Conferences related to Chemical compounds

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2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

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


2020 IEEE 70th Electronic Components and Technology Conference (ECTC)

ECTC is the premier international conference sponsored by the IEEE Components, Packaging and Manufacturing Society. ECTC paper comprise a wide spectrum of topics, including 3D packaging, electronic components, materials, assembly, interconnections, device and system packaging, optoelectronics, reliability, and simulation.


2020 IEEE International Conference on Plasma Science (ICOPS)

IEEE International Conference on Plasma Science (ICOPS) is an annual conference coordinated by the Plasma Science and Application Committee (PSAC) of the IEEE Nuclear & Plasma Sciences Society.


2020 IEEE International Electron Devices Meeting (IEDM)

the IEEE/IEDM has been the world's main forum for reporting breakthroughs in technology, design, manufacturing, physics and the modeling of semiconductors and other electronic devices. Topics range from deep submicron CMOS transistors and memories to novel displays and imagers, from compound semiconductor materials to nanotechnology devices and architectures, from micromachined devices to smart -power technologies, etc.


2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

The Conference focuses on all aspects of instrumentation and measurement science andtechnology research development and applications. The list of program topics includes but isnot limited to: Measurement Science & Education, Measurement Systems, Measurement DataAcquisition, Measurements of Physical Quantities, and Measurement Applications.


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Periodicals related to Chemical compounds

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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


Control Systems Technology, IEEE Transactions on

Serves as a compendium for papers on the technological advances in control engineering and as an archival publication which will bridge the gap between theory and practice. Papers will highlight the latest knowledge, exploratory developments, and practical applications in all aspects of the technology needed to implement control systems from analysis and design through simulation and hardware.


Device and Materials Reliability, IEEE Transactions on

Provides leading edge information that is critical to the creation of reliable electronic devices and materials, and a focus for interdisciplinary communication in the state of the art of reliability of electronic devices, and the materials used in their manufacture. It focuses on the reliability of electronic, optical, and magnetic devices, and microsystems; the materials and processes used in the ...


Dielectrics and Electrical Insulation, IEEE Transactions on

Electrical insulation common to the design and construction of components and equipment for use in electric and electronic circuits and distribution systems at all frequencies.


Display Technology, Journal of

This publication covers the theory, design, fabrication, manufacturing and application of information displays and aspects of display technology that emphasize the progress in device engineering, device design, materials, electronics, physics and reliabilityaspects of displays and the application of displays.


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Most published Xplore authors for Chemical compounds

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Xplore Articles related to Chemical compounds

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Design and Realization of Emergency Space Database for Chemical Accident Based on GIS

2008 4th International Conference on Wireless Communications, Networking and Mobile Computing, 2008

Hazardous chemical accidents are frequently and terribly threatening the safety of people's lives and the ecological environment. In order to manage hazardous chemical effectively and dispose chemical accident accurately in good time, aimed at large numbers of types and attribute of chemicals and its voluminous accident data, a compound emergency space database for chemical accident was built up based on ...


Graph Code Based Isomorphism Query on Graph Data

2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity), 2015

The field of graph datasets and graph query processing has received a lot of attention due to constantly increasing usage of graph data structures for representing data in different domains. Storing the graph in large dataset is a challenging task as it deals with efficient space and time management. To ensure the consistency of graph dataset, one of the necessary ...


Discovery of inexact concepts from structural data

IEEE Transactions on Knowledge and Data Engineering, 1993

Concept discovery in structural data requires the identification of repetitive substructures in the data. A method for discovering substructures in data using an inexact graph match is described. An implementation of the authors' SUBDUE system that employs an inexact graph match to discover substructures which occur often in the data, but not always in the same form, is described. This ...


Joint structure feature exploration and regularization for multi-task graph classification

2016 IEEE 32nd International Conference on Data Engineering (ICDE), 2016

We formulate a new multi-task graph classification (MTG) problem, where multiple graph classification tasks are jointly regularized to find discriminative subgraphs shared by all tasks for learning. More details can be found in [1].


Origin Of Strong Intrinsic Kerr Effect In FePt And FePd Ordered Compounds

1997 IEEE International Magnetics Conference (INTERMAG), 1997

None


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Educational Resources on Chemical compounds

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IEEE.tv Videos

Larson Collection interview with Melvin Calvin
Parallelized Linear Classification with Volumetric Chemical Perceptrons - Jacob Rosenstein - ICRC 2018
Engineering the Future - Frances Arnold, Ph.D.
Microstructure-Property Correlations in Superconducting Wires - Applied Superconductivity Conference 2018
2013 IEEE Corporate Innovation Award
M. George Craford accepts the IEEE Edison Medal - Honors Ceremony 2017
Niobium Manufacturing for Superconductivity - ASC-2014 Plenary series - 5 of 13 - Tuesday 2014/8/12
Spin Dynamics in Inhomogeneously Magnetized Systems - Teruo Ono: IEEE Magnetics Society Distinguished Lecture 2016
The Emerging Field of Biomedical Engineering
Engineering Our Future - Q and A with Panel
Q&A with Kip Ludwig: IEEE Brain Podcast, Episode 7
IEEE Magnetics 2014 Distinguished Lectures - Tim St Pierre
Larson Collection interview with William Alfred Fowler
GHTC 2012 - Krista Bauer Keynote
Superconductors for the Future from the Perspective of the Past
Single Crystal AlGaN Bulk Acoustic Wave Resonators on Silicon Substrates with High Electromechanical Coupling: RFIC Industry Showcase
Nanotechnology For Electrical Engineers
Larson Collection interview with Linus Pauling, part 1
Life Sciences: Surface Enhanced Raman Spectroscopy, and more
Engineering The Future - Jon Spaihts Opening Remarks

IEEE-USA E-Books

  • Design and Realization of Emergency Space Database for Chemical Accident Based on GIS

    Hazardous chemical accidents are frequently and terribly threatening the safety of people's lives and the ecological environment. In order to manage hazardous chemical effectively and dispose chemical accident accurately in good time, aimed at large numbers of types and attribute of chemicals and its voluminous accident data, a compound emergency space database for chemical accident was built up based on GIS. That include image database, attribute database, mathematical model database and decision-making database By the general control module, the general work environment of space database was formed, so as to realize the data collecting and update, information query, dynamic simulation display, emergency analysis and assessment, assisting decision-making and so on. Every function of the space database and the process of building the space database were systematically discussed.

  • Graph Code Based Isomorphism Query on Graph Data

    The field of graph datasets and graph query processing has received a lot of attention due to constantly increasing usage of graph data structures for representing data in different domains. Storing the graph in large dataset is a challenging task as it deals with efficient space and time management. To ensure the consistency of graph dataset, one of the necessary procedures required is a mechanism to checks whether two graphs are automorphic or not. Given a graph query, it is also desirable to query isomorphic graphs quickly and efficiently from a large dataset via its index. In this paper, we propose a graph isomorphism querying approach that based on graph code. Graph code is a graph representative structure that can preserve the structural information of the original graph. Graph isomorphism query can be efficiently processed via trie that is constructed on graph codes of the data graphs. The experimental results and comparisons offer a positive response to the proposed approach.

  • Discovery of inexact concepts from structural data

    Concept discovery in structural data requires the identification of repetitive substructures in the data. A method for discovering substructures in data using an inexact graph match is described. An implementation of the authors' SUBDUE system that employs an inexact graph match to discover substructures which occur often in the data, but not always in the same form, is described. This inexact substructure discovery can be used to formulate fuzzy concepts, compress the data description, and discover interesting structures in data that are found either in an identical or in a slightly convoluted form. Examples from the domains of scene analysis and chemical compound analysis demonstrate the benefits of the inexact discovery technique.<<ETX>>

  • Joint structure feature exploration and regularization for multi-task graph classification

    We formulate a new multi-task graph classification (MTG) problem, where multiple graph classification tasks are jointly regularized to find discriminative subgraphs shared by all tasks for learning. More details can be found in [1].

  • Origin Of Strong Intrinsic Kerr Effect In FePt And FePd Ordered Compounds

    None

  • Adsorption Behavior of P-Chlorophenol on the Reed Wetland Soils

    Investigation of the adsorption behavior of organic pollutants by soils is fundamental to simulating and eventually predicting their transport in environmental compartments. The adsorption behavior of p-chlorophenol by soils from yancheng reed wetland was studied in a series of batch equilibration experiments, and experiments were analyzed by Langmuir and Freundlich isotherm equation. Results showed that the adsorption process could be described with both Freundlich and Langmuir isotherms. But the empirical Freundlich equation fit the behavior better, and the highest correlation coefficient, r=0.9690, was obtained. Parameters affected the adsorption property of p-chlorophenol, such as solution pH, ionic strength and soil organic matter, were also studied. Adsorption capacity increased with lower pH, higher ionic strength and soil OC.

  • Design of a low cost sensor system for the determination of the number of somatic cells in milk using bioluminescence analysis

    Mastitis, inflammation of the mammary glands of the cows, causes big financial losses in milk production each year. As these losses have been calculated to reach $50 million US in several countries, a good screening method for the rapid detection of mastitis helps minimize this problem. The determination of the somatic cell content of milk is a valuable means of detecting mastitis. Conventional methods used to estimate it include electronic cell counting and microscopy techniques. The presence of several chemical compounds in milk, has also been suggested as providing the basis for new screening methods to detect mastitis. One of the most promising of these methods is that described in this paper: the determination of the number of somatic cells in milk using bioluminescence analysis. So, this detection system can be used directly by the own cattleman without the need of waiting for the reports of the Laboratory.

  • Further Development on Area Measurement Using Sinusoidal Image Perturbation

    A more thorough examination of an area-measurement system employing chemical arrays is presented. An improvement in area-measurement accuracy is obtained when the amplitude of the sinusoidal perturbation signal is increased beyond the array-connector separation. The measurement error for various images in different positions on the receptor-connector matrix is considered.

  • Identification of typical wine aromas by means of an electronic nose

    In the field of electronic noses it is not very usual to find many applications in wine detection. Most of them are related to discrimination of wines in order to prevent their illegal adulteration and detection of off- odours but their objective is not the identification of wine aromas. In this paper, an e-nose using headspace as an extraction technique is used for the identification of typical aromatic compounds present in white and red wines. The descriptors of these compounds are: fruity, floral, herbaceous, vegetative, spicy, smoky, and microbiological and they are responsible for the usual aromas in wines; concentrations differ from 2 to 10 times the threshold concentration humans can smell. Some of the measured aromas are: pear, apple, peach, coconut, rose, geranium, cut green grass, mint, vanilla, clove, almond, toast, wood and butter. Principal component analysis (PCA) shows datasets of this group of compounds are clearly separated and radial basis neural networks (RB-NN) show a 98% rate of success in classification.

  • Primary Studies on the Chemical Constituents of Jinkuishenqi Pills Metabolized In Vivo by LC-MS

    To identify the chemical constituents in Jinkuishenqi pills metabolized in vivo. Analysis and comparison were carried out by LC- ESI-MS among rats' serum samples obtained after oral administration of different ingredient preparations such as Jinkuishenqi pills , Jinkuishenqi Pills without one of ingredients and single ingredient crude drug and control serum. The compounds absorbed into blood , their original crude drugs and their metabolites were identified. Seventeen compounds were detected after oral administration of Jinkuishenqi Pills, six of that are metabolites and others are the original form of the compounds contained in Jinkuishenqi pills. Identified and presumed 12 constituents absorbed into blood by LC- ESI-MS technique. Among the total, the prime contents are galic acid, 5- HMFA, morroniside, loganin, Oxypaeoniflorin, paeoniflorinhandhpaeonolh The metabolized contents gare,4- dihydroxyacetophenone,4-methoxylacetophenone-2-0- glycuronate,h2,4-dihydroxyac etophenone-S-O-sulphate,2-dihydroxy-4-methoxylacetophenone-S-O-sulphate. The compounds absorbed into blood and its metabolites are capable of being the effective constituents , the results provide a basic data for the further studies on effective constituents and the effecting mechanism of Jinkuishenqi pills.


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