Pub Date : 2023-01-01DOI: 10.1504/ijesms.2023.127398
R. Suresh Kumar, P. Manimegalai, S. Abishak, N.K.S. Hariharan, D. Pamela
Presently, the existing replenishment device may be handiest when systematically reviewing the inventories. Whereas, there are ongoing vending machines that may not be able to provide or discover whether the substances are doing nicely to be replenished or no longer be replenished. This effect is an inefficient replenishment policy and there will be regular inventory-out among the products. This undertaking intends to provide the automatic replenishment of smart merchandising gadget with the intention to provide and support inventories to the administrator. Amazon sprint replenishment service (Amazon DRS) permits, while the vending device is about to run out of the stock/product, it to automatically locate orders on Amazon, administering which of the supplies may be due for replenishment. By executing this venture, inventory-out of the vending machines may be prevented and a green manner of the replenishment system can be carried out.
{"title":"Automatic refilling vending machine using Amazon DRS AWS","authors":"R. Suresh Kumar, P. Manimegalai, S. Abishak, N.K.S. Hariharan, D. Pamela","doi":"10.1504/ijesms.2023.127398","DOIUrl":"https://doi.org/10.1504/ijesms.2023.127398","url":null,"abstract":"Presently, the existing replenishment device may be handiest when systematically reviewing the inventories. Whereas, there are ongoing vending machines that may not be able to provide or discover whether the substances are doing nicely to be replenished or no longer be replenished. This effect is an inefficient replenishment policy and there will be regular inventory-out among the products. This undertaking intends to provide the automatic replenishment of smart merchandising gadget with the intention to provide and support inventories to the administrator. Amazon sprint replenishment service (Amazon DRS) permits, while the vending device is about to run out of the stock/product, it to automatically locate orders on Amazon, administering which of the supplies may be due for replenishment. By executing this venture, inventory-out of the vending machines may be prevented and a green manner of the replenishment system can be carried out.","PeriodicalId":51938,"journal":{"name":"International Journal of Engineering Systems Modelling and SImulation","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134954977","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}
Pub Date : 2023-01-01DOI: 10.1504/ijesms.2023.133950
Anitha Mogilicharla, V. Swapna, Rajasri Yadavalli
{"title":"Effect of semi batch and fed batch addition of glucose on alkaline protease production: a multi-objective optimisation approach","authors":"Anitha Mogilicharla, V. Swapna, Rajasri Yadavalli","doi":"10.1504/ijesms.2023.133950","DOIUrl":"https://doi.org/10.1504/ijesms.2023.133950","url":null,"abstract":"","PeriodicalId":51938,"journal":{"name":"International Journal of Engineering Systems Modelling and SImulation","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136054109","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}
Pub Date : 2023-01-01DOI: 10.1504/ijesms.2023.131787
Beulah Jackson, P. Pattunnarajam, S. Asha, M. Bindhu, J.C. Elizabeth
{"title":"A triple band MIMO slot antenna with enhanced resonance for WiMAX, Wi-Fi and WLAN applications","authors":"Beulah Jackson, P. Pattunnarajam, S. Asha, M. Bindhu, J.C. Elizabeth","doi":"10.1504/ijesms.2023.131787","DOIUrl":"https://doi.org/10.1504/ijesms.2023.131787","url":null,"abstract":"","PeriodicalId":51938,"journal":{"name":"International Journal of Engineering Systems Modelling and SImulation","volume":"1 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66736246","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}
Pub Date : 2023-01-01DOI: 10.1504/ijesms.2023.133941
Yong Sang, Pengkun Liu, Xudong Wang
{"title":"CFD analysis of direct-operated poppet relief valve under different parameters and its structure optimisation","authors":"Yong Sang, Pengkun Liu, Xudong Wang","doi":"10.1504/ijesms.2023.133941","DOIUrl":"https://doi.org/10.1504/ijesms.2023.133941","url":null,"abstract":"","PeriodicalId":51938,"journal":{"name":"International Journal of Engineering Systems Modelling and SImulation","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136054106","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}
Pub Date : 2023-01-01DOI: 10.1504/ijesms.2023.10055360
Ashok Kuma Loganathan, Karthik R. K. Subramanian
{"title":"Voltage stability analysis of smart distribution grids with PV systems using fuzzy logic controller with firefly optimisation algorithm","authors":"Ashok Kuma Loganathan, Karthik R. K. Subramanian","doi":"10.1504/ijesms.2023.10055360","DOIUrl":"https://doi.org/10.1504/ijesms.2023.10055360","url":null,"abstract":"","PeriodicalId":51938,"journal":{"name":"International Journal of Engineering Systems Modelling and SImulation","volume":"1 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66736233","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}
Pub Date : 2023-01-01DOI: 10.1504/ijesms.2023.131788
S. Sahunthala, A. Geetha, L. Parthiban
{"title":"XML document classification effectively using improved high-performance factor","authors":"S. Sahunthala, A. Geetha, L. Parthiban","doi":"10.1504/ijesms.2023.131788","DOIUrl":"https://doi.org/10.1504/ijesms.2023.131788","url":null,"abstract":"","PeriodicalId":51938,"journal":{"name":"International Journal of Engineering Systems Modelling and SImulation","volume":"1 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66736249","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":"Performance and analysis of solar to vehicle and vehicle to grid integrated energy conversion technologies","authors":"Shreashtha Varun, Sanjiv Kumar Jain, Sandeep Bhongade, Shweta Agrawal","doi":"10.1504/ijesms.2023.133955","DOIUrl":"https://doi.org/10.1504/ijesms.2023.133955","url":null,"abstract":"","PeriodicalId":51938,"journal":{"name":"International Journal of Engineering Systems Modelling and SImulation","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136052424","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}
Pub Date : 2023-01-01DOI: 10.1504/ijesms.2023.10059726
Mandar M. Lele, R.S. Jha
{"title":"A generalised approach to the dynamic modelling of a water tube boiler","authors":"Mandar M. Lele, R.S. Jha","doi":"10.1504/ijesms.2023.10059726","DOIUrl":"https://doi.org/10.1504/ijesms.2023.10059726","url":null,"abstract":"","PeriodicalId":51938,"journal":{"name":"International Journal of Engineering Systems Modelling and SImulation","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136209891","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}
Pub Date : 2023-01-01DOI: 10.1504/ijesms.2023.131790
T. Gunasekar, K. Elavarasan
{"title":"Study on generalisation of triple connected perfect dominating set in fuzzy graph","authors":"T. Gunasekar, K. Elavarasan","doi":"10.1504/ijesms.2023.131790","DOIUrl":"https://doi.org/10.1504/ijesms.2023.131790","url":null,"abstract":"","PeriodicalId":51938,"journal":{"name":"International Journal of Engineering Systems Modelling and SImulation","volume":"1 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66736308","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}
Pub Date : 2023-01-01DOI: 10.1504/ijesms.2023.127396
Manoj Agrawal, Shweta Agrawal
Rice is one of the main crops grown in India and it is complicated for farmers to accurately classify rice diseases manually with their imperfect information. Thus, the automatic recognition of rice plant diseases is highly desired. Many methods are available and have been proposed for the rice plant diseases detection. The latest advances indicate that the use of CNN models can be very beneficial in such troubles. In this paper we have explored and trained various CNN models with the unique combinations of training and learning methods to enhance the accuracy. The most advanced large-scale architecture, such as VGG19, XceptionNet, ResNet50, DenseNet, SqueezeNet, and CNN are implemented with the baseline and transfer learning methods. These models are trained and tested on datasets collected from various sources. Experimental results show that the ResNet50 architecture achieved the highest accuracy of 97.5% as compared to other CNN architectures and existing literature.
{"title":"Rice plant diseases detection using convolutional neural networks","authors":"Manoj Agrawal, Shweta Agrawal","doi":"10.1504/ijesms.2023.127396","DOIUrl":"https://doi.org/10.1504/ijesms.2023.127396","url":null,"abstract":"Rice is one of the main crops grown in India and it is complicated for farmers to accurately classify rice diseases manually with their imperfect information. Thus, the automatic recognition of rice plant diseases is highly desired. Many methods are available and have been proposed for the rice plant diseases detection. The latest advances indicate that the use of CNN models can be very beneficial in such troubles. In this paper we have explored and trained various CNN models with the unique combinations of training and learning methods to enhance the accuracy. The most advanced large-scale architecture, such as VGG19, XceptionNet, ResNet50, DenseNet, SqueezeNet, and CNN are implemented with the baseline and transfer learning methods. These models are trained and tested on datasets collected from various sources. Experimental results show that the ResNet50 architecture achieved the highest accuracy of 97.5% as compared to other CNN architectures and existing literature.","PeriodicalId":51938,"journal":{"name":"International Journal of Engineering Systems Modelling and SImulation","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135007843","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：