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Dive into the research topics where Himanshu Thapliyal is active.

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Featured researches published by Himanshu Thapliyal.


IEEE Consumer Electronics Magazine | 2016

A Survey of Affective Computing for Stress Detection: Evaluating technologies in stress detection for better health.

Shalom Greene; Himanshu Thapliyal; Allison Caban-Holt

As we become more aware of the connection between emotional states and physical health, affective computing continues to rise as a field of interest. Affective computing uses both hardware and software technology to detect the affective state of a person. It is an active research area that has seen much growth in technology geared toward affective state analysis. Its origin is credited to Dr. Rosalind Picard of the Massachusetts Institute of Technology (MIT) when she published her 1995 article on affective computing [1]. It has since become a modern branch of computer science for human-computer interfaces [2], [3]. This stem of computer science has two main veins: 1) detection and recognition of emotional information and 2) simulation of emotion in computational devices. The focus of the current survey is the detection and recognition of emotions as affective states.


trans. computational science | 2016

Mapping of Subtractor and Adder-Subtractor Circuits on Reversible Quantum Gates

Himanshu Thapliyal

Reversible arithmetic units such as adders, subtractors and comparators form the essential components of any hardware implementation of quantum algorithms such as Shors factoring algorithm. Further, the synthesis methods proposed in the existing literature for reversible circuits target combinational and sequential circuits in general and are not suitable for synthesis of reversible arithmetic units. In this paper, we present several design methodologies for reversible subtractor and reversible adder-subtractor circuits, and a framework for synthesizing reversible arithmetic circuits. Three different design methodologies are proposed for the design of reversible ripple borrow subtractor that vary in terms of optimization of metrics such as ancilla inputs, garbage outputs, quantum cost and delay. The first approach follows the traditional ripple carry approach while the other two use the properties that the subtraction operation can be defined as


ieee computer society annual symposium on vlsi | 2016

Energy-Efficient and Secure S-Box Circuit Using Symmetric Pass Gate Adiabatic Logic

S. Dinesh Kumar; Himanshu Thapliyal; Azhar Mohammad; Vijay P. Singh; Kalyan S. Perumalla


Proceedings of the 11th Annual Cyber and Information Security Research Conference on | 2016

QUALPUF: A Novel Quasi-Adiabatic Logic based Physical Unclonable Function

S. Dinesh Kumar; Himanshu Thapliyal

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IEEE Consumer Electronics Magazine | 2018

Smart Home Environment for Mild Cognitive Impairment Population: Solutions to Improve Care and Quality of Life

Himanshu Thapliyal; Rajdeep Kumar Nath; Saraju P. Mohanty


international conference on computational science | 2015

Evaluation of Wearable Head Set Devices in Older Adult Populations for Research

Mohan Sai Ijjada; Himanshu Thapliyal; Allison Caban-Holt; Hamid R. Arabnia

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international conference on computational science | 2015

Smart Home System for Patients with Mild Cognitive Impairment

Shane Robert Maynard; Himanshu Thapliyal; Allison Caban-Holt


ieee computer society annual symposium on vlsi | 2017

Design of Quantum Circuits for Galois Field Squaring and Exponentiation

Edgard Munoz-Coreas; Himanshu Thapliyal

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Proceedings of the 12th Annual Conference on Cyber and Information Security Research | 2017

UTB-SOI based adiabatic computing for low-power and secure IoT devices

Himanshu Thapliyal; T. S. S. Varun; S. Dinesh Kumar


IEEE Consumer Electronics Magazine | 2017

Stress Detection and Management: A Survey of Wearable Smart Health Devices

Himanshu Thapliyal; Vladislav Khalus; Carson Labrado

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Fazel Sharifi

Shahid Beheshti University

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Kalyan S. Perumalla

Oak Ridge National Laboratory

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