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Advances in Applied Artificial Intelligence ; 19th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2006, Annecy, France, June 27-30, 2006, Proceedings
Intelligent Design and complex problem solving are twined like wife and husband.” In the current competitive global industrial environment there are many pr- lems which need intelligent systems technology for optimal solutions. The central theme of the 19th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2006) is to focus on the research methodologies and practical implementations of these methodologies for intelligent solutions of problems in real-world applications. We are pleased to present the papers in these proceedings which cover va- ous aspects of applications of applied intelligent systems. We received more than 330 papers from many countries and each paper was reviewed by at least two reviewers. Only 134 papers were selected for presentation in the normal and special sessions.
Advances and applications of DSmT for information fusion: Collected works ; Vol.3
One of the most comprehensive and flexible fusion theory based on belief functions. It can work in all fusion spaces: power set, hyper-power set, and super-power set, and has various fusion and conditioning rules that can be applied depending on each application. Some new generalized rules are introduced in this volume with codes for implementing some of them. For the qualitative fusion, the DSm Field and Linear Algebra of Refined Labels (FLARL) is proposed which can convert any numerical fusion rule to a qualitative fusion rule. When one needs to work on a refined frame of discernment, the refinement is done using Smarandache s algebraic codification. New interpretations and implementations of the fusion rules based on sampling techniques and referee functions are proposed, including the probabilistic proportional conflict redistribution rule.
Advances and applications of DSmT for information fusion ; Vol. 4
One of the most comprehensive and flexible fusion theory based on belief functions. It can work in all fusion spaces: power set, hyper-power set, and super-power set, and has various fusion and conditioning rules that can be applied depending on each application. Some new generalized rules are introduced in this volume with codes for implementing some of them. For the qualitative fusion, the DSm Field and Linear Algebra of Refined Labels (FLARL) is proposed which can convert any numerical fusion rule to a qualitative fusion rule. When one needs to work on a refined frame of discernment, the refinement is done using Smarandache s algebraic codification. New interpretations and implementations of the fusion rules based on sampling techniques and referee functions are proposed, including the probabilistic proportional conflict redistribution rule.
Advanced Wired and Wireless Networks
ADVANCED WIRED AND WIRELESS NETWORKS brings the reader a sample of recent research efforts representative of advances in the areas of recognized importance for the future Internet, In Part I, we bring ad-hoc networking closer to the reality of practical use. The focus is on more advanced scalable routing suitable for large networks, directed flooding useful in information dissemination networks, as well as self-configuration and security issues important in practical deployments. Part II illustrates the efforts towards development of advanced mobility support techniques (beyond traditional "mobile phone net") and Mobile IP technologies. The issues range from prediction based mobility support, through context transfer during Mobile IP handoff, to service provisioning platforms for heterogeneous networks. The focus of the final section concerns the performance of networks and protocols. Furthermore this section illustrates researchers’ interest in protocol enhancement requests for improved performance with advanced networks, reliable and efficient multicast methods in unreliable networks, and composite scheduling in programmable/active networks where computing resources equal network performance as transmission bandwidth.
Advanced Web and Network Technologies, and Applications ; APWeb 2006 International Workshops : XRA, IWSN, MEGA, and ICSE, Harbin, China, January 16-18, 2006, Proceedings
The QOS evaluating model for computational grid nodes put forward can help greatly improving the self-adaptability of resource management and accelerating the appli- tion and development of Computational Grid. Now this model has been applied in NPU Campus Computational Grid. And the good effect brought by it has effectively proved its function. References 1. Foster, I. and C. Kesselman, eds. The Grid: Blueprint for a New Computing Infrastructure. Morgan Kaufmann, 1999. 2. Liu Liang, Zhou Xing-she, and Gu Jian-hua: A Multi-Agent System for Grid Computing. The Second International Conference on Active Media Technology, 2003 3. Yao Wang, Julita Vassileva: Trust and Reputation Model in Peer-to-Peer Networks. Farag Azzedin and Muthucumaru Maheswaran: Integrating Trust into Grid Resource M- agement Systems.
Advanced Techniques in Knowledge Discovery and Data Mining
This explosion is a result of the growing use of electronic media. But what is data mining (DM)? A Web search using the Google search engine retrieves many (really many) definitions of data mining. We include here a few interesting ones. One of the simpler definitions is: “As the term suggests, data mining is the analysis of data to establish relationships and identify patterns” [1]. It focuses on identifying relations in data. Our next example is more elaborate: An information extraction activity whose goal is to discover hidden facts contained in databases. Using a combination of machine learning, statistical analysis, modeling techniques and database technology, data mining finds patterns and subtle relationships in data and infers rules that allow the prediction of future results. Typical applications include market segmentation, customer profiling, fraud detection, evaluation of retail promotions, and credit risk analysis .
Advanced studies in biometrics : Summer School on biometrics, Alghero, Italy, June 2-6, 2003. Revised Selected Lectures and Papers
This book originates from an international summer school on biometrics, held in Alghero, Italy, in June 2003. The seven revised tutorial lectures by leading researchers introduce the reader to biometrics-based person authentication, fingerprint recognition, gait recognition, various aspects of face recognition and face detection, topologies for biometric recognition, and hand detection. Also included are the four best selected student papers, all dealing with face recognition.
Advanced SharePoint Services Solutions
Whether or not youve already benefited from Scot P. Hillier's first renowned Apress book, Microsoft SharePoint: Building Office 2003 Solutions, this fantastic follow-up is sure to please! This book will cover advanced techniques for programming web parts and SharePoint Services. Hillier also covers advanced integration techniques with related products like BizTalk Server 2004 and Content Server. Intended for advanced developers who already know all of the basic SharePoint Services, this book will steer you in solving ultra-specific, advanced problems.
Advanced sensors technologies applied in mobile robot
Contains contributions on the latest developments in mobile robotic systems and related research. Various topics with different ideas and applications from mobile robotics have found their place. New ideas are presented for mobile robots that specialise in cleaning floors, power lines and HVAC systems. We also find innovative approaches for navigation path planning using local minima-free potential fields, novel path primitives and/or their parameterisation for minimum-time planning, and various control approaches ranging from visual serving to model predictive and adaptive trajectory tracking, applied to wheeled robots, humanoid manipulators and flying robots. Localisation approaches using LiDAR, motion capture systems, fingerprint-based and biomechanical gait systems are also discussed.
Advanced parallel processing technologies ; 6th International Workshop, APPT 2005, Hong Kong, China, October 27-28, 2005, Proceedings
APPT 2005: the 6th International Workshop on Advanced Parallel Processing Technologies. APPT is a biennial workshop on parallel and distributed processing. Its scope covers all aspects of parallel and distributed computing technologies , including architectures, software systems and tools, algorithms, and applications. This year, APPT 2005 received over 220 submissions from researchers all over the world. . The papers in this volume represent the forefront of research on parallel processing and related ?elds by researchers from China, Germany, USA, Korea, India, and other countries. The papers - cepted cover a wide range of exciting topics, including architectures, software, networking, and applications.
Advanced methods for knowledge discovery from complex data
An overview of the field, looking at the issues and challenges involved is followed by coverage of recent trends in data mining, including descriptions of some currently popular tools like genetic algorithms, neural networks and case-based reasoning. This provides the context for the subsequent chapters on methods and applications. Part I is devoted to the foundations of mining different types of complex data like trees, graphs, links and sequences. A knowledge discovery approach based on problem decomposition is also described. Part II presents important applications of advanced mining techniques to data in unconventional and complex domains, such as life sciences, world-wide web, image databases, cyber security and sensor networks. With a good balance of introductory material on the knowledge discovery process, advanced issues and state-of-the-art tools and techniques, as well as recent working applications this book provides a representative selection of the available methods and their evaluation in real domains. It will be useful to students at Masters and PhD level in Computer Science, as well as practitioners in the field.
Advanced machine learning and deep learning approaches for remote sensing
Provides research on how technologies such as artificial intelligence-based machine learning and deep learning can be applied to remote sensing. Through this, we can see the process of solving the existing problems of image and image signal processing for remote sensing. These techniques are computationally intensive and require the help of high-performance computing devices. With the development of devices such as GPUs, remote sensing technology, and aerial sensing technology, it is possible to monitor the Earth with high-resolution images and to obtain vast amounts of Earth observation data. The papers published in this reprint describe recent advances in big data processing and artificial intelligence-based technologies for remote sensing technology.
Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques ; 4th International Conference on Intelligent Computing, ICIC 2008 Shanghai, China, September 15-18, 2008 Proceedings
Constitutes the refereed proceedings of the Fourth International Conference on Intelligent Computing, ICIC 2008, held in Shanghai, China in September 2008.
Advanced Intelligent Computing Theories and Applications : With Aspects of Artificial Intelligence ; 4th International Conference on Intelligent Computing, ICIC 2008 Shanghai, China, September 15-18, 2008 Proceeding
This book - in conjunction with the two volumes CCIS 0015 and LNCS 5226 - constitutes the refereed proceedings of the 4th International Conference on Intelligent Computing, ICIC 2008, held in Shanghai, China, in September 2008.
Advanced Information Systems Engineering ; 20th International Conference, CAiSE 2008 Montpellier, France, June 16-20, 2008 Proceedings
This book constitutes the refereed proceedings of the 20th International Conference on Advanced Information Systems Engineering, CAiSE 2008, held in Montpellier, France, in June 2008.
Advanced information systems Engineering ; 17th International conference, CAiSE 2005, Porto, Portugal, June 13-17, 2005, Proceedings
Contains the papers accepted and presented at revised CAiSE 2005 the seventeenth in the series of International Conferences onAdvanced Information Systems. theCAiSE conferences have provided a forum for the presentation and exchange ofresearch results and practical experiences within the field of advanced informa-tion systems engineering. In 2005, .The conference theme of CAiSE 2005 was “Improving Communication andUnderstanding — Systems and Citizens.” Behind this theme, we find the factthat the Internet has been changing societies and economies, and the way in-stitutions and businesses operate has evolved rapidly.
AdvancED Flash Interface Design
Flash allows users to create some amazing interactive interfaces to interact with rich Internet applications, e-learning systems, and simple web sites. In this book, two of the most talented Flash designers in the world will show you how to use them effectively to create breathtaking visuals for your Flash web sites. You'll also learn how to take advantage of Flash's powerful built-in vector-based drawing tools.
Advanced environments, tools, and applications for cluster computing ; NATO Advanced Research Workshop, IWCC 2001, Mangalia, Romania, September 1-6, 2001. Revised Papers
Started by small group of well known scientists with the aim of sharing knowledge, experiences, and results on all aspects of cluster computing, the initiative of a workshop on cluster computing received more attention after IFIP WG 10.3 and IEEE Romania Section accepted our request for sponsorship. Moreover, the application for a NATO ARW grant was successful, leading to a greater interest in the workshop. In this respect, we have to say that we chose Romania in order to attract scientists from Central and Eastern European countries and improve the cooperation in the region, in the field of cluster computing. We had an extremely short time to organize the event, but many people joined us and enthusiastically contributed to the process. The success of the workshop is wholly due to the hard work of the organizing committee, members of the program committee, key speakers, speakers from industry, and authors of accepted papers.
Advanced driver assistance system (ADAS)
The purpose of Advanced Driver Assistance Systems (ADAS) is to reduce or eliminate driver errors, and to enhance efficiency in traffic and transportation. Our project is a means and a great contribution to safe driving, and the user does not need to install sensors or hard tools to the vehicle, and through it, the cost can be reduced and maintenance cost can be eliminated. The images are processed and segmented to find different features in the image. Segmented images are used for identification and classification based on various machine learning algorithms and neural networks. The main focus of ADAS technologies is to contribute to factors such as safety management and automated, stress-free driving for the driver
Advanced Decision Sciences Based on Deep Learning and Ensemble Learning Algorithms : A Practical Approach Using Python
Describes the deep learning models and ensemble approaches applied to decision-making problems. The authors have addressed the concepts of deep learning, convolutional neural networks, recurrent neural networks, and ensemble learning in a practical sense providing complete code and implementation for several real-world examples. The authors of this book teach the concepts of machine learning for undergraduate and graduate-level classes and have worked with Fortune 500 clients to formulate data analytics strategies and operationalise these strategies.
