{"title":"Solution for projectile motion in two dimensions with nonlinear air resistance using Laplace decomposition method","authors":"","doi":"10.28919/jmcs/7127","DOIUrl":"https://doi.org/10.28919/jmcs/7127","url":null,"abstract":"","PeriodicalId":36607,"journal":{"name":"Journal of Mathematical and Computational Science","volume":"43 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80190178","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":"Rational cohomology of classifying spaces and Hilali conjecture","authors":"","doi":"10.28919/jmcs/7238","DOIUrl":"https://doi.org/10.28919/jmcs/7238","url":null,"abstract":"","PeriodicalId":36607,"journal":{"name":"Journal of Mathematical and Computational Science","volume":"20 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81171206","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":"Some application of ideals of nLA-rings","authors":"","doi":"10.28919/jmcs/7502","DOIUrl":"https://doi.org/10.28919/jmcs/7502","url":null,"abstract":"","PeriodicalId":36607,"journal":{"name":"Journal of Mathematical and Computational Science","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82612411","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":"Group mean cordial labeling of some path and cycle related graphs","authors":"","doi":"10.28919/jmcs/7510","DOIUrl":"https://doi.org/10.28919/jmcs/7510","url":null,"abstract":"","PeriodicalId":36607,"journal":{"name":"Journal of Mathematical and Computational Science","volume":"19 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82563097","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":"Modeling of crime rate in Indonesia during the COVID-19 pandemic from a macroeconomic perspective: Using robust regression with S-estimator","authors":"","doi":"10.28919/jmcs/7217","DOIUrl":"https://doi.org/10.28919/jmcs/7217","url":null,"abstract":"","PeriodicalId":36607,"journal":{"name":"Journal of Mathematical and Computational Science","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80993828","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":"TensorFlow-based smart home using semi-supervised deep learning with context-awareness","authors":"S. Umamageswari, M. Kannan","doi":"10.28919/jmcs/7033","DOIUrl":"https://doi.org/10.28919/jmcs/7033","url":null,"abstract":"In recent years, Smart homes play a significant role in improving the quality of human life due to the rapid proliferation of the Internet of Things (IoT) technology. The previous research works on the smart home system have adopted the machine learning and deep learning algorithms to predict the sequential activities in the smart home. This work presents a model of SMART home automation with Context-Awareness using Stacked AutoEncoder (SAE) Long Short-Term Memory (LSTM) in TensorFlow (SMART-CAST). The SMART-CAST approach comprises three main processes, including the integration of internal and external home data, SAE-assisted unsupervised learning, and LSTM with back propagation-assisted supervised learning. By inter-linking the spatial and temporal attribute-values, the SMART-CAST unifies the smart home and weather data for facilitating decision-making. It employs the SAE to generate the compressed representation of the unified smart home data from the unlabeled information. In consequence, the SMART-CAST approach applies the LSTM with the extracted compressed representation for learning the labeled data and updates the weight of the LSTM through backpropagation to predict the sequential activities in the smart home system. To further improve the decision-making performance, the experimental model executes the proposed semi-supervised deep learning algorithm in the TensorFlow deep learning framework.","PeriodicalId":36607,"journal":{"name":"Journal of Mathematical and Computational Science","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83618056","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}
E. Rochman, Ach. Khozaimi, I. Suzanti, Rohmatul Jannah, B. K. Khotimah, A. Rachmad
{"title":"A combination of algorithm agglomerative hierarchical cluster (AHC) and K-means for clustering tourism in Madura-Indonesia","authors":"E. Rochman, Ach. Khozaimi, I. Suzanti, Rohmatul Jannah, B. K. Khotimah, A. Rachmad","doi":"10.28919/jmcs/7086","DOIUrl":"https://doi.org/10.28919/jmcs/7086","url":null,"abstract":"The development approach through the tourism sector is one of the programs launched by the government since 2016. However, the development approach is not carried out in all areas because the number of accommodation and public facilities is minimal and uneven, one of which is in Madura. With so many tourist objects in Madura, it is necessary to distribute the development of public facilities and analyze tourism that has a non-strategic distance to public facilities to help increase tourist visits. This study builds a system for clustering tourist attractions in each district in Madura based on the distance to public facilities which include hotels, gas stations, restaurants, and mosques which are important criteria and considerations for tourists in visiting a tourist location. The method used in this research is a combination of the AHC method with K-Means. The test results of the AHC, K-Means method, and the combination of AHC and K-Means methods using the Silhouette Coefficient method indicate that the AHC and K-Means combination method is the best method with a Silhouette Coefficient value of 0.8055 for k=2 and is classified as a strong structure, for the K method. -Means produces the highest Silhouette Coefficient value of 0.638. While the AHC 2 ROCHMAN, KHOZAIMI, SUZANTI, HUSNI, JANNAH, KHOTIMAH, RACHMAD method produces the highest Silhouette Coefficient value of 0.707.","PeriodicalId":36607,"journal":{"name":"Journal of Mathematical and Computational Science","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89958864","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":"Food chain model with logistic growth and selective optimal harvesting under fuzzy environment","authors":"D. Sadhukhan","doi":"10.28919/jmcs/7310","DOIUrl":"https://doi.org/10.28919/jmcs/7310","url":null,"abstract":": A multispecies food chain harvesting model is formulated based on Lotka-Voltera model with three species which are affected not only by harvesting but also by the presence of prey, predator and the super predator. In order to understand the dynamics of the system, it is assumed that the all three species follows the logistic law of growth. Further, there is demand for prey predator species in the market and hence selective harvesting of two species is performed. We derive the condition for global stability of the system using a suitable Lyapunov function. The possibility of existence of bioeconomic equilibrium is discussed. The optimal harvest policy is studied and the solution is derived under imprecise inflation in fuzzy environment using Pontryagin’s maximal principle. Finally some numerical examples are discussed to illustrate the model.","PeriodicalId":36607,"journal":{"name":"Journal of Mathematical and Computational Science","volume":"54 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90841357","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}
Emanuel Simanjilo, Alfred Hugo, O. Makinde, M. Kung'aro
{"title":"Co-dynamics of cassava virus disease with farming awareness and control measures: A case of lake zone in Tanzania","authors":"Emanuel Simanjilo, Alfred Hugo, O. Makinde, M. Kung'aro","doi":"10.28919/jmcs/7676","DOIUrl":"https://doi.org/10.28919/jmcs/7676","url":null,"abstract":": The cassava virus diseases co-dynamics model is formulated and analysed using ordinary differential equations theories. The modelling involves cassava plant and whitefly vector population, with aspects of Farmer's awareness level. The evaluation of farmers' awareness inverted numerically and found that increasing awareness levels among farmers decrease disease transmission and spread. The data from ten district councils in the Tanzania lake zone fit and estimate the model parameters. In addition, time-dependent controls were incorporated to reduce the burden on cassava farmers. The findings revealed that with limited resources, uprooting and burning the infected cassava plants and awareness campaign programs significantly reduce the transmission. Therefore, to overcome the burden caused by cassava virus diseases, the farmers are recommended to uproot and burn the infected cassava plants from the farm. Also, it should be updated on controlling disease through educational campaign programs to enhance farmers' awareness.","PeriodicalId":36607,"journal":{"name":"Journal of Mathematical and Computational Science","volume":"109 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80310970","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}