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[Author] Sawal Hamid MD ALI(2hit)

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  • Comparative Performances of SOI-Based Optical Interconnect vs. Electrical Interconnect in Analog Electronic Applications

    Siti Sarah MD SALLAH  Sawal Hamid MD ALI  P. Susthitha MENON  Nurjuliana JUHARI  Md Shabiul ISLAM  

     
    PAPER-Optoelectronics

      Vol:
    E100-C No:7
      Page(s):
    655-661

    Silicon-on-insulator (SOI) has become one of the most famous materials in recent years, especially in silicon photonics applications. This paper presents a comparative performance of a SOI-based optical interconnect (OI) vs. an electrical interconnect (EI) for high-speed performances at a circuit level. The SOI-based optical waveguide was designed using OptiBPM to obtain a single mode condition (SMC). Then, the optical interconnect (OI) link was simulated in OptiSPICE and was tested as an interconnection in two-stage CS amplifiers. The results showed that the two-stage CS amplifier using OI offered several advantages in terms of electrical performances, such as voltage gain, frequency bandwidth, slew rate, and propagation delay, which makes it superior to the EI.

  • Low Cost Wearable Sensor for Human Emotion Recognition Using Skin Conductance Response

    Khairun Nisa' MINHAD  Jonathan Shi Khai OOI  Sawal Hamid MD ALI  Mamun IBNE REAZ  Siti Anom AHMAD  

     
    PAPER-Biological Engineering

      Pubricized:
    2017/08/23
      Vol:
    E100-D No:12
      Page(s):
    3010-3017

    Malaysia is one of the countries with the highest car crash fatality rates in Asia. The high implementation cost of in-vehicle driver behavior warning system and autonomous driving remains a significant challenge. Motivated by the large number of simple yet effective inventions that benefitted many developing countries, this study presents the findings of emotion recognition based on skin conductance response using a low-cost wearable sensor. Emotions were evoked by presenting the proposed display stimulus and driving stimulator. Meaningful power spectral density was extracted from the filtered signal. Experimental protocols and frameworks were established to reduce the complexity of the emotion elicitation process. The proof of concept in this work demonstrated the high accuracy of two-class and multiclass emotion classification results. Significant differences of features were identified using statistical analysis. This work is one of the most easy-to-use protocols and frameworks, but has high potential to be used as biomarker in intelligent automobile, which helps prevent accidents and saves lives through its simplicity.