|Author||: Siddhartha Bhattacharyya,Naba Kumar Mondal,Jan Platos,Vaclav Snasel,Pavel Kromer|
|Publisher||: Academic Press|
|Release Date||: 2020-11-01|
|ISBN 10||: 0128199245|
|Pages||: 344 pages|
Intelligent Environmental Data Monitoring for Pollution Management discusses evolving novel intelligent algorithms and their applications in the area of environmental data-centric systems guided by batch process-oriented data. Thus, the book ushers in a new era as far as environmental pollution management is concerned. It reviews the fundamental concepts of gathering, processing and analyzing data from batch processes, followed by a review of intelligent tools and techniques which can be used in this direction. In addition, it discusses novel intelligent algorithms for effective environmental pollution data management that are on par with standards laid down by the World Health Organization. Introduces novel intelligent techniques needed to address environmental pollution for the well-being of the global environment Offers perspectives on the design, development and commissioning of intelligent applications Provides reviews on the latest intelligent technologies and algorithms related to state-of-the-art methodologies surrounding the monitoring and mitigation of environmental pollution Puts forth insights on future generation intelligent pollution monitoring techniques
|Author||: Yunhe Pan|
|Release Date||: 2018-04-27|
|ISBN 10||: 9811063109|
|Pages||: 171 pages|
This book includes a general overview of the book series and summarizes the research results in its 13 subtopics. It systematically elaborates on how the construction and promotion of intelligent cities with Chinese characteristics could be implemented in the course of intelligent urbanization in China. Furthermore, it presents a variety of literature on urban management innovation and development, making it a valuable reference source on both the theoretic and empirical development of the new urbanization in China for intelligent-city decision-makers, c-level directors and officials in urban economy, social and environment departments and institutions all over the world.
|Author||: Niranjan N. Chiplunkar,Takanori Fukao|
|Publisher||: Springer Nature|
|Release Date||: 2020-08-13|
|ISBN 10||: 9811535140|
|Pages||: 1475 pages|
This book presents selected peer-reviewed papers from the International Conference on Artificial Intelligence and Data Engineering (AIDE 2019). The topics covered are broadly divided into four groups: artificial intelligence, machine vision and robotics, ambient intelligence, and data engineering. The book discusses recent technological advances in the emerging fields of artificial intelligence, machine learning, robotics, virtual reality, augmented reality, bioinformatics, intelligent systems, cognitive systems, computational intelligence, neural networks, evolutionary computation, speech processing, Internet of Things, big data challenges, data mining, information retrieval, and natural language processing. Given its scope, this book can be useful for students, researchers, and professionals interested in the growing applications of artificial intelligence and data engineering.
|Author||: Hui Liu|
|Publisher||: Springer Nature|
|Release Date||: 2020-03-25|
|ISBN 10||: 9811528373|
|Pages||: 314 pages|
Smart Cities: Big Data Prediction Methods and Applications is the first reference to provide a comprehensive overview of smart cities with the latest big data predicting techniques. This timely book discusses big data forecasting for smart cities. It introduces big data forecasting techniques for the key aspects (e.g., traffic, environment, building energy, green grid, etc.) of smart cities, and explores three key areas that can be improved using big data prediction: grid energy, road traffic networks and environmental health in smart cities. The big data prediction methods proposed in this book are highly significant in terms of the planning, construction, management, control and development of green and smart cities. Including numerous case studies to explain each method and model, this easy-to-understand book appeals to scientists, engineers, college students, postgraduates, teachers and managers from various fields of artificial intelligence, smart cities, smart grid, intelligent traffic systems, intelligent environments and big data computing.
Environmental Monitoring and Characterization is an integrated, hands-on resource for monitoring all aspects of the environment. Sample collection methods and relevant physical, chemical and biological processes necessary to characterize the environment are brought together in twenty chapters which cover: sample collection methods, monitoring terrestrial, aquatic and air environments, and relevant chemical, physical and biological processes and contaminants. This book will serve as an authoritative reference for advanced students and environmental professionals. Examines the integration of physical, chemical, and biological processes Emphasizes field methods and real-time data acquisition, made more accessible with case studies, problems, calculations, and questions Includes four color illustrations throughout the text Brings together the concepts of environmental monitoring and site characterization
|Author||: A. Muñoz,J. Park|
|Publisher||: IOS Press|
|Release Date||: 2019-06-20|
|ISBN 10||: 1614999694|
|Pages||: 120 pages|
The eventual aim when applying digital technologies in agriculture is to replace or reduce the human labor required for agricultural production. Large amounts of heterogeneous data are essential for integration studies of automated agriculture, and the digitalization of agriculture is helping to fulfill the demand for this data, but management of the data gathered presents its own challenges. That is where the Intelligent Environment (IE) paradigm comes into play to guide the design of the systems, techniques and algorithms able to analyze the data and provide recommendations for farmers, managers and other stakeholders. This book, Agriculture and Environment Perspectives in Intelligent Systems, is divided into 5 chapters. Chapter 1 explores the use of intelligent systems in Controlled Environment Agriculture (CEA) facilities; Chapter 2 reviews the adoption of intelligent systems in the research field of biomonitoring; Chapter 3 proposes an intelligent system to acquire and pre-process data for precision agriculture applications; Chapter 4 illustrates the use of intelligent algorithms to make more efficient use of scarce resources such as water; and Chapter 5 focuses on the generation of intelligent models to predict frosts in crops in south-eastern Spain. There is still a need to bridge the gap between the needs of farmers, environmental managers and stakeholders and the solutions offered by information and communication technology. This book will be of interest to all those working in the field.
|Author||: Kelley, George|
|Publisher||: IGI Global|
|Release Date||: 2008-08-31|
|ISBN 10||: 1605660930|
|Pages||: 530 pages|
"This book presents quality articles focused on key issues concerning the management and utilization of information technology"--Provided by publisher.
Examines the impact IT has on politics, education, sociology, and technology. Focuses on the benefits of IT for developing countries, whose problems must be solved, and obstacles overcome in order to further IT advancement.
|Author||: Ting Yu,Nitesh Chawla,Simeon Simoff|
|Publisher||: CRC Press|
|Release Date||: 2016-04-19|
|ISBN 10||: 1439895953|
|Pages||: 440 pages|
Going beyond performing simple analyses, researchers involved in the highly dynamic field of computational intelligent data analysis design algorithms that solve increasingly complex data problems in changing environments, including economic, environmental, and social data. Computational Intelligent Data Analysis for Sustainable Development present
Recoge : Introduction. - Digital Spaces. - Knowledge economy. - Connecting communities. - Enabling technologies.
Recoge: 1. Overview: Promoting a User friendly Information Society - 2. Projects Synopses:APNEE-Air Pollution Network for Early warning and....,APPETISE-Air Pollution Episodes,BLUEWATER-Computerised video camera image analysis for monitoring pollution in water,CLIFF-Cluster Initiative for Flood and Fire emergencies,COASTBASE-The Virtual European Coastal and Marine Data Warehouse...
Air pollution is thus far one of the key environmental issues in urban areas. Comprehensive air quality plans are required to manage air pollution for a particular area. Consequently, air should be continuously sampled, monitored, and modeled to examine different action plans. Reviews and research papers describe air pollution in five main contexts: Monitoring, Modeling, Risk Assessment, Health, and Indoor Air Pollution. The book is recommended to experts interested in health and air pollution issues.
|Author||: Nilgun B. Harmanciogammalu,M.N. Alpaslan,S.D. Ozkul,V.P. Singh|
|Publisher||: Springer Science & Business Media|
|Release Date||: 2012-12-06|
|ISBN 10||: 9401156166|
|Pages||: 546 pages|
An integrated approach to environmental data management is necessitated by the complexity of the environmental problems that need to be addresses, coupled with the interdisciplinary approach that needs to be adopted to solve them. Agenda 21 of the Rio Environmental Conference mandated international programmes and organizations to take steps to develop common data and information management plans, and steps have been taken in this direction. The key word that defines the framework of the present book is `integration'. The book establishes the basics of integrated approaches and covers environmental data management systems within that framework, covering all aspects of data management, from objectives and constraints, design of data collection networks, statistical and physical sampling, remote sensing and GIS, databases, reliability of data, data analysis, and the transformation of data into information.
Sensor Technologies: Healthcare, Wellness and Environmental Applications explores the key aspects of sensor technologies, covering wired, wireless, and discrete sensors for the specific application domains of healthcare, wellness and environmental sensing. It discusses the social, regulatory, and design considerations specific to these domains. The book provides an application-based approach using real-world examples to illustrate the application of sensor technologies in a practical and experiential manner. The book guides the reader from the formulation of the research question, through the design and validation process, to the deployment and management phase of sensor applications. The processes and examples used in the book are primarily based on research carried out by Intel or joint academic research programs. “Sensor Technologies: Healthcare, Wellness and Environmental Applications provides an extensive overview of sensing technologies and their applications in healthcare, wellness, and environmental monitoring. From sensor hardware to system applications and case studies, this book gives readers an in-depth understanding of the technologies and how they can be applied. I would highly recommend it to students or researchers who are interested in wireless sensing technologies and the associated applications.” Dr. Benny Lo Lecturer, The Hamlyn Centre, Imperial College of London “This timely addition to the literature on sensors covers the broad complexity of sensing, sensor types, and the vast range of existing and emerging applications in a very clearly written and accessible manner. It is particularly good at capturing the exciting possibilities that will occur as sensor networks merge with cloud-based ‘big data’ analytics to provide a host of new applications that will impact directly on the individual in ways we cannot fully predict at present. It really brings this home through the use of carefully chosen case studies that bring the overwhelming concept of 'big data' down to the personal level of individual life and health.” Dermot Diamond Director, National Centre for Sensor Research, Principal Investigator, CLARITY Centre for Sensor Web Technologies, Dublin City University "Sensor Technologies: Healthcare, Wellness and Environmental Applications takes the reader on an end-to-end journey of sensor technologies, covering the fundamentals from an engineering perspective, introducing how the data gleaned can be both processed and visualized, in addition to offering exemplar case studies in a number of application domains. It is a must-read for those studying any undergraduate course that involves sensor technologies. It also provides a thorough foundation for those involved in the research and development of applied sensor systems. I highly recommend it to any engineer who wishes to broaden their knowledge in this area!" Chris Nugent Professor of Biomedical Engineering, University of Ulster What you’ll learnThe relevant sensing approaches and the hardware and software components required to capture and interpret sensor data. The importance of regulations governing medical devices. A design methodology for developing and deploying successful home- and community-based technologies, supported by relevant case studies. Health, wellness, and environmental sensing applications and how they work. The challenges and future directions of sensing in these domains. Who this book is for Sensor Technologies: Healthcare, Wellness and Environmental Applications is targeted at clinical and technical researchers, engineers, and students who want to understand the current state of the art in sensor applications in these domains. The reader gains a full awareness of the key technical and non-technical challenges that must be addressed in the development of successful end-to-end sensor applications. Real-world examples help give the reader practical insights into the successful development, deployment, and management of sensor applications. The reader will also develop an understanding of the personal, social, and ethical impact of sensor applications, now and in the future. Table of ContentsChapter One: Introduction Chapter Goal: Reader should understand the key challenges and drivers for sensor application development. The reader should also understand how sensor technologies can play a role in addressing some of the key challenges facing global society in the short to medium term. 1. Book overview 2. Drivers for Sensor Applications (Infrastructure Growth in Developing Countries, Advances in Energy Harvesting, New Applications, Cost reduction, Real-time monitoring of situations to avoid unplanned downtime, Security (personal and national), the internet of things). 3. Challenges for Sensor Applications (Power, Efficient Operation in Harsh Environments, Number of Deployable Nodes, Safety and Regulations, High Cost of Installation, Security and Reliability, sensor management) 4. Global Megatrends and the opportunities for sensing technologies o Water and Food Constraints o Aging Demographics o Public Health o Pandemics o Security Chapter 2: Sensing and Sensor Fundamentals Chapter Goal: Reader should understand existing sensor technologies, which can be used in healthcare, wellness, and environmental domains. They should also understand the role of smart sensors and smart phones as mobile sensing platforms and aggregators. 1. Sensing Modalities (Mechanical, MEMS, Optical, ISFET, μTAS) 2. Sensing Domains (Air, Water, Noise, Bacterial, Chemical, Kinematic, DNA, Physiological) 3. Functional Characterisation of Sensors o Communication methods – discrete, wired, wireless o Smart Sensors and Sensor Platforms § MSP430 (SHIMMER and telosB motes) § ATmega § PIC 4. Smart Phones as mobile sensor platforms 5. Selecting and specifying sensors Chapter 3 Key Sensor Technology Components – Hardware and Software Overview Chapter Goal: Reader should have a high level understanding of the key hardware and software components, which are necessary for the development of sensors systems and why technologies are selected for specific applications. 1. Overview – Sensor systems 2. MCU’s (TI MSP430, ATmega, PIC) a. ADCs b. Interrupts c. Real-time Clocks 3. Sensor Interfaces a. Digital b. Analog c. I2C 4. Communications – wired and wireless interfaces RS232/485, USB, Ethernet, FieldbusProprietary Short Range Wireless Protocols (e.g. ANT, BodyLAN, Sensium)Standard Short Range Protocols i. IEEE 802.15.6 ii. Bluetooth/Smart Bluetooth iii. 802.15.4 iv. UWB Medium Range i. Wi-Fi 5. Data storage (EEPROM, sd card, data forwarding) 6. Power management and Energy Harvesting 7. Operating Systems and Software Development Environments (SDK’s) Chapter 4 Sensor Network Architectures Chapter Goal: Reader should understand the various approaches to the design of sensor network architectures; scaling from body worn systems, to ambient sensing, to city-scale deployments. The reader should also understand the advantages and disadvantages of current and evolving sensor network architectures. 1. Sensor network architectures o Discrete Sensor o Sensor to aggregator o PAN/WPAN/smart clothing o Pervasive/Ambient sensor networks o Wide area networks (city-wide, country wide) 2. Challenges in developing and deploying sensor networks 3. Current and Proposed Solutions o Remote sensor management o Edge Processing o Power harvesting o New communication standards Chapter 5: Adding Vibrancy to Sensor Data Chapter Goal: Reader should understand the various methods to interpret and display sensor data to the user. They will understand the importance of creating a data analysis plan from the outset, and the different types of data analysis throughout the application stack. 1. Data Literacy – How can we intuitively answer questions with sensor data and contextualise answers 2. Data Quality a. Calibration b. Trust and Repudiation 3. Sensor Fusion – combining sensory data from disparate sources 4. Data Mining 5. Data Visualisation 6. Openness, data integration, virtual sensors 7. Exploiting the power of the cloud Chapter 6: Regulation and Standards Chapter Goal: Reader should understand the key technologies, which impact or influence the development of sensor deployment and applications including the emerging standards and regulatory considerations. 1. Regulatory Standards (US, EU, Japan) : why, which, and how standards impact your application 2. Regulatory Issues: Certification 3. Smartphones Considerations o Privacy and data security 4. Standards Bodies and Industry Groups o Continua Healthcare Alliance o ISO/IEEE 11073 5. Wearable Wireless Health Communication Standards Chapter 7: Biosensing in Everyday Life – Driving Biocontextual Aware Computing Chapter Goal: Reader should understand the social relationships that create opportunities and barriers for widespread, consumer-based biosensing. The reader should understand how the social world is shifting from sensor technologies of “should” to sensor technologies of “could” to facilitate new understandings of health and wellness and drive new methods and practices of personal data sharing. 1. Data Security and Ownership - Sharing and Managing Personal Data 2. Game Changing Pressure for Affordable Healthcare 3. Continuous, Personal Data is Improving Lives 4. Emerging Tech-Empowered Citizens 5. Sensing for Self-Discovery, Culture and Play 6. User feedback/Supporting sustainable human behaviours – leveraging the gaming culture Chapter 8: Development and Deployment of Sensor Technologies for Home and Community Settings Chapter Goal: Reader should understand how to design a sensor deployment for a home or community. The chapter informs the reader how to formulate the research question the deployment will address, how to develop prototypes, and manage and deploy them successful. The chapter will finish with exemplar case studies of real world sensor deployments. Study Design – The Right QuestionHome Deployment ElementsHome Deployment ManagementThe Prototyping Design ProcessCase Studies Chapter 9: Body Worn and Ambient Sensor Applications for Assessment, Monitoring, and Diagnostics Chapter Goal: Reader should at the end of this chapter have an understanding of the key characteristics of how body worn and ambient sensor applications, and how they vary according to the domain in which they are deployed. The reader will be presented with the key challenges faced in each domain, and emerging solutions for these challenges. 1. Drivers and Inhibitors (Incidence of chronic diseases, aging demographics, Adjusting provider compensation, prevention, medical work practice changes) 2. Hospital based sensing for assessment and diagnosis 3. Supervised Assessment and Monitoring in Community Settings 4. Home Based Applications o Clinical grade sensing for patient monitoring o Body worn sensing (e.g. PERS) for monitoring and
The two-volume set IFIP AICT 363 and 364 constitutes the refereed proceedings of the 12th International Conference on Engineering Applications of Neural Networks, EANN 2011, and the 7th IFIP WG 12.5 International Conference, AIAI 2011, held jointly in Corfu, Greece, in September 2011. The 52 revised full papers and 28 revised short papers presented together with 31 workshop papers were carefully reviewed and selected from 150 submissions. The first volume includes the papers that were accepted for presentation at the EANN 2011 conference. They are organized in topical sections on computer vision and robotics, self organizing maps, classification/pattern recognition, financial and management applications of AI, fuzzy systems, support vector machines, learning and novel algorithms, reinforcement and radial basis function ANN, machine learning, evolutionary genetic algorithms optimization, Web applications of ANN, spiking ANN, feature extraction minimization, medical applications of AI, environmental and earth applications of AI, multi layer ANN, and bioinformatics. The volume also contains the accepted papers from the Workshop on Applications of Soft Computing to Telecommunication (ASCOTE 2011), the Workshop on Computational Intelligence Applications in Bioinformatics (CIAB 2011), and the Second Workshop on Informatics and Intelligent Systems Applications for Quality of Life Information Services (ISQLIS 2011).
The Internet of Things (IoT) usually refers to a world-wide network of interconnected heterogeneous objects (sensors, actuators, smart devices, smart objects, RFID, embedded computers, etc) uniquely addressable, based on standard communication protocols. Beyond such a definition, it is emerging a new definition of IoT seen as a loosely coupled, decentralized system of cooperating smart objects (SOs). A SO is an autonomous, physical digital object augmented with sensing/actuating, processing, storing, and networking capabilities. SOs are able to sense/actuate, store, and interpret information created within themselves and around the neighbouring external world where they are situated, act on their own, cooperate with each other, and exchange information with other kinds of electronic devices and human users. However, such SO-oriented IoT raises many in-the-small and in-the-large issues involving SO programming, IoT system architecture/middleware and methods/methodologies for the development of SO-based applications. This Book will specifically focus on exploring recent advances in architectures, algorithms, and applications for an Internet of Things based on Smart Objects. Topics appropriate for this Book include, but are not necessarily limited to: - Methods for SO development - IoT Networking - Middleware for SOs - Data Management for SOs - Service-oriented SOs - Agent-oriented SOs - Applications of SOs in Smart Environments: Smart Cities, Smart Health, Smart Buildings, etc. Advanced IoT Projects.
Included in this volume are papers presented at the Second International Conference on the Application of Artificial Intelligence to Civil & Structural Engineering, 3-5 September, 1991, Oxford.
Recoge: 1. Overview : promoting a user friendly information society - 2. Health : intelligent systems for health professionals - 3. Health : intelligent environment for the health of citizens - 4. Health : Intelligent systems for patients - 5. Persons with special needs including the disabled and the elderly : intelligent systems for independent living - 6. Persons with special needs including the disabled and the elderly : intelligent assistive systems - 7. Administrations : smart government - 8. Administrations : eDemocracy - 9. Environment : intelligent systems for risk and disaster management - 10. Environment : intelligent environmental monotoring and management systems - 11. Transport and tourism : mobility and intelligent infrastructures for transport - 12. Transport and tourism : intelligent vehicles - 13. Transport and tourism : intelligent systems for tourism.
Indexes material from conference proceedings and hard-to-find documents, in addition to journal articles. Over 1,000 journals are indexed and literature published from 1981 to the present is covered. Topics in pollution and its management are extensively covered from the standpoints of atmosphere, emissions, mathematical models, effects on people and animals, and environmental action. Major areas of coverage include: air pollution, marine pollution, freshwater pollution, sewage and wastewater treatment, waste management, land pollution, toxicology and health, noise, and radiation.