16 research outputs found
Implicit spoken language diarization
Spoken language diarization (LD) and related tasks are mostly explored using
the phonotactic approach. Phonotactic approaches mostly use explicit way of
language modeling, hence requiring intermediate phoneme modeling and
transcribed data. Alternatively, the ability of deep learning approaches to
model temporal dynamics may help for the implicit modeling of language
information through deep embedding vectors. Hence this work initially explores
the available speaker diarization frameworks that capture speaker information
implicitly to perform LD tasks. The performance of the LD system on synthetic
code-switch data using the end-to-end x-vector approach is 6.78% and 7.06%, and
for practical data is 22.50% and 60.38%, in terms of diarization error rate and
Jaccard error rate (JER), respectively. The performance degradation is due to
the data imbalance and resolved to some extent by using pre-trained wave2vec
embeddings that provide a relative improvement of 30.74% in terms of JER
Mahatma Gandhi and the Prisoner's Dilemma: Strategic Civil Disobedience and Great Britain's Great Loss of Empire in India
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‘Is this a time of beautiful chaos?’: reflecting on international feminist legal methods
This article considers how Margaret Jane Radin’s theory of the feminist double bind can bring conceptual clarity to the difficulties feminisms face in engaging with political and legal institutions of global governance. I draw on her theory to reinitiate a conversation on ideal and nonideal theory, in order to answer the call of key proponents in international legal feminism to reevaluate methodologies in critiquing mainstream institutions. By providing an account of how to navigate the double bind, this article brings conceptual clarity to the tension between resistance and compliance that has been argued to lie at the heart of the feminist project in international law. I demonstrate how this theoretical framework can foster greater pluralist perspectives in feminist engagement of ideal theories to temper the deradicalising and conservative risk of navigating feasibility constrained nonideal strategies
Mahatma Gandhi and the Prisoner’s Dilemma: Strategic Civil Disobedience and Great Britain’s Great Loss of Empire in India
This paper examines the relationship between statutory monopoly and collective action as a multi-person assurance game culminating in an end to British Empire in India. In a simple theoretical model, it is demonstrated whether or not a collective good enjoys (or is perceived to enjoy) pure jointness of production and why the evolutionary stable strategy of non-violence was supposed to work on the principle that the coordinated reaction of a ethnically differentiated religious crowd to a conflict between two parties (of colonizer and colonized) over confiscatory salt taxation would significantly affect its course. Following Mancur Olson (1965) and Dennis Chong (1991), a model of strategic civil disobedience is created which is used to demonstrate how collective action can be used to produce an all-or-nothing public good to achieve economic and political independence
Effect of multilayer selective radiative anti-reflective coating on crystalline silicon photovoltaics for operating temperature reduction
Low heat transfer coefficient of ethylene-vinyl acetate hinders heat evacuation, and this causes a rise in temperature of the laminated solar module under AM1.5 spectrum. A new selective radiative antireflective coating (SR-ARC) has been proposed for the temperature reduction of the solar module and also effort has been made to improve the absorption in the 300–1100 nm wavelength range. We have compared the single, dual, triple and quad-layer of different transparent ARC materials with a different combination. In each category, we have optimised the SiO2, Al2O3, Si3N4 and TiO2 thin films layer stack as ARC coating and then compared the stacks for their SR-ARC properties.
Energy characterization of forced ventilated Photovoltaic-DSF system in hot summer of composite climate
Performance of Photovoltaic-double skin façade (Photovoltaic-DSF) system in summer has been critical. Owing to high solar ingress, cooling requirement of a building significantly increases. Photovoltaic-DSF system provides a shield and controls the heat gain through fenestration in the interior spaces. In the present article, mathematical correlations are developed for energy characterization of forced-ventilated Photovoltaic-DSF system in India's hot summer zone i.e. Jaipur. The Photovoltaic-DSF system has been installed and monitored for Jaipur's summer months (May to July). L25 Orthogonal array of design parameters (air cavity thickness, air velocity, and PV panel's transparency) and their respective levels have been developed using Taguchi design to perform experiments. Based on experimental results, multiple linear regression has been used to forecast solar heat gain coefficient, PVs electrical power and daylighting illuminance indoors as function of design factors. The statistical significance of mathematical relationships is sorted by variance analysis, which is found to be in good accord with field measurements (R2 > 0.90). The proposed correlations are pragmatic in designing Photovoltaic-DSF systems for hot summer conditions. The Photovoltaic-DSF system with 30% transmittance and air velocity of 5 metres per second in 200 mm air cavity thickness achieved maximum energy performance in hot summers
Prudent public health intervention strategies to control the coronavirus disease 2019 transmission in India: A mathematical model-based approach
BACKGROUND & OBJECTIVES: Coronavirus disease 2019 (COVID-19) has raised urgent questions about containment and mitigation, particularly in countries where the virus has not yet established human-to-human transmission. The objectives of this study were to find out if it was possible to prevent, or delay, the local outbreaks of COVID-19 through restrictions on travel from abroad and if the virus has already established in-country transmission, to what extent would its impact be mitigated through quarantine of symptomatic patients?
METHODS: These questions were addressed in the context of India, using simple mathematical models of infectious disease transmission. While there remained important uncertainties in the natural history of COVID-19, using hypothetical epidemic curves, some key findings were illustrated that appeared insensitive to model assumptions, as well as highlighting critical data gaps.
RESULTS: It was assumed that symptomatic quarantine would identify and quarantine 50 per cent of symptomatic individuals within three days of developing symptoms. In an optimistic scenario of the basic reproduction number (R0) being 1.5, and asymptomatic infections lacking any infectiousness, such measures would reduce the cumulative incidence by 62 per cent. In the pessimistic scenario of R0=4, and asymptomatic infections being half as infectious as symptomatic, this projected impact falls to two per cent.
INTERPRETATION & CONCLUSIONS: Port-of-entry-based entry screening of travellers with suggestive clinical features and from COVID-19-affected countries, would achieve modest delays in the introduction of the virus into the community. Acting alone, however, such measures would be insufficient to delay the outbreak by weeks or longer. Once the virus establishes transmission within the community, quarantine of symptomatics may have a meaningful impact on disease burden. Model projections are subject to substantial uncertainty and can be further refined as more is understood about the natural history of infection of this novel virus. As a public health measure, health system and community preparedness would be critical to control any impending spread of COVID-19 in the country