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Books on the topic 'Optical based sensor'

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Published: 6 September 2023

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1

Green, D. A. The BIRIS server: Integration of a three-dimensional range sensor into a harmony-based realtime architecture. Ottawa: National Research Council of Canada, 1992.

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2

Conference on Optical Fiber Sensor-Based Smart Materials and Structures (1991 Blacksburg, Va.). Proceedings of the Conference on Optical Fiber Sensor-Based Smart Materials and Structures: April 3-4, 1991, Blacksburg, Virginia. Lancaster, Pa: Technomic Pub. Co., 1991.

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3

Gregory, A. E. Studies leading to the development of an optical sensor for alkaline earth metal ions based on porphyrins. Manchester: UMIST, 1993.

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4

Smart Materials and Structures Workshop (5th 1992 Blacksburg, Va.). Fiber optic sensor-based smart materials and structures: Papers presented at the Fifth annual Smart Materials and Structures Workshop, Blacksburg, Virginia, 15-16 April 1992. Bristol: Institute of Physics Pub., 1992.

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5

Guang-Zhong, Yang, ed. Body sensor networks. London: Springer, 2006.

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6

Gupta, Banshi D., Anuj K. Sharma, and Jin Li. Plasmonics-Based Optical Sensors and Detectors. New York: Jenny Stanford Publishing, 2023. http://dx.doi.org/10.1201/9781003438304.

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7

Hornung, Mark R. Micromachined Ultrasound-Based Proximity Sensors. Boston, MA: Springer US, 1999.

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8

Goodlet, G. The development of optical sensors based on nedox reagents. Manchester: UMIST, 1993.

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9

Hucks, John A. Fusion of ground-based sensors for optimal tracking of military targets. Monterey, Calif: Naval Postgraduate School, 1989.

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10

Song, Zhen. Optimal Observation for Cyber-physical Systems: A Fisher-information-matrix-based Approach. London: Springer London, 2009.

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11

George C. Marshall Space Flight Center., ed. Project ORION: Orbital debris removal using ground-based sensors and lasers. [Marshall Space Flight Center, Ala.]: National Aeronautics and Space Administration, George C. Marshall Space Flight Center, 1996.

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12

D, Lara Yejas Oscar, ed. Human activity recognition: Using wearable sensors and smartphones. Boca Raton: Taylor & Francis, 2013.

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13

United States. National Aeronautics and Space Administration., ed. Optical sensors based on single arm thin film waveguide interferometer: Performance report, 1st year of three-year grant; period--August 1, 1996 to October 31, 1997; NASA grant NAG3-1956. [Washington, DC: National Aeronautics and Space Administration, 1997.

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14

Oh, Jonghak. Biosensors: Microorganism Sensor,Biomimetic Sensor,Electrochemical Biosensor,Immune Sensor,Glucose Sensor,Optical Biosensors,DNA/Nucleic Acid Sensor,Cell-Based Biosensor,Enzyme Sensor. Independently Published, 2021.

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15

Computer Vision and Sensor-Based Robots. Springer, 2011.

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16

Body Sensor Networks. Springer, 2014.

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17

Yang, Guang-Zhong. Body Sensor Networks. Springer, 2016.

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18

Yang, Guang-Zhong. Body Sensor Networks. Springer London, Limited, 2014.

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19

Yacoub, M., and Guang-Zhong Yang. Body Sensor Networks. Springer London, Limited, 2006.

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20

(Foreword), M. Yacoub, and Guang-Zhong Yang (Editor), eds. Body Sensor Networks. Springer, 2006.

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21

Claus, Richard O. Proceedings of the Conference on Optical Fiber Sensor-Based Smart Materials and Structures: April 3-4, 1991, Blacksburg, Virginia. Technomic Pub Co, 1991.

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22

Gupta, Banshi Dar, Sachin Kumar Srivastava, and Roli Verma. Fiber Optic Sensors Based on Plasmonics. World Scientific Publishing Co Pte Ltd, 2015.

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23

Sulfur Dioxide Sensors. Materials Research Forum LLC, 2021. http://dx.doi.org/10.21741/9781644901236.

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Recent progress on the sensing and monitoring of sulfur dioxide in the environment is presented. The sensing materials covered include potentiometric gas sensors, amperometric sensors, optical sensors involving colorimetric and fluorescence changes, sensors based on ionic liquids, semiconducting metal-oxide sensors, photoacoustic detectors and biosensors.
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24

Kumar, Santosh, Sanjeev Kumar Raghuwanshi, and Yadvendra Singh. 2D Materials for Surface Plasmon Resonance-Based Sensors. Taylor & Francis Group, 2021.

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25

Kumar, Santosh, Sanjeev Kumar Raghuwanshi, and Yadvendra Singh. 2D Materials for Surface Plasmon Resonance-Based Sensors. Taylor & Francis Group, 2021.

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26

Kumar, Santosh, Sanjeev Kumar Raghuwanshi, and Yadvendra Singh. 2d Materials for Surface Plasmon Resonance-Based Sensors. Taylor & Francis Group, 2021.

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27

2D Materials for Surface Plasmon Resonance-Based Sensors. Taylor & Francis Group, 2021.

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28

Chen, YangQuan, Zhen Song, Chellury R. Sastry, and Nazif C. Tas. Optimal Observation for Cyber-physical Systems: A Fisher-information-matrix-based Approach. Springer, 2014.

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29

Optimal combining of ground-based sensors for the purpose of validating satellite-based rainfall estimates: Final report. Iowa City, Iowa: Dept. of Civil and Environmental Engineering and Iowa Institute of Hydraulic Research, 1991.

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30

Abonyi, János, Ágnes Vathy-Fogarassy, and Dániel Leitold. Network-Based Analysis of Dynamical Systems: Methods for Controllability and Observability Analysis, and Optimal Sensor Placement. Springer, 2020.

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31

Labrador, Miguel A., and Oscar D. Lara Yejas. Human Activity Recognition: Using Wearable Sensors and Smartphones. Taylor & Francis Group, 2013.

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32

Optical sensors based on single arm thin film waveguide interferometer: Performance report, 1st year of three-year grant; period--August 1, 1996 to October 31, 1997; NASA grant NAG3-1956. [Washington, DC: National Aeronautics and Space Administration, 1997.

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33

Labrador, Miguel A., and Oscar D. Lara Yejas. Human Activity Recognition: Using Wearable Sensors and Smartphones. Taylor & Francis Group, 2013.

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34

Labrador, Miguel A. Human Activity Recognition: Using Wearable Sensors and Smartphones. Taylor & Francis Group, 2013.

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35

Kowalski, Marek A., Krzystof A. Sikorski, and Frank Stenger. Selected Topics in Approximation and Computation. Oxford University Press, 1995. http://dx.doi.org/10.1093/oso/9780195080599.001.0001.

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Selected Topics in Approximation and Computation addresses the relationship between modern approximation theory and computational methods. The text is a combination of expositions of basic classical methods of approximation leading to popular splines and new explicit tools of computation, including Sinc methods, elliptic function methods, and positive operator approximation methods. It also provides an excellent summary of worst case analysis in information based complexity. It relates optimal computational methods with the theory of s-numbers and n-widths. It can serve as a text for senior-graduate courses in computer science and applied mathematics, and also as a reference for professionals.
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36

and, Bruno. Object Perception and Recognition. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198725022.003.0004.

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Perceived objects are unitary entities that enter our consciousness as organized wholes distinct from other entities and from empty parts of the environment, that are amenable to bodily interactions, and that possess several features such as a three-dimensional structure, a location in space, a colour, a texture, a weight, a degree of rigidity, an odour, and so on. In this chapter, we will discuss perceptual processes responsible for forming such units within and between sensory channels, typically for the purpose of recognition. Our discussion of multisensory interactions in object perception will provide a useful domain for illustrating the key notion of optimal multisensory integration and for introducing Bayesian models of perception. These models provide important novel ways of addressing classical problems in the philosophy of perception, in influential historical approaches such as the Gestalt theory of perception, and in applications to rehabilitation based on sensory substitution.
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37

Lepora, Nathan F. Decision making. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0028.

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Decision making is the process by which alternatives are deliberated and chosen based on the values and goals of the decision maker. In this chapter, we describe recent progress in understanding how living organisms make decisions and the implications for engineering artificial systems with decision-making capabilities. Nature appears to re-use design principles for decision making across a hierarchy of organizational levels, from cells to organisms to entire populations. One common principle is that decision formation is realized by accumulating sensory evidence up to a threshold, approximating the optimal statistical technique of sequential analysis. Sequential analysis has applications spanning from cryptography to clinical drug testing. Artificial perception based on sequential analysis has advanced robot capabilities, enabling robust sensing under uncertainty. Future applications could lead to individual robots, or artificial swarms, that perceive and interact with complex environments with an ease and robustness now achievable only by living organisms.
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38

Tseng, Hua-an, Richie E. Kohman, and Xue Han. Optogenetics and Electrophysiology. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199939800.003.0009.

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Throughout the history of neuroscience, electrophysiological and imaging techniques have been utilized to observe neural signals at various spatial and temporal scales. However, it has been difficult to manipulate the activity of specific cells or neural circuits with the spatial and temporal resolutions relevant to neural coding. A novel technique called optogenetics, has recently been developed to control the activity of specific cells. This technique allows rapid and reversible optical activation or silencing of specific cells, which have been genetically transduced with light-sensitive molecules. The development of microbial opsin-based optogenetic molecular sensors has made optogenetics easily adaptable in various in vivo and in vitro preparations, and the technique has already been applied to understand neural circuit mechanisms of many behaviors and diseases. Here, we provide an introduction to optogenetics, the practical concerns in using the technique in vivo, and examples of applications that combine traditional electrophysiology techniques with optogenetics.
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39

Maquet, Pierre, and Julien Fanielle. Neuroimaging in normal sleep and sleep disorders. Edited by Sudhansu Chokroverty, Luigi Ferini-Strambi, and Christopher Kennard. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199682003.003.0011.

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Functional neuroimaging techniques include methods that probe various aspects of brain function and help derive models of brain organization in health and disease. These techniques can be grouped in two categories. Some are mainly based on electromagnetic signals (electroencephalography, magnetoencephalography), recording brain activity using a large number of sensors with exquisite temporal resolution (usually of the order of a kilohertz) but allowing only indirect characterization of three-dimensional brain activity by resorting to mathematical models. The second type includes different techniques (PET scan, SPECT, MRI, optical imaging) that typically assess metabolic or hemodynamic parameters, with millimeter spatial resolution and usually from the entire brain volume. However, temporal resolution is usually low because it is primarily driven by metabolic processes that unfold in several seconds or minutes. This chapter focuses on this second type, covering the contribution of brain imaging to understanding NREM sleep and REM sleep and also sleep disorders.
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40

Kissane, David W. Diagnosis and Treatment of Demoralization. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190491857.003.0003.

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Low morale can develop from a sense of poor coping with a predicament that cannot be changed, often encountered with progressive diseases like advanced cancer. The prevalence of clinically significant demoralization in patients with cancer is 15%. Demoralization can be diagnosed when a poor sense of coping is associated with low morale, reduced hope, and a sense of feeling stuck, with related symptoms of feeling helpless, pointless or purposeless, and with doubts about the value of continued life. Meaning-based coping may need to be evoked to reduce the accompanying distress and social and functional impairment that can develop. Diagnoses like demoralization syndrome, adjustment disorder with demoralization, and major depression with demoralization help to guide the optimal choice of treatment. Cognitively informed and existentially oriented therapies can help to restore morale and sustain engagement with the living.
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41

Beckman, Nancy J., and Marie B. Tobin. Psychiatric Comorbidities in Chronic Pain Syndromes. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190271787.003.0033.

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Psychiatric comorbidities are common in patients with chronic pain syndromes. Depression, anxiety, insomnia, somatic symptom disorder, substance use disorders, personality disorders, and problematic coping strategies present unique treatment challenges to pain medicine specialists. Patients with these comorbidities tend to have poorer response to treatment, higher rates of complications, and greater pain-related suffering. To reduce stigma, providers are encouraged to define pain as both a sensory and emotional experience. This intimate connection implies that optimal pain treatment requires concurrent attention to psychosocial well-being. Overlapping biological and psychologic mechanisms in the development of chronic pain and psychiatric disorders may contribute to the high rates of comorbidity. Methods for quickly identifying psychiatric disorders within busy clinic settings and brief interventions that pain specialists can deliver are described. Finally, indications for referral to specialty mental health and the benefits of multidisciplinary treatment, which can include psychiatric medications and evidence-based psychologic treatments, such as cognitive-behavioral therapy, are discussed.
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42

Deruelle, Nathalie, and Jean-Philippe Uzan. Electromagnetic waves. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198786399.003.0033.

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This chapter examines solutions to the Maxwell equations in a vacuum: monochromatic plane waves and their polarizations, plane waves, and the motion of a charge in the field of a wave (which is the principle upon which particle detection is based). A plane wave is a solution of the vacuum Maxwell equations which depends on only one of the Cartesian spatial coordinates. The monochromatic plane waves form a basis (in the sense of distributions, because they are not square-integrable) in which any solution of the vacuum Maxwell equations can be expanded. The chapter concludes by giving the conditions for the geometrical optics limit. It also establishes the connection between electromagnetic waves and the kinematic description of light discussed in Book 1.
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43

McKeon, Andrew, B. Mark Keegan, and W. Oliver Tobin. Mayo Clinic Cases in Neuroimmunology. Oxford University Press, 2021. http://dx.doi.org/10.1093/med/9780197583425.001.0001.

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In the past 2 decades, diagnostics and therapeutics in neuroimmunology have rapidly evolved and increased in complexity. Diagnosis is assisted by various laboratory and advanced imaging techniques. Randomized clinical trials in multiple sclerosis and neuromyelitis optica, and smaller studies for rarer autoimmune diseases, have led to distinct immune molecule–targeted and mechanism-specific therapies. The fields of cerebrovascular medicine, neurooncology, and neuroinfectious diseases have not remained static either. All of these gains present a challenge, however, in that early and accurate neurologic diagnosis is more important than ever. In our experience, some diagnostic pitfalls lie in the interpretation of test results and images without reference to the nuances of the clinical history and examination. Although some things change (eg, technology), other things never change (eg, clinical common sense). The 83 case-based chapters focus on key components of the history, examination and test findings, and differential diagnosis, although we also reference treatment approaches extensively throughout. To bring some form to this extensive repertoire of cases, the book is divided into 3 sections covering central nervous system demyelinating disease, autoimmune neurologic disorders, and others. Illustrations include imaging and, where relevant, pathologic images and video material. Board review–style questions are also provided.
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44

Davidson, Michael. Invalid Modernism. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198832812.001.0001.

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Invalid Modernism contributes to an intersectional moment in disability studies by looking at aesthetics through non-conforming bodies and minds. It also offers an intersectional understanding of modernism by studying the representation of physical and cognitive difference during a period marked by progressive reforms in health, labor, and welfare. Readings of texts by Henry James, Samuel Beckett, Virginia Woolf, William Carlos Williams, James Joyce, Djuna Barnes, Oscar Wilde, F. T. Marinetti, Jean Toomer, an opera by Alexander Zemlinsky, and paintings and constructions of Dadaists and Surrealists are set against historical developments in sexology, medical discourse, and eugenics and anthropometry. Modernist works are well known for challenging formal features of narration and representation, but this challenge has often been enabled by shell-shocked veterans, tubercular heroines, blind soothsayers, invalid aesthetes, and neurasthenic women. Such figures complicate an aesthetics of autonomy by which modernism is often understood. Since its evolution in the eighteenth century modern aesthetics has been seen in terms of judgments based on detached appreciation. What begins as a private sensory response to an object or natural formation results in a disinterested judgment about the value of that response. By looking at modernist aesthetics through a disability optic, Invalid Modernism attempts to restore the missing body to aesthetic discourse through figures marked by medical discourse of the period as “invalid” subjects.
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45

Guss-West, Clare. Attention and Focus in Dance. Human Kinetics, 2021. http://dx.doi.org/10.5040/9781718212718.

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The Western approach to dance is largely focused on control and mastery of technique, both of which are certainly necessary skills for improving performance. But mindful attention, despite its critical role in high performance, has gotten short shrift—until now. Attention and Focus in Dance, a how-to book rooted in the 20 years of attentional focus findings of researcher Gabriele Wulf, will help dancers unlock their power and stamina reserves, enabling efficient movement, heightening their sensory perception and releasing their dance potential. Author Clare Guss-West—a professional dancer, choreographer, teacher and holistic practitioner—presents a systematic, science-based approach to the mental work of dance. Her approach helps dancers hone the skills of attention, focus and self-cueing to replenish energy and enhance their physical and artistic performance. A Unique, Research-Based Approach Here is what Attention and Focus in Dance offers readers: • A unique approach, connecting the foundations of Eastern movement with Western movement forms • Research-based teaching practices in diverse contexts, including professional dance companies, private studios, and programmes for dancers with special needs or movement challenges • Testimonies and tips from international professional dancers and dance educators who use the book's approach in their training and teaching • A dance-centric focus that can be easily integrated into existing training and teaching practice, in rehearsal, or in rehabilitation contexts to provide immediate and long-term benefits Guss-West explores attentional focus techniques for dancers, teachers and dance health care practitioners, making practical connections between research, movement theory and day-to-day dance practice. “Many dancers are using excessive energy deployment and significant counterproductive effort, and that can lead to a global movement dysfunction, lack of stamina and an increased risk of injury,” says Guss-West. “Attentional focus training is the most relevant study that sport science and Eastern-movement practice can bring to dance.” Book Organisation The text is organised into two parts. Part I guides dancers in looking at the attentional challenges and information overload that many professional dancers suffer from. It outlines the need for a systematic attention and focus strategy, and it explains how scientific research on attentional focus relates to dance practice. This part also examines the ways in which Eastern-movement principles intersect with and complement scientific findings, and it examines how the Eastern and scientific concepts can breathe new life into basic dance elements such as posture, turnout and port de bras. Attention and focus techniques are included for replenishing energy and protecting against energy depletion and exhaustion. Part II presents attention and focus strategies for teaching, self-coaching and cueing. It addresses attentional focus cues for beginners and for more advanced dancers and professionals, and it places attentional focus in the broader context of holistic teaching strategies. Maximising Dance Potential “Whether cueing others or yourself, cueing for high performance is an art,” Guss-West says. “Readers will discover how to format cues and feedback to facilitate effective neuromuscular response and enhance dancer recall of information and accessibility while dancing.” Attention and Focus in Dance offers an abundance of research-backed concepts and inspirational ideas that can help dancers in their learning and performance. This book aids readers in filtering information and directing their focus for optimal physical effect. Ultimately, it guides dancers and teachers in being the best version of themselves and maximising their potential in dance.
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46

Kenyon, Ian R. Quantum 20/20. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198808350.001.0001.

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This text reviews fundametals and incorporates key themes of quantum physics. One theme contrasts boson condensation and fermion exclusivity. Bose–Einstein condensation is basic to superconductivity, superfluidity and gaseous BEC. Fermion exclusivity leads to compact stars and to atomic structure, and thence to the band structure of metals and semiconductors with applications in material science, modern optics and electronics. A second theme is that a wavefunction at a point, and in particular its phase is unique (ignoring a global phase change). If there are symmetries, conservation laws follow and quantum states which are eigenfunctions of the conserved quantities. By contrast with no particular symmetry topological effects occur such as the Bohm–Aharonov effect: also stable vortex formation in superfluids, superconductors and BEC, all these having quantized circulation of some sort. The quantum Hall effect and quantum spin Hall effect are ab initio topological. A third theme is entanglement: a feature that distinguishes the quantum world from the classical world. This property led Einstein, Podolsky and Rosen to the view that quantum mechanics is an incomplete physical theory. Bell proposed the way that any underlying local hidden variable theory could be, and was experimentally rejected. Powerful tools in quantum optics, including near-term secure communications, rely on entanglement. It was exploited in the the measurement of CP violation in the decay of beauty mesons. A fourth theme is the limitations on measurement precision set by quantum mechanics. These can be circumvented by quantum non-demolition techniques and by squeezing phase space so that the uncertainty is moved to a variable conjugate to that being measured. The boundaries of precision are explored in the measurement of g-2 for the electron, and in the detection of gravitational waves by LIGO; the latter achievement has opened a new window on the Universe. The fifth and last theme is quantum field theory. This is based on local conservation of charges. It reaches its most impressive form in the quantum gauge theories of the strong, electromagnetic and weak interactions, culminating in the discovery of the Higgs. Where particle physics has particles condensed matter has a galaxy of pseudoparticles that exist only in matter and are always in some sense special to particular states of matter. Emergent phenomena in matter are successfully modelled and analysed using quasiparticles and quantum theory. Lessons learned in that way on spontaneous symmetry breaking in superconductivity were the key to constructing a consistent quantum gauge theory of electroweak processes in particle physics.
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