iosr-JCE   Volume-26 ~ Issue-4 ~ Jul. - Aug. 2024

Abstract: Micro processor based automated cassava processing system was developed to mimic the human activities in processing cassava into garri. The automated system was attached with a bio-fertilizer processing reactor. 25 kg of garri was produced using the automated system and the common man-mechanical system that is currently and predominantly used to process garri. The time taken and the quantity of waste generated by the two systems are tabulated in table........

Index Terms—Automation, man-mechanic, micro processor, bio-fertilizer, organic food, cassava, garri

[1]. Olutosin A Otekunrin1 and Barbara Sawicka. "Cassava, a 21st Century Staple Crop: How can Nigeria Harness Its Enormous Trade Potentials?" ACTA SCIENTIFIC AGRICULTURE (ISSN: 2581-365X), Volume 3 Issue 8 August 2019.
[2]. National bureau of Statistics Nigeria 2018 – 2019. "Nigeria-Nigeria living standard survey 2018 – 2019" Reference ID NGA-NBS-NLSS-2018-v01 https://nigerianstat.gov.ng/nada/index.php/catalog/68/study-description visited on 22/05/2022.
[3]. Vitalis Jafla Pontianus and Oruonye E.D. "The Nigerian population: A treasure for national development or an unsurmountable national challenge" International Journal of Science and Research Archive, 2021, 02(01), 136–142.
[4]. Edamisan Stephen Ikuemonisan a, Taiwo Ejiola Mafimisebi, Igbekele Ajibefun, Kemisola Adenegan. "Cassava production in Nigeria: trends, instability and decomposition analysis (1970–2018)" Heliyon 6 (2020) e05089.
[5]. Saranraj, P., Sudhanshu S.Behera; Ramesh C.Ray. "Traditional Foods from Tropical Root and Tuber Crops: Innovations and Challenges". Innovations in Traditional Foods (2019): 159-191

Abstract: The emergence of data mining techniques has encouraged researchers to attempt to apply them in the educational sector to discover knowledge from the students' data available to higher institutions of learning. This research work aims to develop a hybrid model that predicts academic performance based on admission pattern, thereby assessing the effectiveness of selected algorithms using metrics like Accuracy, Precision, Recall, and F1 Score. The study......

Keywords—Decision tree, Random forest, K-Nearest Neighbors, Academic performance, Hybrid Algorithm

[1]. Aman, F., Rauf, A., Ali, R., Iqbal, F., & Khattak, A. M. (2019, July). A predictive model for predicting students academic performance. In 2019 10th International conference on information, intelligence, systems and applications (IISA) (pp. 1-4). IEEE.
[2]. Baek, C., & Doleck, T. (2022). Educational data mining: A bibliometric analysis of
[3]. an emerging field. IEEE Access, 10, 31289-31296.
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[5]. academic performance and employability using data mining techniques: A research travelogue. The Eurasia Proceedings of Science Technology Engineering and Mathematics, 16, 117-131.

Abstract: The ever-expanding reliance on the internet has ushered in an era of unprecedented data generation and exchange. However, this interconnectedness has also created vulnerabilities, exposing vast quantities of personal and sensitive information to cyber threats. This paper explores the critical challenges of data protection in the internet age. It examines the evolving landscape of cyber attacks, highlighting common threats such as malware, phishing, and data breaches. The paper then delves into strategies for securing data, including robust encryption methods, secure user authentication, and best practices for data management. Furthermore, it emphasizes....

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Abstract: Background: The electromyogram (EMG) signal indicates electrical activity of muscles, which is the summation of all motor unit action potentials within the detection area of the electrode. However, when the surface EMG signal is recorded, it inevitably contaminated with various artifacts originated from different sources like inherent noise in the electronic components of detection and recording equipment, ambient noise, motion artifacts, inherent instability of signal and other physiological signals. Although different methods have been proposed to denoising EMG signals the problem of accurate and effective de-noising technique of EMG still remains a challenge.
Materials and Methods....

Key Word: Bandpass filtering; discrete cosine transform; electromyography; noise suppression; wavelet transform

[1]. Gijesh Varghese and Zhou Wang, Video Denoising Using a Spatiotemporal Statistical Model of Wavelet Coefficients. IEEE International Conference on Acoustics, Speech and Signal Processing, 2008.
[2]. Amirmazlaghani, M., & Amindavar, H. EMG signal denoising via Bayesian wavelet shrinkage based on GARCH modeling. IEEE International Conference on Acoustics, Speech and Signal Processing, 2009.
[3]. Mangala Gowri S .G, Dr.Cyril Prasanna Raj P. A High Performance Algorithm for EMG Signal Denoising with Classification Using Multilevel Dwt. International Journal of Scientific & Engineering Research, Volume 6, Issue 3, March-2015 606 ISSN 2229-5518.
[4]. Başpinar, Ulvi; Şenyürek, Volkan Yusuf; Doğan, Bariş; And Varol, Hüseyin Selçuk, A comparative study of denoising sEMG signals, Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 23: No. 4, Article 1, 2015.
[5]. Carlo J. De Luca, L. Donald Gilmore, Mikhail Kuznetsov, Serge H. Roy. Filtering the surface EMG signal: Movement artifact and baseline noise contamination. Journal of Biomechanics Volume 43, Issue 8, 28 May 2010, Pages 1573-1579..

Abstract: Background: The brain signal obtained by electroencephalography (EEG) is widely used as low cost arrangement for BCI implementation. Steady-state visual evoked potential (SSVEP) is an EEG obtained by illustrating flickering type of visual stimuli. In the SSVEP based BCI, the main concern is to recognize the flickering (stimulus) frequency of test SSVEP signal. Canonical correlation analysis (CCA) has been widely used in the detection of one of the most SSVEP based BCI systems. The performance and usability in our daily life of SSVEP-based BCI system depends.....

Key Word: Brain computer interface; canonical correlation analysis; frequency recognition.

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[3]. Z. Lin, C. Zhang, W. Wu, and X. Gao. Frequency recognition based on canonical correlation analysis for SSVEP-based BCIs. Biomedical Engineering, IEEE Transactions, June 2007; vol. 54, no. 6, pp. 1172–1176.
[4]. G. Bin, X. Gao, Z. Yan, B. Hong, and S. Gao. An online multichannel SSVEPbased brain computer interface using a canonical correlation analysis method. Journal of Neural Engineering 2009; vol. 6, no. 4, p. 046002.
[5]. M. R. Islam, T. Tanaka, M. K. I. Molla and M. S. Akter. Frequency Recognition for SSVEP – BCI Using Reference Signals with Dominant Stimulus Frequency. Proceedings of APSIPA Annual Summit and Conference 2015

Abstract: Computer Science is relatively new in the science courses that are expected of senior secondary students that offer sciences in the West African Examinations Council (WAEC) and the National Examination Council (NECO) in Nigeria. In this report, the outcome of a primary quantitative and qualitative research on the impact of teaching methodologies on the performances of senior secondary school students on Computer Science in WAEC and NECO.....

[1]. Aitokhuehi, J. O., & Ojogho, J. (2014). The Impact of Computer Literacy on Students' Academic Performance in Senior Secondary Schools in E san West Local Government Area, Edo State, Nigeria. Journal of Education and Human Development, 3(3), 265-270.
[2]. Boleng, D. T., & Corebima, A. D. (2014). Cooperative learning models having better potency to improve social attitude of multiethnic senior high school students at Samarinda, Indonesia. Journal of Educational Research and Reviews, 2(3), 36-44.
[3]. Brumann, S., Ohl, U., & Schulz, J. (2022). Inquiry-based learning on climate change in upper secondary education: A design-based approach. Sustainability, 14(6), 3544.
[4]. Castleberry, A., & Nolen, A. (2018). Thematic analysis of qualitative research data: Is it as easy as it sounds?. Currents in pharmacy teaching and learning, 10(6), 807-815.
[5]. Clarke, V., & Braun, V. (2017). Thematic analysis. The journal of positive psychology, 12(3), 297-298.

Abstract: The increasing rate of the Internet services and Web users in the recent time has led to the wide adoption of distributed Web Servers in form of clusters by Internet Service Providers. This is to enable them service the increasing number of client requests, as stand-alone servers has proven inefficient and can no longer handle the workloads. Stand-alone server allows requests to be processes in turn which causes delay in service delivery and response time, Denial of Service, computational overhead and non-availability in case of server failure. In dealing with these problems, the paper proposes cluster computing and networking technology as an alternative. Cluster....

Key Word: Server-Cluster, Failover Server, Cluster Computing, Load Management, Server Nodes

[1]. Safiriyu, E., Olatunde, A., Ganiyu A., Ayodeji, O., Clement, O. and Lawrence, K., (2010). A load Balancing Policy for Distributed Web Service. International Journal of Communication, Network and System Science, Vol. 3, pp. 645 – 654.
[2]. Ajay, A. J., Shriwastava, S. K., (2012). Design of an Optimized Virtual Server for Efficient management of Cloud Load in Multiple Cloud Environments. International Journal of Application or Innovation in Engineering & Management. Vol. 1, Issue 3.
[3]. Buyya, R., Yeo, C. S., Venugopal, S., Broberg, J., & Brandic, I. (2009). Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility. Future Generation computer systems, 25(6), 599-616.
[4]. Abdallah, M., Griwodz, C., Chen, K. T., Simon, G., Wang, P. C., & Hsu, C. H. (2018). Delay-sensitive video computing in the cloud: A survey. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 14(3s), 1-29
[5]. Schmeisser, M., Heisen, B. C., Luettich, M., Busche, B., Hauer, F., Koske, T., ... and Stark, H. (2009). Parallel, distributed and GPU computing technologies in single-particle electron microscopy. Acta Crystallographica Section D: Biological Crystallography, 65(7), 659-671.