الصفحة 95
الصفحة 95
Design computing and cognition 06 ; 1st ed. ; Proceedings of the 2nd International conference on design computing and cognition
This is the second volume of the new conference series Design Computing and Cognition (DCC) that takes over from and subsumes the successful series Artificial Intelligence in Design (AID) published by Kluwer since 1992. The AID volumes have become standard reference texts for the field. It is expected that the DCC volumes will perform the same role.
Design applications of raft foundations
Examines alternative design procedures for plain and piled raft foundations. Chapters are written by leading consultants and contractors from around the world who draw on their extensive experience in the UK and overseas. It explores the broad assumptions that are made in the analysis of soil - structure interaction, together with the associated calculation methods. In particular, the book contains extensive references to recent work on the subject, and gives many examples of project applications covering a wide range of structural forms and ground conditions.
Design and modeling of millimeter-wave CMOS circuits for wireless transceivers : Era of sub-100nm technology
Design and Modeling of Millimeter-wave CMOS Circuits for Wireless Transceivers describes in detail some of the interesting developments in CMOS millimetre-wave circuit design. This includes the re-emergence of the slow-wave technique used on passive devices, the license-free 60GHz band circuit blocks and a 76GHz voltage-controlled oscillator suitable for vehicular radar applications.
Design and implementation of an array of patch antenna
Wireless technology is one of the main areas of research in global communication systems today and the study of communication systems is incomplete without an understanding of the process and manufacture of antennas. This was the main reason for choosing this project to focus on this area. This paper presents the design and implementation of an antenna array consisting of 4 patch antenna elements that work on 2.4GHz frequency,the substrate FR4, It was analyzed using HFSS (High Frequency Simulator Structure). In order to achieve a gain of 7 db, and a reflection coefficient of s11 of -10db Then the board was printed And he made measurements in the laboratory on the spectrum analyzer and the kit for the antennas As a result of the measurements, we obtained the antenna gain, the antenna radiation pattern, and the s11
Design and Analysis of Learning Classifier Systems : A Probabilistic Approach
This book provides a comprehensive introduction to the design and analysis of Learning Classifier Systems (LCS) from the perspective of machine learning. LCS are a family of methods for handling unsupervised learning, supervised learning and sequential decision tasks by decomposing larger problem spaces into easy-to-handle subproblems.
Desertification in the Mediterranean Region : A security issue ; Proceedings of the NATO Mediterranean Dialogue Workshop, held in Valencia, Spain, 2-5 December 2003
This book focuses on two basic concepts: security and desertification in the Mediterranean Region and their linkages. Desertification is recognized as a process of land degradation in arid, semi-arid, and dry sub-humid areas of the world that is the result of natural phenomena (e.g. climate variation) and anthropogenic factors. The outcome of this type of degradation has typically been considered to be either a reduction or a loss of both biological and economic productivity. The scope of the book includes the identification of the physical processes of desertification specific to both the north and south Mediterranean Region. Additionally, it specifically questions how changing environmental conditions may potentially reduce stability and peace in the world and thus affect "environmental security."
Deploying .NET Applications : Learning MSBuild and ClickOnce
Whether building a console application, a web service, or a smart client, you eventually need to distribute your finished work. Deploying .NET Applications is a complete guide to delivering applications built with .NET. Packed with hands-on guidance, practical examples, and war stories from the authors many experiences with deployment scenarios, this book provides everything you need to know. The book begins by introducing the deployment problem, then examines why deployment is an engineering problem for organizations. Subsequent chapters provide detail about deploying each type of application, then discuss automated deployments.
Dependable software engineering : Theories, tools, and applications ; 6th International Symposium, SETTA 2020, Guangzhou, China, November 24–27, 2020, Proceedings
This book constitutes the proceedings of the 6th International Symposium on Dependable Software Engineering, SETTA 2020, held in Guangzhou, China, in November 2020. The 10 full and 1 short paper included in this volume were carefully reviewed and selected from 20 submissions. They deal with latest research results and ideas on bridging the gap between formal methods and software engineering.
Dental Perspectives on Human Evolution : State of the Art Research in Dental Paleoanthropology
The objective of the volume is to bring together, in one collection, the most innovative dental anthropological research as it pertains to the study of hominid evolution. In the past few decades both the numbers of hominin dental fossils and the sophistication of the techniques used to analyze them have increased substantially. Contributions focus on dental morphometrics, growth and development, diet and dental evolution. The contributed chapters include crown morphology, microstructure, microwear, stable isotope data, recent genetic research and new methodologies, including 3-D imaging, confo.
Dental implant treatment in medically compromised patients
This book is an ideal reference guide for clinicians seeking to improve their decision making and treatment outcomes when placing dental implants in medically compromised patients, in whom conditions for osseointegration and soft tissue healing may be unfavorable.
Dendritic Neurotransmitter Release
This book presents recent developments in the neurophysiology of dendritic release of several chemical classes of transmitters in a number of different areas of the mammalian central nervous system. Once released from a neuron, these substances can act as neurotransmitters and/or neuromodulators, to autoregulate the original neuron, its synaptic inputs, and adjacent cells or, by volume transmission, to affect distant cells.
Dendrimer Catalysis
catalytically active dendrimers have emerged as a class of molecular catalysts that has substantially enriched the field of homogeneous (and in part heterogeneous) catalysis. A general survey of transition metal dendrimer catalysts and the way they have developed is followed by in-depth discussions of dendritic transition metal catalysis based on non-covalent catalyst-support interaction and an overview of the rapidly growing field of stereoselective dendrimer catalysis. The development of dendrimer-encapsulated bimetallic nanoparticles has provided the interface with heterogeneous colloid catalysis. As cheaper and readily accessible alternatives to regular dendrimers, hyperbranched polymers are increasingly being used as catalyst platforms. These topics are complemented by a review of metallodendritic exoreptors for the redox recognition of oxo-anions and halides.
Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms
Presents a comprehensive comparison of the performance of stochastic optimization algorithms / Includes an introduction to benchmarking and statistical analysis / Provides a web-based tool for making statistical comparisons of optimization algorithms / Overviews of the current approaches used to analyze algorithm performance in a range of common scenarios, while also addressing issues that are often overlooked. In turn, it shows how these issues can be easily avoided by applying the principles that have produced Deep Statistical Comparison and its variants. The focus is on statistical analyses performed using single-objective and multi-objective optimization data. At the end of the book, examples from a recently developed web-service-based e-learning tool (DSCTool) are presented. The tool provides users with all the functionalities needed to make robust statistical comparison analyses in various statistical scenarios. The book is intended for newcomers to the field and experienced researchers alike. For newcomers, it covers the basics of optimization and statistical analysis, familiarizing them with the subject matter before introducing the Deep Statistical Comparison approach. Experienced researchers can quickly move on to the content on new statistical approaches.
Deep margin elevation
Deep margin elevation (DME) is a minimally invasive and successful procedure for deep subgingival caries. and evidence among practitioners. This review aims to assess the feasibility of DME, current clinical concepts, techniques, and materials for DME, and compare it with traditional techniques for cervical margin relocation while also considering various clinical parameters.
Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics : Techniques and Applications
Examines and demonstrates state-of-the-art approaches for IoT and Machine Learning based biomedical and health related applications. This book aims to provide computational methods for accumulating, updating and changing knowledge in intelligent systems and particularly learning mechanisms that help us to induce knowledge from the data. It is helpful in cases where direct algorithmic solutions are unavailable, there is lack of formal models, or the knowledge about the application domain is inadequately defined. In the future IoT has the impending capability to change the way we work and live. These computing methods also play a significant role in design and optimization in diverse engineering disciplines. With the influence and the development of the IoT concept, the need for AI (artificial intelligence) techniques has become more significant than ever.
Deep learning for computational problems in hardware security : Modeling attacks on strong physically unclonable function circuits
Discusses a broad overview of traditional machine learning methods and state-of-the-art deep learning practices for hardware security applications, in particular the techniques of launching potent "modeling attacks" on Physically Unclonable Function (PUF) circuits, which are promising hardware security primitives. The volume is self-contained and includes a comprehensive background on PUF circuits, and the necessary mathematical foundation of traditional and advanced machine learning techniques such as support vector machines, logistic regression, neural networks, and deep learning. This book can be used as a self-learning resource for researchers and practitioners of hardware security, and will also be suitable for graduate-level courses on hardware security and application of machine learning in hardware security.
Deep learning approaches to cloud security
Covering one of the most important subjects to our society today, cloud security, this editorial team delves into solutions taken from evolving deep learning approaches, solutions allowing computers to learn from experience and understand the world in terms of a hierarchy of concepts, with each concept defined through its relation to simpler concepts.
Declarative agent languages and technologies II ; 2nd international workshop, DALT 2004, New York, NY, USA, July 19, 2004, revised selected papers
Nearly 40 research groups worldwide were motivated to contribute to this event by submitting their most recent research achievements, covering a wide variety of the topics listed in the call for papers. More than 30 top researchers agreed to join the Program Committee, which then collectively faced the hard task of selecting the one-day event program. The fact that research in multi-agent systems is no longer only a novel and promising research horizon at dawn is, in our opinion, the main reason behind DALT’s (still short) success story. On the one hand, agent theories and app- cations are mature enough to model complex domains and scenarios, and to successfully address a wide range of multifaceted problems, thus creating the urge to make the best use of this expressive and versatile paradigm, and also pro?t from all the important results achieved so far. On the other hand, bui- ing multi-agent systems still calls for models and technologies that could ensure system predictability, accommodate ?exibility, heterogeneity and openness, and enable system veri?cation.
Decentralised Government in an Integrating World: Quantitative Studies for OECD Countries
The book offers a comprehensive empirical analysis of the determinants of changes in the distribution of expenditure and revenue-raising powers among fiscal tiers in OECD countries. Using a new indicator of fiscal decentralisation which accounts for subnational decision-making autonomy, common decentralisation trends are investigated.
De L’Éthique À La Justice : Langage et politique dans la philosophie de Lévinas = Language and politics in the philosophy of Levinas
Seeks to show that even if man is the event of the understanding of being, the whole of man and all meaning cannot be reduced to the understanding of being alone. On the political side, he questions the possibility of subjecting the totalitarian tendency of all politics to a search for justice that does not ultimately depend on politics itself. But these two sides are one. The discovery of a meaning beyond the comprehension of being - ethics - at the same time provides the source of the renewal of justice. Thus, by this double question, Lévinas presents to us the main threads of our investigation: a meaning beyond the comprehension of being and its ethical scope, which we call “language” and which we explore in the perspective of its importance.
