An FPGA Chip Identification Generator UsingConfigurable Ring Oscillators Abstract-An FPGA Chip Identification Generator UsingConfigurable Ring Oscillators. Physically unclonable functions (PUF) are commonly used in applications such as hardware security and intellectual property protection. Various PUF implementation techniques have been proposed to translate chip-specific variations into a unique binary string. It is difficult to maintain repeatability…
Antenna Selection for Reliable MIMO-OFDM Interference Alignment Systems: Measurement Based Evaluation Abstract? Interference alignment (IA) is a promising trans-mission technology enabling essentially the maximum achievable degrees of freedom (DoF) in K-user multiple-input multiple-output (MIMO) interference channels. The ideal DoF of IA systems have been obtained using independent MIMO channels, which is usually hardly observed in…
Area-Delay-Power Efficient Fixed-Point LMSAdaptive Filter With Low Adaptation-Delay Abstract-Area-Delay-Power Efficient Fixed-Point LMSAdaptive Filter With Low Adaptation-Delay. In this paper, we present an efficient architecture for the implementation of a delayed least mean square adaptive filter. For achieving lower adaptation-delay and area-delay-power efficient implementation, we use a novel partial product generator and propose a strategy for…
ASIC and FPGA Implementation of the Gaussian Mixture Model Algorithm for Real-Time Segmentation of High Definition video Abstract-ASIC and FPGA Implementation of the Gaussian Mixture Model Algorithm for Real-Time Segmentation of High Definition video. Background identification is a common feature in many video processing systems. This paper proposes two hardware implementations of the OpenCV version…
Automobile Spare Shop(Android App) Abstract-The electroencephalogram (EEG) signals are commonly used for diagnosis of epilepsy. In this paper, we present a new methodology for EEG based automated diagnosis of epilepsy. Our method involves detection of key-points at multiple scales in EEG signals using a pyramid of difference of Gaussian (DoG) filtered signals. Local binary patterns…
Brain Dynamics in Predicting Driving Fatigue Using a Recurrent Self-Evolving Fuzzy Neural Network Abstract? A generalized prediction system called a recurrent self-evolving fuzzy neural network (RSEFNN) that employs an on-line gradient descent learning rule to address the electroencephalography (EEG) regression problem in brain dynamics for driving fatigue. < final year projects > [numbers_sections number=”1″ title=”Including…
Channel Estimation/Equalization with Adaptive Modulation and Coding over Multipath Faded Channels for WiMAX Abstract? Channel Estimation/Equalization with Adaptive Modulation and Coding over Multipath Faded Channels for WiMAX. Different order modulations combined with different coding schemes, allow sending more bits per symbol, thus achieving higher throughputs and better spectral efficiencies. However, it must also be noted…
Cooperating Virtual Memory and Write Buffer Management for Flash-Based Storage Systems Abstract-Cooperating Virtual Memory and Write Buffer Management for Flash-Based Storage Systems. Flash memory is becoming the preferred choice of secondary storage in mobile devices and embedded systems. The performance of Flash memory is dictated by asymmetric speeds of read and write, limited number of…
CURRENT-MODE BOOST CONVERTER BY ADAPTIVE FILTERING Abstract-CURRENT-MODE BOOST CONVERTER BY ADAPTIVE FILTERING. This paper presents a mixed-signal power-factor-correction (PFC) control IC for the single-phase critical-conduction-mode (CRM) boost AC/DC converters. The peak current mode control is applied and analyzed by using the analog circuit. The voltage control loop is implemented in digital approach. This paper analyzes…
Diagnosis of Alzheimer Disease using EEG Signals Abstract?Abstract Alzheimer Disease is the Neuro-degenerative disease, which consists of the common form of dementia. It is the most expensive disease in the modern society & characterized by cognitive, intellectual as well as behavioral disturbance. Due to this, the early diagnosis of the disease is essential as it…
Driver Fatigue Classification With Independent Component by Entropy Rate Bound Minimization Analysis in an EEG-Based System Abstract-In the first place, single processing project presents a two-class electroencephal-ography-based classification for classifying of driver fatigue (fatigue state versus alert state) from 43 healthy participants. in the same way, the system uses independent component by entropy rate bound…
Effective and Efficient Approach for PowerReduction by Using Multi-Bit Flip-Flops Abstract-Effective and Efficient Approach for PowerReduction by Using Multi-Bit Flip-Flops. Power has become a burning issue in modern VLSI design. In modern integrated circuits, the power consumed by clocking gradually takes a dominant part. Given a design, we can reduce its power consumption by replacing…
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