2022 5th International Conference on Networking, Information Systems and Security: Envisage Intelligent Systems in 5g//6G-based Interconnected Digital Worlds (NISS)最新文献

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Application of Artificial Neural Network to predict phosphoric acid slurry viscosity 人工神经网络在磷酸浆粘度预测中的应用
Ahmed Bichri, Afaf Saaidi, S. Abderafi
{"title":"Application of Artificial Neural Network to predict phosphoric acid slurry viscosity","authors":"Ahmed Bichri, Afaf Saaidi, S. Abderafi","doi":"10.1109/NISS55057.2022.10085259","DOIUrl":"https://doi.org/10.1109/NISS55057.2022.10085259","url":null,"abstract":"At the level of the attack unit of the phosphoric acid production process, the control and monitoring of the dynamic viscosity of phosphoric acid slurry is crucial to understand its rheological behavior. This information contributes to the resolution of problems that may be encountered in the flow. The objective of this work is to obtain a reliable artificial neural network model to predict this rheological property. First, experimental data of phosphoric acid slurry are analyzed. The dataset is composed of 468 samples with three explanatory variables namely: temperature, shear rate and solid content and a target variable which is dynamic viscosity of the phosphoric acid slurry. Results have shown that solid content has the greatest effect on the dynamic viscosity of the slurry, followed by shear rate and then comes temperature. Then, a neural network model with the topology (3-5-1) have been developed and have shown accurate predictions of the slurry viscosity.","PeriodicalId":138637,"journal":{"name":"2022 5th International Conference on Networking, Information Systems and Security: Envisage Intelligent Systems in 5g//6G-based Interconnected Digital Worlds (NISS)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131590663","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 Agricultural Product Package Recommendations Using the FP-Growth Algorithm 基于FP-Growth算法的农产品包装推荐分析
I. G. S. Masdiyasa, Aris Prabowo, Eka Prakarsa Mandyartha, Rafka Mahendra Ariefwan, Sugiarto, M. Idhom
{"title":"Analysis of Agricultural Product Package Recommendations Using the FP-Growth Algorithm","authors":"I. G. S. Masdiyasa, Aris Prabowo, Eka Prakarsa Mandyartha, Rafka Mahendra Ariefwan, Sugiarto, M. Idhom","doi":"10.1109/NISS55057.2022.10085146","DOIUrl":"https://doi.org/10.1109/NISS55057.2022.10085146","url":null,"abstract":"The size of the agricultural sector in Indonesia provides opportunities for small businesses managed by local residents to provide various needs to support agricultural activities. The rise of agricultural shops has made business competition in the agricultural sector quite competitive. Therefore, a marketing strategy is needed that can increase the sales of various marketed agricultural products. The method applied in this research is Association Rule Mining using the FP-Growth algorithm. This method is applied to obtain association rules that are used as a reference in making recommendations for agricultural product packages at agricultural shops to increase sales. The system workflow starts from preprocessing data to form an itemset which is then processed using the FP-Growth algorithm. The next step is to determine the minimum value of support and minimum confidence as a limit in calculating the FP-Growth algorithm. The system will eliminate a number of itemsets that do not meet the specified threshold to produce frequent itemsets which are then mined into rules as a reference to form the most recommended package of agricultural products. From the research conducted it can be seen that there are 3 itemets that almost always appear and the most recommended agricultural product package is Prowl 250 ml (Herbicide) which is associated with Antracol 70wp 1 kg (fungicide) with a support value of 6.38% and a confidence value of 85, 71% and the lift ratio is 8.95.","PeriodicalId":138637,"journal":{"name":"2022 5th International Conference on Networking, Information Systems and Security: Envisage Intelligent Systems in 5g//6G-based Interconnected Digital Worlds (NISS)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130786416","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
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