Achieving Arbitrary Multiplexing Rates for MIMO-OFDM Systems by Mimo-OFDM Systems by Hybrid Cyclic Delay Diversity Abstract?A new hybrid cyclic delay diversity (HCDD) scheme for multiple input multiple output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. Unlike the existing double space time transmit diversity (DSTTD) and stacked cyclic delay diversity (SCDD) schemes that are suitable for…
Achieving Maximum Energy-Efficiency in Multi-Relay OFDMA Cellular Networks: A Fractional Programming Approach Abstract? The joint power and subcarrier allocation problem is solved in the context of maximizing the energy-ef?ciency (EE) of a multi-user, multi-relay orthogonal frequency division multiple access (OFDMA) cellular network, where the objective function is formulated as the ratio of the spectral-ef?ciency (SE)…
Achieving Memory Access Equalization via Round-trip Routing Latency Prediction in 3D Many-core NoCs Abstract? 3D many-core NoCs are emerging architectures for future high-performance single chips due to its integration of many processor cores and memories by stacking multiple layers. In such architecture, because processor cores and memories reside in different locations (center, corner, edge, etc.),…
Achieving Simple, Secure and Efficient Hierarchical Access Control in Cloud Computing Abstract?Achieving Simple, Secure and Efficient Hierarchical Access Control in Cloud Computing. Access control is an indispensable security component of cloud computing, and hierarchical access control is of < Final Year Projects 2016 > interest since in practice one is entitled to different access privileges….
Acoustic features for the identification of coronary artery disease Abstract? Erarlie studies have documented that coronary artery disease < Final Year Projects 2016 > CAD produces weak murmurs, which might be detected through analysis of heart sounds. An electronic stethoscope with a digital signal processing unit could be a low cost and easily applied method…
Active Filter-Based Hybrid On-Chip DC?DC Converter for Point-of-Load Voltage Regulation. Experimental results of an active filter based on-chip hybrid voltage converter are described in this paper. The area of the voltage converter is significantly less than the area of a conventional passive filter based DC-DC voltage converter or a low-dropout (LDO) regulator. Hence, the proposed…
Active Learning for Ranking through Expected Loss Optimization Abstract? Active Learning for Ranking through Expected Loss Optimization. Learning to rank arises in many data mining applications, ranging from web search engine, online advertising to recommendation system. In learning to rank, the performance of a ranking model is strongly affected by the number of labeled examples…
Active Learning of Constraints for Semi-Supervised Clustering Abstract?Active Learning of Constraints for Semi-Supervised Clustering. Semi-supervised clustering aims to improve clustering performance by considering user supervision in the form of pairwise constraints. In this paper, we study the active learning problem of selecting pairwise must-link and cannot-link constraints for semi-supervised clustering. We consider active learning in…
Active Mode Sub-Clock Power Gating Abstract?This paper presents a new technique, called sub-clock power gating, for reducing leakage power in digital circuits. The proposed technique works concurrently with voltage and frequency scaling and power reduction is achieved by power gating within the clock cycle during active mode unlike traditional power gating which is applied during…
Adaptive and Energy Efficient Context Abstract? Adaptive and Energy Efficient Context. This paper presents a novel framework that includes an inhomogeneous (time-variant) Hidden Markov Model (HMM) and learning from data concepts. The framework either recognizes or estimates user contextual inferences called `user states’ within the concept of Human Activity Recognition (HAR) for future context-aware <...
Adaptive and Random Partitioning Software Testing Abstract?Random testing (RT) and subdomain testing are two major software testing strategies. Their simplicity makes them likely the most efficient testing strategies with respect to the time required for test case selection. However, the disadvantage of RT is its defect detection effectiveness. Adaptive testing (AT) is a feedback-based software…
Adaptive Image Denoising by Targeted Databases Abstract? Adaptive Image Denoising by Targeted Databases. A data-dependent denoising procedure to restore noisy images. Different from existing denoising algorithms which search for patches from either the noisy image or a generic database, the new algorithm ?nds patches from a database that contains relevant patches. We formulate the denoising…
