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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.
The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.
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.
This conference provides an exchange of technical topics in the fields of Solid State Modulators and Switches, Breakdown and Insulation, Compact Pulsed Power Systems, High Voltage Design, High Power Microwaves, Biological Applications, Analytical Methods and Modeling, and Accelerators.
The scope of the 2020 IEEE/ASME AIM includes the following topics: Actuators, Automotive Systems, Bioengineering, Data Storage Systems, Electronic Packaging, Fault Diagnosis, Human-Machine Interfaces, Industry Applications, Information Technology, Intelligent Systems, Machine Vision, Manufacturing, Micro-Electro-Mechanical Systems, Micro/Nano Technology, Modeling and Design, System Identification and Adaptive Control, Motion Control, Vibration and Noise Control, Neural and Fuzzy Control, Opto-Electronic Systems, Optomechatronics, Prototyping, Real-Time and Hardware-in-the-Loop Simulation, Robotics, Sensors, System Integration, Transportation Systems, Smart Materials and Structures, Energy Harvesting and other frontier fields.
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.
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 ...
The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...
The IEEE Reviews in Biomedical Engineering will review the state-of-the-art and trends in the emerging field of biomedical engineering. This includes scholarly works, ranging from historic and modern development in biomedical engineering to the life sciences and medicine enabled by technologies covered by the various IEEE societies.
Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.
Tsinghua Science and Technology, 2008
This paper characterizes quality, budget, and demand as fuzzy variables in a fuzzy vendor selection expected value model and a fuzzy vendor selection chance-constrained programming model, to maximize the total quality level. The two models have distinct advantages over existing methods for selecting vendors in fuzzy environments. A genetic algorithm based on fuzzy simulations is designed to solve these two ...
1996 8th European Signal Processing Conference (EUSIPCO 1996), 1996
We describe in this paper how a method for parsimonious sinusoidal representation of signals based upon an orthogonalization technique can be suitably modified by embedding it into a genetic algorithm. We first describe the orthogonalization formalism, then we present the genetic algorithms in general and the specific form, based on a floating-point parameter representation, that we have employed in this ...
2000 10th European Signal Processing Conference, 2000
In this work we introduce an alternative implementation of matching pursuit (MP) using a genetic algorithm in the continuous space (GACS). MP is an attractive analysis approach in which the signal is sequentially decomposed into a linear expansion of atoms (functions) from a dictionary of waveforms so as to obtain a sparse representation. The main problem with MP is its ...
Microstrip and Printed Antennas: New Trends, Techniques and Applications, None
2007 International Conference on Computational Intelligence and Security Workshops (CISW 2007), 2007
In so many combinatorial optimization problems, job shop scheduling problems have earned a reputation for being difficult to solve. GA has demonstrated considerable success in providing efficient solutions to many non-polynomial- hard optimization problems. In the field of job shop scheduling, GA has been intensively researched, and there are nine kinds of methods were proposed to encoding chromosome to represent ...
EMBC 2011-Workshop- Biological Micro Electro Mechanical Systems (BioMEMS): Fundamentals and Applications-Mehmet R. Dokmeci
ISEC 2013 Special Gordon Donaldson Session: Remembering Gordon Donaldson - 5 of 7 - SQUID Instrumentation for Early Cancer Diagnostics
EMBC 2011-Workshop- Biological Micro Electro Mechanical Systems (BioMEMS): Fundamentals and Applications-Ali Khademhosseini
EMBC 2011-Workshop-Biological Micro Electro Mechanical Systems (BioMEMS): Fundamentals and Applications-Michelle Khine
Continuously Learning Neuromorphic Systems with High Biological Realism: IEEE Rebooting Computing 2017
EMBC 2011-Program-Systems in Synthetic Biology (Part I)-Pamela A. Silver
EMBC 2011-Keynote Lecture-Engineering Drug Dosing in Dynamic Biological Systems - David J. Balaban
EMBC 2011-Workshop- Biological Micro Electro Mechanical Systems (BioMEMS): Fundamentals and Applications-Utkan Demirci
Engineering the Future - Frances Arnold, Ph.D.
Life Sciences Grand Challenge Conference - Roger Kamm
IMS 2014: Super High Bit Rate Radio Access Technologies for Small Cells Using Higher Frequency Bands
Technologies for 5G course, Part 2 - IEEE Smart Tech Workshop
Introducing DAGSI Whegs
Robot Stingrays Powered by Rat Muscle Cells - IEEE Spectrum Report
Q&A with Dr. Al Emondi: IEEE Brain Podcast, Episode 13
Geothermal Energy in the Military
Hybrid Topologies for Reconfigurable Matrices Based on Nano-Grain Cells: IEEE Rebooting Computing 2017
EMBC 2012 Theme Speaker: Dr. James Bassingthwaighte
Technologies for 5G course, Part 3 - IEEE Smart Tech Workshop
This paper characterizes quality, budget, and demand as fuzzy variables in a fuzzy vendor selection expected value model and a fuzzy vendor selection chance-constrained programming model, to maximize the total quality level. The two models have distinct advantages over existing methods for selecting vendors in fuzzy environments. A genetic algorithm based on fuzzy simulations is designed to solve these two models. Numerical examples show the effectiveness of the algorithm.
We describe in this paper how a method for parsimonious sinusoidal representation of signals based upon an orthogonalization technique can be suitably modified by embedding it into a genetic algorithm. We first describe the orthogonalization formalism, then we present the genetic algorithms in general and the specific form, based on a floating-point parameter representation, that we have employed in this work. Experiments are presented and possible extensions are discussed.
In this work we introduce an alternative implementation of matching pursuit (MP) using a genetic algorithm in the continuous space (GACS). MP is an attractive analysis approach in which the signal is sequentially decomposed into a linear expansion of atoms (functions) from a dictionary of waveforms so as to obtain a sparse representation. The main problem with MP is its computation load, due to the necessarily large size of the dictionary. We propose instead to determine the optimal atom at each stage of the decomposition using a GACS, i.e. a genetic algorithm that requires no quantization of the solution parameters. Preliminary simulation results illustrate the potential benefits of this scheme.
In so many combinatorial optimization problems, job shop scheduling problems have earned a reputation for being difficult to solve. GA has demonstrated considerable success in providing efficient solutions to many non-polynomial- hard optimization problems. In the field of job shop scheduling, GA has been intensively researched, and there are nine kinds of methods were proposed to encoding chromosome to represent a solution. In this paper, we proposed a novel genetic chromosome encoding approach, in this encoding method, the operation of crossover and mutation was done in three-dimensional coded space. 5 selected benchmark problems were tried with the proposed three- dimensional encoding GA for validation and the results are encouraging.
The emergence of Web services has changed the Internet a lot, and greatly facilitated the development of service based software systems. How to select appropriate services and compose them according to given context to satisfy a user's requirement is a big challenge. This paper proposes a novel Genetic Algorithm (GA) method to synthesis web services in a context-aware environment. We first present a context space model to illustrate both contexts and services in a formal way, we utilize GA to compose context-aware services according to users' preference. We transform the problem of service composition to a multi-objective optimization problem. To resolve the conflict and dependencies among services in GA process, we propose a service similarity tree (SST) model to measure the similarity between services. Finally, we design a simulation experiment to evaluate our method. The experiment result shows that our method is a promising one to solve service composition problem in a context-aware environment.
Exposure of endothelial cells to shear stress stimulates NO production by phosphorylating eNOS at Ser/sup 1179/ in the phosphoinositide-3-kinase (PI3K)- and PKA-dependent mechanisms. The eNOS contains additional potential phosphorylation sites including Ser/sup 116/, Thr/sup 497/ and Ser/sup 635/. Here, we studied phosphorylation of these potential sites in response to shear stress, vascular endothelial growth factor (VEGF) and 8-Br-cAMP in bovine aortic endothelial cells (BAEC). All three stimuli induced phosphorylation of eNOS at Ser/sup 635/ that was consistently slower than that at Ser/sup 1179/. The Thr/sup 497/ was rapidly dephosphorylated by 8-Br-cAMP, but not by shear and VEGF. None of the stimuli phosphorylated the Ser/sup 116/. While shear- dependent phosphorylation of Ser/sup 635/ was not affected by PI3K inhibitors wortmannin and LY294002, it was blocked by either treating cells with a PKA inhibitor H89 or infecting with an adenoviral vector expressing PKA inhibitor (PKI). These results suggest that shear stimulates at least two independent signaling pathways regulating eNOS: one that activates a PI3K-dependent PKA pathway and the other that activates a PI3K-independent PKA pathway. In summary, these studies suggest an essential role of PKA in regulation of eNOS and endothelial cell biology in response to shear stress.
In this paper, we propose M-CVaR portfolio selection model under nonlinear transaction costs and minimum trading volumes. We use a quadratic function to approximate origin transaction costs function, set genetic algorithms, and analyse the M-CVaR model by real financial data. A series of numerical experiments shows that the model is reasonable and the algorithm is efficient. Further, we give that the portfolio varies with transaction costs and confidence.
A priori determination of the sex of a human individual before gestation is a desirable goal in some cases. To achieve this, it is necessary to perform the separation of sperm cells containing either X or Y chromosomes. As is well known, male sex depends on the presence of chromosome Y. Once this separation is achieved in principle, we require to determine, with a high degree of accuracy, whether the sperm cells of interest contain the desired X or Y chromosomes. If we are able to obtain certain simple measurements regarding the sperm cells under consideration we will be able to control the fertilization process reliably. In this paper we report a method which allows for non-invasive verification of the characteristics of the separated sperm. We determined a set of easily measurable characteristics. From a sample drawn from previously cropped sperm we trained a neural network with a genetic algorithm. The trained network was able to perform a posteriori classification with an error much smaller than 1%. This percentage of efficiency is better than the ones reported in centers of assisted fecundation.
In this study, we propose a Genetic Extended-fiber Network (GEN) separately stretched over microbridges for DNA fiber applications. The microbridges are rapidly and easily fabricated by directly spin-coating a thick negative photoresist on a metal mask patterned glass substrate and exposing it twice from the backside of the substrate for two different exposure angles. The GEN constructed over microbridge array by centrifugal stretching can achieve high throughput stretching-and-positioning of DNA fibers and individually accessible platform for DNA fibers, on which spatial relationships of DNA fibers can be quantitatively analyzed by accurate compartmentalization.
Develop safety levels for human exposure to electromagnetic fields from 0 to 3kHz. This standard will be based on the results of an evaluation of the relevant scientific literature and proven effects which are well established and for which thresholds of reaction are understood. Field limits will be derived from threshold current densities or internal electric fields.