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Information Technology in Disaster Risk Reduction: First Ifip Tc 5 Dcdrr International Conference, Itdrr 2016, Sofia, Bulgaria, November 16-18,, 2016, Revised Selected Papers (IFIP Advances in Information and Communication Technology #501)
by Yuko Murayama Dimiter Velev Plamena ZlatevaThis volume constitutes the refereed post-conference proceedings of the Second IFIP TC 5 DCITDRR International Conference on Information Technology in Disaster Risk Reduction, ITDRR 2017, held in Sofia, Bulgaria, in October 2017. <P><P> The 16 revised full papers presented were carefully reviewed and selected from 43 submissions. The papers focus on various aspects and challenges of coping with disaster risk reduction. The main topics include areas such as natural disasters, big data, cloud computing, Internet of Things, mobile computing, emergency management, disaster information processing, and disaster risk assessment and management.
Information Technology in Disaster Risk Reduction: Third IFIP TC 5 DCITDRR International Conference, ITDRR 2018, Held at the 24th IFIP World Computer Congress, WCC 2018, Poznan, Poland, September 20–21, 2018, Revised Selected Papers (IFIP Advances in Information and Communication Technology #550)
by Yuko Murayama Dimiter Velev Plamena ZlatevaThis volume constitutes the refereed post-conference proceedings of the Third IFIP TC 5 DCITDRR International Conference on Information Technology in Disaster Risk Reduction, ITDRR 2018, held as part of the 24th IFIP World Computer Congress, WCC 2018, in Poznan, Poland, in September 2018.The 12 revised full papers presented were carefully reviewed and selected from 32 submissions. The papers focus on various aspects and challenges of coping with disaster risk reduction. The main topics include areas such as natural disasters, big data, cloud computing, Internet of Things, mobile computing, emergency management, disaster information processing, and disaster risk assessment and management.
Information Technology in Disaster Risk Reduction: 4th IFIP TC 5 DCITDRR International Conference, ITDRR 2019, Kyiv, Ukraine, October 9–10, 2019, Revised Selected Papers (IFIP Advances in Information and Communication Technology #575)
by Yuko Murayama Dimiter Velev Plamena ZlatevaThis volume constitutes the refereed and revised post-conference proceedings of the 4th IFIP TC 5 DCITDRR International Conference on Information Technology in Disaster Risk Reduction, ITDRR 2019, in Kyiv, Ukraine, in October 2019. The 17 full papers and 2 short papers presented were carefully reviewed and selected from 53 submissions. The papers focus on various aspects and challenges of coping with disaster risk reduction. The main topics include areas such as natural disasters, big data, cloud computing, Internet of Things, mobile computing, emergency management, disaster information processing, and disaster risk assessment and management.
Information Technology in Disaster Risk Reduction: 5th IFIP WG 5.15 International Conference, ITDRR 2020, Sofia, Bulgaria, December 3–4, 2020, Revised Selected Papers (IFIP Advances in Information and Communication Technology #622)
by Yuko Murayama Dimiter Velev Plamena ZlatevaThis volume constitutes the refereed and revised post-conference proceedings of the 5th IFIP WG 5.15 International Conference on Information Technology in Disaster Risk Reduction, ITDRR 2020, in Sofia, Bulgaria, in December 2020.* The 18 full papers and 6 short papers presented were carefully reviewed and selected from 52 submissions. The papers focus on various aspects and challenges of coping with disaster risk reduction. The main topics include areas such as natural disasters, remote sensing, big data, cloud computing, Internet of Things, mobile computing, emergency management, disaster information processing, disaster risk assessment and management. *The conference was held virtually.
Information Technology in Disaster Risk Reduction: 6th IFIP WG 5.15 International Conference, ITDRR 2021, Morioka, Japan, October 25–27, 2021, Revised Selected Papers (IFIP Advances in Information and Communication Technology #638)
by Jun Sasaki Yuko Murayama Dimiter Velev Plamena ZlatevaThis volume constitutes the refereed and revised post-conference proceedings of the 6th IFIP WG 5.15 International Conference on Information Technology in Disaster Risk Reduction, ITDRR 2021, in Morioka, Japan, in October 2021. The 11 full papers presented were carefully reviewed and selected from 18 submissions. The papers focus on various aspects and challenges of coping with disaster risk reduction. The papers are categorized in the following topical subheadings: Information Analysis for Situation Awareness; Evacuation and Rescue; COVID-19 Issues; and IT Use for Risk and Disaster Management.
Information Technology in Educational Research and Statistics
by D Lamont Johnson Cleborne D Maddux Leping LiuThis important book focuses on creating new ideas for using educational technologies such as the Internet, the World Wide Web, and various software packages to further research and statistics. You will explore on-going debates relating to the theory of research, research methodology, and successful practices. Information Technology in Educational Research and Statistics also covers the debate on what statistical procedures are appropriate for what kinds of research designs.
Information Technology in Environmental Engineering
by Burkhardt Funk Peter Niemeyer Jorge Marx GómezInformation technologies have evolved to an enabling science for natural resource management and conservation, environmental engineering, scientific simulation and integrated assessment studies. Computing plays a significant role in the every day practices of environmental engineers, natural scientists, economists, and social scientists. The complexity of natural phenomena requires interdisciplinary approaches, where computing science offers the infrastructure for environmental data collection and management, scientific simulations, decision support, documentation and reporting. Ecology, environmental engineering and natural resource management comprise an excellent real-world testbed for IT system demonstration, while presenting new challenges for computer science Complexity, uncertainty and scaling issues of natural systems constitute a demanding application domain for modelling, simulation and scientific workflows, data management and reporting, decision support and intelligent systems, distributed computing environments, geographical information systems, heterogeneous systems integration, software engineering, accounting systems, control systems, as well as sustainable manufacturing and reverse logistics. This books offers a collection of papers presented at the 6th International Conference on Environmental Engineering, held in July 2013, in Lüneburg, Germany. Recent success stories in ecoinformatics, promising ideas and new challenges are discussed among computer scientists, environmental engineers, industrial engineers, economists and social scientists, demonstrating new paradigms for problem solving and decision making.
Information Technology in Environmental Engineering
by Jorge Marx Gómez Brenda ScholtzThis book presents new concepts as well as practical applications and experiences in the field of information technology for environmental engineering. The book has three main focus areas: firstly, it shows how information technologies can be employed to support natural resource management and conservation, environmental engineering, scientific simulation and integrated assessment studies. Secondly, it demonstrates the application of computing in the everyday practices of environmental engineers, natural scientists, economists and social scientists. And thirdly, it demonstrates how the complexity of natural phenomena can be approached using interdisciplinary methods, where computer science offers the infrastructure needed for environmental data collection and management, scientific simulations, decision support documentation and reporting. The book collects selected papers presented at the 7th International Symposium on Environmental Engineering, held in Port Elizabeth, South Africa in July 2015. It discusses recent success stories in eco-informatics, promising ideas and new challenges from the interdisciplinary viewpoints of computer scientists, environmental engineers, economists and social scientists, demonstrating new paradigms for problem-solving and decision-making.
Information Technology in Fisheries and Aquaculture
by Parvaiz Ahmad Ganie Ravindra Posti Pramod Kumar PandeyThis book connects information technology (IT) to the fisheries and aquaculture sectors. The topics covered in the book explore the diverse ways in which IT contributes to promoting sustainable practices and efficient management in aquatic environments. From examining current challenges through a technological lens to investigating advanced applications like Internet of Things (IoT), remote sensing and machine learning, the book covers a wide range of themes. The chapters address crucial aspects such as precision nutrition, disease management, environmental monitoring and the economic effects of adopting IT. It also bridges the gap between traditional aquaculture practices and the transformative potential of information technology. This book serves as a reference for researchers, practitioners, policymakers and students in the field of fisheries and aquaculture
Information Technology in Medical Diagnostics III: Metrological Aspects of Biomedical Research
by Waldemar WójcikThe science of biomedical measurements is experiencing a period of rapid development. Biomedical measuring systems are becoming increasingly accurate on the one hand and complex on the other. In order to make progress in this field, metrological problems must be solved using a systemic and formal approach. To this end, it is necessary to define the components of the system and the rules for their interaction, which allows the creation of a mathematical model. In this way, any technology or object can be presented in the form of a structure on which the necessary estimates can be formulated and synthesis, including metrological one, can be made. The authors have observed that despite the significance of the problem, few scientific centres deal with this issue in a generalised manner. Hence the idea of bringing together the achievements of the centres from Russia, Poland and Kazakhstan in one joint publication. The first and second volumes of Information Technology in Medical Diagnostics found readers not only in Poland, Ukraine, and Kazakhstan but also Spain, Russia and the Czech Republic. Following the readers’ suggestions, in the third volume of ITMD we returned to the formula of closed chapters known from volume one. Due to its limited volume, the book deals with the aforementioned issues in only selected areas of biomedical engineering. The book will be of interest not only for academics and engineers but also for professionals involved in biomedical engineering, seeking solutions for the problems that cannot be solved using "traditional" technologies or trying to improve existing measurement systems.
Information Technology (IT)-Based Educational Materials: Workshop Report with Recommendations
by Committee on Achieving Compatibility in IT-Based Educational MaterialsIn the last half-century, we have witnessed the birth and development of a new era: the information age. Information Technology (IT), the primary vehicle of the information age, has transformed the modern workplace and is pervasive in the development of new knowledge and wealth. IT has also dramatically influenced our capacity to educate. Yet, the application of IT in education has been disorganized and uneven. Pockets of innovation in localized environments are thriving, but the promise of open access, greatly enhanced teaching and learning, and large-scale use has not been realized. IT-Based Educational Materials: Workshop Report with Recommendations identifies critical components that support the development and use of IT-based educational materials. The report points to three high priority action areas that would produce a transitional strategy from our fragmented environment to an IT-transformed future in engineering education--Build Community; Create Organizational Enablers; and Coordinate Action. The report outlines six recommendations, including a call to establish a national laboratory to carry out evidenced-based investigations and other activities to insure interoperability and effective teaching and learning. The report stresses the need to pursue open architectures and to engage multidisciplinary researchers, including social scientists and others who address the transformation of faculty cultures. The report also discusses the need to engage users and developers of the IT-products in activities that are driven by student learning outcomes.
Information Technology - New Generations
by Shahram LatifiThis volume presents a collection of peer-reviewed, scientific articles from the 14th International Conference on Information Technology - New Generations, held at the University of Nevada at Las Vegas on April 10-12, at Tuscany Suites Hotel in Las Vegas. The Book of Chapters addresses critical areas of information technology including web technology, communications, computing architectures, software engineering, security, and data mining.
Information Technology - New Generations: 14th International Conference On Information Technology (Advances In Intelligent Systems And Computing #558)
by Shahram LatifiThis volume presents a collection of peer-reviewed, scientific articles from the 15th International Conference on Information Technology – New Generations, held at Las Vegas. The collection addresses critical areas of Machine Learning, Networking and Wireless Communications, Cybersecurity, Data Mining, Software Engineering, High Performance Computing Architectures, Computer Vision, Health, Bioinformatics, and Education.
Information Technology Project Management: Providing Measurable Organizational Value
by Jack MarchewkaThe 5th Edition of Jack Marchewka's Information Technology Project Management focuses on how to create measurable organizational value (MOV) through IT projects. The author uses the concept of MOV, combined with his own research, to create a solid foundation for making decisions throughout the project's lifecycle. <p><p> The book's integration of project management and IT concepts provides students with the tools and techniques they need to develop in this field.
INFORMATION TECHNOLOGY RESEARCH, INNOVATION, and E-Government
by Committee on Computing Communications Research to Enable Better Use of Information Technology in GovernmentGovernments have done much to leverage information technology to deploy e-government services, but much work remains before the vision of e-government can be fully realized. Information Technology Research, Innovation, and E-government examines the emerging visions for e-government, the technologies required to implement them, and approaches that can be taken to accelerate innovation and the transition of innovative information technologies from the laboratory to operational government systems. In many cases, government can follow the private sector in designing and implementing IT-based services. But there are a number of areas where government requirements differ from those in the commercial world, and in these areas government will need to act on its role as a “demand leader.” Although researchers and government agencies may appear to by unlikely allies in this endeavor, both groups have a shared interest in innovation and meeting future needs.E-government innovation will require addressing a broad array of issues, including organization and policy as well as engineering practice and technology research and development, and each of these issues is considered in the book.
Information Technology Risk Management in Enterprise Environments
by Jake Kouns Daniel MinoliDiscusses all types of corporate risks and practical means of defending against them.Security is currently identified as a critical area of Information Technology management by a majority of government, commercial, and industrial organizations.Offers an effective risk management program, which is the most critical function of an information security program.
Information Technology Science (Advances In Intelligent Systems And Computing #724)
by Tatiana Antipova Álvaro RochaThis book includes a selection of articles from the 2017 International Conference on Information Technology Science (MosITS’17), held on December 1-3, 2017, at the Izmailovo Convention Centre, Moscow, Russia.MosITS’17 was an international forum for researchers and practitioners to present and discuss the most recent innovations, trends, results, experiences and concerns in various areas of information technology science.The papers cover topics such as information technology in communication, management science, public administration, economics, business & finance, history, health & rehabilitation, education, and in architecture.
Information Technology Security: Modern Trends and Challenges (Springer Tracts in Electrical and Electronics Engineering)
by Debasis Gountia Dilip Kumar Dalei Subhankar MishraThis book focuses on current trends and challenges in security threats and breaches in cyberspace which have rapidly become more common, creative, and critical. Some of the themes covered include network security, firewall security, automation in forensic science and criminal investigation, Medical of Things (MOT) security, healthcare system security, end-point security, smart energy systems, smart infrastructure systems, intrusion detection/prevention, security standards and policies, among others. This book is a useful guide for those in academia and industry working in the broad field of IT security.
Information Technology Security and Risk Management: Inductive Cases for Information Security
by Stephen C. Wingreen Amelia SamandariInformation Technology Security and Risk Management: Inductive Cases for Information Security is a compilation of cases that examine recent developments and issues that are relevant to IT security managers, risk assessment and management, and the broader topic of IT security in the 21st century. As the title indicates, the cases are written and analyzed inductively, which is to say that the authors allowed the cases to speak for themselves, and lead where they would, rather than approach the cases with presuppositions or assumptions regarding what the case should be "about". In other words, the authors were given broad discretion to interpret a case in the most interesting and relevant manner possible; any given case may be "about" many things, depending on the perspective adopted by the reader, and many different lessons may be learned. The inductive approach of these cases reflects the design philosophy of the advanced IT Security and Risk Management course we teach on the topic here at the University of Canterbury, where all discussions begin with the analysis of a specific case of interest and follow the most interesting and salient aspects of the case in evidence. In our course, the presentation, analysis, and discussion of a case are followed by a brief lecture to address the conceptual, theoretical, and scholarly dimensions arising from the case. The inductive approach to teaching and learning also comes with a huge advantage – the students seem to love it, and often express their appreciation for a fresh and engaging approach to learning the sometimes-highly-technical content of an IT security course. As instructors, we are also grateful for the break in the typical scripted "chalk-and-talk" of a university lecture afforded by the spontaneity of the inductive approach.We were motivated to prepare this text because there seems to be no other book of cases dedicated to the topic of IT security and risk management, and because of our own success and satisfaction with inductive teaching and learning. We believe this book would be useful either for an inductive, case-based course like our own or as a body of cases to be discussed in a more traditional course with a deductive approach. There are abstracts and keywords for each case, which would help instructors select cases for discussions on specific topics, and PowerPoint slides are available as a guide for discussion about a given case.
An Information Technology Surrogate for Religion: The Veneration of Deceased Family in Online Games
by William Sims BainbridgeThis book demonstrates principles of Ancestor Veneration Avatars (AVAs), by running avatars based on eleven deceased members of one family through ten highly diverse virtual worlds from the violent Defiance to the intellectual Uru: Myst Online, from the early EverQuest to the recent Elder Scrolls Online.
Information Technology, Systems Research, and Computational Physics (Advances in Intelligent Systems and Computing #945)
by Piotr Kulczycki Janusz Kacprzyk László T. Kóczy Radko Mesiar Rafal WisniewskiThis book highlights a broad range of modern information technology tools, techniques, investigations and open challenges, mainly with applications in systems research and computational physics. Divided into three major sections, it begins by presenting specialized calculation methods in the framework of data analysis and intelligent computing. In turn, the second section focuses on application aspects, mainly for systems research, while the final section investigates how various tasks in the basic disciplines—mathematics and physics—can be tackled with the aid of contemporary IT methods. The book gathers selected presentations from the 3rd Conference on Information Technology, Systems Research and Computational Physics (ITSRCP'18), which took place on 2–5 July 2018 in Krakow, Poland. The intended readership includes interdisciplinary scientists and practitioners pursuing research at the interfaces of information technology, systems research, and computational physics.
Information-Theoretic Aspects of Neural Networks
by P. S. NeelakantaInformation theoretics vis-a-vis neural networks generally embodies parametric entities and conceptual bases pertinent to memory considerations and information storage, information-theoretic based cost-functions, and neurocybernetics and self-organization. Existing studies only sparsely cover the entropy and/or cybernetic aspects of neural information.Information-Theoretic Aspects of Neural Networks cohesively explores this burgeoning discipline, covering topics such as:Shannon information and information dynamicsneural complexity as an information processing systemmemory and information storage in the interconnected neural webextremum (maximum and minimum) information entropyneural network trainingnon-conventional, statistical distance-measures for neural network optimizationssymmetric and asymmetric characteristics of information-theoretic error-metricsalgorithmic complexity based representation of neural information-theoretic parametersgenetic algorithms versus neural informationdynamics of neurocybernetics viewed in the information-theoretic planenonlinear, information-theoretic transfer function of the neural cellular unitsstatistical mechanics, neural networks, and information theorysemiotic framework of neural information processing and neural information flowfuzzy information and neural networksneural dynamics conceived through fuzzy information parametersneural information flow dynamicsinformatics of neural stochastic resonanceInformation-Theoretic Aspects of Neural Networks acts as an exceptional resource for engineers, scientists, and computer scientists working in the field of artificial neural networks as well as biologists applying the concepts of communication theory and protocols to the functioning of the brain. The information in this book explores new avenues in the field and creates a common platform for analyzing the neural complex as well as artificial neural networks.
Information-Theoretic Evaluation for Computational Biomedical Ontologies
by Wyatt Travis ClarkThe development of effective methods for the prediction of ontological annotations is an important goal in computational biology, yet evaluating their performance is difficult due to problems caused by the structure of biomedical ontologies and incomplete annotations of genes. This work proposes an information-theoretic framework to evaluate the performance of computational protein function prediction. A Bayesian network is used, structured according to the underlying ontology, to model the prior probability of a protein's function. The concepts of misinformation and remaining uncertainty are then defined, that can be seen as analogs of precision and recall. Finally, semantic distance is proposed as a single statistic for ranking classification models. The approach is evaluated by analyzing three protein function predictors of gene ontology terms. The work addresses several weaknesses of current metrics, and provides valuable insights into the performance of protein function prediction tools.
Information Theoretic Learning
by Jose C. PrincipeThis book presents the first cohesive treatment of Information Theoretic Learning (ITL) algorithms to adapt linear or nonlinear learning machines both in supervised or unsupervised paradigms. ITL is a framework where the conventional concepts of second order statistics (covariance, L2 distances, correlation functions) are substituted by scalars and functions with information theoretic underpinnings, respectively entropy, mutual information and correntropy. ITL quantifies the stochastic structure of the data beyond second order statistics for improved performance without using full-blown Bayesian approaches that require a much larger computational cost. This is possible because of a non-parametric estimator of Renyi's quadratic entropy that is only a function of pairwise differences between samples. The book compares the performance of ITL algorithms with the second order counterparts in many engineering and machine learning applications. Students, practitioners and researchers interested in statistical signal processing, computational intelligence, and machine learning will find in this book the theory to understand the basics, the algorithms to implement applications, and exciting but still unexplored leads that will provide fertile ground for future research.
Information Theoretic Principles for Agent Learning (Synthesis Lectures on Engineering, Science, and Technology)
by Jerry D. GibsonThis book provides readers with the fundamentals of information theoretic techniques for statistical data science analyses and for characterizing the behavior and performance of a learning agent outside of the standard results on communications and compression fundamental limits. Readers will benefit from the presentation of information theoretic quantities, definitions, and results that provide or could provide insights into data science and learning.