The Data Load Engine (DLE) Next-Generation Avionics Products (NGAP) software application provides the ability to upload databases and equipment tables to avionics Line Replaceable Units (LRUs) residing onboard the aircraft. The DLE software operates within the Onboard Data Loader (ODL) subsystem, which also includes the display management applications responsible for providing the user interface and communicating with the DLE. The DLE software supports databases and equipment tables packaged in the ARINC 655 format. It provides a common interface for loading the databases and equipment tables – residing either locally or on a remote file server – to LRUs on the aircraft, supporting multiple data load protocols (ARINC 615A and 615-3).
A group of researchers from Kansas State University developed an algorithm to produce nitrogen recommendations that produce high crop yield for growers based on satellite imagery. They started out using drones to prove the algorithm but then found a way to take it to a large scale market by leveraging satellite imagery.
The client produces Intelligent Transportation Systems (ITS) that provide routing, scheduling, dispatch, and health monitoring for transit organizations. These systems are highly configurable and require base code that can be fine-tuned to meet each customer’s specific needs.
The Highway Monitor was a system targeted for a large urban region that wanted to have a real‐time support system to allow the service teams to communicate. The system would allow them to dispatch and track freeway service patrol and traffic management teams over a wireless network. The freeway service patrol consisted of tow trucks that were contracted during rush four traffic to assist motorists. This assistance could come in the form of a gallon of gas, towing of the vehicle, to transporting of occupants of the vehicle, to ensure traffic congestion was minimized. Traffic management team vehicles also aided motorists by raising signs on their trucks to inform other motorists that they were approaching a potential traffic incident. These incidents could range from lane closures to detours.
Under this contract, Genova performs Oracle database administration, compiles reports, collects and converts data, and designs and maintains web applications. Primary program support work involves the migration of an Oracle-based application to an ASP.NET web application, using web services.
Responsibilities include programming the ISIS/SPOE enterprise solution and related applications based on the design that complies with the DON enterprise architecture standards, converting the Oracle based application to include the forms, reports, and application into an ASP.NET web application, querying ad-hoc reports, researching problems, and developing recommended solutions.
Genova Technologies developed this world-class application as part of an onboard information network, providing an international transportation customer with a unique system that provides in-flight wireless access to information on an aircraft server, as well as information available on the Internet. Using this technology, airline customers can surf the Internet or check their email while in flight.
Genova delivered feature enhancements and bug fixes for an embedded software application that monitored the flow of fertilizer on fields. Enhancements included revising and integrating a flow control to take into account additional features, adding support for new flowmeters, integrating updates to a library used by the application, and fixing bugs with existing features that interacted with the sensor.
Genova Technologies supported a DARPA program to demonstrate a tactical airborne network. A few main goals of the demonstration were to perform dynamic awareness, multiple levels of security, and low latency data rates. Later in the prototype lifecycle, the tactical airborne waveform was ported to a Software Common Architecture (SCA) waveform and deployed for use.
Genova has delivered embedded software engineering of an application that allows the combine harvester operator to view machine health and crop health status, as well as adjust harvesting parameters, in order to improve harvesting efficiency. Genova utilizes a Scrum Agile software development methodology for all work completed on this project.
The University of Iowa Hospitals and Clinics is the largest teaching hospital in the United States. Genova has partnered with the University of Iowa Healthcare to produce an innovative approach to delivering CE (continuing education) credits to nurses at the point of care. The result of this partnership is CE Headquarters. The original funding for this product was the result of winning an SBIR (Small Business Innovation Research) grant. The University of Iowa and Genova Technologies own the patent on the business process for Point of Care Continuing Education.
Genova was contracted to deliver software engineering consulting and software prototyping for a farming product that will reduce animal mortality in the pork industry and improve the overall welfare of its livestock. This product includes emerging software technologies such as animal noise recognition as well as significant hardware design and controls development in order to operate a harness and monitor temperature conditions. This product also utilizes cutting edge wireless technology with data stored in the cloud.
The CV-TSC system provides increased situational awareness to the Carrier Strike Group (CSG) in support of shipboard self-defense, primarily in the area of Anti-Submarine Warfare (ASW) and Surface Warfare (SUW) on an Aircraft Carrier. As an integrated element of the CVN Combat System, CV-TSC supports the tactical deployment of embarked ASW and SUW assets utilized in detecting, classifying, and localizing threats. The primary aircraft supported is the MH-60R multi-mission helicopter.
Genova Technologies, Inc. delivered system architecture and prototyping of a mobile app for a large agricultural customer. This app enables farmers to perform tests and fine-tune their planters in the field. Without this app, testing and tuning a piece of equipment requires two people, a farmer standing next to the equipment monitoring and making adjustments and a helper in the tractor cab. This app, therefore, alleviates the need for a second person.