Implications of Generative AI on Future Autonomous and Industrial Systems
Smart Synergy
Cyber-Physical Systems (CPS) merge advanced computational algorithms with physical healthcare processes, creating real-time, interactive systems that revolutionize medical practices. These systems integrate sensors, data processing units, communication networks, and control systems to monitor, analyze, and respond to patient needs. Applications include remote patient monitoring, personalized medicine, telemedicine, and smart implants, which enhance accuracy, accessibility, and cost-efficiency. While challenges like data security and interoperability persist, CPS's transformative potential lies in its ability to deliver precise, patient-centric care, optimize resources, and address global healthcare challenges. With advancing technologies, CPS is poised to redefine the future of healthcare delivery.
Optical Character Recognition of Sanskrit Manuscripts using Convolution Neural Networks
Optical Character Recognition of Sanskrit Manuscripts Using Convolution Neural Networks delves into the cutting-edge application of deep learning for deciphering Sanskrit manuscripts written in Devanagari script. Tackling one of the most challenging tasks in OCR-recognizing Sanskrit's intricate characters and symbols-this work presents a robust system designed to enhance recognition accuracy for scanned text images. By employing advanced architectures such as Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM), and Bidirectional LSTM, alongside traditional classifiers like k-Nearest Neighbors (KNN) and Support Vector Machines (SVM), the research achieves remarkable accuracy rates. Beyond single-touching characters, it innovatively addresses overlapping lines, connected letters, and half-characters, providing solutions to limitations in existing systems. With a peak recognition accuracy of 98.64% for mixed Sanskrit text, this study is a vital contribution to the preservation and digitization of ancient literature. It opens new doors to computational linguistics, ensuring Sanskrit's cultural heritage thrives in the digital age.
The Behavioural Study of Stocks and LSTM Algorithm
"Unlock the secrets of the stock market with the power of machine learning. This comprehensive guide explores cutting-edge techniques for predicting stock prices using advanced algorithms and data analysis. From feature engineering to model optimization, you'll discover practical strategies to gain an edge in trading and investing. Whether you're a finance enthusiast, data scientist, or aspiring trader, this book equips you with the tools to make data-driven decisions in the fast-paced world of the stock market. Take the first step toward mastering predictive analytics and achieving financial success!"
Beyond Single Modalities
In an era where secure authentication is paramount, multimodal biometrics stands at the forefront of innovation, combining multiple physiological and behavioral traits to create robust and reliable systems. This comprehensive guide, ""Beyond Single Modalities: A Guide to Multimodal Biometrics,"" delves into the science and technology behind integrating diverse modalities, such as fingerprint, face, iris, voice, and gait, to overcome the limitations of single-modal systems. From foundational concepts to cutting-edge advancements, this book explores the design, implementation, and real-world applications of multimodal biometric systems, offering insights into their role in enhancing security, reducing vulnerabilities, and shaping the future of authentication. Ideal for researchers, students, and professionals, this guide paves the way for understanding the potential and challenges of this transformative technology.
Notes on Agent-based Applications
This book is a comprehensive guide designed to lead readers through the fascinating world of programming, machine learning, and artificial intelligence, from the very basics to cutting-edge applications. Beginning with foundational Python concepts, it gradually introduces readers to the intricacies of machine learning, neural networks, and deep learning architectures like convolutional neural networks. As the journey unfolds, the book delves into more advanced topics such as natural language understanding and the transformative power of large language models (LLMs), including modern developments like transformers and GPT models towards Agentic AI framework. Readers will not only learn how to implement these models but will also explore practical, agent-based applications, enabling machines to act intelligently and autonomously-writing and executing code, solving complex tasks, and interacting with APIs in dynamic environments. With a clear, structured approach and step-by-step tutorials, this book offers both beginners and experienced AI enthusiasts an accessible yet deeply insightful dive into one of the most exciting fields of technology today. Whether you're aiming to understand the basics or build real-world applications, this book provides a roadmap to mastering AI. It is always amazing to connect with my audience. Please feel free to connect with me from my personal site: https: //www.y-yin.io/. Both LinkedIn and YouTube can be accessed from the personal site.
Advancing Responsible AI in Public Sector Application
Responsible use of AI in public sector applications requires engagement with various technical and non-technical areas such as human rights, inclusion, diversity, innovation and economic growth. The book covers topics spanning the technological socio-economic spectrum, including the potential of AI/ML technologies to address social and political inequities, privacy-enhancing technologies for datasets, friction-less data sharing and data stewardship models, regional/geographical inequities in extraction and so forth.Features: Focuses on technical aspects of responsible AI in the public sector Covers a wide range of topics spanning the technological socio-economic spectrum Presents viewpoints from public sector agencies as well as from practitioners Discusses privacy-enhancing technologies for collecting, processing and storing datasets, and friction Reviews frameworks to identify and address biased AI outcomes in the design, development and use of AI This book is aimed at professionals, researchers and students in artificial intelligence, computer science and engineering, policy-makers, social scientists, economists and lawyers.
Big Data Analytics Framework for Smart Grids
The text comprehensively discusses smart grid operations and the use of big data analytics in overcoming the existing challenges. It covers smart power generation, transmission, and distribution, explains energy management system, artificial intelligence, and machine learning based computing.
Multimedia Data Processing and Computing
This book focuses on different applications of multimedia with supervised and unsupervised data engineering in the modern world. It includes AI-based soft computing and machine techniques in the field of medical diagnosis, biometric, networking, manufacturing, data science, automation in electronics industries, and many more relevant fields.
Ultimate AI-Assisted Development with GitHub Copilot
Code smarter, Test faster, and Build better with GitHub Copilot! Book DescriptionAI-assisted coding is transforming how software is built-faster, smarter, and with fewer errors. GitHub Copilot leads this revolution by turning natural language into functional code, enabling developers to focus on solving problems rather than writing boilerplate. The Ultimate AI-Assisted Development with GitHub Copilot takes you step-by-step through mastering Copilot, starting with initial setup and basic use across multiple languages like Java, Python, TypeScript, Go, and C++. You'll explore prompt engineering techniques to craft effective instructions, leverage multi-modal inputs to interact beyond text, and unlock advanced features like Vibe Coding and Agent Mode to create context-aware, intelligent workflows. The book also covers integrating Copilot into testing and debugging processes, automating repetitive tasks, and embedding AI-powered coding into CI/CD pipelines to streamline DevOps practices. Whether you're building APIs, automating tests, refactoring code, or optimizing release workflows, this book teaches you how to collaborate with AI-not just use it. Don't get left behind-unlock the full potential of GitHub Copilot and future-proof your skills today. Table of Contents1. The Rise of AI in Coding2. Getting Started with GitHub Copilot3. JavaScript/TypeScript with GitHub Copilot4. Python and AI-Assisted Coding5. Java with Copilot6. C/C++ with Copilot7. Go Programming with Copilot8. Pair Programming with Copilot9. Advanced Techniques with Copilot10. Testing and Debugging with Copilot11. Updating Workflows with GitHub Copilot12. Integrating Copilot with IDEs13. Best Practices and Limitations14. Copilot in Education15. Real-World Use Cases and Case Studies16. The Future of AI-Assisted Coding17. Recap of the Key Points Index
Mastering Algorithms
Algorithms are the foundational language of computing, driving everything from efficient search engines to complex machine learning. Acquiring them is essential for any developer or computer scientist seeking to build high-performance, scalable software. The book explores the fundamental data structures like arrays, stacks, queues, linked lists, hashing, and various trees, as well as binomial and Fibonacci heaps. With this foundation, you will explore a wide range of sorting and searching algorithms, from simple methods to more advanced techniques like radix sort and exponential search. You will gain a deep understanding of general methods and applications of divide and conquer, greedy algorithms, dynamic programming, backtracking, and branch and bound, each explained with classic examples.By the end of this book, you will possess the knowledge and skills needed to tackle challenges head-on, whether in academia or the ever-evolving landscape of technology. You will be prepared for the challenges of building robust software in any professional setting. WHAT YOU WILL LEARN● Analyze algorithm and program performance metrics.● Master fundamental data structures for efficiency.● Understand sorting algorithms like quick sort, merge sort.● Explore searching techniques like binary search.● Apply divide and conquer for problem-solving.● Design greedy algorithms for optimization tasks.● Implement graph algorithms for network analysis.WHO THIS BOOK IS FORThis book is for students, programmers, and coders who have a foundational understanding of programming. Readers should be comfortable with basic syntax and logic to fully engage with the algorithmic concepts and their implementations.
Fault and Defect Tolerant Computer Architectures
As conventional silicon Complementary Metal-Oxide-Semiconductor (CMOS) technology continues to shrink, logic circuits are increasingly subject to errors in- duced by electrical noise and cosmic radiation. In addition, the smaller devices are more likely to degrade and fail in operation. In the long term, new device technolo- gies such as quantum cellular automata and molecular crossbars may replace silicon CMOS, but they have significant reliability problems. Rather than requiring the cir- cuit to be defect-free, fault tolerance techniques incorporated into an architecture allow continued system operation in the presence of faulty components. This research addresses construction of a reliable computer from unreliable de- vice technologies. A system architecture is developed for a "fault and defect tolerant" (FDT) computer. Trade-offs between different techniques are studied, and the yield of the system is modelled. Yield and hardware cost models are developed for the fault tolerance techniques used in the architecture. Fault and defect tolerant designs are created for the processor, and its most critical component, the cache memory.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
CMOS VLSI Layout and Verification of a SIMD Computer
A CMOS VLSI layout and verification of a 3 x 3 processor parallel computer has been completed. The layout was done using the MAGIC tool and the verification using HSPICE. Suggestions for expanding the computer into a million processor network are presented. Many problems that might be encountered when implementing a massively parallel computer are discussed.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Anti-Tamper Method for Field Programmable Gate Arrays Through Dynamic Reconfiguration and Decoy Circuits
As Field Programmable Gate Arrays (FPGAs) become more widely used, security concerns have been raised regarding FPGA use for cryptographic, sensitive, or proprietary data. Storing or implementing proprietary code and designs on FPGAs could result in compromise of sensitive information if the FPGA device was physically relinquished or remotely accessible to adversaries seeking to obtain the information. Although multiple defensive measures have been implemented (and overcome), the possibility exists to create a secure design through the implementation of polymorphic Dynamically Reconfigurable FPGA (DRFPGA) circuits. Using polymorphic DRFPGAs removes the static attributes from their design; thus, substantially increasing the difficulty of successful adversarial reverse-engineering attacks. A variety of dynamically reconfigurable methodologies exist for implementations that challenge designers in the reconfigurable technology field. A Hardware Description Language (HDL) DRFPGA model is presented for use in security applications. The Very High Speed Integrated Circuit HDL(VHSIC)language was chosen to take advantage of its capabilities, which are well suited to the current research. Additionally, algorithms that explicitly support granular autonomous reconfiguration have been developed and implemented on the DRFPGA as a means of protecting its designs. Documented testing validated the reconfiguration results, compared original FPGA and DRFPGA, security, power usage, and area estimates.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Load Balancing Using Time Series Analysis for Soft Real Time Systems With Statistically Periodic Loads
This thesis provides design and analysis of techniques for global load balancing on ensemble architectures running soft-real-time object-oriented applications with statistically periodic loads. It focuses on estimating the instantaneous average load over all the processing elements. The major contribution is the use of explicit stochastic process models for both the loading and the averaging itself. These models are exploited via statistical time-series analysis and Bayesian inference to provide improved average load estimates, and thus to facilitate global load balancing. This thesis explains the distributed algorithms used and provides some optimality results. It also describes the algorithms' implementation and gives performance results from simulation. These results show that our techniques allow more accurate estimation of the global system load ing, resulting in fewer object migration than local methods. Our method is shown to provide superior performance, relative not only to static load-balancing schemes but also to many adaptive methods.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Implementation and Optimization of the Advanced Encryption Standard Algorithm on an 8-Bit Field Programmable Gate Array Hardware Platform
The contribution of this research is three-fold. The first is a method of converting the area occupied by a circuit implemented on a Field Programmable Gate Array (FPGA) to an equivalent (memory included) as a measure of total gate count. This allows direct comparison between two FPGA implementations independent of the manufacturer or chip family. The second contribution improves the performance of the Advanced Encryption Standard (AES) on an 8-bit computing platform. This research develops an AES design that occupies less than three quarters of the area reported by the smallest design in current literature as well as significantly increases area efficiency. The third contribution of this research is an examination of how various designs for the critical AES SubBytes and MixColumns transformations interact and affect the overall performance of AES. The transformations responsible for the largest variance in performance are identified and the effect is measured in terms of throughput, area efficiency, and area occupied.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Load Balancing Using Time Series Analysis for Soft Real Time Systems With Statistically Periodic Loads
This thesis provides design and analysis of techniques for global load balancing on ensemble architectures running soft-real-time object-oriented applications with statistically periodic loads. It focuses on estimating the instantaneous average load over all the processing elements. The major contribution is the use of explicit stochastic process models for both the loading and the averaging itself. These models are exploited via statistical time-series analysis and Bayesian inference to provide improved average load estimates, and thus to facilitate global load balancing. This thesis explains the distributed algorithms used and provides some optimality results. It also describes the algorithms' implementation and gives performance results from simulation. These results show that our techniques allow more accurate estimation of the global system load ing, resulting in fewer object migration than local methods. Our method is shown to provide superior performance, relative not only to static load-balancing schemes but also to many adaptive methods.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
An FPGA-Based System for Tracking Digital Information Transmitted via Peer-to-Peer Protocols
This research addresses the problem of tracking digital information that is shared using peer-to-peer file transfer and VoIP protocols for the purposes of illicitly disseminating sensitive government information and for covert communication by terrorist cells or criminal organizations. A digital forensic tool is created that searches a network for peer-to-peer control messages, extracts the unique identifier of the file or phone number being used, and compares it against a list of known contraband files or phone numbers. If the identifier is on the list, the control packet is saved for later forensic analysis. The system is implemented using an FPGA-based embedded software application, and processes file transfers using the BitTorrent protocol and VoIP phone calls made using the Session Initiation Protocol (SIP). Results show that the final design processes peer-to-peer packets of interest 92% faster than a software-only configuration, and is able to successfully capture and process BitTorrent Handshake messages with a probability of at least 99.0% and SIP control packets with a probability of at least 97.6% under a network traffic load of at least 89.6 Mbps.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
An FPGA-Based System for Tracking Digital Information Transmitted via Peer-to-Peer Protocols
This research addresses the problem of tracking digital information that is shared using peer-to-peer file transfer and VoIP protocols for the purposes of illicitly disseminating sensitive government information and for covert communication by terrorist cells or criminal organizations. A digital forensic tool is created that searches a network for peer-to-peer control messages, extracts the unique identifier of the file or phone number being used, and compares it against a list of known contraband files or phone numbers. If the identifier is on the list, the control packet is saved for later forensic analysis. The system is implemented using an FPGA-based embedded software application, and processes file transfers using the BitTorrent protocol and VoIP phone calls made using the Session Initiation Protocol (SIP). Results show that the final design processes peer-to-peer packets of interest 92% faster than a software-only configuration, and is able to successfully capture and process BitTorrent Handshake messages with a probability of at least 99.0% and SIP control packets with a probability of at least 97.6% under a network traffic load of at least 89.6 Mbps.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Configuration Management
In Configuration Management Using Expect (Tcl/Tk), Karthik Vallamsetla presents a practical, cost-effective solution to managing large-scale server configurations. As organizations face the challenge of handling system administration tasks like environment setup, middleware installation, and transaction logging, this book proposes using Expect, a versatile scripting language that avoids the complexity and overhead of commercial configuration management tools. Karthik's approach allows system engineers to automate repetitive administrative tasks efficiently without altering existing working environments, making it ideal for day-to-day management. Through comprehensive examples and tools like "rac.tcl," the book provides readers with powerful methods for performing configuration tasks securely, offering both a deep technical dive into Expect and practical solutions to real-world problems. Whether you're a system administrator or software engineer, this guide will help you optimize configuration management workflows with minimal costs and maximum results.
Smarter Cyber Physical Systems
Cyber-Physical Systems (CPS) is featured by the tight integration of cyber and physical components. CPS has made major advances with a broad societal impact. Now in the era of Industry Revolution 4.0, CPS is considered as an enabling technology. Combined with autonomy, big data, machine learning and internet of things, CPS empowers systems with greater intelligence to address uncertainties, unknowns, attacks, and unexpected events.This book highlights the latest advances and explores the new trends in the design and implementation of smarter Cyber-Physical systems (CPS). It introduces integrated model-based and data-driven solutions for CPS that demonstrate features including both adaptability and interpretability. Key topics covered include reinforcement learning, digital twin and large-scale networks. The book then presents the latest codesign techniques that address practical computation, networking, control, and physical constraints. It examines important issues related to human CPS, safety, resilience and privacy. The chapters feature the tight integration of theory and practice, including problems motivated from applications, fundamental research development that are generally applicable, and implementation in real system applications. A wide range of CPS applications are covered, including robotics, autonomous driving, unmanned aerial vehicles and smart cities.
High-Performance Automation Methods for Computational Intelligent Systems
Computational methods are necessary for the proper execution of the applications for the benefit of society and technological development. Technological development makes life easier by constructing powerful systems with the help of computational methods. The nature of computational methods changes from time to time and retains only efficient applicable theories. Researchers take the idea of existing computational systems and advance them as per possible future needs. Efficient computational methods solve complex problems and also help to make the system more intelligent. Automation process requires decision-making computational systems. A more intelligent system contains an efficient computational method, which is described by powerful algorithm development. The aim of this book is to identify the technological development for future computational systems, which ultimately reflects the more intelligent system. Automation has become the need of the hour in today's world, and hence, the computational systems need to be upgraded to that level to perform the required tasks. The most efficient computational algorithm acts like a human being and offers a full sense of intelligent automation.This book: Presents the latest research trends for the upcoming computational intelligent systems in a comprehensive manner Focuses on the integration of multi-purpose and multi-dimension natural language into intelligent systems Elaborates on nature-inspired and intelligent behaviour-based computational methods to deal with the observation of nature Illustrates applications of quantum cellular energy-efficient computing methods for automation and applications of genetic algorithms in multidisciplinary fields Discusses aspects of intelligent automation like technology-based, architecture-based, logic implementation-based, and the different algorithms-based concepts It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.
Cybersecurity 2050
This book explores the critical intersection of human behavior, cybersecurity, and the transformative potential of quantum technologies. It delves into the vulnerabilities and resilience of human intelligence in the face of cyber threats, examining how cognitive biases, social dynamics, and mental health can be exploited in the digital age.Cybersecurity 2050: Protecting Humanity in a Hyper-Connected World explores the cutting-edge applications of quantum computing in cybersecurity, discussing the efficiency of quantum security algorithms on Earth and over space communications such as those needed to inhabit Mars. The challenges and opportunities of human life on extraterrestrial worlds, such as Mars, will further shape the evolution of human intelligence. The isolated and confined environment of a Martian habitat, coupled with the reliance on advanced technologies for survival, will demand new forms of adaptability, resilience, and social cooperation. The author addresses the imminent revolution in cybersecurity regulations and transforms the attention of the bright minds of businesses and policymakers for the challenges and opportunities of quantum advancements. This book attempts to bridge the gap between social intelligence and cybersecurity, offering a holistic and nuanced understanding of these interconnected domains. Through real-world case studies, the author provides practical insights and strategies for adapting to the evolving technological landscape and building a more secure digital future.This book is intended for futuristic minds, computer engineers, policymakers, or regulatory experts interested in the implications of the revolution of human intelligence on cybersecurity laws and regulations. It will be of interest to cybersecurity professionals and researchers looking for a historic and comprehensive understanding of the evolving landscape, including social intelligence, quantum computing, and algorithm design.
Cybersecurity 2050
This book explores the critical intersection of human behavior, cybersecurity, and the transformative potential of quantum technologies. It delves into the vulnerabilities and resilience of human intelligence in the face of cyber threats, examining how cognitive biases, social dynamics, and mental health can be exploited in the digital age.Cybersecurity 2050: Protecting Humanity in a Hyper-Connected World explores the cutting-edge applications of quantum computing in cybersecurity, discussing the efficiency of quantum security algorithms on Earth and over space communications such as those needed to inhabit Mars. The challenges and opportunities of human life on extraterrestrial worlds, such as Mars, will further shape the evolution of human intelligence. The isolated and confined environment of a Martian habitat, coupled with the reliance on advanced technologies for survival, will demand new forms of adaptability, resilience, and social cooperation. The author addresses the imminent revolution in cybersecurity regulations and transforms the attention of the bright minds of businesses and policymakers for the challenges and opportunities of quantum advancements. This book attempts to bridge the gap between social intelligence and cybersecurity, offering a holistic and nuanced understanding of these interconnected domains. Through real-world case studies, the author provides practical insights and strategies for adapting to the evolving technological landscape and building a more secure digital future.This book is intended for futuristic minds, computer engineers, policymakers, or regulatory experts interested in the implications of the revolution of human intelligence on cybersecurity laws and regulations. It will be of interest to cybersecurity professionals and researchers looking for a historic and comprehensive understanding of the evolving landscape, including social intelligence, quantum computing, and algorithm design.
Microprocessors and Microsystems
"Microprocessors and Microsystems, Volume 10" presents a compilation of research and advancements in the field of computer engineering and technology. This volume delves into the intricacies of microprocessor design, microsystem architecture, and their applications in various industries. Aimed at researchers, engineers, and students, the book provides detailed insights into the latest developments, challenges, and future directions in microprocessor and microsystem technology. Explored topics may include advancements in embedded systems, the integration of microprocessors in complex systems, and innovative solutions for enhancing performance and efficiency. This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Microprocessors and Microsystems
"Microprocessors and Microsystems, Volume 10" presents a compilation of research and advancements in the field of computer engineering and technology. This volume delves into the intricacies of microprocessor design, microsystem architecture, and their applications in various industries. Aimed at researchers, engineers, and students, the book provides detailed insights into the latest developments, challenges, and future directions in microprocessor and microsystem technology. Explored topics may include advancements in embedded systems, the integration of microprocessors in complex systems, and innovative solutions for enhancing performance and efficiency. This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Green Engineering for Optimizing Firm Performance
This book offers a detailed examination of how sustainable technologies are reshaping firm performance. Through an integration of empirical research, expert opinions, and case studies, it explores how green management practices are enhancing business outcomes and contributing to sustainable development. It offers an in-depth understanding of how green technologies and practices, such as green engineering, AI/ML applications, green HRM, and green innovation, impact firm performance. Explores topics such as green engineering, AI/ML applications, green finance, green HRM, and green innovation, showing their collective impact on business performance Presents real-world case studies and empirical findings to demonstrate how organizations across different industries have successfully implemented sustainable technologies Examines regional variations in green management practices, offering insights into the impact of economic, regulatory, and cultural contexts on sustainability initiatives Critically analyzes contemporary challenges with practical strategies for addressing issues effectively Recommends actionable policy and future research directions for sustainable business practices, providing a roadmap for advancing green management This reference book is for academicians, scholars, and practitioners who are interested in emerging technologies that are reshaping firm performance and impacting sustainability.
Engineering Swarms of Cyber-Physical Systems
Engineering Swarms for Cyber-Physical Systems covers the whole design cycle for applying swarm intelligence in Cyber-Physical Systems (CPS) and guides readers through modeling, design, simulation, and final deployment of swarm systems. The book provides a one-stop-shop covering all relevant aspects for engineering swarm systems. Following a concise introduction part on swarm intelligence and the potential of swarm systems, the book explains modeling methods for swarm systems embodied in the interplay of physical swarm agents. Examples from several domains including robotics, manufacturing, and search and rescue applications are given. In addition, swarm robotics is further covered by an analysis of available platforms, computation models and applications. It also treats design methods for cyber-physical swarm applications including swarm modeling approaches for CPSs and classical implementations of behaviors as well as approaches based on machine-learning. A chapter on simulation covers simulation requirements and addresses the dichotomy between abstract and detailed physical simulation models. A special feature of the chapters is the hands-on character by providing programming examples with the different engineering aspects whenever possible, thus allowing for fast translation of concepts to actual implementation. Overall, the book is meant to give a creative researcher or engineer the inspiration, theoretical background, and practical knowledge to build swarm systems of CPSs. It also serves as a text for students in science and engineering.
Society 5.0
The book will help the readers in the field of the Internet of Things, and especially its convergence with artificial intelligence, which has given rise to the new paradigm of artificial intelligence of things (AIoT). It covers important concepts such as intelligent space and human-centered robotics and its effect on human wellbeing, and human-centered aviation automation.This book: Supports the advancement in artificial intelligence and the Internet of Things used in societal applications. Discusses the role of modeling human factors in designing smart systems as highlighted in Industry 4.0. Covers big data scheduling and the global standard method applied to smart maintenance. Presents human-centered aviation automation, human-centered processes, and decision support systems. Highlights the importance of data privacy and secure communication in society 5.0. The text is primarily written for senior undergraduate, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.
Characterization and Implementation of a Real-World Target Tracking Algorithm on Field Programmable Gate Arrays With Kalman Filter Test Case
A one dimensional Kalman Filter algorithm provided in Matlab is used as the basis for a Very High Speed Integrated Circuit Hardware Description Language (VHDL) model. The JAVA programming language is used to create the VHDL code that describes the Kalman filter in hardware which allows for maximum flexibility. A one-dimensional behavioral model of the Kalman Filter is described, as well as a onedimensional and synthesizable register transfer level (RTL) model with optimizations for speed, area, and power. These optimizations are achieved by a focus on parallelization as well as careful Kalman filter sub-module algorithm selection. Newton-Raphson reciprocal is the chosen algorithm for a fundamental aspect of the Kalman filter, which allows efficient high-speed computation of reciprocals within the overall system. The Newton-Raphson method is also expanded for use in calculating square-roots in an optimized and synthesizable twodimensional VHDL implementation of the Kalman filter. The two-dimensional Kalman filter expands on the one-dimensional implementation allowing for the tracking of targets on a real-world Cartesian coordinate system.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
A Low Power Application-Specific Integrated Circuit (ASIC) Implementation of Wavelet Transform/Inverse Transform
A unique ASIC was designed implementing the Haar Wavelet transform for image compression/decompression. ASIC operations include performing the Haar wavelet transform on a 512 by 512 square pixel image, preparing the image for transmission by quantizing and thresholding the transformed data, and performing the inverse Haar wavelet transform, returning the original image with only minor degradation. The ASIC is based on an existing four-chip FPGA implementation. Implementing the design using a dedicated ASIC enhances the speed, decreases chip count to a single die, and uses significantly less power compared to the FPGA implementation. A reduction of RAM accesses was realized and a tradeoff between states and duplication of components for parallel operation were key to the performance gains. Almost half of the external RAM accesses were removed from the FPGA design by incorporating an internal register file. This reduction reduced the number of states needed to process an image increasing the image frame rate by 13% and decreased I/O traffic on the bus by 47%. Adding control lines to the ALU components, thus eliminating unnecessary switching of combination logic blocks, further reduced power requirements. The 22 mm2 ASIC consumes an estimated 430 mW of power when operating at the maximum frequency of 17 MHz.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Implementation and Optimization of the Advanced Encryption Standard Algorithm on an 8-Bit Field Programmable Gate Array Hardware Platform
The contribution of this research is three-fold. The first is a method of converting the area occupied by a circuit implemented on a Field Programmable Gate Array (FPGA) to an equivalent (memory included) as a measure of total gate count. This allows direct comparison between two FPGA implementations independent of the manufacturer or chip family. The second contribution improves the performance of the Advanced Encryption Standard (AES) on an 8-bit computing platform. This research develops an AES design that occupies less than three quarters of the area reported by the smallest design in current literature as well as significantly increases area efficiency. The third contribution of this research is an examination of how various designs for the critical AES SubBytes and MixColumns transformations interact and affect the overall performance of AES. The transformations responsible for the largest variance in performance are identified and the effect is measured in terms of throughput, area efficiency, and area occupied.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Performance Evaluation of a Field Programmable Gate Array-based System for Detecting and Tracking Peer-to-peer Protocols on a Gigabit Ethernet Network
The TRacking and Analysis for Peer-to-Peer 2 (TRAPP-2) system is developed on a Xilinx ML510 FPGA. The goals of this research are to evaluate the performance of the TRAPP-2 system as a solution to detect and track malicious packets traversing a gigabit Ethernet network. The TRAPP-2 system detects a BitTorrent, Session Initiation Protocol (SIP), or Domain Name System (DNS) packet, extracts the payload, compares the data against a hash list, and if the packet is suspicious, logs the entire packet for future analysis. Results show that the TRAPP-2 system captures 95.56% of BitTorrent, 20.78% of SIP INVITE, 37.11% of SIP BYE, and 91.89% of DNS packets of interest while under a 93.7% network utilization (937 Mbps). For another experiment, the contraband hash list size is increased from 1,000 to 131,072,000 unique items. The experiment reveals that each doubling of the hash list size results in a mean increase of approximately 16 central processing unit cycles. These results demonstrate the TRAPP-2 system's ability to detect traffic of interest under a saturated network utilization while maintaining large contraband hash lists.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Fault and Defect Tolerant Computer Architectures
As conventional silicon Complementary Metal-Oxide-Semiconductor (CMOS) technology continues to shrink, logic circuits are increasingly subject to errors in- duced by electrical noise and cosmic radiation. In addition, the smaller devices are more likely to degrade and fail in operation. In the long term, new device technolo- gies such as quantum cellular automata and molecular crossbars may replace silicon CMOS, but they have significant reliability problems. Rather than requiring the cir- cuit to be defect-free, fault tolerance techniques incorporated into an architecture allow continued system operation in the presence of faulty components. This research addresses construction of a reliable computer from unreliable de- vice technologies. A system architecture is developed for a "fault and defect tolerant" (FDT) computer. Trade-offs between different techniques are studied, and the yield of the system is modelled. Yield and hardware cost models are developed for the fault tolerance techniques used in the architecture. Fault and defect tolerant designs are created for the processor, and its most critical component, the cache memory.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
CMOS VLSI Layout and Verification of a SIMD Computer
A CMOS VLSI layout and verification of a 3 x 3 processor parallel computer has been completed. The layout was done using the MAGIC tool and the verification using HSPICE. Suggestions for expanding the computer into a million processor network are presented. Many problems that might be encountered when implementing a massively parallel computer are discussed.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
A Low Power Application-Specific Integrated Circuit (ASIC) Implementation of Wavelet Transform/Inverse Transform
A unique ASIC was designed implementing the Haar Wavelet transform for image compression/decompression. ASIC operations include performing the Haar wavelet transform on a 512 by 512 square pixel image, preparing the image for transmission by quantizing and thresholding the transformed data, and performing the inverse Haar wavelet transform, returning the original image with only minor degradation. The ASIC is based on an existing four-chip FPGA implementation. Implementing the design using a dedicated ASIC enhances the speed, decreases chip count to a single die, and uses significantly less power compared to the FPGA implementation. A reduction of RAM accesses was realized and a tradeoff between states and duplication of components for parallel operation were key to the performance gains. Almost half of the external RAM accesses were removed from the FPGA design by incorporating an internal register file. This reduction reduced the number of states needed to process an image increasing the image frame rate by 13% and decreased I/O traffic on the bus by 47%. Adding control lines to the ALU components, thus eliminating unnecessary switching of combination logic blocks, further reduced power requirements. The 22 mm2 ASIC consumes an estimated 430 mW of power when operating at the maximum frequency of 17 MHz.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Characterization and Implementation of a Real-World Target Tracking Algorithm on Field Programmable Gate Arrays With Kalman Filter Test Case
A one dimensional Kalman Filter algorithm provided in Matlab is used as the basis for a Very High Speed Integrated Circuit Hardware Description Language (VHDL) model. The JAVA programming language is used to create the VHDL code that describes the Kalman filter in hardware which allows for maximum flexibility. A one-dimensional behavioral model of the Kalman Filter is described, as well as a onedimensional and synthesizable register transfer level (RTL) model with optimizations for speed, area, and power. These optimizations are achieved by a focus on parallelization as well as careful Kalman filter sub-module algorithm selection. Newton-Raphson reciprocal is the chosen algorithm for a fundamental aspect of the Kalman filter, which allows efficient high-speed computation of reciprocals within the overall system. The Newton-Raphson method is also expanded for use in calculating square-roots in an optimized and synthesizable twodimensional VHDL implementation of the Kalman filter. The two-dimensional Kalman filter expands on the one-dimensional implementation allowing for the tracking of targets on a real-world Cartesian coordinate system.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Performance Evaluation of a Field Programmable Gate Array-based System for Detecting and Tracking Peer-to-peer Protocols on a Gigabit Ethernet Network
The TRacking and Analysis for Peer-to-Peer 2 (TRAPP-2) system is developed on a Xilinx ML510 FPGA. The goals of this research are to evaluate the performance of the TRAPP-2 system as a solution to detect and track malicious packets traversing a gigabit Ethernet network. The TRAPP-2 system detects a BitTorrent, Session Initiation Protocol (SIP), or Domain Name System (DNS) packet, extracts the payload, compares the data against a hash list, and if the packet is suspicious, logs the entire packet for future analysis. Results show that the TRAPP-2 system captures 95.56% of BitTorrent, 20.78% of SIP INVITE, 37.11% of SIP BYE, and 91.89% of DNS packets of interest while under a 93.7% network utilization (937 Mbps). For another experiment, the contraband hash list size is increased from 1,000 to 131,072,000 unique items. The experiment reveals that each doubling of the hash list size results in a mean increase of approximately 16 central processing unit cycles. These results demonstrate the TRAPP-2 system's ability to detect traffic of interest under a saturated network utilization while maintaining large contraband hash lists.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Anti-Tamper Method for Field Programmable Gate Arrays Through Dynamic Reconfiguration and Decoy Circuits
As Field Programmable Gate Arrays (FPGAs) become more widely used, security concerns have been raised regarding FPGA use for cryptographic, sensitive, or proprietary data. Storing or implementing proprietary code and designs on FPGAs could result in compromise of sensitive information if the FPGA device was physically relinquished or remotely accessible to adversaries seeking to obtain the information. Although multiple defensive measures have been implemented (and overcome), the possibility exists to create a secure design through the implementation of polymorphic Dynamically Reconfigurable FPGA (DRFPGA) circuits. Using polymorphic DRFPGAs removes the static attributes from their design; thus, substantially increasing the difficulty of successful adversarial reverse-engineering attacks. A variety of dynamically reconfigurable methodologies exist for implementations that challenge designers in the reconfigurable technology field. A Hardware Description Language (HDL) DRFPGA model is presented for use in security applications. The Very High Speed Integrated Circuit HDL(VHSIC)language was chosen to take advantage of its capabilities, which are well suited to the current research. Additionally, algorithms that explicitly support granular autonomous reconfiguration have been developed and implemented on the DRFPGA as a means of protecting its designs. Documented testing validated the reconfiguration results, compared original FPGA and DRFPGA, security, power usage, and area estimates.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Trajectory Ontology Inference Considering Domain, Temporal and Spatial Dimensions
I am Rouaa Wannous, a researcher teacher at La Rochelle University since 2022. I teach various modules: database and object-oriented programming and semantic web. I previously held a postdoctoral research position in the L3i laboratory at the University of La Rochelle in 2016 in the TourInFlux project. In this project, we proposed ontology for tourism data and spatio-temporal enrichment and we provide semantic reasoning for managing tourism data and to integrate knowledge about tourism mobile object behaviors. In before, I prepared the PhD in Computer Science carried out at L3i in La Rochelle in 2014 in collaboration with LIENSs in La Rochelle. Thesis defended under the supervision of Professors Alain Bouju and Jamal Malki; dealing with reasoning on the ontology of trajectories, taking into account thematic, temporal and spatial aspects on Geographic Information Systems. I have analyzed mobile object trajectory data and processed and visualized them. During my thesis, I led to 2 International Journals, 7 International Conferences and 2 Oral Communications. In 2011, my Master's degree in Grenoble was an International Master's in Artificial Intelligence and the Web. This was followed by a 6-month internship at INRIA, supervised by J矇r繫me Euzenat and Cassia Trojahn, on the subject of explaining the reasoning behind the argumentation process for ontology alignment to help understand the Matching results. I'd like to point out that after obtaining my degree in Computer Engineering, I was a research engineer at the University of Damascus-Syria for three years. I'm interested in new technologies, and would be able to contribute to the development of the business and gradually take charge of projects independently. I'm dynamic, autonomous and have good communication skills.
Essential Principles of Hardware Implementation in Artificial Intelligence
This book addresses and illustrates the effectiveness of the essential principles of a hardware implementation of an artificial intelligence real-time system for making changes in the production of large-scale products available through multi-input and multi-output platforms. The objective is not only to know about the predictable product but also to provide the right solutions to the expert experience industry. These solutions are supported by advanced technology applications with high ratings, instilling confidence in their quality and effectiveness. On the other hand, artificial intelligence techniques have calculated the overall process and predicted higher approximation rates before production.
Estimating Cognitive Function Using Spontaneous Speech in Older People Living in the Community
This thesis presents a novel approach to cognitive function estimation using spontaneous speech, focusing on community-dwelling individuals. By analyzing speech data from older adults and applying advanced natural language processing and machine learning techniques, the study develops a method to differentiate between healthy individuals, those with mild cognitive impairment (MCI), and those with dementia. The research explores the psychological burden of using an AI agent as an evaluator, offering promising insights into its effectiveness as a tool for early detection and intervention in cognitive decline. The findings highlight the potential for AI-driven solutions to enhance cognitive assessment and support clinical decisions, marking a significant step towards integrating AI in healthcare.
