This book constitutes the thoroughly refereed conference proceedings of the 7th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2013, held in Krabi, Thailand, in December 2013. The 30 full papers were carefully reviewed and selected from 65 submissions and cover topics such as cognitive science, computational intelligence, computational philosophy, game theory, machine learning, multi-agent systems, natural language, representation and reasoning, speech, vision and the web.

A critical challenge in deep learning is the vulnerability of deep learning networks to security attacks from intelligent cyber adversaries. Even innocuous perturbations to the training data can be used to manipulate the behaviour of deep networks in unintended ways. In this book, we review the latest developments in adversarial attack technologies in computer vision; natural language processing; and cybersecurity with regard to multidimensional, textual and image data, sequence data, and temporal data. In turn, we assess the robustness properties of deep learning networks to produce a taxonomy of adversarial examples that characterises the security of learning systems using game theoretical adversarial deep learning algorithms. The state-of-the-art in adversarial perturbation-based privacy protection mechanisms is also reviewed. We propose new adversary types for game theoretical objectives in non-stationary computational learning environments. Proper quantification of the hypothesis set in the decision problems of our research leads to various functional problems, oracular problems, sampling tasks, and optimization problems. We also address the defence mechanisms currently available for deep learning models deployed in real-world environments. The learning theories used in these defence mechanisms concern data representations, feature manipulations, misclassifications costs, sensitivity landscapes, distributional robustness, and complexity classes of the adversarial deep learning algorithms and their applications. In closing, we propose future research directions in adversarial deep learning applications for resilient learning system design and review formalized learning assumptions concerning the attack surfaces and robustness characteristics of artificial intelligence applications so as to deconstruct the contemporary adversarial deep learning designs. Given its scope, the book will be of interest to Adversarial Machine Learning practitioners and Adversarial Artificial Intelligence researchers whose work involves the design and application of Adversarial Deep Learning.

Over the last twenty years, our economy and our society have been completely revolutionized by technology. As Aneesh Chopra shows in Innovative State, once it became clear how much this would change America, a movement arose around the idea that these same technologies could reshape and improve government. But the idea languished, and while the private sector innovated, our government stalled. The election of Barack Obama offered a new opportunity. In 2009, Aneesh Chopra was named the first Chief Technology Officer of the United States. Previously the Secretary of Technology for Virginia and managing director for a health care think tank, Chopra led the administration's initiatives for a more open, tech-savvy government. In Innovative State, he draws on this experience and interviews with policy experts and tech insiders to offer an absorbing look at how government can establish a new paradigm for the internet era and allow us to tackle our most challenging problems, from economic development to veteran affairs.

Understanding the physics of heavy quarks gives physicists a unique opportunity to test the predictions of quantum chromodynamics and the Standard Model. This introductory text begins with a review of the Standard Model, followed by the basics of heavy quark spin-flavor symmetry and its application to the classification of states, decays and fragmentation. Heavy quark effective theory is then developed and applied to the study of hadron masses, form factors, and inclusive decay rates. The authors also discuss the application of chiral perturbation theory to heavy hadrons. Written by two world leading experts, the presentation is clear and original, with problems provided at the end of each chapter. This lucid volume is an ideal introduction to the physics of heavy quarks for graduate students and an authoritative reference for more experienced researchers. First published in 2000, this title has been reissued as an Open Access publication on Cambridge Core.

Understanding the physics of heavy quarks gives physicists a unique opportunity to test the predictions of quantum chromodynamics and the Standard Model. This introductory text begins with a review of the Standard Model, followed by the basics of heavy quark spin-flavor symmetry and its application to the classification of states, decays and fragmentation. Heavy quark effective theory is then developed and applied to the study of hadron masses, form factors, and inclusive decay rates. The authors also discuss the application of chiral perturbation theory to heavy hadrons. Written by two world leading experts, the presentation is clear and original, with problems provided at the end of each chapter. This lucid volume is an ideal introduction to the physics of heavy quarks for graduate students and an authoritative reference for more experienced researchers. First published in 2000, this title has been reissued as an Open Access publication on Cambridge Core.

The book constitutes proceedings of the 12th Industry Symposium held in conjunction with the 18th edition of the International Conference on Distributed Computing and Intelligent Technology (ICDCIT 2022). The focus of the industry symposium is on Mobile Application Development: Practice and Experience. This book focuses on software engineering research and practice supporting any aspects of mobile application development. The book discusses findings in the areas of mobile application analysis, models for generating these applications, testing, debugging & repair, localization & globalization, app review analytics, app store mining, app beyond smartphones and tablets, app deployment, maintenance, and reliability of apps, industrial case studies of automated software engineering for mobile apps, etc. Papers included in the book describe new or improved ways to handle these aspects or address them in a more unified manner, discussing benefits, limitations, and costs of provided solutions. The volume will be useful for master, research students as well as industry professionals.

This book highlights the need and importance of Assisted Human Reproductive Technologies and the various legal and ethical challenges raised by the practice of Assisted Human Reproductive Technologies. It examines the various legal and ethical issues raised by the practice of Artificial Insemination, In Vitro Fertilisation, Surrogacy and Reproductive Cloning. It also examines the practice of Posthumous Reproduction and Cryo preservation and the possible challenges. This book will be a useful guide for law students and academicians.

The state of emergency poses a challenge to the protection of human rights. This is because state of emergency allows state's to take extraordinary measures including derogation of human rights. On one hand such measures are essential for sustaining the life of the nation which is under a threat and on the other hand these very measures may be misused for political or other gains. This book examines international and regional human rights framework which deals with state of emergency and derogation of human rights. It also discusses the national emergency and derogation of human rights in India.

This book gives a solution for hands-free mobile phone users, some of the annoying disturbance faced by the user during his teleconference or in a hands-free mode is been addressed and an optimized solution is been presented. The spectral subtraction using a minimum statistics approach has been introduced that eliminates the conventional voice active detector. This technique is capable of tracking non-stationary noise signals and also proved to be efficient in terms of performance and computationally complexity. The book also shows the importance of using first order adaptive differential microphone arrays. This helps in reducing the reverberation effect caused during hands-free mode. The two unique techniques have been successfully integrated and developed it into a new robust algorithm that gives an optimal solution to the hands-free applications.

Secondary ion mass spectrometry (SIMS), in which energetic ions are implemented to interrogate the surface, is an efficient technique for the molecular analysis and imaging of solid surfaces. Improving the yield of secondary ions remains a challenge in SIMS. Metal-Assisted SIMS (MetA SIMS), where a small quantity of metal (Au, Ag, Pt...) is condensed on the sample surface, was one among the proposed ways to increase the yield using keV monatomic projectiles. In this thesis, the yield enhancements obtained upon 12 keV Ga+, 30 keV Bin+ (n =1,3,5) and 6MeV O3+ bombardment on metal deposited organic materials are investigated. Following from the studies in Metal Assisted Secondary Ion Mass Spectrometry (MetA SIMS), gold nanoparticles condensed on the surface of organic materials were used as an alternative to the Matrix-Assisted Laser Desorption Ionization (MALDI). The results suggest that Metal-Assisted LDI (MetA LDI) provides an interesting alternative to MALDI for the surface analysis and, potentially, imaging of certain classes of materials, when a minimal perturbation of the surface structure is desired.

Disaster management projects are inseparable for the sustainable development of a any nation. GIS is a powerful tool for such projects. A well-designed disaster mitigation and preparedness programme is certainly a very effective tool in reducing the effects from an earthquake disaster. This study is for the Seismic Microzonation of Coimbatore district. "How to develop a Seismic Microzonation map?" The main objective of this study is to develop the Seismic Microzonation map. Seismic Microzonation falls into the category of "Applied research." Very preliminary process of reducing the effects of earthquake is by assessing the hazard itself. GIS is a very powerful tool for handling and processing of spatial and non-spatial data. The district has been divided in to 5 zones such as very high, high, moderate, less moderate and least based on the possible threat to earthquakes. The vulnerability of the major locations is reported.

Does living in a globally networked society mean that we are moving toward a single, homogenous world culture? Or, are we headed for clashes between center and periphery, imperial and subaltern, Western and non-Western, First and Third World? The interdisciplinary essays in Beyond Globalization present us with another possibility-that new media will lead to new kinds of "worldmaking." This provocative volume brings together the best new work of scholars within such diverse fields as history, sociology, anthropology, film, media studies, and art. Whether examining the inauguration of a virtual community on the website Second Life or investigating the appropriation of biotechnology for transgenic art, this collection highlights how mediated practices have become integral to global culture; how social practices have emerged out of computer-related industries; how contemporary apocalyptic narratives reflect the anxieties of a U.S. culture facing global challenges; and how design, play, and technology help us understand the histories and ideals behind the digital architectures that mediate our everyday actions.

Does living in a globally networked society mean that we are moving toward a single, homogenous world culture? Or, are we headed for clashes between center and periphery, imperial and subaltern, Western and non-Western, First and Third World? The interdisciplinary essays in Beyond Globalization present us with another possibility-that new media will lead to new kinds of ""worldmaking." This provocative volume brings together the best new work of scholars within such diverse fields as history, sociology, anthropology, film, media studies, and art. Whether examining the inauguration of a virtual community on the website Second Life or investigating the appropriation of biotechnology for transgenic art, this collection highlights how mediated practices have become integral to global culture; how social practices have emerged out of computer-related industries; how contemporary apocalyptic narratives reflect the anxieties of a U.S. culture facing global challenges; and how design, play, and technology help us understand the histories and ideals behind the digital architectures that mediate our everyday actions.

This practical, how-to book clearly and succinctly takes the reader through six proven "success steps" for implementing lean in any healthcare environment: 1. Create physician flow 2. Support physician value-added time 3. Visually communicate patient status 4. Standardize everyone's work 5. Lay out the clinic for minimal motion 6. Change the care delivery model Why go through such a transformation? Because it works. Tell a doctor that he can see the same number of patients, offering the same high quality and personal care, and have an extra 90 minutes at the end of his clinic day -- and that means something. Tell the staff that they can look forward to actually ending on time, with satisfied patients, no backlog, and having focused their attention completely on quality patient care -- and they will listen. These Lean principles and success steps work in clinics ranging from orthopedics to neurology to cardiac care -- the specialty doesn't matter. They work in small practices and large hospital settings. Lean methodology provides the tools to address the frustrations patients and doctors alike experience in the clinic process. Included throughout the book is a case study showing the lean transformation undertaken at the Orthopedic Center at Children's Hospital of Wisconsin, with numerous quotes and insights from those actually involved. This transformation resulted in patient wait times being reduced by more than 70 percent, the clinic being able to see 25 percent more patients in less space, patient satisfaction scores sometimes reaching 100 percent, and staff satisfaction scores improving by more than 25 percent.