• Local neighborhood difference pattern: a new feature descriptor for natural and texture image retrieval 

  Verma, Manisha; Raman, Balasubramanian (Springer Verlag, 2018-05)

  A new image retrieval technique using local neighborhood difference pattern (LNDP) has been proposed for local features. The conventional local binary pattern (LBP) transforms every pixel of image into a binary pattern ...
• A step towards design and validation of portable, cost-effective device for gait characterization 

  Solanki, Dhaval Shashikantbhai; Das, Abhijit; Lahiri, Uttama (2018-06-06)
• Design of a VR-based upper limb gross motor and fine motor task platform for post-stroke survivors 

  Kumar, Saurav; Dash, Adyasha; Solanki, Dhaval Shashikantbhai; Lahiri, Uttama (2018-06-06)
• Active distribution network analysis: a case study 

  Rout, Biswajeet; Pindoriya, Naran M. (2018-05-22)
• Design of Virtual Reality based Intelligent Story-telling Platform with Human Computer Interaction 

  Babu, Pradeep Raj Krishnappa; Sinha, Sujata; S., Arvind Roshaan; Solanki, Dhaval Shashikantbhai; Lahiri, Uttama (2018-06-06)
• Dynamics, design, and application of a silicon-on-insulator technology based neuron 

  Dutta, S; Chavan, T.; Shukla, S.; Kumar, V.; Shukla, A.; Mohapatra, Nihar; Ganguly, U. (Cambridge University Press, 2018-06)

  Spiking Neural Networks propose to mimic nature’s way of recognizing patterns and making decisions in a fuzzy manner. To develop such networks in hardware, a highly manufacturable technology is required. We have proposed ...
• Consistent pan-sharpening based on multistage joint and dual bilateral filters 

  Joshi, Sharad; Upla, Kishor P.; Khanna, Nitin (Society of Photo-optical Instrumentation Engineers, 2018-06)

  A pan-sharpening method using joint and dual bilateral filters (DBFs) has been proposed. This approach is based on a consistent combination of large- and small-scale features obtained from the decomposition of high spectral ...
• DCT-domain deep convolutional neural networks for multiple JPEG compression classification 

  Verma, Vinay; Agarwal, Nikita; Khanna, Nitin (Elsevier, 2018-09)

  With the rapid advancements in digital imaging systems and networking, low-cost hand-held image capture devices equipped with network connectivity are becoming ubiquitous. This ease of digital image capture and sharing is ...
• Day-ahead energy management of a microgrid with battery energy storage integration 

  Prudhviraj, Dhanapala; Kiran, P. B. S.; Pindoriya, Naran M. (2018-05-22)
• Electricity price forecast for optimal energy management for wind power producers: a case study in Indian power market 

  Abhinav, Rishabh; Pindoriya, Naran M. (2018-05-22)
• SymmSLIC: symmetry aware superpixel segmentation and its applications 

  Nagar, Rajendra; Raman, Shanmuganathan (Cornell University Library, 2018-05)

  Over-segmentation of an image into superpixels has become a useful tool for solving various problems in image processing and computer vision. Reflection symmetry is quite prevalent in both natural and man-made objects and ...
• Source classification using document images from smartphones and flatbed scanners 

  Joshi, Sharad; Gupta, Gaurav; Khanna, Nitin (2017-11-16)
• Dataset augmentation with synthetic images improves semantic segmentation 

  Goyal, Manik; Rajpura, Param; Bojinov, Hristo; Hegde, Ravi (2017-12-16)
• Multiple stages of regression to improve accuracy in calibrated lithography process models 

  Kumar, Pardeep; Rosenbluth, Alan E.; Pusuluri, Ramana Murthy; Viswanathan, Ramya; Srinivasan, Babji; Mohapatra, Nihar R. (Society of Photo-optical Instrumentation Engineers, 2018-04)

  A two-stage approach is introduced to improve the accuracy of compact patterning models used in large-scale computational lithography. Each of the two stages uses a separate empirically calibrated regression model whose ...
• Highly sensitive refractive index sensors with plasmonic nanoantennas - utilization of optimal spectral detuning 

  Mesch, Martin; Weiss, Thomas; Sch�ferling, Martin; Hentschel, Mario,Hegde, Ravi S. and Giessen, Harald (American Chemical Society, 2018-04)

  We analyze and optimize the performance of coupled plasmonic nanoantennas for refractive index sensing. The investigated structure supports a sub- and a superradiant mode that originates in the weak coupling of a dipolar ...
• Deep-learnt classification of light curves 

  Mahabal, Ashish; Sheth, Kshiteej; Gieseke, Fabian; Pai, Akshay; George Djorgovski, S.; Drake, Andrew; Graham, Matthew (2017-11-27)

  A small variation in the elemental composition of a chemical compound can cause the formation of additional electronic defect states in the material, thereby altering the overall microstructure and thus induced properties. ...
• Transfer learning by finetuning pretrained CNNs entirely with synthetic images 

  Rajpura, Param; Aggarwal, Alakh; Goyal, Manik; Gupta, Sanchit; Talukdar, Jonti; Bojinov, Hristo; Hegde, Ravi (2017-12-16)
• Impact of variations on synchronizer performance: an experimental study 

  Mekie, Joycee; Mukim, Prashansa; Kale, Kimaya (2018-01-06)
• RH-Blade: a radiation hardened asynchronous bundled-data design 

  Aketi, Sai Aparna; Gupta, Smriti; Cheng, Huimei; Mekie, Joycee; Beerel, Peter (2018-05-13)
• A force myography-based system for gait event detection in overground and ramp walking 

  Godiyal, Anoop Kant; Verma, Hemant Kumar; Khanna, Nitin; Joshi, Deepak (Institute of Electrical and Electronics Engineers, 2018-04)

  In this paper, we present a novel method to determine the heel strike (HS) and toe-off (TO) during overground (OG) and ramp walking, including the transition. The method utilizes force myography (FMG) signals from thighs ...

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