Computer Science courses seek to hone students’ computational algorithmic thinking (CAT) capabilities. Oftentimes, students fail to recognize the connection between CAT in everyday life and its application in academic settings. One context in which people have a great deal of experience and expertise engaging in the design, implementation, and assessment of algorithms is food. This paper descri...

s part of an Office of Naval Research–funded science and technology development task, APL is developing an identification (ID) sensor data fusion testbed. The testbed is driven by an APL-modified version of the Joint Composite Tracking Network pilot benchmark called the Composite Combat ID Analysis Testbed (CAT). The CAT provides accurate tracking for realistic scenarios involving multiple targ...

The research field of swarm intelligence contains various algorithms inspired from the particular survival skills of the creatures in Mother Nature. Many researchers utilize these methods to solve problems in engineering and financial fields. In this review, the concept of four swarm intelligence methods, including Bat Algorithm (BA), Evolved Bat Algorithm (EBA), Cat Swarm Optimization (CSO), a...

By analyzing and researching several digital chaotic image encryption algorithms, this paper designs a symmetric image encryption scheme based on the threedimensional Henon chaotic map and the general Cat chaotic map. In this scheme, the chaotic sequence of general Cat map is used as the initialization sequence to confuse the positions of image pixels; the three-dimensional Henon chaotic map ca...

Computerized adaptive testing (CAT) is a sequential experiment design scheme that tailors the selection of experiments to each subject. Such a scheme measures subjects' attributes (unknown parameters) more accurately than the regular prefixed design. In this paper, we consider CAT for diagnostic classification models, for which attribute estimation corresponds to a classification problem. After...

a new structure learning approach for bayesian networks (bns) based on asexual reproduction optimization (aro) is proposed in this letter. aro can be essentially considered as an evolutionary based algorithm that mathematically models the budding mechanism of asexual reproduction. in aro, a parent produces a bud through a reproduction operator; thereafter the parent and its bud compete to survi...