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The performance of forensic speaker verification degrades severely in the presence of high levels of environmental noise and reverberation conditions. Multiple channel speech enhancement algorithms are a possible solution to reduce the effect of environmental noise from the noisy speech signals. Although multiple speech enhancement algorithms such as multi-run independent component analysis (ICA)...
This paper introduces a novel shape memory alloy (SMA) material for the controllability in the shape recovery of traditional SMA for orthopedic devices and rehabilitation techniques. The proposed material is formed by doping nano-ferromagnetic particle into porous NiTi alloy. The finite element analysis of shape memory effect property of the different distribution of nano-ferromagnetic particle is...
Freezing of Gait (FOG) is a highly debilitating and poorly understood symptom of Parkinson's disease (PD), causing severe immobility and decreased quality of life. Turning Freezing (TF) is known as the most common sub-type of FOG, also causing the highest rate of falls in PD patients. During a TF, the feet of PD patients appear to become stuck whilst making a turn. This paper presents an electroencephalography...
Gait initiation Failure (GIF) is the situation in which patients with Parkinson's disease (PD) feel as if their feet get “stuck” to the floor when initiating their first steps. GIF is a subtype of Freezing of Gait (FOG) and often leads to falls and related injuries. Understanding of neurobiological mechanisms underlying GIF has been limited by difficulties in eliciting and objectively characterizing...
This paper presents a classification of driver fatigue with electroencephalography (EEG) channels selection analysis. The system employs independent component analysis (ICA) with scalp map back projection to select the dominant of EEG channels. After channel selection, the features of the selected EEG channels were extracted based on power spectral density (PSD), and then classified using a Bayesian...
A great many people suffer from neurological movement disorders that render typical hardware interface devices ineffective. A need exists for a universal interface device that can be trained to accept a wide range of inputs across varying types and severities of movement disorders. In this regard, this paper details the design, testing and optimization of an accelerometer-based gesture identification...
The purpose of this study was to investigate differences in lower limb muscle activation patterns for females wearing shoes with different heel heights during Sit to Stand Task (STS). Ten female participants with no prior history of neurological disorders participated in this study. Surface electromyography (sEMG) characteristics were recorded for four different heel heights (ranging from 4cm to 10cm)...
In recent years, significant advancements have taken place in human activity recognition using various machine learning approaches. However, feature engineering have dominated conventional methods involving the difficult process of optimal feature selection. This problem has been mitigated by using a novel methodology based on deep learning framework which automatically extracts the useful features...
A novel process for self-assembly of metal-porphyrins on oxide dielectrics is developed and utilized for continuous work function tuning. Simply by changing the central metal atom present at the core of porphyrin helps change the dipole moment at the metal-dielectric interface leading to change in work function. Further the development of vapor phase process makes the process of the self-assembly...
In this paper we discuss the effects of x-ray irradiation on monolayer graphene transistor characteristics. We report monolayer graphene field effect transistors (GFETs) under x-ray irradiation with major shift in dirac point on exposure to x-ray irradiation. The irradiation causes defects in graphene and changes in GFET characteristics that can be utilized towards a radiation sensor. The current...
The printed monopole antenna having dual band is proposed which operates at frequency 2.54 GHz (Bluetooth) and 5.2GHz (WLAN). Bluetooth and WLAN have been widely applied in all new trending laptops and smart phones. These two technologies are well known for its effective cost and high-speed data connection. The antenna comprises of two rectangular patches of different sizes for the required dual-band...
Amazon Simple Storage Service is storage for the Internet designed to make web-scale computing easier for developers. Objects are the fundamental entities stored in Amazon S3. It is a simple key-based object store where each Amazon S3 object has data, a key, and metadata. Object key name identifies the object in a bucket uniquely. Object metadata is a set of name-value pairs that can be set at the...
In this paper, we implement a Convolutional Neural Network especially designed for Natural Language processing. With the help of this CNN, we try to classify sentences for sentiment analysis for which the embeddings used were learned from scratch rather than using pre-trained word2vec vectors. Here we try to vary the different parameters and learn how they effect on the performance of the CNN. From...
Microwave circulator is an important ferrite device which is widely used in wireless transceivers. This paper presents design and simulation of X-Band microstrip circulator. Major application of microstrip junction circulator presented here is as duplexer in RADAR. The circulator designed here is centered at 9.6 GHz with 800 MHz bandwidth. CST Microwave Studio Suite is used as simulation software...
In this paper, we propose a low-complexity architecture design methodology for the Single Channel Independent Component Analysis (SCICA) algorithm targeting pervasive personalized healthcare. SCICA, unlike the conventional ICA, separates the signal from multiple sources using only a single sensor that has tremendous potential for reducing the number of body-worn sensors. However, such applications...
In this paper we propose an on-the-fly reconfigurable hardware-software codesign based reconfigurable solution for real-time protein identification. Reconfigurable string matching is performed in the disciplines of protein identification and biomarkers discovery. With the generation of plethora of sequenced data and number of biomarkers for several diseases, it is becoming necessary to have an accelerated...
Nowadays portable devices with more number of sensors are used for gait assessment and monitoring for elderly and disabled. However, the problem with using multiple sensors is that if they are placed on the same platform or base, there could be cross talk between them, which could change the signal amplitude or add noise to the signal. Hence, this study uses wavelet PCA as a signal processing technique...
In this paper we introduce Shape Memory Alloy (SMA) for designing the tibial part of Total Knee Arthroplasty (TKA) by exploiting the shape-memory and pseudo-elasticity property of the SMA (e.g. NiTi). This would eliminate the drawbacks of the state-of-the art PMMA based knee-spacer including fracture, sustainability, dislocation, tilting, translation and subluxation for tackling the Osteoarthritis...
This paper presents an electroencephalography (EEG) based-classification of between pre- and post-mental load tasks for mental fatigue detection from 65 healthy participants. During the data collection, eye closed and eye open tasks were collected before and after conducting the mental load tasks. For the computational intelligence, the system uses the combination of principal component analysis (PCA)...
The transport properties of back-gated graphene field effect transistors (GFETs) can be tuned via chemical doping. In this study, we report alteration of charge transport properties of GFET via 5-(4-hydroxyphenyl)-10,15,20-tri-(p-tolyl) zinc(II) porphyrin (Zn(II)-TTPOH) and its free base counterpart. We propose that, the porphyrin induces p - type doping in graphene.
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