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 Optimal Efficiency in Energy Transfer to a CMOS Fully Integrated Wireless Power Receiver Abstract? The design and measurement of an inductive link for transferring energy to a fully integrated wireless power receiver. The power receiver design was focused on optimizing each factor that contributes to the link efficiency while its size was constrained to…
Achieving Secure and Efficient Dynamic Searchable Symmetric Encryption over Medical Cloud Data Abstract-In medical cloud computing, a patient can remotely outsource her medical data to the cloud server. In this case, only authorized doctors are allowed to access the data since the medical data is highly sensitive. Encrypting the data before outsourcing is a commonly…
Achieving Secure and Efficient Dynamic Searchable Symmetric Encryption over Medical Cloud Data Abstract-In medical cloud computing, a patient can remotely outsource her medical data to the cloud server. In this case, only authorized doctors are allowed to access the data since the medical data is highly sensitive. Encrypting the data before outsourcing is a commonly…
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….
Achieving Ultra Reliable Communication in 5G Networks: A Dependability Perspective Availability Analysis in the Space Domain Abstract-As part of the 5G communication paradigm, ultra reliable communication (URC) is envisaged as an important technology pillar for providing anywhere and anytime services to end users. While most existing studies on reliable communication do not investigate this problem…
ACID: association correction for imbalanced data in GWAS Abstract-Genome-wide association study (GWAS) has been widely witnessed as a powerful tool for revealing suspicious loci from various diseases. However, real world GWAS tasks always suffer from the data imbalance problem of sufficient control samples and limited case samples. This imbalance issue can cause serious biases to…
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…
Action Recognition in Still Images With Minimum Annotation Efforts Abstract? The problem of still image-based human action recognition, which essentially involves making prediction by analyzing human poses and their interaction with objects in the scene. Besides image-level action labels (e.g., riding, phoning), during both training and testing stages, existing works usually require additional input of…
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…
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Crowdsourcing based Description of Urban Emergency Events using Social Media Big Data 
A Key-Policy Attribute-Based Temporary Keyword Search Scheme for Secure Cloud Storage 
Integer Forcing-and-Forward Transceiver Design for MIMO Multipair Two-Way Relaying