Effective extraction of visual event-related pattern by combining template matching with ensemble empirical mode decomposition Abstract? major challenge to extract event based weak or low signal in the presence of high background noise. Conventionally, this is achieved by trigger based averaging, which suppresses un-correlated background noise and unmasks the event related pattern. In some of…
Efficient Feature Selection and Classification for Vehicle Detection Abstract? The focus of this paper is on the problem of Haar-like feature selection and classi?cation for vehicle detection. Haar-like features are particularly attractive for vehicle detection because they form a compact representation, encode edge and structural information, capture information from multiple scales, and especially can be…
Efficient Register Renaming and Recovery forHigh-Performance Processors Abstract-Efficient Register Renaming and Recovery forHigh-Performance Processors. Modern superscalar processors implement register renaming using either random access memory (RAM) or content-addressable memories (CAM) tables. The design of these structures should address both access time and misprediction recovery penalty. Although direct-mapped RAMs provide faster access times, CAMs are more…
Electroencephalography (EEG) signal processing for epilepsy and autism spectrum disorder diagnosis Abstract-Quantification of abnormality in brain signals may reveal brain conditions and pathologies. In this study, we investigate different electroencephalography (EEG) feature extraction and classification techniques to assist in the diagnosis of both epilepsy and autism spectrum disorder (ASD). First, the EEG signal is pre-processed…
Enabling Cloud Storage Auditing With Key-Exposure Resistance Abstract? Cloud storage auditing is viewed as an important service to verify the integrity of the data in public cloud. Current auditing protocols are all based on the assumption that the client?s secret key for auditing is absolutely secure. However, such assumption may not always be held, due…
Epileptic seizure detection using DWT based fuzzy approximate entropy and support vector machine AbstractEpilepsy is a common neurological condition which affects the central nerve system that causes people to have a seizure and can be assessed by electroencephalogram (EEG). A wavelet based fuzzy approximate entropy (fApEn) method is presented for the classification of electroencephalogram (EEG)…
Epileptic Seizure Prediction Based on Multivariate Statistical Process Control of Heart Rate Variability Features Abstract?The present study proposes a new epileptic seizure prediction method through integrating heart rate variability (HRV) analysis and an anomaly monitoring technique. < final year projects > [numbers_sections number=”1″ title=”Including =Packages=” last=”no” ] Complete Source Code Complete Documentation Complete Presentation Slides…
FULL BRIDGE PHASE SHIFTED ON-CHIP DC ? DC CONVERTER FOR LOAD VOLTAGE REGULATION Abstract– FULL BRIDGE PHASE SHIFTED ON-CHIP DC ? DC CONVERTER FOR LOAD VOLTAGE REGULATION. A systematic method for deriving soft-switching three-port converters (TPCs), which can interface multiple energy, is proposed in this paper. Novel full-bridge (FB) TPCs featuring single-stage power conversion, reduced…
Hardware Implementation of a DigitalWatermarking System for Video Authentication Abstract-Hardware Implementation of a DigitalWatermarking System for Video Authentication. This paper presents a hardware implementation of a digital watermarking system that can insert invisible, semifragile watermark information into compressed video streams in real time. The watermark embedding is processed in the discrete cosine transform domain. To…
High Performance Personalized Heartbeat Classification Model for Long-Term ECG Signal Abstract? Long-term ECG has become one of the important diagnostic assist methods in clinical cardiovascular domain. Long-term ECG is primarily used for the detection of various cardiovascular diseases that are caused by various cardiac arrhythmia such as myocardial infarction, cardiomyopathy, and myocarditis. In the past…
Identification of Stress Arthymia from ECG Singal Abstract? Identification of Stress Arthymia from ECG Singal. The detection of cardiac diseases has much importance in saving peoples life. For the identification of the defects using ECG signals feature values were extracted from the images. < Final Year Projects 2016 > ECG signals were the basic for…
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Dynamic Cluster Head Selection Method for Wireless Sensor Network 
Duplicate Reduction in Graph Mining: Approaches, Analysis, and Evaluation 
Self-Deployment of Mobile Sensors to Achieve Target Coverage in the Presence of Obstacles 
Crowdsourcing based Description of Urban Emergency Events using Social Media Big Data