Exact Solution of the Zakharov-Shabat Scattering Problem for Doubly-Truncated Multi-Soliton Potentials

Recent studies have revealed that multi-soliton solutions of the nonlinear Schr\"odinger equation, as carriers of information, offer a promising solution to the problem of nonlinear signal distortions in fiber optic channels. In any nonlinear Fourier transform based transmission methodology seeking to modulate the discrete spectrum of the multi-solitons, choice of an appropriate windowing function is an important design issue on account of the unbounded support of such signals. Here, we consider the rectangle function as the windowing function for the multi-solitonic signal and provide the exact solution of the associated Zakharov-Shabat scattering problem for the windowed/doubly-truncated multi-soliton potential. This method further allows us to avoid prohibitive numerical computations normally required in order to accurately quantify the effect of time-domain windowing on the nonlinear Fourier spectrum of the multi-solitonic signals. The method devised in this work also applies to general type of signals and may prove to be a useful tool in the theoretical analysis of such systems.Comment: The manuscript is revised for submission to PRE. Also, some typos have been correcte

Carbon Dioxide Appropriation Using Alkanolamine Blends: Vapor-Liquid Equilibrium Modelling Approach

Design of sour-gas treating processes with alkanolamine solvents requires knowledge of vapor liquid equilibrium(VLE)of the aqueous acid gas–alkanolamine systems.An approximate thermodynamic model is developed to correlate and predict the vapor-liquid equilibrium(VLE)of CO2 in aqueous N-Ethyl Ethanolamine (EAE) solution in the temperature range (303.1-323.1 K).The values of deprotonation constant(K4)and carbamate reversion constant(K5)are determined by using the model derived from the VLE data of the ternary system(CO2 + EAE+ H2O).The model predictions are in good agreement with the experimental data of CO2 solubility in aqueous EAE solution available in the open literature.Similarly modified Kent Eisenberg model is validated for the quaternary(CO2 + AMP+PZ+ H2O)system.To consider the phase non-ideality in the(CO2+AMP+PZ+H2O)system we assumed the equilibrium constants are a function of temperature,CO2 partial pressure and amine concentration.The adjustable equilibrium constants Ki’ are then estimated.Rigorous thermodynamic model i.e.NRTL model is developed and VLE data of(CO2 + MDEA+ H2O)is correlated to find out the interaction parameters.The model predictions are in good agreement with the experimental data of CO2 solubility in aqueous MDEA solution available in the open literature.Density and viscosity of two novel tertiary alkanolamines including1-(2-hydroxyethyl)piperidine(1-(2-HE)PP)and 2-diethylaminoethanol(DEAE)in their aqueous blends with Piperazine(PZ)have been measured over a temperature range of(303.1, 308.1, 313.1, 318.1, 323.1)K and total amine mass fraction in all the blends was kept constant at 30 %.The mass % ratios of(PZ)/ (1-(2-HE)PP or DEAE)considered for measurements were 3/27, 6/24, 9/21 and 12/18.Density and viscosity of the ternary mixtures were correlated as functions of temperature and amine composition using thermodynamic framework.Modeling and simulation is done in MATLAB platform

Observation of Mixed Alkali Like Behaviour by Fluorine Ion in Mixed Alkali Oxyfluro Vanadate Glasses: Analysis from Conductivity Measurements

In this communication we report the fluorine ion dynamics in mixed alkali oxyfluro vanadate glasses. We have measured the electrical conductivity using impedance spectroscopy technique Room temperature conductivity falls to 5 orders of magnitude from its single alkali values at 33 mol% of rubidium concentration. We have also estimated the distance between similar mobile ions using the density values. Assuming this distance as the hopping distance between the similar ions we have estimated the anionic (Fluorine ion in our case) conductivity. It is observed that the fluorine ion dynamics mimics the mixed alkali effect and scales as the onset frequency f0.Comment: submitted to DAE-SSDP 2018 Indi

SourcererCC: Scaling Code Clone Detection to Big Code

Despite a decade of active research, there is a marked lack in clone detectors that scale to very large repositories of source code, in particular for detecting near-miss clones where significant editing activities may take place in the cloned code. We present SourcererCC, a token-based clone detector that targets three clone types, and exploits an index to achieve scalability to large inter-project repositories using a standard workstation. SourcererCC uses an optimized inverted-index to quickly query the potential clones of a given code block. Filtering heuristics based on token ordering are used to significantly reduce the size of the index, the number of code-block comparisons needed to detect the clones, as well as the number of required token-comparisons needed to judge a potential clone. We evaluate the scalability, execution time, recall and precision of SourcererCC, and compare it to four publicly available and state-of-the-art tools. To measure recall, we use two recent benchmarks, (1) a large benchmark of real clones, BigCloneBench, and (2) a Mutation/Injection-based framework of thousands of fine-grained artificial clones. We find SourcererCC has both high recall and precision, and is able to scale to a large inter-project repository (250MLOC) using a standard workstation.Comment: Accepted for publication at ICSE'16 (preprint, unrevised

Reductive Biotransformation of Ethyl Acetoacetate: A Comparative Studies using Free and Immobilized Whole Yeast Cells

Bioreduction of ethyl acetoacetate with free and immobilized yeast whole cell was achieved by using water and sucrose combination. After detachment from immobilized beads under basic condition, the corresponding ethyl(S)-(+)-3-hydroxybutanoate was isolated with 98 to 100% yield. Immobilized beads of yeast whole cell were prepared at different temperature which affects the morphology and physiology of the beads for the diffusion of the enzyme, which shown the maximum conversion of the substrate to products as compared to the free yeast whole cell

Early recovery after surgery in elective obstetrics-gynaecology surgeries: prospective single-center pilot study

Background: Enhanced recovery after surgery (ERAS) programmes employed in elective colorectal, vascular, urologic and orthopaedic surgery has provided strong evidence for decreased hospital stay without increase in postoperative complications. The aim of the study was to explore role and benefits, if any, of ERAS/ERP (early recovery protocols) implemented in patients undergoing elective obstetrics-gynaecological surgeries.Methods: Prospective cohort of 48 consecutive patients undergoing elective obstetrics-gynaecological surgeries were included. ERP included early feeding, urinary catheter removal, mobilisation/physiotherapy, intravenous line removal and optimal oral analgesia. This was compared to control group of 50 patients undergoing similar operations prior to introduction of ERP, SPC group-standard perioperative care. Demographics and indications of surgeries were similar for both groups. The primary end-points were length of stay (LOS) and incidence of complications (Clavien-Dindo classification). Difference in means was tested using the t test assuming unequal variances. Statistical significance was defined as p<0.05.Results: Two groups, A (non-ERAS/SPC) and B (ERAS) were comparable with regards to demographics and indication of surgery. The mean time to solid diet, urinary catheter removal, mobilization, iv fluid removal and shift to oral analgesia was 2.57, 1.13 (p<0.00001), 1.99 ,1.03 (p<0.00268), 1.63, 1.2 (p<0.00001), 1.72, 1.14 (p<0.00001), 1.8, 1.37 (p<0.00001) days respectively. There were 31 and 21 complications in both groups, respectively (p<0.0097). Hospital stay was significantly shorter in the ERAS group, 2.87, 2.61 (p<0.0378).Conclusions: This pilot study shows that ERPs can be successfully implemented with significant shorter hospital stays without increase in postoperative complications in elective obstetrics-gynecology patients

Gas–liquid flow in stirred reactors: Trailing vortices and gas accumulation behind impeller blades

In a gas–liquid stirred reactor, gas tends to accumulate in low-pressure regions behind the impeller blades. Such gas accumulation significantly alters impeller performance characteristics. We have computationally investigated gas–liquid flow generated by a Rushton (disc) turbine. Rotating Rushton turbine generates trailing vortices behind the blades, which influence the gas accumulation in the impeller region. Characteristics of these trailing vortices were first investigated by considering a model problem of flow over a single impeller blade. Predicted results were compared with the published experimental data. Circulation velocity and turbulent kinetic energy of the trailing vortices were found to scale with blade tip velocity. Several numerical experiments were carried out to understand interaction of gas bubbles and trailing vortices. Gas–liquid flow in stirred vessel was then simulated by extending the computational snapshot approach of Ranade and Dometti (Chem. Engng Res. Des., 74, 476–484, 1996). The approach was able to capture the main features of gas–liquid flow in stirred vessels. The detailed analysis of predicted results with reference to experimental data and the results obtained for flow over a single impeller blade will be useful for extending the scope of computational fluid dynamics (CFD) based tools for engineering gas–liquid stirred reactors

Semi-Supervised Imitation Learning of Team Policies from Suboptimal Demonstrations

We present Bayesian Team Imitation Learner (BTIL), an imitation learning algorithm to model the behavior of teams performing sequential tasks in Markovian domains. In contrast to existing multi-agent imitation learning techniques, BTIL explicitly models and infers the time-varying mental states of team members, thereby enabling learning of decentralized team policies from demonstrations of suboptimal teamwork. Further, to allow for sample- and label-efficient policy learning from small datasets, BTIL employs a Bayesian perspective and is capable of learning from semi-supervised demonstrations. We demonstrate and benchmark the performance of BTIL on synthetic multi-agent tasks as well as a novel dataset of human-agent teamwork. Our experiments show that BTIL can successfully learn team policies from demonstrations despite the influence of team members' (time-varying and potentially misaligned) mental states on their behavior.Comment: Extended version of an identically-titled paper accepted at IJCAI 202

Selection of Gate Dielectrics for ZnO Based Thin-Film Transistors

The bulk of semiconductor technology has been based on silicon till today. But silicon has its own limitations. It is not transparent to visible light and hence it cannot be used in certain applications. ZnO is a material which is transparent to visible light. In this paper, we compare the electrical performance of ZnO Thin film Transistors using different gate insulators. Certain performance indices and material indices were considered as the selection criteria for electrical performance. A methodology known as Ashby\u27s approach was adopted to find out the best gate insulators and based on this methodology various charts were plotted to compare different properties of competing materials. This work concludes that Y2O3 is the best insulator followed by ZrO2 and HfO2

Design and Implementation of Parallel FIR Filter Using High Speed Vedic Multiplier

The demand for high speed processing has been increasing as a result of expanding computer and signal processing applications. Higher throughput arithmetic operations are important to achieve the desired performance in many signal processing and image processing applications. One of the key arithmetic operations in such applications is multiplication which determines the performance of the entire system. Thus the optimization of the multiplier speed and area is a challenge for many processors. This challenge has been successfully overcome by the use of ancient Vedic multiplier. This paper illustrates design and implementation of parallel Finite Impulse Response (FIR) filters using Vedic mathematics based Urdhva Tiryabhyam algorithm. The system is aiming to reduced propagation delay and area of the filter. The proposed system based on Vedic multiplier is compared with that on conventional multiplier on the basis of resources and time required for processing given data. The comparison shows the 36.29% and 15.70% reduction in propagation delay for two-parallel and three-parallel FIR filter using Vedic multiplier as compared to that of conventional multiplier. The architecture is coded in VHDL and synthesized and simulated by using Xilinx Design Suite 13.1 ISE