Can you tell? SSNet - a Biologically-inspired Neural Network Framework for Sentiment Classifiers
When people try to understand nuanced language they typically process multiple input sensor modalities to complete this cognitive task. It turns out the human brain has even a specialized neuron formation, called sagittal stratum, to help us understand
The Industrial Ontologies Foundry (IOF) perspectives
In recent years there has been a number of promising technical and institutional developments regarding use of ontologies in industry. At the same time, however, most industrial ontology development work remains within the realm of academic research and is
WITHDRAWN January 4, 2023 The artificial intelligence (AI) revolution is upon us, with the promise of advances such as driverless cars, smart buildings, automated health diagnostics and improved security monitoring. Many current efforts are aimed to
An Evaluation Design for Comparing Netflow Based Network Anomaly Detection Systems Using Synthetic Malicious Traffic
In this paper, we present an evaluation procedure for comparing multiple netflow based network anomaly detection (NF-NAD) systems based on accuracy of detection and mean time of detection. Conventionally, different variations of benign or normal traffic
Towards Deep Transfer Learning in Industrial Internet of Things
In this paper, we propose a general framework to adopt transfer learning in IIoT systems. Transfer learning is a machine learning technique that fully uses the knowledge from pre- trained models to reduce the computing requirements for the training process
AWS-3 LTE Impacts on Aeronautical Mobile Telemetry
This technical report details an effort to design, demonstrate, and validate a test methodology to measure the impacts of Long Term Evolution (LTE) User Equipment (UE) emissions in the advanced wireless services 3 (AWS-3) band on aeronautical mobile
Designing Trojan Detectors in Neural Networks Using Interactive Simulations
This paper addresses the problem of designing trojan detectors in neural networks (NNs) using interactive simulations. Trojans in NNs are defined as triggers in inputs that cause misclassification of such inputs into a class (or classes) unintended by the
TREC-COVID: Constructing a Pandemic Information Retrieval Test Collection
TREC-COVID is a community evaluation designed to build a test collection that captures the information needs of biomedical researchers using the scientific literature during a pandemic. One of the key characteristics of pandemic search is the accelerated
A New Approach to Data Sharing and Distributed Ledger Technology: A Clinical Trial Use Case
Distributed systems have always presented complex challenges, and technology trends are in many ways making the software designer's job more difficult. In particular, today's systems must successfully handle.
We study the problem of minimizing the (time) average security costs in large systems comprising many interdependent subsystems, where the state evolution is captured by a susceptible-infected-susceptible (SIS) model. The security costs reflect security
On Deep Reinforcement Learning Security for Industrial Internet of Things
Industrial Internet of Things (IIoT), also known as Industry 4.0, empowers manufacturing and production processes by leveraging automation and Internet of Things (IoT) technologies. In IIoT, the information communication technologies enabled by IoT could
Voices of First Responders - Applying Human Factors and Ergonomics Knowledge to Improve the Usability of Public Safety Communications Technology: Findings from User-Centered Interviews, Phase 1, Volume 5
With the newly created Nationwide Public Safety Broadband Network (NPSBN), the public safety community is in the process of supplementing the use of land mobile radios with a technology ecosystem that will include a variety of new and improved
Predicting Flashover Occurrence using Surrogate Temperature Data
Fire fighter fatalities and injuries in the U.S. remain too high and fire fighting too hazardous. Until now, fire fighters rely only on their experience to avoid life-threatening fire events, such as flashover. In this paper, we describe the development of
National Institute of Standards and Technology Environmental Scan 2020
The 2020 National Institute of Standards and Technology Environmental Scan provides an analysis of key external factors that could impact NIST and the fulfillment of its mission in coming years. The analyses were conducted through four separate lenses
Enhanced Security Requirements for Protecting Controlled Unclassified Information: A Supplement to NIST Special Publication 800-171
The protection of Controlled Unclassified Information (CUI) resident in nonfederal systems and organizations is of paramount importance to federal agencies and can directly impact the ability of the Federal Government to successfully conduct its essential
Blockchain Networks: Token Design and Management Overview
Blockchain technology has enabled a new software paradigm for managing digital ownership in partial- or zero-trust environments. It uses tokens to conduct transactions, exchange verifiable data, and achieve coordination across organizations and on the web
Protecting Controlled Unclassified Information in Nonfederal Systems and Organizations [including updates as of 01-28-2021]
The protection of Controlled Unclassified Information (CUI) resident in nonfederal systems and organizations is of paramount importance to federal agencies and can directly impact the ability of the federal government to successfully conduct its essential