7 research outputs found

    Direction Finding for Transient Acoustic Source Based on Biased TDOA Measurement

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    Approximate Closed-Form TDOA-Based Estimator for Acoustic Direction Finding via Constrained Optimization

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    Localization in Wireless Sensor Networks with Known Coordinate Database

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    <p/> <p>Geographic location of nodes is very useful for a sensor network. A novel and practical Radio Frequency (RF)-based localization algorithm called Kcdlocation has been presented for some specific sensor network topologies, such as the grid and linear types. The Kcdlocation algorithm is adapted to those wireless sensor networks deployed with known coordinate database. It examines the ordered sequence of neighboring unknown nodes relative to some anchor nodes so that they are ranked to compute the location of unknown nodes by wireless localization measurements. After the task of distinguishing neighboring unknown nodes is completed through the ranging technology, the correct position for each sensor node would be identified. The localization scalability and fault tolerant performance of this algorithm have been evaluated from the perspective of practicability. Its performances for the real circumstance are verified through different experiments with several RF channels and deployment parameters. The node localization accuracy of Kcdlocation in a 5 * 4 grid network reaches 100% in a flat open square.</p

    Biosorption Mechanism of Aqueous Pb2+, Cd2+, and Ni2+ Ions on Extracellular Polymeric Substances (EPS)

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    Heavy metal pollution has been a focus with increasing attention, especially Pb2+, Cd2+, and Ni2+ in an aqueous environment. The adsorption capacity and mechanism of extracellular polymeric substances (EPS) from Agrobacterium tumefaciens F2 for three heavy metals were investigated in this study. The adsorption efficiency of 94.67%, 94.41%, and 77.95% were achieved for Pb2+, Cd2+, and Ni2+ adsorption on EPS, respectively. The experimental data of adsorption could be well fitted by Langmuir, Freundlich, Dubinin–Radushkevich isotherm models, and pseudo-second-order kinetic model. Model parameters analysis demonstrated the great adsorption efficiency of EPS, especially for Pb2+, and chemisorption was the rate-limiting step during the adsorption process. The functional groups of C=O of carboxyl and C-O-C from sugar derivatives in EPS played the major role in the adsorption process judged by FTIR. In addition, 3D-EEM spectra indicated that tyrosine also assisted EPS adsorption for three heavy metals. But EPS from strain F2 used the almost identical adsorption mechanism for three kinds of divalent ions of heavy metals, so the adsorption efficiency difference of Pb2+, Cd2+, and Ni2+ on EPS could be correlated to the inherent characteristics of each heavy metal. This study gave the evidence that EPS has a great application potential as a bioadsorbent in the treatment of heavy metals pollution
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