Browsing by Author "Sundaraj, K."

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    Development of fuzzy inference system for automatic tea making
    (IEEE Xplore, 2017-03-27) Ahamed, Nizam Uddin; Taha, Zahari Bin; Khairuddin, Ismail B. Mohd; Rabbi, Mohammad Fazle; Sikandar, Tasriva; Palaniappan, Rajkumar; Ali, Md. Asraf; Rahman, Sam Matiur; Sundaraj, K.
    In this paper, a fuzzy inference system has been developed for automatic tea making process. The system takes five inputs and gives two output which determines the grade of black tea and milk tea. Specifically, the proposed system considers five important characteristics of hot tea beverage such as water temperature, sugar, milk, brewing time and tea leaves quantity for grading the standard of the drink according to the consumer's requirement. Both black tea and milk tea can be rated with a grade based on the human expert judgment which is according to the taste and aroma of the tea. This automatic tea making system can let the users choose their preferred type of tea without figuring out the complicated process to making a cup of hot tea beverage. Full Text Link: http://doi.org/10.1109/I2CACIS.2016.7885314
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    Fuzzy logic controller design for intelligent drilling system
    (IEEE Xplore, 2017-03-27) Ahamed, Nizam Uddin; Yusof, Zulkifli; Hamedon, Zamzury; Rabbi, Mohammad Fazle; Sikandar, Tasriva; Palaniappan, Rajkumar; Ali, Md. Asraf; Rahman, Sam Matiur; Sundaraj, K.
    An intelligent drilling system can be commercially very profitable in terms of reduction in crude material and labor involvement. The use of fuzzy logic based controller in the intelligent cutting and drilling operations has become a popular practice in the ever growing manufacturing industry. In this paper, a fuzzy logic controller has been designed to select the cutting parameter more precisely for the drilling operation. Specifically, different input criterion of machining parameters are considered such as the tool and material hardness, the diameter of drilling hole and the flow rate of cutting fluid. Unlike the existing fuzzy logic based methods, which use only two input parameters, the proposed system utilizes more input parameters to provide spindle speed and feed rate information more precisely for the intelligent drilling operation. Full Text Link: http://doi.org/10.1109/I2CACIS.2016.7885316