2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI)最新文献_第4页

Towards Digitalization of Steel Melt shop: A model-based approach 熔钢车间数字化:基于模型的方法

2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2021-05-19 DOI: 10.1109/SACI51354.2021.9465573

Anurag Nandwana, Gautham Madenoor Ramapriya, Ulaganathan Nallasivam, T. Mathur, K. Praveen

{"title":"Towards Digitalization of Steel Melt shop: A model-based approach","authors":"Anurag Nandwana, Gautham Madenoor Ramapriya, Ulaganathan Nallasivam, T. Mathur, K. Praveen","doi":"10.1109/SACI51354.2021.9465573","DOIUrl":"https://doi.org/10.1109/SACI51354.2021.9465573","url":null,"abstract":"Tracking of every ladle during the entire ladle-cycle, scheduling of ladle movement and processing in a melt shop are imperative to 1) ensure continuous operation 2) enhance productivity and 3) lower energy consumption. While tracking has recently evolved to digital with certain limitations, scheduling is limited to expertise of the operator and is applicable up to a short horizon. Dependence on operator-expertise further extends to ladle furnace operation where lift temperature for desired superheat, a complex feature of several parameters, is decided by operator based on heat loss estimation and ladle history.Current work is a step towards digitalization of steel melt shop by minimizing the human involvement in tracking of ladle, scheduling of ladle movement and prediction of lift temperature. A novel technique is introduced for tracking of ladle in melt shop. Based on the ladle tracking and production planning, ladle transport across various units including assignment of appropriate cranes is automated. Finally, a mathematical model is developed to predict the temperature for ladle lifting to ensure desired superheat at caster and has been validated against industrial measurements.With efficient tracking, the visibility of ladles in the melt shop is improved to nearly 100%. With improved scheduling, idle time of ladles and processing units is reduced. Lastly, the numerical thermal model reduces the energy requirements, lowers the idle time and improves casting speed. This improves the overall productivity of the melt shop. With higher level of automation and model-based decision making, dependence on human expertise is reduced and safety of melt shop is improved.","PeriodicalId":321907,"journal":{"name":"2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122272762","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

Machine Learning based Prediction of GDP using FAO Agricultural Data Set for Hungary 使用FAO匈牙利农业数据集的基于机器学习的GDP预测

2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2021-05-19 DOI: 10.1109/SACI51354.2021.9465608

Adedeji Charles Adeyemo, Bence Bogdandy, Zsolt Tóth

{"title":"Machine Learning based Prediction of GDP using FAO Agricultural Data Set for Hungary","authors":"Adedeji Charles Adeyemo, Bence Bogdandy, Zsolt Tóth","doi":"10.1109/SACI51354.2021.9465608","DOIUrl":"https://doi.org/10.1109/SACI51354.2021.9465608","url":null,"abstract":"Prediction of economical growth is a complex task which is essential for planning sustainable economy. The economy has a wide range of indicators that are monitored and recorded by governments and international organizations. Agriculture is one of the most essential factors to modern day economical sustainability. The Food and Agriculture Organization keeps essential agricultural data sets which consist of records on production of crops and other agricultural products whose production strongly relates to the Gross Domestic Product of many countries. Assuming that total crop production and agricultural economy growth are highly related, the production of crops and total value of income from agriculture can be learnt by machine learning models. As data is recorded along an axis of time, it can be interpreted as a time series of various factors. Recurrent Neural Network excel in learning time series and sequential data. This paper presents experimental results on training various recurrent neural networks for modeling the changes of Agricultural and Gross Domestic Products. The paper details the data transformation, model building and model validation steps. Our experimental results showed that the models could achieve 85% accuracy.","PeriodicalId":321907,"journal":{"name":"2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132349065","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: 1

Hierarchical Organization of Control and Sensory System of an Electric Vehicle 电动汽车控制与传感系统的分层组织

2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2021-05-19 DOI: 10.1109/SACI51354.2021.9465638

István Nagy

引用次数: 1

Quantity Analysis on the Chaining of Repetition Free Words Considering the VDE Composition Rule 基于VDE构成规则的重复自由词链的数量分析

2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2021-05-19 DOI: 10.1109/SACI51354.2021.9465549

István Finta, L. Farkas, S. Szénási

引用次数: 0

Modified Distance Metric That Generates Better Performance For The Authentication Algorithm Based On Free-Text Keystroke Dynamics 改进的距离度量为基于自由文本击键动力学的认证算法提供更好的性能

2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2021-05-19 DOI: 10.1109/SACI51354.2021.9465601

A. Iapa, V. Cretu

{"title":"Modified Distance Metric That Generates Better Performance For The Authentication Algorithm Based On Free-Text Keystroke Dynamics","authors":"A. Iapa, V. Cretu","doi":"10.1109/SACI51354.2021.9465601","DOIUrl":"https://doi.org/10.1109/SACI51354.2021.9465601","url":null,"abstract":"The authentication process can be categorized by the number of incorporated factors: something you know, like a username and a password, something you have, like card, token or something you are, like biometrics. Keystroke dynamics has been pointed out as a practical behavioral biometric feature that does not require any additional device for scale up user authentication. The input data of an authentication system based on keystroke dynamics are the typing times on the keyboard. Given that typing times result in time vectors, and these must be compared to see the similarities between them to validate the user. Algorithms of dynamic authentication can be divided into three major groups: estimation of metric distances, statistical methods and machine learning. The paper aims to analyze the possibilities of increasing the efficiency of an authentication algorithm based on keystroke dynamics, in the sense of reducing the value of the Equal Error Rate (EER). The distance method is used to calculate the similarity between users. The paper (1) analyzes the optimal number of di-graphs, (2) analyzes the optimal time combinations generated by a di-graph to be used and, finally, (3) analyzes the possibility of modify the distance calculation metric. These analyzes aim to reduce the error rate generated by an authentication system based on free-text keystroke dynamics. The authors propose a modification of the Manhattan distance calculation formula that generates better performances, EER was improved by 38.53%. The EER value obtained from the modified metrics is 3.27%, compared to 5.32% obtained with the classic Manhattan formula.","PeriodicalId":321907,"journal":{"name":"2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128646098","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: 5

A non-smooth Neumann problem on compact Riemannian manifolds 紧黎曼流形上的非光滑Neumann问题

2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2021-05-19 DOI: 10.1109/SACI51354.2021.9465567

Károly Szilák

引用次数: 0

Analytical, Numerical and Experimental Analysis of the Dynamic Behavior of a Cutting Tool 刀具动态特性的解析、数值和实验分析

2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2021-05-19 DOI: 10.1109/SACI51354.2021.9465590

Claudiu Voica, G. Belgiu, D. Simoiu, Robert Parmanche, I. Crâstiu, L. Bereteu

{"title":"Analytical, Numerical and Experimental Analysis of the Dynamic Behavior of a Cutting Tool","authors":"Claudiu Voica, G. Belgiu, D. Simoiu, Robert Parmanche, I. Crâstiu, L. Bereteu","doi":"10.1109/SACI51354.2021.9465590","DOIUrl":"https://doi.org/10.1109/SACI51354.2021.9465590","url":null,"abstract":"Both the manufacturers of cutting machines and the manufacturers of cutting tools aim to increase the quality of the products in the final processing phase. The irregularities presented by the machined surfaces of some workpieces characterize their roughness and are highlighted either by their texture or by their appearance. Cutting parameters, i.e. speed, feed rate and cutting depth can induce vibrations in the cutting tool whose traces left on the surface of the machined part influence their quality.The use of the Finite Element Method (FEM) in the Modal Analysis (MA) of the behavior of a cutting tool offers the possibility to determine the shape of the natural vibration modes and the corresponding natural frequencies. This paper presents the use of Laser Doppler Vibrometry (LDV) for the experimental determination of the modal parameters of a cutting instrument following the analysis of free vibrations resulting from the application of a short-term mechanical impulse. The processing of the signals acquired through LDV was done applying the Prony Series Method (PSM). At the same time, a comparative analysis is made regarding the values of the natural frequencies of a cutting tool resulting from the analytical modeling, numerical and with the experimental results.","PeriodicalId":321907,"journal":{"name":"2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133490638","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

Using Machine Learning Algorithms to create a Credit Scoring Model for mobile money users 使用机器学习算法为移动货币用户创建信用评分模型

2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2021-05-19 DOI: 10.1109/SACI51354.2021.9465561

Monica Charles Mhina, F. Labeau

引用次数: 2

Open Issues in Agri-food Robot Standardization—the Red Meat Sector 农业食品机器人标准化的开放问题-红肉行业

2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2021-05-19 DOI: 10.1109/SACI51354.2021.9465611

Kristóf Takács, A. Mason, L. E. Cordova-Lopez, T. Haidegger

{"title":"Open Issues in Agri-food Robot Standardization—the Red Meat Sector","authors":"Kristóf Takács, A. Mason, L. E. Cordova-Lopez, T. Haidegger","doi":"10.1109/SACI51354.2021.9465611","DOIUrl":"https://doi.org/10.1109/SACI51354.2021.9465611","url":null,"abstract":"Ensuring the safety of equipment, operator and the environment during robotic operation is paramount. Robotic systems are appearing in more and more professional service applications, while mechanic and control system components are evolving fast themselves, the legislation and standards regarding these topics are lagging behind. In connection with the RoBUTCHER project – which is a pioneer research effort employing industrial robots for completely automated slaughtering – it was revealed that there are no particular standards regulating directly robotics applied to the agri-food application domain. More specifically, the meat industry and the red meat sector within has only seen hygienic standards regarding machinery, not considering human–robot collaboration or safe autonomous robot operation in the abattoirs. The purpose of this paper is to provide a general overview of the relevant standards (and similar guiding documents) that could be used as pathfinders during the development of inherently safe robotic systems. Exploring the standard and legislation landscape should offer some instrumental help regarding the foreseen certification process of meat processing robots and robot cells in the near future.","PeriodicalId":321907,"journal":{"name":"2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125961462","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: 1

G Suite Configuration for Education and Teaching Mechatronics G套件配置的教育和教学机电一体化

2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2021-05-19 DOI: 10.1109/SACI51354.2021.9465599

Marius-Florin Crainic, Stefan Ioan Faur, S. Preitl

引用次数: 1