الصفحة 11
الصفحة 11
Human motion : Understanding, modeling, capture and animation
Edward Muybridge (1830–1904) is known as the pioneer in motion capt- ing with his famous experiments in 1887 called “Animal Locomotion”. Since then, the feld of animal or human motion analysis has grown in many dir- tions. However, research and results that involve human-like animation and the recovery of motion is still far from being satisfactory. Progress in human motion analysis depends on empirically anchored and grounded research in computer vision, computer graphics, and biomechanics. This book is based on a June 2006 workshop held in Dagstuhl, Germany. This workshop brought together for the frst time researchers from the afo- mentioned disciplines.
Human Ear Recognition by Computer
Human Ear Recognition by Computer is the first book on the automatic recognition of human ears. It presents an entire range of computational algorithms for recognition of humans by their ears. These algorithms have been tested and validated on the largest databases that are available today,This state-of-the-art research reference explores all aspects of 3D ear recognition, including representation, detection, recognition, indexing and performance prediction. It has been written for a professional audience of both researchers and practitioners within industry, and is also ideal as an informative text for graduate students in computer science and engineering.
How to engineer software : A model-based approach
The book promotes development scalability through domain partitioning and subdomain partitioning. It also explores software documentation that specifically and intentionally adds value for development and maintenance. Contains many illustrative examples of model-based software engineering, from semantic model all the way to executable code Explains how to derive verification (acceptance) test cases from a semantic model Describes project estimation, along with alternative software development and maintenance processes Shows how to develop and maintain cost-effective software that solves real-world problems
How to Code .NET : Tips and Tricks for Coding .NET 1.1 and .NET 2.0 Applications Effectively
How to Code .NET: Tips and Tricks for Coding .NET 1.1 and .NET 2.0 Applications Effectively provides solutions to certain problems. That is, specific problems. This book provides detailed, authoritative explanations of good .NET coding techniques.
How humans judge machines
80 experimental scenarios help us understand how humans judge AIs as opposed to other humans in the same situation
Honeypots for Windows
Installing a honeypot inside your network as an early warning system can significantly improve your security. Currently, almost every book and resource about honeypots comes from a Unix background, which leaves Windows administrators still grasping for help. But Honeypots for Windows is a forensic journeyhelping you set up the physical layer, design your honeypot, and perform malware code analysis. You'll discover which Windows ports need to be open on your honeypot to fool those malicious hackers, and you'll learn about numerous open source tools imported from the Unix world. Install a honeypot on your DMZ or at home and watch the exploits roll in! Your honeypot will capture waves of automated exploits, and youll learn how to defend the computer assets under your control.
Holonic and multi-agent systems for manufacturing ; 2nd International conference on industrial applications of holonic and multi-agent systems, HoloMAS 2005, Copenhagen, Denmark, August 22-24, 2005, Proceedings
The challenge faced in today’s manufacturing and business environments is the question of how to satisfy increasingly stringent customer requirements while managing growing system complexity. For example, customers expect high-quality, customizable, low-cost products that can be delivered quickly. The systems that deliver these expectations are by nature distributed, concurrent, and stochastic, and, as a result, increasingly difficult to manage. Unfortunately, the traditional hierarchical, strictly centralized approach to control used in these domains is characteristically inflexible, fragile, and difficult to maintain. These shortcomings have led to the development of a new class of manufacturing and supply-chain decision-making approaches in recent years. Solutions based on these approaches usually explore a set of highly distributed decision-making units that are capable of autonomous operations while cooperating interactively to resolve larger problems. The units, referred to as agents in classical computer science and software engineering, or holons if physically integrated with the manufacturing hardware, interact by exchanging information. These units are motivated by arriving at local solutions as well as collaborating and sharing resources and goals in solving the overall problem in question collectively.
High-Performance Modelling and Simulation for Big Data Applications: Selected Results of the COST Action IC1406 cHiPSet
This book is the final compendium of case studies emanated from “High-Performance Modelling and Simulation for Big Data Applications” (cHiPSet).cHiPSet has created a sustainable reference network linking applied research in High Performance Computing (HPC) and Modelling & Simulation to tangibly address Big Data challenges.cHiPSet has also endeavoured to use and exploit results through Open Science practices, i.e., open access publication, open access to data repositories, and open-source software development. A testament to this philosophy, this compendium is set to become a required reference for the fast-changing fields of HPC, Big Data, and Modelling & Simulation.
High performance computing and communications ; Vol. 4208 : 2nd International Conference, HPCC 2006, Munich, Germany, September 13-15, 2006, Proceedings
HPCC has moved into the mainstream of c- puting and has become a key technology in future research and development activities in many academic and industrial branches, especially when the so- tion of large and complex problems must cope with very tight time constraints. The HPCC 2006 conference provides a forum for engineers and scientists in academia, industry, and governmentto address all resulting profound challenges and to present and discuss their new ideas, research results, applications, and experience on all aspects of HPCC.
High accuracy detection of mobile malware using machine learning
As increasingly sophisticated and evasive malware attacks continue to emerge, more effective detection solutions to tackle the problem are being sought through the application of advanced machine learning techniques. This reprint presents several advances in the field including: a new method of generating adversarial samples through byte sequence feature extraction using deep learning; a state-of-the-art comparative evaluation of deep learning approaches for mobile botnet detection; a novel visualization-based approach that utilizes images for Android botnet detection; a study on the detection of drive-by exploits in images using deep learning; etc. Furthermore, this reprint presents state-of-the-art reviews about machine learning-based detection techniques that will increase researchers' knowledge in the field and enable them to identify future research and development directions.
Hebbian Learning and Negative Feedback Networks
This book is the outcome of a decade’s research into a speci?c architecture and associated learning mechanism for an arti?cial neural network: the - chitecture involves negative feedback and the learning mechanism is simple Hebbian learning. The research began with my own thesis at the University of Strathclyde, Scotland, under Professor Douglas McGregor which culminated with me being awarded a PhD in 1995 [52], the title of which was “Negative Feedback as an Organising Principle for Arti?cial Neural Networks”. Naturally enough, having established this theme, when I began to sup- vise PhD students of my own, we continued to develop this concept and this book owes much to the research and theses of these students at the Applied Computational Intelligence Research Unit in the University of Paisley . All of Chapters 3 to 8 deal with single stream arti?cial neural networks.
Healthcare solutions using machine learning and informatics
Covers novel and innovative solutions for the healthcare that apply machine learning and biomedical informatics technology. The healthcare sector is one of the most critical in society. This book presents a series of artificial intelligence, machine learning, intelligent IoT-based solutions for medical image analysis, medical big data processing, disease predictions. Machine learning and artificial intelligence use cases in healthcare presented in the book give researchers, practitioners, and students a wide range of practical examples of cross-domain convergence. The wide variety of topics covered include: Artificial Intelligence in healthcare Machine learning solutions for such disease as diabetes, arthritis, cardiovascular disease, and COVID-19 Big data analytics solutions for healthcare data processing Reliable biomedical applications using AI models Intelligent IoT in healthcare. The book explains fundamental concepts as well as the advanced use cases illustrating how to apply emerging technologies such as machine learning, AI models, data informatics into practice to tackle challenges in the field of healthcare with real-world scenarios. Chapters contributed by noted academicians and professionals examine various solutions, frameworks, applications, case studies, and best practices in the healthcare domain
HCI related papers of Interacción 2004 ; Conference proceedings
The present book contains a collection of the best papers presented at the 5th International Conference on Interacción Persona Ordenador (IPO) (which is Human Computer Interaction in Spanish), which took place in th th Lleida on May 5 -7 , 2004. . The main goals of Interacción 2004 were: To expand the conference scope with internationally recognised invited speakers. The plenary talks were presented by Alan Dix, Yvonne Rogers, Geritt van der Veer, and Angel Puerta. To open the participation to Spanish speaker worldwide in order to be a point of reference of this discipline not only in Spain but also in the wider Spanish speaking community. This goal was reached through a very diverse program which included panels and posters sessions, where many different aspect of the Human Computer Interaction (HCI) were presented. All through the program, research from outside Spain was reflected through the contributions from people of other countries.
HCI in games : Experience design and game mechanics ; Third International Conference, HCI-Games 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Virtual Event, July 24–29, 2021, Proceedings, Part I
This two-volume set LNCS 12789 and 12790 constitutes the refereed proceedings of the Third International Conference on HCI in Games, HCI-Games 2021, held as part of the 23rd International Conference, HCI International 2021, which took place in July 2021. Due to COVID-19 pandemic the conference was held virtually.The total of 1276 papers and 241 poster papers included in the 39 HCII 2021 proceedings volumes was carefully reviewed and selected from 5222 submissions. The regular papers of DAPI 2021, Distributed, Ambient and Pervasive Interactions, are organized in topical sections named: Experience Design in Games; User Engagement and Game Impact; Game Mechanics.
HCI and usability for medicine and health care ; 3rd Symposium of the Workgroup Human-computer interaction and usability engineering of the Austrian Computer Society, USAB 2007 Graz, Austria, November, 22, 2007, Proceedings
The work group Human–Computer Interaction & Usability Engineering (HCI&UE) of the Austrian Computer Society (OCG) serves as a platform for interdisciplinary exchange, research and development. Our 2007 topic was “Human–Computer Interaction for Medicine and Health Care” (HCI4MED), Medical information systems are already extremely sophisticated and technological performance increases exponentially.
HCI and usability for education and work ; 4th Symposium of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society, USAB 2008, Graz, Austria, November 20-21, 2008. Proceedings
This book constitutes the refereed proceedings of the 4th Usability Symposium of the Human-Computer Interaction and Usability Engineering Workgroup of the Austrian Computer Society, USAB 2008, held in Graz, Austria, in November 2008.The 7 revised full papers and 26 revised short papers presented were carefully reviewed and selected from 85 submissions. The papers are organized in topical sections on cognitive processes and end user experience, social software and collaborative knowledge development, knowledge processing, assessment and human performance.
Hardening Windows
Hardening is the process of protecting a system against unknown threats. System administrators harden against that which they think could be a threat. Administrators know the Internet is a hostile environment. Although they can't tell, for example, that a hacker will attempt to gain access to the SQL server next Tuesday, they can bet money there'll be an attempt soon and should "batten down the hatches" in anticipation. Hardening Windows, Second Edition is the definitive "counterintelligence" guide to performing preventative security measures for the Windows operating system. This second edition covers the release of Windows XP Service Pack 2 and its new security features, including the Windows Firewall and the Security Center. It also covers Windows Server 2003 Service Pack 1, Windows Server R2's new Security Configuration Wizard, Windows NT, Windows 2000, branch-office security features, and new setup options.
Hands-On Software Architecture with Java - Learn key architectural techniques and strategies to design efficient and elegant Java applications
Starts with the fundamentals of architecture and takes you through the basic components of application architecture. You'll cover the different types of software architectural patterns and application integration patterns and learn about their most widespread implementation in Java. You'll then explore cloud-native architectures and best practices for enhancing existing applications to better suit a cloud-enabled world. Later, the book highlights some cross-cutting concerns and the importance of monitoring and tracing for planning the evolution of the software, foreseeing predictable maintenance, and troubleshooting. The book concludes with an analysis of the current status of software architectures in Java programming and offers insights into transforming your architecture to reduce technical debt.
Hands-On Design Patterns with Java : Learn Design Patterns That Enable the Building of Large-Scale Software Architectures
Java design patterns are reusable and proven solutions to software design problems. This book covers over 60 battle-tested design patterns used by developers to create functional, reusable, and flexible software. Hands-On Design Patterns with Java starts with an introduction to the Unified Modeling Language (UML), and delves into class and object diagrams with the help of detailed examples. You'll study concepts and approaches to object-oriented programming (OOP) and OOP design patterns to build robust applications. As you advance, you'll explore the categories of GOF design patterns, such as behavioral, creational, and structural, that help you improve code readability and enable large-scale reuse of software. You’ll also discover how to work effectively with microservices and serverless architectures by using cloud design patterns, each of which is thoroughly explained and accompanied by real-world programming solutions. By the end of the book, you’ll be able to speed up your software development process using the right design patterns, and you’ll be comfortable working on scalable and maintainable projects of any size.
Hands-On Data Structures and Algorithms with Python : Store, manipulate, and access data effectively ; 3rd ed.
Expands your understanding of key structures, including stacks, queues, and lists, and also show you how to apply priority queues and heaps in applications. You'll learn how to analyze and compare Python algorithms, and understand which algorithms should be used for a problem based on running time and computational complexity. You will also become confident organizing your code in a manageable, consistent, and scalable way, which will boost your productivity as a Python developer. By the end of this Python book, you'll be able to manipulate the most important data structures and algorithms to more efficiently store, organize, and access data in your applications
