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828 results on '"DAS, Ankita"'

1. SONIC: Synergizing VisiON Foundation Models for Stress RecogNItion from ECG signals

Author

Phukan, Orchid Chetia, Das, Ankita, Buduru, Arun Balaji, and Sharma, Rajesh

Subjects
Electrical Engineering and Systems Science - Signal Processing
Abstract

Stress recognition through physiological signals such as Electrocardiogram (ECG) signals has garnered significant attention. Traditionally, research in this field predominantly focused on utilizing handcrafted features or raw signals as inputs for learning algorithms. However, there is now a burgeoning interest within the community in leveraging large-scale vision foundation models (VFMs) like ResNet50, VGG19, and others. These VFMs are increasingly preferred due to their ability to capture complex features, enhancing the accuracy and effectiveness of stress recognition systems. However, no particular focus has been given on combining these VFMs. The combination of VFMs offers promising benefits by harnessing their collective knowledge to extract richer representations for improved stress recognition. So, to mitigate this research gap, we focus on combining different VFMs for stress recognition from ECG and propose SONIC, a novel framework that combines VFMs through their logits and training a fully connected network on the combined logits. Through extensive experimentation, SONIC showed the top performance against individual VFMs performance on the WESAD benchmark. With SONIC, we report state-of-the-art (SOTA) performance in WESAD with 99.36% and 99.24% (stress vs non-stress) and 97.66% and 97.10% (amusement vs stress vs baseline) in accuracy and F1 respectively.

Published
2024

5. Performance Characterization of Containerized DNN Training and Inference on Edge Accelerators

Author

K., Prashanthi S., Hegde, Vinayaka, Patchava, Keerthana, Das, Ankita, and Simmhan, Yogesh

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing
Abstract

Edge devices have typically been used for DNN inferencing. The increase in the compute power of accelerated edges is leading to their use in DNN training also. As privacy becomes a concern on multi-tenant edge devices, Docker containers provide a lightweight virtualization mechanism to sandbox models. But their overheads for edge devices are not yet explored. In this work, we study the impact of containerized DNN inference and training workloads on an NVIDIA AGX Orin edge device and contrast it against bare metal execution on running time, CPU, GPU and memory utilization, and energy consumption. Our analysis shows that there are negligible containerization overheads for individually running DNN training and inference workloads., Comment: Updated results of short paper published in HiPC 2023

Published
2023

6. Development of a Composite Index for Assessing Metro Interchanges Based on User Perception

Author

Das, Ankita, Ram, Sewa, Machavarapu, Pavan Kumar, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, Lu, Xinzheng, Series Editor, Ravi Shankar, K. V. R., editor, Prasad, C. S. R. K., editor, Mallikarjuna, C., editor, and Suresha, S. N., editor

Published
2025
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14. Hesitancy, Awareness and Vaccination: A Computational Analysis on Complex Networks

Author

Mallick, Dibyajyoti, Ray, Aniruddha, Das, Ankita, and Ghosh, Sayantari

Subjects
Physics - Physics and Society
Abstract

Considering the global pandemic of coronavirus disease 2019 (COVID-19), around the world several vaccines are being developed. Till now, these vaccines are the most effective way to reduce the high burden on the global health infrastructure. However, the public acceptance towards vaccination is a crucial and pressing problem for health authorities. This study has been designed to determine the parameters affecting the decisions of common individuals towards COVID-19 vaccine. In our study, using the platforms of compartmental model and network simulation, we categorize people and observe their motivation towards vaccination in a mathematical social contagion process. In our model, we consider peer influence as an important factor in this dynamics, and study how individuals are influencing each other for vaccination. The efficiency of the vaccination process is estimated by the period of time required to vaccinate a substantial fraction of total population. We discovered the major barriers and drivers of this dynamics, and concluded that it is required to formulate specific strategies by the healthcare workers which could be more effective for the undecided and vaccine hesitant group of people., Comment: 12 pages, 6 figures

Published
2023

16. Pneumocystosis

Author

Hallur, Vinaykumar, Das, Ankita, Parija, Subhash Chandra, Series Editor, and Rudramurthy, Shivaprakash M., editor

Published
2024
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20. Contributors

Author

Abulreesh, Hussein Hasan, primary, Adserias-Garriga, Joe, additional, Ahmad, Iqbal, additional, Aich, Palok, additional, Ali, Asghar, additional, Ansari, Firoz Ahmad, additional, Appanna, Varun P., additional, Appanna, Vasu D., additional, Bano, Ambreen, additional, Baraúna, Rafael Azevedo, additional, Bay, Denice C., additional, Bhadury, Punyasloke, additional, Bhattacharyya, Maitree, additional, Brasiliense, Danielle Murici, additional, Brown, Damon C., additional, C. Zapico, Sara, additional, Chakraborty, Chiranjib, additional, Chatterjee, Shruti, additional, Chaudhary, Srishti, additional, Chaudhary, Nikita, additional, Cherry, Pauline, additional, Choudhary, Meena, additional, Correa, Sulamita Santos, additional, Daimai, Chamjailiu, additional, Daroch, Priya, additional, Das, Ankita, additional, Das, Biswajit, additional, Dash, Stiti Prangya, additional, da Silva, Beatriz Lobato, additional, De, Arka Jyoti, additional, de Francisco, Patricia, additional, Demeter, Marc, additional, Dey, Subhamoy, additional, dos Santos, Alef, additional, Dwivedi, Isha, additional, Furtak, Karolina, additional, Garg, Gauri, additional, Gałązka, Anna, additional, Ghosh, Anwesha, additional, Ghosh, Chandradipa, additional, Gillet, Sébastien, additional, Gouda, Sudhansu Kumar, additional, Govil, Tanvi, additional, Gupta, Varsha, additional, Gutiérrez, Juan-Carlos, additional, Haque, Ekramul, additional, Helene, Luisa Caroline Ferraz, additional, Hira, Princy, additional, Hungria, Mariangela, additional, Hurrell, Tracey, additional, Jadhav, Sushama, additional, Jadhav, Abhijeet, additional, Jana, Pradip, additional, Jana, Debarati, additional, Johannink, Paige, additional, Kahali, Tuhin, additional, Kaur, Jasmeet, additional, Kaur, Baljinder, additional, Kesh, Rishi, additional, Khan, Atif, additional, Khan, Asma Sattar, additional, Khan, Sarah Ahmad, additional, Klepa, Milena Serenato, additional, Kumar, Raghawendra, additional, Kumari, Khushbu, additional, Kumawat, Dharmendra Kumar, additional, Lal, Rup, additional, Lingwall, Bret N., additional, Lobato, Amália Raiana Fonseca, additional, Mallick, Swarupa, additional, Manage, P.M., additional, Mande, Sharmila S., additional, Manna, Mousumi, additional, Martín-González, Ana, additional, Matroule, Jean-Yves, additional, Merchant, Mitali, additional, Mishra, Avinash, additional, Mohanta, Vivekananda, additional, Mohanty, Tanuja, additional, Mohapatra, Reecha, additional, Mohapatra, Madhusmita, additional, Muduli, Monali, additional, Mukhopadhyay, Sohini, additional, Naidoo, Jerolen, additional, Naik, Arya Kumar Dibyananda, additional, Nandi, Shyam Sundar, additional, Negi, Vidya Devi, additional, Nema, Vijay, additional, Nkera-Gutabara, Claudine, additional, Nural Yaman, Belma, additional, Panda, Ananta Narayan, additional, Panda, Amiya Kumar, additional, Panigrahi, Satyanarayan, additional, Patil, Sunil A., additional, Patra, Anuttam, additional, Phalke, Sakshi, additional, Poon, Lauren, additional, Pradhan, Jasmin, additional, Pramanik, Arnab, additional, Raina, Vishakha, additional, Rao, Toleti Subba, additional, Rastogi, Gurdeep, additional, Raturi, Ayushi, additional, Raul, Priyanka, additional, Ray, Sanak, additional, Rosado, Alexandre Soares, additional, Sadeepa, H.D.D., additional, Sahu, Binod Bihari, additional, Samudra, Prasanna, additional, Sani, Rajesh K., additional, Sar, Pinaki, additional, Saranya, Elumalai, additional, Sawant, Sonali Ankush, additional, Schultz, Júnia, additional, Sehgal, Alka, additional, Shakarad, Mallikarjun, additional, Sharma, Pooja, additional, Sharma, Barkha, additional, Siddiqui, Shirjeel Ahmad, additional, Silva, Artur, additional, Singh, Ramandeep, additional, Singh, Surendra Pratap, additional, Sirisena, K.A., additional, Soeder, Daniel J., additional, Sood, Utkarsh, additional, Suman, Kirti, additional, Sunaina, Sunaina, additional, Çabuk, Ahmet, additional, Takami, Hideto, additional, Tewari, Lakshmi, additional, Toleti, Subba Rao, additional, Tong, Yen Wah, additional, Tu, Zhihao, additional, Turner, Raymond J., additional, Ustunisik, Gokce, additional, Vaughn, Magan, additional, Yadav, Sukrampal, additional, Yadav, Pragya, additional, and Yaroshuk, Timothy, additional

Published
2024
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26. Liquid state theory of the structure of model polymerized ionic liquids.

Author

Das, Ankita, Mei, Baicheng, Sokolov, Alexei P., Kumar, Rajeev, and Schweizer, Kenneth S.

Subjects
*POLYMER structure, *INTEGRAL equations, *STATISTICAL correlation, *STRUCTURAL analysis (Engineering), *IONIC liquids, *POLYMERIZED ionic liquids
Abstract

We employ polymer integral equation theory to study a simplified model of semiflexible polymerized ionic liquids (PolyILs) that interact via hard core repulsions and short range screened Coulomb interactions. The multi-scale structure in real and Fourier space of PolyILs (ions chosen to mimic Li, Na, K, Br, PF6, and TFSI) are determined as a function of melt density, Coulomb interaction strength, and ion size. Comparisons with a homopolymer melt, a neutral polymer–solvent-like athermal mixture, and an atomic ionic liquid are carried out to elucidate the distinct manner that ions mediate changes of polymer packing, the role of excluded volume effects, and the influence of chain connectivity, respectively. The effect of Coulomb strength depends in a rich manner on ion size and density, reflecting the interplay of steric packing, ion adsorption, and charge layering. Ion-mediated bridging of monomers is found, which intensifies for larger ions. Intermediate range charge layering correlations are characterized by a many-body screening length that grows with PolyIL density, cooling, and Coulomb strength, in disagreement with Debye–Hückel theory, but in accord with experiments. Qualitative differences in the collective structure, including an ion-size-dependent bifurcation of the polymer structure factor peak and pair correlation function, are predicted. The monomer cage order parameter increases significantly, but its collective ion counterpart decreases, as ions become smaller. Such behaviors allow one to categorize PolyILs into two broad classes of small and large ions. Dynamical implications of the predicted structural results are qualitatively discussed. [ABSTRACT FROM AUTHOR]

Published
2024
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32. Relativistic effects on the chemistry of heavier elements: why not given proper importance in chemistry education at the undergraduate and postgraduate level?

Author

Das Ankita, Das Udita, Das Ruhi, and Das Asim K.

Subjects
dirac equation, relativistic effect, heavy element chemistry, inert pair effect, higher oxidation states, lead-acid battery, gold, auride and platinide, aurophilicity, mercury, amalgamation, lanthanides, actinides, Chemistry, QD1-999
Abstract

Relativistic effects are important to understand the chemistry of heavier elements across the periodic table (PT). Three important relativistic effects are: contraction of s- and p-orbitals (direct relativistic effect), expansion of d- and f-orbitals (indirect relativistic effect) and spin–orbit (SO) coupling to split the p-, d- and f-orbitals. Each of these effects is approximately proportional to Z 2 (Z = atomic number) for the valence shell electrons in many electron atoms and consequently, these relativistic effects dominantly control the properties of the heavier elements (mainly the 6th and 7th period elements). These aspects are not given the proper importance in most of the inorganic chemistry text books and in chemistry education at the university level.

Published
2023
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35. Frailty as a Superior Predictor of Dysphagia and Surgically Placed Feeding Tube Requirement After Anterior Cervical Discectomy and Fusion Relative to Age

Author

Naftchi, Alexandria F., Vellek, John, Stack, Julia, Spirollari, Eris, Vazquez, Sima, Das, Ankita, Greisman, Jacob D., Stadlan, Zehavya, Tarawneh, Omar H., Zeller, Sabrina, Dominguez, Jose F., Kinon, Merritt D., Gandhi, Chirag D., Kazim, Syed Faraz, Schmidt, Meic H., and Bowers, Christian A.

Published
2023
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40. The Evolution of Enhanced Recovery After Surgery: Assessing the Clinical Benefits of Developments Within Enhanced Recovery After Surgery Protocols in Adult Cervical Deformity Surgery

Author

Passias, Peter G., Tretiakov, Peter S., Onafowokan, Oluwatobi O., Galetta, Matthew, Lorentz, Nathan, Mir, Jamshaid M., Das, Ankita, Dave, Pooja, Lafage, Renaud, Yee, Timothy, Diebo, Bassel, Vira, Shaleen, Jankowski, Pawel P., Hockley, Aaron, Daniels, Alan, Schoenfeld, Andrew J., Mummaneni, Praveen, Paulino, Carl B., and Lafage, Virginie

Published
2024
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41. Assessing the Economic Benefits of Enhanced Recovery After Surgery (ERAS) Protocols in Adult Cervical Deformity Patients: Is the Initial Additive Cost of Protocols Offset by Clinical Gains?

Author

Tretiakov, Peter S., Onafowokan, Oluwatobi O., Lorentz, Nathan, Galetta, Matthew, Mir, Jamshaid M., Das, Ankita, Dave, Pooja, Yee, Timothy, Buell, Thomas J., Jankowski, Pawel P., Eastlack, Robert, Hockley, Aaron, Schoenfeld, Andrew J., and Passias, Peter G.

Published
2024
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43. Gender Issues and New Governance: Managing Menstrual Health and Hygiene with Emerging Multimedia Options for a Progressive Economy

Author

Dutta, Suparna, Das, Ankita, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Zhang, Yu-Dong, editor, Senjyu, Tomonobu, editor, So-In, Chakchai, editor, and Joshi, Amit, editor

Published
2023
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45. Risk of spinal surgery among individuals who have been re-vascularized for coronary artery disease

Author

Passias, Peter G., Ahmad, Waleed, Kapadia, Bhaveen H., Krol, Oscar, Bell, Joshua, Kamalapathy, Pramod, Imbo, Bailey, Tretiakov, Peter, Williamson, Tyler, Onafowokan, Oluwatobi O., Das, Ankita, Joujon-Roche, Rachel, Moattari, Kevin, Passfall, Lara, Kummer, Nicholas, Vira, Shaleen, Lafage, Virginie, Diebo, Bassel, Schoenfeld, Andrew J., and Hassanzadeh, Hamid

Published
2024
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48. Structural relaxation in quantum supercooled liquids: A mode-coupling approach

Author

Das, Ankita, Rabani, Eran, Miyazaki, Kunimasa, and Harbola, Upendra

Subjects
Condensed Matter - Statistical Mechanics
Abstract

We study supercooled dynamics in quantum hard-sphere liquid using quantum mode-coupling formulation. In the moderate quantum regime, classical cage effects lead to slower dynamics compared to strongly quantum regime, where tunneling overcomes classical caging, leading to faster relaxation. As a result, the glass transition critical density can become significantly higher than for the classical liquids. Perturbative approach is used to solve time dependent quantum mode-coupling equations to study in detail the dynamics of the supercooled liquid in moderate quantum regime. Similar to the classical case, relaxation time shows power-law increase with increasing density in the supercooled regime. However, the power-law exponent is found to be dependent on the quantumness; it increases linearly as the quantumness is increased in the moderate quantum regime.

Published
2020
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