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Novel Software Defined Radio Architecture With Graphics Processor Acceleration


Wireless has become one of the most pervasive core technologies in the modern world. Demand for faster data rates, improved spectrum efficiency, higher system access capacity, seamless protocol integration, improved security and robustness Continue reading

Vulnerability Analysis and Security Framework for Zigbee Communication in IoT


Securing IoT (Internet of Things) systems in general, regardless of the communication technology used, has been the concern of many researchers and private companies. As for ZigBee security concerns, much research and many experiments have Continue reading

A Secure, Reliable and Performance-enhancing Storage Architecture Integrating Local and Cloudbased Storage


The constant evolution of new varieties of computing systems – cloud computing, mobile devices, and Internet of Things, to name a few-have necessitated a growing need for highly reliable, available, secure, and high-performing storage systems. Continue reading

Emulating 3G Network Characteristics on WiFi Networks

Mobile applications should work regardless of which type of wireless interface is used, and should be able to conceal unstable connections from the user to improve user experience. Therefore, network testing is important when Continue reading

GPU-Accelerated Visualization of Scattered Point Data

As data sets continue to grow in size, visualization has become a vitally important tool for extracting meaningful knowledge. Scattered point data, which are unordered sets of point coordinates with Continue reading

Mapping Bug Reports to Relevant Files: A Ranking Model, a Fine-Grained Benchmark, and Feature Evaluation

When a new bug report is received, developers usually need to reproduce the bug and perform code reviews to find the cause, a process that can be tedious and time consuming. A tool for ranking all the source files with respect to Continue reading

Large Iterative Multitier Ensemble Classifiers for Security of Big Data

This paper introduces and investigates large iterative multitier ensemble (LIME) classifiers specifically tailored for big data. These classifiers are very large, but are quite easy to generate and use. They can be so large that it makes sense to Continue reading