Classification of resources in an e-library using machine learning algorithms

Library is the heart of a university and students spend a large amount of time in library in search of knowledge. The trend of reading resources in printed materials such as books, journals and other research publications is gradually changing. Since it is an uneasy and time-consuming process, students are interested in soft materials such as e-journals, e books and other web based resources. Nowadays, in a library most of the resources in digital form are stored without any classification. They are not categorized or utilized by the users since it does not have any proper way to access or find appropriate material when the users' queries applied. Even though there are a lot of manual ways to access text based materials or resources in a library, they cannot be applied to the digital resources since it needs some kind of text mining and machine learning. This project addresses this issue through a closed domain question answering system for a resource pool in an e-library. As the initial step, the project uses a narrowed down search space by processing the abstracts of the resources. More than 300 abstracts are extracted along with their title and pre-processed. 75% of the data are used as training sets and the remaining are used for testing. Different machine learning techniques such as classification and clustering are applied with this large collection of textual data using Weikato Environment of Knowledge Analysis (WEKA) and their performance metrics and error rates were compared. The most suitable machine learning technique and the mode of testing for the textual data were selected and applied for training models as the solution for the classification problem of the electronic resources

Reconfigurable Computing: innovative technology for scientific community

43 p.Reconfigurable Computing marks a revolutionary and hot topic that bridges the gap between the separate worlds of hardware and software design. The key feature of reconfigurable computing is its groundbreaking ability to perform computations in hardware to increase performance while retaining the flexibility of a software solution. Reconfigurable computers serve as affordable, fast, and accurate tools for developing designs ranging from single chip architectures to multi-chip and embedded systems. Given the architecture and design flexibility, reconfigurable computing has catalyzed the progress in hardware-software code sign technology and a vast number of application areas such as scientific computing, biological computing, artificial intelligence, signal processing, security computing and control oriented design. We give an overview of the hardware architectures of reconfigurable computing machines, and the software that targets these machines, such as compilation tools. Also, we consider the issues involved in run-time reconfigurable systems, which re-use the configurable hardware during program executio

Embedded system: enhancement of performance with new challenges and solutions

Due to the rapid development of electronic technology and requirements of electronic markets, electronic products tend to become smaller, faster, and more popular. Embedded systems have become increasingly widespread in many areas including industrial areas and our daily life. Their extensive use and integration in everyday products marks a significant evolution in information science and technology. A main trend is the proliferation of embedded systems that should work in seamless interaction while respecting real-world constraints. Technology advances and a growing field of applications have been a constant driving factor for embedded systems over the past years. However, the increasing complexity of embedded systems and the emerging trend to interconnections between them lead to new challenges. Intelligent solutions are necessary to solve these challenges and to provide reliable and secure systems to the customer under a strict time and financial budget. In this paper details the overview of the technology trends, reasons of significant change in application implementation philosophy, outlines new challenges, issues and finally presents a methodology to deal with solution