2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)最新文献

{"title":"Development of an Internet of Things Based Fire Detection and Automatic Extinguishing System for Smart Buildings","authors":"A. Akinwumi, Folarin Folaranmi","doi":"10.1109/SEB-SDG57117.2023.10124381","DOIUrl":"https://doi.org/10.1109/SEB-SDG57117.2023.10124381","url":null,"abstract":"Fire detectors and extinguishing systems are used for many purposes such as discovering the onset of fire outbreak, reporting outbreaks to concerned parties, managing risk, and as well as notifying the fire department and controlling the negative outcome of fire. This paper focuses on early fire detection and an extinguishing system, which aims to measure and detect anomalies of some specific variables that we found insightful (such as temperature, gas leakage, smoke) which can cause fire outbreaks in homes, offices etc. Notifications are sent to the registered number or desired personnel in charge VIA a push bullet application software and WhatsApp messages with the help of an online API system to inform them about possible fire outbreak on their properties while they are away from the building and also triggers the extinguishing system to stop the anomalies before or during the outbreak. This fire alarm is developed with a Node MCU ESP8266 board which support a Wi-Fi module, and other passive and active components. The board is controlled by a software program. It is used to monitor and perceive the environment for the onset of fire outbreak through the flame, smoke or gas, as well as temperature sensors. It helps to detect the possibility of fire outbreak from the first few seconds while a warning is generated by the system through text notification alert to the numbers registered via the WI-FI module using internet of things; simultaneously a DC fan is activated to reduce and put out both the temperature and fire respectively. In the end deploying this system reduced the risk of actual fire occurrence by 90% which is a good starting point for future improvement on system efficiency of the developed technique.","PeriodicalId":185729,"journal":{"name":"2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)","volume":"60 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":"133260184","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":"Mobile-Based Deep Learning for Yam Disease Diagnosis","authors":"Azeez Olawale Akinlolu, O. A. Odejobi, F. Ajayi, E. R. Jimoh","doi":"10.1109/SEB-SDG57117.2023.10124483","DOIUrl":"https://doi.org/10.1109/SEB-SDG57117.2023.10124483","url":null,"abstract":"In many nations, tuber crops are crucial for both food security and the economy, constituting the staple diet for the Masses. Diseases make crops deviate from their normal growth, reducing crop yield and production. West Africa's yam productivity (yield) declined by 18.74% between 2009 to 2019, while productivity (yield) in Nigeria decreased by 23.47% between 2009 and 2019. Hence the need to build an intelligent system to assist crop growers to improve yields. The Convolution Neural Networks (CNN) deep learning model was used in this study to develop an intelligent mobile-based system for detecting Yam diseases. It was shown using a JAVA/XML Graphical User Interface (GUI). Three disease categories, namely Yam Anthracnose, Yam Mosaic Virus and Healthy were used in this study. The test data's total accuracy was 81.7%. Yam growers can utilize the GUI application program because it was designed to be user-friendly.","PeriodicalId":185729,"journal":{"name":"2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)","volume":"20 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":"133339877","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":"Assessment of the Effects of Bathroom Effluents on the Soil in Halls of Residence, Landmark University, OMU-ARAN, Nigeria","authors":"Olugbenga Oluseun Elemile, O. P. Ejigboye, Enoch Mayowa Ibitogbe, O. Folorunso, E. O. Ajayi, O. Adeniyi, C. Akogwu, E. Dogara, Z. Geo-needam, D. Okoli","doi":"10.1109/SEB-SDG57117.2023.10124481","DOIUrl":"https://doi.org/10.1109/SEB-SDG57117.2023.10124481","url":null,"abstract":"Bathroom effluents generated mainly in residential areas have been documented in previous studies to have harmful effects on the soil media but there is little information about the level of contamination by bathroom effluents on the soil media in the case of a large-scale residential area like the Hostels considered in this study. In this study, soil samples were examined for potential contamination with physicochemical, heavy metal, and biological parameters from different points at $boldsymbol{a}$ close range in selected adversely polluted areas in each of the Eight hostels as well as the football field as the control location at Landmark University, Omu-Aran, Nigeria. A total number of 60 Soil samples were collected from the nine sampling locations on Monday and Friday for three consecutive weeks. The standard methods were used to determine the physicochemical parameters from the soil samples. The analysis of data was carried out using descriptive statistics and ANOVA. The mean concentration of parameters in the observed soil samples around the study area ranged from $boldsymbol{6.02}pm boldsymbol{1.00}$ to $boldsymbol{132.75}pm boldsymbol{103.19} boldsymbol{mg/L}, boldsymbol{6.80}pmboldsymbol{0.10}$ to $boldsymbol{8.81pm 0.58} boldsymbol{mg/L,} boldsymbol{34.00}pm boldsymbol{11.59-135.03pm 19.69} boldsymbol{mg/L}, boldsymbol{5.83pm 1.55-26.55pm 5.16 mg/L, 57.04pm 28.22-139.41pm 19.39} boldsymbol{mg/L}$ for electrical conductivity, $boldsymbol{pH}, boldsymbol{TSS}, boldsymbol{TDS}, boldsymbol{TS}$ respectively. Chloride, Nitrate, Calcium, Magnesium and Phosphate had values of $boldsymbol{34.17}pmboldsymbol{0.12}$ to $boldsymbol{82.00}pm boldsymbol{30.31} boldsymbol{mg/L}, boldsymbol{0.567}pmboldsymbol{0.11}$ to $boldsymbol{1.17} pmboldsymbol{0.50} boldsymbol{mg/L},boldsymbol{0.00 pm 0.00-0.00 pm 0.00}boldsymbol{mg} / boldsymbol{L} ,boldsymbol{1.33}pmboldsymbol{0.40}-boldsymbol{2.5}pmboldsymbol{0.48}boldsymbol{mg/L},boldsymbol{6.67}pm boldsymbol{2.16}- boldsymbol{18.00pm 56} mg/boldsymbol{L}$, and $boldsymbol{0.37}pmboldsymbol{0.12}$ to $boldsymbol{0.97}pmboldsymbol{0.38} boldsymbol{mg/L}$ respectively. However, average values for heavy metals (Ni, $boldsymbol{Cr}, boldsymbol{Fe}, boldsymbol{Co}$, As and Pb) though slightly higher than the control site, were above permissible limits. The surrounding arable soils are significantly impacted by anthropogenic activities in university dormitories, hence sustainable pollution control measures should be used for bathroom wastewater in those regions.","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":"114692119","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":"Product Verification using Blockchain Technology: A Systematic Review","authors":"Emmanuel O. Igbekele, Joshua Aideloje, Abayomi Adebiyi, A. Adebiyi","doi":"10.1109/SEB-SDG57117.2023.10124602","DOIUrl":"https://doi.org/10.1109/SEB-SDG57117.2023.10124602","url":null,"abstract":"Diverse products have flooded so many markets today through unscrupulous vendors all in a bid to make outrageous profits. Hence, the need for products to be verified by extant bodies. There are several means for products to be verified, however, some of those means have also been circumvented. The use of blockchain technology to prevent product replication in supply chain management is a rapidly growing area of research and development. With its features of immutability and decentralization, blockchain technology has the potential to provide secure and tamper-proof tracking and verification of products. This systematic review aims to examine the existing research on the use of blockchain technology in preventing product replication and to identify the effectiveness and challenges of its implementation in industry. The review show that while blockchain technology holds significant potential in preventing product replication, its effectiveness compared to traditional methods and implementation challenges must be addressed.","PeriodicalId":185729,"journal":{"name":"2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)","volume":"29 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":"116254064","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":"Towards the Development of a Smart Parking System for Highly Populated Cities","authors":"R. Ogundokun, Elijah Iseoluwa Soladoye, E. Asani, Oladipupo Akande, Oluwaseun Joshua Ishola, Oyinkansola Akinwumi, C. Aremu, A. N. Babatunde","doi":"10.1109/SEB-SDG57117.2023.10124575","DOIUrl":"https://doi.org/10.1109/SEB-SDG57117.2023.10124575","url":null,"abstract":"Thanks to innovative sensing systems for smart cities that integrate the future into the present, civilization is through one of its brief transitional phases. The congestion of urban areas necessitates the creation of an adaptable strategy formulation that integrates architecture, creativity, and technology to accommodate paradigm change. A unique sensor approach that is the foundation of a smart parking system (SPS) is provided to enhance accessibility in municipalities with an increasing vehicle pool. The SPS consists of a small single-board computer, a proximity sensor, a camera, a LED indication, a buzzer, and a battery and is designed to determine the availability of a parking spot. This smart transportation technology comprises three major components, specifically sensors, a mobile application, and a monitoring centre, all of which collaborate to monitor, regulate, analyze, and show real-time parking spot information to drivers. Also, the design and execution of the three components of the overall system are shown.","PeriodicalId":185729,"journal":{"name":"2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)","volume":"44 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":"123107083","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":"Suppression of Alkali- Silica Reactions in Concrete by Partially Replacing Cement with Cassava Peel Ash","authors":"Joseph Adeniyi Ajayi, Abu James Gana, G. Ayinnuola, A. Adanikin, E. Faleye, Oyinade Popoola","doi":"10.1109/SEB-SDG57117.2023.10124626","DOIUrl":"https://doi.org/10.1109/SEB-SDG57117.2023.10124626","url":null,"abstract":"Concrete is a man-made composite material having mechanical qualities similar to lime stone pebbles found in nature. A reaction known as Alkali- Silica Reactions (ASR), however, diminishes the durability of concrete structures. Researchers have suggested that replacing a portion of the Portland cement in concrete with pozzolans is an effective strategy to prevent ASR. Much study has been done on how to decrease the incidence of ASR in concrete utilizing various supplementary cementitious materials. One area where there is a knowledge gap and not much has been explored is the function of cassava peel ash (CPA) in reducing the occurrence of ASR in Concrete. This study investigates the use of Cassava peel ash (CPA) in replacing cement to suppress (ASR) in concrete. Cassava peels were dried before being burned for 90 minutes at 850°C in an electric furnace. Concrete samples with water cement ratio of 0.65 were produced with a 1:1:2 mix ratio at 0%,5%, 10%, 15%,20%, and 30% CPA replacement. A set of samples of 30 x 30 x 150mm was cured in NaOH appropriately for ASR evaluation and another set of 150 x 150 x 150mm was used for water and acid solubility test. X-ray fluorescence (XRF) spectroscopy was used to determine CPA's elemental makeup. At 0%, 5%, 10%, 15%, 20%, and 30% CPA replacement levels, the concrete expansion values are 0.039mm, 0.025mm, 0.013mm, 0.027mm, 0.04mm, and 0.056mm on the 28th day. According to the findings, replacing 10% of cement with CPA had the greatest effect on alkali- silica reactivity and might be used to manage alkali- silica reactions in concrete.","PeriodicalId":185729,"journal":{"name":"2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)","volume":"50 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":"123351388","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":"Overview of Green Tribology in Recent World: Fundamentals and Future Development","authors":"J. Kayode, S. L. Lawal, S. Afolalu","doi":"10.1109/SEB-SDG57117.2023.10124520","DOIUrl":"https://doi.org/10.1109/SEB-SDG57117.2023.10124520","url":null,"abstract":"This study centres on green tribology based on its ecological stability, environmental and biological implications. Green tribology focuses on the science and technology of low energy use, lower carbon emission, lesser environmental cost, and high standard of living $(3l+1h)$. This leads to the reduction of natural impact on the human mobility, energy assurance and innocuous to the biological system tribology. The 12 green tribology norms, green machines building guidelines and green principles are considered in this research. Results show the competitive comparative analysis of green tribology with green chemistry and green engineering. It fosters diminish power and energy disaster, wear minimization, carbon neutrality, biometric strategies, coatings and control over surfaces attributes, surface alteration, and application for viable energy. Green tribology goals are put in place to guarantee that tribological operations have a minimal effect on human health and the environment. Therefore, its tenets are thus summarized in lessen heat and energy loss, no or self-lubrication, and prevent environmental contamination which fulfil the objectives of protecting the environment, cut emissions and shock resistance, and increase energy efficiency.","PeriodicalId":185729,"journal":{"name":"2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)","volume":"19 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":"124915181","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":"Towards the Integration of Iris Biometrics in Automated Teller Machines(ATM)","authors":"Oluwatobi Fowora, O. Okesola, A. Adebiyi, Marion O. Adebiyi","doi":"10.1109/SEB-SDG57117.2023.10124646","DOIUrl":"https://doi.org/10.1109/SEB-SDG57117.2023.10124646","url":null,"abstract":"Automated teller machines (ATMs) are now available almost everywhere, and for their ubiquity, they are being used casually with less attention to the security implication. Banks are getting concerned now with securing ATM transactions but all the proposals to combat the potential risks have not been effective. Integration of Iris Biometric System is hereby considered in this study to authenticate and verify the customers' identity. ATM plastic card is inserted into the ATM and an accurate combination of the customer's Personal Identification Number (PIN) and Iris biometric is matched with the host system at the bank. A successful match of these verification and authentication mechanisms grants the customers logical access into their individual account. The performance analysis shows that an improved ATM security against fraud and criminality is possible with the deployment of an iris biometrics scanner to confirm users.","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":"123624138","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":"Statistical Analysis of Rebound Hammer Assessment on Reinforced Concrete Buildings","authors":"A. D., A. O, Arum C., Alabi S. A.","doi":"10.1109/SEB-SDG57117.2023.10124607","DOIUrl":"https://doi.org/10.1109/SEB-SDG57117.2023.10124607","url":null,"abstract":"This research explores the use of non-destructive equipment (Schmidt Rebound Hammer) to investigate the state of reinforced concrete buildings. A total of 138 Slabs, 266 Beams and 210 Columns were assessed as structural elements spread across six (6) different buildings. The columns, beams and slabs for the residential buildings have overall mean rebound compressive strength of 26.15 N/ mm2 20.18 N/ mm2 and 32.2 N/mm2 respectively. For the institutional buildings, the overall average rebound compressive strength for the columns, beams and slabs is 25.71 $N$/ mm2, 27.22 N/mm2 and 34.92 N/mm2 respectively. The columns, beams and slabs for the industrial buildings have overall mean rebound compressive strength of 30.27N/mm2, 24.23N/mm2 and 39.87N/ mm2 respectively. Rebound compressive strength values reduce as the height of the building increases. The standard deviation and coefficient of variance for a set of structural elements in the buildings showed high level of uncertainties and disparities which is an established factor in the use of the rebound hammer. This is a clear indication that a more robust method of analysis is needed for the interpretation and drawing of conclusions from the rebound hammer assessment.","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":"122853078","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 comparative study of selected machine learning algorithms for cyber threat detection in open source data","authors":"M. O. Adebiyi, Mary O. Ajayi, F. Osang, A. Adebiyi","doi":"10.1109/SEB-SDG57117.2023.10124615","DOIUrl":"https://doi.org/10.1109/SEB-SDG57117.2023.10124615","url":null,"abstract":"Threat actors are developing and evolving new tools to quickly leverage the loopholes and vulnerabilities in security systems. Open sources are frequently used by these malicious threat actors to exchange their Tactics, Techniques, and Procedures (TTP) to attack devices. Cybersecurity professionals have a huge amount of threat data available on these open sources making it difficult to utilize and share. Humans can easily differentiate the useful and relevant information but it is daunting when the data is large with limited time hence the need to automate the process. The objective of this research is to carry out a comparative analysis on the performance of four machine learning algorithms (Decision Tree, Logic Regression, Random Forest and Naïve Bayes) to help cybersecurity professionals in making decision on the most suitable algorithm to analyze cyber threat intelligence dataset. The dataset used in this research work contains 48,000 objects. The evaluation metrics used for the comparative analysis in this study are accuracy, precision, recall and F1 score of the algorithms. The experimental results of this research work showed that Random Forest algorithm had the highest performance with an accuracy score of 97.16% which was followed by Decision Tree algorithm with an accuracy of 97.08%, Naïve Bayes classifier also had an accuracy of 93.92 % while the Logistic Regression classifier had the least score of all the four algorithms with an accuracy of 80.15%. Prospective researchers can learn from the findings of this work in order to come up with newer and enhanced algorithms, which can be useful in decision making for cyber security experts.","PeriodicalId":185729,"journal":{"name":"2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)","volume":"5 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":"123850892","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}