ECG intervals such as QRS, QT and PR provide significant information and are widely used as clinical parameters for diagnosing cardiac diseases. This paper presents a novel QRS detection technique based on Curve Length Transform (CLT) and a refined delineation of P-wave and T-wave using Discrete Wavelet Transform (DWT). The proposed technique was verified using the PhysioNet database. The QRS detection achieved a sensitivity of 98.59% and a positive predictivity of 97.86%. The QRS duration, QT interval and PR interval had a mean error of -1.56+/-28.8ms, -5.39+/-42.4ms and 0.86+/-40.3ms respectively. The proposed algorithm is computationally efficient and is simpler to implement in hardware, hence, will lead to a faster execution time, smaller design area and consequently low power consumption.
In this paper, second order notch filter is designed to eliminate the frequency components at 1.2 MHz of the TV spectrum with Phase Alternate Line (PAL) signal. The proposed Notch filter design is selected among 11 possible second-order single-MOS transistor Notch filters which are designed and simulated using Cadence design tools in 65nm technology. Moreover, all single MOS transistor notch filters are LC resonance-based filters which are designed using minimum number of passive components. From simulation results, it is shown that all possible models of single-MOS transistors can only yield second order filters [1]. However, higher order filters can be obtained from cascading several second-order filters. Minimum number of components used in designing such filters allows its utilization in large integrated circuits. Most filters are designed using highly linear building blocks [2] which makes single transistor undesirable for active filters. Nevertheless, proper biasing for the transistor can solve the problem.
Recently, memristive devices have potential to play important role in probabilistic computing. In this paper, the non-linear mathematical model of memristor that exists in the literature is improved to behave in probabilistic manner by adding Poisson randomness to the applied voltage. This is done based on experimental results which show that memristor devices exhibit stochastic switching behavior. Building autonomous Robots is a dream of artificial intelligence researchers. Sensors limitations and environment complexity increase the difficulty to implement a software by which a robot can behave similar to human autonomously. In this manner, probabilistic approaches are proposed to help the robot having more accurate decisions depending on displaying information through probabilistic densities. Intelligent Robots are the future hope to handle the jobs that are difficult or dangerous to be performed by human.
A Nanotip is a sharp metal needle that terminates with an apex of a few nanometers radius. It is used in Electron Microscopes to characterize materials at nano-scale, and also used in Scanning Probe Microscopes to fabricate and manipulate nanostructures. Nanotip fabrication continues to advance nowadays, and the tips produced currently can terminate with an apex of a single atom, thus called Single Atom Tips (SAT) [1]. With this advance, tip characterization methods has to be improved as well. In this paper, we show the characterization of Ultra sharp tips as a cone model using Finite Element Simulation.
This work focuses on the evaluation of the CO2 post-combustion capture process using pilot plant and Aspen plus V8.5 simulation data. The results of the simulation demonstrated validity very good fit with the data received from the pilot plant and confirmed the effectiveness of MEA process in capturing CO2 from the flue gases of coal-fired station. Using a 30 wt. % MEA solution; thermal energy requirement of 3.80 GJ/tonne CO2 was found at a MEA rich loading of 0.498 mole CO2/mole MEA and MEA lean loading 0.26 mole CO2/mole MEA. In addition, similar mass flow rate of CO2 produced from the stripper column is 759 tonne/year and of CO2 captured in the absorber is 1.6 kmol/ hr were achieved in the simulation results and on line with the pilot plant data which are 742 tonne/ year and 1.8 kmol/hr respectively.
In this research, the aim is to develop a sensitive cyclodextrin induced spectrofluorimetric method for determination of P-aminohippuric acid using Guest ?Host superachemistry between PAH and betacyclodextrin. Upon the addition of beta-CD to a low concentrated solution of PAH, fluorescence enhancement was observed. The interaction between PAH and beta-CD and the formation of the guest host complex has been investigated using UV/Vis absorption, Fluorescence, 1H-NMR, and ESIMS. A calibration curve was constructed in the PAH concentration range of 0.05 ? 100 M.
With the aim of assessing the minimum level of complexity required in a model, the current work focuses on comparing between modified sulphate reduction models incorporated into the IWA Anaerobic Digestion Model No. 1. The models compared differ from each other in terms of the number of sulphate reducing microbial groups considered. Model simulations for comparisons were based on a literature case study under low sulphate loads. Simulations were performed using an Excel/MATLAB model framework. Results indicated that four of the five considered models gave similar predictions of steady state effluent quality. Hence, in case of the scenario under study, it could be concluded that the model with consideration of single SRB group (acetate utilizing group) is sufficient.
Emirates Steel is one of the major industries in the UAE and is considered different innovative projects that aim to mitigate carbon dioxide emissions through capture, sequestration and storage within steel plant. Significant quantities of slag and dust are produced as waste materials that generally contain considerable amounts of metal oxides and silicates. The goal of this study is to use the steelmaking residues known as Ladle Furnace (LF) slag, Baghouse (BH) and cyclone dust to sequester CO2. Residues were pre-treated before reaction with CO2 through direct gas-solid carbonation reaction in a fluidized bed reactor. Process variables were systematically varied and their effect on the carbonation process are evaluated. Carbonation results indicated that CO2 could be sequestered by both slag and dust residues. The maximum CO2 sequestration, based on the total calcium content in the residue, are 0.23, 0.72 and 0.17 kg CO2/kg of LF slag, BH and cyclone, respectively.
DNA Profiling and DNA Databases are a powerful tool that can be used to identify individuals that have committed crimes or terrorist attacks. The research will examine the feasibility of a collaboration between GCC countries in efforts to combat terrorism through a DNA Database Portal to share and exchange DNA Data.
The Iran nuclear problem has long been a concern to the GCC as it threatens regional security. The researcher is employing the Graham Allison's Rational Actor Model of national decision making to answer the research questions of "How does nuclear Iran affect GCC regional security threats?". To provide nuanced answers to this question, the researcher is using a qualitative approach based on literature analysis and interviews.
