M. Ake, Henry Nweke-Love, Bolaji Omitola, Joseph Iseolorunkanmi, Joshua Agada, Joy Oladapo
{"title":"Perception and Experience of Nigerian Private University Undergraduates on Virtual Learning during COVID-19 Lockdown","authors":"M. Ake, Henry Nweke-Love, Bolaji Omitola, Joseph Iseolorunkanmi, Joshua Agada, Joy Oladapo","doi":"10.1109/SEB-SDG57117.2023.10124593","DOIUrl":"https://doi.org/10.1109/SEB-SDG57117.2023.10124593","url":null,"abstract":"Asa measure to contain the rapid spread of COVID-19 pandemic, governments globally enforced lockdowns with several sectors such as the educational sector being affected as academic institutions remained shut during the period. This consequently prompted Landmark University, a private institution in North Central Nigeria as well as several other schools to adopt the virtual learning methods. A self-administered, structured questionnaire with a modified Likert scales pattern was administered to 400 undergraduate students of Landmark University who participated in the virtual classes during the lockdown period, out of which a total of 335 responses were obtained. With the primary objective being to assess the effects of environmental factors on the learning experiences of students during virtual learning, the study discovered after analysis that Telegram was the most used platform and is the platform that had the most significant effect on the online learning experience of the students.","PeriodicalId":185729,"journal":{"name":"2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130796979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. S. Ajani, Olusoji Amos Ogunbode, G. B. Egbeyale, C. S. Odeyemi, Adedoja Feyisayo Babalola, Peter Olaoluwa Oyero
{"title":"Construction of a Low-Power Rating FM Transmitter Radio with Audio Console for Community Broadcast and Security Alert","authors":"A. S. Ajani, Olusoji Amos Ogunbode, G. B. Egbeyale, C. S. Odeyemi, Adedoja Feyisayo Babalola, Peter Olaoluwa Oyero","doi":"10.1109/SEB-SDG57117.2023.10124617","DOIUrl":"https://doi.org/10.1109/SEB-SDG57117.2023.10124617","url":null,"abstract":"The security challenges experienced in different communities of Nigeria require initiatives from every stakeholder, hence the development of this miniaturized FM transmission console for information dissemination within a localized community. The early transmitter for radio broadcasting was so bulky and laborious that they occupied large space and heavy circuitry. The circuits were mainly designed with valves and other active components, which are responsible for the large size. With the advent of semiconductor materials such as transistors and integrated circuits, electronic equipments are now becoming miniaturized such that small transmitters are now becoming handy and compact. In line with this, a complete radio broadcasting equipment that is compact and locally designed is constructed in this research. The system units are of two categories namely: the audio console for processing voice with music mixer and the transmitter unit where the center frequency is generated. This project is aimed at serving community such as Estates or villages for broadcasting urgent information using a small radio broadcasting FM transmitting at 107.0 MHz with a power rating of 1 watt and covers a distance of 1 kilometer irrespective of directivity. The output audio signal was tested for different hours of the day and production was received with noticeable voice output. The radio broadcasting transmitter can also be used to disseminate information within large industries, hospitals and universities. The constructed device is recommended for security alerts in areas where security challenges are currently taking place in the Nigeria.","PeriodicalId":185729,"journal":{"name":"2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134105093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Aliyu, Ojediran J. O, Ajisegiri E. A. S, Solomon A. S, Olanrewaju S. S, Samson K. O, Omabuwa O. J, Abolusodun A, I. I. G, A. A. Banji, Oni T.O, Ogunniyi O.J, Boluwatife J. Ajewole, Elewa R.R
{"title":"A Cost Effective Groundnut Oil Producing Machine for Rural Development in Nigeria","authors":"S. Aliyu, Ojediran J. O, Ajisegiri E. A. S, Solomon A. S, Olanrewaju S. S, Samson K. O, Omabuwa O. J, Abolusodun A, I. I. G, A. A. Banji, Oni T.O, Ogunniyi O.J, Boluwatife J. Ajewole, Elewa R.R","doi":"10.1109/SEB-SDG57117.2023.10124630","DOIUrl":"https://doi.org/10.1109/SEB-SDG57117.2023.10124630","url":null,"abstract":"Groundnut Oil production at the rural setting in Nigeria under goes a tremendous fatigue processing. Besides this, the finished product is often contaminated with other harmful chemicals alongside with the local method of oil production. From the initial roasting of the groundnut, to the oil production process, there are often cases of uneven roast up. This new technology significantly improves the efficiency of the oil production process and helps consumers get the best possible oil.","PeriodicalId":185729,"journal":{"name":"2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)","volume":"202 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134409983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chidera Prince Eze, Jerry Emmanuel, Christopher Iyanu-Oluwa Onietan, Itunuoluwa Isewon, Jelili Oyelade
{"title":"Systematic Review on the Recent Trends of Cybersecurity in Automobile Industry","authors":"Chidera Prince Eze, Jerry Emmanuel, Christopher Iyanu-Oluwa Onietan, Itunuoluwa Isewon, Jelili Oyelade","doi":"10.1109/SEB-SDG57117.2023.10124561","DOIUrl":"https://doi.org/10.1109/SEB-SDG57117.2023.10124561","url":null,"abstract":"The increasing integration of technology in automobiles has raised industry concerns about cyber-security. This paper provides an overview of the most recent developments in automobile cyber-security practices, pointing out the most important areas of cyber security that need more research in the context of self-driving cars and the automobile industry. Considering the different communities of cybersecurity mapped out by previous researchers, we explored each of these communities with respect to automobiles. The community of cybersecurity is subjected to intrusion detection, cryptography, sensor networks, information hiding, intrusion detection, biometrics, authentication, usable security, and access control. From the systematic review done, we found out the bulk of security research in the automobile industry is geared towards intrusion detection. The use of chaos-based picture encryption, visual cryptography, biometric fingerprinting, keystroke dynamics, background subtraction, gait identification, provable security, provable data possession, block ciphers, differential power analysis, hardware trojans, physical unclonable functions, etc., although used in the industry, has yet to be explored with respect to the security of vehicles, their networks, and the automobile industry. The results show that some of the different communities of cybersecurity towards automobiles are still in their infancy with opportunities for novel work.","PeriodicalId":185729,"journal":{"name":"2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133465487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Christopher Iyanu-Oluwa Onietan, Isaac Martins, Timileyin Owoseni, Emmanuel Chibueze Omonedo, Chidera Prince Eze
{"title":"A Preliminary Study on the Application of Hybrid Machine Learning Techniques in Network Intrusion Detection Systems","authors":"Christopher Iyanu-Oluwa Onietan, Isaac Martins, Timileyin Owoseni, Emmanuel Chibueze Omonedo, Chidera Prince Eze","doi":"10.1109/SEB-SDG57117.2023.10124596","DOIUrl":"https://doi.org/10.1109/SEB-SDG57117.2023.10124596","url":null,"abstract":"This study explores the application of hybrid machine learning techniques in the domain of network intrusion detection systems (NIDS). The traditional approach to network intrusion detection typically involves the use of rule-based systems or signature-based systems. Rule-based systems use a set of predefined rules to detect known attack patterns, while signature-based systems use a database of known attack signatures to match against incoming network traffic. While these approaches can be effective at detecting known attacks, they are often not effective at detecting novel or unknown attacks. This is because rule-based and signature-based systems rely on pre-defined rules or signatures and may not be able to identify new or previously unseen attack patterns. Hybrid machine learning techniques were developed in response to these limitations. The authors review and compare recent studies that combine multiple machine learning algorithms and techniques to enhance the accuracy and efficiency of NIDS. The authors conclude that hybrid machine learning techniques are effective in improving the accuracy and reducing the false positives of NIDS. The study highlights the potential of hybrid techniques in enhancing the performance of NIDS, which is crucial in detecting and preventing cyber-attacks in various organizations and critical infrastructures.","PeriodicalId":185729,"journal":{"name":"2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128441056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
O. Oladoja, Adesola G. Folorunso, T. M. Adegoke, Sule Omeiza Bashiru, Kingley Chinedu Arum, Aliyu Abba Mustapha
{"title":"On the Application of Modelling Forest Fire in the Environment: A Bayesian Model Averaging Approach","authors":"O. Oladoja, Adesola G. Folorunso, T. M. Adegoke, Sule Omeiza Bashiru, Kingley Chinedu Arum, Aliyu Abba Mustapha","doi":"10.1109/SEB-SDG57117.2023.10124475","DOIUrl":"https://doi.org/10.1109/SEB-SDG57117.2023.10124475","url":null,"abstract":"One important environmental concern that has the potential to inflict serious ecological harm and also affect human life is a forest fire. Several factors can lead to forest fires, but uncertainties on the correct model specification can be a serious issue in the model selection processes. The variable selection approach Bayesian Model Averaging (BMA) accommodates for variability in model by aggregating the quantities by their Posterior Model Probabilities (PMP). This study used a model averaging strategy to model the major factors contributing to forest fires using a model prior that is uniform in choice as recommended by most in literature and uniform information parameter prior. The covariates Duff Moisture Code (DMC), and temperature with a Posterior Inclusion Probability (PIP) of 100% and a fairly large coefficient band appear to be the most relevant of the ten predictors investigated. Other relevant covariates in modeling burned area in the forest are y axis geographical coordinate with PIP of 91.8% and wind with PIP of 84.5%. With a Posterior Model Probability, the best model, 53.4%, found involves the y axis spatial coordinate, DMC, temperature and wind. Having a PIP of more than 50%, the four variables are important in modeling forest fires.","PeriodicalId":185729,"journal":{"name":"2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114369449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sunday Emmanuel Fadugba, M. Oluwayemi, A. O. Ajayi, Olanrewaju Faweya, Joseph Temitayo Okunlola, Malesela Kekana
{"title":"Fractional Reduced Differential Transform Method for Solving Fractional Order Measles Model","authors":"Sunday Emmanuel Fadugba, M. Oluwayemi, A. O. Ajayi, Olanrewaju Faweya, Joseph Temitayo Okunlola, Malesela Kekana","doi":"10.1109/SEB-SDG57117.2023.10124484","DOIUrl":"https://doi.org/10.1109/SEB-SDG57117.2023.10124484","url":null,"abstract":"This paper presents a framework based on the reduced differential transform method of fractional type (F-RDTM) for the solution of the Caputo fractional order measles model. F-RDTM is an approach for obtaining semi-analytical solutions to fractional partial differential equations (FPDEs). The performance of F-RDTM in terms of suitability and effectiveness was tested on an illustrative example. Also, the results obtained are presented and discussed extensively to illustrate the solution of the model.","PeriodicalId":185729,"journal":{"name":"2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114370780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Akinrinmade, E. Adetiba, J. Badejo, Oluwadamilola Oshin
{"title":"An Active Speaker Detection Method in Videos using Standard Deviations of Color Histogram","authors":"A. Akinrinmade, E. Adetiba, J. Badejo, Oluwadamilola Oshin","doi":"10.1109/SEB-SDG57117.2023.10124488","DOIUrl":"https://doi.org/10.1109/SEB-SDG57117.2023.10124488","url":null,"abstract":"Active Speaker Detection (ASD) is a process that predicts who the speaker is amongst those whose faces appear in a video (if any) at any given point in time within the recorded video. This work presents a novel algorithm capable of detecting the active speakers in each video using the standard deviations of Color Histograms (CHs) computed at the mouth region from one frame to another. This paper relies on the assumption that the lips of an active speaker are in motion. They open and close and thus reveal the inner parts of the mouth, like the tongue, teeth, and the vocal cavity which are of diverse colors in the process of talking. It is possible to use already existing algorithms to detect the mouth region. This region can be analyzed during the speaking process for the changes in color activity, and this can be used to predict whether a user is speaking or not. If a person is not speaking, the lips are at rest the CH of such mouth regions such candidates would be stable. As a result, the standard deviations of such regions would be negligible. A threshold can be experimentally determined which is thus capable of predicting if a person is speaking or otherwise. This paper explores 53 online videos from Channels TV station, these videos were employed in the creation of 250 video clips. Each clip is between 15 to 60 seconds with a total of 3.6 hours. Each video contained the faces of at most two speakers in no particular order. Sometimes, only one of the speakers' faces appears, at other times both appear in the duration of the video. The status of the speakers whether active or not was manually labeled to be used for the performance evaluation of the proposed algorithm. This method was able to predict the active speakers with an accuracy of 99.19%.","PeriodicalId":185729,"journal":{"name":"2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125448204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mathematical Modeling and Its Methodological Approach: Application to Infectious Disease","authors":"O. Abiodun, A. Olukayode, J. Ndako","doi":"10.1109/SEB-SDG57117.2023.10124470","DOIUrl":"https://doi.org/10.1109/SEB-SDG57117.2023.10124470","url":null,"abstract":"Mathematical models are very important in all of the natural sciences, and they are becoming more and more important in the social sciences too. They also offer a quantitative context for explaining, making predictions, and making decisions in almost every area of life, such as controlling the spread of a disease, managing resources, and making decisions in sports. This study shows numerous frameworks and perspectives adopted for modelling infectious disease using mathematical modelling. This work introduces a general modeling paradigm that has been shown to be beneficial for modeling complex scientific systems for biological purposes. We highlight the most important methodology, tactics, and interconnections of these approaches. In addition, the significance, key characteristics, and methodology of mathematical modeling are discussed. This is a theoretical study that other epidemic and pandemic model researchers may find valuable.","PeriodicalId":185729,"journal":{"name":"2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126630047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Adetunla, S. Afolabi, E. O. Ige, Sunday Afolalu
{"title":"Electro-pneumatic Actuation of a Six-mould compartment Mini-sized Briquetting Machine","authors":"A. Adetunla, S. Afolabi, E. O. Ige, Sunday Afolalu","doi":"10.1109/SEB-SDG57117.2023.10124499","DOIUrl":"https://doi.org/10.1109/SEB-SDG57117.2023.10124499","url":null,"abstract":"The demand for energy is becoming a critical challenge for the world as the population continues to grow. This calls for sustainable energy production and supply such as renewable energy technologies. Renewable energy technologies are safe sources of energy that have a much lower environmental impact than conventional energy technologies. Briquetting which is the process of compressing raw materials under high pressure to give a round or square briquette depending on the mould used which can be used for heating purpose is one of the renewable sources of energy that was devised to address problems regarding global warming, energy crisis, as well as solid waste management. In this study, an electro-pneumatically controlled six-mould briquetting machine was developed by using pneumatic controllers. The materials employed include metal sheet, three double acting cylinders, three manually operated switches and angle bar. An experimental setup was carried out by using fluid-SIM to test the performance of the designed circuit connections of the three double acting cylinders. On that note, the design and fabrication of an electro-pneumatically controlled six mould briquetting machine was successfully carried out which works both electrically and pneumatically, and findings were made that in rural areas where their wastes are mostly agricultural residues, these residues can be used as sources of energy with the use of the developed electro-pneumatically controlled six-mould briquetting machine.","PeriodicalId":185729,"journal":{"name":"2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127714712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}