الصفحة 78
الصفحة 78
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Developing metaverse for AIU

Metaverse is the virtual world in which humans can see each other in the form of 3D and communicate with each other in a virtual place that looks exactly like the real world, but the developers of metaverse so far used these virtual worlds for profit purposes only, this is what prompted us to build a virtual world that basicly contain the university, which can help students communicate with each other, see teachers and obtain the information they need from university employees without having to travel long distances, this project provides a distance education service without dispensing the idea of interacting with teachers directly and seeing others. Our virtual world has the ability to connect with any virtual world because of it’s base structure, It’s scalable as much as we need because it’s connected to the blockchain.

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Developing bus management system for AIU

To solve the problem of congestion in bus stops for students, members of the administrative and educational people at the Arab International University, an application was designed that allows the user to reserve a seat on the bus. The application provides prior reservation and enters the study time for the user, the application reminds him for the time of his going to the university. The basic functions of the application are designed according to the general analysis, The development of the application used Laravel, flutter frameworks, AI and MySQL database processing technology. The application has accomplished such functions as notification for location. The test of the application is running in good conditions. The use of the application will solve the problem of bus crowding. The efficiency of the platform makes it a very good candidate to be implemented for any person in Arab International University.

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Developing Ambient Intelligence ; Proceedings of the International Conference on Ambient Intelligence Developments (AmI.d’07)

The research papers included in the AmI.d proceedings are devoted to both theoretical and applied research, cover the most leading-edge research and contain contributions that have been formally reviewed and chosen by a selected International Program Committee. The contributions cover a wide range of AmI topics.

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Developing Ambient Intelligence ; Proceedings of the First International Conference on Ambient Intelligence Developments (AmID'06)

As Ambient Intelligence (AmI) ecosystems are rapidly becoming a reality, they raise new research challenges. Unlike predefined static architectures as we know them today, AmI ecosystems are bound to contain a large number of heterogeneous computing, communication infrastructures and devices that will be dynamically assembled. Architectures will be sensitive, adaptive, context-aware and responsive to users‚ needs and habits.Researchers need to both enable their user-friendly application in a growing number of areas while ensuring that these applications remain reliable and secure. Held in Sophia Antipolis (France) from September the 20th to September the 22nd 2006, the first edition of the AmI.d conference tackled the latest research challenges within AmI ecosystems, presented AmI applications as well as security solutions.

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Developing a distributed medical system

Our project is a distributed medical system that is used by patients and multiple medical sectors such as doctors, pharmacists, analysis labs, hospitals, and medical insurance companies. The aim of the project is to add and store all the patient’s medical data in our system, such as previous treatments and past medical records from previous doctors, previous prescriptions and older lab test’s results, in addition, the insurance companies will have the ability to check on the medical treatment of its customers to do the necessary procedures needed for the them to perform their work. All of our actors are working in a secure and synchronized system in order to provide the best medical results possible, each actor has its own transactions to do in our system and can only manage and access the data allowed for him to perform his required job.

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Deterministic and statistical methods in Machine Learning ; 1st International Workshop, Sheffield, UK, September 7-10, 2004. Revised Lectures

This book consitutes the refereed proceedings of the First International Workshop on Machine Learning held in Sheffield, UK, in September 2004. The 19 revised full papers presented were carefully reviewed and selected for inclusion in the book. They address all current issues in the rapidly maturing field of machine learning that aims to provide practical methods for data discovery, categorisation and modelling. The particular focus of the workshop was advanced research methods in machine learning and statistical signal processing.

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Detection of intrusions and malware, and vulnerability assessment ; 5th International Conference, DIMVA 2008, Paris, France, July 10-11, 2008. Proceedings

This book constitutes the refereed proceedings of the 5th International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, DIMVA 2008, held in Paris, France in July 2008.

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Detection of intrusions and malware, and vulnerability assessment ; 3rd International Conference, DIMVA 2006, Berlin, Germany, July 13-14, 2006, Proceedings

This book constitutes the refereed proceedings of the Third International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, DIMVA 2006, held in Berlin, Germany in July 2006.The 11 revised full papers presented were carefully reviewed and selected from 41 submissions.

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Detection of intrusions and malware, and vulnerability assessment ; 17th International Conference, DIMVA 2020, Lisbon, Portugal, June 24–26, 2020, Proceedings

This book constitutes the proceedings of the 17th International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, DIMVA 2020, held in Lisbon, Portugal, in June 2020.* The 13 full papers presented in this volume were carefully reviewed and selected from 45 submissions. The contributions were organized in topical sections named: vulnerability discovery and analysis; attacks; web security; and detection and containment.

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Designing virtual reality systems : The structured approach

Virtual Reality (VR) is a field of study that aims to create a system that provides a synthetic experience for its users. Developing and maintaining a VR system is a very difficult task, requiring in-depth knowledge in many different disciplines, such as sensing and tracking technologies, stereoscopic displays, multimodal interaction and processing, computer graphics and geometric modeling, dynamics and physical simulation, performance tuning, etc. The difficulty lies in the complexity of having to simultaneously consider many system goals, some of which are conflicting.

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Designing Ubiquitous Information Environments : Socio-Technical Issues and Challenges; IFIP TC8 WG 8.2 International Working Conference, August 1-3, 2005, Cleveland, Ohio, U.S.A.

The book brings in diverse perspectives on ubiquitous information environments, from computer-supported collaborative work, institutional perspective, diffusion of innovation, management, sociology, individual cognition, and software engineering. It also covers a variety of technologies that make up ubiquitous information environments including RFID, wireless grid, GPS, mobile phones, and wireless local area network. The papers cover many contexts of ubiquitous computing including personal use, library, automobile, healthcare, police, professional knowledge work, remote diagnostics of machines, and marketing, attesting to the wide range of potential of ubiquitous information environments.

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Designing smart homes : The role of artificial intelligence

The area of smart homes is fast developing as an emergent area which attracts the synergy of several areas of science. This volume offers a collection of contributions addressing how artificial intelligence (AI), one of the core areas of computer science, can bring the growing area of smart homes to a higher level of functionality where homes can truly realize the long standing dream of proactively helping their inhabitants in an intelligent way.

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Designing machine learning systems : An iterative process for production-ready applications

Machine learning systems are both complex and unique. Each design decision--such as how to process and create training data, which features to use, how often to retrain models, and what to monitor--in the context of how it can help your system as a whole achieve its objectives. The iterative framework in this book uses actual case studies backed by ample references. The book will help you tackle scenarios such as: Engineering data and choosing the right metrics to solve a business problem Automating the process for continually developing, evaluating, deploying, and updating models Developing a monitoring system to quickly detect and address issues your models might encounter in production Architecting an ML platform that serves across use cases Developing responsible ML systems

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Designing Intelligent Construction Projects

Readers will find: Illuminating case study material that highlights how change management methodologies, game theory, and collaborative contractual design can deliver results Strategies for achieving lean, viable, and digitally oriented construction leadership fit for the modern market Rigorous discussions of the current and potential future impact of digitization on construction firms

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Designing human interface in speech technology

Designing Human Interface in Speech Technology bridges a gap between the needs of the technical engineer and cognitive researchers working in the multidisciplinary area of speech technology applications. The approach is systematic and the focus is on the utility of developing and designing speech related products. Included is coverage of topics such as neuroscience on the multimodal cortex, cognitive theories on multi-task performance, stress and workload, as well as human information process theory and ecological interface design theory for evaluating speech-related human-system interfaces.

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Designing big data platforms : How to use, deploy, and maintain big data systems

Provides expert guidance and valuable insights on getting the most out of Big Data systems. Helps readers understand how to process large amounts of data with well-known Linux tools and database solutions, use effective techniques to collect and manage data from multiple sources, transform data into meaningful business insights, and much more. Author Yusuf Aytas, a software engineer with a vast amount of big data experience, discusses the design of the ideal Big Data platform: one that meets the needs of data analysts, data engineers, data scientists, software engineers, and a spectrum of other stakeholders across an organization. Detailed yet accessible chapters cover key topics such as stream data processing, data analytics, data science, data discovery, and data security. This real-world manual for Big Data technologies: Provides up-to-date coverage of the tools currently used in Big Data processing and management / Offers step-by-step guidance on building a data pipeline, from basic scripting to distributed systems / Highlights and explains how data is processed at scale / Includes an introduction to the foundation of a modern data platform

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Designing and Evaluating Value Added Services in Manufacturing E-Market Places

Presents the results of a research developed under a two years program titled “ “Distributed process and production planning in manufacturing enterprise networks” and funded by the Italian Ministry of Education, University and Research (MIUR) under the program PRIN2001.

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Designing and evaluating e-management decision tools : The integration of decision and negotiation models into internet-multimedia technologies

Presents the most relevant concepts for designing intelligent decision tools in an Internet-based multimedia environment and assessing the tools using concepts of statistical design of experiments. The book covers : Decision modeling paradigms , Visual interactive decision modeling , Online preference elicitation , collaborative decision making , negotiation and conflict resolution , marketing decision optimization , and guidelines for designing and evaluating decision support tools. This book is designed for the following uses: 1) for researchers and engineers, who are seeking recent advances and who are developing e-management systems; 2) for practitioners and managers, who seek insights about ICT potential and using ICT for business intelligence management; and 3) for students, who seek theoretical and practical concepts of building and evaluating prototype decision tools.

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Designing a programming education system for children to program and simulate robots

JuniorCoders is an innovative educational platform designed to introduce programming and robotics concepts to kids and beginners. It provides an easy-to-use visual programming interface that allows users to create Arduino programs by dragging and dropping blocks of code. The system aims to make programming accessible and shareable, allowing them to create complex programs without having to learn a traditional programming language. Enables users to program and simulate robots using Arduino boards.

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