This project will analyze and test the accuracy of dynamic typing pattern authentication methods. The program will generate a dynamic set of text that the user will be prompted to type, and then it will feed the user’s typing characteristics through neural network structures. Experimentation will be done to determine the most accurate neural network structures and data collection conditions. Th...

Since many real world networks are evolving over time, such as social and user-item networks, there increasing research efforts on dynamic network embedding in recent years. They learn node representations from a sequence of graphs but not only the latest network, for preserving both structural temporal information networks. Due to lack comprehensive investigation them, we give survey this pape...

there are many evident that people are more interested in walking in attractive urban spaces and inappropriate physical and psychological condition can reduce their presence in a remarkable amount. the current research investigates the influence of physical design and psychological elements and their criteria on selective physical activity and specifically walking in urban public spaces. howeve...

Abstract: A Data Grid connects a collection of geographically distributed computational and storage resources that enables users to share data and other resources. Data replication, a technique much discussed by Data Grid researchers in recent years creates multiple copies of file and places them in various locations to shorten file access times. In this paper, a dynamic data replication strate...

The current method for reconstructing gene regulatory networks faces a dilemma concerning the study of bio-medical problems. On the one hand, static approaches assume that genes are expressed in a steady state and thus cannot exploit and describe the dynamic patterns of an evolving process. On the other hand, approaches that can describe the dynamical behaviours require time-course data, which ...

Although feature-based process planning plays a vital role in automating and integrating design and manufacturing for efficient production, its off-line properties prohibit the shop floor controller from rapidly coping with dynamic shop floor status such as unexpected production errors and rush orders. The objective of the paper is to address a neural network-based adaptive and dynamic approach...