantic feature reduction and hybrid feature selection for clustering of Arabic Web pages

In the literature, high-dimensional data reduces the efficiency of clustering algorithms. Clustering the Arabic text is challenging because semantics of the text involves deep semantic processing. To overcome the problems, the feature selection and reduction methods have become essential to select and identify the appropriate features in reducing high-dimensional space. There is a need to develop a suitable design for feature selection and reduction methods that would result in a more relevant, meaningful and reduced representation of the Arabic texts to ease the clustering process. The research developed three different methods for analyzing the features of the Arabic Web text. The first method is based on hybrid feature selection that selects the informative term representation within the Arabic Web pages. It incorporates three different feature selection methods known as Chi-square, Mutual Information and Term Frequency–Inverse Document Frequency to build a hybrid model. The second method is a latent document vectorization method used to represent the documents as the probability distribution in the vector space. It overcomes the problems of high-dimension by reducing the dimensional space. To extract the best features, two document vectorizer methods have been implemented, known as the Bayesian vectorizer and semantic vectorizer. The third method is an Arabic semantic feature analysis used to improve the capability of the Arabic Web analysis. It ensures a good design for the clustering method to optimize clustering ability when analysing these Web pages. This is done by overcoming the problems of term representation, semantic modeling and dimensional reduction. Different experiments were carried out with k-means clustering on two different data sets. The methods provided solutions to reduce high-dimensional data and identify the semantic features shared between similar Arabic Web pages that are grouped together in one cluster. These pages were clustered according to the semantic similarities between them whereby they have a small Davies–Bouldin index and high accuracy. This study contributed to research in clustering algorithm by developing three methods to identify the most relevant features of the Arabic Web pages

Digital Weapons of Mass Destablization

In the coming decade, a global proliferation of networked technologies will widen the cyber threat landscape. Pairing new and unforeseen cyber vulnerabilities with weapons of mass destruction (WMD) increases the secondary threats that cyber attacks bring and also necessitates a shift in definitions. WMD will become weapons of mass destabilization, allowing adversaries to gain strategic advantage in novel ways. Altering this definition provides clarity and specific actions that can be taken to disrupt, mitigate and recover from this combined threat. Additionally, a new class of Digital WMD (DWMD) will emerge, threatening military, government, and civilian targets worldwide. These combined and new threats will require the expansion of current defensive or mitigation activities, partnerships, and preparationhttps://digitalcommons.usmalibrary.org/aci_books/1035/thumbnail.jp

The Journal of Conventional Weapons Destruction, Issue 25.3

A Note from the Interim Director UKRAINE: Coordinating the Response By Greg Crowther [ MAG (Mines Advisory Group) ] The Recovery of Human Remains in Weapon-Contaminated Settings: Towards Guidance for the Mine Action Community By Lou Maresca, Chris Poole, and Jane Taylor, PhD [ International Committee of the Red Cross ] I ntegrating Humanitarian Mine Action and Humanitarian Forensic Action By Lauren Cobham, Nicholas Márquez-Grant, and Mike Harris [ Cranfield Forensic Institute, Cranfield University ], Caroline Barker [ Independent Forensic Anthropologist and Archaeologist ], César Sanabria Medina, [ Biomedical Science Research Group, School of Medicine, University Antonio Nariño ], Javier Naranjo-Santana [ The European Union Rule of Law Mission in Kosovo ], and Gareth Collett [ United Nations Development Programme ] Missed Opportunities: A Chance to Develop Synergy Between Humanitarian Mine Action and Humanitarian Forensic Action By Patrick Nowak [ American Military University ] Mine Action and the Reintegration of Former Combatants: Expanding the Debate By Laurie Druelle [ Independent ], Henrique Garbino [ Swedish Defence University ], and Eric Mellado Åhlin [ Independent ] Mine Action in Afghanistan and Tajikistan: Challenges and Opportunities By Markus Schindler [ Swiss Foundation for Mine Action ] TNMAC’s Victim Assistance Activities: The Mental Health Aspect of Survivors and HMA Personnel By Reykhan Muminova, MD, PhD, and Muhabbat Ibrohimzoda, PhD [ Tajikistan National Mine Action Center ] National Capacity Building for Humanitarian Mine Action Activities in Iraq By Mark Wilkinson, PhD [ United Nations Mine Action Service, Iraq ] New Conventional EOD and IEDD Competency Standards for Mine Action: Notes on T&EP 09.30, 09.31, and IMAS 09.30 By Roly Evans [ Geneva International Centre for Humanitarian Demining ] and Dan Perkins Environmental Soil Sampling and Analysis: Application in Supporting Sustainable Land Use Practices in Areas Impacted by Explosive Ordnance By Bui Doan Bach, Kimberley McCosker [ Norwegian People’s Aid ], and Linsey Cottrell [ Conflict and Environment Observatory ] Proof: How TIR Imaging Can Locate Buried Cluster Munitions in the Iraqi Desert By John Fardoulis [ Mobility Robotics ], Xavier Depreytere [ Humanity & Inclusion ], and Jonathon Guthrie [ Norwegian People’s Aid ] Endnote

A Semantic-Based Framework for Summarization and Page Segmentation in Web Mining

This chapter addresses two crucial issues that arise when one applies Web-mining techniques for extracting relevant information. The first one is the acquisition of useful knowledge from textual data; the second issue stems from the fact that a web page often proposes a considerable amount of \u2018noise\u2019 with respect to the sections that are truly informative for the user's purposes. The novelty contribution of this work lies in a framework that can tackle both these tasks at the same time, supporting text summarization and page segmentation. The approach achieves this goal by exploiting semantic networks to map natural language into an abstract representation, which eventually supports the identification of the topics addressed in a text source. A heuristic algorithm uses the abstract representation to highlight the relevant segments of text in the original document. The verification of the approach effectiveness involved a publicly available benchmark, the DUC 2002 dataset, and satisfactory results confirmed the method effectiveness

Design and semantics of form and movement (DeSForM 2006)

Design and Semantics of Form and Movement (DeSForM) grew from applied research exploring emerging design methods and practices to support new generation product and interface design. The products and interfaces are concerned with: the context of ubiquitous computing and ambient technologies and the need for greater empathy in the pre-programmed behaviour of the ‘machines’ that populate our lives. Such explorative research in the CfDR has been led by Young, supported by Kyffin, Visiting Professor from Philips Design and sponsored by Philips Design over a period of four years (research funding £87k). DeSForM1 was the first of a series of three conferences that enable the presentation and debate of international work within this field: • 1st European conference on Design and Semantics of Form and Movement (DeSForM1), Baltic, Gateshead, 2005, Feijs L., Kyffin S. & Young R.A. eds. • 2nd European conference on Design and Semantics of Form and Movement (DeSForM2), Evoluon, Eindhoven, 2006, Feijs L., Kyffin S. & Young R.A. eds. • 3rd European conference on Design and Semantics of Form and Movement (DeSForM3), New Design School Building, Newcastle, 2007, Feijs L., Kyffin S. & Young R.A. eds. Philips sponsorship of practice-based enquiry led to research by three teams of research students over three years and on-going sponsorship of research through the Northumbria University Design and Innovation Laboratory (nuDIL). Young has been invited on the steering panel of the UK Thinking Digital Conference concerning the latest developments in digital and media technologies. Informed by this research is the work of PhD student Yukie Nakano who examines new technologies in relation to eco-design textiles

Towards an Informativity Account of Design Research

In this paper we apply a sociomaterial perspective to the relationships of people, work, and technology to provide further insights into design research. We focus attention on the phenomena, not the artifact, produced through processes of \u27informativity.\u27 This approach challenges the Cartesian dualism upon which design is premised and reveals the emergence of multiple enactments of information and technology by people across time and context. Informativity accounts for the variable processes of information discovery, selection, and support and acts as a source of potential creativity, improvisation, and design

Maritime Gray Zones

https://digital-commons.usnwc.edu/ciwag-reading-lists/1003/thumbnail.jp