https://ijcjournal.org/index.php/InternationalJournalOfComputer/issue/feed International Journal of Computer (IJC) 2021-08-04T07:44:54+00:00 Dr. Mohamad Nasar editor@ijcjournal.org Open Journal Systems <p>The <a title="International Journal of Computer (IJC) home page" href="/index.php/InternationalJournalOfComputer/index" target="_blank" rel="noopener"><strong>International Journal of Computer (IJC)</strong></a> is an open access International Journal for scientists and researchers to publish their scientific papers in Computer Science related fields. <a title="International Journal of Computer (IJC)" href="/index.php/InternationalJournalOfComputer/index" target="_blank" rel="noopener">IJC</a> plays its role as a refereed international journal to publish research results conducted by researchers.</p> <p>This journal accepts scientific papers for publication after passing the journal's double&nbsp;peer review process.&nbsp; For detailed information about the journal kindly check <a title="About the Journal" href="/index.php/InternationalJournalOfComputer/about">About the Journal</a>&nbsp;page.&nbsp;</p> <p>All <a title="International Journal of Computer (IJC)" href="/index.php/InternationalJournalOfComputer/index" target="_blank" rel="noopener">IJC</a> published papers in Computer Science will be available for scientific readers for free; no fees are required to download published papers in this international journal.</p> <p>&nbsp;</p> https://ijcjournal.org/index.php/InternationalJournalOfComputer/article/view/1881 Fuzzy Logic Based Dam Water Shutter Control System by Using Water Level and Rainfall Condition in Raining Season 2021-07-18T15:14:24+00:00 Nay Thazin Htun naythazintun@uit.edu.mm Moh Moh Nyunt Aung mohmohnyuntaung@uit.edu.mm <p>A robust water shutter management system ensures that the water does not overflow and destroy or damage the dam. During the rainy season, care must be taken when dams conserve water, if the reservoir volume is too high, the risk of dam failure may be increased. So water level control is a special matter in the rainy season. Fuzzy logic sets provide better control than binary logic-based methods because they are used to determine the meaning of qualitative values for controller inputs and outputs, such as small, medium, and large control actions. This system used the fuzzy logic control theory in the water shutter management system to get smoothness motor control values of small, very small, medium, large, and very large. The system uses ultrasonic sensors to detect water levels, rain sensors to detect rain, and fuzzy logic controls to control the PWM duty cycle to the shutter gate motor driver circuit based on the detection of these two sensors. This control strategy is implemented with Arduino Uno.</p> 2021-07-18T15:14:24+00:00 Copyright (c) 2021 International Journal of Computer (IJC) https://ijcjournal.org/index.php/InternationalJournalOfComputer/article/view/1885 Recognition of West African Indigenous Fruits using a Convolutional Neural Network Model 2021-08-04T07:44:54+00:00 Amarachi M. Udefi amaraudefi@gmail.com Segun Aina amaraudefi@gmail.com Samuel D. Okegbile amaraudefi@gmail.com Aderonke R. Lawal amaraudefi@gmail.com Adeniran I. Oluwaranti amaraudefi@gmail.com <p>The. Fruit recognition involves the extraction and processing of relevant features from fruit images in order to deduce the categories of that fruit. Due to its importance to human health and sustainability, various systems exist for recognition of fruits, although none exist for recognition of west Africa's indigenous fruits. This research developed a fruit recognition system using a convolutional neural network (CNN) based model. Five west Africa indigenous fruits were selected, while “images were directly used as input to CNN based model of (3 convolutional layers, 3 max pooling layers and 1 fully connected layer) for training and recognition without features extraction process. The study further presents a transfer learning on visual geometry group 16 and ResNet models for result comparison. Using the optimal training set, the proposed CNN based model produced a recognition rate of 96%.</p> 2021-08-04T07:44:53+00:00 Copyright (c) 2021 International Journal of Computer (IJC)