Systems for managing and monitoring fleets are of great use nowadays due to their ability of controlling and visualizing in maps the routes assigned to their fleets with GPS (Global Positioning Systems) devices. These systems provide lot of usability to their environments because they improve the way that the workers utilize vehicles in fleets. They have helped the enterprises to detect delayed deliveries, routes detours, urgent maintenance reports and oil saving. In Cuba the system used by majority of enterprises was one that does not make route monitoring during vehicles trip making almost impossible to control if there was any inconvenience during the trajectory of the vehicle, causing the loss of several minutes and even hours to help the broken vehicle to get back in service again. In this paper a proposal to fix this is made by using coordinates taken from a GPS device and stored in KML or GPRMC format files. The system besides will allow supervisors the creation of routes and areas assigned to vehicles in fleets, in which the behavior of the vehicle will be reflected lunching alarms when the vehicle incurs in detouring problem and even in an over - speed problem. Also all the irregularities detected during a movement of vehicle will be registered in a database for supervisor revising purpouses.

Active networks introduce a new concept to network architecture. Network nodes are capable of executing codes carried by packets which change their state. Active networks provide a flexible networking environment by their programming capabilities. Although active networks have benefitted networking largely, at the same time they pose many security threats due to their complexity. Since active networks have become famous because of programmability but it's increasing flexible nature opens doors to new security risks. Currently research is being conducted to find out the benefits of active networks over the traditional networks and also to cope up with the security risks that active networks pose. The paper focuses on the benefits of active network over the passive network. The objectives and applications of active networks are briefly discussed. The methodologies of deploying active networks are also mentioned. In the latter part the security issues raised by active networks are presented and methods to cope up with them are also briefly discussed.

The vehicle detection is the backbone of the urban surveillance systems, which is used to obtain and identify the various statistics of the urban vehicular mobility. Also the urban surveillance systems are used for the vehicle tracking or vehicular object classification. The proposed model has been designed for the purpose of the urban surveillance and vehicular modelling of the traffic. The proposed model has been designed for the vehicle position identification as well as the vehicle type classification using the deep neural network. The proposed model has been tested with a standard dataset image for the result evaluation. The experimental results has been shown the effectiveness of the proposed model, where the proposed model has been found successful in detection and classification of all of the vehicles in the given image.