%{search_type} search results

• Introduction.- SLAM Front-end.- SLAM Back-end.- Path planning in belief space with Pose SLAM.- Active Pose SLAM.- Conclusions.
• (source: Nielsen Book Data)

This monograph introduces a unifying framework for mapping, planning and exploration with mobile robots considering uncertainty, linking such problems with a common SLAM approach, adopting Pose SLAM as the basic state estimation machinery. Pose SLAM is the variant of SLAM where only the robot trajectory is estimated and where landmarks are used to produce relative motion measurements between robot poses. With regards to extending the original Pose SLAM formulation, this monograph covers the study of such measurements when they are obtained with stereo cameras, develops the appropriate noise propagation models for such case, extends the Pose SLAM formulation to SE(3), introduces information-theoretic loop closure tests, and presents a technique to compute traversability maps from the 3D volumetric maps obtained with Pose SLAM. A relevant topic covered in this monograph is the introduction of a novel path planning approach that exploits the modeled uncertainties in Pose SLAM to search for the path in the pose graph that allows the robot to navigate to a given goal with the least probability of becoming lost. Another relevant topic is the introduction of an autonomous exploration method that selects the appropriate actions to drive the robot so as to maximize coverage, while minimizing localization and map uncertainties. This monograph is appropriate for readers interested in an information-theoretic unified perspective to the SLAM, path planning and exploration problems, and is a reference book for people who work in mobile robotics research in general.
(source: Nielsen Book Data)

• Preface IX Acknowledgments XIII Introduction 1 Methodology 4 1 Global Megatrends by 2050 11 1.1 Social Megatrends 16 1.1.1 Population Growth 16 1.1.2 Demographics 18 1.1.2.1 Area and Age Distribution 18 1.1.2.2 Change in Age Distribution 18 1.1.3 Urbanization 25 1.1.3.1 Megacities 27 1.2 Economic Megatrends 29 1.2.1 Foreign Direct Investment(FDI) 40 1.3 Political Megatrend 42 1.3.1 Trend
• A New International Order 43 1.3.1.1 Sub Trend
• the Emergence of the BRIC Economies 43 1.3.1.2 Sub Trend
• Corporate Mega Economies
• (CME) 46 1.3.1.3 Sub trend
• Social Networks 50 1.3.2 Trend
• An increasing role of Governments 54 1.4 Energy Megatrends 61 1.4.1 Recent Energy Transitions 63 1.4.2 Key Lessons from Recent Energy Mix Transitions 69 1.4.3 Energy Life Cycle 69 1.4.4 Energy Success Criteria 69 1.4.5 Shocks Are a Valuable Source of Information 70 1.4.6 Transitions Occur in "Life" 70 1.4.7 The Golden Rule
• Economics Dictate Energy Transitions 70 1.4.8 Transitions Always Occur, the Question Is When: The Oil Peak 71 1.4.9 The Oil Peak
• M.King Hubbert 74 1.4.10 OPEC
• Energy projections to 2030 75 1.4.11 Recent Developments 80 1.4.11.1 Nuclear Energy
• The Aftermath of Fukushima 80 1.4.11.2 Shale Gas the "Game Changer"
• Natural Gas the Energy of the Future 85 1.5 Climate Change 99 1.5.1 Business Case
• EU Tire Labeling
• CO2 Emissions Reduction in the Tire and Automotive Industry 113 1.6 Wild Cards 129 1.6.1 Political 131 1.6.2 Social 131 1.6.3 Technological 132 1.6.4 Transportation 132 1.7 Accelerators
• Information Technology and "Singularity" 132 Appendix: Climate Change 139 2 The World by 2050 141 2.1 "A Much Larger, Wealthier, Healthier, and Sustainable World" 141 2.1.1 Methodology 144 2.2 Status of the World
• 2010 145 2.3 The World in 2050 146 2.3.1 BAU Scenario 146 2.3.2 Sustainable Scenario 155 Appendix: Roadmaps to a World of 4000 g of CO2 per Capita per Day 161 3 The Chemical Industry in 2010 163 3.1 Chemical Industry: Economic Relevance 163 3.2 Chemical Industry: Technological Relevance 166 3.3 Industry Relevance: Profitability 168 3.4 Feedstocks and Energy 171 3.5 Major Sectors and Products of the Chemical Industry 173 3.6 Industry Structure and Companies 173 3.7 Safety 184 3.8 Background 186 3.8.1 Recent History of the Chemical Industry Excluding Pharmaceuticals 186 3.8.1.1 1750--1850 Industrial Revolution and Inorganic Chemistry 187 3.8.1.2 1850 Synthetic Dyes from Coal for Textiles, and Chlorine Bleach 187 3.8.1.3 1870 Celluloid 187 3.8.1.4 1880 Rayon from Wood Fibers 188 3.8.1.5 1900 Electrolysis of Brine (Chlorine) 188 3.8.1.6 1913 Synthetic Fertilizers 189 3.8.1.7 1910--1920 Steam Cracker (Ethylene, Propylene and Butadiene) 190 3.8.1.8 1920--1930
• Styrene Cracking (Ethyl-benzene and Styrene) Cracking 190 3.8.1.9 Polyamide Nylon (DuPont) 190 3.8.1.10 1930s
• Synthetic Rubber 190 3.8.1.11 1950s
• Plastics Demand Explodes 191 3.8.1.12 1960s Internationalization 194 3.8.1.13 2010--2050
• The Chemical Industry Leads the Revolution against Climate Change 194 3.9 Conclusion 194 3.10 Summary
• Industry Major Features and Upcoming Megatrends 195 3.11 Major Features of the Chemical Industry 197 3.11.1 Summary: Global Major Megatrends 199 Bibliography 200 4 Impact Assessment of the Global Megatrends on the Chemical Industry 201 4.1 Introduction 201 4.2 Megatrends with the Highest Impact into the Chemical Industry (Global & Area Level) 207 4.3 Megatrends with the Highest Impact in the Industry (Area Level)
• (Figure 4.4) 208 4.4 Megatrends with the Highest Impact into the Different Features of the Industry 210 4.5 Major Results for the Chemical Industry Globally 212 4.6 Major Results for the Chemical Industry in the ADV Economies 214 4.7 Major Results for the Chemical Industry in the BRIC Economies 216 4.8 Major Results for the Chemical Industry in the REST Economies 218 5 The Chemical Industry by 2050 221 5.1 Introduction 221 5.2 Feature 1: The Relevance of the Chemical Industry 225 5.2.1 Economic Relevance 226 5.2.1.1 Chemicals and Pharmaceuticals by 2050
• per Capita Demand in $US 229 5.2.2 Technological Relevance 236 5.2.2.1 The Chemical Industry
• Long Term Cycles 236 5.2.3 Profitability 241 5.3 Feature 2: Inputs
• Feedstocks 245 5.3.1 BAU Scenario for Feedstocks by 2050 247 5.3.2 Feedstock Simulation II by 2050: "Shale Gas I
• Ethane + 20% Globally" 250 5.3.3 Simulation II by 2050: "Shale Gas II
• Ethane at Maximum Capacity Globally"
• (Unreal) 252 5.3.4 Conclusion and Feedstock Alternatives 254 5.4 Feature 3: Outputs
• Products 256 5.4.1 Global Ethylene Market by 2050
• BAU Scenario 258 5.5 Feature 4: Climate Change
• Greenhouse Emissions
• CO2 Emissions 264 5.5.1 Historical and Future Scenarios on World CO2 Emissions 268 5.5.2 Summary
• Global Emission Trading Systems in Operation 277 5.5.2.1 Chemical Industry
• Greenhouse Emissions Abatement in 2005 281 5.6 Feature 5: Industry Structure 283 5.6.1 Markets
• Largest World Markets 284 5.6.1.1 Chemicals 284 5.6.1.2 Pharmaceuticals 284 5.6.2 Per Capita Demand 287 5.6.2.1 Chemicals 287 5.6.2.2 Pharmaceuticals 289 5.6.3 Companies
• Changes in Global Sales Rankings and Company Structures 291 5.7 Feature 6: Social Awareness 294 Appendix
• Climate Change 296 6 Conclusion 307 Appendix 315 Index 319.
• (source: Nielsen Book Data)

Discussing the technological supremacy of the chemical industry, including pharmaceuticals, and how it will adopt a leading position to solve some of the largest global challenges humans have even seen, this book details how the industry will address climate change, aging populations, resource scarcity, globality, networks speed, pandemics, and massive growth and demand. Following a detailed introduction to some of the megatrends shaping our world over the forthcoming decades, the book goes on to provide several scenarios of how the world could look by 2050, including 'business as usual' and a 'sustainable' one. Chapter 3 gives a comprehensive overview of the current status, while providing a short historical review of the chemical industry, its origins, achievements and fundamentals. The following chapter reviews the potential impact of each of the selected megatrends on the industry, while Chapter 5 proposes how it could look by 2050. Several features of the chemical industry are presented and discussed, including the industrial relevance from an economical, technological and profitability point of view. The largest chemicals markets in absolute and per capita bases and the areas and countries with largest growth potential for chemicals, pharmaceuticals and feedstock. This chapter also reviews the impact of climate change on the chemical industry from a feedstocks and products point of view and, more specifically, the potential costs in reducing CO2 emissions. A final, concluding chapter summarizes the forthcoming megatrends and potential challenges, opportunities and the outlook for the industry as a whole.
(source: Nielsen Book Data)

• Current Trends in Semantic Web Technologies: Theory and Practice.
• (source: Nielsen Book Data)

This book presents innovative and high-quality research regarding the implementation of Semantic Web technologies for knowledge representation and developing intelligent applications in various domains. Semantic Web technologies have inspired many people to create innovative technologies and applications for knowledge representation, Semantic Searches, NLP and Social Networks. The goal of this book is to collect and consolidate novel and high-quality research contributions on Semantic Web technologies and their theoretical and practical application to a range of different domains. In addition to researchers, the book offers a valuable resource for PhD students, master and undergraduate students in IT-related fields such as Computer Science and Information Systems. .
(source: Nielsen Book Data)

• FINALGRANT: A Financial Linked Data Graph Analysis and Recommendation Tool.- Constructing and Interrogating Actor Histories.- Challenges in the Design of Decision Support Systems for Port and Maritime Supply Chains.- Analyzing the Impact of a Decision Support System on a Medium Sized Apparel Company.- A Multicriteria Decision Support System Framework for Computer Selection.- An Agent-Based Memetic Algorithm for Solving Three-Level Freight Distribution Problems.
• (source: Nielsen Book Data)

This book presents innovative and high-quality research regarding advanced decision support systems (DSSs). It describes the foundations, methods, methodologies, models, tools, and techniques for designing, developing, implementing and evaluating advanced DSSs in different fields, including finance, health, emergency management, industry and pollution control. Decision support systems employ artificial intelligence methods to heuristically address problems that are cannot be solved using formal techniques. In this context, technologies such as the Semantic Web, linked data, big data, and machine learning are being applied to provide integrated support for individuals and organizations to make more rational decisions. The book is organized into two parts. The first part covers decision support systems for industry, while the second part presents case studies related to clinical emergency management and pollution control.
(source: Nielsen Book Data)

• Knowledge representation and natural language processing.- Cloud and mobile computing.- Software engineering.- Expert systems and soft computing.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the Second International Conference on Technologies and Innovation, CITI 2016, held in Guayaquil, Ecuador, in November 2016. The 21 revised full papers presented were carefully reviewed and selected from 65 submissions. The papers are organized in topical sections on knowledge representation and natural language processing; Cloud and mobile computing; software engineering; expert systems and soft computing.
(source: Nielsen Book Data)

• Machine Learning.- A machine learning study about the vulnerability level of poverty in Peru.- Predicting academic performance in mathematics using machine learning algorithms.- Analysis of classification algorithms for the prediction of purchase intention in electronic commerce.- Knowledge based systems.- Alignment techniques in Domain-specific models.- IVRMaker, an Interactive and Customizable telephone Chatbot services platform.- Digital Transformation of Health Care Services: Medikal Case Study.- Computer vision and Image analysis.- Texture and Color-Based Analysis to Determine the Quality of the Manila Mango using Digital Image Processing Techniques.- Detection of motorcyclists without a safety helmet through YOLO: support for road safety.- Computer Vision-Based Ovitrap for Dengue Control.- Networks, monitoring and collaborative systems.- Performance analysis of Multipath TCP congestion control variants.- Data stream processing method for clustering of trajectories.- Low-Cost Energy Consumption Monitoring System using NodeMCU.- Trend of the use and investment of Blockchain technology in the banking sector in Ecuador.- Effectiveness of monitoring indicators in the architecture of a collaborative system.- IoT monitoring for real-time control of industrial processes.- Metric identification evaluating security information: A Systematic Literature Review.- Apps and user interfaces.- Evaluation of User Interface (UI) and User Experience (UX) for web services of a weather data monitoring platform.- Comparison of Free Android Mobile 3D Modeling Tools for AR Apps.- A Web App for Teaching Specialized English Vocabulary - Case of Study: Computer Sciences.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 8th International Conference, CITI 2022, held in Guayaquil, Ecuador, during November 14-17, 2022. The 19 full papers included in this book were carefully reviewed and selected from 48 submissions. They were organized in topical sections as follows: machine Learning; knowledge based systems; computer vision and image analysis; networks, monitoring and collaborative systems; apps and user interfaces.
(source: Nielsen Book Data)

• Semantic Technologies and Machine Learning
• Natural Language Processing
• Mobile and collaborative technologies
• Networks and IoT technologies
• ICT for Agronomy and Environment.

This book constitutes refereed proceedings of the 7th International Conference on Technologies and Innovation, CITI 2021, held in Guayaquil, Ecuador, in November 2021. The 14 full papers presented in this volume were carefully reviewed and selected from 36 submissions. They are organized in topical sections named: semantic technologies and machine learning; natural language processing; mobile and collaborative technologies; networks and IoT technologies; ICT for agronomy and environment.

• Semantic Technologies and Machine Learning.- ICT for Agronomy and Environment.- Mobile and collaborative technologies.
• (source: Nielsen Book Data)

This book constitutes the proceedings of the 6th International Conference on Technologies and Innovation, CITI 2020, held in Guayaquil, Ecuador, in November-December 2020.The 16 full papers presented in this volume were carefully reviewed and selected from 41 submissions. They are organized in topical sections named: semantic technologies and machine learning; ICT for agronomy and environment; mobile and collaborative technologies.
(source: Nielsen Book Data)