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May 23, 2019 | International, Aerospace, Naval, Land, C4ISR, Security, Other Defence

Contract Awards by US Department of Defense - May 22, 2019

NAVY

Raytheon Co., Fullerton, California, is awarded a $234,640,402 fixed-price-incentive, firm-target contract for the low-rate initial production of 23 Joint Precision Approach and Landing Systems. In addition, this contract procures three production and installation engineering development model unit upgrade kits, engineering change proposals, and associated data. Work will be performed in Fullerton, California (68 percent); Cedar Rapids, Iowa (22 percent); and Indianapolis, Indiana (10 percent), and is expected to be completed in August 2023. Fiscal 2019 other procurement (Navy); and fiscal 2019 shipbuilding and conversion (Navy) funds in the amount of $49,134,484 will be obligated at time of award, none of which will expire at the end of the current fiscal year. This contract was not competitively procured pursuant to Federal Acquisition Regulation 6.302-1. The Naval Air Systems Command, Patuxent River, Maryland, is the contracting activity (N00019-19-C-0020).

Raytheon Missile Systems, Tucson, Arizona, is awarded a $151,468,431 firm-fixed-price, cost-plus-fixed-fee, indefinite-delivery/indefinite-quantity contract for integrated logistics support and repairs for the sustainment of the AIM-9X Block II and Block II+ missiles. These services are in support of the Navy, Air Force, and the governments of Australia, Belgium, Denmark, Finland, Israel, Japan, Korea, Kuwait, Oman, Malaysia, Morocco, Netherlands, Norway, Poland, Romania, Saudi Arabia, Singapore, Switzerland, Taiwan, and Turkey under the Foreign Military Sales (FMS) program. Work will be performed in Tucson, Arizona (90.7 percent); Cheshire, Connecticut (7 percent); Andover, Massachusetts (0.7 percent); Burlington, Massachusetts (0.6 percent); Heilbronn, Germany (0.5 percent); and various locations within the continental U.S. (0.5 percent), and is expected to be completed in May 2022. No funds will be obligated at time of award; funds will be obligated on individual task orders as issued. This contract was not competitively procured pursuant to 10 U.S. Code 2304(c)(1). The Naval Air Systems Command, Patuxent River, Maryland, is the contracting activity (N00019-19-D-0023).

Lockheed Martin Corp., Lockheed Martin Aeronautics Co., Fort Worth, Texas, is awarded $11,336,274 for modification P00003 to a previously awarded cost-plus-incentive-fee contract (N00019-19-C-0004). This modification exercises an option for deployment and operation of test aircraft in support of the F-35 Lightning II development, production, and sustainment for the Air Force, Navy, and non-U.S. Department of Defense (DoD) participants. Work will be performed in Lakehurst, New Jersey (70 percent); and Eglin Air Force Base, Florida (30 percent), and is expected to be completed in March 2020. Fiscal 2019 research, development, test and evaluation (Air Force and Navy); and non-U.S. DoD participant funds in the amount of $11,336,274 will be obligated at time of award, none of which will expire at the end of the fiscal year. This option combines purchases for the Air Force ($8,791,728; 78 percent); Navy ($224,464; 2 percent) and non-U.S. DoD participants ($2,320,082; 20 percent). The Naval Air Systems Command, Patuxent River, Maryland, is the contracting activity.

Raytheon Co., Fullerton, California, is awarded $8,997,334 for modification P00030 to a previously awarded cost-plus-incentive-fee contract (N00019-16-C-0052) to design, prototype, and test a replacement Joint Precision Approach and Landing System Ship Global Positioning System Sensor Unit (SGSU). This resolves obsolescence driven by part shortages in the Digital Integrated Global Positioning System Anti-Jam Receiver, a major subassembly of the SGSU. Work will be performed in Cedar Rapids, Iowa (59.4 percent); Fullerton, California (40.4 percent); and Indianapolis, Indiana (0.2 percent), and is expected to be completed in July 2021. Fiscal 2019 research, development, test and evaluation (Navy) funds in the amount of $8,997,334 will be obligated at time of award, none of which will expire at the end of the current fiscal year. The Naval Air Systems Command, Patuxent River, Maryland, is the contracting activity.

Computer Systems Center Inc.,* Springfield, Virginia, is awarded a $7,474,901 indefinite-delivery/indefinite-quantity contract to perform up to 51,180 hours of concept and requirements development and system engineering services for the F-35 Lightning II Offboard Mission Support Integrated Product Team. Work will be performed in Springfield, Virginia (60 percent); China Lake, California (20 percent); Arlington, Virginia (10 percent); and Fort Worth, Texas (10 percent), and is expected to be completed in May 2024. Fiscal 2019 working capital funds (Navy) in the amount of $205,572 will be obligated at time of award, none of which will expire at the end of the fiscal year. This contract combines purchases for the Navy ($4,858,686; 65 percent); and the Foreign Military Sales customers ($2,616,215; 35 percent). This contract was not competitively procured pursuant to Federal Acquisition Regulation 6.302-1. The Naval Air Warfare Center Weapons Division, China Lake, California, is the contracting activity (N68936-19-D-0035).

AIR FORCE

Sierra Nevada Corp., Sparks, Nevada, has been awarded a $74,902,132 definitive C-type contract for installation of a Degraded Visual Environment System (DVES), which improves situational awareness to pilots and aircrew operating in DVE conditions by adding new functional capabilities to the HH-60G. This contract provides for the procurement, installation, and integration of the DVES solution on 85 HH-60G helicopter aircraft. Work will be performed in Sparks, Nevada, and is expected to be complete by May 21, 2024. This award is a result of a competitive acquisition resulting in three offers received. Fiscal 2019 other procurement funds in the amount of $19,155,984 are being obligated at the time of award. Air Force Material Command, Robins Air Force Base, Georgia, is the contracting activity (FA8552-19-C-0002).

The Boeing Co., St. Louis, Missouri, has been awarded a $40,974,754 firm-fixed-price modification (P00026) to previously awarded contract FA8621-16-C-6397 for F-15C and F-15E Mission Training Center Services contractor-furnished, high-fidelity simulation equipment to provide simulation capability to train pilots and weapons system operators. This modification provides four additional pilot/weapon systems officer crew stations devices and their associated equipment in support of aircrew training requirements. Work will be performed at Nellis Air Force Base, Nevada, and is expected to be complete by Feb. 15, 2021. This modification brings the total cumulative face value of the contract to $229,428,492. Fiscal 2019 operations and maintenance funds in the full amount are being obligated at the time of award. Air Force Life Cycle Management Center, Wright-Patterson Air Force Base, Ohio, is the contracting activity.

BAE Systems Technology Solutions & Services Inc., Rockville, Maryland, has been awarded a $7,758,301 delivery order (FA2521-19-F0139) against previously awarded contract FA2521-16-D-0010 for serviceable components and subsystems for Instrumentation Tracking Systems (ITS). This delivery order provides for a 5.5 KVDC transmitter power upgrade for AN/FPS-8a5 Phased Array Radar. Work will be performed at Eglin Air Force Base, Florida, and is expected to be complete by March 17, 2021. Fiscal 2019 operations and maintenance funds in the full amount are being obligated at the time of award. The 45th Contracting Squadron, Patrick Air Force Base, Florida, is the contracting activity. (Awarded May 16, 2019)

ARMY

Caelum Research Corp.,* Rockville, Maryland, was awarded a $22,639,066 hybrid (cost-no-fee and firm-fixed-price) contract for data and information management support services. Twenty five bids were solicited with three bids received. Work will be performed in Huntsville, Alabama, with an estimated completion date of Nov. 30, 2024. Fiscal 2019 operations and maintenance, Army funds in the amount of $3,694,966 were obligated at the time of the award. U.S. Army Contracting Command, Redstone Arsenal, Alabama, is the contracting activity (W31P4Q-19-F-0324).

Sentar Inc.,* Huntsville, Alabama, was awarded a $10,426,896 hybrid (cost-no-fee and firm-fixed-price) contract for cyber security and information management support services. Twenty five bids were solicited with six bids received. Work will be performed in Huntsville, Alabama, with an estimated completion date of Nov. 30, 2024. Fiscal 2019 operations and maintenance, Army and Army working capital funds in the amount of $1,683,982 were obligated at the time of the award. U.S. Army Contracting Command, Redstone Arsenal, Alabama, is the contracting activity (W31P4Q-19-F-0323).

CAT Island Conservancy LLC,* Baton Rouge, Louisiana, was awarded an $8,121,750 firm-fixed-price contract to purchase Bottomland Hardwood Impacts mitigation bank credits/acres from approved mitigation bank(s) in the Lake Pontchartrain and/or Mississippi River basins. Bids were solicited via the internet with four received. Work will be performed in Baton Rouge, Louisiana, with an estimated completion date of June 3, 2019. Fiscal 2019 Army Corps of Engineers civil construction funds in the amount of $8,121,750 were obligated at the time of the award. U.S. Army Corps of Engineers, New Orleans, Louisiana, is the contracting activity (W912P8-19-C-0037).

DEFENSE ADVANCED RESEARCH PROJECTS AGENCY

Galois Inc., Portland, Oregon, was awarded a $16,479,920 cost-plus-fixed-fee contract for a research project under the Safe Documents (SafeDocs) program. The SafeDocs program aims to develop novel verified programming methodologies for building high assurance parsers for extant electronic data formats, and novel methodologies for comprehending, simplifying, and reducing these formats to their safe, unambiguous, verification-friendly subsets (safe sub-setting). SafeDocs will address the ambiguity and complexity obstacles to the application of verified programming posed by extant electronic data formats. Work will be performed in Portland, Oregon, with an expected completion date of May 2023. Fiscal 2019 research, development, test and evaluation funding in the amount of $2,326,000 are being obligated at time of award. This contract was a competitive acquisition under an open broad agency announcement and 23 offers were received. The Defense Advanced Research Projects Agency, Arlington, Virginia, is the contracting activity (HR001119C0073).

*Small business

https://dod.defense.gov/News/Contracts/Contract-View/Article/1855659/source/GovDelivery/

On the same subject

  • Done deal: Boeing will have to rip and replace KC-46 sensor and camera systems on its own dime

    April 2, 2020 | International, Aerospace

    Done deal: Boeing will have to rip and replace KC-46 sensor and camera systems on its own dime

    By: Valerie Insinna WASHINGTON — Boeing and the Air Force have finalized an agreement to fix the KC-46 aerial refueling tanker's most serious technical problem, Defense News has learned from multiple sources familiar with the matter. The agreement puts an end to years of negotiations between the Air Force and aerospace giant over the nature and extent of redesign work needed to correct the Remote Vision System, the collection of cameras and sensors that provide boom operators the imagery needed to steer the boom into another aircraft and safely transfer fuel. Perhaps more importantly, the deal paves a path that will allow the service to deploy the KC-46 in combat in the mid 2020s — something Air Force leaders have bristled against with the tanker in its current form. The Air Force and Boeing have agreed on a two-phased roadmap to address RVS technical issues, said one source familiar with the agreement. The first phase allows Boeing to continue providing incremental improvements to software and hardware that will fine-tune the imagery seen by the boom operator, the source said. The second phase — which will take years to complete — involves a comprehensive redesign of the RVS where its hardware and software will be almost completely replaced with new color cameras, advanced displays and improved computing technology. Boeing and the Air Force both declined to comment on the matter. Unlike legacy tankers, where boom operators can look out a window in the back of the aircraft and rely on visual cues to steer the boom, operators in the KC-46 are completely dependent on the imagery provided by the RVS. Although Air Force operators say the system works in most conditions — and provides a safer way to offload fuel during nighttime conditions or bad weather — certain lighting conditions can cause the RVS imagery to appear warped and misleading, contributing to cases where the boom accidentally scrapes the surface of another aircraft. That could be a safety hazard for the pilot of the plane receiving gas, and it could also potentially scrape the stealth coating off a low observable jet, eroding its ability to evade radar detection. Under the terms of Boeing's fixed-price firm contract and previous agreements with the service, the company will be financially responsible for paying for the entirety of the redesign effort. The company has already exceeded the $4.9 billion ceiling on the contract, and has paid more than $3.5 billion in cost overruns as technical problems have mounted. Boeing is the system integrator for the RVS and designs its software, while the system's cameras and sensors are primarily designed by Collins Aerospace. Air Force's acquisition executive Will Roper is expected to brief congressional staff on the deal this afternoon, sources said. Afterwards, the service is expected to release additional information about the deal. Boeing delivered the first KC-46 tanker to McConnell Air Force Base, Kan., in January 2019, but the Air Force has withheld $28 million per aircraft upon delivery due to the RVS issues. So far, the company has delivered 33 tankers to the service. https://www.defensenews.com/breaking-news/2020/04/02/done-deal-boeing-will-have-to-rip-and-replace-kc-46-sensor-and-camera-systems-on-its-own-dime

  • Congressional commission wants more cyberwarriors for the military

    January 8, 2020 | International, C4ISR, Security

    Congressional commission wants more cyberwarriors for the military

    Mark Pomerleau The U.S. Cyberspace Solarium Commission, a bipartisan organization created in 2019 to develop a multipronged U.S. cyber strategy, will recommend the Department of Defense add more cyberwarriors to its forces, the group's co-chair said Jan. 7. The cyber mission force was established in 2013 and includes 133 teams and roughly 6,200 individuals from across the services that feed up to U.S. Cyber Command. These forces reached a staffing milestone known as full operational capability in May 2018, however, some on the commission believe the cyber landscape has changed so that the force needs to adapt as well. In a final report that's expected in the coming months, the solarium will recommend adding more cyberwarriors. “It's fair to say that force posture today in cyber is probably not adequate," said Rep. Mike Gallagher, R-Wisc., co-chair of the U.S. Cyberspace Solarium Commission. Gallagher spoke at an event hosted by the Council on Foreign Relations in Washington Jan. 7. Within the last two years, Cyber Command has described a philosophy called persistent engagement, which is a means of constantly contesting adversary behavior in cyberspace before it can be disruptive. Persistent engagement is viewed as a means of meeting the 2018 DoD cyberspace strategy's direction to “defend forward.” That action seeks to position U.S. cyber forces outside of U.S. networks to either take action against observed adversary behavior or warn partners domestically or internationally of impending cyber activity observed in foreign networks. It is under this new approach that Gallagher and other commission members said the Pentagon must ensure its forces are capable of meeting the burgeoning challenges from bad actors. “We need to figure out what's the right size” of the force, Mark Montgomery, executive director of the commission, said at an event in November. “In my mind, the CMF probably needs to be reassessed. It might be that the assessment [says] that the size is the right size. I find that hard to believe with the growth in adversary.” The cyber mission force is made up of about 5,000 service members out of a full staff of about 6,200, Dave Luber, Cyber Command's executive director said in November. According to a defense official, it's normal that staffing will fall below 100 percent but leaders are confident in DoD's cyber forces' readiness and ability to defend the nation. During a February 2019 hearing before the Senate Armed Services Committee, Cyber Command's leader, Gen. Paul Nakasone, said the force is the right size for the threats they currently face, but as it continues to operate and adversaries improve, it will need to grow beyond the 133 teams. However, Nakasone told a defense conference in California in December that the force has been built to execute the persistent engagement strategy. “Within U.S. Cyber Command, the National Security Agency, it's about persistent engagement; this idea that we will enable our partners with information and intelligence and we will act when authorized,” he said. “This is the way forward for us ... This is the way that we've structured our force. This is the way that we developed our doctrine. This is the way that we engage our adversaries ... this is our method upon which we look at the future and say this is how we have an impact on our adversaries.” Aside from the Cyberspace Solarium Commission, Congress now requires the Department of Defense to provide quarterly readiness briefings on the cyber mission force. In the annual defense policy bill, signed into law in December, Pentagon officials must brief members of Congress on the abilities of the force to conduct cyber operations based on capability, capacity of personnel, equipment, training and equipment condition. The secretary of defense must also establish metrics for assessing the readiness of the cyber mission force, under the provision. https://www.fifthdomain.com/dod/2020/01/07/congressional-commission-wants-more-cyberwarriors-for-the-military/

  • Differentiating a port from a shipyard is a new kind of problem for AI

    September 19, 2018 | International, C4ISR

    Differentiating a port from a shipyard is a new kind of problem for AI

    By: Daniel Cebul It's well known that satellites and other intelligence, surveillance and reconnaissance platforms collect more data than is possible for humans to analyze. To tackle this problem, the Intelligence Advanced Research Projects Activity, or IARPA, conducted the Functional Map of the World (fMoW) TopCoder challenge from July 2017 through February 2018, inviting researchers in industry and academia to develop deep learning algorithms capable of scanning and identifying different classes of objects in satellite imagery. IARPA curated a dataset of 1 million annotated, high-resolution satellite images aggregated using automated algorithms and crowd sourced images for competitors to train their algorithms to classify objects into 63 classes, such as airports, schools, oil wells, shipyards, or ports. Researchers powered their deep learning algorithms by combining large neural networks, known as convolutional neural networks (CNNs), and computers with large amounts of processing power. The result was a network that, when fed massive amounts of training data, can learn to identify and classify various objects from satellite imagery. By combining a number of these networks into what is called an ensemble, the algorithm can judge the results from each CNN to produce a final, improved result that is more robust than any single CNN. This is how a team from Lockheed Martin, led by Mark Pritt, designed their deep learning algorithm for the challenge. Pritt explained to C4ISRNET, that he and his team developed their CNN using machine learning software and framework from online open source software libraries, such as Tensor Flow. Earning a top five finish, the algorithm designed by Pritt's team achieved a total accuracy of 83 percent, and was able to classify 100 objects per second. Pritt said that with fully functioning algorithm, this software could take an image recognition task that takes a human an hour to complete and reduce the process to a few seconds. The team's algorithm excelled at identifying classes with distinctive features, and successfully matched nuclear power plants, tunnel openings, runways, tool booths, and wind farms with accuracies greater than 95 percent, but struggled with more indiscreet classes such as shipyards and ports, hospitals, office buildings, and police stations. “Usually when you develop an algorithm its nice to see where it succeeds, but you actually learn the most where you look at where the algorithm fails or it doesn't do well,” Pritt said. In trying to decipher why the algorithms struggled, Pritt said the competitors suggested that some objects simply don't have any distinguishing features from the point of view of a satellite image for the algorithms to recognize. “Maybe the most important ingredient you need for these new types of algorithm to work is the dataset because these algorithms require a great amount of data to train on,” Pritt explained. “It's kind of analogous to the way a human will learn in childhood how to recognize things. You need lots of examples of what those things are and then you can start to generalize and make your own judgments,” he said. But even with large amounts of training data that is correctly labeled, it is also possible the deep learning technology of today cannot reach the higher levels of intelligence to recognize nuanced differences. For example, Lockheed Martin's algorithm confused shipyards and ports 56 percent of the time. Pritt said that people “look at an image and they can tell that it's a port or a shipyard, they are usually looking at very subtle things such as if there is a ship in dry dock or if there is a certain type of crane present. They are looking for details in the image that are maybe higher level or more complicated than what these deep learning algorithms can do right now.” However, the fact that these algorithms cannot do everything should not dismiss the significant contribution they could provide to the defense and intelligence community. Hakjae Kim, IARPA's program manager for the fMoW challenge, said the benefits of this technology could extend far beyond faster image processing. “I want to look at it more in the perspective that we can do things we weren't able to do before,” Kim said. “Because its technology that we are now able to do x, y and z, there are more applications you can create because with the human power it is just impossible to do before.” Kim and Pritt stressed managing expectations for CNN-based artificial intelligence. “This is a real technology that will work, but it also has limitations. I don't want to express this technology as a magic box that will just solve everything magically,” Kim said. “I don't want the users in the field to get disappointed by the initial delivery of this technology and say 'Oh, this is another technology that was oversold and this is not something we can use," he added. Part of managing our expectations for AI requires recognizing that although intelligence is in the name, this technology does not think and reason like humans. “A lot of the time we think that because we use the term AI, we tend to think these algorithms are like us, they are intelligent like us,” Pritt said. “And in someways they seem to mimic our intelligence, but when they fail we realize ‘Oh, this algorithm doesn't really know anything, [it] doesn't have any common sense.'” So how are IARPA and Lockheed Martin working to improve their algorithms? For IARPA, Kim's team is working on updating and maintaining their dataset to ensure algorithms have the most up to date information to train on, ultimately making the CNN-based algorithms easier to trust. “[S]ubtle changes in the area mess up the brains of the system and that system will give you a totally wrong answer,” Kim explained. “So we have planned to continuously look over the area and make sure the algorithm we are developing and reassessing for the government to test on and use to be robust enough for their application," he furthered. Work is also underway at American universities. Kim described how a team of researchers at Boston University are using the fMoW dataset and tested algorithms to create heat maps that visualize what part of the image algorithms are using to classify objects. They've found that sometimes it is not the object itself, but clues surrounding the object that aid most in classification. For example a “windmill that actually shows a shadow gives a really good indicator of what that object is,” Kim said. “Shadows show a better view of the object. A shadow is casting the side view of the object over on the ground, so [BU's heat map algorithm] actually points out the shadow is really important and the key feature to make the object identified as a windmill.” But don't expect these algorithms to take away the jobs of analysts any time soon. “I think you still need a human doing the important judgments and kind of higher level thinking,” Pritt said. “I don't think AI will take away our jobs and replace humans, but I think what we have to do is figure out how to use them as a tool and how to use them efficiently, and that of course requires understanding what they do well and what they do poorly," he concluded. https://www.c4isrnet.com/intel-geoint/2018/09/18/differentiating-a-port-from-a-shipyard-is-a-new-kind-of-problem-for-ai

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