Our Core Capabilities
Cloud Computing
Solid State Scientific Corporation (SSSC) helps your organization, whether small or large, modernize your applications and secure your infrastructure, migrate your applications into the cloud and successfully navigate the Authority To Operate (ATO) Process.
Cloud Architecture & Design
The SSSC AWS Certified Solution architects combine cloud design best practices for security, functionality, and cost optimization to provide custom cloud architectures to meet the needs of each customer. SSSC can provide a wide range of capabilities ranging from website hosting, a hybrid extension of an existing network, or complete migration services for existing enterprise applications into a secure, DoD approved cloud environment.
DevSecOps
Development/Security/Operations (DevSecOps) is a security-first disciplined approach to continuous software integration and delivery. SSSC provides the DevSecOps Environment including the CI/CD pipelines and security experts to provide for Authority to Operate (ATO) Process.
Data & APIs
SSSC has extensive experience with data intensive customers, offering a low-cost automated solution to data ingestion using a variety of AWS native and third-party services. Heterogeneous data can be imported via event-driven pipelines to Extract, Transform and Load (ETL) using services such as AWS Glue. SSSC also develops, integrates and manages Application Program Interfaces (API) to meet the needs of the customer.
Cloud Security & IAM
SSSC follows Cloud security technologies and processes that ensure your organization’s cloud infrastructure is protected against internal and external cybersecurity threats. SSSC can help define the right cloud identity and Access Management (IAM) strategy. The right policy will be one that meets cloud-first objectives, but also considers your organization's internal policy compliance and security, architecture constraints, and the customization requirements of your workflows.
Sustainment
SSSC can provide a Cloud Management Platform for monitoring the environment. Also, logging and dashboards associated with Splunk can be configured for customer use. More generally, SSSC can offer a variety of cloud native and vendor tools that help track applications, users, and costs across the environment.​
Virtual Workstation
Using a thin client approach, SSSC can provide a secure desktop for your environment that goes wherever you go. Using cloud resources along with your chosen secure method of authenticating (CAC Card, Secure ID Card, Password with MFA), SSSC can create desktops that look, feel and act just like your normal desktop. Cloud Desktops offer the additional benefits of the cloud such as auto-scaling shared application repositories, and instant backup.​​
Artificial Intelligence & Machine Learning
SSSC has been active in implementing Deep Learning and Machine Learning for a variety of specific problems of interest to our customers and then deploying the trained networks to either on-premises applications or to the Cloud in a secure environment.
AI Process
Although each project is unique, there is a common process to all the projects:
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1. Problem Definition: A meeting takes place where the problem, timeline, and availability of data is discussed.
2. Data Formatting: Available datasets are formatted and/or created for the project.
3. Preprocessing: The dataset is preprocessed to present the data in the most advantageous way for characterization and/or operation.
4. Network Architecture: The processing chain is designed. This constitutes both workflow and network design.
5. Network Training: The network is trained to increase the accuracy of the results.
6. Test of Network: The network is tested and improved through iteration.
7. Deploy Network in Relevant Environment: The network is deployed at the customer site.
AI Examples
SSSC has applied Deep Learning / Machine Learning techniques to various real-world issues:
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SSSC synthetically generated Short Wave Infrared (SWIR) imagery from visible and Near Infrared (NIR) imagery using Convolutional Neural Networks (CNNs).
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SSSC trained a CNN to discriminate radar tracks of small drones from radar tracks of non-drones including birds and animals, as well as wind-blown vegetation and other clutter.
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SSSC developed a ML tool that automatically detects errors and contamination in Radar Cross Section (RCS) measurements. This tool exploits recent advances in ML by using a DL neural network to classify between clean sets of RCS measurements versus those containing radar interference or other sources of error.
Radar Processing
SSSC is a leader in innovative radar processing techniques. Breakthroughs in radar data processing allow users to see more from existing radar data and do more with next generation radar systems. Our inventive approach contributes to solutions to a variety of common radar challenges, such as tracking moving targets, improving radar imagery, and finding buried objects.
GTMI Processing
SSSC has developed Ground Moving Target Indicator (GMTI) processing for use on small SWaP platforms. The processing consists of a unique Hybrid technique which yields:
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Robust detection of dismounts
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Detection of slow moving targets
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Computationally Efficient Processing
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Improved False Alarm Rate (FAR) performance in challenging urban and mountainous clutter environments
SAR Image Processing
Synthetic Aperture Radar (SAR) and GMTI are performed simultaneously from the same pulses of data. GMTI detections and tracks are overlaid directly onto SAR images, thereby adding context for enhanced situational awareness. The high frame rate and the absence of coverage gaps from switching between RADAR modes will facilitate maintaining track on non-cooperative, maneuvering, and move-stop-move targets such as enemy dismounts or vehicles in traffic.
EO/IR Processing
SSSC has extensive experience in EO/IR processing that is available to be leveraged to solve your most complicated problems. The specialized processing techniques are developed for each specific data type to provide the most relevant information to meet the needs of the customer.
Imaging through Turbulence
SSSC develops algorithms for imaging through atmospheric turbulence. SSSC algorithms improve upon one of the traditional techniques for imaging through atmospheric turbulence, the so-called "Lucky Look" technique by applying Fourier analysis to select the sharpest regions from a sequence of collected images.
Spectral Processing
The SSSC software development efforts convert sensor measurements into data products. Whether it is spectral imaging data or non-imaging data spanning the visible through long wave infrared, SSSC provides innovative solutions for optimizing the information from the data and ultimately providing unique solutions to the customer.