The transfer of realistic facial animations between two 3D models is limited and/or too cumbersome for general use. In this paper, we target transfer of facial expression animation and facial animation sequences within the 3D software modelling tool Autodesk Maya to eliminate some of the issues that animators come across while creating animations, along with making their process much faster and efficient. While current animation transferring processes in Maya work well, the downfall of these methods is that they only work properly if the source and target models have same vertex count, vertex order, and topology; in other words, the model has to be the same, and there is a lot of manual work required beforehand. We propose a system that eliminates these issues in order to achieve smooth and realistic animations while maintaining a 3D modelagnostic focus; the system features facial animation transfer between different models, i.e. different topology, vertex ordering and vertex count. The system is purely vertexbased; this helps to speed up the process since no rigging is necessary. Furthermore, the system reduces the amount of manual effort in order to accomplish a smooth and realistic facial animation.iii

A sensor network is a network with large number of sensors nodes. Each sensor node is defined with some energy parameters. The energy of every node is limited and irreplaceable. With each communication over the network some amount of energy is lost. One of network architecture defined in sensor network is the multiple gateway based architecture. According to this architecture, complete network is divided in smaller area segments and each segment is controlled by a gateway node. Sensor nodes communicate with the base station via the gateway. Each node can be defined in sensing range of one or more gateway nodes. One of the challenging tasks in such network is the effective deployment of nodes over the network. These sensor nodes are defined with energy specification. While defining these network types, the protocol specification is required. This protocol is actually responsible for the communication over the senor network. In this paper, We propose an algorithm for an improved load balanced gateway architecture. A restriction is imposed on a particular type of nodes present in the cluster. An energy effective load balancing approach is suggested to generate the gateway network and to control the communication over the network. The selection of gateway is done using the energy and probability parameters.