Proceedings of the 2012 International Conference on Cybernetics and Informatics

Author: Shaobo Zhong

Publisher: Springer Science & Business Media

ISBN: 9781461438724

Category: Technology & Engineering

Page: 2455

View: 197

Proceedings of the International Conference on Cybernetics and Informatics (ICCI 2012) covers the hybridization in control, computer, information, communications and applications. ICCI 2012 held on September 21-23, 2012, in Chongqing, China, is organized by Chongqing Normal University, Chongqing University, Nanyang Technological University, Shanghai Jiao Tong University, Hunan Institute of Engineering, Beijing University, and sponsored by National Natural Science Foundation of China (NSFC). This two volume publication includes selected papers from the ICCI 2012. Covering the latest research advances in the area of computer, informatics, cybernetics and applications, which mainly includes the computer, information, control, communications technologies and applications.
Advanced Informatics for Computing Research

Author: Ashish Kumar Luhach

Publisher: Springer Nature

ISBN: 9789811636530

Category: Computers

Page: 283

View: 250

This two-volume set (CCIS 1393 and CCIS 1394) constitutes selected and revised papers of the 4th International Conference on Advanced Informatics for Computing Research, ICAICR 2020, held in Gurugram, India, in December 2020. The 34 revised full papers and 51 short papers presented were carefully reviewed and selected from 306 submissions. The papers are organized in topical sections on computing methodologies; hardware; networks; security and privacy.
Medical Imaging Technology

Author: Khin Wee Lai

Publisher: Springer

ISBN: 9789812875402

Category: Technology & Engineering

Page: 241

View: 722

This book presents the latest research findings and reviews in the field of medical imaging technology, covering ultrasound diagnostics approaches for detecting osteoarthritis, breast carcinoma and cardiovascular conditions, image guided biopsy and segmentation techniques for detecting lung cancer, image fusion, and simulating fluid flows for cardiovascular applications. It offers a useful guide for students, lecturers and professional researchers in the fields of biomedical engineering and image processing.
Artificial Cognition Architectures

Author: James Crowder

Publisher: Springer Science & Business Media

ISBN: 9781461480723

Category: Technology & Engineering

Page: 263

View: 309

The goal of this book is to establish the foundation, principles, theory, and concepts that are the backbone of real, autonomous Artificial Intelligence. Presented here are some basic human intelligence concepts framed for Artificial Intelligence systems. These include concepts like Metacognition and Metamemory, along with architectural constructs for Artificial Intelligence versions of human brain functions like the prefrontal cortex. Also presented are possible hardware and software architectures that lend themselves to learning, reasoning, and self-evolution
Artificial Intelligence Applications in Distance Education

Author: Kose, Utku

Publisher: IGI Global

ISBN: 9781466662773

Category: Education

Page: 329

View: 105

"This book seeks to examine the efforts made to bridge the gap between student and educator with computer applications through an in-depth discussion of applications employed to overcome the problems encountered during educational processes"--Provided by publisher.
Artificial Intelligence: Concepts, Methodologies, Tools, and Applications

Author: Management Association, Information Resources

Publisher: IGI Global

ISBN: 9781522517603

Category: Computers

Page: 3048

View: 282

Ongoing advancements in modern technology have led to significant developments in artificial intelligence. With the numerous applications available, it becomes imperative to conduct research and make further progress in this field. Artificial Intelligence: Concepts, Methodologies, Tools, and Applications provides a comprehensive overview of the latest breakthroughs and recent progress in artificial intelligence. Highlighting relevant technologies, uses, and techniques across various industries and settings, this publication is a pivotal reference source for researchers, professionals, academics, upper-level students, and practitioners interested in emerging perspectives in the field of artificial intelligence.
Recent Developments and the New Direction in Soft-Computing Foundations and Applications

Author: Lotfi A. Zadeh

Publisher: Springer

ISBN: 9783319754086

Category: Technology & Engineering

Page: 649

View: 663

This book is an authoritative collection of contributions in the field of soft-computing. Based on selected works presented at the 6th World Conference on Soft Computing, held on May 22-25, 2016, in Berkeley, USA, it describes new theoretical advances, as well as cutting-edge methods and applications. Theories cover a wealth of topics, such as fuzzy logic, cognitive modeling, Bayesian and probabilistic methods, multi-criteria decision making, utility theory, approximate reasoning, human-centric computing and many others. Applications concerns a number of fields, such as internet and semantic web, social networks and trust, control and robotics, computer vision, medicine and bioinformatics, as well as finance, security and e-Commerce, among others. Dedicated to the 50th Anniversary of Fuzzy Logic and to the 95th Birthday Anniversary of Lotfi A. Zadeh, the book not only offers a timely view on the field, yet it also discusses thought-provoking developments and challenges, thus fostering new research directions in the diverse areas of soft computing.
Innovative Web Applications for Analyzing Traffic Operations

Author: Natasha Petrovska

Publisher: Springer

ISBN: 9783319333199

Category: Computers

Page: 52

View: 295

In response to the need to improve road traffic operation, researchers implement advanced technologies and integration of systems and data, and develop state-of-the-art applications to assist traffic engineers. This SpringerBrief introduces three novel Web applications which can be an exceptional resource and a good visualization tool for traffic operators, managers, and analysts to monitor the congestion, and analyze incidents and signal performance measures. The applications offer more detailed analysis providing users with insights from different levels and perspectives. The benefit of providing these automated and interactive visualization tools is more efficient estimation of the local transport networks’ performance, thus facilitating the decision making process in case of emergency events.
Artificial Neural Networks and Evolutionary Computation in Remote Sensing

Author: Taskin Kavzoglu

Publisher: MDPI

ISBN: 9783039438273

Category: Science

Page: 256

View: 711

Artificial neural networks (ANNs) and evolutionary computation methods have been successfully applied in remote sensing applications since they offer unique advantages for the analysis of remotely-sensed images. ANNs are effective in finding underlying relationships and structures within multidimensional datasets. Thanks to new sensors, we have images with more spectral bands at higher spatial resolutions, which clearly recall big data problems. For this purpose, evolutionary algorithms become the best solution for analysis. This book includes eleven high-quality papers, selected after a careful reviewing process, addressing current remote sensing problems. In the chapters of the book, superstructural optimization was suggested for the optimal design of feedforward neural networks, CNN networks were deployed for a nanosatellite payload to select images eligible for transmission to ground, a new weight feature value convolutional neural network (WFCNN) was applied for fine remote sensing image segmentation and extracting improved land-use information, mask regional-convolutional neural networks (Mask R-CNN) was employed for extracting valley fill faces, state-of-the-art convolutional neural network (CNN)-based object detection models were applied to automatically detect airplanes and ships in VHR satellite images, a coarse-to-fine detection strategy was employed to detect ships at different sizes, and a deep quadruplet network (DQN) was proposed for hyperspectral image classification.
Enterprise Level Security 1 & 2

Author: Kevin Foltz

Publisher: CRC Press

ISBN: 9781000165173

Category: Computers

Page: 500

View: 691

This is a set, comprising of Enterprise Level Security and Enterprise Level Security 2. Enterprise Level Security: Securing Information Systems in an Uncertain World provides a modern alternative to the fortress approach to security. The new approach is more distributed and has no need for passwords or accounts. Global attacks become much more difficult, and losses are localized, should they occur. The security approach is derived from a set of tenets that form the basic security model requirements. Many of the changes in authorization within the enterprise model happen automatically. Identities and claims for access occur during each step of the computing process. Many of the techniques in this book have been piloted. These techniques have been proven to be resilient, secure, extensible, and scalable. The operational model of a distributed computer environment defense is currently being implemented on a broad scale for a particular enterprise. The first section of the book comprises seven chapters that cover basics and philosophy, including discussions on identity, attributes, access and privilege, cryptography, the cloud, and the network. These chapters contain an evolved set of principles and philosophies that were not apparent at the beginning of the project. The second section, consisting of chapters eight through twenty-two, contains technical information and details obtained by making painful mistakes and reworking processes until a workable formulation was derived. Topics covered in this section include claims-based authentication, credentials for access claims, claims creation, invoking an application, cascading authorization, federation, and content access control. This section also covers delegation, the enterprise attribute ecosystem, database access, building enterprise software, vulnerability analyses, the enterprise support desk, and network defense. Enterprise Level Security 2: Advanced Topics in an Uncertain World follows on from the authors’ first book on Enterprise Level Security (ELS), which covered the basic concepts of ELS and the discoveries made during the first eight years of its development. This book follows on from this to give a discussion of advanced topics and solutions, derived from 16 years of research, pilots, and operational trials in putting an enterprise system together. The chapters cover specific advanced topics derived from painful mistakes and numerous revisions of processes. This book covers many of the topics omitted from the first book including multi-factor authentication, cloud key management, enterprise change management, entity veracity, homomorphic computing, device management, mobile ad hoc, big data, mediation, and several other topics. The ELS model of enterprise security is endorsed by the Secretary of the Air Force for Air Force computing systems and is a candidate for DoD systems under the Joint Information Environment Program. The book is intended for enterprise IT architecture developers, application developers, and IT security professionals. This is a unique approach to end-to-end security and fills a niche in the market. Dr. Kevin E. Foltz, Institute for Defense Analyses, has over a decade of experience working to improve security in information systems. He has presented and published research on different aspects of enterprise security, security modeling, and high assurance systems. He also has degrees in Mathematics, Computer Science, Electrical Engineering, and Strategic Security Studies. Dr. William R. Simpson, Institute for Defense Analyses, has over two decades of experience working to improve systems security. He has degrees in Aeronautical Engineering and Business Administration, as well as undergoing military and government training. He spent many years as an expert in aeronautics before delving into the field of electronic and system testing, and he has spent the last 20 years on IT-related themes (mostly security, including processes, damage assessments of cyber intrusions, IT security standards, IT security evaluation, and IT architecture).
Economic Modeling Using Artificial Intelligence Methods

Author: Tshilidzi Marwala

Publisher: Springer Science & Business Media

ISBN: 9781447150107

Category: Computers

Page: 261

View: 701

Economic Modeling Using Artificial Intelligence Methods examines the application of artificial intelligence methods to model economic data. Traditionally, economic modeling has been modeled in the linear domain where the principles of superposition are valid. The application of artificial intelligence for economic modeling allows for a flexible multi-order non-linear modeling. In addition, game theory has largely been applied in economic modeling. However, the inherent limitation of game theory when dealing with many player games encourages the use of multi-agent systems for modeling economic phenomena. The artificial intelligence techniques used to model economic data include: multi-layer perceptron neural networks radial basis functions support vector machines rough sets genetic algorithm particle swarm optimization simulated annealing multi-agent system incremental learning fuzzy networks Signal processing techniques are explored to analyze economic data, and these techniques are the time domain methods, time-frequency domain methods and fractals dimension approaches. Interesting economic problems such as causality versus correlation, simulating the stock market, modeling and controling inflation, option pricing, modeling economic growth as well as portfolio optimization are examined. The relationship between economic dependency and interstate conflict is explored, and knowledge on how economics is useful to foster peace – and vice versa – is investigated. Economic Modeling Using Artificial Intelligence Methods deals with the issue of causality in the non-linear domain and applies the automatic relevance determination, the evidence framework, Bayesian approach and Granger causality to understand causality and correlation. Economic Modeling Using Artificial Intelligence Methods makes an important contribution to the area of econometrics, and is a valuable source of reference for graduate students, researchers and financial practitioners.
Cloud Computing

Author: Zaigham Mahmood

Publisher: Springer

ISBN: 9783319105307

Category: Computers

Page: 352

View: 938

This book reviews the challenging issues that present barriers to greater implementation of the cloud computing paradigm, together with the latest research into developing potential solutions. Topics and features: presents a focus on the most important issues and limitations of cloud computing, covering cloud security and architecture, QoS and SLAs; discusses a methodology for cloud security management, and proposes a framework for secure data storage and identity management in the cloud; introduces a simulation tool for energy-aware cloud environments, and an efficient congestion control system for data center networks; examines the issues of energy-aware VM consolidation in the IaaS provision, and software-defined networking for cloud related applications; reviews current trends and suggests future developments in virtualization, cloud security, QoS data warehouses, cloud federation approaches, and DBaaS provision; predicts how the next generation of utility computing infrastructures will be designed.