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Component models and systems for grid applications ; Proceedings of the Workshop on Component Models and Systems for Grid Applications held June 26, 2004 in Saint Malo, France.

This first volume of the CoreGRID series addresses such vital issues as the architecture of the Grid, the way software will influence the development of the Grid, and the practical applications of Grid technologies for individuals and businesses alike. Part I of the book, Application-Oriented Designs, focuses on development methodology and how it may contribute to a more component-based use of the Grid. Middleware Architecture, the second part, examines portable Grid engines, hierarchical infrastructures, interoperability, as well as workflow modeling environments. The final part of the book, Communication Frameworks, looks at dynamic self-adaptation, collective operations, and higher-order components. With Component Models and Systems for Grid Applications, editors Vladimir Getov and Thilo Kielmann offer the computing professional and the computing researcher the most informative, up-to-date, and forward-looking thoughts on the fast-growing field of Grid studies.

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Building a collaborative project management system: (Click)

Speaking on construction projects, we can imagine the huge amount of work, effort and time spent to complete any project. Because of the need for tools that facilitate the process of managing and tracking work and managing huge data and information and making it common to all the stockholder involved in the project, this system has been found to meet those needs of engineers, where it can manage employees, materials ,workers and the huge amount of data and enables it to track the progress of work .This system provides the possibility of communication between managers and this The system is considered a tool of the BIM system, which stands for Building Information Modeling.

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Blind smart helmet

The Smart Helmet for the Blind is a project aimed at providing solutions for the challenges faced by blind individuals in their daily lives. The problem of detecting objects, identifying obstacles and distances, knowing the current location, and using a mobile application is a common issue for blind people. To address these problems, the Smart Helmet project was created, utilizing advanced technology and artificial intelligence to provide real-time assistance to the wearer. The helmet is connected to a Raspberry Pi 4, which processes information from the helmet's cameras and AI algorithms to analyze and predict the surrounding environment for a blind person.

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Autonomic management of mobile multimedia services ; 9th IFIP/IEEE International conference on management of multimedia and mobile networks and services, MMNS 2006, Dublin, Ireland, October 25-27, 2006, Proceedings

th This volume presents the proceedings of the 9 IFIP/IEEE International Conference on Management of Multimedia and Mobile Networks and Services (MMNS 2006), th th which was held from October 25 to 27 as part of Manweek 2006 in Dublin,Ireland. In line with its reputation as one of the pre-eminent fora for the discussion anddebate of advances in management of multimedia networks and services, the 2006 iteration of MMNS brought together an international audience of researchers and practitioners from both industry and academia.

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Artificial neural networks in Pattern Recognition ; 9th IAPR TC3 Workshop, ANNPR 2020, Winterthur, Switzerland, September 2–4, 2020, Proceedings

This book constitutes the refereed proceedings of the 9th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2020, held in Winterthur, Switzerland, in September 2020. The conference was held virtually due to the COVID-19 pandemic. The 22 revised full papers presented were carefully reviewed and selected from 34 submissions. The papers present and discuss the latest research in all areas of neural network-and machine learning-based pattern recognition. They are organized in two sections: learning algorithms and architectures, and applications.

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Artificial neural networks in Pattern Recognition ; 3d IAPR Workshop, ANNPR 2008 Paris, France, July 2-4, 2008 Proceedings

Constitutes the refereed proceedings of the Third TC3 IAPR Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2008, held in Paris, France, in July 2008.

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Artificial neural networks in Pattern Recognition ; 2nd IAPR Workshop, ANNPR 2006, Ulm, Germany, August 31-September 2, 2006, Proceedings

This book constitutes the refereed proceedings of the Second IAPR Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2006, held in Ulm, Germany in August/September 2006. The 26 revised papers presented were carefully reviewed and selected from 49 submissions. The papers are organized in topical sections on unsupervised learning, semi-supervised learning, supervised learning, support vector learning, multiple classifier systems, visual object recognition, and data mining in bioinformatics

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Artificial intelligence techniques in hydrology and water resources management

The sustainable management of water cycles is crucial in the context of climate change and global warming. It involves managing global, regional, and local water cycles, as well as urban, agricultural, and industrial water cycles, to conserve water resources and their relationships with energy, food, microclimates, biodiversity, ecosystem functioning, and anthropogenic activities. Hydrological modeling is indispensable for achieving this goal, as it is essential for water resources management and the mitigation of natural disasters. In recent decades, the application of artificial intelligence (AI) techniques in hydrology and water resources management has led to notable advances. In the face of hydro-geo-meteorological uncertainty, AI approaches have proven to be powerful tools for accurately modeling complex, nonlinear hydrological processes and effectively utilizing various digital and imaging data sources, such as ground gauges, remote sensing tools, and in situ Internet of Things (IoT) devices.

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Artificial intelligence in HCI ; 1st International conference, AI-HCI 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings

This book constitutes the refereed proceedings of the First International Conference on Artificial Intelligence in HCI, AI-HCI 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020, in July 2020. The conference was planned to be held in Copenhagen, Denmark, but had to change to a virtual conference mode due to the COVID-19 pandemic.

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Applied Parallel Computing ; State of the Art in Scientific Computing ; 8th International Workshop, PARA 2006, Umea, Sweden, June 18-21, 2006, Revised Selected Papers

It covers partial differential equations, parallel scientific computing algorithms, linear algebra, simulation environments, algorithms and applications for blue gene/L, scientific computing tools and applications, parallel search algorithms, peer-to-peer computing, mobility and security, algorithms for single-chip multiprocessors.

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Agent Technology from a Formal Perspective

The field of agent & multi-agent systems is experiencing tremendous growth. At the same time the field of formal methods is blossoming and has proven its importance in industrial and government applications. The FAABS (Formal Approaches to Agent-Based Systems) workshops, merging the concerns of the two fields, provided a timely and compelling platform on which the growing concerns and requirement of agent-based systems users that systems should be accompanied by behavioral assurances, could be discussed. This book has arisen from the overwhelming response to FAABS ’00, ’02 & ’04 and all chapters are updated or represent new research, and are designed to provide a more in-depth treatment of the topic. Examples of how others have applied formal methods to agent-based systems are included, plus formal method tools & techniques that readers can apply to their own systems.

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Advances in fuzzy logic systems

Fuzzy logic systems have been a hot topic in the scientific and academic community for more than half a century. The idea of making machines behave and make decisions like humans do is astounding. The development and implementation of fuzzy logic systems can be seen in various real physical applications in daily human life. The methods employed using fuzzy logic have resulted in innovative technologies. This book provides insights into understanding the principles and concepts behind the advances of fuzzy logic systems. It presents ideas concerning fuzzy logic systems and their technological applications. The book is arranged into two sections on theories and foundations of fuzzy logic systems and implementations of fuzzy logic systems in service to the community.

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Advances in computer graphics ; 24th Computer graphics international conference, CGI 2006, Hangzhou, China, June 26-28, 2006, Proceedings

Contains 39 full papers and 39 short papers accepted by CGI 2006. CGI conference was initially founded by the Computer Graphics Society in 1983 and has now become a widely recognized, high-quality academic conference in the field of computer graphics. Recent CGI conferences were held in New York (2005), Crete (2004), Tokyo (2003), Bradford (2002), Hong Kong (2001) and Geneva (2000). The CGI 2006 Program Committee received an overwhelming 387 submissions from many countries worldwide. China and Korea contributed many enthusiastic submissions. Based on the strict review comments of international experts, we selected 38 full papers and 37 short papers for presentations.

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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.

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25 Years of Model Checking : History, Achievements, Perspectives

Model checking technology is among the foremost applications of logic to computer science and computer engineering. The model checking community has achieved many breakthroughs, bridging the gap between theoretical computer science and hardware and software engineering, and it is reaching out to new challenging areas such as system biology and hybrid systems. Model checking is extensively used in the hardware industry and has also been applied to the verification of many types of software. Model checking has been introduced into computer science and electrical engineering curricula at universities worldwide and has become a universal tool for the analysis of systems.

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