Conference Papers

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Author: search.filters.author.Kulkarni, A.Has files: No

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    Exergy analysis of a LPG fuelled, MPFI multi-cylinder engine with vaporized water methanol induction
    (Korean Society of Combustion, 2013) Patil, B.; Kulkarni, A.; Mohanan, P.
    The influence of vaporized water methanol induction on a MPFI multi-cylinder engine performance and thermal balance has been experimentally investigated. A four stroke, four cylinder MPFI gasoline engine was used with LPG as fuel and vaporized water methanol. For the generation of vaporized water methanol, heat from the exhaust gas has been used. Different percentages of water methanol by mass basis were used with variable engine speed ranging from 2000 to 4500 rpm. The results showed that as the percentage water methanol induction level to the engine increased, there is slight increase in percentage of useful work, while the losses decreased except unaccounted losses. Additionally, the engine brake thermal efficiency increases. The average increase in the brake thermal efficiency for a 20% water methanol with LPG is approximately 1.5% over the use of LPG without water methanol induction.
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    Experimental investigations of performance and emission characteristics of single cylinder CI engine fueled with different blends of jatropha biodiesel with Metal based additive.
    (Korean Society of Combustion, 2013) Kulkarni, A.; Patil, B.; Vijaykumara, M.; Kumar, G.N.
    The present investigation is focused on effect of CoCl2 as metal based additives on four stroke, single cylinder, air cooled direct injection diesel engine fuelled with various blends of jatropha biodiesel. Experiments were conducted to study performance and emission characteristics of CI engine operated at a constant speed of 1500 rpm at variable load from no load to full load in step of 25%. The Metal based additive (CoCl2) was added at a dosage of 50 μmol/L of biodiesel in a jatropha biodiesel-diesel blend. Experimental results revealed that, when compared with blends without additive, significant improvement in brake thermal efficiency was observed by 1.24% for B20 and 1.52% for B40. From emissions profile, HC was lowered such as 18.18% reduction was observed for B40 with additive at 50% load condition also, other blends showed reductions in the range of 10% to 16% at various load conditions.NOx found to be lowered in the range of 10-12% for blends with additive compared to plain blends. Hence, CoCl2 added at a dosage of 50 μmol/L is efficient in improving the performance and emission characteristics of jatropha biodiesel particularly for B20 and for B40. And they can be used as a suitable alternative to diesel fuel.
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    Modelling and analysis of lower metal on-chip interconnects using physical fabrication parameters
    (Institute of Electrical and Electronics Engineers Inc., 2019) Kulkarni, A.; Iteesh, V.A.; Sahith, S.R.
    This paper looks into the modelling and analysis of on-chip interconnects in the lower metal region of an Integrated Circuit (IC). A proposed π-interconnect model is quantitatively modelled and analysed and the delay time, td is used as a metric to measure performance change from ideal circuit simulations for varying interconnect lengths using a driver-load inverter pair. The π-model delay time performance is also compared with that of a layout of an driver-load inverter pair circuit and a 3-stage ring-oscillator circuit. The layout is generated using MOSIS SCMOS technology using ON Semiconductor C5 600nm device model with VDD = 5V. All modelling and analysis is done using open-source EDA tools and technology. © 2019 IEEE.
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    TestQuBE: A Testbench Enhancement Methodology for Universal Serial Interfaces in Complex SoCs
    (IEEE Computer Society, 2021) Kulkarni, A.; Singh, A.; Waje, S.A.; Kashide, S.S.; Choi, S.B.
    With the increasing computational requirements of complex Systems on Chips (SoCs), the number of Universal Serial Interface (USI) instances have been scaled up, for handling data from ever greater number of peripheral components. This has increased the testbench (TB) complexity during verification, requiring numerous test vectors across multiple iterations to validate the design logic, negatively affecting turn-around-time. In this paper, we propose the TestQuBE (Testbench Quality Benchmark Enhancement) methodology which targets four TB quality benchmarking metrics: total TB development time, resource utilization, functional coverage development efficiency. TestQuBE generates an enhanced testbench with automated components that target the aforementioned TB quality metrics. Simulation results for a real-time use-case scenario show 76.2% improvement in functional coverage for up to 75% faster TB development time, resulting in a 91.6% reduction in resource utilization and approximately 50x greater development efficiency, compared to deployed solutions. © 2021 IEEE.
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    The Second DISPLACE Challenge: DIarization of SPeaker and LAnguage in Conversational Environments
    (International Speech Communication Association, 2024) Kalluri, S.B.; Singh, P.; Roy Chowdhuri, P.; Kulkarni, A.; Baghel, S.; Hegde, P.; Sontakke, S.; Deepak, K.T.; Mahadeva Prasanna, S.R.; Vijayasenan, D.; Ganapathy, S.
    The DIarization of SPeaker and LAnguage in Conversational Environments (DISPLACE) 2024 challenge is the second in the series of DISPLACE challenges, which involves tasks of speaker diarization (SD) and language diarization (LD) on a challenging multilingual conversational speech dataset. In the DISPLACE 2024 challenge, we also introduced the task of automatic speech recognition (ASR) on this dataset. The dataset containing 158 hours of speech, consisting of both supervised and unsupervised mono-channel far-field recordings, was released for LD and SD tracks. Further, 12 hours of close-field mono-channel recordings were provided for the ASR track conducted on 5 Indian languages. The details of the dataset, baseline systems and the leader board results are highlighted in this paper. We have also compared our baseline models and the team's performances on evaluation data of DISPLACE-2023 to emphasize the advancements made in this second version of the challenge. © 2024 International Speech Communication Association. All rights reserved.