Browsing by Author "Islam, M.,"

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    Design and performance analysis of 3.4 ghz rectangular microstrip patch antenna for wireless communication systems
    (Praise Worthy Prize S.r.l, 2017-02) Al Amin, A.,; Islam, M.,; Masud, M.A.,; Khan, N.H.,; Zavala, J.W.A.,; Islam, M.M.U.
    Wireless communication provides low-cost, high-speed and flexible communication in present days. Hence antenna plays a vital role in the wireless communication sector. The main concern of this paper is therefore to design a 3.4 GHz rectangular Microstrip patch antenna. Moreover, the feed probe based rectangular patch antenna will be designed. The performance of the designed rectangular patch antenna will be evaluated by analysing the major parameters of the simulation results. Hence the radiation pattern, gain, impedance matching and reflection coefficient or return loss calculation will be executed by the HFSS software to evaluate the performance of the antenna.
  • Thumbnail Image
    Item
    Improved approach for electric vehicle rapid charging station placement and sizing using Google maps and binary lightning search algorithm(Article)
    (Public Library of Science, 2017) Islam, M.,; Shareef, H.,; Mohamed, A.
    The electric vehicle (EV) is considered a premium solution to global warming and various types of pollution. Nonetheless, a key concern is the recharging of EV batteries. Therefore, this study proposes a novel approach that considers the costs of transportation loss, buildup, and substation energy loss and that incorporates harmonic power loss into optimal rapid charging station (RCS) planning. A novel optimization technique, called binary lightning search algorithm (BLSA), is proposed to solve the optimization problem. BLSA is also applied to a conventional RCS planning method. A comprehensive analysis is conducted to assess the performance of the two RCS planning methods by using the IEEE 34-bus test system as the power grid. The comparative studies show that the proposed BLSA is better than other optimization techniques. The daily total cost in RCS planning of the proposed method, including harmonic power loss, decreases by 10% compared with that of the conventional method.