This book constitutes the thoroughly refereed post-conference proceedings of the 5th International Conference on Smart Cities and Green ICT Systems, SMARTGREENS 2017, and the Third International Conference on Vehicle ...
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ISBN:
(数字)9783030029074
ISBN:
(纸本)9783030029067
This book constitutes the thoroughly refereed post-conference proceedings of the 5th International Conference on Smart Cities and Green ICT Systems, SMARTGREENS 2017, and the Third International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS 2017, held in Porto, Portugal in April 2017.;The 8 full papers of SMARTGREENS 2017 presented were carefully reviewed and selected from 70 submissions. VEHITS 2017 received 77 paper submissions from which 9 papers were selected and published in this book. The papers reflect topics such as smart cities, energy-aware systems and technologies, sustainable computing and communications, sustainable transportation and smart mobility.
Artificial Intelligence (AI) is transforming industries, offering new opportunities to manage and enhance innovation. However, these advancements bring significant challenges for scientists and businesses, with one of...
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Artificial Intelligence (AI) is transforming industries, offering new opportunities to manage and enhance innovation. However, these advancements bring significant challenges for scientists and businesses, with one of the most critical being the ‘trustworthiness” of AI systems. A key requirement of trustworthiness is transparency, closely linked to explicability. Consequently, the exponential growth of eXplainable AI (XAI) has led to the development of numerous methods and metrics for explainability. Nevertheless, this has resulted in a lack of standardized and formal definitions for fundamental XAI properties (e.g., what do soundness, completeness, and faithfulness of an explanation entail? How is the stability of an XAI method defined?). This lack of consensus makes it difficult for XAI practitioners to establish a shared foundation, thereby impeding the effective benchmarking of XAI methods. This survey paper addresses these challenges with two primary objectives. First, it systematically reviews and categorizes XAI properties, distinguishing them between human-centered (relying on empirical studies involving explainees) or functionally-grounded (quantitative metrics independent of explainees). Second, it expands this analysis by introducing a hierarchically structured, functionally grounded benchmark framework for XAI methods, providing formal definitions of XAI properties. The framework’s practicality is demonstrated by applying it to two widely used methods: LIME and SHAP.
Connected Autonomous Vehicle (CAV) Driving, as a data-driven intelligent driving technology within the Internet of Vehicles (IoV), presents significant challenges to the efficiency and security of real-time data manag...
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Connected Autonomous Vehicle (CAV) Driving, as a data-driven intelligent driving technology within the Internet of Vehicles (IoV), presents significant challenges to the efficiency and security of real-time data management. The combination of Web3.0 and edge content caching holds promise in providing low-latency data access for CAVs’ real-time applications. Web3.0 enables the reliable pre-migration of frequently requested content from content providers to edge nodes. However, identifying optimal edge node peers for joint content caching and replacement remains challenging due to the dynamic nature of traffic flow in IoV. Addressing these challenges, this article introduces GAMA-Cache, an innovative edge content caching methodology leveraging Graph Attention Networks (GAT) and Multi-Agent Reinforcement Learning (MARL). GAMA-Cache conceptualizes the cooperative edge content caching issue as a constrained Markov decision process. It employs a MARL technique predicated on cooperation effectiveness to discern optimal caching decisions, with GAT augmenting information extracted from adjacent nodes. A distinct collaborator selection mechanism is also developed to streamline communication between agents, filtering out those with minimal correlations in the vector input to the policy network. Experimental results demonstrate that, in terms of service latency and delivery failure, the GAMA-Cache outperforms other state-of-the-art MARL solutions for edge content caching in IoV.
This book provides the foundational aspects of malware attack vectors and appropriate defense mechanisms against malware. The book equips readers with the necessary knowledge and techniques to successfully lower the r...
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ISBN:
(数字)9783031349690
ISBN:
(纸本)9783031349683;9783031349713
This book provides the foundational aspects of malware attack vectors and appropriate defense mechanisms against malware. The book equips readers with the necessary knowledge and techniques to successfully lower the risk against emergent malware attacks. Topics cover protections against malware using machine learning algorithms, Blockchain and AI technologies, smart AI-based applications, automated detection-based AI tools, forensics tools, and much more. The authors discuss theoretical, technical, and practical issues related to cyber malware attacks and defense, making it ideal reading material for students, researchers, and developers.
This book constitutes the proceedings of the 12th International Conference on Web Information Systems engineering, WISE 2011, held in Sydney, Australia, in October 2011.;The 17 revised full papers and 11 revised short...
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ISBN:
(数字)9783642244346
ISBN:
(纸本)9783642244339
This book constitutes the proceedings of the 12th International Conference on Web Information Systems engineering, WISE 2011, held in Sydney, Australia, in October 2011.;The 17 revised full papers and 11 revised short papers presented together with 7 demo papers were carefully reviewed and selected from 96 submissions. The papers contained in these proceedings address challenging issues in software services, Web application engineering and modelling, Web search, social networks, Web semantics, and information retrieval and extraction.
作者：
SHERRILL, WMGREEN, TCTRAVERS, DNWilliam M. Sherrill is Manager
Intercept and Direction Finding Research in the Department of Applied Electromagnetics at Southwest Research Institute San Antonio. He received his M.S. in Physics from Rice University in 1959 and his bachelor degrees in Physics and Mathematics from the University of Texas in 1957. Since joining the staff of Southwest Research Institute in 1959 he has been engaged in Naval shipboard radio direction finding research concentrating on advanced techniques of direction finding using multichannel receivers fixed antennas and the application of digital logic and computation in DF system control. He is a member of the Institute of Electrical and Electronics Engineers IEEE Professional Group on Antennas and Propagation American Astronomical Society and the Scientific Research Society of America. Terry C. Green is a Senior Research Engineer in the Department of Applied Electromagnetics at Southwest Research Institute
San Antonio. He took the B.S. in Electrical Engineering from the University of Texas in 1958 and served as a commissioned officer in the U. S. Air Force from 1958 to 1962. His duties as a USAF officer included experience in military search and tracking radar and electrical support equipment design for high performance fighter aircraft. In 1962 he joined the staff of Southwest Research Institute and has been engaged in high frequency and very high frequency radio direction finding techniques for surface ship and submarine application. He is a member of the IEEE Professional Group on Antennas and Propagation and Sigma Pi Sigma. Douglas N. Travers is Director of the Department of Applied Electromagnetics at Southwest Research Institute
San Antonio. He obtained his B.E. in Electrical Engineering from Johns Hopkins University in 1951 and joined the staff of Southwest Research Institute in 1951. He is the inventor of two antenna systems for high frequency direction finding designed for shipboard application and for the past 15 years has been engaged in direction finding theor
This report summarizes the practical requirements for siting radio direction finders operating in the 3 to 30 mc range and is intended primarily for the use of personnel responsible for site selection and DF antenna i...
This report summarizes the practical requirements for siting radio direction finders operating in the 3 to 30 mc range and is intended primarily for the use of personnel responsible for site selection and DF antenna installation on Naval ships. The effects of reradiation from the ship's superstructure on direction finder performance are described. By the use of specific examples of shipboard installations, the merits of various siting compromises are discussed.
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