Recent Advances in Energy Harvesting Technologies

Energy demand is continuously rising mainly due to population growth and rapid economic development. There are substantial worries about the environmental effects of fossil fuels in addition to the uncertainties surrounding the long-term sustainability of non-renewable energy sources. Environmental safety concerns are driving an increase in the demand for renewable energy production. Numerous efforts have been paid to harvest energy from ambient sources e. g. solar wind thermal hydro mechanical etc. This book discusses the application of artificial intelligence (AI) for energy harvesting. The implementation of metaheuristics and AL algorithms in the field of energy harvesting system will provide a quick start for the researchers and engineers who are new to this area. Energy harvesting technologies are growing very speedily hence it is necessary to summarize recent advances in energy harvesting methodology. Over the recent years a considerable amount of effort has been devoted both in industry and academia towards the performance modelling and evaluation of energy harvesting technologies. This book is the result of a collaborative effort among different researchers in the fields of energy harvesting and artificial intelligence. Technical topics discussed in the book include: Hybrid algorithms Mechanical to electrical energy conversion Swarm intelligence MPPT technologies Polymer nanocomposites | Recent Advances in Energy Harvesting Technologies

Slime Mould in Arts and Architecture

The slime mould Physarum polycephalum was a source of explosive growth of bioengineered hybrid sensing and computing devices in the past decade. Being in its vegetative state the plasmodium the slime mould configures its protoplasmic network to optimize its geometry with relation to patterns of attractants and repellents. The slime mould’s adaptability polymorphism and aestheticism inspired artists and architects. The slime mould has been seen as a self-conscious liquid form continuously changing its shape in response to external stimulation and due to interactions of thousands of micro-oscillators in its body. Elusiveness is a magic feature of the slime mould. One moment the slime mould gives you a solution to a mathematical problem by a shape of its body next moment it changes its shape and the solution disappears. Slime Mould in Arts and Architecture presents a set of unique chapters written by leading artists architects and scientists which resulted from creative translations of the slime mould behaviour into forms and sounds unconventional investigations and sensorial experiences and the slime mould ability to remove boundaries between living and artificial solid and fluid science and arts. The book gives readers unique tools for designing architectural forms and creative works using the slime mould understanding how pro-cognitive living substrates can be used in everyday life it sparks new ideas and initiates further progress in many fields or arts architecture science and engineering.

A First Course in Control System Design

Control systems are pervasive in our lives. Our homes have environmental controls. The appliances we use such as the washing machine microwave etc. carry embedded controllers in them. We fly in airplanes and drive automobiles that extensively use control systems. The industrial plants that produce consumer goods run on process control systems. The recent drive toward automation has increased our reliance on control systems technology. This book discusses control systems design from a model-based perspective for dynamic system models of single-input single-output type. The emphasis in this book is on understanding and applying the techniques that enable the design of effective control systems in multiple engineering disciplines. The book covers both time-domain and the frequency-domain design methods as well as controller design for both continuous-time and discrete-time systems. MATLAB© and its Control Systems Toolbox are extensively used for design. | A First Course in Control System Design

Bringing Forth Prosperity Capacity Innovation in Africa

Path to Capacity Innovation: An Africa-MNC Strategic Alliance a policy framework is advanced proposing a strategic alliance between African countries -represented by NEPAD- and the multinational corporation with input from the NGO and couched upon an NEPAD-MNC-NGO cross-fertilizing integrative structure. Capacity innovation is the key to Africa's transformation: with the appropriate catalysts innovation and transformation are but a matter of time in gestation. The first of two major catalysts necessary to prompting this change so long sought by Africans came at the adoption of the New Partnership for Africa's Development. It is one of the most profound collaborations of African Heads of State. The second catalyst is proposed in this work in the form of the multinational corporation as change agent for the innovation process working in alliance with NEPAD as Africa's spokesperson for innovation. The policy framework for African capacity innovation is the material product along with discourse for redress of corruption and security policy narrative for protecting the assets of multinational corporations. Bringing Forth Prosperity: Capacity Innovation in Africa questions capital theory as a development construct and an appropriate platform upon which sustained capacity innovation in Africa may emerge; explores Africa's road to modernity in the context of selected development constructs and assesses capacity innovation from a top down-bottom up perspective purposely to serve as backdrop to the Africa-MNC strategic alliance framework; constructs country capacity ID to identify internal resources available to African countries to support capacity innovation; conceptualizes the Africa-MNC strategic alliance to convey a capacity innovation philosophy; articulates an African capacity innovation policy framework to guide the Alliance through a series of actions designed to prompt innovation activity and set the continent on a course to sustained transformation; and articulates a scheme to protect assets -human and physical- derived through the Africa-MNC strategic alliance. | Bringing Forth Prosperity Capacity Innovation in Africa

Big Data in Oncology: Impact Challenges and Risk Assessment

We are in the era of large-scale science. In oncology there is a huge number of data sets grouping information on cancer genomes transcriptomes clinical data and more. The challenge of big data in cancer is to integrate all this diversity of data collected into a unique platform that can be analyzed leading to the generation of readable files. The possibility of harnessing information from all the accumulated data leads to an improvement in cancer patient treatment and outcome. Solving the big data problem in oncology has multiple facets. Big data in Oncology: Impact Challenges and Risk Assessment brings together insights from emerging sophisticated information and communication technologies such as artificial intelligence data science and big data analytics for cancer management. This book focuses on targeted disease treatment using big data analytics. It provides information about targeted treatment in oncology challenges and application of big data in cancer therapy. Recent developments in the fields of artificial intelligence machine learning medical imaging personalized medicine computing and data analytics for improved patient care. Description of the application of big data with AI to discover new targeting points for cancer treatment. Summary of several risk assessments in the field of oncology using big data. Focus on prediction of doses in oncology using big data The most targeted or relevant audience is academics research scholars health care professionals hospital management pharmaceutical chemists the biomedical industry software engineers and IT professionals.

Recent Trends and Best Practices in Industry 4.0

Industry 4. 0 is used interchangeably with the fourth industrial revolution and represents a new stage in the organization asnd control of the industrial value chain. Cyber-physical systems form the basis of industry 4. 0 (e. g. 'smart machines'). They use modern control systems have embedded software systems can be addressed via IoT (the Internet of Things) and may use extensive data analytics and/or articifical inteligence systems to operate autonomously. The aim of this book is to provide detailed insights into the state of art techniques in AI IoT Blockchain technology and associated technologies which play a vital role in the implementation of a successful project for upcoming and practicing engineers. Owing to its multidisciplinary nature Industry 4. 0 is not a single topic but a combination of a multitude of technologies from different domains. Keeping this in mind the book includes the following topics: Artificial intelligence Internet of things Blockchain technology Digital manufacturing Robotics Cybersecurity The book will be a comprehensive guide to academicians and engineers who want to align with recent trends of fourth industrial revolution. | Recent Trends and Best Practices in Industry 4. 0

Challenges in Cybersecurity and Privacy - the European Research Landscape

Cybersecurity and Privacy issues are becoming an important barrier for a trusted and dependable global digital society development. Cyber-criminals are continuously shifting their cyber-attacks specially against cyber-physical systems and IoT since they present additional vulnerabilities due to their constrained capabilities their unattended nature and the usage of potential untrustworthiness components. Likewise identity-theft fraud personal data leakages and other related cyber-crimes are continuously evolving causing important damages and privacy problems for European citizens in both virtual and physical scenarios. In this context new holistic approaches methodologies techniques and tools are needed to cope with those issues and mitigate cyberattacks by employing novel cyber-situational awareness frameworks risk analysis and modeling threat intelligent systems cyber-threat information sharing methods advanced big-data analysis techniques as well as exploiting the benefits from latest technologies such as SDN/NFV and Cloud systems. In addition novel privacy-preserving techniques and crypto-privacy mechanisms identity and eID management systems trust services and recommendations are needed to protect citizens’ privacy while keeping usability levels. The European Commission is addressing the challenge through different means including the Horizon 2020 Research and Innovation program thereby financing innovative projects that can cope with the increasing cyberthreat landscape. This book introduces several cybersecurity and privacy research challenges and how they are being addressed in the scope of 15 European research projects. Each chapter is dedicated to a different funded European Research project which aims to cope with digital security and privacy aspects risks threats and cybersecurity issues from a different perspective. Each chapter includes the project’s overviews and objectives the particular challenges they are covering research achievements on security and privacy as well as the techniques outcomes and evaluations accomplished in the scope of the EU project. The book is the result of a collaborative effort among relative ongoing European Research projects in the field of privacy and security as well as related cybersecurity fields and it is intended to explain how these projects meet the main cybersecurity and privacy challenges faced in Europe. Namely the EU projects analyzed in the book are: ANASTACIA SAINT YAKSHA FORTIKA CYBECO SISSDEN CIPSEC CS-AWARE. RED-Alert Truessec. eu. ARIES LIGHTest CREDENTIAL FutureTrust LEPS. Challenges in Cybersecurity and Privacy - the European Research Landscape is ideal for personnel in computer/communication industries as well as academic staff and master/research students in computer science and communications networks interested in learning about cyber-security and privacy aspects.

Remote Patient Monitoring: A Computational Perspective in Healthcare

This book provides a multidisciplinary overview of the design and implementation of systems for remote patient monitoring and healthcare. Readers are guided through the components of such a system and shown how they could be integrated into a coherent framework for deployment in practice. The book ends with a discussion of case studies to provide practical examples and design methods for remote healthcare systems with different needs. This book contains information that will be helpful to undergraduate and postgraduate students academic and professional researchers and individuals who employ computational intelligence. By presenting new models of care and support AI in medicine is having an impact on the entire value chain of clinical practice and the patient care delivery system. This is especially evident in telemedicine breakthroughs where applications of AI are utilized to assist complement or create new forms of remote healthcare. Through the use of communications technology telemedicine enables medical professionals to examine diagnose and treat patients remotely. Now the technology might also integrate online diagnostics etc. to increase the effectiveness of the healthcare system and enhance patient outcomes. By enabling elderly people to live independently technological advancements in fields like remote patient monitoring (RPM) systems can revolutionize senior care. Medical diagnosis will improve and remote patient monitoring will become simpler thanks to artificial intelligence. The resistance of many patients and doctors to using the telemedicine idea for medical visits will probably be overcome by AI automation. | Remote Patient Monitoring: A Computational Perspective in Healthcare

Innovation and Sustainability in Governments and Companies: A Perspective to the New Realities

Innovation and sustainability are issues that have become very relevant in recent years. This book presents a compilation of investigations on these topics divided into those applied in government or enterprises. The objective is to demonstrate to the audience how these issues have been worked around the world and in different scenarios. Among the papers there are works related to economic variables imports exports and analysis in different sectors such as tourism agriculture education and even in countries in general. | Innovation and Sustainability in Governments and Companies: A Perspective to the New Realities

Innovation and ICT in Education The Diversity of the 21st Century Classroom

The adequate integration of information and communication technologies (ICT) in educational and training processes is one of the biggest current challenges in education. The classroom of the present is very different from just a few decades ago new technological tools are completely transforming its characteristics and activities. This internationally authored book offers a timely effective and practical vision of this new educational scenario. The book takes a multidisciplinary approach in looking at the problems and possible solutions that are faced by the educational professional of the 21st century when by necessity or obligation they face the use of ICT in their daily tasks. Divided into two parts one theoretical and another practical this book offers the highlights of the most important lines of research that are being developed today in educational technology and importantly presents the innovations which have had the most impact over recent years. From the profound transformations in the physical classroom to everything that involves new virtual scenarios where online teaching requires innovative strategies and training processes this book describes the diverse scenarios that ICT has generated and will continue to generate in the field of education. It presents a new and a very different type of education that can be adapted to the needs of the citizen of the digital society. | Innovation and ICT in Education The Diversity of the 21st Century Classroom

Computational and Analytic Methods in Biological Sciences Bioinformatics with Machine Learning and Mathematical Modelling

Despite major advances in healthcare over the past century the successful treatment of cancer has remained a significant challenge and cancers are the second leading cause of death worldwide behind cardiovascular disease. Early detection and survival are important issues to control cancer. The development of quantitative methods and computer technology has facilitated the formation of new models in medical and biological sciences. The application of mathematical modelling in solving many real-world problems in medicine and biology has yielded fruitful results. In spite of advancements in instrumentations technology and biomedical equipment it is not always possible to perform experiments in medicine and biology for various reasons. Thus mathematical modelling and simulation are viewed as viable alternatives in such situations and are discussed in this book. The conventional diagnostic techniques of cancer are not always effective as they rely on the physical and morphological appearance of the tumour. Early stage prediction and diagnosis is very difficult with conventional techniques. It is well known that cancers are involved in genome level changes. As of now the prognosis of various types of cancer depends upon findings related to the data generated through different experiments. Several machine learning techniques exist in analysing the data of expressed genes; however the recent results related with deep learning algorithms are more accurate and accommodative as they are effective in selecting and classifying informative genes. This book explores the probabilistic computational deep learning model for cancer classification and prediction. | Computational and Analytic Methods in Biological Sciences Bioinformatics with Machine Learning and Mathematical Modelling

Applications of Big Data and Artificial Intelligence in Smart Energy Systems Volume 2 Energy Planning Operations Control and Market Perspectives

In the era of propelling traditional energy systems to evolve towards smart energy systems including power generation energy storage systems and electricity consumption have become more dynamic. The quality and reliability of power supply are impacted by the sporadic and rising use of electric vehicles and domestic & industrial loads. Similarly with the integration of solid state devices renewable sources and distributed generation power generation processes are evolving in a variety of ways. Several cutting-edge technologies are necessary for the safe and secure operation of power systems in such a dynamic setting including load distribution automation energy regulation and control and energy trading. This book covers the applications of various big data analytics artificial intelligence and machine learning technologies in smart grids for demand prediction decision-making processes policy and energy management. The book delves into the new technologies such as the Internet of Things blockchain etc. for smart home solutions and smart city solutions in depth in the context of the modern power systems. Technical topics discussed in the book include: • Hybrid smart energy system technologies • Energy demand forecasting • Use of different protocols and communication in smart energy systems • Power quality and allied issues and mitigation using AI • Intelligent transportation • Virtual power plants • AI business models. | Applications of Big Data and Artificial Intelligence in Smart Energy Systems Volume 2 Energy Planning Operations Control and Market Perspectives

Green Web-II Standards and Perspectives from the IUCN Program / Policy Development in Environment Conservation Domain - with reference to In

Solutions Manual for the Guide to Energy Management

First published in 2016. This practical study guide serves as a valuable companion text providing workedout solutions to all of the problems presented in Guide to Energy Management Eighth Edition. Covering each chapter in sequence the author has provided detailed instructions to guide you through every step in the problemsolving process. You’ll find all the help you need to fully master and apply the stateoftheart concepts and strategies presented in Guide to Energy Management. | Solutions Manual for the Guide to Energy Management

Guide to Microturbines

First published in 2004. Featuring the latest information on the new technology involved in on-site power generation this book incorporates an overview and further detailed investigations into the issues inherent in the development use and future of microturbines. | Guide to Microturbines

Textbook on Ordinary Differential Equations A Theoretical Approach

Many scientific and real-world problems that occur in science engineering and medicine can be represented in differential equations. There is a vital role for differential equations in studying the behavior of different types of real-world problems. Thus it becomes crucial to know the existence and uniqueness properties of differential equations and various methods of finding differential equation solutions in explicit form. It is also essential to know different kinds of differential equations in terms of eigenvalues termed eigenvalue problems and some special functions used in finding the solution to differential equations. The study of nonlinear problems also plays a significant role in different real-world situations. There is a necessity to know the behavior of solutions of nonlinear differential equations. Still there are very few forms of differential equations whose solution can be found in explicit form. For the differential equations whose solutions cannot be found in explicit form one has to study the properties of solutions of the given differential equation to guess an approximate solution of it. This book aims to introduce all the necessary topics of differential equations in one book so that laymen can easily understand the subject and apply it in their research areas. The novel approach used in this book is the introduction of different analytical methods for finding the solution of differential equations with sufficient theorems corollaries and examples and the geometrical interpretations in each topic. This textbook is intended to study the theory and methods of finding the explicit solutions to differential equations wherever possible and in the absence of finding explicit solutions it is intended to study the properties of solutions to the given differential equations. This book is based on syllabi of the theory of differential equations prescribed for postgraduate students of mathematics and applied mathematics in different institutions and universities of India and abroad. This book will be helpful for competitive examinations as well. | Textbook on Ordinary Differential Equations A Theoretical Approach

Electrical Power Systems Technology

Electrical Power Systems Technology Fourth Edition covers a wide range of technologies and systems used in the generation distribution control conversion and measurement of electrical power. This reference book provides a foundational overview presented in a basic easy-to-understand manner. The content is organized in a logical pedagogical style using five basic power system components – Measurement Generation Distribution Control and Conversion. Each of these basic systems is broken down into sub-systems equipment and components that are explored in greater detail in each of the 18 chapters. Simplified mathematical concepts are described with practical applications to assist in fundamental understanding. Abundant illustrations (almost one per page) are used to add visual information to supplement technical knowledge development. The fourth edition has been edited to provide improved information and clarity including many new illustrations. An additional chapter – Chapter 18 – Evolving Power System Technologies and Considerations – has been added to describe issues related to power system operation.

FM-UWB Transceivers for Autonomous Wireless Systems

Significant research effort has been devoted to the study and realization of autonomous wireless systems for wireless sensor and personal-area networking the internet of things and machine-to-machine communications. Low-power RF integrated circuits an energy harvester and a power management circuit are fundamental elements of these systems. An FM-UWB Transceiver for Autonomous Wireless Systems presents state-of-the-art developments in low-power FM-UWB transceiver realizations. The design performance and implementation of prototype transceivers in CMOS technology are presented. A working hardware realization of an autonomous node that includes a prototype power management circuit is also proposed and detailed in this book. Technical topics include: Low-complexity FM-UWB modulation schemesLow-power FM-UWB transceiver prototypes in CMOS technologyCMOS on-chip digital calibration techniquesSolar power harvester and power management in CMOS for low-power RF circuitsAn FM-UWB Transceiver for Autonomous Wireless Systems is an ideal text and reference for engineers working in wireless communication industries as well as academic staff and graduate students engaged in electrical engineering and communication systems research. | FM-UWB Transceivers for Autonomous Wireless Systems

Photonic Interconnects for Computing Systems Understanding and Pushing Design Challenges

In recent years there has been a considerable amount of effort both in industry and academia focusing on the design implementation performance analysis evaluation and prediction of silicon photonic interconnects for inter- and intra-chip communication paving the way for the design and dimensioning of the next and future generation of high-performance computing systems. Photonic Interconnects for Computing Systems provides a comprehensive overview of the current state-of-the-art technology and research achievements in employing silicon photonics for interconnection networks and high-performance computing summarizing main opportunities and some challenges. The majority of the chapters were collected from presentations made at the International Workshop on Optical/Photonic Interconnects for Computing Systems (OPTICS) held over the past two years. The workshop invites internationally recognized speakers on the range of topics relevant to silicon photonics and computing systems. Technical topics discussed in the book include:Design and Implementation of Chip-Scale Photonic Interconnects;Developing Design Automation Solutions for Chip-Scale Photonic Interconnects;Design Space Exploration in Chip-Scale Photonic Interconnects;Thermal Analysis and Modeling in Photonic Interconnects;Design for Reliability;Fabrication Non-Uniformity in Photonic Interconnects;Photonic Interconnects for Computing Systems presents a compilation of outstanding contributions from leading research groups in the field. It presents a comprehensive overview of the design advantages challenges and requirements of photonic interconnects for computing systems. The selected contributions present important discussions and approaches related to the design and development of novel photonic interconnect architectures as well as various design solutions to improve the performance of such systems while considering different challenges. The book is ideal for personnel in computer/photonic industries as well as academic staff and master/graduate students in computer science and engineering electronic engineering electrical engineering and photonics. | Photonic Interconnects for Computing Systems Understanding and Pushing Design Challenges

Advanced Control Systems Theory and Applications

Advanced Control Systems: Theory and Applications provides an overview of advanced research lines in control systems as well as in design development and implementation methodologies for perspective control systems and their components in different areas of industrial and special applications. It consists of extended versions of the selected papers presented at the XXV International Conference on Automatic Control “Automatics 2018” (September 18-19 2018 Lviv Ukraine) which is the main Ukrainian Control Conference organized by Ukrainian Association on Automatic Control (National member organization of IFAC) and Lviv National University “Lvivska Politechnica”. More than 100 papers were presented at the conference with topics including: mathematical problems of control optimization and game theory; control and identification under uncertainty; automated control of technical technological and biotechnical objects; controlling the aerospace craft marine vessels and other moving objects; intelligent control and information processing; mechatronics and robotics; information measuring technologies in automation; automation and IT training of personnel; the Internet of things and the latest technologies. The book is divided into two main parts the first concerning theory (7 chapters) and the second concerning applications (7 chapters) of advanced control systems. The first part “Advances in Theoretical Research on Automatic Control” consists of theoretical research results which deal with descriptor control impulsive delay systems motion control in condition of conflict inverse dynamic models invariant relations in optimal control robust adaptive control bio-inspired algorithms optimization of fuzzy control systems and extremal routing problem with constraints and complicated cost functions. The second part “Advances in Control Systems Applications” is based on the chapters which consider different aspects of practical implementation of advanced control systems in particular special cases in determining the spacecraft position and attitude using computer vision system the spacecraft orientation by information from a system of stellar sensors control synthesis of rotational and spatial spacecraft motion at approaching stage of docking intelligent algorithms for the automation of complex biotechnical objects an automatic control system for the slow pyrolysis of organic substances with variable composition simulation complex of hierarchical systems based on the foresight and cognitive modelling and advanced identification of impulse processes in cognitive maps. The chapters have been structured to provide an easy-to-follow introduction to the topics that are addressed including the most relevant references so that anyone interested in this field can get started in the area. This book may be useful for researchers and students who are interesting in advanced control systems. | Advanced Control Systems Theory and Applications

Security Architecture – How & Why

Security Architecture or Enterprise Information security architecture as it was originally coined by Gartner back in 2006 has been applied to many things and different areas making a concrete definition of security architecture a difficult proposition. But having an architecture for the cyber security needs of an organization is important for many reasons not least because having an architecture makes working with cyber security a much easier job since we can now build on a hopefully solid foundation. Developing a security architecture is a daunting job for almost anyone and in a company that has not had a cyber security program implemented before the job becomes even harder. The benefits of having a concrete cyber security architecture in place cannot be overstated! The challenge here is that a security architecture is not something that can stand alone it absolutely must be aligned with the business in which it is being implemented. This book emphasizes the importance and the benefits of having a security architecture in place. The book will be aligned with most of the sub-frameworks in the general framework called SABSA or Sherwood Applied Business Security Architecture. SABSA is comprised of several individual frameworks and there are several certifications that you can take in SABSA. Aside from getting a validation of your skills SABSA as a framework focuses on aligning the Security Architecture with the business and its strategy. Each of the chapters in this book will be aligned with one or more of the components in SABSA the components will be described along with the introduction to each of the chapters. | Security Architecture – How & Why

Machine Learning for Healthcare Systems Foundations and Applications

The introduction of digital technology in the healthcare industry is marked by ongoing difficulties with implementation and use. Slow progress has been made in unifying different healthcare systems and much of the world still lacks a fully integrated healthcare system. The intrinsic complexity and development of human biology as well as the differences across patients have repeatedly demonstrated the significance of the human element in the diagnosis and treatment of illnesses. But as digital technology develops healthcare providers will undoubtedly need to use it more and more to give patients the best treatment possible. The extensive use of machine learning in numerous industries including healthcare has been made possible by advancements in data technologies including storage capacity processing capability and data transit speeds. The need for a personalized medicine or precision medicine approach to healthcare has been highlighted by current trends in medicine due to the complexity of providing effective healthcare to each individual. Personalized medicine aims to identify forecast and analyze diagnostic decisions using vast volumes of healthcare data so that doctors may then apply them to each unique patient. These data may include but are not limited to information on a person’s genes or family history medical imaging data drug combinations patient health outcomes at the community level and natural language processing of pre-existing medical documentation. This book provides various insights into machine learning techniques in healthcare system data and its analysis. Recent technological advancements in the healthcare system represent cutting-edge innovations and global research successes in performance modelling analysis and applications. | Machine Learning for Healthcare Systems Foundations and Applications

Residential Energy Auditing and Improvement

This book is for energy auditors or retrofitters whether they work in the weatherization program or in the private arena and is intended to help them prepare for several certifications. These include programs with BPI RESNET-HERS DOE/NREL and AEE (Association of Energy Engineers). The material in this book contains industry procedures and techniques and is intended to be an educational resource. Topics covered include the house as a system the auditor’s tools weatherization sealants insulation and barriers retrofitting heating and cooling baseload and new construction. A number of additional appendices are included to provide the reader with valuable information in the performance of a residential energy audit. | Residential Energy Auditing and Improvement

Advanced Lighting Controls Energy Savings Productivity Technology and Applications

First published in 2005. Advanced Lighting Controls is edited by Craig DiLouie and written for engineers architects lighting designers electrical contractors distributors and building owners and managers. Advanced lighting controls indicated by research as the next big thing are now mandated by the ASHRAE/IES 91. 1-1999 energy standard the basis for all state energy codes in the U. S. and are becoming the norm rather than the exception in new construction. This book provides in-depth information about the major trends technologies codes and design techniques shaping the use of today's lighting control systems including dimming automatic switching and global as well as personal control. | Advanced Lighting Controls Energy Savings Productivity Technology and Applications

Explainable Artificial Intelligence for Biomedical Applications

Since its first appearance artificial intelligence has been ensuring revolutionary outcomes in the context of real-world problems. At this point it has strong relations with biomedical and today’s intelligent systems compete with human capabilities in medical tasks. However advanced use of artificial intelligence causes intelligent systems to be black-box. That situation is not good for building trustworthy intelligent systems in medical applications. For a remarkable amount of time researchers have tried to solve the black-box issue by using modular additions which have led to the rise of the term: interpretable artificial intelligence. As the literature matured (as a result of in particular deep learning) that term transformed into explainable artificial intelligence (XAI). This book provides an essential edited work regarding the latest advancements in explainable artificial intelligence (XAI) for biomedical applications. It includes not only introductive perspectives but also applied touches and discussions regarding critical problems as well as future insights. Topics discussed in the book include: XAI for the applications with medical images XAI use cases for alternative medical data/task Different XAI methods for biomedical applications Reviews for the XAI research for critical biomedical problems. Explainable Artificial Intelligence for Biomedical Applications is ideal for academicians researchers students engineers and experts from the fields of computer science biomedical medical and health sciences. It also welcomes all readers of different fields to be informed about use cases of XAI in black-box artificial intelligence. In this sense the book can be used for both teaching and reference source purposes.