{"title":"Deep Learning Method for Handwriting Recognition","authors":"Ayşe Ayvaci Erdoğan, A. E. Tümer","doi":"10.51354/mjen.852312","DOIUrl":"https://doi.org/10.51354/mjen.852312","url":null,"abstract":"The advancement of technology nowadays resulted into documents, such as forms and petitions, being filled out in computer and digital environment. Yet in some cases, documents are still preserved in traditional style, on print. Due to its distinct proportions, however, its storage, sharing and filing has become a complication. The relocation of these written documents to digital environment is therefore of great significance. In this view, this study aims to explore methodologies of digitizing handwritten documents. In this study, the documents converted to image format were pre-processed using image processing methods. These operations include dividing lines of the document into image format, dividing into words which then divided into characters, and finally, a classification operation on the characters. As classification phase, one of the deep learning methods is the Convolution Neural Network method is used in image recognition. The model was trained using the EMNIST dataset, and in the character, dataset created from the documents at hand. The dataset created had a success rate of 87.81%. Characters classified as finishers are sequentially combined and the document is transferred to the computer afterwards.","PeriodicalId":102219,"journal":{"name":"MANAS Journal of Engineering","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133792780","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":"Removal of As(V), Cr(VI) and Cr(III) Heavy Metal Ions from Environmental Waters Using Amidoxime and Quaternized HydrogelsRemoval of As(V), Cr(VI) and Cr(III) Heavy Metal Ions from Environmental Waters Using Amidoxime and Quaternized Hydrogels","authors":"D. Alpaslan, T. E. Dudu","doi":"10.51354/mjen.936970","DOIUrl":"https://doi.org/10.51354/mjen.936970","url":null,"abstract":"","PeriodicalId":102219,"journal":{"name":"MANAS Journal of Engineering","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116124786","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}
Z. Maymekov, Zhyldyz Tunguchbekova, K. Kemelov, Uran Maymekov, D. Sambaeva
{"title":"Study on Antimony Cake as a Technogenic Raw Material for the Production of Antimony Oxides","authors":"Z. Maymekov, Zhyldyz Tunguchbekova, K. Kemelov, Uran Maymekov, D. Sambaeva","doi":"10.51354/mjen.910090","DOIUrl":"https://doi.org/10.51354/mjen.910090","url":null,"abstract":"","PeriodicalId":102219,"journal":{"name":"MANAS Journal of Engineering","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121019165","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}
Venera Edilbek Kyzy, Nurzat Shaykieva, K. Kemelov, M. Dolaz, M. Kobya
{"title":"Environmental Pollution Size of the Bishkek Solid Waste Landfill and Treatment of Generated Leachate Wastewater","authors":"Venera Edilbek Kyzy, Nurzat Shaykieva, K. Kemelov, M. Dolaz, M. Kobya","doi":"10.51354/mjen.928670","DOIUrl":"https://doi.org/10.51354/mjen.928670","url":null,"abstract":"","PeriodicalId":102219,"journal":{"name":"MANAS Journal of Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129411450","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":"Fitting The Itô Stochastic Differential Equation to The COVID-19 Data in Turkey","authors":"Sevda Özdemir Çalikuşu, F. Erdoğan","doi":"10.51354/MJEN.929656","DOIUrl":"https://doi.org/10.51354/MJEN.929656","url":null,"abstract":"In this study, COVID-19 data in Turkey is investigated by Stochastic Differential Equation Modeling (SDEM). Firstly, parameters of SDE which occur in mentioned epidemic problem are estimated by using the maximum likelihood procedure. Then, we have obtained reasonable Stochastic Differential Equation (SDE) based on the given COVID-19 data. Moreover, by applying Euler-Maruyama Approximation Method trajectories of SDE are achieved. The performances of trajectories are established by Chi-Square criteria. The results are acquired by using statistical software R-Studio. These results are also corroborated by graphical representation. [ FROM AUTHOR] Copyright of Manas Journal of Engineering is the property of Kyrgyz-Turkish Manas University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)","PeriodicalId":102219,"journal":{"name":"MANAS Journal of Engineering","volume":"2570 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127483915","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":"Training of the Feed-Forward Artificial Neural Networks using Butterfly Optimization Algorithm","authors":"Büşra Irmak, Şaban Gülcü","doi":"10.51354/mjen.917837","DOIUrl":"https://doi.org/10.51354/mjen.917837","url":null,"abstract":"","PeriodicalId":102219,"journal":{"name":"MANAS Journal of Engineering","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123678245","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":"On some inequalities for derivatives of algebraic polynomials in unbounded regions with angles","authors":"C. D. Gün","doi":"10.51354/MJEN.846484","DOIUrl":"https://doi.org/10.51354/MJEN.846484","url":null,"abstract":"In this work we study Bernstein-Walsh-type estimations for the derivative of an arbitrary algebraic polynomial in regions with interior zero and exterior non zero angles.","PeriodicalId":102219,"journal":{"name":"MANAS Journal of Engineering","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132540988","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":"On the Recursive Sequence x(n+!) = x(n-14) / [1 + x(n-2) x(n-5) x(n-8) x(n-11)]","authors":"B. Oğul, D. Şi̇mşek","doi":"10.51354/mjen.748450","DOIUrl":"https://doi.org/10.51354/mjen.748450","url":null,"abstract":"In this paper, given solutions fort he following difference equation x(n+!) = x(n-14) / [1 + x(n-2) x(n-5) x(n-8) x(n-11)] where the initial conditions are positive real numbers. The initial conditions of the equation are arbitrary positive real numbers. We investigate periodic behavior of this equation. Also some numerical examples and graphs of solutions are given.","PeriodicalId":102219,"journal":{"name":"MANAS Journal of Engineering","volume":"188 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121066636","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":"Investigation of Engineering Properties of Blast Furnace Slag Additive Mortars","authors":"H. Boran, O. Gunaydin, Kadir Güçlüer","doi":"10.51354/mjen.795891","DOIUrl":"https://doi.org/10.51354/mjen.795891","url":null,"abstract":"Cement, water and fine aggregate mixture is called mortar. Mortar samples suitable for the desired purpose can be obtained by adding various additives to the mortar samples. In this study, instead of standard sand, blast furnace slag (BFS) was used at 10%, 20% and 30% by weight in mortar samples. In order to determine the mechanical properties of the samples, compressive and flexural strength tests were applied. For the electrical resistivity values, a device with constant 30V voltage was prepared and the electrical resistivity values were measured. To determine the freeze-thaw resisting properties, it was applied sodium sulfate experiment. As a result, it was seen that the best values were obtained from 30% BFS additive samples in all series. The highest resistivity values are in the sample with 30% BFS doped with 0.1856 ohm.m and 0.268 ohm.m values. The highest freeze-thaw resisting value was seen in the sample with 30% BFS with 1.35%.","PeriodicalId":102219,"journal":{"name":"MANAS Journal of Engineering","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127205125","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}