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Realization Limits of Impulse-Radio UWB Indoor Localization Systems

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Book Series: Karlsruher Forschungsberichte aus dem Institut für Hochfrequenztechnik und Elektronik ISSN: 18684696 ISBN: 9783731501145 Year: Volume: 71 Pages: VIII, 192 p. DOI: 10.5445/KSP/1000036616 Language: ENGLISH
Publisher: KIT Scientific Publishing
Subject: Technology (General)
Added to DOAB on : 2019-07-30 20:01:59
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In this work, the realization limits of an impulse-based Ultra-Wideband (UWB) localization system for indoor applications have been thoroughly investigated and verified by measurements. The analysis spans from the position calculation algorithms, through hardware realization and modeling, up to the localization experiments conducted in realistic scenarios. The main focus was put on identification and characterization of limiting factors as well as developing methods to overcome them.

Emerging Technologies to Promote and Evaluate Physical Activity

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Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889192984 Year: Pages: 140 DOI: 10.3389/978-2-88919-298-4 Language: English
Publisher: Frontiers Media SA
Subject: Public Health --- Medicine (General)
Added to DOAB on : 2015-12-10 11:59:07
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Increasingly, efforts to promote and measure physical activity are achieving greater precision, greater ease of use, and/or greater scope by incorporating emerging technologies. This is significant for physical activity promotion because more precise measurement will allow investigators to better understand where, when, and how physical activity is and is not occurring, thus enabling more effective targeting of particular behavior settings. Emerging technologies associated with the measurement and evaluation of physical activity are noteworthy because: (1) Their ease of use and transferability can greatly increase external validity of measures and findings; (2) Technologies can significantly increase the ability to analyze patterns; (3) They can improve the ongoing, systematic collection and analysis of public health surveillance due to real-time capabilities associated with many emerging technologies; (4) There is a need for research and papers about the cyberinfrastructure required to cope with big data (multiple streams, processing, aggregation, visualization, etc.); and (5) Increasingly blurred boundaries between measurement and intervention activity (e.g., the quantified-self /self-tracking movement) may necessitate a reevaluation of the conventional scientific model for designing and evaluating these sorts of studies. There have been many recent, disparate advances related to this topic. Advances such as crowdsourcing allow for input from large, diverse audiences that can help to identify and improve infrastructure for activity (e.g., large group identification of environmental features that are conducive or inhibiting to physical activity on a national and even global scale). Technologies such as Global Positioning Systems (GPS) and accelerometry are now available in many mobile phones and can be used for identifying and promoting activity and also understanding naturalistically-occurring activity. SenseCam and other personal, visual devices and mobile apps provide person point of view context to physical activity lifestyle and timing. Further, multiple sensor systems are enabling better identification of types of activities (like stair climbing and jumping) that could not previously be identified readily using objective measures like pedometers or accelerometers in isolation. The ability of activity sensors to send data to remote servers allows for the incorporation of online technology (e.g., employing an online social-network as a source of inspiration or accountability to achieve physical activity goals), and websites such as Stickk.com enable individuals to make public contracts visible to other users and also incorporates financial incentives and disincentives in order to promote behaviors including physical activity. In addition, the increasing use of active-gaming (e.g., Wii, XBox Kinect) in homes, schools, and other venues further underscores the growing link between technology and physical activity. Improvements in mathematical models and computer algorithms also allow greater capacity for classifying and evaluating physical activity, improving consistency across research studies. Emerging technologies in the promotion and evaluation of physical activity is a significant area of interest because of its ability to greatly increase the amount and quality of global recorded measurements of PA patterns and its potential to more effectively promote PA. Emerging technologies related to physical activity build on our own and others’ interdisciplinary collaborations in employing technology to address public health challenges. This research area is innovative in that is uses emerging resources including social media, crowdsourcing, and online gaming to better understand patterns of physical activity.

Compartment Syndrome

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ISBN: 9783030223311 9783030223304 Year: Pages: 181 DOI: 10.1007/978-3-030-22331-1 Language: English
Publisher: Springer Nature
Subject: Medicine (General)
Added to DOAB on : 2019-10-01 11:36:08
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Compartment syndrome is a complex physiologic process with significant potential harm, and though an important clinical problem, the basic science and research surrounding this entity remains poorly understood. This unique open access book fills the gap in the knowledge of compartment syndrome, re-evaluating the current state of the art on this condition. The current clinical diagnostic criteria are presented, as well as the multiple dilemmas facing the surgeon. Pathophysiology, ischemic thresholds and pressure management techniques and limitations are discussed in detail. The main surgical management strategy, fasciotomy, is then described for both the upper and lower extremities, along with wound care. Compartment syndrome due to patient positioning, in children and polytrauma patients, and unusual presentations are likewise covered. Novel diagnosis and prevention strategies, as well as common misconceptions and legal ramifications stemming from compartment syndrome, round out the presentation.Unique and timely, Compartment Syndrome: A Guide to Diagnosis and Management will be indispensable for orthopedic and trauma surgeons confronted with this common yet challenging medical condition.

Application of Artificial Neural Networks in Geoinformatics

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ISBN: 9783038427421 9783038427414 Year: Pages: VI, 222 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Environmental Sciences
Added to DOAB on : 2018-04-27 16:05:32
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Recently, a need has arisen for prediction techniques that can address a variety of problems by combining methods from the rapidly developing field of machine learning with geoinformation technologies such as GIS, remote sensing, and GPS. As a result, over the last few decades, one particular machine learning technology, known as artificial neural networks, has been successfully applied to a wide range of fields in science and engineering. In addition, the development of computational and spatial technologies has led to the rapid growth of geoinformatics, which specializes in the analysis of spatial information. Thus, recently, artificial neural networks have been applied to geoinformatics and have produced valuable results in the fields of geoscience, environment, natural hazards, natural resources, and engineering. Hence, this Special Issue of the journal Applied Sciences, “Application of Artificial Neural Networks in Geoinformatics,” was successfully planned, and we here publish a collection of papers detailing novel contributions that are of relevance to these topics.

Visible Light Communication and Positioning

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ISBN: 9783039214358 9783039214365 Year: Pages: 144 DOI: 10.3390/books978-3-03921-436-5 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Added to DOAB on : 2019-12-09 11:49:16
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In recent years, wireless communications have significantly evolved due to the advanced technology of smartphones;, portable devices; and the rapid growth of Internet of Things, e-Health, and intelligent transportation systems . Moreover, there is anare increasing need fors of emerging intelligent services like positioning and sensing in athe future intelligence society. Recent years have witnessed the growing research interests and activities in the communication and intelligencet services in the optical wireless spectrum, as a complementary technology to more

Security in an Interconnected World

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Book Series: Research for Policy ISBN: 9783030376062 Year: Pages: 183 DOI: 10.1007/978-3-030-37606-2 Language: English
Publisher: Springer Nature
Subject: Political Science --- Agriculture (General) --- Economics
Added to DOAB on : 2020-05-14 09:27:38
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This open access book follows the idea that security policy must be based on strategic analysis. Defence policy and the role of the armed forces can subsequently be determined on the grounds of said analysis. More than ever, internal and external security, and developments both in the Netherlands and abroad are interconnected. The world order is shifting, the cooperation within NATO and the EU is under pressure and the Dutch armed forces are gasping for breath. What is the task of Dutch security and the defence policy? There have been growing calls in the last few years to end the devastating cuts in the defence budget and to invest more in security. The acute threats and conflicts in which the Netherlands are involved have served as a wake-up call. The shooting down of Flight MH17 over Ukraine, the streams of refugees from Syria and other countries, the conflict with Da’esh in Syria and Iraq, and terrorist threats reveal how events in many of the world’s flash-points have a direct or indirect impact on the Netherlands. Conflicts in other countries have a spill-over effect in The Netherlands. This is illustrated by tensions between population groups and the clashes over the Gülen schools after the failed putsch in Turkey on 15 July 2016 and over the constitutional referendum in that country. How do we ensure that any additional funds are not divided amongst the branches of the armed forces without any sense of strategic direction? What should a future-proof security policy that plots the course of defence policy entail? What strategic analyses should lie behind the political choices that are made? This book answers these questions and offers a comprehensive framework addressing among other things human security, national security and flow security.

Marketing for Sustainable Tourism

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ISBN: 9783039288731 / 9783039288748 Year: Pages: 260 DOI: 10.3390/books978-3-03928-874-8 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Economics
Added to DOAB on : 2020-06-09 16:38:57
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The aim of the Special Issue is to discuss the main current topics concerning marketing for sustainable tourism with reference to territories (i.e., tourism destinations, protected areas, parks and/or natural sites, UNESCO World Heritage Sites, rural regions/areas, etc.) and tourism enterprises and/or organisations (i.e., destination management organisations, hospitality enterprises, restaurant enterprises, cableway companies, travel agencies, etc.). In destinations where natural resources are pull factors for tourism development, the relationships among local actors (public, private, and local community), as well as marketing choices, are essential to develop sustainable tourism products. To this end, the Special Issue encourages papers that analyse marketing strategies adopted by tourism destinations and/or tourism enterprises to avoid overtourism, to manage mass sustainable tourism (as defined by Weaver, 2000), and to encourage and promote sustainable tourism in marginal areas or in territories suffering lack of integration in the tourism offer. Special attention will be given to contributions on the best practices to manage territories and/or enterprises adopting sustainable marketing strategies.

Keywords

tourism development --- economic growth --- panel threshold regression model --- disaster-stricken counties --- Wenchuan earthquake --- Butler’s Tourism Area Life Cycle --- customer satisfaction --- experiential marketing --- tourism factory --- tourism marketing --- service innovation --- post-industrial tourism --- The Industrial Monuments Route --- business models --- multi-attraction travel --- social network analysis --- degree centrality --- density --- tourist behaviors --- tourism destination image --- behavioral intention --- Chinese tourist --- hot spring --- customer satisfaction --- interpretive structural modeling --- decisive factors --- grounded theory --- country brand --- gastronomy --- tourism --- Spain --- ski-resort management --- ski-resort marketing --- ski resorts --- audit --- mountain tourism --- tourism development --- Lanzarote --- sustainability --- alternative product development --- strategy --- biospheric values --- environmental self-identity --- environmental self-efficacy --- personal norm --- tourists’ environmentally responsible behavior --- China --- Seasonality --- tourism demand --- expenditure --- seemingly unrelated regression --- destination marketing --- tourism advertisement --- sustainability --- responsible tourism --- transit port --- port of call --- Mediterranean cruise destinations --- experience economy --- pleasure --- satisfaction --- airport image --- sustainable development of airport --- destination offering --- destination attribute --- visitor experience --- online review --- micro-scale destination --- local attraction --- UCG --- economic sustainability --- sustainable tourism --- positioning --- destination marketing --- tourist intelligence --- n/a

MEMS Accelerometers

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ISBN: 9783038974147 9783038974154 Year: Pages: 252 DOI: 10.3390/books978-3-03897-415-4 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-06-26 08:44:06
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Micro-electro-mechanical system (MEMS) devices are widely used for inertia, pressure, and ultrasound sensing applications. Research on integrated MEMS technology has undergone extensive development driven by the requirements of a compact footprint, low cost, and increased functionality. Accelerometers are among the most widely used sensors implemented in MEMS technology. MEMS accelerometers are showing a growing presence in almost all industries ranging from automotive to medical. A traditional MEMS accelerometer employs a proof mass suspended to springs, which displaces in response to an external acceleration. A single proof mass can be used for one- or multi-axis sensing. A variety of transduction mechanisms have been used to detect the displacement. They include capacitive, piezoelectric, thermal, tunneling, and optical mechanisms. Capacitive accelerometers are widely used due to their DC measurement interface, thermal stability, reliability, and low cost. However, they are sensitive to electromagnetic field interferences and have poor performance for high-end applications (e.g., precise attitude control for the satellite). Over the past three decades, steady progress has been made in the area of optical accelerometers for high-performance and high-sensitivity applications but several challenges are still to be tackled by researchers and engineers to fully realize opto-mechanical accelerometers, such as chip-scale integration, scaling, low bandwidth, etc.

Keywords

low-temperature co-fired ceramic (LTCC) --- capacitive accelerometer --- wireless --- process optimization --- performance characterization --- MEMS accelerometer --- mismatch of parasitic capacitance --- electrostatic stiffness --- high acceleration sensor --- piezoresistive effect --- MEMS --- micro machining --- turbulent kinetic energy dissipation rate --- probe --- microelectromechanical systems (MEMS) piezoresistive sensor chip --- Taguchi method --- marine environmental monitoring --- accelerometer --- frequency --- acceleration --- heat convection --- motion analysis --- auto-encoder --- dance classification --- deep learning --- self-coaching --- wavelet packet --- classification of horse gaits --- MEMS sensors --- gait analysis --- rehabilitation assessment --- body sensor network --- MEMS accelerometer --- electromechanical delta-sigma --- built-in self-test --- in situ self-testing --- digital resonator --- accelerometer --- activity monitoring --- regularity of activity --- sleep time duration detection --- indoor positioning --- WiFi-RSSI radio map --- MEMS-IMU accelerometer --- zero-velocity update --- step detection --- stride length estimation --- field emission --- hybrid integrated --- vacuum microelectronic --- cathode tips array --- interface ASIC --- micro-electro-mechanical systems (MEMS) --- delaying mechanism --- safety and arming system --- accelerometer --- multi-axis sensing --- capacitive transduction --- inertial sensors --- three-axis accelerometer --- micromachining --- miniaturization --- stereo visual-inertial odometry --- fault tolerant --- hostile environment --- MEMS-IMU --- mode splitting --- Kerr noise --- angular-rate sensing --- whispering-gallery-mode --- optical microresonator --- three-axis acceleration sensor --- MEMS technology --- sensitivity --- L-shaped beam --- n/a

Product/Process Fingerprint in Micro Manufacturing

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ISBN: 9783039210343 9783039210350 Year: Pages: 274 DOI: 10.3390/books978-3-03921-035-0 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General)
Added to DOAB on : 2019-06-26 08:44:06
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The continuous miniaturization of products and the growing complexity of their embedded multifunctionalities necessitates continuous research and development efforts regarding micro components and related micro manufacturing technologies. Highly miniaturized systems, manufactured using a wide variety of materials, have found application in key technological fields, such as healthcare devices, micro implants, mobility, communications, optics, and micro electromechanical systems. Innovations required for the high-precision manufacturing of micro components can specifically be achieved through optimizations using post-process (i.e., offline) and in-process (i.e., online) metrology of both process input and output parameters, as well as geometrical features of the produced micro parts. However, it is of critical importance to reduce the metrology and optimization efforts, since process and product quality control can represent a significant portion of the total production time in micro manufacturing. To solve this fundamental challenge, research efforts have been undertaken in order to define, investigate, implement, and validate the so-called “product/process manufacturing fingerprint” concept. The “product manufacturing fingerprint” concept refers to those unique dimensional outcomes (e.g., surface topography, form error, critical dimensions, etc.) on the produced component that, if kept under control and within specifications, ensure that the entire micro component complies to its specifications. The “process manufacturing fingerprint” is a specific process parameter or feature to be monitored and controlled, in order to maintain the manufacture of products within the specified tolerances. By integrating both product and process manufacturing fingerprint concepts, the metrology and optimization efforts are highly reduced. Therefore, the quality of the micro products increases, with an obvious improvement in production yield. Accordingly, this Special Issue seeks to showcase research papers, short communications, and review articles that focus on novel methodological developments and applications in micro- and sub-micro-scale manufacturing, process monitoring and control, as well as micro and sub-micro product quality assurance. Focus will be on micro manufacturing process chains and their micro product/process fingerprint, towards full process optimization and zero-defect micro manufacturing.

Keywords

micro-injection moulding --- quality assurance --- process monitoring --- micro metrology --- positioning platform --- Halbach linear motor --- commercial control hardware --- diffractive optics --- gratings --- microfabrication --- computer holography --- manufacturing signature --- process fingerprint --- Fresnel lenses --- injection compression molding --- injection molding --- micro structures replication --- confocal microscopy --- optical quality control --- uncertainty budget --- optimization --- precision injection molding --- quality control --- process monitoring --- product fingerprint --- process fingerprint --- electrical discharge machining --- electrical discharge machining (EDM) --- surface roughness --- surface integrity --- optimization --- desirability function --- satellite drop --- electrohydrodynamic jet printing --- charge relaxation time --- laser ablation --- superhydrophobic surface --- process fingerprint --- product fingerprint --- surface morphology --- artificial compound eye --- multi-spectral imaging --- lithography --- spectral splitting --- plasma-electrolytic polishing --- PeP --- surface modification --- finishing --- electro chemical machining --- ECM --- Electro sinter forging --- resistance sintering --- electrical current --- fingerprints --- electrical discharge machining --- micro drilling --- process monitoring --- quality control --- electrochemical machining (ECM) --- process control --- current monitoring --- current density --- surface roughness --- inline metrology --- haptic actuator --- impact analysis --- high strain rate effect --- damping --- 2-step analysis --- micro-grinding --- bioceramics --- materials characterisation --- dental implant --- microinjection moulding --- process fingerprints --- flow length --- quality assurance --- n/a

Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing

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ISBN: 9783039212156 9783039212163 Year: Pages: 438 DOI: 10.3390/books978-3-03921-216-3 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering --- Mechanical Engineering
Added to DOAB on : 2019-12-09 11:49:15
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As computer and space technologies have been developed, geoscience information systems (GIS) and remote sensing (RS) technologies, which deal with the geospatial information, have been rapidly maturing. Moreover, over the last few decades, machine learning techniques including artificial neural network (ANN), deep learning, decision tree, and support vector machine (SVM) have been successfully applied to geospatial science and engineering research fields. The machine learning techniques have been widely applied to GIS and RS research fields and have recently produced valuable results in the areas of geoscience, environment, natural hazards, and natural resources. This book is a collection representing novel contributions detailing machine learning techniques as applied to geoscience information systems and remote sensing.

Keywords

landslide --- bagging ensemble --- Logistic Model Trees --- GIS --- Vietnam --- colorization --- random forest regression --- grayscale aerial image --- change detection --- gully erosion --- environmental variables --- data mining techniques --- SCAI --- GIS --- mapping --- single-class data descriptors --- materia medica resource --- Panax notoginseng --- one-class classifiers --- geoherb --- change detection --- convolutional network --- deep learning --- panchromatic --- remote sensing --- remote sensing image segmentation --- convolutional neural networks --- Gaofen-2 --- hybrid structure convolutional neural networks --- winter wheat spatial distribution --- classification-based learning --- real-time precise point positioning --- convergence time --- ionospheric delay constraints --- precise weighting --- landslide --- weights of evidence --- logistic regression --- random forest --- hybrid model --- traffic CO --- traffic CO prediction --- neural networks --- GIS --- land use/land cover (LULC) --- unmanned aerial vehicle --- texture --- gray-level co-occurrence matrix --- machine learning --- crop --- landslide susceptibility --- random forest --- boosted regression tree --- information gain --- landslide susceptibility map --- ALS point cloud --- multi-scale --- classification --- large scene --- coarse particle --- particulate matter 10 (PM10) --- landsat image --- machine learning --- support vector machine --- high-resolution --- optical remote sensing --- object detection --- deep learning --- transfer learning --- land subsidence --- Bayes net --- naïve Bayes --- logistic --- multilayer perceptron --- logit boost --- change detection --- convolutional network --- deep learning --- panchromatic --- remote sensing --- leaf area index (LAI) --- machine learning --- Sentinel-2 --- sensitivity analysis --- training sample size --- spectral bands --- spatial sparse recovery --- constrained spatial smoothing --- spatial spline regression --- alternating direction method of multipliers --- landslide prediction --- machine learning --- neural networks --- model switching --- spatial predictive models --- predictive accuracy --- model assessment --- variable selection --- feature selection --- model validation --- spatial predictions --- reproducible research --- Qaidam Basin --- remote sensing --- TRMM --- artificial neural network --- n/a

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