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Department of Electrical and Electronic Engineering
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  • [Show abstract] [Hide abstract]
    ABSTRACT: This study aims to the investigate effects of the air terminal layout on the performance of stratum ventilation. Experimental and numerical approaches were both applied. Six indices were used to evaluate the air distribution performance. A total of three air terminal layouts were investigated. The experimental results indicate that the exhaust location and the supply airflow rate can affect the air diffusion performance. In the simulated cases, the effects of the exhaust location on the thermal comfort and indoor air quality can be observed. It was found that having the exhausts located at the bottom of the wall helped with air mixing in the occupied zone. Thermal comfort and good air quality can be achieved with exhausts located at a lower level along the same wall as the supplies. This arrangement also helps to save space for system installation. Therefore, it is a better choice for stratum ventilation design if the performance requirements are met.
    Building and Environment 12/2014; 82:75–86.
  • [Show abstract] [Hide abstract]
    ABSTRACT: Two textual metrics “Frequency Rank” (FR) and “Intimacy” are proposed in this paper to measure the word using and collocation characteristics which are two important aspects of text style. The FR, derived from the local index numbers of terms in a sentences ordered by the global frequency of terms, provides single-term-level information. The Intimacy models relationship between a word and others, i.e. the closeness a term is to other terms in the same sentence. Two textual features “Frequency Rank Ratio (FRR)” and “Overall Intimacy (OI)” for capturing language variation are derived by employing the two proposed textual metrics. Using the derived features, language variation among documents can be visualized in a text space. Three corpora consisting of documents of diverse topics, genres, regions, and dates of writing are designed and collected to evaluate the proposed algorithms. Extensive simulations are conducted to verify the feasibility and performance of our implementation. Both theoretical analyses based on entropy and the simulations demonstrate the feasibility of our method. We also show the proposed algorithm can be used for visualizing the closeness of several western languages. Variation of modern English over time is also recognizable when using our analysis method. Finally, our method is compared to conventional text classification implementations. The comparative results indicate our method outperforms the others.
    Expert Systems with Applications 12/2014; 41(17):7805–7819.
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    ABSTRACT: Node localization has played an important role in wireless sensor networks. In this paper, cooperative localization using received signal strength (RSS) measurements is addressed. The technique of weighted multidimensional scaling (WMDS) which relies on pairwise distance information between nodes is utilized in our algorithm development. Assuming that the transmit power is available, we first convert the original nonlinear localization problem to a system of linear equations, leading to computational attractiveness. It is also proved that the positioning accuracy of the WMDS solution attains the Cramér-Rao lower bound at sufficiently small noise conditions. Furthermore, the proposed method is extended to the unknown transmit power case by exploiting the ratio of squared distance estimates extracted from the RSS information. The effectiveness of the WMDS approach is demonstrated via comparison with several conventional RSS-based positioning methods.
    Digital Signal Processing 11/2014;


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Top publications last week by downloads

International journal of food microbiology 10/2011; 149(3):194-208.
Renewable and Sustainable Energy Reviews 04/2007;

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