In recent years, unmanned vehicles have intensively been developed to reduce human dangers for marine applications. Predicting the hydrodynamic coefficients of an autonomous underwater vehicle is important during the vehicle’s design phase. In other words to design an AUV, one must clarify its maneuverability and controllability based on a mathematical model. The mathematical model contains var...

Optimizing the service card in multi-depot, multi-product and multi-level vehicle routing problem is one of the most important and at the same time, the most complex problems in the transportation problems contexts. Numerous exact heuristic and meta-heuristic algorithms have been developed for different vehicle routing problems. In this paper, a binary linear programming (BLP) based model for o...

over the past decades a number of approaches have been applied for forecasting mortality. in 1992, a new method for long-run forecast of the level and age pattern of mortality was published by lee and carter. this method was welcomed by many authors so it was extended through a wider class of generalized, parametric and nonlinear model. this model represents one of the most influential recent d...

when a vehicle travels on a road, different parts of vehicle vibrate because of road roughness. this paper proposes a method to predict road roughness based on vertical acceleration using neural networks. to this end, first, the suspension system and road roughness are expressed mathematically. then, the suspension system model will identified using neural networks. the results of this step sho...

When a vehicle travels on a road, different parts of vehicle vibrate because of road roughness. This paper proposes a method to predict road roughness based on vertical acceleration using neural networks. To this end, first, the suspension system and road roughness are expressed mathematically. Then, the suspension system model will identified using neural networks. The results of this step sho...

In vehicle surveillance systems, one of the appropriate methods for recognition are 3-D models. Several methods have been proposed for this purpose. Feature based methods are most significant and widely used. In this paper, is proposed an algorithm within recognition framework. Proposed algorithm is considered information of image and model edges as feature. A block descriptor has been used ext...