الصفحة 5
الصفحة 5
Intelligent Computing in Engineering and Architecture ; 13th EG-ICE Workshop 2006, Ascona, Switzerland, June 25-30, 2006, Revised Selected Papers
Providing computer support for tasks in civil engineering and architecture is hard. Projects can be complex, long and costly. Firms that contribute to design, construction and maintenance are often worth less than the value of their projects. Everyone in the field is justifiably risk adverse. Contextual variables have a strong influence making generalization difficult. The product life cycle may exceed one hundred years and functional requirements may evolve during the service life. It is therefore no wonder that practitioners in this area have been so reluctant to adopt advanced computing systems. After decades of research and industrial pilot projects, advanced computing s- tems are now being recognized by many leading practitioners to be strategically - portant for the future profitability of firms involved in engineering and architecture. Engineers and architects with advanced computing knowledge are hired quickly in the market place. Closer collaboration between research and practice is leading to more comprehensive validation processes for new research ideas. This is feeding devel- ment of more useful systems, thus accelerating progress. These are exciting times. th This volume contains papers that were presented at the 13 Workshop of the Eu- pean Group for Intelligent Computing in Engineering. Over five days, 70 participants from around the world listened to 59 paper presentations in a single session format.
Intelligent Algorithms in Ambient and Biomedical Computing
The rapid growth in electronic systems in the past decade has boosted research in the area of computational intelligence. As it has become increasingly easy to generate, collect, transport, process, and store huge amounts of data, the role of intelligent algorithms has become prominent in order to visualize, manipulate, retrieve, and interpret the data. For instance, intelligent search techniques have been developed to search for relevant items in huge collections of web pages, and data mining and interpretation techniques play a very important role in making sense out of huge amounts of biomolecular measurements. As a result, the added value of many modern systems is no longer determined by hardware only, but increasingly by the intelligent software that supports and facilitates the user in realizing his or her objectives.
Intégration : Chapitre 6 = Integration : Chapters 6
Nicolas BOURBAKI's Elements of Mathematics aim to provide a rigorous, systematic presentation without prerequisites of mathematics from their foundations.This sixth chapter of the Book of Integration, the sixth Book of the elements of mathematics, extends the notion of integration to values in locally convex Hausdorff vector spaces.
Integrated Market and Credit Portfolio Models : Risk Measurement and Computational Aspects
Due to their business activities, banks are exposed to many different risk types. Aggregating various risk exposures to a comprehensive risk position is an important but up-to-date not satisfactorily solved task. This shortfall goes back to conceptual problems of constructing an appropriate risk model and to the computational burden of determining a loss distribution that comprises all relevant risk types. Peter Grundke deals with both problems. On the one hand, he extends a standard credit portfolio model by correlated interest rate and credit spread risk. The analysis shows that the economic capital needed as a buffer to absorb unexpected losses in a portfolio can be severely underestimated when relevant market risk factors are neglected. On the other hand, computational aspects are addressed.
Integral Methods in Science and Engineering : Theoretical and Practical Aspects
The quantitative and qualitative study of the physical world makes use of many mathematical models governed by a great diversity of ordinary, partial differential, integral, and integro-differential equations. An essential step in such investigations is the solution of these types of equations, which sometimes can be performed analytically, while at other times only numerically. This edited, self-contained volume presents a series of state-of-the-art analytic and numerical methods of solution constructed for important problems arising in science and engineering, all based on the powerful operation of (exact or approximate) integration.It covers a wide variety of topics, from the theoretical development of boundary integral methods to the application of integration-based analytic and numerical techniques that include integral equations, finite and boundary elements, conservation laws, hybrid approaches, and other procedures.
Instrumaster
Experiments with different neural network structures and algorithms in order to achieve musical note recognition as well as musical instrument recognition, all bundled in a mobile application. It also aims to create the most effective music-learning application that works completely offline, which is hard to find in modern music applications. The paper also explores why the instrument identifying AI is solely based on Multi-Layer Perceptron (MLP) and why the note-identifying AI system was chosen to be a ML system over CNN or other deep-learning trained AI. The paper presents feature extraction methods for audio signals and files and dives deep into the process, such as FFT, MFCCs, Wavelengths, sampling rates, etc. It also touches on Logistic Regression Algorithms, their limitations, and their performance with the different use cases in the application. All these techniques are then compared side by side for maximally added value, making this research paper a good reference for any future developers looking to find optimal neural networks techniques when it comes to audio processing and analysis.
Innovation Project Management : Methods, Case Studies, and Tools for Managing Innovation Projects
Specific ideas discussed in Innovation Project Management include: Continuous versus discontinuous innovation, incremental versus radical innovation, understanding innovation differences, and incremental innovation versus new product development Identifying core competencies using SWOT analysis and nondisclosure agreements, secrecy agreements, and confidentiality agreements Implications and issues for project managers and innovation personnel, active listening, pitching the innovation, and cognitive biases Measuring intangible assets, customer/stakeholder impact on value metrics, customer value management programs, and the relationship between project management and value
Innovation Capacity and the City : The Enabling Role of Design
This book represents one of the key milestones of DESIGNSCAPES: value creation through design-enabled innovation”. The book demonstrates that adopting design allows us to embed innovation within the city so as to arrive at feasible answers to complex global challenges. In this way, innovation can become disruptive, while also sparking a dynamic of gradual change in the “urbanscape” it acts within. To explore this potential, the book puts forward the concept of “design enabled innovation in urban environments” and examines the part that the city can play in promoting and facilitating the adoption of design among public and private sector innovators. This leads to a potential evaluation framework in which a given urbanscape is assessed both in terms of its capacity for generating innovation, and of the nature (more or less design-dependent or design-prone) of the innovative initiatives it hosts. This thread of reasoning holds many promising implications, including a possible “third way” between those who dream of an alternative economic model where revenues and growth are sacrificed on the altar of social and environmental respect, and the supporters of the traditional market-based view, who feel it is enough to add a touch of responsibility and concern to a system that should continue rewarding the profitability of innovations.
Informing Digital Futures : Strategies for Citizen Engagement
In the present digital revolution we often seem trapped in a Kafkaesque world of technological advances, some desired, some disliked or even feared, which we cannot influence but must accept. This book discusses the urgent need to redress this situation. The authors argue that technologies succeed or fail according to their relevance and value to people, who need to be actively engaged in order to create shared visions and influence their implementation. Strategies for citizen engagement and empowerment will enable citizens to influence and shape desirable digital futures. The book reviews the currently accepted ways of thinking about the design of systems and the reasons why these methods are no longer adequate. From an academically rigorous analysis of case histories across a wide variety of sectors, knowledge and best practice are captured in a rich, descriptive model of the contributions of citizen engagement to the design process. Finally, it provides specific practical guidance, based on sound academic research, for policy makers, administrators and ICT professionals on the strategies, methodologies, tools and techniques needed to change design practice.
Information Processing with Evolutionary Algorithms : From Industrial Applications to Academic Speculations
The last decade of the 20th century has witnessed a surge of interest in num- ical, computation-intensive approaches to information processing. The lines that draw the boundaries among statistics, optimization, arti cial intelligence and information processing are disappearing, and it is not uncommon to nd well-founded and sophisticated mathematical approaches in application - mains traditionally associated with ad-hoc programming. Heuristics has - come a branch of optimization and statistics. Clustering is applied to analyze soft data and to provide fast indexing in the World Wide Web. Non-trivial matrix algebra is at the heart of the last advances in computer vision. The breakthrough impulse was, apparently, due to the rise of the interest in arti cial neural networks, after its rediscovery in the late 1980s. Disguised as ANN, numerical and statistical methods made an appearance in the - formation processing scene, and others followed. A key component in many intelligent computational processing is the search for an optimal value of some function. Sometimes, this function is not evident and it must be made explicit in order to formulate the problem as an optimization problem. The search - ten takes place in high-dimensional spaces that can be either discrete, or c- tinuous or mixed. The shape of the high-dimensional surface that corresponds to the optimized function is usually very complex. Evolutionary algorithms are increasingly being applied to information processing applications that require any kind of optimization.
Implementing machine learning for finance : A systematic approach to predictive risk and performance analysis for investment portfolios
Introduces pattern recognition and future price forecasting that exerts effects on time series analysis models, such as the Autoregressive Integrated Moving Average (ARIMA) model, Seasonal ARIMA (SARIMA) model, and Additive model, and it covers the Least Squares model and the Long Short-Term Memory (LSTM) model. It presents hidden pattern recognition and market regime prediction applying the Gaussian Hidden Markov Model. The book covers the practical application of the K-Means model in stock clustering. It establishes the practical application of the Variance-Covariance method and Simulation method (using Monte Carlo Simulation) for value at risk estimation. It also includes market direction classification using both the Logistic classifier and the Multilayer Perceptron classifier. Finally, the book presents performance and risk analysis for investment portfolios. You will: Understand the fundamentals of the financial market and algorithmic trading, as well as supervised and unsupervised learning models that are appropriate for systematic investment portfolio management / Know the concepts of feature engineering, data visualization, and hyperparameter optimization / Design, build, and test supervised and unsupervised ML and DL models / Discover seasonality, trends, and market regimes, simulating a change in the market and investment strategy problems and predicting market direction and prices / Structure and optimize an investment portfolio with preeminent asset classes and measure the / underlying risk
Impact of artificial intelligence on organizational transformation
Covers the areas like artificial intelligence & its impact on professions, as well as machine learning algorithms and technologies. The context of applications of AI in business process innovation primarily includes new business models, AI readiness and maturity at the organizational, technological, financial, and cultural levels. The book has extensive details on machine learning and the applications such as robotics, blockchain, Internet of Things. Also discussed are the influence of AI on financial strategies and policies, human skills & values, procurement innovation, production innovation, AI in marketing & sales platforms.
Imaging of Orthopedic Sports Injuries ; 1st ed.
This volume provides an updated review of imaging abnormalities in orthopedic sports injuries. The first part of the book contains background information on relevant basic science and general imaging principles in sports traumatology. The second part comprises a topographic discussion of sports injuries. Each chapter highlights the merit of different imaging techniques, focused on a specific clinical problem. In the third part, natural history, monitoring and follow-up by imaging are discussed. This well-illustrated book will be of value for musculoskeletal radiologists, orthopedic surgeons, sports physicians and everyone else involved in sports medicine.
Imaging in Treatment Planning for Sinonasal Diseases
Provides both basic and advanced information on the clinical presentation, imaging findings and treatment of sinonasal diseases. For each specific disease, the rationale underlying the treatment strategy is discussed and the imaging findings critical to the decision-making process are identified. This is an original approach and reflects the constant team effort at the editors' institute over the past 15 years to integrate clinical and radiological information with the aim of establishing the most appropriate treatment. Special emphasis is placed on the identification of clinical and imaging data that allow selection of an endonasal or an external approach in surgical candidates. The value of planning an integrated endoscopic and radiological follow-up in the different diseases is also thoroughly reviewed. Through the correlation of imaging with endoscopic or clinical findings, this book will enable radiologists to familiarise themselves with the "otorhinolaryngological world" and clinicians to understand more fully the significance of specific radiological findings. It will serve as an invaluable guide to the selection of imaging techniques.
Il cancro e la ricerca del senso perduto = Cancer and the search for lost meaning
Cancer disease can be approached with the aim of killing diseased cells or with that of making them go backwards on the road that leads from a state of natural equilibrium to the disease. This book tells an original research by the author inspired by this biological vision of cancer, research that led to the production and use of anticancer products. Inevitably, the history of research slips into a vision of the world and of life that presents the features of a documented critique of the values and priorities that characterize the world in which we live. A profound and human book, which makes you think, which makes you hope.
Hypoelliptic estimates and spectral theory for Fokker-Planck operators and witten Laplacians
There has recently been a renewal of interest in Fokker-Planck operators, motivated by problems in statistical physics, in kinetic equations and differential geometry. Compared to more standard problems in the spectral theory of partial differential operators, those operators are not self-adjoint and only hypoelliptic. The aim of the analysis is to give, as generally as possible, an accurate qualitative and quantitative description of the exponential return to the thermodynamical equilibrium. While exploring and improving recent results in this direction this volume proposes a review of known techniques on: the hypoellipticity of polynomial of vector fields and its global counterpart; the global Weyl-Hörmander pseudo-differential calculus, the spectral theory of non-self-adjoint operators, the semi-classical analysis of Schrödinger-type operators.
Hyperbolic Problems and Regularity Questions
This book discusses new challenges in the quickly developing field of hyperbolic problems. Particular emphasis lies on the interaction between nonlinear partial differential equations, functional analysis and applied analysis as well as mechanics.The book originates from a recent conference focusing on hyperbolic problems and regularity questions. It is intended for researchers in functional analysis, PDE, fluid dynamics and differential geometry.
Hyperbolic Problems : Theory, Numerics, Applications ; Proceedings of the Eleventh International Conference on Hyperbolic Problems held in Ecole Normale Supérieure, Lyon, July 17-21, 2006
This volume contains papers that were presented at HYP2006, the eleventh international Conference on Hyperbolic Problems: Theory, Numerics and Applications held at the Ecole Normale Supérieure de Lyon, France, July 17-21, 2006. This biennial series of conferences has become one of the most important international events in Applied Mathematics. As computers became more and more powerful, the interplay between theory, modelling, and numerical algorithms gained considerable impact, and the scope of HYP conferences expanded accordingly. The field is currently in interaction with a variety of scientific domains, including fluid dynamics, physics, electromagnetism, chemistry, biology, road and network traffic, and engineering. Many of these papers present new effective numerical methods and their application in various contexts.
Hydropower Economics
HYDROPOWER ECONOMICS examines sustainable alternate energy sources beginning with modeling hydropower and extending the model to include thermal power and wind power. The book will use various econometric measures, equilibrium metrics, OR methods, and DEA/productivity analyses to analyze and model the optimal use of these alternate energy sources. Because these problems are dynamic in nature, dynamic methods are used to model the problems. The book derives results on the allocation of the amounts of alternate sources of energy (water, thermal, and wind) required to produce electricity at acceptable levels over time. Graphic illustrations of the analytical and mathematical modeling used to reach research conclusions are used throughout the book.
Human-Nature Interactions : Exploring Nature’s Values Across Landscapes
Highlights how humans value nature, the opportunities and challenges in changing socio-ecological systems / Provides insights into concepts and methods to study human-nature relationships, designed for a broad audience / Focus on integrative approaches exploring interactions across different scales, intensity levels and landscapes
