2019

Bandwidth Partition and Allocation for EfficientSpectrum Utilization in Cognitive Communications

Song Huang, Di Yuan, and Anthony Ephremides

This article related to spectrum scarcity studies bandwidth partition and allocation to optimize spectrum utilitzation in cognitive communications under the interweave paradigm.

IEEE Journal of Communications & Networks

2019

Multi-Corpus Acoustic-to-Articulatory Speech Inversion

Nadee Seneviratne, Ganesh Sivaraman, Carol Espy-Wilson

This paper proposes a multi-corpus speech inversion system for automatic speech recognition, pronounciation training and speech therapy.

Interspeech 2019

Assessing Neuromotor Coordination in Depression Using Inverted Vocal Tract Variables

Carol Espy-Wilson, Adam Lammert, Nadee Seneviratne, Thomas Quatieri

A new articulary inversion process provides a potentially powerful way of detecting depression based on speech patterns.

Interspeech 2019

Multi-modal learning for speech emotion recognition: An analysis and comparison of ASR outputs with ground truth transcription

Saurabh Sahu, Vikramjit Mitra, Nadee Seneviratne, Carol Espy-Wilson

The paper leverages multi-modal learning and automated speech recognition (ASR) systems toward building a speech-only emotion recognition model.

Interspeech 2019

2019

LEAP: A Lightweight Encryption and Authentication Protocol for In-Vehicle Communications

Zhaojun Lu, Qian Wang, Xi Chen, Gang Qu, Yongqiang Lyu, Zhenglin Liu

Controller Area Network is standard for in-vehicle communications, but attackers can compromise to remotely control vehicles. The researchers have developed a low-cost, high-efficiency encryption and authentication protocol to improve security.

arXiv.org

Pass and Run: A Privacy Preserving Delay Tolerant Network Communication Protocol for CyberVehicles

Zhaojun Lu, Zhenglin Liu, Carson Dunbar, Mingze Gao, Gang Qu

This paper on intelligent transportation systems proposes pass and run protocol for vehicular delay tolerant networks to address vehicle location privacy in communicating with roadside units.

IEEE Design & Test

2019

Hardware-Software Co-Design Based Obfuscation of Hardware Accelerators

Abhishek Chakraborty and Ankur Srivastava

Paper on hardware-software co-design based obfuscation of hardware accelerators proposes hardware-software co-design based obfuscation approach to render unactivated accelerator chip functionally useless.

IEEE Annual Symposium on VLSI 2019

Energy-efficient Design of MTJ-based Neural Networks with Stochastic Computing

Ankit Mondal, Ankur Srivastava

The research proposes the use of magnetic tunnel junctions as stochastic number generators in an SC-based hardware implementation of neural networks. The proposed algorithm brings about a 40% reduction in energy consumption with less than 1% accuracy loss on the 2-layer MNIST network.

ACM Journal on Emerging Technologies in Computing Systems

2019

Timely Distributed Computation with Stragglers

Baturalp Buyukates, Sennur Ulukus

Investigates the age performance of uncoded and coded computation distribution algorithms and shows that a minimum data set-coded task distribution scheme asymptotically outperforms uncoded and repetition coded schemes.

arXiv.org

Secure Degrees of Freedom in Networks with User Misbehavior

Karim Banawan, Sennur Ulukus

Explores the secure degrees of freedom of three new channel models: broadcast channel with combating helper, interference channel with selfish users, and multiple-access wiretap channel with deviating users. The paper investigates various malicious interactions that arise in networks, including active adversaries, and proves that a deviating user can drive the secure degrees of freedom to zero. However, the remaining users can exploit the intentional jamming signals as cooperative jamming signals against the eavesdropper and achieve an optimum secure degrees of freedom.

Entropy