2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)最新文献_第5页

Border Control via Passport Verification using Fingerprint Authentication Technique 使用指纹认证技术进行护照验证的边境管制

2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG) Pub Date : 2023-04-05 DOI: 10.1109/SEB-SDG57117.2023.10124584

Oladele Tinuke Omolewa, Emmanuel Jadesola Adeioke, O. Titilope, Adewole Kayode Sakarivan, A. Kehinde

{"title":"Border Control via Passport Verification using Fingerprint Authentication Technique","authors":"Oladele Tinuke Omolewa, Emmanuel Jadesola Adeioke, O. Titilope, Adewole Kayode Sakarivan, A. Kehinde","doi":"10.1109/SEB-SDG57117.2023.10124584","DOIUrl":"https://doi.org/10.1109/SEB-SDG57117.2023.10124584","url":null,"abstract":"Security of lives and properties is of high essence to a nation's growth and development. With the increase of global terrorist invasions, levels of national internal border security need to be increased. Thus, the need to deploy technologies such as biometric for further fortification cannot be underrated. Research has shown that biometrics technology - as an authentication technique has a broad-spectrum application in fields ranging from banking, medicine, airlines and so on. Unlike the conventional means of security checks, which basically entail physical/manual verification. Biometric techniques such as Face recognition, Fingerprint, DNA are more reliable and capable of uniquely identifying individuals in the verification process. The porous nature of the nation's border enables unauthorized immigrants gain access to the country which poses a high level of security threat. In this paper, a biometric based border control system is developed to reduce the rate of illegal immigrants into the country. C# programming language was employed to implement the proposed biometric based border control system. The various stages of biometric authentication were incorporated. The proposed system is recommended for controlling illegal immigrants at the Nigerian border.","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":"129264784","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}

引用次数: 0

Self-Assessment Chatbot for COVID-19 prognosis using Deep Learning-based Natural Language Processing (NLP) 基于深度学习的自然语言处理(NLP)自评估聊天机器人预测COVID-19

2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG) Pub Date : 2023-04-05 DOI: 10.1109/SEB-SDG57117.2023.10124619

Eki Thwala, AA Adegun, M. Adigun

{"title":"Self-Assessment Chatbot for COVID-19 prognosis using Deep Learning-based Natural Language Processing (NLP)","authors":"Eki Thwala, AA Adegun, M. Adigun","doi":"10.1109/SEB-SDG57117.2023.10124619","DOIUrl":"https://doi.org/10.1109/SEB-SDG57117.2023.10124619","url":null,"abstract":"Chatbots are computer programs that communicate with humans using natural language processing. Conversational programming is the most crucial part of the development of a chatbot. Existing chatbots are based on simple rule-based techniques. They are therefore limited in terms of functionality, context, and coherence, with narrow domains. Some of these systems also lack flexibility and do not emulate actual human conversation. The available chatbots use machine learning algorithms to answer questions and have structured conversations. However, they lack flexibility and do not emulate actual human conversation. The study proposes a chatbot that will help users self-diagnose symptoms related to COVID-19. Even today, the creation of a good chatbot model remains a significant challenge in Natural Language Processing (NLP) using Machine Learning (ML). This study suggests a newly developed method of creating a chatbot by using deep learning: The Recurrent Neural Network (RNN) will be used to model sequence data since it is modeled after the functionality of the human brain. Based on the classification of the available response classes, this study outputs both the chatbot response and the probability value. The system achieves a response time of 0.3 seconds and an accuracy of 95.35%. The study suggests a newly developed method of creating a chatbot by using deep learning with multiple processing layers, the deep learning approach provides better learning for chatbots to make intelligent decisions. Deep learning-based NLP chatbots result in better text classification accuracy with the ability to understand sarcasm, humor, and conversations better.","PeriodicalId":185729,"journal":{"name":"2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)","volume":"12 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":"129535165","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}

引用次数: 0

Free Radical-Scavenging and Oxidative Hepatic Injury-Alleviating Properties of Azadirachta Indica Seed Protein Isolate and Hydrolysates 印楝种子蛋白分离物和水解物清除自由基和减轻氧化性肝损伤的特性

2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG) Pub Date : 2023-04-05 DOI: 10.1109/SEB-SDG57117.2023.10124554

M. A. Acho, Ruth Oluwaseun Olsehinde, A. G. Oluwafemi, C. Nwonuma, R. Arise

{"title":"Free Radical-Scavenging and Oxidative Hepatic Injury-Alleviating Properties of Azadirachta Indica Seed Protein Isolate and Hydrolysates","authors":"M. A. Acho, Ruth Oluwaseun Olsehinde, A. G. Oluwafemi, C. Nwonuma, R. Arise","doi":"10.1109/SEB-SDG57117.2023.10124554","DOIUrl":"https://doi.org/10.1109/SEB-SDG57117.2023.10124554","url":null,"abstract":"The antioxidant and hepatoprotective activities of Azadirachta indica (neem) seed protein hydrolysates were investigated. Neem seed protein isolate (NSPI) was enzymatically hydrolyzed using pepsin, pancreatin, and trypsin. Oxidative hepatic injury (OHI) was induced using 0.1 mM FeSO4. Treatment was carried out through co-incubation of the oxidative hepatic tissues with NSPI and its hydrolysates. The tissues were analyzed for glutathione (GSH), nitric oxide (NO) and malondialdehyde (MDA) levels as well as catalase (CAT), superoxide (SOD) and acetylcholinesterase (AChE) activities. The pepsin hydrolysate (PNSPH) had a higher degree of hydrolysis (DH) and peptide yield compared to pancreatin and trypsin. The PNSPH had a more potent 2,2-diphenylpicrylhydrazyl (DPPH) and SOD scavenging activities than the other protein hydrolysates, whereas, it had a weak ferric reducing power (FRAP). The $boldsymbol{2,2}^{prime}-mathbf{azino-bis}$ (3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) scavenging activity of the pepsin, pancreatin, and trypsin hydrolysates were not significantly different from each other. Induction of OHI significantly $(mathbf{p} < boldsymbol{0.05})$ reduced GSH concentration, CAT, and SOD activities whereas the levels/activities of MDA, NO, and AChE increased. Treatment with NSPI and its hydrolysates with varying capacities, significantly reversed these levels/activities. The results implies that neem seed protein hydrolysates possess antioxidant activities and ameliorative effects against iron-induced oxidative hepatic injury by modulating oxidative imbalance and cholinergic activity. Hence, neem seed protein hydrolysates may be a potential nutraceutical in the control of oxidative stress and its related complications.","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":"131593688","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}

引用次数: 0

Sustainable Business Model for Long-Range Wireless Wide Area Based Internet of Things Network: The Heterogeneous approach 基于远程无线广域的物联网可持续商业模式:异构方法

2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG) Pub Date : 2023-04-05 DOI: 10.1109/SEB-SDG57117.2023.10124648

O. Agbolade, S. Oyetunji, F. Dahunsi

引用次数: 4

Injection of Reactive Power Support for Enhanced Performance of Radial Distribution Network 注入无功支持提高径向配电网性能

2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG) Pub Date : 2023-04-05 DOI: 10.1109/SEB-SDG57117.2023.10124493

O. Olabode, T. Ajewole, I. Okakwu, D. Akinyele, F. Ariyo

{"title":"Injection of Reactive Power Support for Enhanced Performance of Radial Distribution Network","authors":"O. Olabode, T. Ajewole, I. Okakwu, D. Akinyele, F. Ariyo","doi":"10.1109/SEB-SDG57117.2023.10124493","DOIUrl":"https://doi.org/10.1109/SEB-SDG57117.2023.10124493","url":null,"abstract":"One of the most common occurrences with customers connected to radial feeders most especially customers at the far of the network is the issue of low voltage supply due to excessive real power loss along the feeder route length and these issues have adverse effects on the effective functioning of the end users connected pieces of electrical equipment. The use of reactive power support for minimization of loss on the radial feeder and also enhancement of the system voltage profile has proven to be beneficiary in releasing the feeder capacity and enhancing the performance of the network under light and heavy load conditions. Premise on this, this work proposed the utilization of shunt capacitors as reactive power support using Thinker's corner 34-bus radial feeder as a test case system. The backward forward stroke was used for load flow, the voltage stability index was used for the pre-selection of vulnerable buses susceptible to voltage collapse while the Cuckoo search algorithm was engaged as an optimization algorithm for selecting the best sites and sizes where the inclusion of the reactive support will be most beneficiary to the system. The optimal sites selected are buses 30, 27, and 24 while the optimum size of shunt capacitors placed at these locations are 1000, 200, and 58.04 kVAr respectively. The inclusion of shunt capacitors appreciably dropped the active power loss (kW) to 22.46% which implies that the base case loss enjoys a reduction from 245.41 to 190.28 kW. Also, the bus where the least voltage magnitude was observed experienced a substantial increment from 0.9361 to 0.9435 p.u which is equivalent to 0.79% enhancement. Similarly, system stability was found to improve judging from VSI value shortly after the incorporation of reactive power support. The techniques implemented in this work can effectively strengthen the network performance appreciably.","PeriodicalId":185729,"journal":{"name":"2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)","volume":"166 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":"121464090","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}

引用次数: 0

Web Page Prediction Model using Machine Learning Approaches: A Review 使用机器学习方法的网页预测模型综述

2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG) Pub Date : 2023-04-05 DOI: 10.1109/SEB-SDG57117.2023.10124586

P. A. Omosebi, A. P. Adewole, Oladipupo A. Sennaike

{"title":"Web Page Prediction Model using Machine Learning Approaches: A Review","authors":"P. A. Omosebi, A. P. Adewole, Oladipupo A. Sennaike","doi":"10.1109/SEB-SDG57117.2023.10124586","DOIUrl":"https://doi.org/10.1109/SEB-SDG57117.2023.10124586","url":null,"abstract":"Webpage classification and prefetching are essential techniques to reduce internet access latency. However, insufficient server resources and network bandwidth can lead to inefficient usage when the majority of the prefetched web pages are not visited during subsequent visits. To address this issue, accurate prediction during prefetching is crucial. Existing research has shown that usage data and user navigation can be tracked using methods like Markov models to predict the most popular web paths, leading to more accurate classification and prefetching of web pages. However, accurately classifying web pages remains a challenging task due to the uncontrolled nature of web content, and the need to classify hypertext that is linked through HTML tags and URLs. This study presents several methods to improve the accuracy of machine learning algorithms for classifying web pages. By combining different results, we show how our approach can enable increase in the performance of classification of web page and prefetching. Our findings can lead to the development of more efficient and accurate webpage classification and prefetching algorithms, resulting in reduced internet access latency, which is of great relevance to internet users and providers alike.","PeriodicalId":185729,"journal":{"name":"2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)","volume":"45 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":"127767496","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}

引用次数: 0

Numerical Modeling and Investigation of Flow of Incompressible Non-Newtonian Fluids through Uniform Slightly Deformable Channel 不可压缩非牛顿流体在均匀微变形通道中的流动数值模拟与研究

2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG) Pub Date : 2023-04-05 DOI: 10.1109/SEB-SDG57117.2023.10124471

O. O. Alabi, O. Adeaga, S. Akintola

{"title":"Numerical Modeling and Investigation of Flow of Incompressible Non-Newtonian Fluids through Uniform Slightly Deformable Channel","authors":"O. O. Alabi, O. Adeaga, S. Akintola","doi":"10.1109/SEB-SDG57117.2023.10124471","DOIUrl":"https://doi.org/10.1109/SEB-SDG57117.2023.10124471","url":null,"abstract":"Numerical investigations of peristaltic flow of three non-Newtonian viscous fluids arising within modelled gut were performed to show their thermal and hydrodynamic behaviour in the gut. A 3-D numerical model of the human intestine was derived using Autodesk Inventor 2017 and simulated using ANSYS FLUENT 16.0. Thyme and produced Ogi, Soymilk and Sobo are considered working fluids. The density and viscosity of the produced fluid were determined experimentally, while the density and viscosity of the digester were obtained from previous work. The results of the experiments carried out showed that the densities of the produced fluid supplements were; 1024 $kg/m^{3},920kg/m^{3}$ and 800 $kg/m^{3}$ for Ogi, soybean milk and sobo respectively; their equivalent viscosities were; 1.095 $Pa.s, 0.95$ Pa.s, and 0.316 $Pa.s$. From the results, it can be seen that the velocity behaviour of the four fluids is similar, as is the thermal behaviour. The results also showed that at inlet velocity of 0.005 $m/s, Ogi$ had the largest pressure change of 25 $Pa$ and a heat transfer of $Nu=9$, while sobo had the smallest heat transfer of $Nu=9$ among the three fluid supplements produced. $Nu=5$.","PeriodicalId":185729,"journal":{"name":"2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)","volume":"392 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":"127591203","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}

引用次数: 0

Analysis of Quantile Regression as an Alternative to Multiple Linear Regression: (A Case Study of Birth Weight Data) 分位数回归替代多元线性回归的分析(以出生体重数据为例)

2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG) Pub Date : 2023-04-05 DOI: 10.1109/SEB-SDG57117.2023.10124638

Sidi Zibokeyerin Geoffrey, S.E Obamiyi, B. Badeji-Ajisafe, Bose Ayogu, Kehinde Abiola, O. B. Abiola

{"title":"Analysis of Quantile Regression as an Alternative to Multiple Linear Regression: (A Case Study of Birth Weight Data)","authors":"Sidi Zibokeyerin Geoffrey, S.E Obamiyi, B. Badeji-Ajisafe, Bose Ayogu, Kehinde Abiola, O. B. Abiola","doi":"10.1109/SEB-SDG57117.2023.10124638","DOIUrl":"https://doi.org/10.1109/SEB-SDG57117.2023.10124638","url":null,"abstract":"The study examine the Quantile Regression (QR) and Multiple Regression (MR) using birth-weight data. The data was first subjected to heteroskedasticity test, and it was concluded that there is existence of heteroskedasticity in the data for the study. The result of fitting an Ordinary Least Square (OLS) regression as well as the result from the QR shows that the estimated coefficient for the gestation positive and has significant impact of this variable on birth weight. The multiple regression model of four explanatory variables, viz: Mother age, Parity, Gestation and maternal height and the response variable (Baby Weight) was first fitted with the coefficient of determination of 65.58%. The test on the significance of the parameters for the multiple regression revealed that all the predictor variables are significant at 5% level of significance, except parity. This means that gestation, mother's age, and maternal height contributed significantly to the baby weight.","PeriodicalId":185729,"journal":{"name":"2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)","volume":"42 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":"132765054","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}

引用次数: 0

A Comparative Performance Study of Support Vector Machine, KNN, and Ensemble Classifiers on through-wall human detection Dataset 支持向量机、KNN和集成分类器在穿墙人体检测数据集上的性能比较研究

2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG) Pub Date : 2023-04-05 DOI: 10.1109/SEB-SDG57117.2023.10124476

Jiya Adama Enoch, Ilesanmi Banjo Oluwafemi, Olulope K. Paul, F. Ibikunle, Osaji Emmanuel, Ariba Folashade Olamide

{"title":"A Comparative Performance Study of Support Vector Machine, KNN, and Ensemble Classifiers on through-wall human detection Dataset","authors":"Jiya Adama Enoch, Ilesanmi Banjo Oluwafemi, Olulope K. Paul, F. Ibikunle, Osaji Emmanuel, Ariba Folashade Olamide","doi":"10.1109/SEB-SDG57117.2023.10124476","DOIUrl":"https://doi.org/10.1109/SEB-SDG57117.2023.10124476","url":null,"abstract":"There is a chance that many injured people will be present in the disaster area when natural disasters happen. To lower the death rate, rescue workers must provide these injured people with assistance as soon as they can. In search and rescue (SAR) operations, distance estimation, position determination, and classification criteria are all equally crucial, the accuracy of each would be impacted by a decrease in the other. Rescue crews have used a variety of methods and approaches to anticipate and find victims in unsafe, collapsed building structures. Classification algorithms have shown a dynamic capacity to acquire key dataset properties by utilizing just a few sample sets, thanks to the recent development of machine learning methods. The detection of a human target's state behind a wall in diverse samples is the main topic of this work. Here, SVM, KNN, and Ensemble algorithms are selected in the machine learning model to categorize and recognize human targets behind walls. The classification algorithms can derive clear data-feature representations by automatically learning about the dataset's innate characteristics. The performance of the classifier was used to extract more effective feature representations. The classification and identification of the behind-the-wall human-target states were separately carried out, and then the results were compared with those of other classification algorithms. The outcome demonstrates that the use of KNN with 85% accuracy outperforms other classifiers (SVM 81% and Ensemble 81%) and is more effective for the prediction of human targets behind walls. This work may help with human identification during search and rescue efforts after a disaster.","PeriodicalId":185729,"journal":{"name":"2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)","volume":"158 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":"132300864","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}

引用次数: 0

Design and Fabrication of a Prototype Automated Railway Gate Controller 铁路自动闸门控制器样机的设计与制造

2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG) Pub Date : 2023-04-05 DOI: 10.1109/SEB-SDG57117.2023.10124384

B. Adaramola, A. Adetunla, Joseph Kayode, Chigozie Okoronkwo

引用次数: 0