Influenza

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Influenza, commonly referred to as the flu, is an infectious disease caused by RNA viruses of the family Orthomyxoviridae (the influenza viruses), that affects birds and mammals. (Wikipedia.org)






Conferences related to Influenza

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2019 20th International Conference on Solid-State Sensors, Actuators and Microsystems & Eurosensors XXXIII (TRANSDUCERS & EUROSENSORS XXXIII)

The world's premiere conference in MEMS sensors, actuators and integrated micro and nano systems welcomes you to attend this four-day event showcasing major technological, scientific and commercial breakthroughs in mechanical, optical, chemical and biological devices and systems using micro and nanotechnology.The major areas of activity in the development of Transducers solicited and expected at this conference include but are not limited to: Bio, Medical, Chemical, and Micro Total Analysis Systems Fabrication and Packaging Mechanical and Physical Sensors Materials and Characterization Design, Simulation and Theory Actuators Optical MEMS RF MEMS Nanotechnology Energy and Power


2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops andinvitedsessions of the latest significant findings and developments in all the major fields ofbiomedical engineering.Submitted papers will be peer reviewed. Accepted high quality paperswill be presented in oral and postersessions, will appear in the Conference Proceedings and willbe indexed in PubMed/MEDLINE & IEEE Xplore


2019 IEEE 19th International Conference on Nanotechnology (IEEE-NANO)

DNA Nanotechnology Micro-to-nano-scale Bridging Nanobiology and Nanomedicine Nanoelectronics Nanomanufacturing and Nanofabrication Nano Robotics and Automation Nanomaterials Nano-optics, Nano-optoelectronics and Nanophotonics Nanofluidics Nanomagnetics Nano/Molecular Heat Transfer & Energy Conversion Nanoscale Communication and Networks Nano/Molecular Sensors, Actuators and Systems


2019 IEEE Industry Applications Society Annual Meeting

The Annual Meeting is a gathering of experts who work and conduct research in the industrial applications of electrical systems.


2019 IEEE International Conference on E-health Networking, Application & Services (HealthCom)

IEEE Healthcom 2019 aims at bringing together interested parties from around the world working in the healthcare field to exchange ideas, discuss innovative and emerging solutions, and develop collaborations.


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Periodicals related to Influenza

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Aerospace and Electronic Systems Magazine, IEEE

The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.


Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Antennas and Wireless Propagation Letters, IEEE

IEEE Antennas and Wireless Propagation Letters (AWP Letters) will be devoted to the rapid electronic publication of short manuscripts in the technical areas of Antennas and Wireless Propagation.


Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


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Most published Xplore authors for Influenza

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Xplore Articles related to Influenza

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Calculators

IEEE Annals of the History of Computing, 1998

The Calculators column is intended to focus on that aspect of computing history that in many respects preceded the introduction of the computer and has paralleled the computer for the past 50 years as the original "desktop" machine, and in later years as the "pocket" machine. Through this column one hopes to provide information for historians and collectors about the ...


Computation of Inductance and Capacitance Matrices

Digest of the Fifth Biennial IEEE Conference on Electromagnetic Field Computation, 1992

Summary from only given, as follows. Analysis of any electromagnetic system under transient conditions requires a knowledge of parameters such as inductances and capacitances at the relevant frequencies. In most cases due to the high frequencies involved, complex geometry of the system and absence of symmetry, direct calculation of these parameters with an acceptable degree of accuracy is not possible. ...


Neural networks applied for induction motor speed sensorless estimation

1995 Proceedings of the IEEE International Symposium on Industrial Electronics, 1995

In this paper, two schemes using neural networks (NN) as speed estimators in induction motor field oriented controlled (FOC) drives are compared. The first estimator consists of a two-layer neural network (often called a perceptron) while in the second a three-layer neural network is used for motor speed estimation. Both estimators are simulated with an indirect field oriented controller (IFOC) ...


Processing Near Infrared Spectroscopy Signals Using Canonical Correlation Analysis

2006 IEEE 14th Signal Processing and Communications Applications, 2006

Functional near infrared spectroscopy signals (fNIRS) are measured by a number of LED-detector pairs. Estimation of event related responses from these signals needs multivariate analysis methods. This study concentrates on a particular multivariate method, namely the canonical correlation analysis and investigates its use for eliminating trend and noise effects from fNIRS signals and estimating event related haemodynamic response. Proposed methods ...


I<sup>2</sup>L with self-aligned double-diffusion injector

1976 IEEE International Solid-State Circuits Conference. Digest of Technical Papers, 1976

A I2L structure embracing a self-aligned double diffusion injector will be described. A power delay product of 0.06 pJ/gate with a minimum delay of 10 ns at 80 μW have been obtained.


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IEEE.tv Videos

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IEEE-USA E-Books

  • Calculators

    The Calculators column is intended to focus on that aspect of computing history that in many respects preceded the introduction of the computer and has paralleled the computer for the past 50 years as the original "desktop" machine, and in later years as the "pocket" machine. Through this column one hopes to provide information for historians and collectors about the world of calculators.

  • Computation of Inductance and Capacitance Matrices

    Summary from only given, as follows. Analysis of any electromagnetic system under transient conditions requires a knowledge of parameters such as inductances and capacitances at the relevant frequencies. In most cases due to the high frequencies involved, complex geometry of the system and absence of symmetry, direct calculation of these parameters with an acceptable degree of accuracy is not possible. Furthermore, in systems with close couplings, mutual effects can not be determined from simple calculations. The proposed paper presents a method based on finite element to determine inductance and capacitance matrices of the stator winding of a 3-phase induction motor when the machine is subjected to steep fronted switching surges. The finite element method is used to solve the equations describing the electromagnetic field distribution within the system for magnetic vector potential. Integration over relevant distances is then used to calculate total magnetic flux passing through any given area from which self and mutal inductances are determined. Similarly, electric field analysis and energy considerations are used to determine various capacitance values within the system.

  • Neural networks applied for induction motor speed sensorless estimation

    In this paper, two schemes using neural networks (NN) as speed estimators in induction motor field oriented controlled (FOC) drives are compared. The first estimator consists of a two-layer neural network (often called a perceptron) while in the second a three-layer neural network is used for motor speed estimation. Both estimators are simulated with an indirect field oriented controller (IFOC) for induction motor drives.

  • Processing Near Infrared Spectroscopy Signals Using Canonical Correlation Analysis

    Functional near infrared spectroscopy signals (fNIRS) are measured by a number of LED-detector pairs. Estimation of event related responses from these signals needs multivariate analysis methods. This study concentrates on a particular multivariate method, namely the canonical correlation analysis and investigates its use for eliminating trend and noise effects from fNIRS signals and estimating event related haemodynamic response. Proposed methods are applied to real cognitive data for validation

  • I<sup>2</sup>L with self-aligned double-diffusion injector

    A I2L structure embracing a self-aligned double diffusion injector will be described. A power delay product of 0.06 pJ/gate with a minimum delay of 10 ns at 80 μW have been obtained.

  • Differentially DC biased type magnetic field sensor of high sensitivity

    The detection principle of a novel magnetic field sensor called the differentially-DC-biased magnetic field sensor which uses a magnetic core is described. The detectable lower limit is extended up to the order of 10/sup -13// square root Hz by virtue of the detection principle used, which is analogous to the equilibrium condition of ordinary bridge circuits. By using two cores, a kind of bridge circuit is constituted. The field to be detected breaks the equilibrium condition, which leads to the variation of incremental permeability. The means adapted to detect the variation with high sensitivity are described.<<ETX>>

  • Multiparameter magnetomechanical properties measurements with application to microstructural NDE

    None

  • DQFS service: a tunable scheme to reduce scheduling overhead in integrated services networks

    Discrete service disciplines have been shown capable of emulating the ideal Generalized Processor Sharing discipline within one maximum-sized packet's transmission time. As a result, the accuracy of such schemes increases with improvements in link speed due to the corresponding reduction in packet transmission delay. However, the merits of such accuracy diminish with improvements in link speed as its impact on call admission decisions decreases. Meanwhile, overhead, in terms of the number of scheduling decisions to be made per unit time, increases with the number of packets transmitted. In response, this paper will present the DQFS service discipline which enables GPS emulation servers to dynamically "tune" their service quanta based upon the QoS requirements of their currently supported applications rather than the network's maximal packet size. It will also demonstrate how the overhead of a GPS emulation server can be reduced in high speed networks without jeopardizing QoS guarantees or adversely impacting fairness.

  • An integrated passive microfluidic device for rapid detection of influenza a (H1N1) virus by reverse transcription loop-mediated isothermal amplification (RT-LAMP)

    This study presents a passive, self-driven microfluidic device which can rapidly identify influenza A (H1N1) virus by using reverse transcription loop- mediated isothermal amplification (RT-LAMP). H1N1-specific aptamer conjugated magnetic beads were used to capture virus and the RT-LAMP product could be detected by visual coloration. The entire diagnosis could be automatically performed by capillary forces through a new polydimethylsiloxane (PDMS) surface treatment in cooperation with hydrophobic microvalves. The entire assay and its feasibility was verified. This is the first time that a simple, self-driven passive microfluidic chip was demonstrated which could perform the entire process including sample pretreatment, RT-LAMP application and influenza A diagnosis.

  • A non-homogenous hidden Markov model for statistical evaluation of food functionality

    In recent years, the mechanism on how food have influence on health have been of great interest from the medical standpoint. For this research, the measurements on medical and genic factors have been carried out through clinical trials and the statistical methods for evaluating food functionality have been considered. Standard methods such as linear regressions and statistical tests, however, may not necessarily contribute to reliable medical assessments, because of the difficulty in expressing the distributions of the medical data by a normal distribution. Our goal throughout this article is to develop a new method for expressing the distribution of medical data and its application to the evaluation of food functionality. More specifically, we deal with a prediction problem on time-varying distribution of H1 influenza virus antibody titer after ingesting mushroom. For prediction, we develop a model for expressing a mixture probability distribution on the antibody titer in the class of non-homogenous hidden Markov model. Our prediction experiments have shown that the presented method improves the prediction accuracy in the case of using a standard multiple regression model, which gave a justification of introducing the model structure.



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