Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This open access book. Use this practical guide to understand the concepts behind Intelligent Multimode Security Systems (IMSS) and how to implement security within an IMSS system to improve the robustness of the devices and of the end-to-end solution. There are nearly half a billion active IMSS cameras globally, with over 100 million added annually. These cameras are used across enterprises (companies, traffic monitoring, driver enforcement, etc.), in peoples’ homes, on mobile devices (drones, on-vehicle, etc.), and are worn on the body. IMSS systems with a camera and network video recorder for storage are becoming the normal infrastructure for capturing, storing, and transmitting video content (sometimes up to 100 streams) in a secure manner and while protecting privacy. Military, aerospace, and government entities are also embracing digital security and surveillance. IMSS content serves as evidence in courts of law. Security within all of these types of IMSS systems needs to be bolstered by leveraging Intel hardware and software as the last line of defense, and this book provides you with best practices and solutions for maximizing security in your system implementation. What You Will Learn Review the relevant technologies in a surveillance system Define and dissect the data pipeline with a focus on key criteria and understand the mapping of this pipeline to Intel hardware blocks Optimize the partition and future-proof it with security and manageability Understand threat modeling terminology, the assets pertinent to DSS, and emerging threats, and learn how to mitigate these threats using Intel hardware and software Understand the unique risks and threats to the intelligence in IMSS (machine learning training and inferencing, regulations, and standards) and explore the solution space for mitigations to these threats Sample applications illustrate how to design in security for several types of IMSS.— Explore ways to keep both yourself and your systems up to date in a rapidly changing technology and threat environment.

Computer science. --- Computer Science. --- Informatics --- Science --- Computer security.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This Open-Access-book explores diversity in its ambivalence. On the one side, we love to describe diversity as a resource for personal, social, economic, and cultural growth. On the other side, categories of differences often lead to discrimination or serve as justifications for privileges. They can cause exclusion and, conversely, promote the self-constitution of discriminated subjects and groups. The book moves within this tension of exclusion and belonging. Case studies of young ethnicized people vividly depict the interwovenness of identity-building and diversity. Theoretically, the book examines the psychosocial and anthropological conditions for constructing the Other. Sharp divisions between We and the Other, between social and national groups, and between humans and nature have devastating, life-threatening consequences. Dichotomous split-offs divide people, nations and the whole world. So, how do we deal with diversity? The author does not provide simple recipes but engages in a phenomenology of diversity that does not press life and its manifestations into categories but keeps them in a limbo of attention by affirming and doubting differences. The Author Hans Karl Peterlini is Professor of Education at the University of Klagenfurt (Austria) and holder of the Unesco Chair "Global Citizenship Education - Culture of Diversity and Peace". His research focuses on learning for a better living together between humans, nature and animals.

Science—Study and teaching. --- Science Education.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book provides new insights into the challenges facing older people in the context of the COVID-19 pandemic. It draws upon novel qualitative longitudinal research which recorded the experiences of a diverse group of people aged 50+ in Greater Manchester over a 12-month during the pandemic. The book analyses their lived experiences and those of organisations working to support them, shedding light on the isolating effects of social distancing. Covering 21 organisations, as well as 102 people from four ethnic/identity groups, the authors argue that the pandemic exacerbated existing inequalities in the UK, disproportionately affecting low-income neighbourhoods and Black, Asian and minority ethnic (BAME) communities. The book outlines recommendations in relation to developing a ‘community-centred approach’ in responding to future variants of COVID-19, as well as making suggestions for how to create post-pandemic neighbourhoods.

SOCIAL SCIENCE / Gerontology.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

A free ebook version of this title is available through Luminos, University of California Press's Open Access publishing program. Visit www.luminosoa.org to learn more. In a world increasingly shaped by displacement and migration, refuge is both a coveted right and an elusive promise for millions of people. While refuge is conventionally understood as legal protection, it also transcends narrow judicial definitions. In Lived Refuge, Vinh Nguyen reconceptualizes refuge as an ongoing affective experience and lived relation, rather than a fixed category whose legitimacy is derived from the state. Focusing on Southeast Asian diasporas that formed in the wake of the Vietnam War, Nguyen examines three affective experiences-gratitude, resentment, and resilience-to reveal the actively lived dimensions of refuge. Through multifaceted analyses of literary and cultural productions, Nguyen argues that the meaning of refuge emerges from how displaced people negotiate the kinds of ";safety"; and ";protection"; that are offered to (and withheld from) them. In doing so, he lays the framework for an original and compelling understanding of contemporary refugee subjectivity.

SOCIAL SCIENCE / Refugees.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

In this work, artificial neural networks trained in a supervised manner for spectral unmixing are investigated. For this purpose, a suitable network architecture is determined first. After that, the focus lies on the generation of suitable training data. Model-based methods that generate training data from real pure spectra and data-based methods that augment existing training data are presented and evaluated.

Neural networks (Computer science)