32 research outputs found

    ELECTROCHEMICAL PROPERTIES OF MUIJTIWALL CARBON NANOTUBES

    Get PDF
    Article先進繊維技術科学に関する研究報告 平成11年度成果報告 6: 17-19(2000)research repor

    Intelligent Wireless Sensor Nodes for Human Footstep Sound Classification for Security Application

    Full text link
    Sensor nodes present in a wireless sensor network (WSN) for security surveillance applications should preferably be small, energy-efficient and inexpensive with on-sensor computational abilities. An appropriate data processing scheme in the sensor node can help in reducing the power dissipation of the transceiver through compression of information to be communicated. In this paper, authors have attempted a simulation-based study of human footstep sound classification in natural surroundings using simple time-domain features. We used a spiking neural network (SNN), a computationally low weight classifier, derived from an artificial neural network (ANN), for classification. A classification accuracy greater than 85% is achieved using an SNN, degradation of ~5% as compared to ANN. The SNN scheme, along with the required feature extraction scheme, can be amenable to low power sub-threshold analog implementation. Results show that all analog implementation of the proposed SNN scheme can achieve significant power savings over the digital implementation of the same computing scheme and also over other conventional digital architectures using frequency-domain feature extraction and ANN-based classification.Comment: 12 pages, Journa

    カーボンナノチューブによるエネルギー貯蔵・変換

    Get PDF
    Article先進繊維技術科学に関する研究成果報告書 8: 4-4(2002)research repor

    Genetic Algorithm and Simulated Annealing based Approaches to Categorical Data Clustering

    No full text
    Abstract—Recently, categorical data clustering has been gaining significant attention from researchers, because most of the real life data sets are categorical in nature. In contrast to numerical domain, no natural ordering can be found among the elements of a categorical domain. Hence no inherent distance measure, like the Euclidean distance, would work to compute the distance between two categorical objects. In this article, genetic algorithm and simulated annealing based categorical data clustering algorithms have been proposed. The performances of the proposed algorithms have been compared with that of different well known categorical data clustering algorithms and demonstrated for a variety of artificial and real life categorical data sets. Keywords: Genetic Algorith

    Controlled Growth of Polyaniline Fractals on HOPG through Potentiodynamic Electropolymerization

    No full text
    Polyaniline (PANI) in fractal dimension has been electrodeposited reproducibly on highly oriented pyrolytic graphite (HOPG) from 0.2 M aniline in 1 M aqueous HCl solution by potentiodynamic sweeping in the range of −0.2 to 0.76 V vs Ag/AgCl at room temperature. Fractal growth of PANI dendrimers is affected by diffusion limited polymerization (DLP) at a sweep rate of 15 mV s<sup>–1</sup> for 43 min. This type of PANI dendrimer is prepared for the first time on such large area HOPG substrate by electrochemical technique using rather simple cell setup. The fractal dimension has been determined by chronoamperometry (CA) and box counting technique and is found to vary from 1.4 to 1.9 with the duration of electropolymerization. The sweep rate, terminal oxidation potential, and the diverse surface anisotropy of the HOPG surface are found to be crucial factors in controlling the growth of such PANI fractals

    Electrocatalysts for Fuel Cells and Hydrogen Evolution - Theory to Design

    No full text
    The book starts with a theoretical understanding of electrocatalysis in the framework of density functional theory followed by a vivid review of oxygen reduction reactions. A special emphasis has been placed on electrocatalysts for a proton-exchange membrane-based fuel cell where graphene with noble metal dispersion plays a significant role in electron transfer at thermodynamically favourable conditions. The latter part of the book deals with two 2D materials with high economic viability and process ability and MoS2 and WS2 for their prospects in water-splitting from renewable energy
    corecore