Indian Institute of Technology Gandhinagar

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    A Gardener in the Wasteland JotibaPhule's Fight for Liberty: A Study of Caste in Contemporary Indian Graphic Narrative

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    The paper draws on contemporary graphic narrative, which focuses on caste in modern context; its aim is to understand the formation of caste and its politicization along with its contemporary interpretation. This present narrative is based on JotiraoPhule's Slavery (1873) which is a historiography of caste and its implementation. The paper makes distinction between two reformist traditions of those who carry conservative belief system and of those who do not agree with this sort of beliefs. The latter one accepted the challenge with creative imagination to crack the wall between superior and inferior, old and new, master and slave, in modern sense high caste and low caste, touchable and untouchable, in a way to produce new understanding of the history of exploitation, conflict and discrimination. It is an effect of popular culture through which the lower, oppressed and suppressed castes can raise his/her voice which has been unheard for centuries to create a new identity. This is an act of protest against the power, dominance for the socio-political, economic and cultural liberty as well. The language of the narrative and the illustration is an attempt to take this issue to national and international fronts. It is also important to look at the representation of the caste along with the culture of 'Other' with the help of various dimensions of the graphic narrative engaged in words and images

    Alternate intensity measure for maximum direction shaking and construction of the associated ground motion models

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    Seismic standards recommend RotD100 as the intensity measure to define the maximum direction shaking while accounting for directionality. Nevertheless, the inherent overestimation with this choice is well known. Alternatively, this paper proposes Rotated RotD100 spectrum, a single-component spectrum rotated to align with the orientation of the RotD100 spectral ordinate at the period of interest. This definition preserves the RotD100 spectral ordinate at any specific period while avoiding overestimation at other periods. Further, it is also consistent with the recent recommendation on alternate perspective critical orientation, aiming to maximise the structural response. Therefore, the proposed intensity measure for maximum direction shaking should be preferred in scenario-based seismic performance assessment. A novel framework is proposed for developing the ground motion model (GMM) with Rotated RotD100 as the intensity measure by modifying RotD100 GMM. The proposed framework is demonstrated with a subset of the NGA-West2 database. The modification factor is first numerically constructed, followed by its idealization for smoothness and practical convenience. This idealized representation also accounts for the contingency on seismological parameters: the rate of decay in modification function increases with magnitude or distance. Further, the proposed Rotated RotD100 GMM is compared with a pair of conventional GMMs (geometric-mean, RotD50 and RotD100), highlighting its unique ability to maximise response at the period of interest while still representing a realistic ground motion. Overall, the proposed framework and the Rotated RotD100 GMM are expected to be a valuable tool in several earthquake engineering applications, such as site-specific seismic hazard analysis and scenario-based performance assessment

    Evaluation of overburden correction factor (Kσ) of pond ash for liquefaction analysis under earthquake loading

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    The present experimental study evaluates the overburden correction factor (Kσ) of different pond ash samples under earthquake loading for liquefaction analysis. A series of 54 stress-controlled cyclic simple shear tests was conducted on pond ash specimens at different overburden pressures and cyclic stress ratios. Cyclic resistance ratio (CRR) was evaluated for each pond ash sample at different overburden pressures using two criteria based on maximum excess pore water pressure and double amplitude shear strain to evaluate the Kσ. The Kσ values obtained for the pond ash were compared with the Kσ values for natural soils (clean sand and sand-silt mixtures). The cyclic resistance ratio (CRR) and Kσ values were observed to decrease with an increase in overburden pressure from 50 kPa to 100 kPa, and a further increase in overburden pressure to 150 kPa led to an increase in CRR and Kσ values for pond ash specimens with fine particles dominated matrix. However, an opposite trend was observed for pond ash specimens with coarse particles-dominated matrix. The unique response of Kσ values for pond ash was found to be significantly different from the already available Kσ response for natural cohesionless soil (clean sand and sand-silt mixtures) as it unavoidably included the effect of OCR and void ratio along with the vertical overburden pressure

    K-means Clustering with ANN based Classification to Predict Current-Voltage Characteristics of Advanced FETs

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    In this work, we proposed a novel data-based methodology using artificial neural network (ANN) based classifier to predict current-voltage (I-V) characteristics of advanced FETs. The K-means clustering is employed to cluster and map the transistor drain current samples to centroids. This flexible and data dependent clustering enables accurate prediction over a wide parameter space for all regions of transistor operation. The classifier along with Savitzky-Golay filter predicts the I-V characteristics and the derivatives of I-V characteristics with an accuracy of 98%, outperforming the ANN regressor on a common test set. By utilizing the proposed model, an I-V characteristics can be predicted 8000 times faster as compared to an industry-standard TCAD tool. � 2024 Elsevier B.V., All rights reserved

    Selection and Scaling of the Positively Correlated Ground Motion Suite for Seismic Performance Assessment

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    Various ground motion selection frameworks reported in the prior art recommend the construction of target spectra taking into account the underlying correlation or covariance matrix. A number of target spectra in the order of thousands are generally required to capture the true correlation structure. In contrast, a suite of about 10-20 ground motions is generally considered in seismic performance assessment owing to the inherent computational cost and paucity of recorded ground motions in the available database. This, in turn, leads to the failure probability of an engineering demand parameter (EDP) sensitive to the selection of a number of ground motion records in the suite and the resulting failure probability could be potentially under- or over-estimated. One possible way out in such a case, without increasing the number of ground motion records/spectra in a suite, is to construct the target spectra using positive correlation and in other words, using the fractile spectra. This is aimed to achieve an upper limit of the failure probability given the uncertainty of not capturing the true correlation with a small number of records. A framework for the selection and scaling of the positively correlated ground motion suite is proposed. Novelty involved in the proposed framework is demonstrated through an example of a ground motion selection exercise followed by the seismic performance assessment of a structure. The resulting various EDP hazards are compared with a widely adopted framework in the prior art to illustrate the possible impact of selecting a positively correlated ground motion suite

    Probing the self-coherence of primordial quantum fluctuations with complexity

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    A smoking gun for our current paradigm of the early universe would be direct evidence for the quantum mechanical origin of density perturbations which are conjectured to seed the large scale structure of our universe. A recently-proposed novel phenomenon is that of recoherence, wherein a specific interaction between the adiabatic and the entropic sector leads to the adiabatic mode retaining a coherent state after a transient increase in linear entropy. In this paper, we choose the Gaussian action allowing for both field-field and field-momentum coupling, and analyze the evolution of linear entropy, complexity of purification (COP), and complexity of formation (COF) to capture the interplay between decoherence and recoherence in this model. In the presence of these two types of couplings that drive these two opposing characteristics, we highlight how COF is an efficient tool for diagnosing dynamics for such an open quantum system

    The Inefficiency of Language Models in Scholarly Retrieval: An Experimental Walk-through

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    Language models are increasingly becoming popular in AI-powered scientific IR systems. This paper evaluates popular scientific language models in handling (i) short-query texts and (ii) textual neighbors. Our experiments showcase the inability to retrieve relevant documents for a short-query text even under the most relaxed conditions. Additionally, we leverage textual neighbors, generated by small perturbations to the original text, to demonstrate that not all perturbations lead to close neighbors in the embedding space. Further, an exhaustive categorization yields several classes of orthographically and semantically related, partially related and completely unrelated neighbors. Retrieval performance turns out to be more influenced by the surface form rather than the semantics of the text. � 2025 Elsevier B.V., All rights reserved

    Phase field modelling of crack propagation in isotropic and orthotropic brittle solids under thermo-mechanical loading

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