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| asu computer systems engineering: Advancing Diversity, Inclusion, and Social Justice Through Human Systems Engineering Rod D. Roscoe, Erin K. Chiou, Abigail R. Wooldridge, 2019-11-14 Advancing Diversity, Inclusion, and Social Justice through Human Systems Engineering highlights how scholars and practitioners of HSE (inclusively defined to span many fields) can apply their theories and methods to understand and support healthy communities, include and empower diverse populations, and inspire strategies for a more inclusive future. This volume brings together experts from human factors, ergonomics, psychology, human-computer interaction, and more to demonstrate how these fields can be applied to societal challenges and solutions. Through a blend of research reports, literature reviews, and personal narratives, this volume explores these issues from the individual to the global scale, across diverse populations, and across multiple continents. Features Draws upon human factors and ergonomics theories and methods to evaluate, understand, and confront systemic threats to inclusion and social justice Offers actionable methodologies, strategies, and recommendations for conducting human-centered research, design, and training with marginalized or vulnerable populations Offers a venue for reporting and reconsidering the work of human factors and ergonomics from the perspectives of diversity, inclusion, and social justice |
| asu computer systems engineering: Computer Science Handbook Allen B. Tucker, 2004-06-28 When you think about how far and fast computer science has progressed in recent years, it's not hard to conclude that a seven-year old handbook may fall a little short of the kind of reference today's computer scientists, software engineers, and IT professionals need. With a broadened scope, more emphasis on applied computing, and more than 70 chap |
| asu computer systems engineering: Beginning Programming Adrian Kingsley-Hughes, Kathie Kingsley-Hughes, 2005-03-25 Programming allows developers to create a sequence of instructions that enable computers to perform certain functions and tasks Offering the basic best practices and skills for novice programmers, this book helps readers gain new skills for writing programs and developing applications Teaches programming using C++ and explores scripting with JavaScript and VBScript, which are all free and don't require the reader to purchase any software Includes programming projects and real-world code examples that can be modified and expanded upon |
| asu computer systems engineering: Constructing a Bridge Eda Kranakis, 1997 A historical look at styles of technological research and design. If it is true, as Tocqueville suggested, that social and class systems shape technology, research, and knowledge, then the effects should be visible both at the individual level and at the level of technical institutions and local environments. That is the central issue addressed in Constructing a Bridge, a tale of two cultures that investigates how national traditions shape technological communities and their institutions and become embedded in everyday engineering practice. Eda Kranakis first examines these issues in the work of two suspension bridge designers of the early nineteenth century: the American inventor James Finley and the French engineer Claude-Louis-Marie-Henri Navier. Finley--who was oriented toward the needs of rural, frontier communities--designed a bridge that could be easily reproduced and constructed by carpenters and blacksmiths. Navier--whose professional training and career reflected a tradition of monumental architecture and had linked him closely to the Parisian scientific community--designed an elegant, costly, and technically sophisticated structure to be built in an elite district of Paris. Charting the careers of these two technologists and tracing the stories of their bridges, Kranakis reveals how local environments can shape design goals, research practices, and design-to-construction processes. Kranakis then offers a broader look at the technological communities and institutions of nineteenth-century France and America and at their ties to technological practice. She shows how conditions that led to Finley's and Navier's distinct designs also fostered different systems of technical education as well as distinct ideologies and traditions of engineering research.The result of this two-tiered, comparative approach is a reorientation of a historiographic tradition initiated by Tocqueville (and explored more recently by Eugene Ferguson, John Kasson, and others) toward a finer-grained analysis of institutional and local environments as mediators between national traditions and individual styles of technological research and design. |
| asu computer systems engineering: Social Media Mining Reza Zafarani, Mohammad Ali Abbasi, Huan Liu, 2014-04-28 Integrates social media, social network analysis, and data mining to provide an understanding of the potentials of social media mining. |
| asu computer systems engineering: The Hutchinson Dictionary of Computing and the Internet Helicon Publishing, 2007 |
| asu computer systems engineering: Generalized Linear Models Raymond H. Myers, Douglas C. Montgomery, G. Geoffrey Vining, Timothy J. Robinson, 2012-01-20 Praise for the First Edition The obvious enthusiasm of Myers, Montgomery, and Vining and their reliance on their many examples as a major focus of their pedagogy make Generalized Linear Models a joy to read. Every statistician working in any area of applied science should buy it and experience the excitement of these new approaches to familiar activities. —Technometrics Generalized Linear Models: With Applications in Engineering and the Sciences, Second Edition continues to provide a clear introduction to the theoretical foundations and key applications of generalized linear models (GLMs). Maintaining the same nontechnical approach as its predecessor, this update has been thoroughly extended to include the latest developments, relevant computational approaches, and modern examples from the fields of engineering and physical sciences. This new edition maintains its accessible approach to the topic by reviewing the various types of problems that support the use of GLMs and providing an overview of the basic, related concepts such as multiple linear regression, nonlinear regression, least squares, and the maximum likelihood estimation procedure. Incorporating the latest developments, new features of this Second Edition include: A new chapter on random effects and designs for GLMs A thoroughly revised chapter on logistic and Poisson regression, now with additional results on goodness of fit testing, nominal and ordinal responses, and overdispersion A new emphasis on GLM design, with added sections on designs for regression models and optimal designs for nonlinear regression models Expanded discussion of weighted least squares, including examples that illustrate how to estimate the weights Illustrations of R code to perform GLM analysis The authors demonstrate the diverse applications of GLMs through numerous examples, from classical applications in the fields of biology and biopharmaceuticals to more modern examples related to engineering and quality assurance. The Second Edition has been designed to demonstrate the growing computational nature of GLMs, as SAS®, Minitab®, JMP®, and R software packages are used throughout the book to demonstrate fitting and analysis of generalized linear models, perform inference, and conduct diagnostic checking. Numerous figures and screen shots illustrating computer output are provided, and a related FTP site houses supplementary material, including computer commands and additional data sets. Generalized Linear Models, Second Edition is an excellent book for courses on regression analysis and regression modeling at the upper-undergraduate and graduate level. It also serves as a valuable reference for engineers, scientists, and statisticians who must understand and apply GLMs in their work. |
| asu computer systems engineering: Convolutional Neural Networks in Visual Computing Ragav Venkatesan, Baoxin Li, 2017-10-23 This book covers the fundamentals in designing and deploying techniques using deep architectures. It is intended to serve as a beginner's guide to engineers or students who want to have a quick start on learning and/or building deep learning systems. This book provides a good theoretical and practical understanding and a complete toolkit of basic information and knowledge required to understand and build convolutional neural networks (CNN) from scratch. The book focuses explicitly on convolutional neural networks, filtering out other material that co-occur in many deep learning books on CNN topics. |
| asu computer systems engineering: Introduction to Programming Languages Yinong Chen, Wei-Tek Tsai, 2014-05 |
| asu computer systems engineering: Conformal Geometry Miao Jin, Xianfeng Gu, Ying He, Yalin Wang, 2018-04-10 This book offers an essential overview of computational conformal geometry applied to fundamental problems in specific engineering fields. It introduces readers to conformal geometry theory and discusses implementation issues from an engineering perspective. The respective chapters explore fundamental problems in specific fields of application, and detail how computational conformal geometric methods can be used to solve them in a theoretically elegant and computationally efficient way. The fields covered include computer graphics, computer vision, geometric modeling, medical imaging, and wireless sensor networks. Each chapter concludes with a summary of the material covered and suggestions for further reading, and numerous illustrations and computational algorithms complement the text. The book draws on courses given by the authors at the University of Louisiana at Lafayette, the State University of New York at Stony Brook, and Tsinghua University, and will be of interest to senior undergraduates, graduates and researchers in computer science, applied mathematics, and engineering. |
| asu computer systems engineering: Foundations of Engineering Geology A.C. Waltham, Tony Waltham, 2018-10-08 Now in full colour, the third edition of this well established book provides a readable and highly illustrated overview of the aspects of geology that are most significant to civil engineers. Sections in the book include those devoted to the main rock types, weathering, ground investigation, rock mass strength, failures of old mines, subsidence on peats and clays, sinkholes on limestone and chalk, water in landslides, slope stabilization and understanding ground conditions. The roles of both natural and man-induced processes are assessed, and this understanding is developed into an appreciation of the geological environments potentially hazardous to civil engineering and construction projects. For each style of difficult ground, available techniques of site investigation and remediation are reviewed and evaluated. Each topic is presented as a double page spread with a careful mix of text and diagrams, with tabulated reference material on parameters such as bearing strength of soils and rocks. This new edition has been comprehensively updated and covers the entire spectrum of topics of interest for both students and practitioners in the field of civil engineering. |
| asu computer systems engineering: Unreal Game Development Ashish Amresh, Alex Okita, 2010-08-03 Using Unreal Engine 3, the authors teach aspiring game makers the fundamentals of designing a computer game. The only prerequisite is a basic working knowledge of computers and a desire to build an original game.This book mirrors the curriculum used at CampGame, a six week summer program organized for high school students at The New York University and Arizona State University. Students enter with no prior knowledge of game making, and through the course of six intensive weeks, they finish as teams of budding game developers. |
| asu computer systems engineering: Tactile Internet Frank H. P. Fitzek, Shu-Chen Li, Stefanie Speidel, Thorsten Strufe, Meryem Simsek, Martin Reisslein, 2021-03-06 Tactile Internet with Human-in-the-Loop describes the change from the current Internet, which focuses on the democratization of information independent of location or time, to the Tactile Internet, which democratizes skills to promote equity that is independent of age, gender, sociocultural background or physical limitations. The book promotes the concept of the Tactile Internet for remote closed-loop human-machine interaction and describes the main challenges and key technologies. Current standardization activities in the field for IEEE and IETF are also described, making this book an ideal resource for researchers, graduate students, and industry R&D engineers in communications engineering, electronic engineering, and computer engineering. - Provides a comprehensive reference that addresses all aspects of the Tactile Internet – technologies, engineering challenges, use cases and standards - Written by leading researchers in the field - Presents current standardizations surrounding the IETF and the IEEE - Contains use cases that illustrate practical applications |
| asu computer systems engineering: Data Classification Charu C. Aggarwal, 2014-07-25 Comprehensive Coverage of the Entire Area of ClassificationResearch on the problem of classification tends to be fragmented across such areas as pattern recognition, database, data mining, and machine learning. Addressing the work of these different communities in a unified way, Data Classification: Algorithms and Applications explores the underlyi |
| asu computer systems engineering: Service-Oriented Computing and System Integration Yinong Chen, 2021-07-13 |
| asu computer systems engineering: Feature Engineering for Machine Learning and Data Analytics Guozhu Dong, Huan Liu, 2018-03-14 Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. Little can be achieved if there are few features to represent the underlying data objects, and the quality of results of those algorithms largely depends on the quality of the available features. Feature Engineering for Machine Learning and Data Analytics provides a comprehensive introduction to feature engineering, including feature generation, feature extraction, feature transformation, feature selection, and feature analysis and evaluation. The book presents key concepts, methods, examples, and applications, as well as chapters on feature engineering for major data types such as texts, images, sequences, time series, graphs, streaming data, software engineering data, Twitter data, and social media data. It also contains generic feature generation approaches, as well as methods for generating tried-and-tested, hand-crafted, domain-specific features. The first chapter defines the concepts of features and feature engineering, offers an overview of the book, and provides pointers to topics not covered in this book. The next six chapters are devoted to feature engineering, including feature generation for specific data types. The subsequent four chapters cover generic approaches for feature engineering, namely feature selection, feature transformation based feature engineering, deep learning based feature engineering, and pattern based feature generation and engineering. The last three chapters discuss feature engineering for social bot detection, software management, and Twitter-based applications respectively. This book can be used as a reference for data analysts, big data scientists, data preprocessing workers, project managers, project developers, prediction modelers, professors, researchers, graduate students, and upper level undergraduate students. It can also be used as the primary text for courses on feature engineering, or as a supplement for courses on machine learning, data mining, and big data analytics. |
| asu computer systems engineering: Human-Automation Interaction Mustapha Mouloua, Jefferson M. Koonce, 1997-02 Research and development in the field of man-machine systems has evolved tremendously in the last 20 years. For almost every man-machine system, whether in the aviation industry, medical systems, industrial process control, or just for use in leisure activities or the home environment, it is possible to see many automated systems and devices that have replaced the human component as a key element. The fast evolution in computer technology has transformed the course of our daily lives by making these technological innovations a viable option on which to rely. These varied technological advances have reduced the burden of excessive physical and cognitive demands imposed upon human operators. However, they have also resulted in several behavior related problems such as a loss in situation awareness, increased mental workload, monitoring inefficiency, and inability to revert to manual control under systems malfunction. Covering a wide variety of human factors issues across several domains of application, this volume represents a snapshot of a series of experimental and investigative studies concerned with the impact of automation technology on human performance. The topics addressed deal with both theoretical and applied issues. Although more emphasis was placed on the aviation industry, several other human-machine systems where automation technology is implemented are also represented. This book enables students, scientists, and researchers from a variety of fields such as academia, government, and industry to achieve the following: * review and update their basic and applied knowledge in several domains where automation technology is implemented; * review and evaluate recent empirical studies on automation and human performance across several domains; * address training issues and guidelines for the design of intelligent, hybrid human-machine systems; and * discuss future trends in automation research applicable to the 21st century. |
| asu computer systems engineering: Wearable Exoskeleton Systems Shaoping Bai, Gurvinder Singh Virk, Thomas Sugar, 2018-03-16 Wearable exoskeletons are electro-mechanical systems designed to assist, augment, or enhance motion and mobility in a variety of human motion applications and scenarios. The applications, ranging from providing power supplementation to assist the wearers to situations where human motion is resisted for exercising applications, cover a wide range of domains such as medical devices for patient rehabilitation training recovering from trauma, movement aids for disabled persons, personal care robots for providing daily living assistance, and reduction of physical burden in industrial and military applications. The development of effective and affordable wearable exoskeletons poses several design, control and modelling challenges to researchers and manufacturers. Novel technologies are therefore being developed in adaptive motion controllers, human-robot interaction control, biological sensors and actuators, materials and structures, etc. |
| asu computer systems engineering: True Genius Vicki Daitch, Lillian Hoddeson, 2002-10-28 What is genius? Define it. Now think of scientists who embody the concept of genius. Does the name John Bardeen spring to mind? Indeed, have you ever heard of him? Like so much in modern life, immediate name recognition often rests on a cult of personality. We know Einstein, for example, not just for his tremendous contributions to science, but also because he was a character, who loved to mug for the camera. And our continuing fascination with Richard Feynman is not exclusively based on his body of work; it is in large measure tied to his flamboyant nature and offbeat sense of humor. These men, and their outsize personalities, have come to erroneously symbolize the true nature of genius and creativity. We picture them born brilliant, instantly larger than life. But is that an accurate picture of genius? What of others who are equal in stature to these icons of science, but whom history has awarded only a nod because they did not readily engage the public? Could a person qualify as a bona fide genius if he was a regular Joe? The answer may rest in the story of John Bardeen. John Bardeen was the first person to have been awarded two Nobel Prizes in the same field. He shared one with William Shockley and Walter Brattain for the invention of the transistor. But it was the charismatic Shockley who garnered all the attention, primarily for his Hollywood ways and notorious views on race and intelligence. Bardeen's second Nobel Prize was awarded for the development of a theory of superconductivity, a feat that had eluded the best efforts of leading theorists-including Albert Einstein, Neils Bohr, Werner Heisenberg, and Richard Feynman. Arguably, Bardeen's work changed the world in more ways than that of any other scientific genius of his time. Yet while every school child knows of Einstein, few people have heard of John Bardeen. Why is this the case? Perhaps because Bardeen differs radically from the popular stereotype of genius. He was a modest, mumbling Midwesterner, an ordinary person who worked hard and had a knack for physics and mathematics. He liked to picnic with his family, collaborate quietly with colleagues, or play a round of golf. None of that was newsworthy, so the media, and consequently the public, ignored him. John Bardeen simply fits a new profile of genius. Through an exploration of his science as well as his life, a fresh and thoroughly engaging portrait of genius and the nature of creativity emerges. This perspective will have readers looking anew at what it truly means to be a genius. |
| asu computer systems engineering: 12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering , 2015-07-14 25th European Symposium on Computer-Aided Process Engineering contains the papers presented at the 12th Process Systems Engineering (PSE) and 25th European Society of Computer Aided Process Engineering (ESCAPE) Joint Event held in Copenhagen, Denmark, 31 May - 4 June 2015. The purpose of these series is to bring together the international community of researchers and engineers who are interested in computing-based methods in process engineering. This conference highlights the contributions of the PSE/CAPE community towards the sustainability of modern society. Contributors from academia and industry establish the core products of PSE/CAPE, define the new and changing scope of our results, and future challenges. Plenary and keynote lectures discuss real-world challenges (globalization, energy, environment, and health) and contribute to discussions on the widening scope of PSE/CAPE versus the consolidation of the core topics of PSE/CAPE. - Highlights how the Process Systems Engineering/Computer-Aided Process Engineering community contributes to the sustainability of modern society - Presents findings and discussions from both the 12th Process Systems Engineering (PSE) and 25th European Society of Computer-Aided Process Engineering (ESCAPE) Events - Establishes the core products of Process Systems Engineering/Computer Aided Process Engineering - Defines the future challenges of the Process Systems Engineering/Computer Aided Process Engineering community |
| asu computer systems engineering: Systems Engineering in Context Stephen Adams, Peter A. Beling, James H. Lambert, William T. Scherer, Cody H. Fleming, 2019-06-21 This volume chronicles the 16th Annual Conference on System Engineering Research (CSER) held on May 8-9, 2018 at the University of Virginia, Charlottesville, Virginia, USA. The CSER offers researchers in academia, industry, and government a common forum to present, discuss, and influence systems engineering research. It provides access to forward‐looking research from across the globe, by renowned academicians as well as perspectives from senior industry and government representatives. Co‐founded by the University of Southern California and Stevens Institute of Technology in 2003, CSER has become the preeminent event for researchers in systems engineering across the globe. Topics include though are not limited to the following: Systems in context: · Formative methods: requirements · Integration, deployment, assurance · Human Factors · Safety and Security Decisions/ Control & Design; Systems Modeling: · Optimization, Multiple Objectives, Synthesis · Risk and resiliency · Collaborative autonomy · Coordination and distributed decision-making Prediction: · Prescriptive modeling; state estimation · Stochastic approximation, stochastic optimization and control Integrative Data engineering: · Sensor Management · Design of Experiments |
| asu computer systems engineering: Software Engineering and Computer Systems, Part II Jasni Mohamad Zain, Wan Maseri Wan Mohd, Eyas El-Qawasmeh, 2011-06-28 This Three-Volume-Set constitutes the refereed proceedings of the Second International Conference on Software Engineering and Computer Systems, ICSECS 2011, held in Kuantan, Malaysia, in June 2011. The 190 revised full papers presented together with invited papers in the three volumes were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on software engineering; network; bioinformatics and e-health; biometrics technologies; Web engineering; neural network; parallel and distributed e-learning; ontology; image processing; information and data management; engineering; software security; graphics and multimedia; databases; algorithms; signal processing; software design/testing; e- technology; ad hoc networks; social networks; software process modeling; miscellaneous topics in software engineering and computer systems. |
| asu computer systems engineering: Rollout, Policy Iteration, and Distributed Reinforcement Learning Dimitri Bertsekas, 2021-08-20 The purpose of this book is to develop in greater depth some of the methods from the author's Reinforcement Learning and Optimal Control recently published textbook (Athena Scientific, 2019). In particular, we present new research, relating to systems involving multiple agents, partitioned architectures, and distributed asynchronous computation. We pay special attention to the contexts of dynamic programming/policy iteration and control theory/model predictive control. We also discuss in some detail the application of the methodology to challenging discrete/combinatorial optimization problems, such as routing, scheduling, assignment, and mixed integer programming, including the use of neural network approximations within these contexts. The book focuses on the fundamental idea of policy iteration, i.e., start from some policy, and successively generate one or more improved policies. If just one improved policy is generated, this is called rollout, which, based on broad and consistent computational experience, appears to be one of the most versatile and reliable of all reinforcement learning methods. In this book, rollout algorithms are developed for both discrete deterministic and stochastic DP problems, and the development of distributed implementations in both multiagent and multiprocessor settings, aiming to take advantage of parallelism. Approximate policy iteration is more ambitious than rollout, but it is a strictly off-line method, and it is generally far more computationally intensive. This motivates the use of parallel and distributed computation. One of the purposes of the monograph is to discuss distributed (possibly asynchronous) methods that relate to rollout and policy iteration, both in the context of an exact and an approximate implementation involving neural networks or other approximation architectures. Much of the new research is inspired by the remarkable AlphaZero chess program, where policy iteration, value and policy networks, approximate lookahead minimization, and parallel computation all play an important role. |
| asu computer systems engineering: Web Information Systems Engineering - WISE 2005 Anne H.H. Ngu, 2005-11-04 This book constitutes the proceedings of the 6th International Conference on Web Information Systems Engineering, WISE 2005, held in New York, NY, USA, in November 2005. The 30 revised full papers and 20 revised short papers presented together with 18 poster papers were carefully reviewed and selected from 259 submissions. The papers are organized in topical sections on Web mining, Web information retrieval, metadata management, ontology and semantic Web, XML, Web service method, Web service structure, collaborative methodology, P2P, ubiquitous and mobile, document retrieval applications, Web services and e-commerce, recommendation and Web information extraction, P2P, grid and distributed management, and advanced issues. The presentation is rounded off by 14 industrial papers and the abstracts of 4 tutorial sessions. |
| asu computer systems engineering: Machine Learning for Planetary Science Joern Helbert, Mario D'Amore, Michael Aye, Hannah Kerner, 2022-03-22 Machine Learning for Planetary Science presents planetary scientists with a way to introduce machine learning into the research workflow as increasingly large nonlinear datasets are acquired from planetary exploration missions. The book explores research that leverages machine learning methods to enhance our scientific understanding of planetary data and serves as a guide for selecting the right methods and tools for solving a variety of everyday problems in planetary science using machine learning. Illustrating ways to employ machine learning in practice with case studies, the book is clearly organized into four parts to provide thorough context and easy navigation. The book covers a range of issues, from data analysis on the ground to data analysis onboard a spacecraft, and from prioritization of novel or interesting observations to enhanced missions planning. This book is therefore a key resource for planetary scientists working in data analysis, missions planning, and scientific observation. - Includes links to a code repository for sharing codes and examples, some of which include executable Jupyter notebook files that can serve as tutorials - Presents methods applicable to everyday problems faced by planetary scientists and sufficient for analyzing large datasets - Serves as a guide for selecting the right method and tools for applying machine learning to particular analysis problems - Utilizes case studies to illustrate how machine learning methods can be employed in practice |
| asu computer systems engineering: Women in Cybersecurity Jane LeClair, Denise Pheils, 2016-07-11 Provides a basic overview of the employment status of women in the cybersecurity field. |
| asu computer systems engineering: Value-based Learning Healthcare Systems Bernard P. Zeigler, Mamadou K. Traore, Grégory Zacharewicz, Raphaël Duboz, 2018-11-15 Achieving value-based healthcare, increasing quality, reducing cost, and spreading access, has proven to be extremely challenging, in part due to research that is siloed and largely focused on singular risk factors, ineffective care coordination resulting from service fragmentation, and costly unintended consequences of reform that have emerged due to the complexity of healthcare systems. Understanding the behaviour of the overall system is becoming a major concern among healthcare managers and decision-makers intent on increasing value for their systems. |
| asu computer systems engineering: Attribute-Based Encryption and Access Control Dijiang Huang, Qiuxiang Dong, Yan Zhu, 2020-02-25 This book covers a broader scope of Attribute-Based Encryption (ABE), from the background knowledge, to specific constructions, theoretic proofs, and applications. The goal is to provide in-depth knowledge usable for college students and researchers who want to have a comprehensive understanding of ABE schemes and novel ABE-enabled research and applications. The specific focus is to present the development of using new ABE features such as group-based access, ID-based revocation, and attributes management functions such as delegation, federation, and interoperability. These new capabilities can build a new ABE-based Attribute-Based Access Control (ABAC) solution that can incorporate data access policies and control into ciphertext. This book is also ideal for IT companies to provide them with the most recent technologies and research on how to implement data access control models for mobile and data-centric applications, where data access control does not need to rely on a fixed access control infrastructure. It’s also of interested to those working in security, to enable them to have the most recent developments in data access control such as ICN and Blockchain technologies. Features Covers cryptographic background knowledge for ABE and ABAC Features various ABE constructions to achieve integrated access control capabilities Offers a comprehensive coverage of ABE-based ABAC Provides ABE applications with real-world examples Advances the ABE research to support new mobile and data-centric applications |
| asu computer systems engineering: Convolutional Neural Networks in Visual Computing Ragav Venkatesan, Baoxin Li, 2017-10-23 This book covers the fundamentals in designing and deploying techniques using deep architectures. It is intended to serve as a beginner's guide to engineers or students who want to have a quick start on learning and/or building deep learning systems. This book provides a good theoretical and practical understanding and a complete toolkit of basic information and knowledge required to understand and build convolutional neural networks (CNN) from scratch. The book focuses explicitly on convolutional neural networks, filtering out other material that co-occur in many deep learning books on CNN topics. |
| asu computer systems engineering: E-Healthcare Systems and Wireless Communications: Current and Future Challenges Watfa, Mohamed K., 2011-10-31 There has been a dramatic increase in the utilization of wireless technologies in healthcare systems as a consequence of the wireless ubiquitous and pervasive communications revolution. Emerging information and wireless communication technologies in health and healthcare have led to the creation of e-health systems, also known as e-healthcare, which have been drawing increasing attention in the public and have gained strong support from government agencies and various organizations. E-Healthcare Systems and Wireless Communications: Current and Future Challenges explores the developments and challenges associated with the successful deployment of e-healthcare systems. The book combines research efforts in different disciplines including pervasive wireless communications, wearable computing, context-awareness, sensor data fusion, artificial intelligence, neural networks, expert systems, databases, and security. This work serves as a comprehensive reference for graduate students in bioengineering and also provides solutions for medical researchers who are faced with the challenge of designing and implementing a cost-effective pervasive and ubiquitous wireless communication system. |
| asu computer systems engineering: Network Games Asu Ozdaglar, Ishai Menache, 2011-01-02 Traditional network optimization focuses on a single control objective in a network populated by obedient users and limited dispersion of information. However, most of today's networks are large-scale with lack of access to centralized information, consist of users with diverse requirements, and are subject to dynamic changes. These factors naturally motivate a new distributed control paradigm, where the network infrastructure is kept simple and the network control functions are delegated to individual agents which make their decisions independently (selfishly). The interaction of multiple independent decision-makers necessitates the use of game theory, including economic notions related to markets and incentives. This monograph studies game theoretic models of resource allocation among selfish agents in networks. The first part of the monograph introduces fundamental game theoretic topics. Emphasis is given to the analysis of dynamics in game theoretic situations, which is crucial for design and control of networked systems. The second part of the monograph applies the game theoretic tools for the analysis of resource allocation in communication networks. We set up a general model of routing in wireline networks, emphasizing the congestion problems caused by delay and packet loss. In particular, we develop a systematic approach to characterizing the inefficiencies of network equilibria, and highlight the effect of autonomous service providers on network performance. We then turn to examining distributed power control in wireless networks. We show that the resulting Nash equilibria can be efficient if the degree of freedom given to end-users is properly designed. Table of Contents: Static Games and Solution Concepts / Game Theory Dynamics / Wireline Network Games / Wireless Network Games / Future Perspectives |
| asu computer systems engineering: Algorithm Design for Networked Information Technology Systems Sumit Ghosh, 2007-05-08 I felt deeply honored when Professor Sumit Ghosh asked me to write the foreword to his book with an extraordinary perspective. I have long admired him, ?rst as a student leader at Stanford, where he initiated the ?rst IEEE Computer Society’s student chapter, and later as an esteemed and inspiring friend whose transdisciplinary research broadened and enhanced the horizons of practitioners of computer science and engineering, including my own. His ideas, which are derived from his profound vision, deep critical thinking, and personal intuition, reach from information technology to bioscience, as - hibited in this excellent book. To me, an ordinary engineer, it opens up a panoramic view of the Universe of Knowledge that keeps expanding and - spiring,likethegoodIndianproverb,whichsays,“agoodbookinformsyou,an excellent book teaches you, and a great book changes you. ” I sincerely believe that Professor Ghosh’s book will help us change and advance the methods of systems engineering and technology. Vision Inspired vision sees ahead of others what will or may come to be, a vivid, imagined concept or anticipation. An inspired vision personi?es what is good and what like-minded individuals hope for. Our vision is one of creating an Internet of minds, where minds are Web sites or knowledge centers, which create, store, and radiate knowledge through interaction with other minds connected by a universal shared network. This vision will not just hasten the death of distance, but will also - carcerate ignorance. |
| asu computer systems engineering: Darkweb Cyber Threat Intelligence Mining John Robertson, Ahmad Diab, Ericsson Marin, Eric Nunes, Vivin Paliath, Jana Shakarian, Paulo Shakarian, 2017-04-04 The important and rapidly emerging new field known as 'cyber threat intelligence' explores the paradigm that defenders of computer networks gain a better understanding of their adversaries by understanding what assets they have available for an attack. In this book, a team of experts examines a new type of cyber threat intelligence from the heart of the malicious hacking underworld - the dark web. These highly secure sites have allowed anonymous communities of malicious hackers to exchange ideas and techniques, and to buy/sell malware and exploits. Aimed at both cybersecurity practitioners and researchers, this book represents a first step toward a better understanding of malicious hacking communities on the dark web and what to do about them. The authors examine real-world darkweb data through a combination of human and automated techniques to gain insight into these communities, describing both methodology and results. |
| asu computer systems engineering: Software-Defined Networking and Security Dijiang Huang, Ankur Chowdhary, Sandeep Pisharody, 2018-12-07 Discusses virtual network security concepts Considers proactive security using moving target defense Reviews attack representation models based on attack graphs and attack trees Examines service function chaining in virtual networks with security considerations Recognizes machine learning and AI in network security |
| asu computer systems engineering: Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments National Academies of Sciences, Engineering, and Medicine, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Policy and Global Affairs, Board on Higher Education and Workforce, Committee on the Growth of Computer Science Undergraduate Enrollments, 2018-03-28 The field of computer science (CS) is currently experiencing a surge in undergraduate degree production and course enrollments, which is straining program resources at many institutions and causing concern among faculty and administrators about how best to respond to the rapidly growing demand. There is also significant interest about what this growth will mean for the future of CS programs, the role of computer science in academic institutions, the field as a whole, and U.S. society more broadly. Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments seeks to provide a better understanding of the current trends in computing enrollments in the context of past trends. It examines drivers of the current enrollment surge, relationships between the surge and current and potential gains in diversity in the field, and the potential impacts of responses to the increased demand for computing in higher education, and it considers the likely effects of those responses on students, faculty, and institutions. This report provides recommendations for what institutions of higher education, government agencies, and the private sector can do to respond to the surge and plan for a strong and sustainable future for the field of CS in general, the health of the institutions of higher education, and the prosperity of the nation. |
| asu computer systems engineering: Intelligent Information Technologies and Applications Sugumaran, Vijayan, 2007-11-30 With the inundation of emergent online- and Web-centered technologies, there has been an increased focus on intelligent information technologies that are designed to enable users to accomplish complex tasks with relative ease. Intelligent Information Technologies and Applications provides cutting-edge research on the modeling; implementation; and financial, environmental, and organizational implications of this dynamic topic to researchers and practitioners in fields such as information systems, intelligent agents, artificial intelligence, and Web engineering. |
| asu computer systems engineering: The Productive Programmer Neal Ford, 2008-07-03 Anyone who develops software for a living needs a proven way to produce it better, faster, and cheaper. The Productive Programmer offers critical timesaving and productivity tools that you can adopt right away, no matter what platform you use. Master developer Neal Ford not only offers advice on the mechanics of productivity-how to work smarter, spurn interruptions, get the most out your computer, and avoid repetition-he also details valuable practices that will help you elude common traps, improve your code, and become more valuable to your team. You'll learn to: Write the test before you write the code Manage the lifecycle of your objects fastidiously Build only what you need now, not what you might need later Apply ancient philosophies to software development Question authority, rather than blindly adhere to standards Make hard things easier and impossible things possible through meta-programming Be sure all code within a method is at the same level of abstraction Pick the right editor and assemble the best tools for the job This isn't theory, but the fruits of Ford's real-world experience as an Application Architect at the global IT consultancy ThoughtWorks. Whether you're a beginner or a pro with years of experience, you'll improve your work and your career with the simple and straightforward principles in The Productive Programmer. |
| asu computer systems engineering: Database Applications Semantics L. Mark, 2016-01-09 The number of new applications in need of database support is exploding and there is an increasing need to link and access database systems supporting these new applications via computer networks. End-users and non-computer experts are becoming heavily involved in the set-up, management and use of database systems and this book provides the important database design methodologies and implementation technology which should be available for them as well as for computer experts. |
| asu computer systems engineering: Convex Analysis and Optimization Dimitri Bertsekas, Angelia Nedic, Asuman Ozdaglar, 2003-03-01 A uniquely pedagogical, insightful, and rigorous treatment of the analytical/geometrical foundations of optimization. The book provides a comprehensive development of convexity theory, and its rich applications in optimization, including duality, minimax/saddle point theory, Lagrange multipliers, and Lagrangian relaxation/nondifferentiable optimization. It is an excellent supplement to several of our books: Convex Optimization Theory (Athena Scientific, 2009), Convex Optimization Algorithms (Athena Scientific, 2015), Nonlinear Programming (Athena Scientific, 2016), Network Optimization (Athena Scientific, 1998), and Introduction to Linear Optimization (Athena Scientific, 1997). Aside from a thorough account of convex analysis and optimization, the book aims to restructure the theory of the subject, by introducing several novel unifying lines of analysis, including: 1) A unified development of minimax theory and constrained optimization duality as special cases of duality between two simple geometrical problems. 2) A unified development of conditions for existence of solutions of convex optimization problems, conditions for the minimax equality to hold, and conditions for the absence of a duality gap in constrained optimization. 3) A unification of the major constraint qualifications allowing the use of Lagrange multipliers for nonconvex constrained optimization, using the notion of constraint pseudonormality and an enhanced form of the Fritz John necessary optimality conditions. Among its features the book: a) Develops rigorously and comprehensively the theory of convex sets and functions, in the classical tradition of Fenchel and Rockafellar b) Provides a geometric, highly visual treatment of convex and nonconvex optimization problems, including existence of solutions, optimality conditions, Lagrange multipliers, and duality c) Includes an insightful and comprehensive presentation of minimax theory and zero sum games, and its connection with duality d) Describes dual optimization, the associated computational methods, including the novel incremental subgradient methods, and applications in linear, quadratic, and integer programming e) Contains many examples, illustrations, and exercises with complete solutions (about 200 pages) posted at the publisher's web site http://www.athenasc.com/convexity.html |
| asu computer systems engineering: The Fifth Wave Michael M. Crow, William B. Dabars, 2020-04-14 Out of the crises of American higher education emerges a new class of large-scale public universities designed to accelerate social change through broad access to world-class knowledge production and cutting-edge technological innovation. America's research universities lead the world in discovery, creativity, and innovation—but are captive to a set of design constraints that no longer aligns with the changing needs of society. Their commitment to discovery and innovation, which is carried out largely in isolation from the socioeconomic challenges faced by most Americans, threatens to impede the capacity of these institutions to contribute decisively and consistently to the collective good. The global preeminence of our leading institutions, moreover, does not correlate with overall excellence in American higher education. Sadly, admissions practices that flatly exclude the majority of academically qualified applicants are now the norm in our leading universities, both public and private. In The Fifth Wave, Michael M. Crow and William B. Dabars argue that colleges and universities need to be comprehensively redesigned in order to educate millions more qualified students while leveraging the complementarities between discovery and accessibility. Building on the themes of their prior collaboration, Designing the New American University, this book examines the historical development of American higher education—the first four waves—and describes the emerging standard of institutions that will transform the field. What must emerge in this Fifth Wave of universities, Crow and Dabars posit, are institutions that are responsive to the needs of students, focused on access, embedded in their regions, and committed to solving global problems. The Fifth Wave in American higher education, Crow and Dabars write, comprises an emerging league of colleges and universities that aspires to accelerate positive social outcomes through the seamless integration of world-class knowledge production with cutting-edge technological innovation. This set of institutions is dedicated to the advancement of accessibility to the broadest possible demographic that is representative of the socioeconomic and intellectual diversity of our nation. Recognizing the fact that both cooperation and competition between universities is essential if higher education hopes to truly serve the needs of the nation, Fifth Wave schools like Arizona State University are already beginning to spearhead a network spanning academia, business and industry, government agencies and laboratories, and civil society organizations. Drawing from a variety of disciplines, including design, economics, public policy, organizational theory, science and technology studies, sociology, and even cognitive psychology and epistemology, The Fifth Wave is a must-read for anyone concerned with the future of higher education in our society. |
(Cybersecurity), BSE Computer Systems Engineering
The Bachelor of Science in Engineering program in computer systems engineering with a concentration in cybersecurity provides students with the knowledge and skills they need to …
School of Computing and Augmented Intelligence NAME: …
Mar 28, 2024 · computer systems concepts. Social and ethical responsibility. FSE 100: Introduction to Engineering-Introduces the engineering design process; working in engineering …
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Computer Engineering is a multi-disciplinary program that builds on the fundamentals of Computer Science, Electrical Engineering, Applied Mathematics, and Physical Sciences.
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After completing Term 1‐4 coursework on the Alternative Flowchart, students will transition to Terms 5‐8 on the principle major flowchart. This includes all prerequisites for Term 5‐8 …
Computer and Systems Engineering - Ain Shams University
Computer and Systems Engineering is currently one of the most rapidly growing engineering disciplines worldwide. With the advances in fields such as smart systems, artificial intelligence, …
Computer Systems Engineering, BSE - degrees.apps.asu.edu
The BSE program in computer systems engineering focuses on the analysis, design, testing, integration and evaluation of hardware and software systems. The curriculum is grounded in …
School of Computing and Augmented Intelligence NAME: …
computer systems concepts. Social and ethical responsibility. FSE 100: Introduction to Engineering-Introduces the engineering design process; working in engineering teams; the …
CSE220 Programming for Computer Engineering
This is a required course for the B.S.E. in the Computer Systems Engineering program. The C, C++ and Python programming languages are used extensively in industrial computer …
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The Master of Science in Computer Science is a 30-credit hour program that provides students with a comprehensive foundation in computer science and AI and prepares them for highly …
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Computer Science, MCS - degrees.apps.asu.edu
In this program, you'll gain an advanced understanding of computation, while strengthening your skills through technical projects. The Master of Computer Science program affords students …
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After completing Term 1‐4 coursework on the Alternative Flowchart, students will transition to Terms 5‐8 on the principle major flowchart. This includes all prerequisites for Term 5‐8 …
Computer Engineering Computer Systems and Electrical …
Jul 30, 2018 · Computer Engineering graduate students should have knowledge in the following topics prior to applying for the program at Arizona State University: Computer Architecture & …
Computer Systems Engineering Bachelor of Science …
Computer Systems Engineering ASU ID #: Bachelor of Science Engineering (BSE) 2021-2022 ESCSEBSE REQUIRED AWARENESS AREAS Cultural Global Historical General Notes: - …
Computer Engineering
Computer Engineering graduate students should know the following topics before applying for the program at Arizona State University: Computer Architecture & Organization, Algorithms & Data …
Computer Science (Big Data Systems), MCS
Students acquire the knowledge, skills and expertise needed to design scalable systems (parallel, distributed and real time) that acquire, store, process and access large-scale heterogeneous …
Computer Systems Engineering (Cybersecurity) Bachelor of …
Computer Systems Engineering (Cybersecurity) Bachelor of Science Engineering (BSE) 2021-2022 ESCSEIBSE REQUIRED AWARENESS AREAS Cultural Global Historical General …
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Computer Engineering (CEN) is a multi-disciplinary program that builds on the fundamentals of Computer Science, Electrical Engineering, Applied Mathematics, and Physical Sciences.
Computer Engineering
Computer Engineering graduate students should know the following topics before applying for the program at Arizona State University: Computer Architecture & Organization, Algorithms & Data …
Computer Engineering Computer Systems and Electrical …
Computer Engineering graduate students should know the following topics before applying for the program at Arizona State University: Computer Architecture & Organization, Algorithms & Data …
(Cybersecurity), BSE Computer Systems Engineering
The Bachelor of Science in Engineering program in computer systems engineering with a concentration in cybersecurity provides students with the knowledge and skills they need to …
School of Computing and Augmented Intelligence NAME: …
Mar 28, 2024 · computer systems concepts. Social and ethical responsibility. FSE 100: Introduction to Engineering-Introduces the engineering design process; working in engineering …
Computer Engineering
Computer Engineering is a multi-disciplinary program that builds on the fundamentals of Computer Science, Electrical Engineering, Applied Mathematics, and Physical Sciences.
Visio-Computer Systems Engineering 2022 - School of …
After completing Term 1‐4 coursework on the Alternative Flowchart, students will transition to Terms 5‐8 on the principle major flowchart. This includes all prerequisites for Term 5‐8 …
Computer and Systems Engineering - Ain Shams University
Computer and Systems Engineering is currently one of the most rapidly growing engineering disciplines worldwide. With the advances in fields such as smart systems, artificial intelligence, …
Computer Systems Engineering, BSE - degrees.apps.asu.edu
The BSE program in computer systems engineering focuses on the analysis, design, testing, integration and evaluation of hardware and software systems. The curriculum is grounded in …
School of Computing and Augmented Intelligence NAME: …
computer systems concepts. Social and ethical responsibility. FSE 100: Introduction to Engineering-Introduces the engineering design process; working in engineering teams; the …
CSE220 Programming for Computer Engineering
This is a required course for the B.S.E. in the Computer Systems Engineering program. The C, C++ and Python programming languages are used extensively in industrial computer …
Master’s in Computer Science Graduate Handbook 2024-2025
The Master of Science in Computer Science is a 30-credit hour program that provides students with a comprehensive foundation in computer science and AI and prepares them for highly …
Computer Engineering
Computer Engineering graduate students should know about the following topics before applying for the program at Arizona State University: Computer Architecture & Organization, Algorithms …
Computer Science, MCS - degrees.apps.asu.edu
In this program, you'll gain an advanced understanding of computation, while strengthening your skills through technical projects. The Master of Computer Science program affords students …
Visio-Computer Systems Engineering (Cybersecurity) 2022
After completing Term 1‐4 coursework on the Alternative Flowchart, students will transition to Terms 5‐8 on the principle major flowchart. This includes all prerequisites for Term 5‐8 …
Computer Engineering Computer Systems and Electrical …
Jul 30, 2018 · Computer Engineering graduate students should have knowledge in the following topics prior to applying for the program at Arizona State University: Computer Architecture & …
Computer Systems Engineering Bachelor of Science …
Computer Systems Engineering ASU ID #: Bachelor of Science Engineering (BSE) 2021-2022 ESCSEBSE REQUIRED AWARENESS AREAS Cultural Global Historical General Notes: - …
Computer Engineering
Computer Engineering graduate students should know the following topics before applying for the program at Arizona State University: Computer Architecture & Organization, Algorithms & Data …
Computer Science (Big Data Systems), MCS
Students acquire the knowledge, skills and expertise needed to design scalable systems (parallel, distributed and real time) that acquire, store, process and access large-scale heterogeneous …
Computer Systems Engineering (Cybersecurity) Bachelor of …
Computer Systems Engineering (Cybersecurity) Bachelor of Science Engineering (BSE) 2021-2022 ESCSEIBSE REQUIRED AWARENESS AREAS Cultural Global Historical General …
Computer Engineering
Computer Engineering (CEN) is a multi-disciplinary program that builds on the fundamentals of Computer Science, Electrical Engineering, Applied Mathematics, and Physical Sciences.
Computer Engineering
Computer Engineering graduate students should know the following topics before applying for the program at Arizona State University: Computer Architecture & Organization, Algorithms & Data …
Computer Engineering Computer Systems and Electrical …
Computer Engineering graduate students should know the following topics before applying for the program at Arizona State University: Computer Architecture & Organization, Algorithms & Data …
