Pub Date : 2023-01-01DOI: 10.6703/ijase.202306_20(2).010
R. Hussein
The most interested point is to find the natural frequency of a nano-composites plate and its study analytically and numerically by ANSYS software. Very good mechanical properties of carbon nanotubes give them importance for reinforcing the composite plate to get acceptable property for a new material. The Polyprime EP epoxy as a matrix, which is strengthened via Multi-Walled Carbon Nanotubes (MWCNTs), has been analyzed. Three loading ratios (0.1, 0.5 and 1 wt.%) of MWCNTs have been added to epoxy using a magnetic stirrer, and then hardener was added and blended with them. Tensile tests were conducted upon unfilled, MWCNT-filled epoxy to find the materials' mechanical properties. A CNC machine was used to cut all samples. Scanning Electron Microscopy (SEM) was utilized to obtain the nanotubes' dispersal status into the base matrix. Higher Order Shear Deformation Plate Theory (HSDT) and ANSYS software were employed for finding the natural frequency for the three loading ratios. The results of tensile tests manifested an enhancement in the Young’s modulus for higher supplement percentages of MWCNT. And, the maximum tensile strength was obtained at 0.5 wt.% of MWCNT with the ratio 66.7%. The SEM images explicated that the sample of 0.1 wt.% MWCNT possesses less voids in comparison with the other samples. The effect of increasing loading ratio from 0.1 wt.% to 0.5 wt.% increased the frequency by 5.9%.
{"title":"Vibration analysis of nano-composite plate based on HSPT and numerical analysis","authors":"R. Hussein","doi":"10.6703/ijase.202306_20(2).010","DOIUrl":"https://doi.org/10.6703/ijase.202306_20(2).010","url":null,"abstract":"The most interested point is to find the natural frequency of a nano-composites plate and its study analytically and numerically by ANSYS software. Very good mechanical properties of carbon nanotubes give them importance for reinforcing the composite plate to get acceptable property for a new material. The Polyprime EP epoxy as a matrix, which is strengthened via Multi-Walled Carbon Nanotubes (MWCNTs), has been analyzed. Three loading ratios (0.1, 0.5 and 1 wt.%) of MWCNTs have been added to epoxy using a magnetic stirrer, and then hardener was added and blended with them. Tensile tests were conducted upon unfilled, MWCNT-filled epoxy to find the materials' mechanical properties. A CNC machine was used to cut all samples. Scanning Electron Microscopy (SEM) was utilized to obtain the nanotubes' dispersal status into the base matrix. Higher Order Shear Deformation Plate Theory (HSDT) and ANSYS software were employed for finding the natural frequency for the three loading ratios. The results of tensile tests manifested an enhancement in the Young’s modulus for higher supplement percentages of MWCNT. And, the maximum tensile strength was obtained at 0.5 wt.% of MWCNT with the ratio 66.7%. The SEM images explicated that the sample of 0.1 wt.% MWCNT possesses less voids in comparison with the other samples. The effect of increasing loading ratio from 0.1 wt.% to 0.5 wt.% increased the frequency by 5.9%.","PeriodicalId":13778,"journal":{"name":"International Journal of Applied Science and Engineering","volume":"36 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78725664","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: 10.6703/ijase.202303_20(1).010
Helsin Wang, K. Hsu, Chih-Hsin Hu, Chih-Hsien Hsieh, Ying-Tzu Ke
{"title":"Brine seepage tracing in a damaged dam slope using elapsed-time electrical resistivity tomography","authors":"Helsin Wang, K. Hsu, Chih-Hsin Hu, Chih-Hsien Hsieh, Ying-Tzu Ke","doi":"10.6703/ijase.202303_20(1).010","DOIUrl":"https://doi.org/10.6703/ijase.202303_20(1).010","url":null,"abstract":"","PeriodicalId":13778,"journal":{"name":"International Journal of Applied Science and Engineering","volume":"106 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80834651","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: 10.6703/ijase.202306_20(2).009
Siva Manohar Reddy Kesu, Hariharan Ramasangu
Developing a whole kidney model is important for effective diagnostic procedures and treating kidney diseases. The modeling of a multi-nephron network aids in developing the whole kidney model. The key aspect of any nephron model is understanding the pressure dynamics. The governing equations for pressure dynamics in the kidney depend on the number of nephrons and their interactions. There are mathematical models to analyze the local and global behaviors of single and coupled nephrons. It is difficult to formulate governing equations for a whole kidney model. This necessitates the development of simulation models. Even the simulation models have only been developed for 72 nephrons. The complexity is involved in incorporating both local and global behaviors of nephrons. In this paper, a cellular automata (CA) framework has been proposed to study the global behavior of nephrons. The advantage of the proposed CA framework is its scalability and its ability to capture global dynamics without formulating the corresponding governing equations. The limitation of the CA framework is its inability to compare point-to-point local behavior. But the clinical findings suggest that global behavior gives significant information about the kidney. We have developed CA rules for 8-nephron, 16-nephron, 72-nephron and 100-nephron network models considering both rigid and compliance tubules. The CA rules with various initialization schemes produce different evolutionary patterns similar to the emergent dynamical behavior of nephrons obtained from experimental and numerical findings. Evolutionary patterns of the CA framework are related to normotensive and hypertensive pressure dynamics. The in-phase and out-of-phase synchronizations have also been observed in the CA evolutionary patterns. The irregular rhythm of the cardiovascular system may give rise to shock waves in the pressure dynamics of the kidney. This behavior has also been observed in the proposed CA framework.
{"title":"Pressure flow dynamics in cellular automata based nephron network model","authors":"Siva Manohar Reddy Kesu, Hariharan Ramasangu","doi":"10.6703/ijase.202306_20(2).009","DOIUrl":"https://doi.org/10.6703/ijase.202306_20(2).009","url":null,"abstract":"Developing a whole kidney model is important for effective diagnostic procedures and treating kidney diseases. The modeling of a multi-nephron network aids in developing the whole kidney model. The key aspect of any nephron model is understanding the pressure dynamics. The governing equations for pressure dynamics in the kidney depend on the number of nephrons and their interactions. There are mathematical models to analyze the local and global behaviors of single and coupled nephrons. It is difficult to formulate governing equations for a whole kidney model. This necessitates the development of simulation models. Even the simulation models have only been developed for 72 nephrons. The complexity is involved in incorporating both local and global behaviors of nephrons. In this paper, a cellular automata (CA) framework has been proposed to study the global behavior of nephrons. The advantage of the proposed CA framework is its scalability and its ability to capture global dynamics without formulating the corresponding governing equations. The limitation of the CA framework is its inability to compare point-to-point local behavior. But the clinical findings suggest that global behavior gives significant information about the kidney. We have developed CA rules for 8-nephron, 16-nephron, 72-nephron and 100-nephron network models considering both rigid and compliance tubules. The CA rules with various initialization schemes produce different evolutionary patterns similar to the emergent dynamical behavior of nephrons obtained from experimental and numerical findings. Evolutionary patterns of the CA framework are related to normotensive and hypertensive pressure dynamics. The in-phase and out-of-phase synchronizations have also been observed in the CA evolutionary patterns. The irregular rhythm of the cardiovascular system may give rise to shock waves in the pressure dynamics of the kidney. This behavior has also been observed in the proposed CA framework.","PeriodicalId":13778,"journal":{"name":"International Journal of Applied Science and Engineering","volume":"11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74062132","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: 10.6703/ijase.202303_20(1).008
Jaran Ratanachotinun
{"title":"The feasibility of eco-concrete mixed with used plastic bottles to replace coarse aggregate for construction in Thailand community","authors":"Jaran Ratanachotinun","doi":"10.6703/ijase.202303_20(1).008","DOIUrl":"https://doi.org/10.6703/ijase.202303_20(1).008","url":null,"abstract":"","PeriodicalId":13778,"journal":{"name":"International Journal of Applied Science and Engineering","volume":"46 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86047495","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: 10.6703/ijase.202309_20(3).001
V. Shanmugasundaram, G. Srinivasan, M. Lavanya
Utilities have been forced to raise the overall efficiency towards a better position in radial distribution systems (DS). From the literature, it has been proved that reactive power compensation performs well in minimizing the PLoss and enhancing the bus voltage profile within the permissible range in radial DSs. This work presents the salp swarm algorithm (SSA) to solve the problem efficiently. The merit of this technique is that it can offer a global or near-global optimum for capacitor siting and sizing. The main intention of this study is to obtain annual financial benefits using the placement and sizing of capacitors optimally. This can however be achieved by minimizing the objective function composed of cost-based power loss and capacitor cost on radial DS considering three different load levels. The proposed technique has been tested on standard IEEE 69 and modified 12 bus systems. Computational results are compared with the results obtained by the previous published work and proved that SSA can minimize the PLoss more effectively thereby financial benefit.
{"title":"Salp swarm algorithm applied to optimal capacitor allocation problem in distribution network for annual cost savings","authors":"V. Shanmugasundaram, G. Srinivasan, M. Lavanya","doi":"10.6703/ijase.202309_20(3).001","DOIUrl":"https://doi.org/10.6703/ijase.202309_20(3).001","url":null,"abstract":"Utilities have been forced to raise the overall efficiency towards a better position in radial distribution systems (DS). From the literature, it has been proved that reactive power compensation performs well in minimizing the PLoss and enhancing the bus voltage profile within the permissible range in radial DSs. This work presents the salp swarm algorithm (SSA) to solve the problem efficiently. The merit of this technique is that it can offer a global or near-global optimum for capacitor siting and sizing. The main intention of this study is to obtain annual financial benefits using the placement and sizing of capacitors optimally. This can however be achieved by minimizing the objective function composed of cost-based power loss and capacitor cost on radial DS considering three different load levels. The proposed technique has been tested on standard IEEE 69 and modified 12 bus systems. Computational results are compared with the results obtained by the previous published work and proved that SSA can minimize the PLoss more effectively thereby financial benefit.","PeriodicalId":13778,"journal":{"name":"International Journal of Applied Science and Engineering","volume":"9 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":"135401821","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: 10.6703/ijase.202309_20(3).008
Jiachi Wang, Yongqi Fan, Hang Li, Shoulin Yin
To solve the problem of pesticide misuse in judging common wheat diseases, we propose a wheat disease identification scheme combining the VGG convolutional neural network model with WeChat mini program technology. In the model training process, we continuously adjust the structure of the convolutional neural network VGG-16 to realize the real-time and accurate identification model of wheat disease. Specifically, the model parameters are optimized by locally adjusting the convolution layer of the VGG-16 network to achieve accurate maximization. Through the verification, the best accuracy rate of the wheat disease identification model is 85.1%. The mini program is compiled by the WeChat developer tool, which is developed based on WXML, WXSS and JavaScript. After building the wheat disease identification model, it is deployed on a cloud server that works continuously for working 24 h a day. In addition, the mini program posts HTTPS requests as the function of wheat disease identification. The implementation of this scheme can help users identify different types of wheat diseases and provide corresponding solutions according to the results, which is of great significance in underdeveloped agricultural areas.
{"title":"WeChat mini program for wheat diseases recognition based on VGG-16 convolutional neural network","authors":"Jiachi Wang, Yongqi Fan, Hang Li, Shoulin Yin","doi":"10.6703/ijase.202309_20(3).008","DOIUrl":"https://doi.org/10.6703/ijase.202309_20(3).008","url":null,"abstract":"To solve the problem of pesticide misuse in judging common wheat diseases, we propose a wheat disease identification scheme combining the VGG convolutional neural network model with WeChat mini program technology. In the model training process, we continuously adjust the structure of the convolutional neural network VGG-16 to realize the real-time and accurate identification model of wheat disease. Specifically, the model parameters are optimized by locally adjusting the convolution layer of the VGG-16 network to achieve accurate maximization. Through the verification, the best accuracy rate of the wheat disease identification model is 85.1%. The mini program is compiled by the WeChat developer tool, which is developed based on WXML, WXSS and JavaScript. After building the wheat disease identification model, it is deployed on a cloud server that works continuously for working 24 h a day. In addition, the mini program posts HTTPS requests as the function of wheat disease identification. The implementation of this scheme can help users identify different types of wheat diseases and provide corresponding solutions according to the results, which is of great significance in underdeveloped agricultural areas.","PeriodicalId":13778,"journal":{"name":"International Journal of Applied Science and Engineering","volume":"91 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":"135402208","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: 10.6703/ijase.202306_20(2).006
T. K. Murtadha, Ahmed A. H. Alalwany, A. Hussein
{"title":"The effect of installing different arrangements of aluminum fins on the photovoltaic performance","authors":"T. K. Murtadha, Ahmed A. H. Alalwany, A. Hussein","doi":"10.6703/ijase.202306_20(2).006","DOIUrl":"https://doi.org/10.6703/ijase.202306_20(2).006","url":null,"abstract":"","PeriodicalId":13778,"journal":{"name":"International Journal of Applied Science and Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89148118","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: 10.6703/ijase.202303_20(1).007
E. Sari, R. Desmiarti, S. Arief, Zulhadjri, M. Rosadi, Nofri Naldi, Hani Anggraini Hutagaol, E. Kurniawan
The synthesis of precipitated calcium carbonate (PCC) using plant extracts as additives has been developed to modify the morphology, particle size, chemical purity, and stability of PCC to be used for a variety of potential applications. In this study, aloe vera ( Aloe barbadensis Miller ) was used as an additive for the synthesis of PCC. The synthesis of PCC was carried out using a tubular column reactor under the temperatures of 30, 50 and 100℃ and was performed without and with aloe vera extract concentrations of 3, 5, 8 and 10 vol%. Recycled carbon dioxide (CO 2 ) with a flow rate of 1 L/min was used which was obtained from the calcination process. The purity and morphology of synthesized PCC were analyzed using X-ray fluorescence and scanning electron microscope, respectively. The results demonstrated that the increase in the aloe vera concen tration from 3 to 10 vol% produced the aragonite crystals at 100℃. The agglomerated cluster was observed with a rhombohedral shape with 3 and 5 vol% of aloe vera extract under the temperature of 30℃. The obtained PCC yield was 91, 72 and 93% at 30, 50 and 100℃, respectively with 10 vol% of aloe vera extract.
{"title":"Synthesis of precipitated calcium carbonate with the addition of aloe vera extract under different reaction temperatures","authors":"E. Sari, R. Desmiarti, S. Arief, Zulhadjri, M. Rosadi, Nofri Naldi, Hani Anggraini Hutagaol, E. Kurniawan","doi":"10.6703/ijase.202303_20(1).007","DOIUrl":"https://doi.org/10.6703/ijase.202303_20(1).007","url":null,"abstract":"The synthesis of precipitated calcium carbonate (PCC) using plant extracts as additives has been developed to modify the morphology, particle size, chemical purity, and stability of PCC to be used for a variety of potential applications. In this study, aloe vera ( Aloe barbadensis Miller ) was used as an additive for the synthesis of PCC. The synthesis of PCC was carried out using a tubular column reactor under the temperatures of 30, 50 and 100℃ and was performed without and with aloe vera extract concentrations of 3, 5, 8 and 10 vol%. Recycled carbon dioxide (CO 2 ) with a flow rate of 1 L/min was used which was obtained from the calcination process. The purity and morphology of synthesized PCC were analyzed using X-ray fluorescence and scanning electron microscope, respectively. The results demonstrated that the increase in the aloe vera concen tration from 3 to 10 vol% produced the aragonite crystals at 100℃. The agglomerated cluster was observed with a rhombohedral shape with 3 and 5 vol% of aloe vera extract under the temperature of 30℃. The obtained PCC yield was 91, 72 and 93% at 30, 50 and 100℃, respectively with 10 vol% of aloe vera extract.","PeriodicalId":13778,"journal":{"name":"International Journal of Applied Science and Engineering","volume":"19 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74463983","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: 10.6703/ijase.202303_20(1).003
Ankita Ghorui, S. Chatterjee, Roshan Makkar, Arulmozhivarman Pachiyappan, S. Balamurugan
Detection of glaucoma has become critical, as it has arisen as the subsequent essential driver of visual impairment, around the world. At present, most of the algorithms in use rely on pre-trained deep neural networks to produce the best results. However, the high computational time and complexity and the need of a large database, make glaucoma-detection arduous and difficult. Keeping these in mind, this paper proposes a new convolutional neural network architecture, in particular, ProspectNet, which has demonstrated to accomplish a better accuracy with lesser computational time and complexity when tested against two pre-trained networks: VGG16 and DenseNet121. The data set is an amalgamation of two publicly available datasets-DRISHTI-GS and Glaucoma Dataset (Kaggle), comprising ocular colour fundus images of glaucomatous as well as normal eyes. ProspectNet has accomplished a normal AUC (area under the curve) as 0.991, specificity, and precision as 0.98. Confusion matrices also plotted to illustrate the new architecture’s efficacy. These outcomes demonstrate that ProspectNet is a hearty option in contrast to other best in class calculations for a medium sized dataset. The paper suggests three distinct structures for glaucoma detection. One advantage of our approach is that no special feature selection, such as detailed measurements of particular traits like the structure of the optic nerve head, is necessary.
{"title":"Deployment of CNN on colour fundus images for the automatic detection of glaucoma","authors":"Ankita Ghorui, S. Chatterjee, Roshan Makkar, Arulmozhivarman Pachiyappan, S. Balamurugan","doi":"10.6703/ijase.202303_20(1).003","DOIUrl":"https://doi.org/10.6703/ijase.202303_20(1).003","url":null,"abstract":"Detection of glaucoma has become critical, as it has arisen as the subsequent essential driver of visual impairment, around the world. At present, most of the algorithms in use rely on pre-trained deep neural networks to produce the best results. However, the high computational time and complexity and the need of a large database, make glaucoma-detection arduous and difficult. Keeping these in mind, this paper proposes a new convolutional neural network architecture, in particular, ProspectNet, which has demonstrated to accomplish a better accuracy with lesser computational time and complexity when tested against two pre-trained networks: VGG16 and DenseNet121. The data set is an amalgamation of two publicly available datasets-DRISHTI-GS and Glaucoma Dataset (Kaggle), comprising ocular colour fundus images of glaucomatous as well as normal eyes. ProspectNet has accomplished a normal AUC (area under the curve) as 0.991, specificity, and precision as 0.98. Confusion matrices also plotted to illustrate the new architecture’s efficacy. These outcomes demonstrate that ProspectNet is a hearty option in contrast to other best in class calculations for a medium sized dataset. The paper suggests three distinct structures for glaucoma detection. One advantage of our approach is that no special feature selection, such as detailed measurements of particular traits like the structure of the optic nerve head, is necessary.","PeriodicalId":13778,"journal":{"name":"International Journal of Applied Science and Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77015996","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: 10.6703/ijase.202309_20(3).002
Niraj Kumar, Subhash Chandra Yadav
{"title":"Comprehensive analysis of deep learning based text classification models and applications","authors":"Niraj Kumar, Subhash Chandra Yadav","doi":"10.6703/ijase.202309_20(3).002","DOIUrl":"https://doi.org/10.6703/ijase.202309_20(3).002","url":null,"abstract":"","PeriodicalId":13778,"journal":{"name":"International Journal of Applied Science and Engineering","volume":"32 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85927690","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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