Digital Libraries are evolving rapidly with the usage of Internet and WWW technologies. Since the digital libraries are running on the Internet and the users are from various psychological, educational and social backgrounds, the usage of digital libraries is varying from user to user which entail the need of best user interface. In order to design usable and useful interactive systems, designers need to ensure that good design features are incorporated into the systems, taking into consideration end-users' needs, experience and cultural backgrounds [1]. Hence, this paper presents the users' study in various aspects and identifies various challenges for designing the user interface system for university digital libraries for its effective implementation.

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Data and Information or Knowledge has a significant role on human activities. Data mining is the knowledge discovery process by analyzing the large volumes of data from various perspectives and summarizing it into useful information. Due to the importance of extracting knowledge/information from the large data repositories, data mining has become an essential component in various fields of human life. Advancements in Statistics, Machine Learning, Artificial Intelligence, Pattern Recognition and Computation capabilities have evolved the present day's data mining applications and these applications have enriched the various fields of human life including business, education, medical, scientific etc. Hence, this paper discusses the various improvements in the field of data mining from past to the present and explores the future trends.

Digital libraries are huge and complex information systems. Digital library users are from various backgrounds with diversified information requirements. Digital library users are fed up with the information overload problem due its unsophisticated search features. Digital libraries can be effectively implemented by addressing the information overload problem. Hence, this paper presents newly designed personalized information retrieval services architecture and its implementation details to enhance the digital library users' search experience.

The survivability of the network is closely related to the connectivity of the network. For many network applications such as a sensor network/ad hoc network for battlefield monitoring or wild fire tracking etc., survivability is one of most important requirements, and therefore a number of related problems are proposed. In this paper we study the survivability with respect to multicast route failure tolerance in K-connected MANET. We analyze the key issues namely connectivity, route failure tolerance and energy of the network. These issues can optimize the design of the routing protocol by means of cross layer interaction across the layers of the network. This paper analyzes the K-connected MANET for various parameters namely connectivity, no. of links, no. of spanning trees, no. of EDMSTs using graph theory metric, connectivity index.