This paper addresses real-time weapon classification by analysis of asynchronous acoustic data, collected from microphones on a sensor network. The weapon classification algorithm consists of two parts: (i) feature extraction from time-series data using Symbolic Dynamic Filtering (SDF), and (ii) pattern classification based on the extracted features using Language Measure (LM) and Support Vecto...

The U.S. Army holds title to one of the most envied weapon systems developed-the Abrams main battle tank (MBT). Militarily, this weapon represents the epitome of lethality and survivability on today's modern battlefield. To combat difficulties associated with maintaining this sophisticated weapon, the U.S. Army Research Laboratory (ARL) and the U.S. Army Ordnance Center and School (OC&S) combin...

The allocation of firing units to hostile targets is an important process within the air defense domain. Many algorithms have been proposed for solving various weapon allocation problems, but evaluation of the performance of such algorithms is problematic, since it does not exist any standard scenarios on which to test the algorithms. It is to a large extent unknown how weapon allocation algori...

The U.S. Army holds title to one of the most envied weapon systems developed-the Abrams main battle tank (MBT). Militarily, this weapon represents the epitome of lethality and survivability on today's modern battlefield. To combat difficulties associated with maintaining this sophisticated weapon, the U.S. Army Research Laboratory (ARL) and the U.S. Army Ordnance Center and School (OC&S) combin...

The new U.S. Army vision contends that heuristics are practical tools for achieving innovation. Overcoming complex terrain and adaptive hybrid threats in Syria, Iraq, and Afghanistan requires technological innovation. Supportability issues result from modifying deployed weapon systems with new technology for countering these types of threats. Collecting detailed data on deployed weapon systems ...

This study discusses a diagnostic approach to examining the lifecycle support system of a weapon system—specifically illustrating the approaches for the US Navy Phalanx Closein Weapon System (CIWS). The study gauges the status of current readiness and analyzes a snapshot of cost structures. The study identifies the program’s influential cost factors and system performance drivers. As a diagnost...

This communication addresses real-time weapon classification by analysis of asynchronous acoustic data, collected from microphones on a sensor network. The weapon classification algorithm consists of two parts: (i) feature extraction from time-series data using symbolic dynamic filtering (SDF), and (ii) pattern classification based on the extracted features using the language measure (LM) and s...

Hacking trauma is often encountered in forensic cases, but little experimental research has been conducted that would allow for the recognition of wounds caused by specific weapon types. In this paper, we report the results of a hacking trauma caused by machete, cleaver, and axe weapons and the characteristics of each weapon type on bone. Each weapon type was employed in multiple trials on pig ...

We propose a winner-takes-all (WTA) classifier for structures represented by graphs. WTA classification follows the principle elimination of competition. The input structure is assigned to the class corresponding to the winner of the competition. In experiments we investigate the performance of the WTA classifier and compare it with the canonical maximum similarity (MS) classifier.

Article history: Received 22 May 2006 Received in revised form 4 July 2007 Accepted 6 July 2007 Available online 1 August 2007 This paper highlights how farmers' willingness to supply non-marketed ecosystem services (ES) is influenced by whether or not the non-marketed ES are produced jointly with agricultural products. When marketed products and non-marketed ES share some production inputs the...