Javier Ascanio, Brayan Eduardo Tarazona Romero, Camilo Leonardo Sandoval Rodríguez, Omar Lengerke Pérez, Luis Alfonso Betancur Arboleda
{"title":"Analysis of the thermal sensation in single-family home from microclimatic monitoring: Case study Bucaramanga Colombia","authors":"Javier Ascanio, Brayan Eduardo Tarazona Romero, Camilo Leonardo Sandoval Rodríguez, Omar Lengerke Pérez, Luis Alfonso Betancur Arboleda","doi":"10.21533/pen.v11i2.3181","DOIUrl":"https://doi.org/10.21533/pen.v11i2.3181","url":null,"abstract":"","PeriodicalId":37519,"journal":{"name":"Periodicals of Engineering and Natural Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41966404","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 : 2023-03-05DOI: 10.28978/nesciences.1331296
C. Turan, D. Yağlioğlu, S. Doğdu, D. Ergüden, Petya PAVLOVA IVANOVA, V. Raykov
The first morphologic and genetic documentation of the short-beaked garfish Belone svetovidovi Collette & Parin, 1970 from the coast of the Marmara Sea (Yalova) and Black Sea (Akcakoca) is reported in the present study. The morphological characters and genetic (mtDNA COI) analyses confirmed the existence of this species both in the Marmara and Black Seas. B. svetovidovi is genetically distinct from the anther species of this genus Belone belone. All morphologic measurements, counts, and colour descriptions of B. svetovidovi agree with its previous descriptions.
{"title":"Existence of Belone svetovidovi Collette & Parin, 1970 (Family: Belonidae) in the Marmara Sea and Black Sea Coasts of Türkiye","authors":"C. Turan, D. Yağlioğlu, S. Doğdu, D. Ergüden, Petya PAVLOVA IVANOVA, V. Raykov","doi":"10.28978/nesciences.1331296","DOIUrl":"https://doi.org/10.28978/nesciences.1331296","url":null,"abstract":"The first morphologic and genetic documentation of the short-beaked garfish Belone svetovidovi Collette & Parin, 1970 from the coast of the Marmara Sea (Yalova) and Black Sea (Akcakoca) is reported in the present study. The morphological characters and genetic (mtDNA COI) analyses confirmed the existence of this species both in the Marmara and Black Seas. B. svetovidovi is genetically distinct from the anther species of this genus Belone belone. All morphologic measurements, counts, and colour descriptions of B. svetovidovi agree with its previous descriptions.","PeriodicalId":37519,"journal":{"name":"Periodicals of Engineering and Natural Sciences","volume":"65 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80356085","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}
R. H. Al-Brees, M. A. Abu Mahadi, T. S. Al-Gasham, A. Naji
Latest structure construction crafts frequent use of composite steel-concrete arches for building and bridge applications. The leading goal of this research is to describe a three-dimensional finite element model capable of describing the response of a composite steel-concrete arch. The commercial software Abaqus was implemented to develop the proposed approach, where a certain experimental test results in the literature on a scaled steel-concrete composite arch have been compared to validate the accuracy and adequacy of the proposed finite element model. Furthermore, the current research developed a finite element model to study the fundamental behavior of a composite steel box-concrete arch with a specific parameter. These parameters including the degree of curvature, the number of the shear connector, and the support conditions have been considered the main study parameters. The proposed model has presented an excellent prediction of the initial stiffness, the ultimate strength, and the ductility of the composite arch. The Representative behavior was affected significantly by the designated variable for the steel box section with composite deck. Therefore, these findings may be crafted with the aim of structural design rules.
{"title":"Three-dimensional final element analysis of composite steel - concrete aches","authors":"R. H. Al-Brees, M. A. Abu Mahadi, T. S. Al-Gasham, A. Naji","doi":"10.21533/pen.v11i2.3448","DOIUrl":"https://doi.org/10.21533/pen.v11i2.3448","url":null,"abstract":"Latest structure construction crafts frequent use of composite steel-concrete arches for building and bridge applications. The leading goal of this research is to describe a three-dimensional finite element model capable of describing the response of a composite steel-concrete arch. The commercial software Abaqus was implemented to develop the proposed approach, where a certain experimental test results in the literature on a scaled steel-concrete composite arch have been compared to validate the accuracy and adequacy of the proposed finite element model. Furthermore, the current research developed a finite element model to study the fundamental behavior of a composite steel box-concrete arch with a specific parameter. These parameters including the degree of curvature, the number of the shear connector, and the support conditions have been considered the main study parameters. The proposed model has presented an excellent prediction of the initial stiffness, the ultimate strength, and the ductility of the composite arch. The Representative behavior was affected significantly by the designated variable for the steel box section with composite deck. Therefore, these findings may be crafted with the aim of structural design rules.","PeriodicalId":37519,"journal":{"name":"Periodicals of Engineering and Natural Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41697991","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}
In this work, the plasma glow discharge characteristics of nitrogen gas will be studied and analyzed at different pressures, and we will study the effect of these pressures on the I-V curve, the Panchen curve, the I-P curve, the current-voltage curve, and their effect on the electrical conductivity of the generated plasma. The distance between the glow electrodes was (15.5) cm. The pressures that were used in this work were (0.025, 0.05, 1.5, 5) T. The results indicated that the discharge was operating in the atypical glow region. On the other hand, the discharge current decreased as the gas pressure increased. On the other hand. Also, the conductivity decreased in its values with the increase in applied pressure as well as the voltage of the plasma focus.
{"title":"Characterization and analysis of N2 plasma DC glow discharge at different voltage","authors":"Suzan M. Haji","doi":"10.21533/pen.v11i1.3449","DOIUrl":"https://doi.org/10.21533/pen.v11i1.3449","url":null,"abstract":"In this work, the plasma glow discharge characteristics of nitrogen gas will be studied and analyzed at different pressures, and we will study the effect of these pressures on the I-V curve, the Panchen curve, the I-P curve, the current-voltage curve, and their effect on the electrical conductivity of the generated plasma. The distance between the glow electrodes was (15.5) cm. The pressures that were used in this work were (0.025, 0.05, 1.5, 5) T. The results indicated that the discharge was operating in the atypical glow region. On the other hand, the discharge current decreased as the gas pressure increased. On the other hand. Also, the conductivity decreased in its values with the increase in applied pressure as well as the voltage of the plasma focus.","PeriodicalId":37519,"journal":{"name":"Periodicals of Engineering and Natural Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48168590","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}
Jessica Gissella Maradey Lázaro, B. J. Blanco, A. Rincón-Quintero, Camilo Leonardo Sandoval Rodríguez
The globalization of markets and high competitiveness impose new challenges every day on companies that develop their activities in the field of logistics, e-commerce, service, and product distribution. The implementation of automated systems becomes relevant when the objective is to increase productivity, efficiency and reduce costs associated with handling, picking and overhead. The AS / RS systems (i.e., Automated Storage and Retrieval System) are automated machines able to move in the 3 coordinate axes (x, y, z), which are responsible for arranging the items in large warehouses generating a decrease in time delivery and storage. The aim of the article is to show the design of a prototype of an AS / RS (CAD) machine based on Finite Element Analysis (FEA) to verify the behavior before static loads according to Von Misses criteria and to guarantee the appropriate administration, storage, and extraction of each item in the warehouse, respectively. Also, it shows the use of the selection matrix that facilitates the interaction with the articles and executes the primary functions according to customer requirements. The result of this research shows the advantages and disadvantages of the implementation of these systems for companies that manage high volumes of storage, limited physical space and that require an appropriate management of the elements through the help of an easy-to-implement human-machine interface (HMI) that has control over open loop.
{"title":"Design of an AS/RS machine for storage and extraction of items in a warehouse using Finite Element Analysis (FEA)","authors":"Jessica Gissella Maradey Lázaro, B. J. Blanco, A. Rincón-Quintero, Camilo Leonardo Sandoval Rodríguez","doi":"10.21533/pen.v11i2.3172","DOIUrl":"https://doi.org/10.21533/pen.v11i2.3172","url":null,"abstract":"The globalization of markets and high competitiveness impose new challenges every day on companies that develop their activities in the field of logistics, e-commerce, service, and product distribution. The implementation of automated systems becomes relevant when the objective is to increase productivity, efficiency and reduce costs associated with handling, picking and overhead. The AS / RS systems (i.e., Automated Storage and Retrieval System) are automated machines able to move in the 3 coordinate axes (x, y, z), which are responsible for arranging the items in large warehouses generating a decrease in time delivery and storage. The aim of the article is to show the design of a prototype of an AS / RS (CAD) machine based on Finite Element Analysis (FEA) to verify the behavior before static loads according to Von Misses criteria and to guarantee the appropriate administration, storage, and extraction of each item in the warehouse, respectively. Also, it shows the use of the selection matrix that facilitates the interaction with the articles and executes the primary functions according to customer requirements. The result of this research shows the advantages and disadvantages of the implementation of these systems for companies that manage high volumes of storage, limited physical space and that require an appropriate management of the elements through the help of an easy-to-implement human-machine interface (HMI) that has control over open loop.","PeriodicalId":37519,"journal":{"name":"Periodicals of Engineering and Natural Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41392682","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}
Abbas Y. Al Jawei, H. Ghafouri, Alkhafaji R. Abood
The present study develops a wet quality model based on fuzzy approach to assessment of the surface wet quality in Al-Gharraf River located in the South of Iraq. The wet quality parameters, including Total Dissolved Solids (TDS), Biological Oxygen Demand (BOD), Chloride (CL), Sulphate (SO4), Nitrate (NO3), and Phosphate (PO4), were selected as input parameters to fuzzy wet quality model (FWQ). To evaluate the performance of the proposed model (FWQ) of Al-Gharraf River in the period of the study, the produces of our model were compared with those of the wet quality index (WQI) and Canadian Wet Quality Index (CWQI). They showed similar results and were sensitive to changes in the level of wet quality parameters. However, the model proposed in the present study produced a more stringent produces compared to the WQI and CWQI. Results from the simulation indicate that the sensitivity analysis of the suggested approach will be improved by almost (17%, and 24%) more than that achieved by the processes WQI and CWQI, respectively. In conclusion, the proposed index seems to produce accurate and reliable results and can be used as a comprehensive tool for wet quality assessment.
{"title":"Developing a wet quality model using fuzzy approach for the Al-Gharraf River in Southern Iraq","authors":"Abbas Y. Al Jawei, H. Ghafouri, Alkhafaji R. Abood","doi":"10.21533/pen.v11i1.2974","DOIUrl":"https://doi.org/10.21533/pen.v11i1.2974","url":null,"abstract":"The present study develops a wet quality model based on fuzzy approach to assessment of the surface wet quality in Al-Gharraf River located in the South of Iraq. The wet quality parameters, including Total Dissolved Solids (TDS), Biological Oxygen Demand (BOD), Chloride (CL), Sulphate (SO4), Nitrate (NO3), and Phosphate (PO4), were selected as input parameters to fuzzy wet quality model (FWQ). To evaluate the performance of the proposed model (FWQ) of Al-Gharraf River in the period of the study, the produces of our model were compared with those of the wet quality index (WQI) and Canadian Wet Quality Index (CWQI). They showed similar results and were sensitive to changes in the level of wet quality parameters. However, the model proposed in the present study produced a more stringent produces compared to the WQI and CWQI. Results from the simulation indicate that the sensitivity analysis of the suggested approach will be improved by almost (17%, and 24%) more than that achieved by the processes WQI and CWQI, respectively. In conclusion, the proposed index seems to produce accurate and reliable results and can be used as a comprehensive tool for wet quality assessment.","PeriodicalId":37519,"journal":{"name":"Periodicals of Engineering and Natural Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44568044","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}
Ameena Kareem Essa, Laith Fadhil S. H., Dhamyaa Hamid Shihab
The educational sector is one of the important sectors in the world, and it is considered one of the means of community development. In addition, it is one of the means of making the country’s renaissance and development because it represents the factory of thinking minds that make change. There is no doubt that this sector is the same as any other sector. The deficit in the studied scientific planning has been prolonged, which led to its deterioration, and the problems of education remain diverse and inherited from previous time periods, where the hierarchical cluster analysis was used on postgraduate students in universities in Iraq, except for Kurdistan region, and the number of universities that were included in the study was (30) universities. In the whole of Iraq for the year 2020, when using the comparison measures the Cophenetic Correlation Coefficient (CCC) and the Coefficient Delta (DC), it was found that the Complete Linkage Method is the best among the hierarchical methods, as the value of (CCC) is 0.952061, and the value of (DC(0.1)) it is 0.288973, and in the case (DC(0.5)) it is 0.26877, then followed by Median method, Ward's method and finally Single Linage Method.
{"title":"A comparison between the hierarchical clustering methods for postgraduate students in Iraqi universities for the year 2019-2020 using the cophenetic and delta correlation coefficients","authors":"Ameena Kareem Essa, Laith Fadhil S. H., Dhamyaa Hamid Shihab","doi":"10.21533/pen.v11i1.3454","DOIUrl":"https://doi.org/10.21533/pen.v11i1.3454","url":null,"abstract":"The educational sector is one of the important sectors in the world, and it is considered one of the means of community development. In addition, it is one of the means of making the country’s renaissance and development because it represents the factory of thinking minds that make change. There is no doubt that this sector is the same as any other sector. The deficit in the studied scientific planning has been prolonged, which led to its deterioration, and the problems of education remain diverse and inherited from previous time periods, where the hierarchical cluster analysis was used on postgraduate students in universities in Iraq, except for Kurdistan region, and the number of universities that were included in the study was (30) universities. In the whole of Iraq for the year 2020, when using the comparison measures the Cophenetic Correlation Coefficient (CCC) and the Coefficient Delta (DC), it was found that the Complete Linkage Method is the best among the hierarchical methods, as the value of (CCC) is 0.952061, and the value of (DC(0.1)) it is 0.288973, and in the case (DC(0.5)) it is 0.26877, then followed by Median method, Ward's method and finally Single Linage Method.","PeriodicalId":37519,"journal":{"name":"Periodicals of Engineering and Natural Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46779867","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}
To ensure that the FC-GDN is properly calibrated for the EEG-ImageNet dataset, we subject it to extensive training and gather all of the relevant weights for its parameters. Making use of the FC-GDN pseudo-code. The dataset is split into a "train" and "test" section in Kfold cross-validation. Ten-fold recommends using ten folds, with one fold being selected as the test split at each iteration. This divides the dataset into 90% training data and 10% test data. In order to train all 10 folds without overfitting, it is necessary to apply this procedure repeatedly throughout the whole dataset. Each training fold is arrived at after several iterations. After training all ten folds, results are analyzed. For each iteration, the FC-GDN weights are optimized by the SGD and ADAM optimizers. The ideal network design parameters are based on the convergence of the trains and the precision of the tests. This study offers a novel geometric deep learning-based network architecture for classifying visual stimulation categories using electroencephalogram (EEG) data from human participants while they watched various sorts of images. The primary goals of this study are to (1) eliminate feature extraction from GDL-based approaches and (2) extract brain states via functional connectivity. Tests with the EEG-ImageNet database validate the suggested method's efficacy. FC-GDN is more efficient than other cutting-edge approaches for boosting classification accuracy, requiring fewer iterations. In computational neuroscience, neural decoding addresses the problem of mind-reading. Because of its simplicity of use and temporal precision, Electroencephalographys (EEG) are commonly employed to monitor brain activity. Deep neural networks provide a variety of ways to detecting brain activity. Using a Function Connectivity (FC) - Geometric Deep Network (GDN) and EEG channel functional connectivity, this work directly recovers hidden states from high-resolution temporal data. The time samples taken from each channel are utilized to represent graph signals on a topological connection network based on EEG channel functional connectivity. A novel graph neural network architecture evaluates users' visual perception state utilizing extracted EEG patterns associated to various picture categories using graphically rendered EEG recordings as training data. The efficient graph representation of EEG signals serves as the foundation for this design. Proposal for an FC-GDN EEG-ImageNet test. Each category has a maximum of 50 samples. Nine separate EEG recorders were used to obtain these images. The FC-GDN approach yields 99.4% accuracy, which is 0.1% higher than the most sophisticated method presently available
{"title":"EEG-based image classification using an efficient geometric deep network based on functional connectivity","authors":"H. Hasan, Mais A. Al-Sharqi","doi":"10.21533/pen.v11i1.3450","DOIUrl":"https://doi.org/10.21533/pen.v11i1.3450","url":null,"abstract":"To ensure that the FC-GDN is properly calibrated for the EEG-ImageNet dataset, we subject it to extensive training and gather all of the relevant weights for its parameters. Making use of the FC-GDN pseudo-code. The dataset is split into a \"train\" and \"test\" section in Kfold cross-validation. Ten-fold recommends using ten folds, with one fold being selected as the test split at each iteration. This divides the dataset into 90% training data and 10% test data. In order to train all 10 folds without overfitting, it is necessary to apply this procedure repeatedly throughout the whole dataset. Each training fold is arrived at after several iterations. After training all ten folds, results are analyzed. For each iteration, the FC-GDN weights are optimized by the SGD and ADAM optimizers. The ideal network design parameters are based on the convergence of the trains and the precision of the tests. This study offers a novel geometric deep learning-based network architecture for classifying visual stimulation categories using electroencephalogram (EEG) data from human participants while they watched various sorts of images. The primary goals of this study are to (1) eliminate feature extraction from GDL-based approaches and (2) extract brain states via functional connectivity. Tests with the EEG-ImageNet database validate the suggested method's efficacy. FC-GDN is more efficient than other cutting-edge approaches for boosting classification accuracy, requiring fewer iterations. In computational neuroscience, neural decoding addresses the problem of mind-reading. Because of its simplicity of use and temporal precision, Electroencephalographys (EEG) are commonly employed to monitor brain activity. Deep neural networks provide a variety of ways to detecting brain activity. Using a Function Connectivity (FC) - Geometric Deep Network (GDN) and EEG channel functional connectivity, this work directly recovers hidden states from high-resolution temporal data. The time samples taken from each channel are utilized to represent graph signals on a topological connection network based on EEG channel functional connectivity. A novel graph neural network architecture evaluates users' visual perception state utilizing extracted EEG patterns associated to various picture categories using graphically rendered EEG recordings as training data. The efficient graph representation of EEG signals serves as the foundation for this design. Proposal for an FC-GDN EEG-ImageNet test. Each category has a maximum of 50 samples. Nine separate EEG recorders were used to obtain these images. The FC-GDN approach yields 99.4% accuracy, which is 0.1% higher than the most sophisticated method presently available","PeriodicalId":37519,"journal":{"name":"Periodicals of Engineering and Natural Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47158624","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}
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