Intelligent automation of design and manufacturing in machine tools using an open architecture motion controller

Several issues including accurate programming, proper tool selection, machining feeds and speeds selection, thermal error compensation, vibration monitoring, etc. contribute significantly to the performance and productivity of a machine tool in an industrial scenario. Only when all these are properly set and controlled it is possible to ensure consistent accuracy and productivity of the machine tool. Significant developments have been made in enhancing the capabilities of a commercial computer numerically controlled (CNC) machine to address this challenge. In this paper, an attempt is made to present the concept of Rapid-Computer Aided Manufacturing (Rapid-CAM) using intelligent automation of a machine tool in order to address the above scenario through a real-time open architecture motion controller as well as to illustrate some of the features that are being implemented in a 3-axis vertical machining centre (VMC).     

Secured Self Organizing Network Architecture in Wireless Personal Networks

Secured self organizing network is an approach to computer network architecture that seeks to address the technical issues in heterogeneous networks that may lack continuous network connectivity. In delay tolerant network packets storage exists when there is any link breakage between the nodes in the network so delay is tolerable in this type of network during the data transmission. But this delay is not tolerable in wireless network for voice packet transmission. This evokes the use of wireless networks. In a network, different wireless network topologies are interoperating with each other so the communication across the network is called overlay network. This network is vulnerable to attacks due to mobile behaviour of nodes and frequent changes in topologies of the network. The attacks are wormhole attack and blackhole attack is analysed in this paper. They are critical threats to normal operation in wireless networks which results in the degradation of the network performance. The proposed recovery algorithm for wormhole and the isolation of blackhole will increase the performance of the network. The performance metrics such as throughput, packet delivery ratio, end–end delay and routing overhead of the network are evaluated.