In the SEI's examination of the software sustainment phase of the Department of Defense (DoD) acquisition lifecycle, we have noted that the best descriptor for sustainment efforts for software is "continuous engineering." Typically, during this phase, the hardware elements are repaired or have some structural modifications to carry new weapons or sensors. Software, on the other hand, continues to evolve in response to new security threats, new safety approaches, or new functionality provided within the system of systems. In this blog post, I will examine the intersection of three themes--product line practices, software sustainment, and public-private partnerships--that emerged during our work with one government program. I will also highlight some issues we have uncovered that deserve further discussion and research.
As the use of unmanned aircraft systems (UASs) increases, the volume of potentially useful video data that UASs capture on their missions is straining the resources of the U.S. military that are needed to process and use this data. This publicly released video is an example of footage captured by a UAS in Iraq. The video shows ISIS fighters herding civilians into a building. U.S. forces did not fire on the building because of the presence of civilians. Note that this video footage was likely processed by U.S. Central Command (CENTCOM) prior to release to the public to highlight important activities within the video, such as ISIS fighters carrying weapons, civilians being herded into the building to serve as human shields, and muzzle flashes emanating from the building.
Micro-expressions--involuntary, fleeting facial movements that reveal true emotions--hold valuable information for scenarios ranging from security interviews and interrogations to media analysis. They occur on various regions of the face, last only a fraction of a second, and are universal across cultures. In contrast to macro-expressions like big smiles and frowns, micro-expressions are extremely subtle and nearly impossible to suppress or fake. Because micro-expressions can reveal emotions people may be trying to hide, recognizing micro-expressions can aid DoD forensics and intelligence mission capabilities by providing clues to predict and intercept dangerous situations. This blog post, the latest highlighting research from the SEI Emerging Technology Center in machine emotional intelligence, describes our work on developing a prototype software tool to recognize micro-expressions in near real-time.
Each year since the blog's inception, we present the 10 most-visited posts of the year in descending order ending with the most popular post. In this blog post, we present the 10 most popular posts published between January 1, 2017 and December 31, 2017.