BIRD Aerosystems
Herzliya, Israel
www.birdaero.com

BIRD Aerosystems, a company that specializes in developing Airborne Missile Protection Systems (AMPS) and Special Mission Aircraft Solutions (ASIO), officially launched the OSCAR - Ocean Surveillance Control and Reconnaissance solution and demonstrated it for the first time at this year’s Paris Air Show 2019.

CONTROP Precision Technologies Ltd.
Lanham, MD
571-331-0042
www.controp.com

CONTROP Precision Technologies Ltd., a company that specializes in Electro-Optics (EO) and InfraRed (IR) defense and homeland security solutions, recently demonstrated its iSea-25HD system. The new and lightweight EO/IR payload is said to have unsurpassed maritime surveillance capabilities and has been specially configured for observation from maritime vessels, including small boats, even in the harshest and most challenging environmental conditions.

Kongsberg Geospatial
Ottawa, Ontario, Canada
1-800-267-7330
www.kongsberggeospatial.com

Kongsberg Geospatial, an Ottawa-based geospatial and defense technology company, recently introduced a new multi-domain control system for coordinating the use of drones in the battlespace.

UAVOS Inc.
Mountain View, CA
650-584-3176
www.UAVOS.com

A Robinson-22 helicopter converted by UAVOS into an unmanned drone successfully completed in-air programmed missions. Its first flight, with a duration of more than 1 hour, was fully self-piloted, reaching a height of up to 2200 ft (670m). During the flight all scheduled tests were performed including fully automatic take-off, en-route flight and landing. Tuning of UAV control settings was also completed.

Netline Communications Technologies Ltd.
Tel Aviv, Israel
www.netlinetech.com

Netline Communications Technologies Ltd., a company that develops and manufactures high-end electronic warfare and spectrum dominance systems for defense forces and homeland security agencies, is supplying its C-Guard Reactive Jamming (RJ) Manpack system to the Israel Defense Forces (IDF). The system is already being operated by the IDF and is also in ongoing use by ground forces in NATO countries, Asia and Africa.

Increasing the operational efficiency of weapons employed in hostile environments is a high priority of the United States Air Force (USAF). In recent history, the USAF has made a move to smaller and internally stored weapons, especially for fighter aircraft. Maintaining a low radar cross section signature, and thus a low observable air vehicle, is desirable so the aircraft is less detectable by the enemy.

Acoustic waves propagating in the atmosphere may undergo many effects including refraction by temperature and wind velocity gradients, scattering by atmospheric turbulence, absorption by the atmosphere (fluid), diffraction by terrain features, and absorption and reflection by a porous ground. As a result, there may be insonification in acoustic shadow zones, amplitude and phase fluctuations of the propagating sound signals, loss of signal coherence, changes in the interference maxima and minima of the direct ground reflected waves, and multipath effects. Understanding these effects is important for a variety of military applications, such as acoustic source localization and classification, noise propagation in the atmosphere, and the development of new remote sensing techniques of the atmosphere.

The motivation for this work is to mitigate shock levels on vehicle components, through testing new designs of equipment. The objective is to generate a time history to perform shock testing on military and commercial ground vehicle components. The time histories are used to drive hydraulic actuators coupled to a test specimen.

The U.S. Engineer Research and Development Center (ERDC) Military Engineering Program on Remote Assessment of Infrastructure for Ensured Maneuver (RAFTER) Boreal Aspects of Ensured Maneuver (BAEM) identifies the need for modeling over-snow vehicle performance, as many factors related to vehicle setup and land surface condition contribute to vehicle efficiency. Accurately estimating snow macromechanical characteristics—such as elastic modulus, stiffness, and strength—is critical for understanding how effectively a vehicle will travel over snow-covered terrain.

Analyzing large data is the process of methodically and systematically making decisions to reduce incomprehensible datasets down to a manageable size that can be viewed and understood easily. These reductions are made by performing data analytics, producing metrics, identifying patterns, and/or producing any other criteria of comparison that can be mathematically modeled.