87,599 research outputs found
A self-adapting high dynamic-range visual representation algorithm for AER imagers
No full textA novel algorithm for high intra-scene dynamic-range images representation is here proposed, which is based on Address Event Representation (AER) visual data. The values of the spiking pixels coming from the sensor are dynamically mapped into an 8-bit output, providing a real-time equalization of the scene. The algorithm has been tested using an AER emulator, based on a time-to-first spike imager. The simple implementation of the proposed technique makes it particularly suitable for AER sensors, turning into a real time processing and large programmability on the output tone mapping
Dr. Glendon Swarthout
No full textHosted by Roger M. Busfield, MSU Assistant Professor of Speech and Theater, Meet the Author is designed to introduce a general audience to a contemporary author and their work through in-depth interviews. This episode features a conversation between Dr. Glendon Swarthout, prolific author and English professor at MSU, and assistant professors Sam S. Baskett and Theodore B. Strandness
Simulation of thermal plant optimization and hydraulic aspects of thermal distribution loops for large campuses
Full text linkFollowing an introduction, the author describes Texas A&M University and its utilities system. After that, the author presents how to construct simulation models for chilled water and heating hot water distribution systems. The simulation model was used in a $2.3 million Ross Street chilled water pipe replacement project at Texas A&M University. A second project conducted at the University of Texas at San Antonio was used as an example to demonstrate how to identify and design an optimal distribution system by using a simulation model. The author found that the minor losses of these closed loop thermal distribution systems are significantly higher than potable water distribution systems. In the second part of the report, the author presents the latest development of software called the Plant Optimization Program, which can simulate cogeneration plant operation, estimate its operation cost and provide optimized operation suggestions. The author also developed detailed simulation models for a gas turbine and heat recovery steam generator and identified significant potential savings. Finally, the author also used a steam turbine as an example to present a multi-regression method on constructing simulation models by using basic statistics and optimization algorithms. This report presents a survey of the author??s working experience at the Energy Systems Laboratory (ESL) at Texas A&M University during the period of January 2002 through March 2004. The purpose of the above work was to allow the author to become familiar with the practice of engineering. The result is that the author knows how to complete a project from start to finish and understands how both technical and nontechnical aspects of a project need to be considered in order to ensure a quality deliverable and bring a project to successful completion. This report concludes that the objectives of the internship were successfully accomplished and that the requirements for the degree of Degree of Engineering have been satisfied
A low-power interface for the readout and motion-control of a MEMS capacitive sensor
No full textThis article describes the overall system design of a reduced size autonomous vehicle and focuses on the control strategy which is based on a Nonlinear Receding Horizon Control (NRHC) algorithm. The NRH planner is called by a high level manager, in the outer control loop, to solve a sequence of optimal control problems. The planned motion provide a sequence of reference set points for the faster inner control loop until a new plan is available. The lateral motion is controlled through the steering command by tracking the yaw rate reference. The longitudinal motion is controlled by means of the throttle/braking coupled command by tracking the planned forward speed profiles. The paper discusses the results of some simulation results. The project description proceeds as follows: Section II describes the system architecture from vehicle and communication to software. Section III and IV details the motion planning and control algorithms. In Section V the simulation results regarding the NRH based controller are discussed
C3H7NO2S effect on concrete steel-rebar corrosion in 0.5 M H2SO4 simulating industrial/microbial environment
No full textThis paper investigates C3H7NO2S (Cysteine) effect on the inhibition of reinforcing steel corrosion in concrete immersed in 0.5 M H2SO4, for simulating industrial/microbial environment. Different C3H7NO2S concentrations were admixed, in duplicates, in steel-reinforced concrete samples that were partially immersed in the acidic sulphate environment. Electrochemical monitoring techniques of open circuit potential, as per ASTM C876-91 R99, and corrosion rate, by linear polarization resistance, were then employed for studying anticorrosion effect in steel-reinforced concrete samples by the organic hydrocarbon admixture. Analyses of electrochemical test-data followed ASTM G16-95 R04 prescriptions including probability distribution modeling with significant testing by Kolmogorov-Smirnov and student's t-tests statistics. Results established that all datasets of corrosion potential distributed like the Normal, the Gumbel and the Weibull distributions but that only the Weibull model described all the corrosion rate datasets in the study, as per the Kolmogorov-Smirnov test-statistics. Results of the student's t-test showed that differences of corrosion test-data between duplicated samples with the same C3H7NO2S concentrations were not statistically significant. These results indicated that 0.06878 M C3H7NO2S exhibited optimal inhibition efficiency η = 90.52±1.29% on reinforcing steel corrosion in the concrete samples immersed in 0.5 M H2SO4, simulating industrial/microbial service-environment
A Multifunction Low-Power Preamplifier for MEMS Capacitive Microphones
No full textA multi-function two-stage chopper-stabilized preamplifier (PAMP) for MEMS capacitive microphones (MCM) is presented. The PAMP integrates digitally controllable gain, high-pass filtering and offset control, adding flexibility to the front-end readout of MCMs. The first stage of the PAMP consists of a source-follower (SF) while the second-stage is a capacitive gain stage. The second-stage employs chopper-stabilization (CHS), while SF buffer shields the MCM sensor from the switching spurs. The PAMP uses M poly bias resistors for the second-stage, exploiting Miller effect to achieve flat audio-band response. The gain and high-pass filtering corner can be adjusted by digitally controlling the capacitor banks in the PAMP. The offset-control feature of the PAMP is implemented using a narrow-band low-pass gm-C filter. The PAMP occupies 950µm x 950µm 0.35µm CMOS technology and draws a 50µA total current from a 1.8V single supply. The PAMP achieves SNDR of 44dBA/Pa (elec. meas.) and 27dBA/Pa (acoustic meas.) and a conversion range from 50dBSPL to 120dBSP
Author Correction: A global analysis of terrestrial plant litter dynamics in non-perennial waterways
No full text© 2018 The Author(s) In the version of this Article originally published, the affiliation for M. I. Arce was incorrect; it should have been:5Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Berlin, Germany. This has now been corrected in the online versions of the Article
Studies on Thermal Reactions and Sintering Behaviour of Red Clays by Irreversible Dilatometry
No full textThermal behavior of clays strongly influences that of ceramic bodies made thereof and hence, its study is must for assessing its utility in ceramic products as well as to set the body composition. Irreversible dilatometry is an effective thermal analysis tool for evaluating thermal reactions as well as sintering behavior of clays or clay based ceramic bodies. In this study, irreversible dilatometry of four red clay samples (S, M, R and G) of Gujarat region, which vary in their chemical and mineralogical compositions was carried out using a Dilatometer and compared. Chemical analysis and XRD of red clays were carried out. XRD showed that major clay minerals in S, M and R clays are kaolinite. However, clay marked R and G showed presence of both kaolinite and illite and / muscovite. Presence of non-clay minerals such as hematite, quartz, anatase were also observed in all clays. XRD results were in agreement with chemical analyses results. Rational analyses showed variation in amount of clay and non-clay minerals in red clay samples. Evaluation of dilatometric curves showed that clay marked as S, M and R exhibit patterns typical for kaolinitic clays. Variation in linear expansion (up to 550 degrees C) and shrinkage (above 550 degrees C) between these three clays was found to be related to difference in amount of quartz and kaolinite respectively. However, dilatometric curve of G exhibit a pattern similar to that for an illitic clay. This study confirmed that sintering of investigated kaolinitic and illitic and / muscovitic red clays initiates at above 1060 degrees C and 860 degrees C respectively and this behaviour strongly depends upon type and amount of minerals and their chemical compositions
Measurement of the CP-violating phase \phi s in Bs->J/\psi\pi+\pi- decays
Full text linkMeasurement of the mixing-induced CP-violating phase phi_s in Bs decays is of prime importance in probing new physics. Here 7421 +/- 105 signal events from the dominantly CP-odd final state J/\psi pi+ pi- are selected in 1/fb of pp collision data collected at sqrt{s} = 7 TeV with the LHCb detector. A time-dependent fit to the data yields a value of phi_s=-0.019^{+0.173+0.004}_{-0.174-0.003} rad, consistent with the Standard Model expectation. No evidence of direct CP violation is found
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