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New Advances in Building Information Modeling and Engineering Management (Digital Innovations in Architecture, Engineering and Construction)
by Fernanda Rodrigues João Santos Baptista María de las Nieves González GarcíaThis book explores the latest advances in the field of building management. Several chapters use new technologies such as the BIM methodology for collecting life cycle information and managing the maintenance of existing buildings, sharing valid historical and architectural heritage data, energy analysis of building envelopes, and planning new buildings or sustainable building practices. In addition, other tools are presented that focus on improving access to BIM information, open-source governance, mobile applications to accelerate information transfer, the use of blockchain, lean design methods, and open-source software to solve critical path problems. Some contributions feature the assessment of occupational risks in construction, as it is necessary to plan preventive measures based on risk assessments integrated throughout the construction process, which is another important element for the management of this sector.
New Advances in Dependability of Networks and Systems: Proceedings of the Seventeenth International Conference on Dependability of Computer Systems DepCoS-RELCOMEX, June 27 – July 1, 2022, Wrocław, Poland (Lecture Notes in Networks and Systems #484)
by Janusz Kacprzyk Wojciech Zamojski Jacek Mazurkiewicz Jarosław Sugier Tomasz WalkowiakThe book consists of papers on selected topics of dependability analysis in computer systems and networks which were discussed during the 17th DepCoS-RELCOMEX conference held in Wrocław, Poland, from June 27th to July 1st, 2022. Their collection will be an interesting source material for scientists, researchers, practitioners and students who are dealing with design, analysis and engineering of computer systems and networks and must ensure their dependable operation. Being probably the most complex technical systems ever engineered by man (and also, the most dynamically evolving ones), organization of contemporary computer systems and networks cannot be interpreted only as a structure built on the base of unreliable technical resources. Their evaluation must take into account a unique blend of interacting people, networks (together with mobile properties, cloud organization, Internet of Everything, etc.) and a large number of users dispersed geographically and constantly producing an unconceivable number of applications. Research methods being continuously developed for dependability analyses apply newest results of artificial and computational intelligence. Selection of papers in this book illustrates broad range of topics, often multi-disciplinary, which is considered in present-day dependability explorations; it also reveals an increasing role of the latest methods based on machine/deep learning and neural networks in these studies.
New Advances in Designs, Codes and Cryptography: Stinson66, Toronto, Canada, June 13-17, 2022 (Fields Institute Communications #86)
by Charles J. Colbourn Jeffrey H. DinitzThis volume records and disseminates selected papers from the Stinson66 conference, including surveys, prospectives, and papers presenting original and current research. It contains four accessible surveys of topics in combinatorial designs and related topics, ranging from a tutorial survey of connections to classical group theory, to surveys of "hot topics" in current research. It also contains a prospective paper identifying topics for future research efforts, co-authored by one of the elder statesmen of the field, Alex Rosa. Finally, the research papers examine topics ranging from pure mathematics to applied work in computing, networking, communications, and cryptography. For students and newcomers to these topics, the volume provides accessible survey material that does not have onerous prerequisites. The breadth of topics reflects the vibrancy of the field in a way that can be appreciated by all researchers. The papers present important advances on theory and applications,which also benefit advanced researchers.
New Advances in Soft Computing in Civil Engineering: AI-Based Optimization and Prediction (Studies in Systems, Decision and Control #547)
by Gebrail Bekdaş Sinan Melih NigdeliSoft computing applications plays a crucial role in civil engineering applications, with engineers striving to create outstanding designs that prioritize safety, aesthetics, cost-efficiency, and environmental considerations. Advanced optimization techniques are especially valuable for complex systems including multi-constraint problems, multi-objective problems and control problems needing iterative processes in solving differential equations.Throughout history, people have used their creativity to enhance designs in everyday tasks, and this is where metaheuristics come into play, drawing inspiration from nature to develop novel algorithms. These artificial intelligence-based algorithms possess distinctive attributes, and leveraging various features from different algorithms can enhance the effectiveness of optimization, improving precision, computational efficiency, and convergence.This book serves as a timely resource, summarizing the latest advancements in civil engineering optimization, encompassing both metaheuristic approaches and emerging trends that integrates artificial intelligence and machine learning techniques to predict optimal solutions, streamlining lengthy optimization processes.The book's chapters cover a wide range of civil engineering applications, with the primary goal being to introduce fundamental concepts and advanced adaptations. This comprehensive resource is designed to provide undergraduates and graduate engineering students with a solid understanding of materials and content, making it a valuable reference for university courses in various civil engineering disciplines.The book will be edited, and the editors will contribute to most of the chapters. Depending on the availability of high-quality papers, the editors may increase their contributions by sharing recent research projects and postgraduate students' theses.
New Advances in Translation Technology: Applications and Pedagogy (New Frontiers in Translation Studies)
by Defeng Li Yuhong Peng Huihui HuangFrom using machine learning to shave seconds off translations, to using natural language processing for accurate real-time translation services, this book covers all the aspects. The world of translation technology is ever-evolving, making the task of staying up to date with the most advanced methods a daunting yet rewarding undertaking. That is why we have edited this book—to provide readers with an up-to-date guide to the new advances in translation technology. In this book, readers can expect to find a comprehensive overview of all the latest developments in the field of translation technology. Not only that, the authors dive into the exciting possibilities of artificial intelligence in translation, exploring its potential to revolutionize the way languages are translated and understood. The authors also explore aspects of the teaching of translation technology. Teaching translation technology to students is essential in ensuring the future of this field. With advances in technology such as machine learning, natural language processing, and artificial intelligence, it is important to equip students with the skills to keep up with the latest developments in the field. This book is the definitive guide to translation technology and all of its associated potential. With chapters written by leading translation technology experts and thought leaders, this book is an essential point of reference for anyone looking to understand the breathtaking potential of translation technology.
New Advances in the Internet of Things
by Ronald R. Yager Jordán Pascual EspadaThis book presents a selection of highly relevant works concerning the Internet of Things, including: IoT Architectures, Standardization, Smart Cities, Smart Health, the communication of Smart Things, and outstanding IoT use cases. Some of these works present important future lines for the evolution of IoT systems. Thanks to its unique structure, the book allows authors to describe their works at an unprecedented level of detail. The special chapters contain extended versions of prominent and/or high-impact IoT projects that have laid the foundations of many subsequent IoT systems due to their level of innovation, and reflect highly relevant and innovative trends in the development of a new generation of IoT Systems.
New Approaches for Multi-Criteria Analysis in Building Constructions: User-Reporting and Augmented Reality to Support the Investigation
by Luis G. Vargas Valentino Sangiorgio Fabio Fatiguso Francesco FioritoThis book is focused on the challenges of digital transition in building construction, and potential solutions through the use of multi-criteria analysis. It provides clear explanations of proposed approaches from both a theoretical and practical point of view, including augmented reality and user-reporting. New Approaches for Multi-Criteria Analysis in Constructions begins by explaining classic multi-criteria analysis methods, such as Analytic Hierarchy Processes and the Simos-Roy-Figueira method, before moving on to discuss Augmented Reality - Decision Making. This new approach provides a tool to investigate user’s perceptions, and utilises an interactive experience of the real-world environment combined with classic methods to provide a large amount of visual information. Finally, a detailed guide to user-reporting is presented. Offering new possibilities for applying multi-criteria analysis in a simpler, faster and more accessible way, this book supports analysis which considers users experience and perception. Architects, engineers, researchers and practitioners will be able to utilise augmented reality environments, multi-criteria analysis and user reporting for the building design choices, supply selection, maintenance strategies, risk and complex performance assessment.
New Approaches for Multidimensional Signal Processing: Proceedings of International Workshop, NAMSP 2020 (Smart Innovation, Systems and Technologies #216)
by Roumen Kountchev Rumen Mironov Shengqing LiThis book is a collection of papers presented at the International Workshop on New Approaches for Multidimensional Signal Processing (NAMSP 2020), held at Technical University of Sofia, Sofia, Bulgaria, during 09–11 July 2020. The book covers research papers in the field of N-dimensional multicomponent image processing, multidimensional image representation and super-resolution, 3D image processing and reconstruction, MD computer vision systems, multidimensional multimedia systems, neural networks for MD image processing, data-based MD image retrieval and knowledge data mining, watermarking, hiding and encryption of MD images, MD image processing in robot systems, tensor-based data processing, 3D and multi-view visualization, forensic analysis systems for MD images and many more.
New Approaches for Multidimensional Signal Processing: Proceedings of International Workshop, NAMSP 2021 (Smart Innovation, Systems and Technologies #270)
by Kazumi Nakamatsu Roumen Kountchev Rumen MironovThis book comprises a collection of papers presented at the International Workshop on New Approaches for Multidimensional Signal Processing (NAMSP 2021), held at Technical University of Sofia, Sofia, Bulgaria, during 08–10 July 2021. The book covers research papers in the field of N-dimensional multicomponent image processing, multidimensional image representation and super-resolution, 3D image processing and reconstruction, MD computer vision systems, multidimensional multimedia systems, neural networks for MD image processing, data-based MD image retrieval and knowledge data mining, watermarking, hiding and encryption of MD images, MD image processing in robot systems, tensor-based data processing, 3D and multi-view visualization, forensic analysis systems for MD images and many more.
New Approaches for Multidimensional Signal Processing: Proceedings of International Workshop, NAMSP 2022 (Smart Innovation, Systems and Technologies #332)
by Kazumi Nakamatsu Roumen Kountchev Rumen MironovThis book is a collection of papers presented at the International Workshop on New Approaches for Multidimensional Signal Processing (NAMSP 2022), held at Technical University of Sofia, Sofia, Bulgaria, during 23–25 June 2022. The book covers research papers in the field of N-dimensional multicomponent image processing, multidimensional image representation and super-resolution, 3D image processing and reconstruction, MD computer vision systems, multidimensional multimedia systems, neural networks for MD image processing, data-based MD image retrieval and knowledge data mining, watermarking, hiding and encryption of MD images, MD image processing in robot systems, tensor-based data processing, 3D and multi-view visualization, forensic analysis systems for MD images and many more.
New Approaches for Multidimensional Signal Processing: Proceedings of International Workshop, NAMSP 2023 (Smart Innovation, Systems and Technologies #385)
by Kazumi Nakamatsu Roumen Kountchev Rumen Mironov Roumiana Kountcheva Ivo DraganovThis book is a collection of papers presented at the International Workshop on New Approaches for Multidimensional Signal Processing (NAMSP 2023), held at Technical University of Sofia, Sofia, Bulgaria, during 6–8 July 2023. The book covers research papers in the field of N-dimensional multicomponent image processing, multidimensional image representation and super-resolution, 3D image processing and reconstruction, MD computer vision systems, multidimensional multimedia systems, neural networks for MD image processing, data-based MD image retrieval and knowledge data mining, watermarking, hiding and encryption of MD images, MD image processing in robot systems, tensor-based data processing, 3D and multi-view visualization, forensic analysis systems for MD images, and many more.
New Approaches in Intelligent Image Analysis
by Kazumi Nakamatsu Roumen KountchevThis book presents an Introduction and 11 independent chapters, whichare devoted to various new approaches of intelligent image processing andanalysis. The book also presents new methods, algorithms and applied systemsfor intelligent image processing, on the following basic topics: Methods for Hierarchical Image Decomposition; Intelligent Digital Signal Processing and Feature Extraction; Data Clustering and Visualization via Echo State Networks; Clustering of Natural Images in Automatic Image Annotation Systems; Control System for Remote Sensing Image Processing; Tissue Segmentation of MR Brain Images Sequence; Kidney Cysts Segmentation in CT Images; Audio Visual Attention Models in Mobile Robots Navigation; Local Adaptive Image Processing; Learning Techniques for Intelligent Access Control; Resolution Improvement in Acoustic Maps. Each chapter is self-contained with its own references. Some of the chapters are devoted to the theoretical aspects while the others are presenting the practical aspects and the analysis of the modeling of the developed algorithms in different application areas.
New Approaches in Modeling Multiphase Flows and Dispersion in Turbulence, Fractal Methods and Synthetic Turbulence
by J. M. Redondo A. F. Nowakowski C. Cambon F.C.G.A. Nicolleau J. C. Vassilicos M. ReeksThis book contains a collection of the main contributions from the first five workshops held by Ercoftac Special Interest Group on Synthetic Turbulence Models (SIG42. It is intended as an illustration of the sig's activities and of the latest developments in the field. This volume investigates the use of Kinematic Simulation (KS) and other synthetic turbulence models for the particular application to environmental flows. This volume offers the best syntheses on the research status in KS, which is widely used in various domains, including Lagrangian aspects in turbulence mixing/stirring, particle dispersion/clustering, and last but not least, aeroacoustics. Flow realizations with complete spatial, and sometime spatio-temporal, dependency, are generated via superposition of random modes (mostly spatial, and sometime spatial and temporal, Fourier modes), with prescribed constraints such as: strict incompressibility (divergence-free velocity field at each point), high Reynolds energy spectrum. Recent improvements consisted in incorporating linear dynamics, for instance in rotating and/or stably-stratified flows, with possible easy generalization to MHD flows, and perhaps to plasmas. KS for channel flows have also been validated. However, the absence of "sweeping effects" in present conventional KS versions is identified as a major drawback in very different applications: inertial particle clustering as well as in aeroacoustics. Nevertheless, this issue was addressed in some reference papers, and merits to be revisited in the light of new studies in progress.
New Approaches to Gear Design and Production (Mechanisms and Machine Science #81)
by Veniamin Goldfarb Natalya Barmina Evgenii TrubachevThis is the third book in a series devoted to gear design and production. Comprising papers by scientists and gear experts from around the globe, it covers recent developments in practically all spheres of mechanical engineering related to gears and transmissions. It describes advanced approaches to research, design, testing and production of various kinds of gears for a vast range of applications, with a particular focuses on advanced computer-aided approaches for gear analysis, simulation and design, the application of new materials and tribological issues.
New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks
by Patricia Melin Fernando Gaxiola Fevrier ValdezIn this book a neural network learning method with type-2 fuzzy weight adjustment is proposed. The mathematical analysis of the proposed learning method architecture and the adaptation of type-2 fuzzy weights are presented. The proposed method is based on research of recent methods that handle weight adaptation and especially fuzzy weights. The internal operation of the neuron is changed to work with two internal calculations for the activation function to obtain two results as outputs of the proposed method. Simulation results and a comparative study among monolithic neural networks, neural network with type-1 fuzzy weights and neural network with type-2 fuzzy weights are presented to illustrate the advantages of the proposed method. The proposed approach is based on recent methods that handle adaptation of weights using fuzzy logic of type-1 and type-2. The proposed approach is applied to a cases of prediction for the Mackey-Glass (for ô=17) and Dow-Jones time series, and recognition of person with iris biometric measure. In some experiments, noise was applied in different levels to the test data of the Mackey-Glass time series for showing that the type-2 fuzzy backpropagation approach obtains better behavior and tolerance to noise than the other methods. The optimization algorithms that were used are the genetic algorithm and the particle swarm optimization algorithm and the purpose of applying these methods was to find the optimal type-2 fuzzy inference systems for the neural network with type-2 fuzzy weights that permit to obtain the lowest prediction error.
New Business Models and Value Creation: A Service Science Perspective
by Alberto Di Minin Riccardo Varaldo Lino CinquiniThe contemporary economic landscape features the prevalence of the service sector in economic systems, the pervasive servitisation of manufacturing, innovations in traditional business models and new value creation models, thanks to the new possibilities offered by the web, ICT and other enabling technologies. In this evolving context, this book provides qualified contributions on the topic of service science from a managerial perspective. A multidisciplinary perspective is adopted, dealing with both the structural-technological and dynamic-relational aspects of managing complexity. In addressing the contribution that service science can make to business value creation, this book covers relevant issues such as product servitisation, business modelling, value cocreation with customers, performance measures and the role of ICT. It also presents some innovative experiences of management models in service organisations operating in the environmental, energy and health-care sectors. This book aims to enhance the value of the results of research intertwined with the development of a new training curriculum started four years ago at the Scuola Superiore Sant'Anna of Pisa (Italy) with the evolution of the "Master in Management of Innovation" into the new "Master in Management, Innovation and Service Engineering" (MAINS).
New Challenges for Data Design
by David BihanicThe present work provides a platform for leading Data designers whose vision and creativity help us to anticipate major changes occurring in the Data Design field, and pre-empt the future. Each of them strives to provide new answers to the question, "What challenges await Data Design?" To avoid falling into too narrow a mind-set, each works hard to elucidate the breadth of Data Design today and to demonstrate its widespread application across a variety of business sectors. With end users in mind, designer-contributors bring to light the myriad of purposes for which the field was originally intended, forging the bond even further between Data Design and the aims and intentions of those who contribute to it. The first seven parts of the book outline the scope of Data Design, and presents a line-up of "viewpoints" that highlight this discipline's main topics, and offers an in-depth look into practices boasting both foresight and imagination. The eighth and final part features a series of interviews with Data designers and artists whose methods embody originality and marked singularity. As a result, a number of enlightening concepts and bright ideas unfold within the confines of this book to help dispel the thick fog around this new and still relatively unknown discipline. A plethora of equally eye-opening and edifying new terms, words, and key expressions also unfurl. Informing, influencing, and inspiring are just a few of the buzz words belonging to an initiative that is, first and foremost, a creative one, not to mention the possibility to discern the ever-changing and naturally complex nature of today's datasphere. Providing an invaluable and cutting-edge resource for design researchers, this work is also intended for students, professionals and practitioners involved in Data Design, Interaction Design, Digital & Media Design, Data & Information Visualization, Computer Science and Engineering.
New Challenges for Knowledge: Digital Dynamics to Access and Sharing
by Margot Holvoet Quentin Messerschmidt-Mariet Renaud FabreDigital technologies are reshaping every field of social and economic lives, so do they in the world of scientific knowledge. "The New Challenges of Knowledge" aims at understanding how the new digital technologies alter the production, diffusion and valorization of knowledge. We propose to give an insight into the economical, geopolitical and political stakes of numeric in knowledge in different countries. Law is at the center of this evolution, especially in the case of national and international confusion about Internet, Science and knowledge.
New Challenges in Grid Generation and Adaptivity for Scientific Computing
by Simona Perotto Luca FormaggiaThis volume collects selected contributions from the "Fourth Tetrahedron Workshop on Grid Generation for Numerical Computations", which was held in Verbania, Italy in July 2013. The previous editions of this Workshop were hosted by the Weierstrass Institute in Berlin (2005), by INRIA Rocquencourt in Paris (2007), and by Swansea University (2010). This book covers different, though related, aspects of the field: the generation of quality grids for complex three-dimensional geometries; parallel mesh generation algorithms; mesh adaptation, including both theoretical and implementation aspects; grid generation and adaptation on surfaces - all with an interesting mix of numerical analysis, computer science and strongly application-oriented problems.
New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic (SpringerBriefs in Applied Sciences and Technology)
by Oscar Castillo Patricia Melin Jonathan AmezcuaIn this book a new model for data classification was developed. This new model is based on the competitive neural network Learning Vector Quantization (LVQ) and type-2 fuzzy logic. This computational model consists of the hybridization of the aforementioned techniques, using a fuzzy logic system within the competitive layer of the LVQ network to determine the shortest distance between a centroid and an input vector. This new model is based on a modular LVQ architecture to further improve its performance on complex classification problems. It also implements a data-similarity process for preprocessing the datasets, in order to build dynamic architectures, having the classes with the highest degree of similarity in different modules. Some architectures were developed in order to work mainly with two datasets, an arrhythmia dataset (using ECG signals) for classifying 15 different types of arrhythmias, and a satellite images segments dataset used for classifying six different types of soil. Both datasets show interesting features that makes them interesting for testing new classification methods.
New Concepts and Trends of Hybrid Multiple Criteria Decision Making
by Gwo-Hshiung Tzeng Kao-Yi ShenWhen people or computers need to make a decision, typically multiple conflicting criteria need to be evaluated; for example, when we buy a car, we need to consider safety, cost and comfort. Multiple criteria decision making (MCDM) has been researched for decades. Now as the rising trend of big-data analytics in supporting decision making, MCDM can be more powerful when combined with state-of-the-art analytics and machine learning. In this book, the authors introduce a new framework of MCDM, which can lead to more accurate decision making. Several real-world cases will be included to illustrate the new hybrid approaches.
New Connectivities in China
by Pui-Lam LawThe fast diffusion of information and communication technologies (ICTs) in China has brought forth new forms of connection among the Chinese and has changed their social lives. Virtual networks have been developed and in turn have led to the formation of networks in the actual world. This collection explores the resultant complications in the relationship between virtual, actual, and local interactions. It discusses various aspects of the implications of the new connectivities on these three types of interactions in China. The topics examined include: the possibility of the development of civil society in China, the implications for the migrant workers in the south, the challenge posed to the traditional social order, and the relationship between the new connectivities and the Chinese social context.
New Consumer Behavior Theories from Japan (Advances in Japanese Business and Economics #27)
by Akira ShimizuThis book focuses on a new type of inclusive consumer decision-making process model (CDM) related to new leading-edge consumers. There have been two main types of CDMs for consumer behavior: one is the stimulus–response model and the other is the information-processing model. The stimulus–response model is applicable when consumers buy low-involvement products, and the information-processing model applies for high-involvement products. Thus consumers’ decision making depends on the involvement level for the products. With the advent of the widespread use of the Internet, however, the situation has changed. Consumers whose information sensitivity is high (i.e., among leading-edge consumers) now use the Internet to search for information even for low-involvement products. The consumers’ decision-making process depends therefore on their information sensitivity, not on the involvement level of the products. Also, these leading-edge consumers become in effect another type of media as they broaden their experience through the Internet. Under these circumstances, research about leading-edge consumers and the introduction of a new CDM is highly significant. This book gathers data about leading-edge consumers, analyzes these data, then proposes a new type of CDM called “circulation marketing”. Following this model, not only the previous types of CDM, but also the new kind of CDM, including share behavior of leading-edge consumers, is explained.
New Creep at School (Creeper Diaries #3)
by Amanda Brack Greyson MannIs a cool new creeper as friendly as he seems?Gerald is thrilled when a new creeper starts up at Mob Middle School. Finally, there'll be a mob to hang out with that isn't a bouncy slime or a flesh-eating zombie! With Connor by his side, Gerald starts his thirty-day plan to make creepers the coolest mob at school. At first, Connor does seem cool. He seems to have endless amounts of emeralds for the vending machine. He figures out a way to get Gerald on the field trip bus, even though Gerald's parents didn't exactly give permission. And he plays pranks on Bones and his bony buddies that Gerald would have never tried alone. But when Gerald's journal goes missing and his private thoughts and secret rap songs start spreading around school, Gerald wonders if Connor is behind it. He needs help solving the mystery surrounding this new mob. The only problem? Gerald's old friends are suddenly nowhere to be found. Is this creeper on his own?
New Developments and Advances in Robot Control (Studies in Systems, Decision and Control #175)
by Quanmin Zhu Nabil Derbel Jawhar GhommamThis book highlights relevant studies and applications in the area of robotics, which reflect the latest research, from interdisciplinary theoretical studies and computational algorithm development, to representative applications. It presents chapters on advanced control, such as fuzzy, neural, backstepping, sliding mode, adaptive, predictive, diagnosis and fault tolerant control etc. and addresses topics including cloud robotics, cable-driven robots, two-wheeled robots, mobile robots, swarm robots, hybrid vehicle, and drones. Each chapter employs a uniform structure: background, motivation, quantitative development (equations), case studies/illustration/tutorial (simulations, experiences, curves, tables, etc.), allowing readers to easily tailor the techniques to their own applications.