Coverage-based Greybox Fuzzing (CGF) is a practical and effective solution for finding bugs vulnerabilities in software. A key challenge of CGF how to select conducive seeds allocate accurate energy. To address this problem, we propose novel many-objective optimization solution, MooFuzz, which can identify different states the seed pool continuously gather information about guide schedule energ...

A series of extensional structures, including the southern Tibet detachment system (STDS), north-south trending rifts (NSTR), and northern Himalayan gneiss dome (NHGD), developed from collision compression between Indian Eurasian plates. These tectonic movements were accompanied by magmatism polymetallic mineralization. Cuona Rift (CR) is located on STDS next to Yalaxiangbo Dome (YD) passes thr...

We use different types of training algorithms in the neural network. But, we cannot say which kind algorithm is fast for a given problem. So, this survey paper, are trying to find better categorization problems. For purpose, used ten pattern network MATLAB. Levenberg-Marquardt (LM), Bayesian regularization backpropagation (BR), BFGS Quasi-Newton (BFG), Resilient Backpropagation (RP), Scaled Con...

Channel modeling is a challenging vital step towards the development of diffusion-based molecular communication networks (DMCNs). Analytical approaches for diffusion channel are limited to simple and specific geometries boundary conditions. Also, simulation- experiment-driven methods very time-consuming computationally complex. In this paper, model DMCN employing fundamental concentration Green...

Abstract Large deviation theory and instanton calculus for stochastic systems are widely used to gain insight into the evolution probability of rare events. At its core lies fact that events are, under right circumstances, dominated by their least unlikely realization. Their computation through a saddle-point approximation path integral corresponding field then reduces an inefficient sampling p...

Distributed simulation is an approach to building large-scale simulation models from a set of independent simulator nodes communicating via a network. The U. S. Army uses distributed simulation systems for both training and analysis. Those systems include both crewed simulators and computer generated forces (CGF) systems; the latter use software, rather than human crews, to generate the behavio...

This paper shows a distributed simulation framework for tactical training in networked virtual environment. The existing military training simulation systems are mostly full simulated systems operating on single platform. They are to train individual’s operation skill, but don’t support team level tactical training. In order to train team level combat and command skill in dynamic battlefield, t...

Computer Generated Forces (CGF), in order to be effective training tools, must exhibit robust, challenging, as well as realistic behaviors. CGF tasks usually have both cognitive and reactive aspects to them. The reactivity has to co-exist with the "higher-level" cognitive activities like planning and strategy assessment, in the system that interacts with the environment. The overall purpose of ...

The DoD widely uses airborne computer generated forces (CGFs) in simulation environments, however most CGFs are not autonomous or interactive enough to be directed naturally by a human controller. Full simulation capability requires detailed, doctrinally correct CGFs that can be controlled directly by airspace managers, such as air traffic controllers, air traffic services, or even ground comma...