Browsing by Author "Isiaka, Fatima"

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    Embedding Emojis to Redefine Gaze-Point and Scan-path in a Visual Centre field
    (Department of Computer Science, Nasarawa State University Keffi, 2021-01-06) Isiaka, Fatima; Salihu, Abdullahi Audu; Umar, Mustapha Umar; Abdulsalam, Fatima Yunus; Ogah, Muhammad Usman
    Gaze point reflects the eyes’ fixation on a visual field but doesn’t express the meaning of a fixation point and scan-path on the same area of interest as much as text-based expression. Text-based expressions are the most common type of emoticons. Emojis are derived from emotion and icons. In an instance when one is feeling happy, not-happy, overjoyed, or upset emoticons can help express the most basic form of these feelings in ways that word or speech cannot. An important function of emoji as a form of the communicative symbol is to convey emotional content from a sender to a receiver in a computer-mediated form of communication. Here we tend to redefine fixations points and scan-path using emoji and physiological response to convey user emotional response to a static webpage by a synchronous assembly of emoji coordinates and gaze points based on the following concepts: (1) correlating gaze points with emotional emoji (2) redefine eye movement behaviour with emoji bubbles (3) integrate physiological correlates for synchronious mapping of emoji characters. From the analysis, result shows that stress and neutral mood are the basic form of emotion expressed by users while dealing with specific form of web content, this reflects the dynamic changes in their pupil dilation.
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    Improved Artificial Neural Network Algorithm for Offline Signature Verification
    (Department of Computer Science, Nasarawa State Univeristy Keffi, 2022-10-10) Ojuolape, Adewumi Emmanuel; Umar, Mustapha Ahmed; Audu, Abdullahi; Isiaka, Fatima; Ogah, Muhammad Usman
    Identity theft is an invasive crime globally because most peo- ple have their information available online. Research has shown that an effective signature verification system can be used to mitigate the im- pact of identity theft on society. In this paper, we design an efficient sim- ilarity index to resolve the shortcomings of the existing measures in giv- ing high confidence in signature verification. The experiment shows the efficacy of the proposed method in verifying offline signatures using an artificial neural network approach.
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    TOWARDS OPTIMIZATION OF TORQUE PEDALS BY MODELING BELT CONVEYORS AND SPEED CONTROLLERS OF A VEHICLE DRIVE TRAIN
    (Department of Statistics, Nasarawa Sate University Keffi., 2020-04-04) Isiaka, Fatima; Chaku, Shammah Emmanuel; Ibrahim, Ahmed
    ABSTRACT One of the most important components of engine systems on power train is its sole purpose of transmitting engine power to its tracks. This paper demonstrates an engine system by illustrating belt conveyors attached to power train which serves as a booster for motor drives and also speed control for its induction unit. The emphases was mostly on the converters by modeling the frequency converter element which requires an AC voltage and Speed controllers or torque controls. A real time simulation was made and frequent observation of its motor controls was conducted by running simulations on all control motors and comparing the bit error rate of each machine. The result shows synchromesh transmission or accelerated patterns based on friction, the strand velocity, air Gap and torque controls, and this would help build advanced engine drive systems for future power trains on heavy machines.