Design of Non Invasive Wireless Eeg Recording System

Bio medical signal monitoring systems have drawn great attention now a day by the results yielded from weighty advances in electronics and communications and field of information technologies. As an example EEG (electroencephalogram) is the most popular interface for measuring bio-potential in brain computer interface (BCI) systems which is a prominent topic organizing a direct communication link between human brain and a computer. We know that most BCI (brain computer interface) systems are bulky and hard wired EEG experiments which are inconvenient and troublesome for patients to follow their regular routine tasks. So, to overcome this problem we are going to develop a single channel wireless EEG (electroencephalogram) acquisition and recording system which will be more comfortable and convenient to the patients. The system consists of an EEG signal acquisition and processing units along with the wireless transmission and reception units. The former (analogue processing unit) includes electrodes, pre-amplifiers, filters and gain amplifiers while the later (digital processing unit) includes ADC (analogue to digital converter) and micro-controller which are used to convert the analogue EEG signals into digital signals and fulfill the digital filtering. The transmission and reception units include a Bluetooth communication module which sends the digital signals to the PC (personal computer) to be displayed over the GUI (graphical user interface). Thus the patient's EEG signal could be observed and stored without any bulky wired environment due to which the distortion caused by the long distance transmission could be reduced significantly. The key performances are: a) Long range communications (50 meters) b) ADC sampling rate is high (400 samples/sec) c) Low power consumption. d) Portable and e) Battery operated. Medical research applications based on wireless EEG acquisition system can be explored such as brain controlled games and diagnosis of diseases

Vibration Analysis of Functionally Graded Carbon Nanotube Reinforced Beam Structures

This work deals with the study of vibration behavior of the Functionally Graded Timoshenko Beam that has been reinforced with Carbon Nanotubes (CNTs), which is subjected to thermal and mechanical loads. The constituent materials of the functionally graded beam are alumina as the matrix material and single walled CNTs as the reinforcement material. The volumetric fraction varies according to power law along the thickness. The temperature dependent (TD) and temperature independent (TID) material properties of the beam are determined by employing Mori-Tanaka method and extended rule of mixture along the thickness direction. Timoshenko beam theory is used to study the dynamic behavior of the beam. The finite element method is employed to discretize the model and Hamilton’s principal is used to derive the equation of motion . Vibration analysis has been carried out to study the response of Temperature dependent and independent material properties on the dynamic behavior of the beam. The results show that CNT volume fraction and Temperature dependent material properties has substantial effect on the vibration characteristic of the beam

Mechanical behavior and microstructural evolution during friction stir welding of similar and dissimilar Al5083-H111 and Al6063-T4 alloys

by Nitish KumarM.Tech

MapReduce Based Feature Selection and Classification of Microarray Dataset

Gene expression profiling has emerged as an efficient technique for classification, diagnosis and treatment of various diseases. The data retrieved from microarray contains the gene expression values of the genes present in a tissue. The size of such data varies from some kilobytes to thousand of Gigabytes. Therefore, the analysis of microarray dataset in a very short period of time is essential. The major setback of microarray dataset is the presence of a large number of irrelevant information, which hinders the amount of useful information present in the dataset and results in a large number of computations. Therefore, selection of relevant genes is an important step in microarray data analysis. After retrieving the required number of features, classification of the dataset is done. In this project, various methods based on MapReduce are proposed to select the relevant number of feature. After feature selection, Naïve Bayes Classifier and N-Nearest Neighbor is used to classify the datasets. These algorithms are implemented on Hadoop framework. A comparative analysis is done on these methodologies using microarray data of different size

Resource Allocation in Distributed Service Networks

The past few years have witnessed significant growth in the use of distributed network analytics involving agile code, data and computational resources. In many such networked systems, for example, Internet of Things (IoT), a large number of smart devices, sensors, processing and storage resources are widely distributed in a geographic region. These devices and resources distributed over a physical space are collectively called a distributed service network. Efficient resource allocation in such high performance service networks remains one of the most critical problems. In this thesis, we model and optimize the allocation of resources in a distributed service network. This thesis contributes to two different types of service networks: caching, and spatial networks; and develops new techniques that optimize the overall performance of these services. First, we propose a new method to compute an upper bound on hit probability for all non-anticipative caching policies in a distributed caching system. We find our bound to be tighter than state-of-the-art upper bounds for a variety of content request arrival processes. We then develop a utility based framework for content placement in a cache network for efficient and fair allocation of caching resources. We develop provably optimal distributed algorithms that operate at each network cache to maximize the overall network utility. Next, we develop and evaluate assignment policies that allocate resources to users with a goal to minimize the expected distance traveled by a user request, where both resources and users are located on a line. Lastly, we design and evaluate resource proximity aware user-request allocation policies with a goal to reduce the implementation cost associated with moving a request/job to/from its allocated resource while balancing the number of requests allocated to a resource. Depending on the topology, our proposed policies achieve a 8% - 99% decrease in implementation cost as compared to the state-of-the-art

Comparison of Microstructures and Properties of Ae42 Magnesium Alloy and Its Composites

Magnesium as an energy proficient material has the potential to replace steel, aluminum and some plastic-based materials. There is a great interest in using magnesium (Mg) alloys in the automotive industry due to greater environmental concern. Fuel resources are limited so it should be conserved and the harmful emissions in the environment should be reduced. Magnesium with a density of 1.74 gm/cm3 is a light metal and is suitable for automotive purpose. In this investigation the microstructure and properties of AE42 magnesium alloy and its composites reinforced with saffil short (essentially d-Al2O3) fibers and Sic particles has been studied. Both optical and SEM characterization study is carried out. Hardness values reveal that the composites are more promising than the alloy. Wear study is carried out on Ball on Plate Wear Tester at a normal load of 5 N and 10 N at rotational speed of 25 rpm. Though wear rate increases with the normal load, composites show more resistance to indentation than the AE42 alloy. Large curly chips are observed in case of magnesium alloy. Immersion test reveals that composites are more prone to corrosion due to galvanic cell creation within itself because of the presence of fibers and Sic particles

UMA (Unlicensed Mobile Access): A New Approach towards Mobility

The purpose of this document is to describe the fixed-mobile convergence solution using Unlicensed Mobile Access (UMA) technology. This document describes elements for UMA access and convergence solution and the evolution towards the IP based network. UMA technology offers an alternative to the cellular radio access network (RAN), which uses the Global System for Mobile Communications (GSM) and General Packet Radio Service/Enhanced Data rates for Global Evolution (GPRS/EDGE) core circuit, data, and IMS services through IP-based broadband connections. To deliver a seamless user experience throughout these various access networks, the UMA specifications define a new network element, the UMA Network Controller (UNC), together with associated protocols for the secure transport of GSM and GPRS/EDGE, signalling, and bearer traffic over I

Nanotechnology: A focus on Treatment of Tuberculosis

Despite the fact that we live in an era of advanced technology and innovation, infectious diseases, like Tuberculosis (TB), continue to be one of the greatest health challenges worldwide. The main drawbacks of conventional TB treatment are the development of multiple drug resistance, resulting in high dose requirements and subsequent intolerable toxicity. Therefore there is a need of a new system have been receiving special attention with the aim of minimizing the side effects of drug therapy, such as poor bioavailability and the selectivity of drugs. Nanoparticle-based drug delivery systems have considerable potential for treatment of TB. The important technological advantages of nanoparticles used as drug carriers are high stability, high carrier capacity, feasibility of incorporation of both hydrophilic and hydrophobic substances, and feasibility of variable routes of administration, including oral application and inhalation. Nanoparticles can also be designed to allow controlled (sustained) drug release from the matrix. These properties of nanoparticles enable improvement of drug bioavailability and reduction of the dosing frequency, and may resolve the problem of nonadherence to prescribed therapy, which is one of the major obstacles in the control of TB epidemics. In this review, we discuss the challenges with the current treatment of the disease and shed light on the remarkable potential of nanotechnology to provide more effective treatment and prevention for TB.Keywords: Tuberculosis; Nanotechnology; liposome; Polymeric nanoparticle; non-polymeric nanoparticle