R. Ogundokun, Ugochukwu Basil, A. N. Babatunde, AbdulRahman Tosho Abdulahi, Ajiboye Raimot Adenike, A. Adebiyi
{"title":"Intrusion Detection Systems Based on Machine Learning Approaches: A Systematic Review","authors":"R. Ogundokun, Ugochukwu Basil, A. N. Babatunde, AbdulRahman Tosho Abdulahi, Ajiboye Raimot Adenike, A. Adebiyi","doi":"10.1109/SEB-SDG57117.2023.10124506","DOIUrl":"https://doi.org/10.1109/SEB-SDG57117.2023.10124506","url":null,"abstract":"The proliferation of Internet use poses certain security problems for networks. Intrusion detection (ID) in cybersecurity technology is to recognize unexpected entry to or assaults on secured networked computers. In the research, many machine learning (ML) and deep learning (DL) algorithms have been used to tackle intrusion detection systems (IDS). Nevertheless, few publications examine and explain the present state of employing ML approaches to tackle ID issues. This systematic review (SR) analyzes 11 papers published between 2016 and 2021 that focused on developing single, hybrid, and ensemble classifiers. Similar research is evaluated based on their classifier designs, the datasets they used, and their conceptual frameworks. Recent accomplishments and limits in developing IDS systems using ML are presented and analyzed. In addition, many prospective study possibilities are offered.","PeriodicalId":185729,"journal":{"name":"2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)","volume":"27 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":"114648997","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}
Louisa Osiyi O., Adebiyi Ayodele A., Igbekele Emmanuel O.
{"title":"Prediction of Diabetes Mellitus in Developing Countries: A Systematic Review","authors":"Louisa Osiyi O., Adebiyi Ayodele A., Igbekele Emmanuel O.","doi":"10.1109/SEB-SDG57117.2023.10124482","DOIUrl":"https://doi.org/10.1109/SEB-SDG57117.2023.10124482","url":null,"abstract":"Diabetes Mellitus (DM) is a chronic disease that affects millions of people around the world, primarily in developing countries. Diabetes has also been found to be a recurrent and genetic and hereditary disease ravaging lives from one generation to another. Hence, early detection of diabetes is critical to avoiding complications and lowering healthcare costs. This review article aims to compare previous works that used various machine learning models in predicting Diabetes Mellitus (DM) in Nigeria, a developing country. The models' accuracy, precision, and recall, as well as their advantages and limitations, are all discussed. The difficulties encountered in applying machine learning models for DM prediction in Nigeria, as well as potential solutions, are also discussed. The article emphasizes the importance of ongoing research in this area as well as the advantages of using K-Nearest Neighbor (KNN) and Support Vector Machine (SVM) models to improve early detection and management of diabetes in developing countries.","PeriodicalId":185729,"journal":{"name":"2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)","volume":"23 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":"125237747","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":"Computational Techniques for Cardiovascular Diseases Prediction: Systematic Review","authors":"Ikudaisi David Olusoji, Rahman Mukaila Alade, Oluseyi Adedayo Abiodun, Orioke Omoyemi Olabisi","doi":"10.1109/SEB-SDG57117.2023.10124568","DOIUrl":"https://doi.org/10.1109/SEB-SDG57117.2023.10124568","url":null,"abstract":"Cardiovascular disease (CVD) occurs when the heart is unable to circulate the appropriate amount of blood to other parts of the body in order to perform normal functions. The purpose of this research is to conduct a systematic review of computational methods for predicting the risk of cardiovascular disease. A systematic search strategies was adopted, as reported by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist. The articles were chosen from Google Scholar, PubMed, and Web of Science and evaluated purely computational techniques for CVD risk prediction. The inclusion criteria were satisfied by 46 studies: 9 on fuzzy logic or hybrids, 5 on genetic algorithms or hybrids, 21 on machine learning, ensembles, or hybrids, 3 on data mining, 2 on intelligent systems, and 7 on neural networks and their hybridized forms. Research results indicated that better CVD prediction in humans will be assured by the use of computational techniques with higher performance accuracy.","PeriodicalId":185729,"journal":{"name":"2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)","volume":"36 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":"117129888","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, G. B. Egbeyale, Olaide Eyiwumi Shogo, C. S. Odeyemi, A. Galadima, Peter Olaoluwa Oyero
{"title":"Comparative Assessment of Radioactivity Concentration in Sweet Potatoes from Different Geopolitical Zones of Nigeria","authors":"A. S. Ajani, G. B. Egbeyale, Olaide Eyiwumi Shogo, C. S. Odeyemi, A. Galadima, Peter Olaoluwa Oyero","doi":"10.1109/SEB-SDG57117.2023.10124519","DOIUrl":"https://doi.org/10.1109/SEB-SDG57117.2023.10124519","url":null,"abstract":"Evaluation of the specific activity of radioactivity in tubers is an important tool in the assessment of human internal exposure to radiation through ingestion. In this research, the activity concentrations of natural radionuclides 40 K, 238 U and 232 Th in sweet potato samples taken from different farm lands in the six geopolitical zones of Nigeria were determined by means of gamma spectrometry. Using standard calibrated NaI (TI) and shielded detector coupled to a computer resident quantum MCA2100R Multichannel analyzer for 36,000 s. The activities were estimated to be 526.39 ± 51.40, 8.55 ± 1.76 and 1.14 ± 0.42Bq/kg respectively for 40 K, 238 U and 232 Th. The estimated daily intake through potato diet are 6.6622, 4.6860, 4.6748, 2.75103, 2.7453, and 2.3983 Bq.d−1 for South-East (Abia), South-South(Edo), South-West(Oyo), North-Central (Kwara), North-West (Sokoto), and North-East (Adamawa) respectively. Findings showed that potato plants uptake and transport radionuclides from the soil by the root system. It also showed that 40 K is the most radionuclides contaminant presents in the farm soil where the potato plants were grown. The daily intake of radionuclides was also observed to be highest in 40 K. This may be due to the use of phosphate rich fertilizer in the farmlands where they were grown. The overview of the research showed that the annual effective doses due to potato diet, at this present rate, pose no significant threat to the public.","PeriodicalId":185729,"journal":{"name":"2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)","volume":"23 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":"122349628","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":"A Bibliometric Analysis and Science Mapping of Recommendation Systems Research from 1987 to 2022","authors":"Oladipupo O. Olufunke, Otavie Okuoyo","doi":"10.1109/SEB-SDG57117.2023.10124525","DOIUrl":"https://doi.org/10.1109/SEB-SDG57117.2023.10124525","url":null,"abstract":"This paper presents a bibliometric analysis and science mapping study of recommendation systems (RS) using VOSviewer and Bibliometrix-R package tools. The study analysed 9,232 Scopus-indexed papers from 1987 to 2022 to uncover publishing trends and evaluate the performance of researchers, journals, articles, institutions and countries in this domain. The study found that the United States, Spain and the United Kingdom produced high-quality research with high citation-to-publication ratios. China had the most publication and the highest level of international collaboration. African countries such as Nigeria, Tunisia, Algeria, Egypt and others lag in publications, institutions, citations, and collaborations with developed countries. Joseph Konstan, John Riedl, Bamshad Mobasher, Robin Burke, Francesco Ricci, and Yehuda Koren were identified as leading researchers in the field. Recommendation systems are crucial for social media, e-commerce, and e-learning and high-performing algorithms are needed to help people find relevant, personalized information. The results of this study could help researchers and scholars find potential collaborators, and understand current trends and future directions in recommender system-related journals more quickly.","PeriodicalId":185729,"journal":{"name":"2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)","volume":"354 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":"122798840","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}
Onokwai O. Anthony, Ibikunle A. Rotimi, Ajisegiri S. A. Emmanuel, Onokpite Ejiroghene, E. Omoniyi, Anyaegbuna E. Benjamin, Aliyu J. Samuel, Igbebuike U. Kingsley
{"title":"Optimization of process parameters for intermediate pyrolysis of sugarcane bagasse for biochar production using response surface methodology","authors":"Onokwai O. Anthony, Ibikunle A. Rotimi, Ajisegiri S. A. Emmanuel, Onokpite Ejiroghene, E. Omoniyi, Anyaegbuna E. Benjamin, Aliyu J. Samuel, Igbebuike U. Kingsley","doi":"10.1109/SEB-SDG57117.2023.10124642","DOIUrl":"https://doi.org/10.1109/SEB-SDG57117.2023.10124642","url":null,"abstract":"Renewable and clean energy remains a better option in ameliorating the elevated concern about climate change, global warming, and the decline of fossil fuel reserves. This study aimed to optimize the pyrolysis process for producing biochar from sugarcane bagasse using Response Surface Methodology (RSM). The physicochemical and thermal properties of the raw biomass were analyzed, and the optimal operating parameters for biochar production were determined. The optimal biochar yield was achieved at a temperature of 320°C, reaction time of 5 minutes, heating rate of 7.5°C/min, nitrogen flow rate of 225 cm3/min, and particle size of 0.9 mm. The study found that the operating parameters significantly affected the yields of pyrolysis products, with an optimal biochar yield of 40.4 wt% achieved at specific operating conditions. The biochar samples obtained from biomass contain alcohols, phenol, and aromatic compounds due to the thermal degradation of cellulose, hemicellulose, and lignin. Hence, making them useful as bioenergy and petrochemical industries. Biochar had a high energy and carbon content, making it a potential solid fuel for various applications with good mechanical properties. These findings highlight the potential of biochar as a renewable and clean energy source that could help mitigate concerns about global warming, climate change, and the decline of fossil fuel reserves.","PeriodicalId":185729,"journal":{"name":"2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)","volume":"38 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":"129023222","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}
Jide Kehinde Adeniyi, Tunde Taiwo Adeniyi, J. B. Awotunde, M. Abiodun, Oladayo Gbenga Atanda
{"title":"Agrolend: A Blockchain implementation approach of smart contract farming platform","authors":"Jide Kehinde Adeniyi, Tunde Taiwo Adeniyi, J. B. Awotunde, M. Abiodun, Oladayo Gbenga Atanda","doi":"10.1109/SEB-SDG57117.2023.10124467","DOIUrl":"https://doi.org/10.1109/SEB-SDG57117.2023.10124467","url":null,"abstract":"This study addresses contract farming through blockchain technology using smart contracts. The issues with the current process of acquiring loans from banks, cooperatives and large organizations is the long procedure required and the high interest rates. The new system designed eliminates that process. In the study, a smart contract system was developed to connect farmer with land owners, and supply companies. The design was implemented with Ganache as the local blockchain platform used to store the smart contracts in a bid to make it immutable. The implementation was carried out using Solidity, HTML, CSS, JAVASCRIPT, and Truffle JS. The developed system ensures farmers start agricultural projects without going through the process of applying for loans but rather connecting with a land owner to lease his land for an agreed period of time and also get seeds and fertilizers from harvest companies with little or no capital.","PeriodicalId":185729,"journal":{"name":"2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)","volume":"274 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":"116217063","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. Noiki, E. Salawu, S. Afolalu, J. Kayode, S. L. Lawal
{"title":"Green Supply Chain Management: Impacts, Challenges, Opportunities, and Future Perspectives","authors":"A. Noiki, E. Salawu, S. Afolalu, J. Kayode, S. L. Lawal","doi":"10.1109/SEB-SDG57117.2023.10124618","DOIUrl":"https://doi.org/10.1109/SEB-SDG57117.2023.10124618","url":null,"abstract":"in the last decades, tackling human-induced environmental challenges has been a foremost global concern for firms to earn competitiveness. green integration emphasizes firm allegiance to the sustainability of the environment since a large percentage of the manufacturers mostly source and procure materials from other firms. Businesses need to have a sustainable business model due to the demands of sustainability in the supply of natural resources, price increase, political and environmental restraints within the supply chain system. in this study, we have critically examined numerous pieces of kinds of literature on green supply chain management practices. we investigated its definition, evolution, and components, key performance index, various challenges militating against its successful implementation and opportunities, and the future perspectives of green supply chain management practices.","PeriodicalId":185729,"journal":{"name":"2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)","volume":" 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113948381","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. A. Alfa, T. O. Aro, Olukiran Oyenike Adunni, Danjuma Zakwoi Iliya, O. Awe, Ayodeji Owonipa
{"title":"SHA-AES based on Chaining Block Code and Galois Counter Mode Encryptions for the Privacy of Smart Farming Systems","authors":"A. A. Alfa, T. O. Aro, Olukiran Oyenike Adunni, Danjuma Zakwoi Iliya, O. Awe, Ayodeji Owonipa","doi":"10.1109/SEB-SDG57117.2023.10124512","DOIUrl":"https://doi.org/10.1109/SEB-SDG57117.2023.10124512","url":null,"abstract":"In smart farming, IoT plays a dominant role in diverse data generation, data transmission, and applications such as irrigation estimation, soil and environmental monitoring, food supply chain and field monitoring. The current architecture of IoT is mainly centralized and single-point controlled; thereby opening up privacy and security lapses. Several approaches have favoured advanced data encryption to preserve privacy during transmission or storage. The debilitating challenges of IoT systems sparingly reported in previous works include: security of physical/logical components; software/hardware interoperability; high energy requirements; low processing/storage capacity, and network architecture/scalability. This paper comparatively studied encryption modes of Chaining Block Code (CBC) and Galois Counter Mode (GCM) based on hybrid algorithm of SHA1-256 and AES246 (known as SHA-AES scheme) towards preserving privacy of IoT data. The outcomes revealed that, the SHA-AES scheme based on CBC was better in terms of speed - encryption (8.34%) and decryption (43.42%); storage consumption - secret key sizes (50.00%) and ciphertext sizes (26.88%) against GCM. This implies that, the GCM approach offers the highest privacy protection but, less effective due to sluggish speed and high memory utilization. Also, strong cryptographic schemes interleaved with CBC and GCM hardening schemes offered improved confusion state, diffusion state, complexity, and performances. Future works could consider modifying the complex processes of GCM approach by minimizing key generation time to support resource-constrained devices.","PeriodicalId":185729,"journal":{"name":"2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)","volume":"108 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":"121954784","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}
B. E. Tokula, A. O. Dada, A. A. Inyinbor, C. Aremu, K. S. Obayomi, Olarewaju D. Adewumi, F. A. Adekola, J. Ojediran
{"title":"Preparation, Physicochemical and Spectroscopic Characterization of Low-Cost Acid Functionalised Rice Husk Activated Carbon (AF-RHAC)","authors":"B. E. Tokula, A. O. Dada, A. A. Inyinbor, C. Aremu, K. S. Obayomi, Olarewaju D. Adewumi, F. A. Adekola, J. Ojediran","doi":"10.1109/SEB-SDG57117.2023.10124611","DOIUrl":"https://doi.org/10.1109/SEB-SDG57117.2023.10124611","url":null,"abstract":"The estimated 500 million tons of rice husk produced yearly around the world are frequently burned or carelessly dumped into bodies of water. However, rice husk can be transformed into inexpensively practical adsorbents with distinctive adsorption properties for the absorption of various pollutants. To achieve this, conversion of rice husk into activated carbon is required to increase its adsorption capacity. This paper reports the preparation, physicochemical and spectroscopic characterization of acid functionalized rice husk (AF -RHAC). AF-RHAC was successfully prepared by carbonization and chemical activation using 1 M orthophosphoric acid (H3PO4) for 1 hr at 400 °C. The adsorbent was characterized by series of physicochemical techniques such as ash and moisture content, volatile matter, Boehm titration, surface area determination using sears method, Iodine number, Scanning Electron Microscopy (SEM) to ascertain the surface morphology, the surface functional group determined via Fourier Transform Infrared (FTIR) and X-ray Diffraction (XRD) analysis was applied to ascertain the adsorbents elemental composition. The physicochemical parameters showed pH values of (6.83), pHpzc (6.21), bulk density (0.48), moisture content (8.45 %), ash content (18.45 %), volatile matter (32.31 %) and iodine number (553.72). The SEM images showed the existence and availability of pores on the adsorbents surface which acts as adsorption sites. FTIR revealed presence of functional groups for effective adsorption and XRD results revealed the materials structure of AF-RHAC.","PeriodicalId":185729,"journal":{"name":"2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)","volume":"100 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":"121982192","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}