Browsing Department of Electrical Engineering by Author "Schizas, Ioannis D."

Now showing items 1-6 of 6

    • DISTRIBUTED ALGORITHMS FOR ELECTRIC VEHICLE CHARGING 

      Malhotra, Akshay (2015-12-08)
      Coordinated charging of plug-in electric vehicles (PEVs) can effectively mitigate the negative effects imposed on the power distribution grid by uncoordinated charging. Simultaneously, coordinated charging algorithms can ...

    • Distributed Data Dimensionality Reduction And Denoising 

      Aduroja, Abiodun T. (Electrical Engineering, 2014-03-12)
      With the recent upsurge in the amount of data transmission and use, giving rise to the era of big data, research has put a lot of emphasis on designing efficient methods to extract useful information by reducing the size ...

    • Feature Selection Using an Extended Piecewise Linear Orthonormal Floating Search 

      Rawat, Rohit; 0000-0002-2039-2713 (2016-12-20)
      The piecewise linear orthonormal floating search (PLOFS) is a wrapper method for feature selection that uses a piecewise linear network (PLN) to evaluate candidate subsets. PLOFS has difficulty working on high dimensional ...

    • MULTI-OBJECT DETECTION AND TRACKING IN SENSOR NETWORKS AND VIDEO SEQUENCES 

      Ren, Guohua (2017-05-05)
      Firstly the problem of tracking multiple objects using observations acquired at spatially scattered sensors is considered here. Sensors are measuring a sort of signal attenuation from the present targets/sources. Multiple ...

    • Regularized Canonical Correlations in Clustering Sensor Data 

      Chen, Jia; 0000-0003-3715-4938 (2016-05-10)
      In many data acquisition applications such as in sensor networks, the acquired sensor measurements contain information about multiple sources placed at different spatial locations. Such sources could correspond to different ...

    • SPARSE DECENTRALIZED PRINCIPAL COMPONENTS ANALYSIS FOR DIMENSIONALITY REDUCTION 

      Chen, Nanruo (2016-05-10)
      Principal components analysis (PCA) is a data compression technology relying on dimensionality reduction. In a wireless sensor network, the acquired data may be spatially scattered and include many zero variables, for ...