Multi-Agent Simulation of Emergence of Schwa Deletion Pattern in Hindi

Recently, there has been a revival of interest in multi-agent simulation techniques for exploring the nature of language change. However, a lack of appropriate validation of simulation experiments against real language data often calls into question the general applicability of these methods in modeling realistic language change. We try to address this issue here by making an attempt to model the phenomenon of schwa deletion in Hindi through a multi-agent simulation framework. The pattern of Hindi schwa deletion and its diachronic nature are well studied, not only out of general linguistic inquiry, but also to facilitate Hindi grapheme-to-phoneme conversion, which is a preprocessing step to text-to-speech synthesis. We show that under certain conditions, the schwa deletion pattern observed in modern Hindi emerges in the system from an initial state of no deletion. The simulation framework described in this work can be extended to model other phonological changes as well.Language Change, Linguistic Agent, Language Game, Multi-Agent Simulation, Schwa Deletion

Interface Synthesis for Embedded Applications in a Codesign Environment

In embedded systems, programmable peripherals are often coupled with the main programmable processor to achieve desired functionality. Interfacing such peripherals with the processor qualifies as an important task of hardware software codesign. In this paper, three important aspects of such interfacing, namely the allocation of addresses to the devices, allocation of device drivers, and approaches to handle events and transitions have been discussed. The proposed approaches have been incorporated in a codesign system MICKEY. The paper includes a number of examples, taken from the results synthesized by MICKEY, to illustrate the ideas

Financial stress and crude oil implied volatility: New evidence from continuous wavelet transformation framework

This study explores the theoretical possibility of co-movement and causality between crude oil implied volatility (OVX) and financial stress in a wavelet framework. The paper contributes to the existing literature in at least three possible ways: (a) First, the study considers not only composite financial stress indicators but also uses the categorical stress components such as Credit, Equity Valuation, Funding, Safe Assets and Volatility. (b) Second, the study employs a wavelet-based approach in tracking the co-movement and causality between oil and financial stress in a continuous time-frequency space. Lastly, (c) while previous studies mainly use oil price changes to assess the relationship with financial stress, the present study evaluates the role of forward-looking (30-days ahead) oil price uncertainty (proxied by OVX). The findings indicate the existence of co-movement between oil volatility and financial stress, mainly around the phases of economic turbulence. The patterns and strength of such co-movements are time-variant. The direction of the relationship is mostly positive, and the lead-lag relationship reveals that OVX tends to drive the relationship. It is further observed that the causalities between the variables are mostly bi-directional. However, relatively stronger causalities are transmitted from OVX towards FSI. Furthermore, the association between OVX and stress indicators is assessed in two different states of the economy, i.e., state of distress and tranquillity. The findings suggest that the causal co-movement intensifies majorly during the state of distress. Overall, the outcome of this study could be useful to policymakers and investors to anticipate the impending changes in the relationship to mitigate its potential adverse impact.© 2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).fi=vertaisarvioitu|en=peerReviewed

Assessment of biomass energy potential for SRC willow woodchips in a pilot scale bubbling fluidized bed gasifier

The current study investigates the short rotation coppice (SRC) gasification in a bubbling fluidized bed gasifier (BFBG) with air as gasifying medium. The thermochemical processes during combustion were studied to get better control over the air gasification and to improve its effectiveness. The combustion process of SRC was studied by different thermo-analytical techniques. The thermogravimetric analysis (TGA), derivative thermogravimetry (DTG), and differential scanning calorimetry (DSC) were performed to examine the thermal degradation and heat flow rates. The product gas composition (CO, CO2, CH4 and H2) produced during gasification was analyzed systematically by using an online gas analyzer and an offline GC analyzer. The influence of different equivalence ratios on product gas composition and temperature profile was investigated during SRC gasification. TG/DTG results showed degradation occur in four stages; drying, devolatilization, char combustion and ash formation. Maximum mass loss ~70% was observed in devolatilization stage and two sharp peaks at 315–500 °C in TG/DSC curves indicate the exothermic reactions. The temperature of gasifier was increased in the range of 650–850 °C along with the height of the reactor with increasing equivalent ratio (ER) from 0.25 to 0.32. The experimental results showed that with an increment in ER from 0.25 to 0.32, the average gas composition of H2, CO, CH4 decreased in the range of 9–6%, 16–12%, 4–3% and CO2 concentration increased from 17 to 19% respectively. The gasifier performance parameters showed a maximum high heating value (HHV) of 4.70 MJ/m3, Low heating value (LHV) of 4.37 MJ/m3 and cold gas efficiency (CGE) of 49.63% at 0.25 ER. The ER displayed direct effect on carbon conversion efficiency (CCE) of 95.76% at 0.32 ER and tar yield reduced from 16.78 to 7.24 g/m3 with increasing ER from 0.25 to 0.32. All parametric results confirmed the reliability of the gasification process and showed a positive impact of ER on CCE and tar yield