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Strengthening Deep Neural Networks: Making AI Less Susceptible to Adversarial Trickery
by Katy WarrAs deep neural networks (DNNs) become increasingly common in real-world applications, the potential to deliberately "fool" them with data that wouldn’t trick a human presents a new attack vector. This practical book examines real-world scenarios where DNNs—the algorithms intrinsic to much of AI—are used daily to process image, audio, and video data.Author Katy Warr considers attack motivations, the risks posed by this adversarial input, and methods for increasing AI robustness to these attacks. If you’re a data scientist developing DNN algorithms, a security architect interested in how to make AI systems more resilient to attack, or someone fascinated by the differences between artificial and biological perception, this book is for you.Delve into DNNs and discover how they could be tricked by adversarial inputInvestigate methods used to generate adversarial input capable of fooling DNNsExplore real-world scenarios and model the adversarial threatEvaluate neural network robustness; learn methods to increase resilience of AI systems to adversarial dataExamine some ways in which AI might become better at mimicking human perception in years to come
Strengthening Information and Control Systems
by Elisa Bonollo Renata Paola Dameri Daniela ManciniThis book presents a collection of original research papers focused on the relationship between information technology and accounting and control models. The book discusses the importance of establishing a synergetic relationship between new information technologies (ERP, BI, web-based technology, data mining, XBRL, etc. ) and new or renewed accounting models and tools (performance indicators, prevision and simulation models, accounting models for public administration, etc. ) in order to enhance an organization's capability to manage information and make valuable decisions. The search for these synergies takes place at all organizational levels: at a strategic level, in order to simulate and forecast behaviors and financial results at a management level, in order to innovate performance measurement and improve value creation at the operational level, in order to improve information quality and the efficiency of the information process. This book is particularly useful for IS and CFO managers and scholars, as it is based on a selection of the best papers - original, double blind reviewed contributions - presented to the Annual Conference of the Italian Chapter of AIS under the category "Accounting Information Systems".
The Stress Equation
by Marcus LagreWorkplace stress is not the weakness of individuals; it's caused by systemic problems. Armed with the insights in this book, you can identify, analyze, and systematically reduce the factors that lead to poor health, low productivity, and personal burnout. This book gives you a framework for understanding stress, and a vocabulary to make it easier to discuss it among colleagues. Stress can be fixed; find out how. The interviewer asks, "How well do you cope with stress?" Your response should be, "Let's fix your environment so we don't have to." Work-related stress is one of the leading causes of mental illness among white-collar workers. It hurts companies, projects, and (most importantly) people! Stress is a burden that's created when teams stop working well. The Stress Equation is a model and a tool to help talk about stress as a systemic issue. By exploring how pressure, complexity, and security interact in software teams, we move focus away from the individual, so that we can talk about stress from a team and organizational perspective. By exploring external factors, we discuss how to solve problems rather than cope with the consequences. Whether you're an individual feeling stressed or a manager who can help, you'll learn the causes of, fixes for, and how to talk about stress. We regulate pressure by how we decide how much work we have to do and when it needs to be finished. Complexity is decided by how we handle our product and organization design. Our security is less about our pay and benefits, and more about the support and trust we feel.Stress should not be a given. Instead, it's a symptom of a diseased organization. With this book, you can begin the healing process.What You Need:No special requirements.
String Algorithms in C: Efficient Text Representation and Search
by Thomas MailundImplement practical data structures and algorithms for text search and discover how it is used inside other larger applications. This unique in-depth guide explains string algorithms using the C programming language. String Algorithms in C teaches you the following algorithms and how to use them: classical exact search algorithms; tries and compact tries; suffix trees and arrays; approximative pattern searches; and more. In this book, author Thomas Mailund provides a library with all the algorithms and applicable source code that you can use in your own programs. There are implementations of all the algorithms presented in this book so there are plenty of examples. You’ll understand that string algorithms are used in various applications such as image processing, computer vision, text analytics processing from data science to web applications, information retrieval from databases, network security, and much more. What You Will Learn Use classical exact search algorithms including naive search, borders/border search, Knuth-Morris-Pratt, and Boyer-Moor with or without Horspool Search in trees, use tries and compact tries, and work with the Aho-Carasick algorithm Process suffix trees including the use and development of McCreight’s algorithm Work with suffix arrays including binary searches; sorting naive constructions; suffix tree construction; skew algorithms; and the Borrows-Wheeler transform (BWT) Deal with enhanced suffix arrays including longest common prefix (LCP) Carry out approximative pattern searches among suffix trees and approximative BWT searches Who This Book Is For Those with at least some prior programming experience with C or Assembly and have at least prior experience with programming algorithms.
String Processing and Information Retrieval: 29th International Symposium, SPIRE 2022, Concepción, Chile, November 8–10, 2022, Proceedings (Lecture Notes in Computer Science #13617)
by Diego Arroyuelo Barbara PobleteThis book constitutes the refereed proceedings of the 29th International Symposium on String Processing and Information Retrieval, SPIRE 2022, held in Concepción, Chile, in November 2022.The 23 full papers presented in this volume were carefully reviewed and selected from 43 submissions. They cover topics such as: data structures; algorithms; information retrieval; compression; combinatorics on words; and computational biology.
String Processing and Information Retrieval: 27th International Symposium, SPIRE 2020, Orlando, FL, USA, October 13–15, 2020, Proceedings (Lecture Notes in Computer Science #12303)
by Christina Boucher Sharma V. ThankachanThis book constitutes the refereed proceedings of the 27th International Symposium on String Processing and Information Retrieval, SPIRE 2020, held in Orlando, FL, USA, in October 2020. The 17 full papers and 4 short papers presented in this volume were carefully reviewed and selected from 32 submissions. They cover topics such as: data structures; algorithms; information retrieval; compression; combinatorics on words; and computational biology.
String Processing and Information Retrieval: 26th International Symposium, SPIRE 2019, Segovia, Spain, October 7–9, 2019, Proceedings (Lecture Notes in Computer Science #11811)
by Nieves R. Brisaboa Simon J. PuglisiThis volume constitutes the refereed proceedings of the 26th International Symposium on String Processing and Information Retrieval, SPIRE 2019, held in Segovia, Spain, in October 2019. The 28 full papers and 8 short papers presented in this volume were carefully reviewed and selected from 59 submissions. They cover topics such as: data compression; information retrieval; string algorithms; algorithms; computational biology; indexing and compression; and compressed data structures.
String Processing and Information Retrieval: 25th International Symposium, SPIRE 2018, Lima, Peru, October 9-11, 2018, Proceedings (Lecture Notes in Computer Science #11147)
by Travis Gagie Alistair Moffat Gonzalo Navarro Ernesto Cuadros-VargasThis book constitutes the refereed proceedings of the 25th International Symposium on String Processing and Information Retrieval, SPIRE 2018, held in Lima, Peru, in October 2018. The 22 full papers and 6 short papers presented were carefully reviewed and selected from 51 submissions. They focus on fundamental studies on string processing and information retrieval, as well as on computational biology.
String Processing and Information Retrieval
by Shunsuke Inenaga Kunihiko Sadakane Tetsuya SakaiThis book constitutes the refereed proceedings of the 23rd International Symposium on String Processing and Information Retrieval, SPIRE 2016, held in Beppu, Japan, in October 2016. The 25 full papers presented were carefully reviewed and selected from 46 submissions. The focus of the papers is on fundamental studies of string processes and information retrieval and its applications for example to areas such as bioinformatics, Web mining and others.
String Processing and Information Retrieval: 28th International Symposium, SPIRE 2021, Lille, France, October 4–6, 2021, Proceedings (Lecture Notes in Computer Science #12944)
by Thierry Lecroq Hélène TouzetThis book constitutes the refereed proceedings of the 27th International Symposium on String Processing and Information Retrieval, SPIRE 2021, held in Lille, France, in October 2021.*The 14 full papers and 4 short papers presented together with 2 invited papers in this volume were carefully reviewed and selected from 30 submissions. They cover topics such as: data structures; algorithms; information retrieval; compression; combinatorics on words; and computational biology. *The symposium was held virtually.
String Processing and Information Retrieval: 31st International Symposium, SPIRE 2024, Puerto Vallarta, Mexico, September 23–25, 2024, Proceedings (Lecture Notes in Computer Science #14899)
by Zsuzsanna Lipták Edleno Moura Karina Figueroa Ricardo Baeza-YatesThis book constitutes the refereed proceedings of the 31st International Symposium on String Processing and Information Retrieval, SPIRE 2024, held in Puerto Vallarta, Mexico, during September 23–25, 2024. The 22 full papers and 4 short papers presented in this volume were carefully reviewed and selected from 41 submissions. The papers reflect the continuation of the long and well-established tradition of encouraging high-quality research at the broad nexus of string processing, information retrieval, and computational biology.
String Processing and Information Retrieval: 30th International Symposium, SPIRE 2023, Pisa, Italy, September 26–28, 2023, Proceedings (Lecture Notes in Computer Science #14240)
by Franco Maria Nardini Nadia Pisanti Rossano VenturiniThis volume LNCS 14240 constitutes the refereed proceedings of the 30th International Symposium on String Processing and Information Retrieval, SPIRE 2023, held in Pisa, Italy, during September 26–28, 2023. The 31 full papers presented were carefully reviewed and selected from 47 submissions. They cover topics such as: data structures; algorithms; constrained Substring complexity; data compression codes; succinct k-spectra; and LCP array of wheeler DFAs.
Stripes by Example
by Brent WatsonIn this 100-page book, you will find that Stripes provides a very simple learning path, where you do not need to understand the entire framework in order to use it. The concept of this book is exactly that - to get you using the framework and writing code immediately. You will be off and running in no time, and adding to your skill set as you progress. This book is written with exactly that learning method in mind. No filler, no empty explanations. . . just code. You won't be driving solo, however. Each code example is heavily annotated with comments and tips, so that you not only understand each snippet, but can also dive deeper if you so choose. Stripes is a web framework for the Java programming language. It was initially released in 2005 by Tim Fennell. Despite its growth and maturity, Stripes has always focused on two key principles: simplicity and ease of development. Stripes has also remained a solution for a single application tier: the web-layer. Its purpose is to handle the interaction between a web browser and server-side java code. To tie these concepts together Stripes makes heavy use of Java annotations, which we will see as we learn the various features of Stripes. What you'll learn How to get started with Stripes, the popular Java-based Web framework What are ActionBeans and how to use them How to map URLs to methods What are JSPs and forms and how to use them How to work with data and interact with ActionBeans What are validations, resolutions, and annotations and how to use them What are interceptors and how to use them What is good design and how to apply it using Stripes Who this book is for This book is for experienced Java and/or web developers who are new to the Stripes web framework. Table of Contents 1. Introduction To Stripes 2. Getting Started 3. ActionBeans. 4. Mapping URLs to Methods 5. JSPs 6. Forms 7. Working With Data 8. Interaction Between ActionBeans 9. Validation 10. Resolutions 11. Other Annotations 12. Internationalization 13. Interceptors 14. File Uploads 15. Good Design 16. Next Steps
Strong Security Governance through Integration and Automation: A Practical Guide to Building an Integrated GRC Framework for Your Organization (Internal Audit and IT Audit)
by Priti SikdarThis book provides step by step directions for organizations to adopt a security and compliance related architecture according to mandatory legal provisions and standards prescribed for their industry, as well as the methodology to maintain the compliances. It sets a unique mechanism for monitoring controls and a dashboard to maintain the level of compliances. It aims at integration and automation to reduce the fatigue of frequent compliance audits and build a standard baseline of controls to comply with the applicable standards and regulations to which the organization is subject. It is a perfect reference book for professionals in the field of IT governance, risk management, and compliance. The book also illustrates the concepts with charts, checklists, and flow diagrams to enable management to map controls with compliances.
Structural Analysis in the Social Sciences: Mobilizing Poor Voters
by Mariela SzwarcbergDemocracy has provided opportunities for political representation and accountability, but it has also created incentives for creating and maintaining clientelistic networks. Why has clientelism consolidated with the introduction of democracy? Drawing on network analysis, Mobilizing Poor Voters answers this question by describing and explaining the emergence, maintenance, and disappearance of political, partisan, and social networks in Argentina. Combining qualitative and quantitative data gathered during twenty-four months of field research in eight municipalities in Argentina, Mobilizing Poor Voters shows that when party leaders distribute political promotions to party candidates based only on the number of voters they mobilize, party leaders incentivize the use of clientelistic strategies among candidates competing to mobilize voters in poor neighborhoods. The logic of perverse incentives examined in this book explains why candidates who use clientelism succeed in getting elected and re-elected over time, contributing to the consolidation of political machines at the local level.
Structural and Technological Transformation of Education in the Post-Pandemic Period: Problems and Prospects (Lecture Notes in Networks and Systems #1282)
by Alexei L. Semenov Vadim V. Grishkun Svetlana N. Dvoryatkina Vladimir A. FaermanCovering both pre-university and university levels, this book addresses the challenges and adaptations in mathematics education during the pandemic. The book "Structural and Technological Transformation of Education in the Post-Pandemic Period" critically examines the changes in STEM education, particularly in mathematics and computer science, prompted by the COVID-19 pandemic. It presents innovative methodologies that incorporate technology into teaching, highlighting the role of ICT in enhancing learning experiences. The focus is on hybrid intelligent systems and data-driven assessment methods that personalize learning and improve educational outcomes. Solutions discussed include the implementation of blended learning models, fostering critical thinking through complex tasks, and using historical contexts to deepen mathematical understanding. This edition serves as a valuable resource for educators, policymakers, and students aspiring to teach in STEM fields, providing insights into the evolving educational landscape.
Structural Bioinformatics: An Algorithmic Approach (Chapman & Hall/CRC Computational Biology Series)
by Forbes J. BurkowskiThe Beauty of Protein Structures and the Mathematics behind Structural BioinformaticsProviding the framework for a one-semester undergraduate course, Structural Bioinformatics: An Algorithmic Approach shows how to apply key algorithms to solve problems related to macromolecular structure.Helps Students Go Further in Their Study of Structural Biolog
Structural Bioinformatics: Applications in Preclinical Drug Discovery Process (Challenges and Advances in Computational Chemistry and Physics #27)
by C. Gopi MohanThis book reviews the advances and challenges of structure-based drug design in the preclinical drug discovery process, addressing various diseases, including malaria, tuberculosis and cancer. Written by internationally recognized researchers, this edited book discusses how the application of the various in-silico techniques, such as molecular docking, virtual screening, pharmacophore modeling, molecular dynamics simulations, and residue interaction networks offers insights into pharmacologically active novel molecular entities. <P><P> It presents a clear concept of the molecular mechanism of different drug targets and explores methods to help understand drug resistance. In addition, it includes chapters dedicated to natural-product- derived medicines, combinatorial drug discovery, the CryoEM technique for structure-based drug design and big data in drug discovery. <P><P> The book offers an invaluable resource for graduate and postgraduate students, as well as for researchers in academic and industrial laboratories working in the areas of chemoinformatics, medicinal and pharmaceutical chemistry and pharmacoinformatics.
Structural Changes and their Econometric Modeling (Studies in Computational Intelligence #808)
by Vladik Kreinovich Songsak SriboonchittaThis book focuses on structural changes and economic modeling. It presents papers describing how to model structural changes, as well as those introducing improvements to the existing before-structural-changes models, making it easier to later on combine these models with techniques describing structural changes. The book also includes related theoretical developments and practical applications of the resulting techniques to economic problems. Most traditional mathematical models of economic processes describe how the corresponding quantities change with time. However, in addition to such relatively smooth numerical changes, economical phenomena often undergo more drastic structural change. Describing such structural changes is not easy, but it is vital if we want to have a more adequate description of economic phenomena – and thus, more accurate and more reliable predictions and a better understanding on how best to influence the economic situation.
Structural Decision Diagrams in Digital Test: Theory and Applications (Computer Science Foundations and Applied Logic)
by Raimund Ubar Jaan Raik Maksim Jenihhin Artur JutmanThis is the first book that sums up test-related modeling of digital circuits and systems by a new structural-decision-diagrams model. The model represents structural and functional information jointly and opens a new area of research.The book introduces and discusses applications of two types of structural decision diagrams (DDs): low-level, structurally synthesized binary DDs (SSBDDs) and high-level DDs (HLDDs) that enable diagnostic modeling of complex digital circuits and systems.Topics and features:Provides the definition, properties and techniques for synthesis, compression and optimization of SSBDDs and HLDDsProvides numerous working examples that illustrate the key points of the textDescribes applications of SSBDDs and HLDDs for various electronic design automation (EDA) tasks, such as logic-level fault modeling and simulation, multi-valued simulation, timing-critical path identification, and test generationDiscusses the advantages of the proposed model to traditional binary decision diagrams and other traditional design representationsCombines SSBDDs with HLDDs for multi-level representation of digital systems for enabling hierarchical and cross-level solving of complex test-related tasksThis unique book is aimed at researchers working in the fields of computer science and computer engineering, focusing on test, diagnosis and dependability of digital systems. It can also serve as a reference for graduate- and advanced undergraduate-level computer engineering and electronics courses.Three authors are affiliated with the Dept. of Computer Systems at the Tallinn University of Technology, Estonia: Raimund Ubar is a retired Professor, Jaan Raik and Maksim Jenihhin are tenured Professors. Artur Jutman, PhD, is a researcher at the same university and the CEO of Testonica Lab Ltd., Estonia.
Structural Dynamic Systems Computational Techniques and Optimization: Nonlinear Techniques (Gordon and Breach International Series in Engineering, Technolo)
by Cornelius T. LeondesNonlinear structural dynamic systems which are multi-degree of freedom systems involve, for instance, matrix dynamic equilibrium equations, which can be of various order up to very high order. In these equations, the nonlinear quantities can be dependent on time and other terms, such as scalar variables, which are dependent on time. Frequency response and response time derivatives would also, of course, be involved. Nonlinear terms can account for dissipative phenomena and can be due to other physical phenomena. In fact, many engineering structures involve time-dependent properties such as, stiffness elements of specific structural components which can change according to the stress level. Other examples of dynamic elements of nonlinear structural systems can include system mass and damping distribution elements which evolve with time, such as railway or highway bridges and other structures, which interact with external agencies generating the system motion (for example, trains, a queue of vehicles, or other external agencies.) This volume is a rather comprehensive treatment of many of the techniques and methods which are utilized for the analysis of nonlinear structural dynamic systems.
Structural Dynamic Systems Computational Techniques and Optimization: Computational Techniques (Gordon and Breach International Series in Engineering, Technolo)
by Cornelius T. LeondesComputational techniques for the analysis and design of structural dynamic systems using numerical methods have been the focus of an enormous amount of research for several decades. In general, the numerical methods utilized to solve these problems include two phases: (a) spatial discretization by either the finite element method (FEM) or the finite difference method (FDM), and (b) solution of systems of time dependent second-order ordinary differential equations. In addition, the significantly powerful advances in computer systems capabilities have put on the desks of structural systems designers enormous computing power either by means of increasingly effective computer workstations or else through PCs (personal computers), whose increasing power has succeeded in marginalizing the computational power differences between PCs and workstations in many cases. This volume is a comprehensive treatment of the issues involved in computational techniques in structural dynamic systems.
Structural Equation Modelling with Partial Least Squares Using Stata and R
by Mehmet Mehmetoglu Sergio VenturiniPartial least squares structural equation modelling (PLS-SEM) is becoming a popular statistical framework in many fields and disciplines of the social sciences. The main reason for this popularity is that PLS-SEM can be used to estimate models including latent variables, observed variables, or a combination of these. The popularity of PLS-SEM is predicted to increase even more as a result of the development of new and more robust estimation approaches, such as consistent PLS-SEM. The traditional and modern estimation methods for PLS-SEM are now readily facilitated by both open-source and commercial software packages. This book presents PLS-SEM as a useful practical statistical toolbox that can be used for estimating many different types of research models. In so doing, the authors provide the necessary technical prerequisites and theoretical treatment of various aspects of PLS-SEM prior to practical applications. What makes the book unique is the fact that it thoroughly explains and extensively uses comprehensive Stata (plssem) and R (cSEM and plspm) packages for carrying out PLS-SEM analysis. The book aims to help the reader understand the mechanics behind PLS-SEM as well as performing it for publication purposes. Features: Intuitive and technical explanations of PLS-SEM methods Complete explanations of Stata and R packages Lots of example applications of the methodology Detailed interpretation of software output Reporting of a PLS-SEM study Github repository for supplementary book material The book is primarily aimed at researchers and graduate students from statistics, social science, psychology, and other disciplines. Technical details have been moved from the main body of the text into appendices, but it would be useful if the reader has a solid background in linear regression analysis.
Structural Equation Models: From Paths to Networks (Studies in Systems, Decision and Control #22)
by J. Christopher WestlandThis new edition surveys the full range of available structural equation modeling (SEM) methodologies. The book has been updated throughout to reflect the arrival of new software packages, which have made analysis much easier than in the past. Applications in a broad range of disciplines are discussed, particularly in the social sciences where many key concepts are not directly observable. This book presents SEM’s development in its proper historical context–essential to understanding the application, strengths and weaknesses of each particular method. This book also surveys the emerging path and network approaches that complement and enhance SEM, and that are growing in importance. SEM’s ability to accommodate unobservable theory constructs through latent variables is of significant importance to social scientists. Latent variable theory and application are comprehensively explained and methods are presented for extending their power, including guidelines for data preparation, sample size calculation and the special treatment of Likert scale data. Tables of software, methodologies and fit statistics provide a concise reference for any research program, helping assure that its conclusions are defensible and publishable.
Structural Fire Resistance Experimental Research: Priority Needs of U.S. Industry
by Kathleen H AlmandStructural Fire Resistance Experimental Research - Priority Needs of U.S. Industry provides a synthesis of stakeholder input to a prioritized agenda for research at the National Fire Research Laboratory (NFRL) at the National Institute of Standards and Technology (NIST) designed to accelerate the implementation of performance-based fire engineering for structures. The NFRL presents a broad range of unanswered questions regarding the performance of real structures in fire conditions, and informs performance-based design methods and standards in this field. The authors conducted a comprehensive literature review of large-scale structural fire testing and compiled research needs from a variety of sources. The book addresses major issues of broad concern in the fire community, such as real fire exposure and structural response, composite floor system performance, enhancing modeling performance, and understanding the embedded safety features in design methods. It concludes with a prioritized set of research recommendations for the NIST facility. The scope of issues addressed and broad range of content make this a valuable book for researchers in all aspects of fire resistance experimentation. It will also be useful for those who work with engineering standards for structures.