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All Journal Vokasi UNESA Bulletin of Engineering, Technology and Applied Science
Atojunere, Eganoosi
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Computer Science & IT Engineering Mechanical Engineering Transportation

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Detecting Malaria Cells with Plasmo-D Expert System Developed on Android and Computer Vision Atojunere, Eganoosi; Onaneye, Temilola. Adewunmi
Vokasi Unesa Bulletin of Engineering, Technology and Applied Science Vol. 2 No. 3 (2025)
Publisher : Universitas Negeri Surabaya or The State University of Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/vubeta.v2i3.39626

Abstract

Separation between infected and uninfected cells during diagnosing malaria parasites plasmodium is difficult, time-consuming, and expensive. However, this article presented a report on a developed expert system called Plasmodium Detector(Plasmo-D), capable of differentiating plasmodium-infected and uninfected cells from malaria-infected patients. Plasmo-D was built on an Android application, with an information menu, splash, and classification screen, including an image recognition system that worked with computer vision. 27,528 cell images were collected online from the Data Library of the United States National Library of Medicine, containing infected and uninfected cells for training. No cell images were used as control. Plasmo-D fabrication and testing were conducted at the Instrumentation Laboratory, Department of Systems Engineering, University of Lagos, Nigeria. Studied parameters included cell images, backgrounds, visual style, size, type, lighting, and camera angle. Trained models were exported into an Android application through Java programming language and user interface through Android XML (Extensible Markup Language). Trained data results indicated that 99.8% desired level of accuracy was obtained after cell images were fed into the computer vision application programming interface. The trend was that Plasmo-D efficiency was higher for infected image cells, average for uninfected image cells and the least for no cell photo.
The Cassava Wastewater Treatment System with and without Recirculation – Challenge and Prospect Atojunere, Eganoosi
Vokasi Unesa Bulletin of Engineering, Technology and Applied Science Vol. 3 No. 1 (2026)
Publisher : Universitas Negeri Surabaya or The State University of Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/vubeta.v3i1.43872

Abstract

The volume of wastewater produced during the secondary processing of cassava into cassava products is significant. This growing concern is not intended to undermine the importance of cassava as a staple food in many countries; instead, it is linked to the way wastewater is handled, which is considered deficient. This review is based on secondary data gathered from over 50 studies published between 2005 and 2025 on different treatment methods for cassava wastewater. It compared the Removal Efficiency (RE) of two existing Cassava Wastewater Treatment Systems: one with Recirculation (CWTS-R) and the other without Recirculation (CWTS-WR). The REs were based on four studied physicochemical parameters: Suspended Solids (SS), COD, turbidity, and cyanide. The trend for the REs was: pH 56 > 33.4; SS 45 > 42.3; COD 47 > 43.2; Turbidity 56 > 25.2; and Cyanide 40 > 38.3 for CWTS-R and CWTS-WR. The data obtained revealed that the REs for the CWTS-R were higher across all studied physiochemical parameters than those for the CWTS-WR. The contaminants removal abilities of the CWTS-R and CWTS-WR were significantly different. The increase in the REs might not be unrelated to the addition of a pump that redirects cassava wastewater back to the starting treatment points when the set threshold limits for these parameters are exceeded. Optimizing the operations of the existing CWTS-R and CWTS-WR is recommended to improve efficiency.
Co-Authors Onaneye, Temilola. Adewunmi