This book presents applications of machine learning techniques in processing multimedia large-scale data. Multimedia such as text, image, audio, video, and graphics stands as one of the most demanding and exciting aspects of the information era. The book discusses new challenges faced by researchers in dealing with these large-scale data and also presents innovative solutions to address several potential research problems, e.g., enabling comprehensive visual classification to fill the semantic gap by exploring large-scale data, offering a promising frontier for detailed multimedia understanding, as well as extract patterns and making effective decisions by analyzing the large collection of data.

Modeling techniques provide ample opportunities for progress across numerous fields. When analyzing complex systems, new methods allow for a deeper understanding of system dynamics. Method of Systems Potential (MSP) Applications in Economics: Emerging Research and Opportunities is an innovative source of academic research that examines the Method of Systems Potential for complex systems analysis in economical contexts. Highlighting critical perspectives on topics such as system efficiency, adaptive algorithms, and variable parameters, this book is ideally designed for researchers, academics, graduate students, and practitioners interested in the latest uses and applications of modeling techniques.

Throughout the past decade, the notion of ontologies has influenced research in many application areas including databases, information retrieval, electronic commerce, natural language processing, knowledge management, enterprise systems, systems analysis and design, the Web, and more.Ontology-Based Applications for Enterprise Systems and Knowledge Management provides an opportunity for readers to clearly understand the notion of ontology engineering and the practical aspects of this approach in the domains of two interest areas: Knowledge Management Systems and Enterprise Systems. A perfect reference for researchers, scholars, postgraduate students, and practitioners, this book aims to gather the recent advances and research findings of various topics in ontology use for these application areas.

"In this day and age of 'too much information and not enough time, ' the ability to get to the bottom line quickly and in a concise method is what excels companies to the top of their industry. The techniques in this book will allow you to do things you only dreamt of." -Jerry Kohl, president of Brighton Collectibles Develop your Excel macro programming skills using VBA instantly with proven techniques Automate Reports Handle Errors Master Pivot Tables Produce Charts Build User-Defined Functions Migrate to Excel 2007 Query Web Data Build Dialog Boxes Use Data Visualizations Automate Word You are an expert in Excel, but the macro recorder doesn't work and you can't make heads or tails out of the recorded code. If this is you, buy this book. Macros that you record today might work today but not tomorrow. Recorded macros might handle a dataset with 14 records but not one with 12 or 16 records. These are all common problems with the macro recorder that unfortunately cause too many Excel gurus to turn away from writing macros. This book shows you why the macro recorder fails and the steps needed to convert recorded code into code that will work every day with every dataset. The book assumes that you know Excel well, but there is no need for prior programming experience. This book describes everything you could conceivably need to know to automate reports and design applications in Excel VBA. Whether you want to automate reports for your office or design full-blown applications for others, this book is for you.

• Learn VBA syntax as easy-to-understand English
• Automate Excel's power tools: Pivot Tables, Charts, Advanced Filters
• Save hours per week by automating redundanttasks
• Create applications built on top of Excel with custom dialog boxes
• Automatically produce hundreds of Excel reports in seconds
• Understand how changes in Excel 2007 impact your VBA macros

Introduction 1 1 Unleash the Power of Excel with VBA 7 2 This Sounds Like BASIC, So Why Doesn't It Look Familiar? 29 3 Referring to Ranges 61 4 User-Defined Functions 75 5 Looping and Flow Control 101 6 R1C1-Style Formulas 121 7 What's New in Excel 2007 and What's Changed 135 8 Create and Manipulate Names in VBA 143 9 Event Programming 155 10 UserForms--An Introduction 177 11 Creating Charts 197 12 Data Mining with Advanced Filter 249 13 Using VBA to Create Pivot Tables 281 14 Excel Power 337 15 Data Visualizations and Conditional Formatting 373 16 Reading from and Writing to the Web 393 17 XML in Excel 2007 413 18 Automating Word 421 19 Arrays 441 20 Text File Processing 449 21 Using Access as a Back End to Enhance Multi-User Access to Data 461 22 Creating Classes, Records, and Collections 477 23 Advanced UserForm Techniques 493 24 Windows Application Programming Interface (API) 517 25 Handling Errors 529 26 Customizing the Ribbon to Run Macros 543 27 Creating Add-Ins 569 Index 577

Technological tools have enhanced the available opportunities and activities in the realm of e-business. In organizations that support real-time business-critical operations, the proper use and maintenance of relevant technology is crucial. Maximizing Information System Availability Through Bayesian Belief Network Approaches: Emerging Research and Opportunities is a pivotal book that features the latest research perspectives on the implementation of effective information systems in business contexts. Highlighting relevant topics such as data security, investment viability, and operational risk management, this book is ideally designed for managers, professionals, academics, practitioners, and students interested in novel techniques for maintaining and measuring information system availability.

This book chronicles a 10-year introduction of blended learning into the delivery at a leading technological university, with a longstanding tradition of technology-enabled teaching and learning, and state-of-the-art infrastructure. Hence, both teachers and students were familiar with the idea of online courses. Despite this, the longitudinal experiment did not proceed as expected. Though few technical problems, it required behavioural changes from teachers and learners, thus unearthing a host of socio-technical issues, challenges, and conundrums. With the undercurrent of design ideals such as "tech for good", any industrial sector must examine whether digital platforms are credible substitutes or at best complementary. In this era of Industry 4.0, higher education, like any other industry, should not be about the creative destruction of what we value in universities, but their digital transformation. The book concludes with an agenda for large, repeatable Randomised Controlled Trials (RCTs) to validate digital platforms that could fulfil the aspirations of the key stakeholder groups - students, faculty, and regulators as well as delving into the role of Massive Open Online Courses (MOOCs) as surrogates for "fees-free" higher education and whether the design of such a HiEd 4.0 platform is even a credible proposition. Specifically, the book examines the data-driven evidence within a design-based research methodology to present outcomes of two alternative instructional designs evaluated - traditional lecturing and blended learning. Based on the research findings and statistical analysis, it concludes that the inexorable shift to online delivery of education must be guided by informed educational management and innovation.

The five-volume set IFIP AICT 630, 631, 632, 633, and 634 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2021, held in Nantes, France, in September 2021.*The 378 papers presented were carefully reviewed and selected from 529 submissions. They discuss artificial intelligence techniques, decision aid and new and renewed paradigms for sustainable and resilient production systems at four-wall factory and value chain levels. The papers are organized in the following topical sections: Part I: artificial intelligence based optimization techniques for demand-driven manufacturing; hybrid approaches for production planning and scheduling; intelligent systems for manufacturing planning and control in the industry 4.0; learning and robust decision support systems for agile manufacturing environments; low-code and model-driven engineering for production system; meta-heuristics and optimization techniques for energy-oriented manufacturing systems; metaheuristics for production systems; modern analytics and new AI-based smart techniques for replenishment and production planning under uncertainty; system identification for manufacturing control applications; and the future of lean thinking and practice Part II: digital transformation of SME manufacturers: the crucial role of standard; digital transformations towards supply chain resiliency; engineering of smart-product-service-systems of the future; lean and Six Sigma in services healthcare; new trends and challenges in reconfigurable, flexible or agile production system; production management in food supply chains; and sustainability in production planning and lot-sizing Part III: autonomous robots in delivery logistics; digital transformation approaches in production management; finance-driven supply chain; gastronomic service system design; modern scheduling and applications in industry 4.0; recent advances in sustainable manufacturing; regular session: green production and circularity concepts; regular session: improvement models and methods for green and innovative systems; regular session: supply chain and routing management; regular session: robotics and human aspects; regular session: classification and data management methods; smart supply chain and production in society 5.0 era; and supply chain risk management under coronavirus Part IV: AI for resilience in global supply chain networks in the context of pandemic disruptions; blockchain in the operations and supply chain management; data-based services as key enablers for smart products, manufacturing and assembly; data-driven methods for supply chain optimization; digital twins based on systems engineering and semantic modeling; digital twins in companies first developments and future challenges; human-centered artificial intelligence in smart manufacturing for the operator 4.0; operations management in engineer-to-order manufacturing; product and asset life cycle management for smart and sustainable manufacturing systems; robotics technologies for control, smart manufacturing and logistics; serious games analytics: improving games and learning support; smart and sustainable production and supply chains; smart methods and techniques for sustainable supply chain management; the new digital lean manufacturing paradigm; and the role of emerging technologies in disaster relief operations: lessons from COVID-19 Part V: data-driven platforms and applications in production and logistics: digital twins and AI for sustainability; regular session: new approaches for routing problem solving; regular session: improvement of design and operation of manufacturing systems; regular session: crossdock and transportation issues; regular session: maintenance improvement and lifecycle management; regular session: additive manufacturing and mass customization; regular session: frameworks and conceptual modelling for systems and services efficiency; regular session: optimization of production and transportation systems; regular session: optimization of supply chain agility and reconfigurability; regular session: advanced modelling approaches; regular session: simulation and optimization of systems performances; regular session: AI-based approaches for quality and performance improvement of production systems; and regular session: risk and performance management of supply chains *The conference was held online.

This book provides a concise point of reference for the most commonly used regression methods. It begins with linear and nonlinear regression for normally distributed data, logistic regression for binomially distributed data, and Poisson regression and negative-binomial regression for count data. It then progresses to these regression models that work with longitudinal and multi-level data structures. The volume is designed to guide the transition from classical to more advanced regression modeling, as well as to contribute to the rapid development of statistics and data science. With data and computing programs available to facilitate readers' learning experience, Statistical Regression Modeling promotes the applications of R in linear, nonlinear, longitudinal and multi-level regression. All included datasets, as well as the associated R program in packages nlme and lme4 for multi-level regression, are detailed in Appendix A. This book will be valuable in graduate courses on applied regression, as well as for practitioners and researchers in the fields of data science, statistical analytics, public health, and related fields.

The two-volume set IFIP AICT 591 and 592 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2020, held in Novi Sad, Serbia, in August/September 2020. The 164 papers presented were carefully reviewed and selected from 199 submissions. They discuss globally pressing issues in smart manufacturing, operations management, supply chain management, and Industry 4.0. The papers are organized in the following topical sections: Part I: advanced modelling, simulation and data analytics in production and supply networks; advanced, digital and smart manufacturing; digital and virtual quality management systems; cloud-manufacturing; cyber-physical production systems and digital twins; IIOT interoperability; supply chain planning and optimization; digital and smart supply chain management; intelligent logistics networks management; artificial intelligence and blockchain technologies in logistics and DSN; novel production planning and control approaches; machine learning and artificial intelligence; connected, smart factories of the future; manufacturing systems engineering: agile, flexible, reconfigurable; digital assistance systems: augmented reality and virtual reality; circular products design and engineering; circular, green, sustainable manufacturing; environmental and social lifecycle assessments; socio-cultural aspects in production systems; data-driven manufacturing and services operations management; product-service systems in DSN; and collaborative design and engineering Part II: the Operator 4.0: new physical and cognitive evolutionary paths; digital transformation approaches in production management; digital transformation for more sustainable supply chains; data-driven applications in smart manufacturing and logistics systems; data-driven services: characteristics, trends and applications; the future of lean thinking and practice; digital lean manufacturing and its emerging practices; new reconfigurable, flexible or agile production systems in the era of industry 4.0; operations management in engineer-to-order manufacturing; production management in food supply chains; gastronomic service system design; product and asset life cycle management in the circular economy; and production ramp-up strategies for product

Multimedia and its rich semantics are profligate in today s digital environment. Databases and content management systems serve as essential tools to ensure that the endless supply of multimedia content are indexed and remain accessible to end users. Methods and Innovations for Multimedia Database Content Management highlights original research on new theories, algorithms, technologies, system design, and implementation in multimedia data engineering and management with an emphasis on automatic indexing, tagging, high-order ranking, and rule mining. This book is an ideal resource for university researchers, scientists, industry professionals, software engineers and graduate students.

What is the influence of software systems on an organization's ability to create knowledge, learn, adapt to change and innovate? While organization, management and innovation theory has primarily focused on the impact of software on measures such as process efficiency and speed, this book argues that integrated systems and digital technologies offer even more fundamental implications for the innovating firm. A series of detailed case studies provides the foundations for a deeper theoretical and empirical understanding of the nature and dynamics of software, knowledge, organization and their complex interactions. The author demonstrates how software induces the radical reconfiguration of organizational knowledge and learning dynamics, including an organization's ability to create, store, transfer and integrate knowledge across heterogeneous organizational boundaries. The book provides a unique perspective on what organizations know and how they use that knowledge to build, sustain and renew their capabilities. This includes understanding how information systems can be designed or implemented in such a way as to favour innovation and adaptation, and to prevent unfavourable patterns of behaviour. The book represents an in-depth and systematic attempt to characterize the fundamental influence of software over the processes that underpin an organization's ability to create and manage knowledge. Scholars and students interested in innovation, technological change and information technology, and managers in software and other hi-tech industries will find this an insightful and highly rewarding study.

Enterprise Systems have been used for many years to integrate technology with the management of an organization but rapid technological disruptions are now creating new challenges and opportunities that require urgent consideration. This book reappraises the implementation and management of Enterprise Systems in the digital age and investigates the vital link between business processes, information technology and the Internet for an organization's competitive advantage and success. This book primarily focuses on the implementation, operation, management and integration of Enterprise Systems with fastemerging disruptive technologies such as blockchains, big data, cryptocurrencies, artificial intelligence, cloud computing, data mining and data analytics. These disruptive technologies are now becoming mainstream and the book proposes several innovations that organizations need to adopt to remain competitive within this rapidly changing landscape. In addition, it examines Enterprise Systems, their components, architecture, and applications and enlightens readers on the benefits and shortcomings of implementing them. This book contains primary research on organizations, case studies, and benchmarks ERP implementation against international best practice.

NEW MEDIA THEORY Series Editor, Byron Hawk 327 pages, including photographs, bibliography, and index. (c) 2012 by Parlor Press AVATAR EMERGENCY is Gregory L. Ulmer's fourth book featuring the EmerAgency, an online virtual consultancy for the digital age. This time his point of departure is Paul Virilio's Generalized Accident from which he develops and theorizes the new concepts of Flash Reason, and specifically Avatar, which serves as the site for electrate identity formation in the twenty-first century. I have taught Ulmer's work on electracy for years, and his theoretical sophistication as well as the practical ambition and applicability of his work never ceases to amaze me. With Avatar Emergency, Ulmer shows once again that he is at the top of his game; I am positively thrilled to share this new and very timely treasure trove of a book with my students. -JAN RUNE HOLMEVIK, author of Inter/Vention: Free Play in the Age of Electracy Ulmer advances a ratio: "Avatar is to electracy what 'self' is to literacy, or 'spirit' to orality." He explores this "emergent logic through the invention of concept avatar." He begins, urgently, by asking: "What might wisdom be today, upon what authority might it be grounded, . . . what vision of well-being?" Perpetually asking the questions, Ulmer searches for "a vital anecdote" as an antidote to the "internet accident" by way of "flash reason." He claims, "Within this frame I present, in the genre of Mystory Internet Invention], what I have come to understand about living, my decision to become a professor of the Humanities and the lifestyle embraced as part of that choice." He invites his readers, thereby, to discover their own Mystory (mystery). Their own wisdom. After all, he explains: "Concept avatar must be not only understood, but undergone." My advice: Undergo the book -VICTOR J. VITANZA, author of Negation, Subjectivity, and the History of Rhetoric and Sexual Violence in Western Thought and Writing: Chaste Rape GREGORY L. ULMER is Professor of English and Media Studies at the University of Florida, where he teaches courses in Hypermedia, E-Lit, and Heuretics. He is also the Joseph Bueys Chair in the European Graduate School, Saas-Fee, Switzerland. Ulmer's books include Applied Grammatology (1985), Teletheory (1989), Heuretics (1994), Internet Invention (2003), Electronic Monuments (2005), and Miami Virtue (2011

Inverse problems such as imaging or parameter identification deal with the recovery of unknown quantities from indirect observations, connected via a model describing the underlying context. While traditionally inverse problems are formulated and investigated in a static setting, we observe a significant increase of interest in time-dependence in a growing number of important applications over the last few years. Here, time-dependence affects a) the unknown function to be recovered and / or b) the observed data and / or c) the underlying process. Challenging applications in the field of imaging and parameter identification are techniques such as photoacoustic tomography, elastography, dynamic computerized or emission tomography, dynamic magnetic resonance imaging, super-resolution in image sequences and videos, health monitoring of elastic structures, optical flow problems or magnetic particle imaging to name only a few. Such problems demand for innovation concerning their mathematical description and analysis as well as computational approaches for their solution.

The nonequilibrium behavior of nanoscopic and biological systems, which are typically strongly fluctuating, is a major focus of current research. Lately, much progress has been made in understanding such systems from a thermodynamic perspective. However, new theoretical challenges emerge when the fluctuating system is additionally subject to time delay, e.g. due to the presence of feedback loops. This thesis advances this young and vibrant research field in several directions. The first main contribution concerns the probabilistic description of time-delayed systems; e.g. by introducing a versatile approximation scheme for nonlinear delay systems. Second, it reveals that delay can induce intriguing thermodynamic properties such as anomalous (reversed) heat flow. More generally, the thesis shows how to treat the thermodynamics of non-Markovian systems by introducing auxiliary variables. It turns out that delayed feedback is inextricably linked to nonreciprocal coupling, information flow, and to net energy input on the fluctuating level.

Kansei Engineering and Soft Computing: Theory and Practice offers readers a comprehensive review of kansei engineering, soft computing techniques, and the fusion of these two fields from a variety of viewpoints. It explores traditional technologies, as well as solutions to real-world problems through the concept of kansei and the effective utilization of soft computing techniques. This publication is an essential read for professionals, researchers, and students in the field of kansei information processing and soft computing providing both theoretical and practical viewpoints of research in humanized technology.