Improved Speech Emotion Recognition using Transfer Learning and Spectrogram Augmentation
Automatic speech emotion recognition (SER) is a challenging task that plays a crucial role in natural human-computer interaction. One of the main challenges in SER is data scarcity, i.e., insufficient amounts of carefully labeled data to build and fully
From Neuron Coverage to Steering Angle: Testing Autonomous Vehicles Effectively
A Deep Neural Network (DNN) based system, such as the one used for autonomous vehicle operations, is a "black box" of complex interactions resulting in a classification or prediction. An important question for any such system is how to increase the
A major concern for interconnected power grid systems is low frequency oscillation, which limits the scalability and transmission capacity of power systems. Un-damped, or poorly-damped oscillations will lead to undesirable conditions or even a catastrophic
A Hybrid Wired/Wireless Deterministic Network for Smart Grid
With the rapid growth of time-critical applications in smart grid, robotics, autonomous vehicles, and industrial automation, demand for high reliability, low latency and strictly bounded jitter is sharply increasing. High-precision time synchronization
Collaborative Knowledge Management to Identify Data Analytics Opportunities in Additive Manufacturing
Additive Manufacturing (AM) is becoming data-intensive. The ability to identify Data Analytics (DA) opportunities for effective use of AM data becomes a critical factor in the success of AM. To successfully identify high-potential DA opportunities in AM
The field of cryptography continues to advance at a very rapid pace, leading to new insights that may impact the security properties of cryptographic algorithms. The Crypto Publication Review Board ("the Board") has been established to identify
Practical Resource Optimization of Quantum-Enabled Communication Channels
We introduce new practical modulation schemes inspired by the quantum measurement. We experimentally show that our quantum-enabled communication system optimizes the combined resource efficiency (CRE) beyond the classical, shot-noise-limited CRE.
NIST Handbook 150-872 presents the technical requirements and guidance for the accreditation of laboratories under the National Voluntary Laboratory Accreditation Program (NVLAP) Federal Warfare System(s) (FWS) program. It is intended for information and
Status Report on the Second Round of the NIST Lightweight Cryptography Standardization Process
The National Institute of Standards and Technology (NIST) is in the process of selecting one or more authenticated encryption and hashing schemes suitable for constrained environments through a public, competition-like process. In February 2019, 57
An organization often has mission and business-based needs to exchange (share) information with one or more other internal or external organizations via various information exchange channels. However, it is recognized that the information being exchanged
Challenges of Accuracy in Germline Clinical Sequencing Data
Physicians are increasingly using clinical sequencing tests to establish diagnoses of patients who might have genetic disorders, which means that accuracy of sequencing and interpretation are important elements in ensuring the benefits of genetic testing
Standard Errors and Significance Testing in Data Analysis for Testing Classifiers
The one-classifier and two-classifier significance testing for evaluation and comparison of classifiers are conducted to investigate the statistical significance of differences and provide quantitative information in terms of the significance level, i.e
Performance Evaluation of the NDN Data Plane Using Statistical Model Checking
Named Data Networking (NDN) is an emerging technology for a future Internet architecture that addresses weaknesses of the Internet Protocol (IP). Since Internet users and applications have demonstrated an ever-increasing need for high speed packet
Optimal Time of Use of Renewable Electricity Pricing: Three-Player Games Model
Currently, the electricity demand is exponentially increasing due to the population growth. Therefore, the demand side management (DSM) is becoming unavoidable especially with the increasing use of renewable energy sources. One of the most known tactics of
Deep Learning for Detecting Network Attacks: An End to End approach
Network attack is still a major security concern for organizations worldwide. Recently, researchers have started to apply neural networks to detect network attacks by leveraging network traÿc data. However, public network data sets have major drawbacks
Contextualized Filtering for Shared Cyber Threat Information
Cyber threat information sharing is an imperative process towards achieving collaborative security, but it poses several challenges. One crucial challenge is the plethora of shared threat information. Therefore, there is a need to advance filtering of such
MS_Piano: A Software Tool for Annotating Peaks in CID Tandem Mass Spectra of Peptides and N-Glycopeptides
Annotating product ion peaks in tandem mass spectra is essential for evaluating spectral quality and validating peptide identification. This task is more complex for glycopeptides and is crucial for the confident determination of glycosylation sites in
The 2021 Speaker Recognition Evaluation (SRE21) is the next in an ongoing series of speaker recognition evaluations conducted by the US National Institute of Standards and Technology (NIST) since 1996. The objectives of the evaluation series are (1) to