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Wearable Electronics and Embedded Computing Systems

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ISBN: 9783038423874 9783038423867 Year: Pages: XII, 242 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Biology --- Internal medicine --- Mathematics
Added to DOAB on : 2017-05-15 08:24:05
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Wearable electronics and embedded computing systems have been receiving a great deal of interest over the last two decades in research and commercial fields, with a special focus on biomedical applications. The key benefits introduced by these systems include their small size, lightweight, low-power consumption, and, of course, wearability. Major human-centered applications are related to medicine, enabling outpatient care and enhancing the quality of life for chronic disease patients, maybe preventing unnecessary hospitalization. These technological devices can indeed be cost effective and provide doctors with more accurate and reliable data.Exemplary engineering input has focused on developing innovative sensing platforms, adaptable to different environments and user needs, smart textile technology, miniaturized electronics and sensors, energy harvesting, wireless body area networks, and so on. This has provided the possibility of gathering information on several activities, such as during daily activities or sleep, during specific tasks, at home, in the lab, and in the clinic, in the form of physiological signals.This book includes cutting-edge research articles, as well as reviews describing and assessing wearable devices, or proposing novel wearable sensors, computational efficient algorithms for physiological signal processing through embedded computing, collection of environmental/behavioral/psychological data, data fusion, detection and quantification of symptoms, decision support for medical doctors, and communication between patient and doctor.

Recent Developments in Smart Healthcare

Authors: --- ---
ISBN: 9783038426448 9783038426455 Year: Pages: 362 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Computer Science
Added to DOAB on : 2018-01-12 11:34:38
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Medicine is undergoing a sector-wide transformation thanks to the advances in computing and networking technologies. Healthcare is changing from reactive and hospital-centered to preventive and personalized, from disease focused to well-being centered. In essence, the healthcare systems, as well as fundamental medicine research, are becoming smarter. We anticipate significant improvements in areas ranging from molecular genomics and proteomics to decision support for healthcare professionals through big data analytics, to support behavior changes through technology-enabled self-management, and social and motivational support. Furthermore, with smart technologies, healthcare delivery could also be made more efficient, higher quality, and lower cost. In this special issue, we received a total 45 submissions and accepted 19 outstanding papers that roughly span across several interesting topics on smart healthcare, including public health, health information technology (Health IT), and smart medicine.

Cognitive Aspects of Human-Computer Interaction for GIS

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ISBN: 9783039215683 9783039215690 Year: Pages: 196 DOI: 10.3390/books978-3-03921-569-0 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Computer Science
Added to DOAB on : 2019-12-09 16:10:12
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The book is dealing with recent progress in human–computer interaction (HCI) related to geographic information science (GIS). The Editorial starts with an overview about the evolution of the Internet and first HCI concepts and stimulates recent HCI developments using 3D and 4D apps, running on all mobile devices with OS Android, iOS, Linus, and Windows. Eight research articles present the state-of-the-art in HCI–GIS-related issues, starting with gender and age differences in using indoor maps via the estimation of building heights from space to an efficient visualization method for polygonal data with dynamic simplification. The review article deals with progress and challenges on entity alignment of geographic knowledge bases.

Approaches, Advances and Applications in Sustainable Development of Smart Cities

Authors: --- ---
ISBN: 9783039280124 / 9783039280131 Year: Pages: 308 DOI: 10.3390/books978-3-03928-013-1 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Economics
Added to DOAB on : 2020-06-09 16:38:57
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This book aims to contribute to the conceptual and practical knowledge pools in order to improve the research and practice on the sustainable development of smart cities by bringing an informed understanding of the subject to scholars, policymakers, and practitioners. This book seeks articles offering insights into the sustainable development of smart cities by providing in-depth conceptual analyses and detailed case study descriptions and empirical investigations. This way, the book will form a repository of relevant information, material, and knowledge to support research, policymaking, practice, and transferability of experiences to address aforementioned challenges. The scope of the book includes the following broad areas, with a particular focus on the approaches, advances, and applications in the sustainable development of smart cities: • Theoretical underpinnings and analytical and policy frameworks; • Methodological approaches for the evaluation of smart and sustainable cities; • Technological developments in the techno-enviro nexus; • Global best practice smart city case investigations and reports; • Geo-design and applications concerning desired urban outcomes; • Prospects, implications, and impacts concerning the future of smart and sustainable cities.

Keywords

tourist island --- innovation hub --- knowledge-based urban development --- knowledge and innovation economy --- smart city --- urban branding --- urban policy --- economic resilience --- Florianópolis --- Brazil --- city branding --- sustainable urban development --- rentier state --- Qatar --- emirates --- smart cities --- mobility --- visioning --- policy --- energy budget --- land cover ratio --- sensible heat flux --- heat mitigation --- thermal environment improvement --- sustainability --- in-situ validation --- spatial typification by heat flux --- smart cities --- commons --- digital commons --- governance --- e-government --- smart governance --- new public service --- Brazil --- smart cities --- smart display --- smart placemaking --- human–computer interaction --- user characteristics --- media façade --- intuitive interaction --- living-lab --- optimal cities --- energy autonomy --- low-carbon resources --- multi-energy networks --- parametric optimisation --- CO2 networks --- drinking water networks --- reliability --- economic cost --- model predictive control --- linear parameter varying --- smart city --- multi-agent systems --- gamification --- photovoltaics --- renewable energy systems --- spatial databases --- climate change --- climate emergency --- climate crisis --- global warming --- sustainable urban development --- sustainable development goals --- smart cities --- disasters --- urban health --- urban policy --- smart cities --- Shenzhen --- Chinese cities --- latecomer’s advantage --- sustainability --- smart city --- sustainable smart city --- smart infrastructure --- smart urban technology --- smart governance --- sustainable city --- sustainable urban development --- knowledge-based urban development --- climate change --- urban informatics --- urban policy

Deep Learning Applications with Practical Measured Results in Electronics Industries

Authors: --- --- ---
ISBN: 9783039288632 / 9783039288649 Year: Pages: 272 DOI: 10.3390/books978-3-03928-864-9 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2020-06-09 16:38:57
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This book collects 14 articles from the Special Issue entitled “Deep Learning Applications with Practical Measured Results in Electronics Industries” of Electronics. Topics covered in this Issue include four main parts: (1) environmental information analyses and predictions, (2) unmanned aerial vehicle (UAV) and object tracking applications, (3) measurement and denoising techniques, and (4) recommendation systems and education systems. These authors used and improved deep learning techniques (e.g., ResNet (deep residual network), Faster-RCNN (faster regions with convolutional neural network), LSTM (long short term memory), ConvLSTM (convolutional LSTM), GAN (generative adversarial network), etc.) to analyze and denoise measured data in a variety of applications and services (e.g., wind speed prediction, air quality prediction, underground mine applications, neural audio caption, etc.). Several practical experiments were conducted, and the results indicate that the performance of the presented deep learning methods is improved compared with the performance of conventional machine learning methods.

Keywords

computational intelligence --- offshore wind --- forecasting --- machine learning --- neural networks --- neuro-fuzzy systems --- humidity sensor --- data fusion --- nonlinear optimization --- multiple linear regression --- GSA-BP --- geometric errors correction --- kinematic modelling --- lateral stage errors --- Imaging Confocal Microscope --- K-means clustering --- data partition --- Least Squares method --- deep learning --- multivariate time series forecasting --- multivariate temporal convolutional network --- CNN --- hyperspectral image classification --- information measure --- transfer learning --- neighborhood noise reduction --- visual tracking --- update occasion --- update mechanism --- background model --- network layer contribution --- saliency information --- geometric errors --- rigid body kinematics --- lateral stage errors --- imaging confocal microscope --- MCM uncertainty evaluation --- dot grid target --- smart grid --- foreign object --- binary classification --- convolutional network --- image inpainting --- content reconstruction --- instance segmentation --- underground mines --- intelligent surveillance --- residual networks --- compressed sensing --- image compression --- image restoration --- discrete wavelet transform --- intelligent tire manufacturing --- digital shearography --- faster region-based CNN --- tire bubble defects --- tire quality assessment --- unmanned aerial vehicle --- UAV --- trajectory planning --- GA --- A* --- multiple constraints --- recommender system --- human computer interaction --- eye-tracking device --- deep learning --- oral evaluation --- generative adversarial network --- neural audio caption --- gated recurrent unit --- long short-term memory --- deep learning --- machine learning --- supervised learning --- unsupervised learning --- reinforcement learning --- optimization techniques

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