Contemporary agriculture is a fertile ground for the effective use of economic and mathematical models, which can be evaluated to unwind several problems with characteristic optimization features: multiple solution opportunities freedom choice, limited production resources, efficiency valuation. The presented study aims develop model optimal crop structure under existing weather risks in agricu...

Reactive navigation is a well-known paradigm for controlling an autonomous mobile robot, which suggests making all control decisions through some light processing of the current/recent sensor data. Among the many advantages of this paradigm are: 1) the possibility to apply it to robots with limited and low-priced hardware resources, and 2) the fact of being able to safely navigate a robot in co...

Data Grid is an infrastructure that controls huge amount of data files, and provides intensive computational resources across geographically distributed collaboration. The heterogeneity and geographic dispersion of grid resources and applications place some complex problems such as job scheduling. Most existing scheduling algorithms in Grids only focus on one kind of Grid jobs which can be data...

The paper studies gyroscopic obstacle avoidance for autonomous vehicles. The goal is to obtain a simple controller that steers around obstacles and stabilizes to a desired state. The approach is applicable under the assumption that the obstacles are convex and that the control inputs can generate the required steering forces. This work extends the existing gyroscopic obstacle avoidance methodol...

background: despite significant reduction in global disease prevalence, leprosy still has a high rate of disability while its determinants are unfair and many of them are amendable. the objective of this study was to measure inequality of disability in leprosy in iran. methods: this was a cross‑sectional study (2006‑2007) on all living people affected by leprosy registered in w. azerbaijan prov...

This paper proposes a multi-objective genetic algorithm to optimize a manipulator trajectory. The planner has several objectives namely the minimization of the space and join arm displacements and the energy required in the trajectory, without colliding with any obstacles in the workspace. Simulations results are presented for robots with two and three degrees of freedom, considering the optimi...

In this paper we study a novel computational problem called the Hidden Root Problem, which appears naturally when considering fault attacks on pairing based cryptosystems. Furthermore, a variant of this problem is one of the main obstacles for efficient pairing inversion. We present an algorithm to solve this problem over extension fields and investigate for which parameters the algorithm becom...