Journal of Applied Science, Information and Computing最新文献_第3页

Prediction of the Price of Cement in South Western Part of Nigeria: A Machine Learning Approach 尼日利亚西南部水泥价格预测:一种机器学习方法

Journal of Applied Science, Information and Computing Pub Date : 2022-06-20 DOI: 10.59568/jasic-2022-3-1-06

D. O. Olanloye, C. Umezuruike, O. Emuoyibofarhe, D. A. Omideyi

{"title":"Prediction of the Price of Cement in South Western Part of Nigeria: A Machine Learning Approach","authors":"D. O. Olanloye, C. Umezuruike, O. Emuoyibofarhe, D. A. Omideyi","doi":"10.59568/jasic-2022-3-1-06","DOIUrl":"https://doi.org/10.59568/jasic-2022-3-1-06","url":null,"abstract":"Cement is one of the essential products that is needed in various construction works. It has been found very useful in the construction of houses, roads, bridges etc. In Nigeria the price of cement was quite stable in 1970’s and 1980’s. Recent market survey indicated that the price is on a very high side to the extent that it is almost becoming impossible for average Nigerians to have their own apartments where they can lay their heads after the daily activities. To the best of our knowledge, literature reveals that no attempt has been made to predict the price of cement in Nigeria, using Machine Learning (ML) models. Those that attempted it, mostly focused on statistical approach. In this research work, a machine learning model was used to predict the price using exponential regression model. Our method was compared with the existing ones and the performance is better. It produced the least Mean Squared Error (MSE) of 1.5455 and the percentage errors during the training were quite minimum. It was finally predicted that by the 2050, the price of 50kg bag of cement will be about ₦50,000 if government do not take necessary actions. This research work will be an eye opener to the government and other stakeholders.","PeriodicalId":167914,"journal":{"name":"Journal of Applied Science, Information and Computing","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122667877","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

Investigating The Effect Of Salmonella Discharge From Carrier Individuals In An Epidemic Model Of Typhoid Fever 伤寒流行模型中沙门氏菌对携带者个体排放影响的研究

Journal of Applied Science, Information and Computing Pub Date : 2022-06-20 DOI: 10.59568/jasic-2022-3-1-05

M. Kolawole, K. Bashiru, M. Ogunniran, A. Popoola

引用次数: 0

THE USE OF A MACHINE LEARNING ALGORITHM, AND ARTIFICIAL NEURAL NETWORK (ANN) TO PREDICT HEPATITIS B VIRUS (HBV) 利用机器学习算法和人工神经网络(ann)预测乙型肝炎病毒(hbv)

Journal of Applied Science, Information and Computing Pub Date : 2022-06-20 DOI: 10.59568/jasic-2022-3-1-08

Ibrahim Douglas, J. Ayuba, Richard Kodeke Christopher

{"title":"THE USE OF A MACHINE LEARNING ALGORITHM, AND ARTIFICIAL NEURAL NETWORK (ANN) TO PREDICT HEPATITIS B VIRUS (HBV)","authors":"Ibrahim Douglas, J. Ayuba, Richard Kodeke Christopher","doi":"10.59568/jasic-2022-3-1-08","DOIUrl":"https://doi.org/10.59568/jasic-2022-3-1-08","url":null,"abstract":"Hepatitis B is a liver infection caused by the hepatitis B virus (HBV). It might be acute and resolve on its own. Some kinds, however, can be persistent, leading to cirrhosis and liver cancer. A person can have HBV and spread the virus to others without realizing it; some persons have no symptoms, while others only have the first infection, which then resolves. For others, the condition becomes chronic. In chronic cases, the virus continues to attack the liver over time without detection, resulting in irreversible liver damage. The manual system contain large amount of errors by virtue of human decision, tedious and expensive in terms of labor requirements. This project proposed machine learning algorithm; Artificial Neural Network to predict the occurrence of Hepatitis. Performance Evaluation results of ANN shows the effectiveness of the proposed approach with the overall Accuracy (61.85%), Specificity (55.48%) and Sensitivity (68.42%). In this study, hepatitis B was predicted using Artificial Neural Network (ANN) classifier. The prediction was found to have acceptable performance measures which will aid timely response of medical experts.","PeriodicalId":167914,"journal":{"name":"Journal of Applied Science, Information and Computing","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116842136","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

CHEMICAL OXYGEN DEMAND AND METAL (CHROMIUM AND IRON) CONCENTRATIONS AS KEY DRIVERS CONTROLLING THE PHYTOPLANKTON COMPOSITION OF FISH PONDS IN OSOGBO, NIGERIA 化学需氧量和金属(铬和铁)浓度是控制尼日利亚osogbo鱼塘浮游植物组成的关键驱动因素

Journal of Applied Science, Information and Computing Pub Date : 2022-06-20 DOI: 10.59568/jasic-2022-3-1-01

S. A. Akinyemi, M. Chia, F.K Folarin, A.F Adeusi, S. E. Isaac, O. Popoola, G.D Obanla

{"title":"CHEMICAL OXYGEN DEMAND AND METAL (CHROMIUM AND IRON) CONCENTRATIONS AS KEY DRIVERS CONTROLLING THE PHYTOPLANKTON COMPOSITION OF FISH PONDS IN OSOGBO, NIGERIA","authors":"S. A. Akinyemi, M. Chia, F.K Folarin, A.F Adeusi, S. E. Isaac, O. Popoola, G.D Obanla","doi":"10.59568/jasic-2022-3-1-01","DOIUrl":"https://doi.org/10.59568/jasic-2022-3-1-01","url":null,"abstract":"There is an alarming increase in industrialization and anthropogenic activities in many parts of the world, which raises concern as to the roles they play in the aquatic ecosystems. The study was conducted to investigate chemical oxygen demand (COD) and metal concentrations as key drivers of the phytoplankton community of selected fish ponds in Osogbo, Nigeria, from February 2021 to July 2021. Water samples were collected monthly and analysed for physicochemical parameters, phytoplankton composition and abundance. Analysis of variance (ANOVA) was performed on linear regression models to assess their prediction of phytoplankton community diversity. Mean water temperature was 27.57±0.14 °C, pH 6.91±0.16, Biological Oxygen Demand (BOD) 1.30±0.13 mg/l, Chemical Oxygen Demand (COD) 345.1±75.0 mg/l, phosphate-phosphorus 7.518±1.75 mg/l, electrical conductivity 594.9±97.75 µs/cm, DO 2.37±0.29 mg/l and alkalinity 129.0±47.25 mg/l in the investigated ponds. The dominant phytoplankton group was Chlorophyceae (74%), followed by Bacillariophyceae (11%), Cyanobacteria (9%) and Euglenophyceae (6%). Canonical correspondence analysis (CCA) revealed that COD, chromium (Cr) and iron (Fe) were the key parameters controlling the phytoplankton composition of the investigated ponds. Analysis of variance performed on the CCA model revealed that the most significant environmental determinants controlling the occurrence and abundance of phytoplankton in the investigated ponds were COD (p = 0.009), Fe (p = 0.023) and Cr (p = 0.024). Results of the phytoplankton composition in the ponds indicated that physicochemical parameters play a very important role in their distribution and abundance.","PeriodicalId":167914,"journal":{"name":"Journal of Applied Science, Information and Computing","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127370944","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

COVID 19 Concerns: A Boost to Contactless Biometric System COVID - 19担忧:非接触式生物识别系统的推动

Journal of Applied Science, Information and Computing Pub Date : 2021-12-31 DOI: 10.59568/jasic-2021-2-2-03

Usman Mohammed Bala, Musbahu Muhammad Muhammad, Ya’u Nuhu

引用次数: 0

Adopting eLearning in Universities: A Challenge of Technology Factors 大学采用电子学习:技术因素的挑战

Journal of Applied Science, Information and Computing Pub Date : 2021-12-31 DOI: 10.59568/jasic-2021-2-2-01

Musbahu Muhammad Muhammad, Usman Mohammed Bala, Ya’u Nuhu

{"title":"Adopting eLearning in Universities: A Challenge of Technology Factors","authors":"Musbahu Muhammad Muhammad, Usman Mohammed Bala, Ya’u Nuhu","doi":"10.59568/jasic-2021-2-2-01","DOIUrl":"https://doi.org/10.59568/jasic-2021-2-2-01","url":null,"abstract":"The use of eLearning has yielded a positive outcome in Universities in developed countries. However, in developing countries, it partially yields good results i.e for those Universities that attempted to implement it. Virtually the teaching and learning in Nigerian Universities is still done in its traditional way. The issue of the Coronavirus has affected education negatively in Nigeria. It led to the shutting down of schools across the country. Fewer Universities (private Universities) attempted to use eLearning for teaching and learning as an alternative to the normal conventional theatre lectures. This has resulted in a kind of discrimination between the less privileged Universities and those that are opportune to have access to technological infrastructure. Moreover, those Universities that attempted to use eLearning were not able to leverage positive outcomes. This study examines the technological challenges in adapting eLearning in some Nigerian universities. The study was based on the extended Information System Success Model (ISS) of Delone and Mclean. A descriptive design approach was be adapted. The findings of the study revealed the following technological factors that affect the adaptation of eLearning in universities such as; inadequate technological infrastructure, digital divide, and unwise selection of eLearning platforms. However, under the current COIVD-19 pandemic, emphasis has been made on the cost of data subscriptions and ICT gadgets.","PeriodicalId":167914,"journal":{"name":"Journal of Applied Science, Information and Computing","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122736469","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

Evidence of Climate variability by the Spatio-Temporal Analysis of Temperature in the City of Sokoto 索科托市温度时空分析的气候变率证据

Journal of Applied Science, Information and Computing Pub Date : 2021-12-31 DOI: 10.59568/jasic-2021-2-2-04

S. C. Nwabachili, G. A. Olaitan, O. A. Falaiye

{"title":"Evidence of Climate variability by the Spatio-Temporal Analysis of Temperature in the City of Sokoto","authors":"S. C. Nwabachili, G. A. Olaitan, O. A. Falaiye","doi":"10.59568/jasic-2021-2-2-04","DOIUrl":"https://doi.org/10.59568/jasic-2021-2-2-04","url":null,"abstract":"Temperature is crucial in observing changes occurring in the environment, such as climate change. Climate change is caused by the emission of excessive greenhouse gas and has been acknowledged as the main cause of various environmental impacts such as an increase in the flood scenario, frequent droughts, increasing wildfires, and heatwaves in various parts of the world. Temperature behaviour which has been studied in the city of Sokoto was used as a yardstick to check for the presence of variance in climate. Temperature data were gotten from the Nigerian Meteorological Agency (NIMET) that spanned thirty-one years (1980–2010) was used for this study. ANOVA and the Mann Kendall trend test were used to analyze the data used. The ANOVA findings revealed that the maximum and minimum temperatures differed significantly between the months. The Mann-Kendall trend test results suggest an increasing trend in maximum temperature and a declining trend in minimum temperature in the annual statistics. The monthly trend was made up of both increasing and decreasing trends. The city of Sokoto being located in the region of the Sahel savannah has very sensitive to minor changes in climate variance, hence this result will help in the planning of agriculture-related activities such as planting time, type of crops to plant, type of animals to be reared, types of animal diseases to provide vaccines for, etc.","PeriodicalId":167914,"journal":{"name":"Journal of Applied Science, Information and Computing","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125993435","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

CYBER SECURITY AWARENESS AMONG UGANDAN UNIVERSITY LECTURERS: CHALLENGING FACTORS INFLUENCING CHANGE 乌干达大学讲师的网络安全意识:影响变革的挑战性因素

Journal of Applied Science, Information and Computing Pub Date : 2021-12-31 DOI: 10.59568/jasic-2021-2-2-07

Yakubu Ajiji Makeri, John Patrick Asiimwe, Habiba Njeri Ngugi

{"title":"CYBER SECURITY AWARENESS AMONG UGANDAN UNIVERSITY LECTURERS: CHALLENGING FACTORS INFLUENCING CHANGE","authors":"Yakubu Ajiji Makeri, John Patrick Asiimwe, Habiba Njeri Ngugi","doi":"10.59568/jasic-2021-2-2-07","DOIUrl":"https://doi.org/10.59568/jasic-2021-2-2-07","url":null,"abstract":"The present paper focuses on Cyber Security Awareness Campaigns, and aims to identify key factors regarding security which may lead them to failing to appropriately change people’s behaviors. Past and current efforts to improve informationsecurity practices and promote a sustainable society have not had the desired impact. It is important therefore to critically reflect on the challenges involved in improving information-security behaviours for citizens, consumers and employees. In particular, our work considers these challenges from a Psychology perspective, as we believe that understanding how people perceive risksis critical to creating effective awareness campaigns. Changing behavior requires more than providing information about risks and reactive behaviours – firstly, people must be able to understand and apply the advice, and secondly, they must be motivated and willing to do so – and the latter requires changes to attitudes and intentions. These antecedents of behaviour change are identified in several psychological models of behaviour. We review the suitability of persuasion techniques, including the widely used ‘fear appeals. From this range of literature, we extract essential components for an awareness campaign as well as factors which can lead to a campaign’s success or failure. Finally, we present examples of existing awareness campaigns in different cultures (the UK and Africa) and reflect on these.","PeriodicalId":167914,"journal":{"name":"Journal of Applied Science, Information and Computing","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121455294","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

CHOLERA PREDICTION MODEL USING FEATURE CLUSTERING BAYESIAN TECHNIQUE 基于特征聚类贝叶斯技术的霍乱预测模型

Journal of Applied Science, Information and Computing Pub Date : 2021-12-31 DOI: 10.59568/jasic-2021-2-2-02

Ya’u Nuhu

{"title":"CHOLERA PREDICTION MODEL USING FEATURE CLUSTERING BAYESIAN TECHNIQUE","authors":"Ya’u Nuhu","doi":"10.59568/jasic-2021-2-2-02","DOIUrl":"https://doi.org/10.59568/jasic-2021-2-2-02","url":null,"abstract":"Cholera is one the most deadly disease that is mostly caused due by poor sanitation or and drinking contaminated water or food with a bacterium called Vibrio Cholera. Many researchers have provided a solution to prevent the outbreak of cholera using various methods, the recent ones are using machine learning techniques and some mathematical methods such as mathematical epidemiological, spatial statistics, and based on association rule mining using the nonstandard distribution dataset to mention a few. These few methods are mostly used in predicting cholera outbreaks but have some limitations, such as using fewer features for prediction, waiting until certain cases are reported before getting data, based on Rainfall, based on the flowing speed of rivers, wind direction, and flood, etc. in this research a more comprehensive cholera features would be used in predicting an outbreak before it occurs based on the existing secondary dataset using The Naïve Bayesian Classification technique. The proposed model has more features and is not dependent on certain events to occur before predicting any outbreak. Python programming was used in implementing the proposed model. An accuracy of 99% was achieved and it shows it is better than the previous models used in predicting cholera outbreaks.","PeriodicalId":167914,"journal":{"name":"Journal of Applied Science, Information and Computing","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126383175","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

GEOGRAPHIES OF WATER SCARCITY IN THE ERA OF COVID-19 PANDEMIC 2019冠状病毒病大流行时期水资源短缺的地理区域

Journal of Applied Science, Information and Computing Pub Date : 2021-12-31 DOI: 10.59568/jasic-2021-2-2-05

M. Baba-Adamu, M, Adamu U

{"title":"GEOGRAPHIES OF WATER SCARCITY IN THE ERA OF COVID-19 PANDEMIC","authors":"M. Baba-Adamu, M, Adamu U","doi":"10.59568/jasic-2021-2-2-05","DOIUrl":"https://doi.org/10.59568/jasic-2021-2-2-05","url":null,"abstract":"Background: Water is the most important natural resource that guarantees socio-economic development and quality of man’s life, while its consumptive demand increases in response to the geographic diversities of the human population. Aim: This study examined the influence of some geographic variables on households’ exposure to water scarcity during the COVID-19 pandemic in Potiskum town, Yobe State. Methods: Online survey was conducted on the households’ water demand and availability, while the data were analyzed with both descriptive and inferential statistical models. Findings: It highlighted that about 34% of the households were using unimproved water sources, which increases their spatial distance coverage, time, and energy expenditures for the water fetching. The WSVI demonstrated the exposure of 60.2% of the households to the varying levels of water scarcity, which constitute a threat to the attainment of SDG 6 and compliance with the COVID-19 pandemic’s safety measures. Similarly, the geographic determinants were found to statistically correlate with the dynamics of the water supply. Whereas, the linear regression model of the determinants was found to account for 32.7% of the households’ susceptibility to the water crisis. Conclusion: It affirmed the presence of water scarcity, attributed to the geographic factors, and prompted by the emergence of the COVID-19 pandemic. Thus, it suggests increased investments in the urban water sector, towards improving affordable access to the water supply and enhanced WASH service, which reduces the vulnerability of the households to water crisis and transmission of contagious diseases such as the COVID-19 pandemic.","PeriodicalId":167914,"journal":{"name":"Journal of Applied Science, Information and Computing","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132003520","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