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381.
Magnetic resonance spectroscopy measurements of intragastric fat fraction of oil emulsions in humans
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Mahamoud O. Hussein Caroline L. Hoad Mary C. Stephenson Eleanor F. Cox Elisa Placidi Susan E. Pritchard Carolyn Costigan Henelyta. Ribeiro Elisabetta Ciampi Pip Rayment Asish Nandi Nick Hedges Paul Sanderson Harry P.F. Peters Irmela Kruse Luca Marciani Robin C. Spiller Penny A. Gowland 《European Journal of Lipid Science and Technology》2015,117(1):31-36
382.
Electric discharge is a common tool nowadays for machining of materials. It may be through a liquid medium or through air. Any metals, hard alloys, and nonmetals can be machined using the energy of electric discharge. In electric discharge machining (EDM), the discharge occurs between two electrodes through a liquid medium and it is applicable only for electrically conducting materials and alloys. In electrochemical discharge machining (ECDM), the medium is an aqueous electrolyte and it is of two types. In the first type, the discharge occurs between two electrodes. One of the electrodes is the workpiece, and the other is the tool. In the second type, the discharge occurs between one electrode and an electrolyte. It is used for electrically nonconducting materials and the discharge energy is utilized maintaining the nonconducting workpiece in proximity of the discharge. All these electrical discharges are transient phenomena and do not result in a stable discharge in the form of arc. The output parameters depend on the discharge energy that requires precise control to maintain the accuracy of the machining. For micromachining, the control of the discharge is paramount both in terms of energy and pattern. Using various shaped tools, machining media with additives, different types of applied potentials, and supporting mechanical motions are some of the attempts made to improve the machining output. Optimization of these parameters for machining particular materials (or alloys) is a popular field of research. The present work is directed toward the investigation of discharge initiation and development by analyzing the cell current and discharge voltage relationship for both EDM and ECDM. The rectangular direct current (DC) pulse with different frequencies and the duty factor (on-off time ratio) are used for investigation. Observations on the voltage-current relationship are made for the external potential prior to discharge at discharge and above the discharge potential. Though the external potential above the discharge voltage is useful for machining, these observations elucidate the mechanism regarding the initiation of the electric discharge under different conditions. The manner of discharge development in dielectrics and electrolytes is observed to be different. This understanding will aid in deciding the design of the discharge circuit including the external potential and its pattern for certain desired outputs in machining.The full text can be downloaded at https://link.springer.com/article/10.1007/s40436-018-0221-1 相似文献
383.
Onsite mine fire generates large volumes of heat-affected coal in Jharia coalfields,India.Direct utilization of such heat-affected coal in thermal utilities is ... 相似文献
384.
In this paper, new measures—called clustering performance measures (CPMs)—for assessing the reliability of a clustering algorithm
are proposed. These CPMs are defined using a validation measure, which determines how well the algorithm works with a given set of parameter values, and a repeatability measure, which is used for studying the stability of the clustering solutions and has the ability to estimate the correct number
of clusters in a dataset. These proposed CPMs can be used to evaluate clustering algorithms that have a structure bias to
certain types of data distribution as well as those that have no structure biases. Additionally, we propose a novel cluster
validity index, V
I
index, which is able to handle non-spherical clusters. Five clustering algorithms on different types of real-world data and
synthetic data are evaluated. The first dataset type refers to a communications signal dataset representing one modulation
scheme under a variety of noise conditions, the second represents two breast cancer datasets, while the third type represents
different synthetic datasets with arbitrarily shaped clusters. Additionally, comparisons with other methods for estimating
the number of clusters indicate the applicability and reliability of the proposed cluster validity
V
I
index and repeatability measure for correct estimation of the number of clusters.
Sameh A. Salem graduated with a BSc degree in Communications and Electronics Engineering and an MSc in Communications and Electronics Engineering, both from Helwan University, Cairo, Egypt, in May 1998 and October 2003, respectively. He is currently pursuing PhD degree in the Signal Processing and Communications Group, Department of Electrical Engineering and Electronics, The University of Liverpool, UK. His research interests include clustering algorithms, machine learning, and parallel computing. Asoke K. Nandi received PhD degree from the University of Cambridge (Trinity College), Cambridge, UK, in 1979. He held several research positions in Rutherford Appleton Laboratory (UK), European Organisation for Nuclear Research (Switzerland), Department of Physics, Queen Mary College (London, UK) and Department of Nuclear Physics (Oxford, UK). In 1987, he joined the Imperial College, London, UK, as the Solartron Lecturer in the Signal Processing Section of the Electrical Engineering Department. In 1991, he joined the Signal Processing Division of the Electronic and Electrical Engineering Department in the University of Strathclyde, Glasgow, UK, as a Senior Lecturer; subsequently, he was appointed as a Reader in 1995 and a Professor in 1998. In March 1999, he moved to the University of Liverpool, Liverpool, UK to take up his appointment with David Jardine, Chair of Signal Processing in the Department of Electrical Engineering and Electronics. In 1983, he was a member of the UA1 team at CERN that discovered the three fundamental particles known as W+, W− and Z0 providing the evidence for the unification of the electromagnetic and weak forces, which was recognised by the Nobel Committee for Physics in 1984. Currently, he is the Head of the Signal Processing and Communications Research Group with interests in the areas of non-Gaussian signal processing, communications, and machine learning research. With his group he has been carrying out research in machine condition monitoring, signal modelling, system identification, communication signal processing, biomedical signals, ultrasonics, blind source separation, and blind deconvolution. He has authored or co-authored over 350 technical publications, including two books “Automatic Modulation Recognition of Communications Signals” (Kluwer Academic, Boston, MA, 1996) and “Blind Estimation Using Higher-Order Statistics” (Kluwer Academic, Boston, MA, 1999) and over 140 journal papers. Professor Nandi was awarded the Mounbatten Premium, Division Award of the Electronics and Communications Division, of the Institution of Electrical Engineers of the UK in 1998 and the Water Arbitration Prize of the Institution of Mechanical Engineers of the UK in 1999. He is a Fellow of the Cambridge Philosophical Society, the Institution of Engineering and Technology, the Institute of Mathematics and its applications, the Institute of Physics, the Royal Society for Arts, the Institution of Mechanical Engineers, and the British Computer Society. 相似文献
Asoke K. NandiEmail: |
Sameh A. Salem graduated with a BSc degree in Communications and Electronics Engineering and an MSc in Communications and Electronics Engineering, both from Helwan University, Cairo, Egypt, in May 1998 and October 2003, respectively. He is currently pursuing PhD degree in the Signal Processing and Communications Group, Department of Electrical Engineering and Electronics, The University of Liverpool, UK. His research interests include clustering algorithms, machine learning, and parallel computing. Asoke K. Nandi received PhD degree from the University of Cambridge (Trinity College), Cambridge, UK, in 1979. He held several research positions in Rutherford Appleton Laboratory (UK), European Organisation for Nuclear Research (Switzerland), Department of Physics, Queen Mary College (London, UK) and Department of Nuclear Physics (Oxford, UK). In 1987, he joined the Imperial College, London, UK, as the Solartron Lecturer in the Signal Processing Section of the Electrical Engineering Department. In 1991, he joined the Signal Processing Division of the Electronic and Electrical Engineering Department in the University of Strathclyde, Glasgow, UK, as a Senior Lecturer; subsequently, he was appointed as a Reader in 1995 and a Professor in 1998. In March 1999, he moved to the University of Liverpool, Liverpool, UK to take up his appointment with David Jardine, Chair of Signal Processing in the Department of Electrical Engineering and Electronics. In 1983, he was a member of the UA1 team at CERN that discovered the three fundamental particles known as W+, W− and Z0 providing the evidence for the unification of the electromagnetic and weak forces, which was recognised by the Nobel Committee for Physics in 1984. Currently, he is the Head of the Signal Processing and Communications Research Group with interests in the areas of non-Gaussian signal processing, communications, and machine learning research. With his group he has been carrying out research in machine condition monitoring, signal modelling, system identification, communication signal processing, biomedical signals, ultrasonics, blind source separation, and blind deconvolution. He has authored or co-authored over 350 technical publications, including two books “Automatic Modulation Recognition of Communications Signals” (Kluwer Academic, Boston, MA, 1996) and “Blind Estimation Using Higher-Order Statistics” (Kluwer Academic, Boston, MA, 1999) and over 140 journal papers. Professor Nandi was awarded the Mounbatten Premium, Division Award of the Electronics and Communications Division, of the Institution of Electrical Engineers of the UK in 1998 and the Water Arbitration Prize of the Institution of Mechanical Engineers of the UK in 1999. He is a Fellow of the Cambridge Philosophical Society, the Institution of Engineering and Technology, the Institute of Mathematics and its applications, the Institute of Physics, the Royal Society for Arts, the Institution of Mechanical Engineers, and the British Computer Society. 相似文献
385.
Tayal Shubham Ajayan J. Joseph L. M. I. Leo Tarunkumar J. Nirmal D. Jena Biswajit Nandi Ashutosh 《SILICON》2022,14(7):3543-3550
Silicon - In this article, the analog/RF performance of n-channel vertically stacked gate all around (GAA) silicon nanosheet field effect transistors (Si-NSFETs) are investigated using 3-D TCAD... 相似文献