This text provides guidelines to develop tools for smart processing of knowledge and information. It uses cutting-edge ideas, recent research, and case studies to explore the complexities and challenges of modern knowledge management issues.

Researchers and professionals in the relevant fields will find this book a must-read, as it defines the leading edge of current research into conceptual structures. It constitutes the refereed proceedings of the 15th International Conference on Conceptual Structures, held in Sheffield, UK in July 2007. With almost 50 papers contained in its 500 pages, it includes a special focus on the application of conceptual structures in business and technological settings and is organized into topical sections for ease of reference.

. . . the editors have done a good job of bringing together a series of contributions which provide a useful and welcome expansion of the theoretical foundations of talent management through a knowledge management lens. David Collings, Personnel Review This book takes a fresh look at human talent in organizations, focusing on employees at all levels who represent key agents of knowledge management in acquiring, transferring, and applying important knowledge for competitive advantage. The overarching aim of the book is to identify, define, and explore the implementation of talent management strategies aimed at facilitating effective knowledge management in an organization. The contributors provide a valuable fusion of two important areas of emphasis for current research and practice in human resource management: talent management and knowledge management. They illustrate the immense significance of the latter to competitive advantage and organizational success in our rapidly changing global knowledge-based economy. The generation and acquisition of ideas and knowledge, their internal transfer and application throughout the organization, and the cross-border transfer of knowledge all through the effective management of human talent have become integral to contemporary management. The contributors examine planning and staffing, training/coaching, performance management, and organizational learning and development. Academics, human resource management practitioners and management consultants will find this volume valuable.

This book explores the latest research trends in intelligent systems and smart applications. It presents high-quality empirical and review studies focusing on various topics, including information systems and software engineering, knowledge management, technology in education, emerging technologies, and social networks. It provides insights into the theoretical and practical aspects of intelligent systems and smart applications.

This book highlights the developments, discoveries, and practical and advanced experiences related to responsive distributed computing and how it can support the deployment of trajectory-based applications in smart systems. Smart Trajectories: Metamodeling, Reactive Architecture for Analytics and Smart Applications deals with the representation and manipulation of smart trajectories in various applications and scenarios. Presented in three parts, the book first discusses the foundation and principles for spatial information systems, complex event processing, and building a reactive architecture. Next, the book discusses modeling and architecture in relation to smart trajectory metamodeling, mining and big trajectory data, and clustering trajectories. The final section discusses advanced applications and trends in the field, including congestion trajectory analytics and real-time Big Data analytics in cloud ecosystems. Metamodeling, distributed architectures, reactive programming, Big Data analytics, NoSQL databases, connected objects, and edge-fog-cloud computing form the basis of the concepts and applications discussed. The book also presents a number of case studies to demonstrate smart trajectories related to spatiotemporal events such as traffic congestion and pedestrian accidents. This book is intended for graduate students in computer engineering, spatial databases, complex event processing, distributed systems, and geographical information systems (GIS). The book will also be useful for practicing traffic engineers, city managers, and environmental engineers interested in monitoring and security analysis.

Zur Kapazitätserhöhung in zellularen Mobilfunksystemen eignet sich der Einsatz adaptiver Antennen an der Basisstation. Diese ermöglichen die räumliche Wiederverwendung von Kanälen innerhalb einer Zelle mittels Space Division Multiple Access (SDMA). Die Kapazitätsgewinne, die mit SDMA zu erzielen sind, hängen jedoch stark von den verwendeten Verfahren des Ressourcen Managements (RM) ab. Hierzu wurden neuartige RM-Verfahren für SDMA-Systeme entwickelt, welche die räumliche Kanalwiederverwendung innerhalb der Zelle mit verschiedenen Prinzipien der interzellularen Kanalvergabe (statische und dynamische) kombinieren. Zudem wurden die entwickelten Verfahren erweitert, um auch in hierarchisch strukturierten zellularen Netzen eingesetzt werden zu können. In ausführlichen Systemsimulationen konnte gezeigt werden, dass die neuen RM-Verfahren eine Vervielfachung der Systemkapazität mit Hilfe von SDMA ermöglichen. Zusätzlich werden analytische Modelle entwickelt und ausgewertet, die den Gewinn von Verfahren vorhersagen, welche die durch die Verwendung adaptiver Antennen reduzierte Inter-Zell-Interferenz ausnutzen (Spatial Filtering for Interference Reduction-SFIR), dies wird sowohl für F/TDMA basierte Systeme als auch für CDMA Systeme analysiert.

This book reports on original research and practical findings fostering sustainable and smart urban mobility transformation. Gathering contributions presented at the 6th Conference on Sustainable Urban Mobility, held from August 31 to September 2, 2022, on Skiathos Island, Greece, it covers topics relating to electric and clean energy, intelligent technologies and automation, green travel modes, and transport safety. It highlights solutions for inclusive transportation, sustainable and resilient supply chains, and describes novel strategies for urban planning and innovative transport infrastructure. This book offers extensive information to academicians, researchers, practitioners and decision makers working on effective strategies to transform urban mobility in a sustainable and equitable way.

This book highlights the use of information and communication technology (ICT) infrastructures in order to develop smart cities and produce smart economies in Africa. It discusses a robust set of concepts, including smart planning, smart infrastructure development, smart economic development, smart environmental sustainability, smart social development, resilience, and smart peace and security in several African cities. By drawing on the accumulated knowledge on various conditions that make cities smart, green, livable and healthy, it helps in the planning, design and management of African urbanization. In turn, it fosters the development of e-commerce, e-education, e-governance, etc. The rapid development of ICT infrastructures facilitates the creation of smart economies in digitally served cities and towns through smart urban planning, smart infrastructures, smart land tenure and smart urban policies. In the long term, this can reduce emissions of CO2, promote the creation of low carbon cities, reduce land degradation and promote biodiversity.

With a focus on cargo transportation, this book addresses the development of approaches intended to secure an infrastructure of smart services to support the adaptive implementation of online multi-modal freight transport management processes. It discusses the development of multi-criteria decision-making components and their integration into the multi-layered computer-based information management of intelligent systems. Through detailed descriptions of various components of intelligent transport management systems, the book demonstrates how to develop the services needed in the right place and at the right time, and how to properly adapt to user needs, making necessary interventions to ensure the safety of the transportation process. Further, it describes the main ways to increase the autonomy and efficiency of user-vehicle interaction and shows how Information and Communications Technology (ICT) structural support for current and past situations in AI-based systems can help to anticipate future developments in freight transportation.