Deterministic Intra-Vehicle Communications: Timing and Synchronization
As we power through to the future, in-vehicle communications' reliance on speed is becoming a challenging predicament. This is mainly due to the ever-increasing number of electronic control units (ECUs), which will continue to drain network capacity, hence
Smart Home Security and Privacy Mitigations: Consumer Perceptions, Practices, and Challenges
As smart home technology is becoming more pervasive, smart home devices are increasingly being used by non-technical users who may have little understanding of the technology or how to properly mitigate privacy and security risks. To better inform security
Recommendations for Collecting, Curating, and Re-Using Manufacturing Data
This report provides general recommendations for collecting, curating, and re-using manufacturing data from both additive and subtractive processes. The intended audience includes researchers, technical-assessment personnel, and end-users who would like to
Connecting, Deploying, and Using the Smart Manufacturing Systems Test Bed
This report describes how different smart manufacturing standards and technologies, such as MTConnect, were integrated in the National Institute of Standards and Technology (NIST) Smart Manufacturing Systems (SMS) Test Bed to support the collection
A Suite of Metrics for Calculating the Most Significant Security Relevant Software Flaw Types
The Common Weakness Enumeration (CWE) is a prominent list of software weakness types. This list is used by vulnerability databases to describe the underlying security flaws within analyzed vulnerabilities. This linkage opens the possibility of using the
Scientific AI in Materials Science: a Path to a Sustainable and Scalable Paradigm
Recent years have seen an ever-increasing trend in the use of machine learning (ML) and artificial intelligence (AI) methods by the materials science, condensed matter physics, and chemistry communities. This perspective article identifies key scientific
TREC-COVID: Rationale and Structure of an Information Retrieval Shared Task for COVID-19
TREC-COVID is an information retrieval (IR) shared task initiated to support clinicians and clinical research during the COVID-19 pandemic. IR for pandemics breaks many normal assumptions, which can be seen by examining nine important basic IR research
Online Testbed for Evaluating Vulnerability of Deep Learning Based Power Grid Load Forecasters
Modern electric grids that integrate smart grid technologies require different approaches to grid operations. There has been a shift towards increased reliance on distributed sensors to monitor bidirectional power flows and machine learning based load
Comparison of Chemometric Problems in Food Analysis Using Non-Linear Methods
Food analysis is a challenging analytical problem, often addressed using sophisticated laboratory methods that produce large data sets. Linear and non-linear multivariate methods can be used to process these types of datasets and to answer questions such
Detection of Dense, Overlapping, Geometric Objects
Using a unique data collection, we are able to study the detection of dense geometric objects in image data where object density, clarity, and size vary. The data is a large set of black and white images of scatterplots, taken from journals reporting
Internet Protocol Security (IPsec) is a widely used network layer security control for protecting communications. IPsec is a framework of open standards for ensuring private communications over Internet Protocol (IP) networks. IPsec configuration is
Evolving Advanced Persistent Threat Detection Using Provenance Graph and Metric Learning
Advanced persistent threats (APT) have increased in recent times as a result of the rise in interest by nationstates and sophisticated corporations to obtain high profile information. Typically, APT attacks are more challenging to detect since they
This bulletin summarizes the information found in the voluntary NIST Privacy Framework: A Tool for Improving Privacy through Enterprise Risk Management (Version 1.0). The Privacy Framework is a tool developed in collaboration with stakeholders intended to
The Manufacturing Science and Engineering Conference (MSEC) in 2020 is the 15th annual conference put on by the Manufacturing Engineering Division (MED) of ASME. MED and ASME MSEC focuses on manufacturing sciences, technology, and applications, including
Can you tell? SSNet - a Sagittal Stratum-inspired Neural Network Framework for Sentiment Analysis
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