الصفحة 7
الصفحة 7
Embedded Robotics : Mobile Robot Design and Applications with Embedded Systems
The EyeBot controller and mobile robots have evolved over more than a decade. This book gives an in-depth introduction to embedded systems and autonomous mobile robots, using the EyeBot controller (EyeCon) and the EyeBot mobile robot family as application examples. This book combines teaching and research material and can be used for courses in Embedded Systems as well as in Robotics and Automation.
Embedded robotics : From mobile robots to autonomous vehicles with Raspberry Pi and Arduino
Presents a unique examination of mobile robots and autonomous vehicles using embedded systems, from introductory to advanced level. It is structured in four parts, dealing with Embedded Systems (processors, sensors, actuators, control, multitasking and communication), Robot Hardware (driving and walking robots, autonomous boats and planes, as well as robot manipulators), Robot Software (localization, navigation, image processing and automotive systems), and Artificial Intelligence (neural networks, genetic algorithms and deep learning). The book is organized for ease of use, with numerous figures, photographs, and worked example programs. The book is written as a text for courses in computer science, computer engineering, IT, electronics engineering, and mechatronics, as well as a guide for robot hobbyists and researchers.
Embedded Computer Systems : Architectures, Modeling, and Simulation ; 8th International Workshop, SAMOS 2008, Samos, Greece, July 21-24, 2008. Proceedings
This book constitutes the refereed proceedings of the 8th International Workshop on Systems, Architectures, Modeling, and Simulation, SAMOS 2008, held in Samos, Greece, in July 2008.
Embedded and Ubiquitous Computing - EUC 2005 ; International Conference EUC 2005, Nagasaki, Japan, December 6-9, 2005, Proceedings
Welcome to the proceedings of the 2005 IFIP International Conference on - bedded and Ubiquitous Computing (EUC 2005), which was held in Nagasaki, Japan, December 6–9, 2005. Embedded and ubiquitous computing is emerging rapidly as an exciting new paradigm to provide computing and communication services all the time, - erywhere. Its systems are now pervading every aspect of life to the point that they are hidden inside various appliances or can be worn unobtrusively as part of clothing and jewelry. This emergence is a natural outcome of research and technological advances in embedded systems, pervasive computing and c- munications, wireless networks, mobile computing, distributed computing and agent technologies, etc. Its tremendous impact on academics, industry, gove- ment, and daily life can be compared to that of electric motors over the past century, in fact it but promises to revolutionize life much more profoundly than elevators, electric motors or even personal computers. The EUC 2005 conference provided a forum for engineers and scientists in academia, industry, and government to address profound issues including te- nical challenges, safety, and social, legal, political, and economic issues, and to present and discuss their ideas, results, work in progress, and experience on all aspects of embedded and ubiquitous computing.
Electronic engineering for neuromedicine
Advances in electronics have revolutionized diagnostic tools and created mobile medicine, touch-sensitive prosthetics, remote surgery, and artificial organs such as hearts, retinas, and bionic skins. This reference text shows the number of ways in which electronic engineering feeds into neuromedicine namely: the modelling and simulation of the brain, providing access to the brain, analysis of the signals and activities of the brain and influencing the function of the brain for therapeutic purposes. The areas of electronic engineering considered are electronic circuits, spectral analysis, filtering of signals, electromagnetic fields and wave propagation. The book is a valuable source to medical students and practitioners as well as electronic engineering and physics students and graduates.
Economic Analysis of Information System Investment in Banking Industry
Explains in reahty, examines theoretically, and analyzes statistically information system investment in the banking industry with regard to the process of the information technology revolution. This kind of comprehensive research on the banking industry is the first in the world. It could be seen as an application study for Japanese financial deregulation after 1997. However, our project, the Workshop of Information System Investment, is a theoretical research venture, consisting originally, when it began in 1994, of economists and computer scientists. It aimed to measure the effect of com puter hardware and software on the modern economy, based on the microdata of each firm, and to extend the frontiers of economic science. It was, coin- dentally, the time when this project began full-scale operation, in July 1997, that the voluntary closure of Yamaichi Securities was decided. The failure of the Hokkaido Takushoku Bank was disclosed in November of the same year, and the breakdown, temporary nationalization, buying out, and mergers of several banks succeeded one another. Our research therefore suddenly got into the social spotlight on the application stage. Part I is the first history and strategic guidelines of information systems in the banking industry. Part II summarizes the economic analyses of informa tion system investment in the United States, Europe, and Japan. These parts are foundations for the statistical analyses in Part III.
Earth Observation Open Science and Innovation
The digital transformation is revolutionizing our ability to monitor our planet and transforming the way we access, process and exploit Earth Observation data from satellites.This book reviews these megatrends and their implications for the Earth Observation community as well as the wider data economy. It provides insight into new paradigms of Open Science and Innovation applied to space data, which are characterized by openness, access to large volume of complex data, wide availability of new community tools, new techniques for big data analytics such as Artificial Intelligence, unprecedented level of computing power, and new types of collaboration among researchers, innovators, entrepreneurs and citizen scientists. In addition, this book aims to provide readers with some reflections on the future of Earth Observation, highlighting through a series of use cases not just the new opportunities created by the New Space revolution, but also the new challenges that must be addressed in order to make the most of the large volume of complex and diverse data delivered by the new generation of satellites.
Do Smart Adaptive Systems Exist? : Best Practice for Selection and Combination of Intelligent Methods
This book is intended as a reference and a guide summarising and focusing on best practices when using intelligent techniques and building systems requiring a degree of adaptation and intelligence. Another attractive feature of the book is that it brings together experts from neural network, fuzzy, machine learning, evolutionary and hybrid systems communities who will provide their views on how these different intelligent technologies have contributed and will contribute to creation of smart adaptive systems of the future.
DNA Computing ; 7th International Workshop on DNA-Based Computers, DNA7, Tampa, FL, USA, June 10-13, 2001, Revised Papers
Constitutes the post-proceedings of the 7th International Workshop on DNA-Based Computers, held in Florida in 2001. The 26 papers cover experimental tools, theoretical tools, probabilistic computational models, computer simulation and sequence design, algorithms, experimental solutions and more.
Distributed applications and interoperable systems ; Vol. 3543 ; 5th IFIP WG 6.1 International conference, DAIS 2005, Athens, Greece, June 15-17, 2005, Proceedings
ThisvolumecontainstheproceedingsoftheIFIPWG6. 1InternationalWorking Conference on Distributed Applications and Interoperable Systems V held in Athens, Greece, on June 15–17, 2005. The conference program presented the state of the art in research concerning distributed and interoperable systems. The emergence of 4th-generation c- munication systems, the evolution of Internet technologies, the convergence of telecom and datacom, wireless and ?xed communication systems and appli- tions pave the path for ubiquitous service and application provision. Innovative solutions are required for the development, implementation and operation of distributed applications in complex IT environments full of diversity and h- erogeneity. Today, the emerging wide spectrum of distributed systems.
Distributed Applications and Interoperable Systems ; 8th IFIP WG 6.1 International Conference, DAIS 2008, Oslo, Norway, June 4-6, 2008. Proceedings
This volume contains the proceedings of DAIS 2008, the 8th IFIP International Conference on Distributed Applications and Interoperable Systems.
Digital Rights Management : Technologies, Issues, Challenges and Systems
The First International Conference on Digital Rights Management: Technology, Issues, Challenges and Systems (DRMTICS – pronounced ‘dramatics’), took place in Sydney, Australia on 31st October - 2nd November, 2005.DRMTICS isan internationalconferenceseriesthat coversthe areaof digital rights management, including research advancements of an applied and theor- ical nature. The goal is to have a broad coverage of the ?eld and related issues and subjects as the area evolves. Since the Internet and the computing infr- tructure has turned into a marketplace for content where information goods of various kinds are exchanged, this area is expected to grow and be part of the ongoing evolution of the information society.
Differential Evolution Algorithm with Type-2 Fuzzy Logic for Dynamic Parameter Adaptation with Application to Intelligent Control
This book focuses on the fields of fuzzy logic, bio-inspired algorithm, especially the differential evolution algorithm and also considering the fuzzy control area. The main idea is that these two areas together can help solve various control problems and to find better results. In this book, the authors test the proposed method using five benchmark control problems. First, the water tank, temperature, mobile robot, and inverted pendulum controllers are considered. For these 4 problems, experimentation was carried out using a Type-1 fuzzy system and an Interval Type-2 system. The last control problem was the D.C. motor, for which the experiments were performed with Type-1, Interval Type-2, and Generalized Type-2 fuzzy systems. When we use fuzzy systems combined with the differential evolution algorithm, we can notice that the results obtained in each of the controllers are better and with increasing uncertainty, the results are even better. For this reason, the authors consider in this book the proposed method using fuzzy systems and the differential evolution algorithm to improve the fuzzy controllers’ behavior in complex control problems.
Differential Evolution : A Practical Approach to Global Optimization
Problems demanding globally optimal solutions are ubiquitous, yet many are intractable when they involve constrained functions having many local optima and interacting, mixed-type variables. The differential evolution (DE) algorithm is a practical approach to global numerical optimization which is easy to understand, simple to implement, reliable, and fast. Packed with illustrations, computer code, new insights, and practical advice, this volume explores DE in both principle and practice. It is a valuable resource for professionals needing a proven optimizer and for students wanting an evolutionary perspective on global numerical optimization.
Diagrammatic Representation and Inference ; 5th International Conference, Diagrams 2008, Herrsching, Germany, September 19-21, 2008. Proceedings
This book constitutes the refereed proceedings of the 5th International Conference on Theory and Application of Diagrams, Diagrams 2008, held in Herrsching, Germany, in September 2008.
Diabetes genetic finder & predictor = أداة البحث والتنبؤ الجيني لمرض السكري
The diabetes genetic finder & predictor app is a comprehensive, user-friendly solution that revolutionizes diabetes care. This powerful app integrates a wide array of features designed to empower diabetes patients and enhance their overall well-being. A standout feature of the app is its ability to predict the risk of hereditary diabetes diseases, offering users early detection and intervention opportunities. It also predicts general diabetes risk, diabetic foot complications, and retinopathy. Users can monitor their blood sugar levels, heart rate, and oxygenation either manually or through smart watch integration. Additionally, users can enter their diabetes type and HbA1c levels.The app's medication management feature simplifies the complex task of tracking and organizing medications, providing timely reminders to ensure adherence to treatment plans. Users can scan QR codes on products to check their sugar content and suitability, schedule their medications, generate reports for specific periods, and access a comprehensive list of frequently asked questions about diabetes..
Design by Evolution : Advances in Evolutionary Design
This book showcases the state of the art in evolutionary algorithms for design. The chapters are organized by experts in the following fields: evolutionary design and "intelligent design" in biology, art, computational embryogeny, and engineering.
Defence Applications of Multi-Agent Systems; International Workshop, DAMAS 2005, Utrecht, The Netherlands, July 25, 2005, Revised and Invited Papers
This book constitutes the thoroughly refereed post-proceedings of the International Workshop on Defence Applications of Multi-Agent Systems, DAMAS 2005, held in Utrecht, The Netherlands in July 2005 as an associated event of AAMAS 2005, the main international conference on autonomous agents and multi-agent systems. The 10 revised full papers presented together with 1 invited article are organized in topical sections on decision support and simulation, unmanned aerial vehicles, as well as on systems and security.
Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms
Presents a comprehensive comparison of the performance of stochastic optimization algorithms / Includes an introduction to benchmarking and statistical analysis / Provides a web-based tool for making statistical comparisons of optimization algorithms / Overviews of the current approaches used to analyze algorithm performance in a range of common scenarios, while also addressing issues that are often overlooked. In turn, it shows how these issues can be easily avoided by applying the principles that have produced Deep Statistical Comparison and its variants. The focus is on statistical analyses performed using single-objective and multi-objective optimization data. At the end of the book, examples from a recently developed web-service-based e-learning tool (DSCTool) are presented. The tool provides users with all the functionalities needed to make robust statistical comparison analyses in various statistical scenarios. The book is intended for newcomers to the field and experienced researchers alike. For newcomers, it covers the basics of optimization and statistical analysis, familiarizing them with the subject matter before introducing the Deep Statistical Comparison approach. Experienced researchers can quickly move on to the content on new statistical approaches.
Deep learning approach for text summarization
Machine learning and deep learning, as we know, have started ruling over almost every field in the computing industry and so, has revolutionized the process of text summarization too. Automatic text summarization is an advancing realm of the natural language processing research in which concise textual summaries are generated from lengthy input documents. Extensive research has been carried out on how automatic summarization can be prosecuted through various extractive and abstractive techniques. In this paper, we address all the approaches to text summarization and present the modus operandi of an Architecture called Encoder Decoder, under the machine learning approach.
