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Saurabh Gupta

Bio: Saurabh Gupta is an academic researcher from Indian Institute of Technology Madras. The author has contributed to research in topics: Diesel fuel & Lamb waves. The author has an hindex of 4, co-authored 9 publications receiving 49 citations.

Papers
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Journal ArticleDOI
TL;DR: Low Temperature Combustion (LTC) strategies are most promising to simultaneously reduce oxides of nitrogen (NOx) and soot emissions from diesel engines along with offering higher thermal efficiency as discussed by the authors.
Abstract: Low Temperature Combustion (LTC) strategies are most promising to simultaneously reduce oxides of nitrogen (NOx) and soot emissions from diesel engines along with offering higher thermal efficiency...

26 citations

Journal ArticleDOI
TL;DR: It was difficult to detect the delamination situated at the mid plane of the laminate, where the shear stress was found to be zero for all ply layups, and the S0 mode showed higher sensitivity to DL23 and DL34.

26 citations

Journal ArticleDOI
TL;DR: In this article, a production light duty diesel engine is modified to run in RCCI mode through suitable modifications, and it is observed that 20% butanol and 80% gasoline blend (G80B20) results in lower HC, CO emissions and higher brake thermal efficiency.

19 citations

Book ChapterDOI
27 Aug 2013
TL;DR: A novel approach to conversational recommendation, UtilSim, where utilities corresponding to products get continually updated as a user iteratively interacts with the system, helping her discover her hidden preferences in the process.
Abstract: Conversational Recommender Systems belong to a class of knowledge based systems which simulate a customer’s interaction with a shopkeeper with the help of repeated user feedback till the user settles on a product. One of the modes for getting user feedback is Preference Based Feedback, which is especially suited for novice users(having little domain knowledge), who find it easy to express preferences across products as a whole, rather than specific product features. Such kind of novice users might not be aware of the specific characteristics of the items that they may be interested in, hence, the shopkeeper/system should show them a set of products during each interaction, which can constructively stimulate their preferences, leading them to a desirable product in subsequent interactions. We propose a novel approach to conversational recommendation, UtilSim, where utilities corresponding to products get continually updated as a user iteratively interacts with the system, helping her discover her hidden preferences in the process. We show that UtilSim, which combines domain-specific “dominance” knowledge with SimRank based similarity, significantly outperforms the existing conversational approaches using Preference Based Feedback in terms of recommendation efficiency.

4 citations


Cited by
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Journal ArticleDOI
TL;DR: In this paper, an attempt is made to assemble and summarize a listing of important research articles on low-temperature combustion using a wide variety of conventional and alternate renewable fuels, and the effect of low temperature combustion on engine performance and emission characteristics over a wide range of engine test conditions.

131 citations

Journal ArticleDOI
TL;DR: The feasibility of detection of delamination is experimentally demonstrated, whose size is comparable to the ultrasonic wavelength with probability of detection better than 90% using <1% of the total number of samples required for conventional imaging, even under conditions wherein the SNR is as low as 5 dB.

75 citations

Journal ArticleDOI
TL;DR: In this article , a baseline-free statistical approach for the identification and localization of delamination using sparse sampling and density-based spatial clustering of applications with noise (DBSCAN) technique is proposed.
Abstract: Delamination in composite structures is characterized by a resonant cavity wherein a fraction of an ultrasonic guided wave may be trapped. Based on this wave trapping phenomenon, we propose a baseline-free statistical approach for the identification and localization of delamination using sparse sampling and density-based spatial clustering of applications with noise (DBSCAN) technique. The proposed technique can be deployed for rapid inspection with minimal human intervention. The Performance of the proposed technique in terms of its ability to determine the precise location of such defects is quantified through the probability of detection measurements. The robustness of the proposed technique is tested through extensive simulations consisting of different random locations of defects on flat plate structures with different sizes and orientation as well as different values of signal to noise ratio of the simulated data. The simulation results are also validated using experimental data and the results are found to be in good agreement.

67 citations

Journal ArticleDOI
TL;DR: In this article , the authors investigated the RCCI mode of operation in a light-duty diesel engine by introducing Cottonseed oil biodiesel as high reactivity fuel directly into the combustion chamber and n-pentanol as low-reactivity fuel intake.

42 citations