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  • Agarwal, Deepesh; Srivastava, Pravesh; Martin-del-Campo, Sergio; Natarajan, Balasubramaniam; Srinivasan, Babji (Cornell University Library, 2021-10)
    Active Learning (AL) is a powerful tool to address modern machine learning problems with significantly fewer labeled training instances. However, implementation of traditional AL methodologies in practical scenarios is ...
  • Devaraddi, Veerendra S.; Mekie, Joycee (Cornell University Library, 2021-08)
    Digital In-memory computing improves energy efficiency and throughput of a data-intensive process, which incur memory thrashing and, resulting multiple same memory accesses in a von Neumann architecture. Digital in-memory ...
  • Venkatesh, Praveen; Vadhvana, Sanket; Jain, Varun (Cornell University Library, 2021-06)
    In this paper, we model the planar motion of a quadcopter, and develop a linear model of the same. We perform stability analysis of the open loop system and develop a PD controller for its position control. We compare the ...
  • Gangopadhyay, Aalok; Singh, Prajwal; Raman, Shanmuganathan (Cornell University Library, 2021-01)
    Automatic extraction of raw data from 2D line plot images is a problem of great importance having many real-world applications. Several algorithms have been proposed for solving this problem. However, these algorithms ...
  • Patil, Rohan; Dave, Raviraj; Patel, Harsh; Shah, Viraj M.; Chakrabarti, Deep; Bhatia, Udit (Cornell University Library, 2020-09)
  • Tewari, Atal; Verma, Vinay; Srivastava, Pradeep; Jain, Vikrant; Khanna, Nitin (Cornell University Library, 2020-12)
    Impact craters are formed as a result of continuous impacts on the surface of planetary bodies. This paper proposes a novel way of simultaneously utilizing optical images, digital elevation maps (DEMs), and slope maps for ...
  • Agarwal, Tarun; Lee, Youseung; Luisier, Mathieu (Cornell University Library, 2021-04)
    The continuous scaling of semiconductor technology has pushed the footprint of logic devices below 50 nm. Currently, logic standard cells with one single fin are being investigated to increase the integration density, ...
  • Hanindriyo, Adie Tri; Yadav, Amit Kumar Singh; Ichibha, Tom; Maezono, Ryo; Nakano, Kousuke; Hongo, Kenta (Cornell University Library, 2020-10)
    The disiloxane molecule is a prime example of silicate compounds containing the Si-O-Si bridge, which is of great interest within the field of quantum chemistry, due to the difficulty in theoretically predicting its ...
  • Joshi, Sharad; Korus, Pawel; Khanna, Nitin; Memon, Nasir (Cornell University Library, 2020-04)
    We assess the variability of PRNU-based camera fingerprints with mismatched imaging pipelines (e.g., different camera ISP or digital darkroom software). We show that camera fingerprints exhibit non-negligible variations ...
  • Venkatesh, Praveen; Rana, Rwik; Palanthandalam-Madapusi; Harish J. (Cornell University Library, 2021-11)
    The challenges presented in an autonomous racing situation are distinct from those faced in regular autonomous driving and require faster end-to-end algorithms and consideration of a longer horizon in determining optimal ...
  • Gohil, Varun; Walia, Sumit; Mekie, Joycee; Awasthi, Manu (Cornell University Library, 2021-04)
    Today, almost all computer systems use IEEE-754 floating point to represent real numbers. Recently, posit was proposed as an alternative to IEEE-754 floating point as it has better accuracy and a larger dynamic range. The ...
  • Raipurkar, Prarabdh; Pal, Rohil; Raman, Shanmuganathan (Cornell University Library, 2021-10)
    The prime goal of digital imaging techniques is to reproduce the realistic appearance of a scene. Low Dynamic Range (LDR) cameras are incapable of representing the wide dynamic range of the real-world scene. The captured ...
  • Singh, Sarabjeet; Surana, Neelam; Jain, Pranjali; Mekie, Joycee; Awasthi, Manu (Cornell University Library, 2021-10)
    In this paper, we propose a 'full-stack' solution to designing high capacity and low latency on-chip cache hierarchies by starting at the circuit level of the hardware design stack. First, we propose a novel Gain Cell (GC) ...
  • Yadav, Shweta; Chauhan, Jainish; Sain, Joy Prakash; Thirunarayan, Krishnaprasad; Sheth, Amit; Schumm, Jeremiah (Cornell University Library, 2020-11)
    Existing studies on using social media for deriving mental health status of users focus on the depression detection task. However, for case management and referral to psychiatrists, healthcare workers require practical and ...
  • Tewari, Atal; Prateek, Chennuri; Khanna, Nitin (Cornell University Library, 2021-10)
    Rapid technological advancements have tremendously increased the data acquisition capabilities of remote sensing satellites. However, the data utilization efficiency in satellite missions is very low. This growing data ...
  • Purohit, Palak; Modi, Poojan; Vyas, Udit (Cornell University Library, 2021-09)
    The Segway is a popular self-balancing two-wheeled vehicle. In this paper, we present a control mechanism for the planar Segway problem. The open-loop analysis validates the fact that the system is unstable by default and ...
  • Venkatesh, Praveen; Shah, Viraj; Shah, Vrutik; Kamble, Yash; Mekie, Joycee (Cornell University Library, 2021-11)
    This paper proposes a novel framework for autonomous drone navigation through a cluttered environment. Control policies are learnt in a low-level environment during training and are applied to a complex environment during ...
  • Kanojia, Gagan; Raman, Shanmuganathan (Cornell University Library, 2020-10)
    Consider a set of n images of a scene with dynamic objects captured with a static or a handheld camera. Let the temporal order in which these images are captured be unknown. There can be n! possibilities for the temporal ...
  • Venkatesh, Praveen; Rana, Rwik; Jain, Varun (Cornell University Library, 2021-06)
    In self driving car applications, there is a requirement to predict the location of the lane given an input RGB front facing image. In this paper, we propose an architecture that allows us to increase the speed and robustness ...
  • Misra, Yuvraj; Agarwal, Tarun Kumar (Cornell University Library, 2022-06)
    Resistance-change random access memory (RRAM) devicesare nanoscale metal-insulator-metal structures that can store informationin their resistance states, namely the high resistance (HRS) and lowresistance (LRS) states. ...

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