الصفحة 1
الصفحة 1
Net-Centric Approaches to Intelligence and National Security
Net-Centric Approaches to Intelligence and National Security considers the web architectures and recent developments that make net-centric approaches for intelligence and national security possible. The development of net-centric approaches for intelligence, national & homeland security applications has become a major concern in many areas such as defense intelligence and national and international law enforcement agencies, especially since the terrorist attacks of 9/11. Net-Centric Approaches to Intelligence and National Security presents developments in information integration and recent advances in web services including the concept of the semantic web. Discovery analysis and management of web-available data pose a number of interesting challenges for research in web-based management systems. Intelligent agents and data mining are among the techniques employed. A number of specific systems that are net-centric based in various areas of military applications, intelligence and law enforcements are presented utlilizing one or more of such techniques Net-Centric Approaches to Intelligence and National Security is designed for a professional audience of researchers and practitioners in industry. This volume is also suitable for graduate-level students in computer science.
Modelling and simulation of discrete-event systems
Allows engineers to study and analyze complex systems. Discrete-event system (DES)-M&S is used in modern management, industrial engineering, computer science, and the military. As computer speeds and memory capacity increase, so DES-M&S tools become more powerful and more widely used in solving real-life problems.
Hyperspectral Data Compression
HYPERSPECTRAL DATA COMPRESSION presents the most recent results in the field of compression of remote sensing 3D data, with a focus on multispectral and hyperspectral imagery. This book is essential for researchers working across related fields including: multi-dimensional data compression, multispectral and hyperspectral data archives, remote sensing, scientific image processing, military and aerospace image processing, image segmentation, image classification, and target detection.
Fuzzy Models and Algorithms for Pattern Recognition and Image Processing
Fuzzy Models and Algorithms for Pattern Recognition and Image Processing presents a comprehensive introduction of the use of fuzzy models in pattern recognition and selected topics in image processing and computer vision. Unique to this volume in the Kluwer Handbooks of Fuzzy Sets Series is the fact that this book was written in its entirety by its four authors. A single notation, presentation style, and purpose are used throughout. The result is an extensive unified treatment of many fuzzy models for pattern recognition. The main topics are clustering and classifier design, with extensive material on feature analysis relational clustering, image processing and computer vision. Also included are numerous figures, images and numerical examples that illustrate the use of various models involving applications in medicine, character and word recognition, remote sensing, military image analysis, and industrial engineering.
Fifth World Conference on Information Security Education ; Proceedings of the IFIP TC 11 WG 11.8, WISE 5, 19 to 21 June 2007, United States Military Academy, West Point, NY, USA
The scope of This book includes: foundations of computer science; software theory and practice; education; computer applications in technology; communication systems; systems modeling and optimization; information systems; computers and society; computer systems technology; security and protection in information processing systems; artificial intelligence; and human-computer interaction. Proceedings and post-proceedings of referred international conferences in computer science and interdisciplinary fields are featured. These results often precede journal publication and represent the most current research.
Developing secure auto-scaling military postponement e-service in Syria
This study is about developing a secure, autoscaling military postponement e-service in Syria, that allows Syrian citizens to conveniently access services provided by the Syrian Recruitment Department conveniently through their smartphones. Currently, many Syrian citizens need to use the services offered by the Recruitment Department, resulting in overcrowding in a single location for similar purposes. This situation places a significant burden on both citizens and the government. The mobile application will facilitate various services such as enlistment and postponing military service by employing a well-designed software architecture that ensures scalability and efficient distribution of these services.
Cyber-physical systems of systems : Foundations : A conceptual model and some derivations : The AMADEOS legacy
Technical Systems-of-Systems (SoS) – in the form of networked, independent constituent computing systems temporarily collaborating to achieve a well-defined objective – form the backbone of most of today’s infrastructure. The energy grid, most transportation systems, the global banking industry, the water-supply system, the military equipment, many embedded systems, and a great number more, strongly depend on systems-of-systems. The correct operation and continuous availability of these underlying systems-of-systems are fundamental for the functioning of our modern society.
Coordination of Large-Scale Multiagent Systems
Challenges arise when the size of a group of cooperating agents is scaled to hundreds or thousands of members. In domains such as space exploration, military and disaster response, groups of this size (or larger) are required to achieve extremely complex, distributed goals. To effectively and efficiently achieve their goals, members of a group need to cohesively follow a joint course of action while remaining flexible to unforeseen developments in the environment. Coordination of Large-Scale Multiagent Systems provides extensive coverage of the latest research and novel solutions being developed in the field.
Content based image retrieval systems
With an advent of technology, huge collection of digital images is formed as repositories on crime prevention, medical diagnosis, military, face finding, satellites and remote sensing. The task of searching for similar images in the repository is difficult. The data is growing enormously which makes it difficult to store and manage. The traditional image retrieval technique is inefficient in retrieving these images. Content-based image retrieval is an approach from data mining community, which provides the solution of managing this huge quantity of data. In this research, a Content-Based Image Retrieval (CBIR) system has been developed using color and texture as retrieval features from the image repository. The system allows the user to search for an image based on any of the two features alone or in combination by assigning weights to the features. The histogram and color moments approach is used to extract the color feature, texture feature is extracted using statistical moments and co-occurrence matrix method and the shape feature is extracted using the morphological operations. The images and the extracted feature vectors are stored in the Pickle file. The system is robust as it provides search based on the multiple features. The performance of the system was evaluated by analyzing the retrieval results using precision and recall.
Computer Vision Beyond the Visible Spectrum
Recently, there has been a dramatic increase in the use of sensors in the non-visible bands. As a result, there is a need for existing computer vision methods and algorithms to be adapted for use with non-visible sensors, or for the development of completely new methods and systems. Computer Vision Beyond the Visible Spectrum is the first book to bring together state-of-the-art work in this area. It presents new & pioneering research across the electromagnetic spectrum in the military, commercial, and medical domains. By providing a detailed examination of each of these areas, it focuses on the development of state-of-the-art algorithms and looks at how they can be used to solve existing & new challenges within computer vision. Essential reading for academics & industrial researchers working in the area of computer vision, image processing, and medical imaging, it will also be useful background reading for advanced undergraduate & postgraduate students.
AsiaSim 2007 ; Asia Simulation Conference 2007, Seoul, Korea, October 10-12, 2007, Proceedings
This book contains modeling, simulation, and their applications.It also contains e-business, supply chain management, general and engineering applications, manufacturing, medical, military,networks, transportation, traffic and virtual reality.
