Costel Anton - Academia.edu (original) (raw)

Papers by Costel Anton

Research paper thumbnail of Assessment of the Impact of Changes in the Combustion Process in a Brick-Making Plant which the Manufacturing Mix Changes

Zenodo (CERN European Organization for Nuclear Research), Mar 27, 2022

In this paper, the influence of the use of two auxiliary raw materials-sawdust and sunflower seed... more In this paper, the influence of the use of two auxiliary raw materials-sawdust and sunflower seed husks-on the oxygen consumption of the air brought in the process and the impact on the combustion products was analyzed on an industrial installation in real working conditions. It has been found that although in the case of recipes that use sunflower seed husks a smaller amount of gas with energy potential is released, it is preferable to use them because the amount of nitrogen oxides exhausted in the chimney of the furnace is lower.

Research paper thumbnail of Clinical Study on the Evaluation of Corneal Biomechanical Properties in Patients with Diabetes and Glaucoma

Clinical Study on the Evaluation of Corneal Biomechanical Properties in Patients with Diabetes and Glaucoma

2019 E-Health and Bioengineering Conference (EHB), 2019

The purpose of this study is to evaluate the corneal biomechanical properties in patients with gl... more The purpose of this study is to evaluate the corneal biomechanical properties in patients with glaucoma and diabetes. Material and methods: This is a prospective, comparative, observational study that included a total of 156 subjects, of which 48 healthy (96 eyes), 45 (90 eyes) with primary open angle glaucoma, 45 (90 eyes) with primary open angle glaucoma associated with diabetes and 17 (34 eyes) with diabetes only. All the patients were selected from St. Spiridon Hospital-Iasi, Euro Medi Center Clinic Iasi, Diabetes department and Oftaprof Clinic- Iasi. For all patients corneal viscoelasticity was measured by corneal hysteresis (CH), corneal resistance factor (CRF), corneal compensated PIO (IOPcc), Goldmann correlated IOP (IOPg), measured using the Reichert ORA (Ocular Response Analyzer) II. Results: The evaluation of the central corneal thickness did not reveal statistically significant differences between the study groups, neither in the right eye (p = 0.561) nor in the left eye...

Research paper thumbnail of Machine Learning Methods Applied for Modeling the Process of Obtaining Bricks Using Silicon-Based Materials

Materials, Nov 26, 2021

This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY

Research paper thumbnail of Obtaining Bricks Using Silicon-Based Materials: Experiments, Modeling and Optimization with Artificial Intelligence Tools

Mathematics

In the brick manufacturing industry, there is a growing concern among researchers to find solutio... more In the brick manufacturing industry, there is a growing concern among researchers to find solutions to reduce energy consumption. An industrial process for obtaining bricks was approached, with the manufacturing mix modified via the introduction of sunflower seed husks and sawdust. The process was analyzed with artificial intelligence tools, with the goal of minimizing the exhaust emissions of CO and CH4. Optimization algorithms inspired by human and virus behaviors were applied in this approach, which were associated with neural network models. A series of feed-forward neural networks have been developed, with 6 inputs corresponding to the working conditions, one or two intermediate layers and one output (CO or CH4, respectively). The results for ten biologically inspired algorithms and a search grid method were compared successfully within a single objective optimization procedure. It was established that by introducing 1.9% sunflower seed husks and 0.8% sawdust in the brick manuf...

Research paper thumbnail of Machine Learning Methods Applied for Modeling the Process of Obtaining Bricks Using Silicon-Based Materials

Machine Learning Methods Applied for Modeling the Process of Obtaining Bricks Using Silicon-Based Materials

Materials, 2021

Most of the time, industrial brick manufacture facilities are designed and commissioned for a par... more Most of the time, industrial brick manufacture facilities are designed and commissioned for a particular type of manufacture mix and a particular type of burning process. Productivity and product quality maintenance and improvement is a challenge for process engineers. Our paper aims at using machine learning methods to evaluate the impact of adding new auxiliary materials on the amount of exhaust emissions. Experimental determinations made in similar conditions enabled us to build a database containing information about 121 brick batches. Various models (artificial neural networks and regression algorithms) were designed to make predictions about exhaust emission changes when auxiliary materials are introduced into the manufacture mix. The best models were feed-forward neural networks with two hidden layers, having MSE < 0.01 and r2 > 0.82 and, as regression model, kNN with error < 0.6. Also, an optimization procedure, including the best models, was developed in order to d...

Research paper thumbnail of Assessment of the Impact of Changes in the Combustion Process in a Brick-Making Plant which the Manufacturing Mix Changes

Zenodo (CERN European Organization for Nuclear Research), Mar 27, 2022

In this paper, the influence of the use of two auxiliary raw materials-sawdust and sunflower seed... more In this paper, the influence of the use of two auxiliary raw materials-sawdust and sunflower seed husks-on the oxygen consumption of the air brought in the process and the impact on the combustion products was analyzed on an industrial installation in real working conditions. It has been found that although in the case of recipes that use sunflower seed husks a smaller amount of gas with energy potential is released, it is preferable to use them because the amount of nitrogen oxides exhausted in the chimney of the furnace is lower.

Research paper thumbnail of Clinical Study on the Evaluation of Corneal Biomechanical Properties in Patients with Diabetes and Glaucoma

Clinical Study on the Evaluation of Corneal Biomechanical Properties in Patients with Diabetes and Glaucoma

2019 E-Health and Bioengineering Conference (EHB), 2019

The purpose of this study is to evaluate the corneal biomechanical properties in patients with gl... more The purpose of this study is to evaluate the corneal biomechanical properties in patients with glaucoma and diabetes. Material and methods: This is a prospective, comparative, observational study that included a total of 156 subjects, of which 48 healthy (96 eyes), 45 (90 eyes) with primary open angle glaucoma, 45 (90 eyes) with primary open angle glaucoma associated with diabetes and 17 (34 eyes) with diabetes only. All the patients were selected from St. Spiridon Hospital-Iasi, Euro Medi Center Clinic Iasi, Diabetes department and Oftaprof Clinic- Iasi. For all patients corneal viscoelasticity was measured by corneal hysteresis (CH), corneal resistance factor (CRF), corneal compensated PIO (IOPcc), Goldmann correlated IOP (IOPg), measured using the Reichert ORA (Ocular Response Analyzer) II. Results: The evaluation of the central corneal thickness did not reveal statistically significant differences between the study groups, neither in the right eye (p = 0.561) nor in the left eye...

Research paper thumbnail of Machine Learning Methods Applied for Modeling the Process of Obtaining Bricks Using Silicon-Based Materials

Materials, Nov 26, 2021

This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY

Research paper thumbnail of Obtaining Bricks Using Silicon-Based Materials: Experiments, Modeling and Optimization with Artificial Intelligence Tools

Mathematics

In the brick manufacturing industry, there is a growing concern among researchers to find solutio... more In the brick manufacturing industry, there is a growing concern among researchers to find solutions to reduce energy consumption. An industrial process for obtaining bricks was approached, with the manufacturing mix modified via the introduction of sunflower seed husks and sawdust. The process was analyzed with artificial intelligence tools, with the goal of minimizing the exhaust emissions of CO and CH4. Optimization algorithms inspired by human and virus behaviors were applied in this approach, which were associated with neural network models. A series of feed-forward neural networks have been developed, with 6 inputs corresponding to the working conditions, one or two intermediate layers and one output (CO or CH4, respectively). The results for ten biologically inspired algorithms and a search grid method were compared successfully within a single objective optimization procedure. It was established that by introducing 1.9% sunflower seed husks and 0.8% sawdust in the brick manuf...

Research paper thumbnail of Machine Learning Methods Applied for Modeling the Process of Obtaining Bricks Using Silicon-Based Materials

Machine Learning Methods Applied for Modeling the Process of Obtaining Bricks Using Silicon-Based Materials

Materials, 2021

Most of the time, industrial brick manufacture facilities are designed and commissioned for a par... more Most of the time, industrial brick manufacture facilities are designed and commissioned for a particular type of manufacture mix and a particular type of burning process. Productivity and product quality maintenance and improvement is a challenge for process engineers. Our paper aims at using machine learning methods to evaluate the impact of adding new auxiliary materials on the amount of exhaust emissions. Experimental determinations made in similar conditions enabled us to build a database containing information about 121 brick batches. Various models (artificial neural networks and regression algorithms) were designed to make predictions about exhaust emission changes when auxiliary materials are introduced into the manufacture mix. The best models were feed-forward neural networks with two hidden layers, having MSE < 0.01 and r2 > 0.82 and, as regression model, kNN with error < 0.6. Also, an optimization procedure, including the best models, was developed in order to d...