ACT-IAC Use Case Solutions Library
Got a Pain Point? Leverage Technology to Clear Mission Hurdles!
Now you can find others who have tackled similar challenges to learn how they might have approached the problem and, hopefully, solved it.
Submit a New Use Case or Solution for addition to the NUCSL
Displaying 217 - 240 of 307 cases
Secure and Resilient Machine Learning System for Detecting Fifth Generation (5G) Attacks including Zero-Day Attacks
This project will implement an advanced machine learning based 5G attack detection system that can achieve high classification speed (10k packets per second) with high accuracy (90% or greater) as well as address a vulnerability to zero-day attacks (90% accuracy against real zero-day attacks recorded by Amazon Web Services) using field programmable gate array based deep autoencoders.
Secure Millimeter Wave Spectrum Sharing with Autonomous Beam Scheduling
This approach exploits the millimeter wave beam directionality and utilizes the beam sensing capabilities at end devices to prove that an autonomous radio frequency beam scheduler can support secure 5G spectrum sharing and guarantee optimality for base stations. Measurements and predictive analytics are used to develop the autonomous beam scheduling algorithms. These improvements will benefit…
Semantic analysis of scientific documents (word2vecOPA)
The NIH Office of Portfolio Analysis has developed a neural network approach to analysis of scientific content using dimensionality reduction (word2vecOPA). This method computationally converts words in scientific texts to numbers and summarizes documents by their semantic content by learning relationships between words from their context. This method is adaptable to specific corpora,…
Sentiment Analysis
The USCIS Service Center Operations Directorate (SCOPS) provides services for persons seeking immigration benefits while ensuring the integrity and security of our immigration system. As part of that mission, we issued a two-part survey asking users both quantitative and qualitative questions. USCIS performed a statistical analysis of the quantitative results and then used Natural Language…
Sentiment Analysis and Topic Modeling (SenTop)
The initial purpose of the Sentiment Analysis and Topic Modeling (SenTop) project was to analyze survey responses for DHS’s Office of the Chief Procurement Officer related to contracting. However, it has evolved to be a general-purpose text analytics solution that can be applied to any domain/area. It also has been tested/used for human resources topics. SenTop is a DHS-developed Python…
Sequential Coverage Algorithm (SCA) in Record Linkage
CDC’s National Center for Health Statistics (NCHS) Data Linkage Program has implemented a supervised machine learning algorithm, known as the Sequential Coverage Algorithm (SCA) in their linkage programs. The SCA was used to develop joining methods (or blocking groups) when working with very large datasets. The SCA method improved the efficiency of
blocking.
Signal Decomposition for Intrusion Detection in Reliability Assessment in Cyber Resilience
The objective of this project is to research, assess, and implement machine learning and artificial intelligence and physics-based algorithms for signal decomposition and provide a straightforward framework wherein an anomaly detection algorithm can be trained on existing expected data and then used for false data injection detection. An advanced library for signal decomposition and analysis…
Silicon Valley Innovation Program (SVIP) Language Translator
USCG operators must be able to communicate with vessel occupants - many who may be non-English speakers - while performing a variety of rescue and investigative missions. The accurate and swift translation of information is critical to the safety and security of Coast Guard boarding teams and vessel occupants. The DHS’s Science and Technology Silicon Valley Innovation Program (SVIP) Language…
SingleCite: Improving single citation search in PubMed
A search that is targeted at finding a specific document in databases is called a Single Citation search, which is particularly important for scholarly databases, such as PubMed, because it is a typical information need of the users. We have developed SingleCite, an automated algorithm that establishes a query-document mapping by building a regression function to predict the probability of a…
Smart Contingency Analysis Neural Network for in-depth Power Grid Vulnerability Analyses
Typical contingency analysis for a power utility is limited to n-1 due to computational complexity and cost. A machine learning framework and resilience-chaos plots are leveraged to reduce computational expense required to discover, with 90% accuracy, n-2 contingencies by 50%.
SOII Computer-Assisted Coding
The Survey of Occupational Injuries and Illnesses (SOII) collects hundreds of thousands of narratives describing cases of work-related injury and illness annually. Coders manually assigned classifications for worker occupation, nature of injury, part of body, event or exposure, source, and secondary source for each case until 2012, when the Occupational Safety and Health Statistics (OSHS)…
SoKat Suicidial Ideation Detection Engine
The SoKat Suicide Ideation Engine (SSIE) uses natural language processing (NLP) to improve identification of Veteran suicide ideation (SI) from survey data collected by the Office of Mental Health (OMH) Veteran Crisis Line (VCL) support team (VSignals).
Spectral Observation Convolutional Neural Network
This project developed method to analyze collected radiation spectra using advanced, scalable deep learning by combining spectroscopic expertise with high performance computing. Sophisticated deep learning can overcome the weaknesses of existing spectroscopic techniques and enhance the value of difficult measurements. This method was trained, tested, and operated on the International Space…
Splunk IT System Monitoring Software
Splunk utilizes machine learning to aggregate system logs from IT infrastructure systems and endpoints for auditing and
monitoring purposes
Steller sea lion automated count program
The NOAA Fisheries Alaska Fisheries Science Center Marine Mammal Laboratory (MML) is mandated to monitor the endangered western Steller sea lion population in Alaska. MML conducts annual aerial surveys of known Steller sea lion sites across the southern Alaska coastline to capture visual imagery. It requires two full-time, independent counters to process overlapping imagery manually (to avoid…
Steller sea lion brand sighting
Detection and identification of branded steller sea lions from remote camera images in the western Aleutian Islands, AK. The goal is to help streamline photo processing to reduce the effort required to review images.
Suggested Related Content
(AHRQ)
Show related searches that may provide the user with other related, valuable information
Support Vector Analysis for Computational Risk Assessment, Decision-Making, and Vulnerability Discovery in Complex Systems
This project addressed limitations in current probabilistic risk assessment (PRA) by combining a support vector machine and PRA software to auto-detect system design vulnerabilities and find previously unseen issues, reduce human error, and reduce human costs. This method does not require training data that would only be available in the event of system or subsystem failures.
SUVI Thematic Maps
The GOES-16 Solar Ultraviolet Imager (SUVI) is the NOAA operational solar extremeultraviolet imager. The SUVI Level 2 Thematic Map files in these directories are produced by the NOAA National Centers for Environmental Information in Boulder, Colorado. These data have been processed from Level 2 High Dynamic Range (HDR) composite SUVI images. The FITS file headers are populated with metadata…
Tailoring the Properties of Multiphase Materials Through the Use of Correlative Microscopy and Machine Learning
This research uses state-of-the-art machine learning (ML) techniques in a new and novel manner to identify and correlate the critical microstructural features in a multiphase alloy that exhibits high strength and fracture toughness. Experimental data will be used to train a convolutional neural network (CNN) in a semi-supervised environment to identify key microstructural features and…
Testing Performance of ML Model using H2O
USCIS is the component within DHS that oversees lawful immigration to the United States. That means USCIS receives, processes, and maintains all applications for admission for Lawful permanent residents (LPRs), or adjustments to LPR status. Also known as “green card” holders, LPRs are non-citizens who are lawfully authorized to live permanently within the United States and are required to fill…
Text Analytics Portal
The text analytics portal allows personnel without an analytics background to quickly examine text documents through a
related set of search, topic modeling and entity recognition technologies
TEXT SIMILARITY DETECTION
Tool to identify different texts that are identical or nearly identical by calculating cosine similarity between each pair of texts. Texts are then grouped if they share high cosine similarity and then available for analysts to review further.
The BIGMAP Project
The project uses machine learning, along with features derived from dense time series of Landsat imagery as well as climatic and topographic data, to impute attributes from the FIA national forest inventory database to 30-meter pixels to produce raster maps of forest resources of the contiguous United States.