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Knowledge and Civil Society
Focuses on the role of civil society in the creation, dissemination, and interpretation of knowledge in geographical contexts. It offers original, interdisciplinary and counterintuitive perspectives on civil society. The book includes reflections on civil and uncivil society, the role of civil society as a change agent, and on civil society perspectives of undone science. Conceptual approaches go beyond the tripartite division of public, private and civic sectors to propose new frameworks of civic networks and philanthropic fields, which take an inclusive view of the connectivity of civic agency across sectors.
Knowledge and Action
Explores interdependencies between knowledge, action, and space from different interdisciplinary perspectives. Some of the contributors discuss knowledge as a social construct based on collective action, while others look at knowledge as an individual capacity for action. The chapters contain theoretical frameworks as well as experimental outcomes.
JDBC Recipes : A Problem-Solution Approach
JDBC Recipes provides easy-to-implement, usable solutions to problems in relational databases that use JDBC. You will be able to integrate these solutions into your web-based applications, such as Java servlets, JavaServer Pages, and Java server-side frameworks. This handy book allows you to cut and paste the solutions without any code changes. This book focuses on topics that have been ignored in most other JDBC books, such as database and result set metadata. It will help you develop database solutions, like adapters, connectors, and frameworks using Java/JDBC. The insightful solutions will enable you to handle all data types, including large binary objects. A unique feature of the book is that it presents JDBC solutions (result sets) in XML.
IT Security Controls : A Guide to Corporate Standards and Frameworks
Gives an overview of the major standards and frameworks, and a proposed architecture to meet them. The book identifies and describes the necessary controls and processes that must be implemented in order to secure your organization's infrastructure. The book proposes a comprehensive approach to the implementation of IT security controls with an easily understandable graphic implementation proposal to comply with the most relevant market standards (ISO 27001, NIST, PCI-DSS, and COBIT) and a significant number of regulatory frameworks from central banks across the World (European Union, Switzerland, UK, Singapore, Hong Kong, India, Qatar, Kuwait, Saudi Arabia, Oman, etc.). You will learn: Understand corporate IT security controls, including governance, policies, procedures, and security awareness Know cybersecurity and risk assessment techniques such as penetration testing, red teaming, compliance scans, firewall assurance, and vulnerability scans Understand technical IT security controls for unmanaged and managed devices, and perimeter controls Implement security testing tools such as steganography, vulnerability scanners, session hijacking, intrusion detection, and more
Component-Based Software Testing with UML
Component-based software development regards software construction in terms of conventional engineering disciplines where the assembly of systems from readily-available prefabricated parts is the norm. Because both component-based systems themselves and the stakeholders in component-based development projects are different from traditional software systems, component-based testing also needs to deviate from traditional software testing approaches. Gross first describes the specific challenges related to component-based testing like the lack of internal knowledge of a component or the usage of a component in diverse contexts. He argues that only built-in contract testing, a test organization for component-based applications founded on building test artifacts directly into components, can prevent catastrophic failures like the one that caused the now famous ARIANE 5 crash in 1996. This book is the first comprehensive treatment of the intricacies of testing component-based software systems. With its strong modeling background, it appeals to researchers and graduate students specializing in component-based software engineering. Professionals architecting and developing component-based systems will profit from the UML-based methodology and the implementation hints based on the XUnit and JUnit frameworks.
Component models and systems for grid applications ; Proceedings of the Workshop on Component Models and Systems for Grid Applications held June 26, 2004 in Saint Malo, France.
This first volume of the CoreGRID series addresses such vital issues as the architecture of the Grid, the way software will influence the development of the Grid, and the practical applications of Grid technologies for individuals and businesses alike. Part I of the book, Application-Oriented Designs, focuses on development methodology and how it may contribute to a more component-based use of the Grid. Middleware Architecture, the second part, examines portable Grid engines, hierarchical infrastructures, interoperability, as well as workflow modeling environments. The final part of the book, Communication Frameworks, looks at dynamic self-adaptation, collective operations, and higher-order components. With Component Models and Systems for Grid Applications, editors Vladimir Getov and Thilo Kielmann offer the computing professional and the computing researcher the most informative, up-to-date, and forward-looking thoughts on the fast-growing field of Grid studies.
Comparative Education Research : Approaches and Methods
Approaches and methods in comparative education research are of obvious importance, but do not always receive adequate attention. This book contributes new insights within the longstanding traditions of the field. A particular feature is the focus on different units of analysis. Individual chapters compare places, systems, times, cultures, values, policies, curricula and other units. These chapters are contextualised within broader analytical frameworks which identify the purposes and strengths of the field. The book includes a focus on intra-national as well as cross-national comparisons, and highlights the value of approaching themes from different angles. The book will be of great value not only to producers of comparative education research but also to consumers who wish to understand more thoroughly the parameters and value of the field.
Communications and Discoveries from Multidisciplinary Data
In this book, we aim at urging the development of data-based methods and methodologies for interdisciplinary and creative communications for solving emerging social problems. The reader shall view the direction to combine three methodological frameworks: data mining, data sharing, and communication in the contexts of sciences and businesses.
Case-Based Approximate Reasoning
Case-based reasoning (CBR) has received a great deal of attention in recent years and has established itself as a core methodology in the field of artificial intelligence. The key idea of CBR is to tackle new problems by referring to similar problems that have already been solved in the past. More precisely, CBR proceeds from individual experiences in the form of cases. The generalization beyond these experiences typically relies on a kind of regularity assumption demanding that 'similar problems have similar solutions'. Making use of different frameworks of approximate reasoning and reasoning under uncertainty, notably probabilistic and fuzzy set-based techniques, this book develops formal models of the above inference principle, which is fundamental to CBR. The case-based approximate reasoning methods thus obtained especially emphasize the heuristic nature of case-based inference and aspects of uncertainty in CBR. This way, the book contributes to a solid foundation of CBR which is grounded on formal concepts and techniques from the aforementioned fields. Besides, it establishes interesting relationships between CBR and approximate reasoning, which not only cast new light on existing methods but also enhance the development of novel approaches and hybrid systems.
Capital, Systems, and Objects : The Foundation and Future of Organizations
Provides a set of integrated frameworks—capital, systems, and objects—that transcend managerial or technology hype by focusing on the long-term fundamentals that sustain organizational success. Many organizations are currently addressing two important transformational issues: ecological sustainability and digitization. Sustainability is a goal, an end, and digitization is a process, a means to achieve a goal. This book introduces a flexible model that can be applied to current and future organizational challenges, including sustainability and digitization, because the fundamentals are constant.
Business agility and information technology diffusion ; IFIP TC8 WG 8.6 International working Conference, May 8-11, 2005, Atlanta, Georgia, USA
Addresses issues related to business agility and the diffusion of Information Technology (IT). Success, even survival, in today's business environment has been made complex and difficult by technologically-based competitive pressure. One promising strategy is to be agile and ready to adapt quickly to changes in the environment or market. Such strategy takes shape as an agile software development, agile manufacturing, agile modeling and agile iterations. In contrast, successful IT diffusion is known to be a process that takes time and careful effort. Many IT projects that succeeded in developing a product have subsequently failed in changing the behavior of the target group when diffusion just didn't happen. Therefore this volume responds to the question: What is the relationship between agility and IT diffusion? The book's scope will cover information systems and technology issues, as well as organizational and managerial issues, related to agility and IT diffusion. The planned perspectives include topics such as diffusion of agile methods, enabling business agility with IT, creating agile environments that facilitate diffusion of IT, theories and frameworks for understanding diffusion and agility issues, best practices relating to business agility and IT diffusion, software process improvement and agility, diffusion studies of specific agile technologies, and impacts of diffusion of IT agile methods.
Bio-mechanisms of swimming and flying ; Fluid dynamics, biomimetic robots, and sports science
This book follows "Bio-mechanisms of Animals in Swimming and Flying" published in 2004 including 11 chapters. This time, the book includes 31 chapters on the latest researches into natural autonomous systems and locomotion in both flying and swimming organisms. The area of sports science such as analysis and simulation of human swimming is newly added. The computational frameworks for the modeling, simulation and optimization of animals in swimming and flying demonstrate an important role in the progress of interdisciplinary work in the fields of biology and engineering. An innovative technology is exhibited for the flight of an insect size micro air vehicle. Neuronal science is not only unveiling the locomotion mechanisms of swimming in fish from the aspect of the neuronal activities, but also applied to underwater biomimetic robots. The interdisciplinary works are exhibited in the fields of biology and engineering, yielding real-world benefits in innovative technologies.
Beginning POJOs : Lightweight Java Web development using Plain Old Java Objects in Spring, Hibernate, and Tapestry
Beginning POJOs introduces you to open source lightweight web development using Plain Old Java Objects (POJOs) and the tools and frameworks that enable this. Tier by tier, this book guides you through the construction of complex but lightweight enterprise Java-based web applications. Such applications are centered around several major open source lightweight frameworks, including Spring, Hibernate, Tapestry, and JBoss (including the new lightweight JBoss Seam). This book is ideal if you're new to open source and lightweight Java. You'll learn how to build a complete enterprise Java-based web application from scratch, and how to integrate the different open source frameworks to achieve this goal.
Beginning jOOQ : Learn to Write Efficient and Effective Java-Based SQL Database Operations
Learn to use the jOOQ library to manage SQL database operations in Java and JVM applications. This book walks you through what JOOQ is, how to install and get started with it, and then gets you working with it. You will: Comparing equivalent features between Hibernate, JPA and jOOQ. Unlock the power of your SQL database with high performing, flexible and typesafe SQL queries. Seamlessly work with many different SQL database vendors without changing your code. Effortlessly generate Java code based on the content of your database. Write reactive SQL database access code with R2DBC. Integrating jOOQ into popular frameworks and platforms like Hibernate, Spring boot and Quarkus tools like IDEs. Testing jOOQ-based code with modern integration testing frameworks like TestContainers and Docker. Learn how to safely handle data access code within frameworks like the Java Persistence API (JPA)
Beginning Groovy and Grails : From novice to professional
Web frameworks are playing a major role in the creation of today's most compelling web applications, because they automate many of the tedious tasks, allowing developers to instead focus on providing users with creative and powerful features. Java developers have been particularly fortunate in this area, having been able to take advantage of Grails, an open source framework that supercharges productivity when building Java–driven web sites. Grails is based on Groovy, which is a very popular and growing dynamic scripting language for Java developers and was inspired by Python, Ruby, and Smalltalk.
Beginning deep learning with TensorFlow : Work with Keras, MNIST data sets, and advanced neural networks
Stats with an introduction to AI, where you’ll learn the history of neural networks and what sets deep learning apart from other varieties of machine learning. Discovery the variety of deep learning frameworks and set-up a deep learning development environment. Next, you’ll jump into simple classification programs for hand-writing analysis. Once you’ve tackled the basics of deep learning, you move on to TensorFlow 2 specifically. Find out what exactly a Tensor is and how to work with MNIST datasets. Finally, you’ll get into the heavy lifting of programming neural networks and working with a wide variety of neural network types such as GANs and RNNs. Deep Learning is a new area of Machine Learning research widely used in popular applications, such as voice assistant and self-driving cars. Work through the hands-on material in this book and become a TensorFlow programmer! You will: Develop using deep learning algorithms Build deep learning models using TensorFlow 2 Create classification systems and other, practical deep learning applications
Bayesian Networks and Decision Graphs
Probabilistic graphical models and decision graphs are powerful modeling tools for reasoning and decision making under uncertainty. As modeling languages they allow a natural specification of problem domains with inherent uncertainty, and from a computational perspective they support efficient algorithms for automatic construction and query answering. This includes belief updating, finding the most probable explanation for the observed evidence, detecting conflicts in the evidence entered into the network, determining optimal strategies, analyzing for relevance, and performing sensitivity analysis. The book introduces probabilistic graphical models and decision graphs, including Bayesian networks and influence diagrams.It contians two parts. The first part focuses on probabilistic graphical models. Compared with the previous book, the new edition also includes a thorough description of recent extensions to the Bayesian network modeling language, advances in exact and approximate belief updating algorithms, and methods for learning both the structure and the parameters of a Bayesian network. The second part deals with decision graphs, and in addition to the frameworks described in the previous edition, it also introduces Markov decision processes and partially ordered decision problems.
Autonomous driving : Technical, legal and social aspects
This book takes a look at fully automated, autonomous vehicles and discusses many open questions: How can autonomous vehicles be integrated into the current transportation system with diverse users and human drivers? Where do automated vehicles fall under current legal frameworks? What risks are associated with automation and how will society respond to these risks? How will the marketplace react to automated vehicles and what changes may be necessary for companies?
Autonomic communication ; Vol. 3854 : 2nd International IFIP Workshop, WAC 2005, Athens, Greece, October 2-5, 2005, Revised Selected Papers
The Second IFIP Workshop on Autonomic Communication (WAC 2005) took place on October 2–5, 2005, IFIP TC6 provided scientific sponsorship through Working Groups IFIP WG6. 6 (Management of Networks and Distributed Systems) and IFIP WG6. 3 (Performance of Communication Systems). The workshop was organized at a time when the – yet to be well defined – field of autonomic communication (AC) is attracting the interest of both the scientific community and the research funding organizations. The latter is manifested, on one hand, by the numerous recent relevant research exploratory forums, workshop panels, preliminary forward-looking position papers, research outlooks and frameworks and, on the other hand, by the commitment of the FET program of the European Commission in Europe to funding long-term research in this area for the next four years.
Artificial intelligence and data mining approaches in security frameworks
Offers solutions to the problems of security, outlining the concepts behind allowing computers to learn from experience and understand the world in terms of a hierarchy of concepts, with each concept defined through its relation to simpler concepts. provides state of the art approaches of artificial intelligence and data mining in these areas. It includes areas of detection, prediction, as well as future framework identification, development, building service systems and analytical aspects. In all these topics, applications of AI and data mining, such as artificial neural networks, fuzzy logic, genetic algorithm and hybrid mechanisms, are explained and explored. This book is aimed at the modeling and performance prediction of efficient security framework systems, bringing to light a new dimension in the theory and practice. This groundbreaking new volume presents these topics and trends, bridging the research gap on AI and data mining to enable wide-scale implementation. Whether for the veteran engineer or the student, this is a must-have for any library. This groundbreaking new volume: Clarifies the understanding of certain key mechanisms of technology helpful in the use of artificial intelligence and data mining in security frameworks ; Covers practical approaches to the problems engineers face in working in this field, focusing on the applications used every day ; Contains numerous examples, offering critical solutions to engineers and scientists ; Presents these new applications of AI and data mining that are of prime importance to human civilization as a whole
