• Design of novel CMOS based inexact subtractors and dividers for approximate computing: an in-depth comparison with PTL based designs 

  Jha, Chandan; Mekie, Joycee (2019-08-28)

  Multimedia applications consume an immense amount of energy. These applications have division as one of the fundamental operations. Division is also one of the costliest operations in terms of energy consumption. Thus, ...
• Understanding implications of adaptive and progressive physiology-sensitive exercise on gait and physiological performance of patients with neurological disorder 

  Solanki, Dhaval; Kumar, Siddhant; B., Shubha; Lahiri, Uttama (2019-10-24)
• Source underlap�a novel technique to improve safe operating area and output-conductance in LDMOS transistors 

  Bhoir, Mandar S.; Kaushal, Kumari Neeraj; Panda, Soumya R.; Singh, Amit K.; Jatana, H. S.; Mohapatra, Nihar R. (Institute of Electrical and Electronics Engineers, 2019-11)

  In this article, we have proposed a simple, novel, and cost-effective technique to mitigate the ON-state performance issues in laterally diffused MOS (LDMOS) transistors. We propose a novel technique-LDMOS transistor with ...
• Hetro8T: power and area efficient approximate heterogeneous 8T SRAM for H.264 video decoder 

  Bharti, Pramod Kumar; Surana, Neelam; Mekie, Joycee (Institution of Engineering and Technology, 2019-11)

  Wide-spread availability of high-speed INTERNET and rapid increase of smart-phone users have significantly increased online video surfing. Video decoders like H.264/H.265/MPEG consume a significant amount of power in Static ...
• New methods to assess and improve LIGO detector duty cycle 

  Biswas, Ayon; McIver, Jess; Mahabal, Ashish (Cornell University Library, 2019-10)

  A network of three or more gravitational wave detectors simultaneously taking data is required to generate a well-localized sky map for gravitational wave sources, such as GW170817. Local seismic disturbances often cause ...
• Joint attention skill training using virtual reality based platform for children with neurodevelopmental disorder 

  Jyoti, Vishav; Lahiri, Uttama (2019-10-24)
• An analytical framework and approximation strategy for efficient implementation of distributed arithmetic based inner-product architectures 

  Ray, Dwaipayan; George, Nithin V.; Meher, Pramod K. (Institute of Electrical and Electronics Engineers, 2020)
• Quantification of grip strength with complexity analysis of surface electromyogram for hemiplegic post-stroke patients 

  Dash, Adyasha; Dutta, Anirban; Lahiri, Uttama (IOS Press, 2019-09)

  BACKGROUND:Reduction in grip-strength due to spasticity is a common cause of impairment after stroke. OBJECTIVE:To find an objective measure of post-stroke spasticity affecting grip-strength through quantification of ...
• Human-computer interaction based joint attention cues: implications on functional and physiological measures for children with autism spectrum disorder 

  Jyoti, Vishav; Lahiri, Uttama (Elsevier, 2019-10)

  One of the important facets of effective social communication is Joint Attention (JA). However, children with Autism Spectrum Disorder (ASD) are often characterized by JA-related deficits, adversely affecting their social ...
• A generalized maximum correntropy criterion based robust sparse adaptive room equalization 

  Kumar, Krishna; George, Nithin V. (Elsevier, 2020-01)

  An adaptive room equalization scheme is usually employed to compensate for the distortion of sound produced by the room impulse response, thereby offering an improved listening experience. In a conventional adaptive room ...
• Fast semantic feature extraction using superpixels for soft segmentation 

  Verma, Shashkant; Nagar, Rajendra; Raman, Shanmuganathan (2019-09-27)
• Speech quality enhancement using a two channel sparse adaptive filtering approach 

  Kajla, Priyanka; George, Nithin V. (Elsevier, 2020-01)

  A forward two channel blind source separation scheme can be used as a effective method for speech enhancement. In such a scheme, two mixed sound signals are used as inputs to estimate the original signals which created ...
• Exploring temporal differences in 3D convolutional neural networks 

  Kanojia, Gagan; Kumawat, Sudhakar; Raman, Shanmuganathan (Cornell University Library, 2019-09)

  Traditional 3D convolutions are computationally expensive, memory intensive, and due to large number of parameters, they often tend to overfit. On the other hand, 2D CNNs are less computationally expensive and less memory ...
• Deep neural network (DNN) surrogate models for the accelerated design of optical devices and systems 

  Hegde, Ravi (2019-08-11)
• Deep no-reference tone mapped image quality assessment 

  Ravuri, Chandra Sekhar; Sureddi, Rajesh; Dendi, Sathya Veera Reddy; Raman, Shanmuganathan; Channappayya, Sumohana S. (Springer, 2019-11-03)

  In ACM CCS�17, Choudhuri et al. designed two fair public-ledger-based multi-party protocols (in the malicious model with dishonest majority) for computing an arbitrary function f. One of their protocols is based on a trusted ...
• High accuracy patch-level classification of wireless capsule endoscopy images using a convolutional neural network 

  Sadasivan, V.S.; Seelamantula, C.S. (2019-04-08)
• Shallow RNN: accurate time-series classification on resource constrained devices 

  Dennis, Don; Acar, D.A.E.; Mandikal, Vikram; Sadasivan, V.S.; Saligrama, Venkatesh; Simhadri, H.V.; Jain, Prateek (2019-12-08)
• Analog performance and its variability in sub-10nm fin-width FinFETs: a detailed analysis 

  Bhoir, Mandar S.; Chiarella, Thomas; Ragnarsson, Lars Ake; Mitard, Jerome; Terzeiva, Valentina; Horiguchi, Naoto; Mohapatra, Nihar Ranjan (IEEE, 2019-08)

  This paper discusses in detail the effects of Sub-10nm fin-width (Wfin) on the analog performance and variability of FinFETs. It is observed through detailed measurements that the trans-conductance degrades and output ...
• Design and calibration of 14-bit 10 KS/s low power SAR ADC for Bio-medical applications 

  Mekkattillam, Yadukrishnan; Mohapatra, Satyajit; Mohapatra, Nihar Ranjan (2019-07-04)
• Robust non-instrusive appliance consumption identification using multi-scale pattern recogrition 

  Patel, Nikita Bharatbhai (Indian Institute of Technology Gandhinagar, 2018)

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