In this study, a 19-layer convolutional neural network model is developed for accurate iris segmentation and is trained and validated using five publicly available iris image datasets. An integrodifferential operator is used to create labeled images for CASIA v1.0, CASIA v2.0, and PolyU Iris image datasets. The performance of the proposed model is evaluated based on accuracy, sensitivity, selectivity, precision, and F-score. The accuracy obtained for CASIA v1.0, CASIA v2.0, CASIA Iris Interval, IITD, and PolyU Iris are 0.82, 0.97, 0.9923, 0.9942, and 0.98, respectively. The result shows that the proposed model can accurately predict iris and non-iris regions and thus can be an effective tool for iris segmentation.
{"title":"Deep Learning-Based Iris Segmentation Algorithm for Effective Iris Recognition System","authors":"Sruthi Kunkuma Balasubramanian, Vijayakumar Jeganathan, Thavamani Subramani","doi":"10.46604/peti.2023.10002","DOIUrl":"https://doi.org/10.46604/peti.2023.10002","url":null,"abstract":"In this study, a 19-layer convolutional neural network model is developed for accurate iris segmentation and is trained and validated using five publicly available iris image datasets. An integrodifferential operator is used to create labeled images for CASIA v1.0, CASIA v2.0, and PolyU Iris image datasets. The performance of the proposed model is evaluated based on accuracy, sensitivity, selectivity, precision, and F-score. The accuracy obtained for CASIA v1.0, CASIA v2.0, CASIA Iris Interval, IITD, and PolyU Iris are 0.82, 0.97, 0.9923, 0.9942, and 0.98, respectively. The result shows that the proposed model can accurately predict iris and non-iris regions and thus can be an effective tool for iris segmentation.","PeriodicalId":33402,"journal":{"name":"Proceedings of Engineering and Technology Innovation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45181076","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: 10.46604/peti.2023.10101
T. Admassu
This study aims to investigate the effectiveness of local interpretable model-agnostic explanation (LIME) and Shapley additive explanation (SHAP) approaches for chronic heart disease detection. The efficiency of LIME and SHAP are evaluated by analyzing the diagnostic results of the XGBoost model and the stability and quality of counterfactual explanations. Firstly, 1025 heart disease samples are collected from the University of California Irvine. Then, the performance of LIME and SHAP is compared by using the XGBoost model with various measures, such as consistency and proximity. Finally, Python 3.7 programming language with Jupyter Notebook integrated development environment is used for simulation. The simulation result shows that the XGBoost model achieves 99.79% accuracy, indicating that the counterfactual explanation of the XGBoost model describes the smallest changes in the feature values for changing the diagnosis outcome to the predefined output.
{"title":"Evaluation of Local Interpretable Model-Agnostic Explanation and Shapley Additive Explanation for Chronic Heart Disease Detection","authors":"T. Admassu","doi":"10.46604/peti.2023.10101","DOIUrl":"https://doi.org/10.46604/peti.2023.10101","url":null,"abstract":"This study aims to investigate the effectiveness of local interpretable model-agnostic explanation (LIME) and Shapley additive explanation (SHAP) approaches for chronic heart disease detection. The efficiency of LIME and SHAP are evaluated by analyzing the diagnostic results of the XGBoost model and the stability and quality of counterfactual explanations. Firstly, 1025 heart disease samples are collected from the University of California Irvine. Then, the performance of LIME and SHAP is compared by using the XGBoost model with various measures, such as consistency and proximity. Finally, Python 3.7 programming language with Jupyter Notebook integrated development environment is used for simulation. The simulation result shows that the XGBoost model achieves 99.79% accuracy, indicating that the counterfactual explanation of the XGBoost model describes the smallest changes in the feature values for changing the diagnosis outcome to the predefined output.","PeriodicalId":33402,"journal":{"name":"Proceedings of Engineering and Technology Innovation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43663861","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 recent years, frequency selective surfaces (FSSs) have been extensively investigated in terms of their design and practical applications at microwave and optical frequencies. This study proposes a new design of a FSS layer, which is directly placed over the surface of an antenna to enhance its characteristics such as directivity, frequency selectivity, radiation efficiency, and gain. In the proposed design, two different substrates are used to analyze the improved performance of the FSS layer. For this purpose, FR-4 Epoxy and Duroid 5880 are used for cost effectiveness and to achieve the optimized performance of the antenna. The simulated and measured results are in good agreement, indicating the enhanced performance of antenna for WLAN and WiMAX applications. Finally, it is concluded that the proposed FSS layer ensures the best possible results of the filtering response as the first null gives divergence of more than 10 dB with its peak value layer.
{"title":"Design and Performance Analysis of Band Pass Filter Using Frequency Selective Surface for 5G Communication","authors":"Muhammad Haroon Tariq, Muhammad Noaman Zahid","doi":"10.46604/peti.2023.9313","DOIUrl":"https://doi.org/10.46604/peti.2023.9313","url":null,"abstract":"In recent years, frequency selective surfaces (FSSs) have been extensively investigated in terms of their design and practical applications at microwave and optical frequencies. This study proposes a new design of a FSS layer, which is directly placed over the surface of an antenna to enhance its characteristics such as directivity, frequency selectivity, radiation efficiency, and gain. In the proposed design, two different substrates are used to analyze the improved performance of the FSS layer. For this purpose, FR-4 Epoxy and Duroid 5880 are used for cost effectiveness and to achieve the optimized performance of the antenna. The simulated and measured results are in good agreement, indicating the enhanced performance of antenna for WLAN and WiMAX applications. Finally, it is concluded that the proposed FSS layer ensures the best possible results of the filtering response as the first null gives divergence of more than 10 dB with its peak value layer.","PeriodicalId":33402,"journal":{"name":"Proceedings of Engineering and Technology Innovation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45190496","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}
Md. Aminul Islam, Tanzina Ahmed Rickty, P. Das, Md. Bashirul Haque
Forecasting urban sprawl is important for land-use and transport planning. The aim of this study is to model and predict the future urban sprawl in Sylhet Sadar using remote sensing data. The ordinary least square (OLS) regression model and the geographic information system (GIS) are used for modeling urban expansion. The model is calibrated for the years 2014 to 2017 using eight explanatory variables extracted from the regression model. The regression coefficients of the variables are found statistically significant at a 99% confidence level. The cellular automata (CA) model is then used to analyze, model, and simulate the land-use and land-cover (LULC) changes by incorporating the algorithm of logistic regression (LR). The calibrated model is used to predict the 2020 map, and the result shows that the predicted map and the actual map of 2020 are well agreed. By using the calibrated model, the simulated prediction map of 2035 shows an urban cell expansion of 220% between 2020 and 2035.
{"title":"Modeling and Forecasting Urban Sprawl in Sylhet Sadar Using Remote Sensing Data","authors":"Md. Aminul Islam, Tanzina Ahmed Rickty, P. Das, Md. Bashirul Haque","doi":"10.46604/peti.2023.9617","DOIUrl":"https://doi.org/10.46604/peti.2023.9617","url":null,"abstract":"Forecasting urban sprawl is important for land-use and transport planning. The aim of this study is to model and predict the future urban sprawl in Sylhet Sadar using remote sensing data. The ordinary least square (OLS) regression model and the geographic information system (GIS) are used for modeling urban expansion. The model is calibrated for the years 2014 to 2017 using eight explanatory variables extracted from the regression model. The regression coefficients of the variables are found statistically significant at a 99% confidence level. The cellular automata (CA) model is then used to analyze, model, and simulate the land-use and land-cover (LULC) changes by incorporating the algorithm of logistic regression (LR). The calibrated model is used to predict the 2020 map, and the result shows that the predicted map and the actual map of 2020 are well agreed. By using the calibrated model, the simulated prediction map of 2035 shows an urban cell expansion of 220% between 2020 and 2035.","PeriodicalId":33402,"journal":{"name":"Proceedings of Engineering and Technology Innovation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41600197","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: 10.46604/peti.2023.10526
Ravi Kiran Akella, Mohan Kumar Agrawal, Jayanta Chattopadhyay
The ground motion model (GMM) plays a vital role in the generation of seismic design basis ground motion parameters. Even though many intra-plate GMMs are available, very few of them are based on Peninsular India (PI) region-specific seismological parameters. Hence, it is imperative to develop a GMM using seismological parameters derived from earthquakes in the Peninsular Indian region. In this study, a new GMM is developed for a PI rock site. Due to the scarcity of real earthquakes, artificial earthquake records are simulated to generate a new GMM for PI. The accelerograms of these artificial earthquakes are obtained from the stochastic finite fault simulation technique. Region-specific seismological parameters are obtained from the available PI earthquakes. The generated GMM is compared with other intra-plate GMMs for different earthquake magnitudes. Also, the generated GMM is validated with the Koyna earthquake record and it is observed that the GMM’s predictions are closer to the record.
{"title":"Development of a New Ground Motion Model for a Peninsular Indian Rock Site","authors":"Ravi Kiran Akella, Mohan Kumar Agrawal, Jayanta Chattopadhyay","doi":"10.46604/peti.2023.10526","DOIUrl":"https://doi.org/10.46604/peti.2023.10526","url":null,"abstract":"The ground motion model (GMM) plays a vital role in the generation of seismic design basis ground motion parameters. Even though many intra-plate GMMs are available, very few of them are based on Peninsular India (PI) region-specific seismological parameters. Hence, it is imperative to develop a GMM using seismological parameters derived from earthquakes in the Peninsular Indian region. In this study, a new GMM is developed for a PI rock site. Due to the scarcity of real earthquakes, artificial earthquake records are simulated to generate a new GMM for PI. The accelerograms of these artificial earthquakes are obtained from the stochastic finite fault simulation technique. Region-specific seismological parameters are obtained from the available PI earthquakes. The generated GMM is compared with other intra-plate GMMs for different earthquake magnitudes. Also, the generated GMM is validated with the Koyna earthquake record and it is observed that the GMM’s predictions are closer to the record.","PeriodicalId":33402,"journal":{"name":"Proceedings of Engineering and Technology Innovation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42095975","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}
Digital content manipulation software is working as a boon for people to edit recorded video or audio content. To prevent the unethical use of such readily available altering tools, digital multimedia forensics is becoming increasingly important. Hence, this study aims to identify whether the video and audio of the given digital content are fake or real. For temporal video forgery detection, the convolutional 3D layers are used to build a model which can identify temporal forgeries with an average accuracy of 85% on the validation dataset. Also, the identification of audio forgery, using a ResNet-34 pre-trained model and the transfer learning approach, has been achieved. The proposed model achieves an accuracy of 99% with 0.3% validation loss on the validation part of the logical access dataset, which is better than earlier models in the range of 90-95% accuracy on the validation set.
{"title":"Non-Facial Video Spatiotemporal Forensic Analysis Using Deep Learning Techniques","authors":"Premanand Ghadekar, Vaibhavi Shetty, Prapti Maheshwari, Raj Shah, Anish Shaha, Vaishnav Sonawane","doi":"10.46604/peti.2023.10290","DOIUrl":"https://doi.org/10.46604/peti.2023.10290","url":null,"abstract":"Digital content manipulation software is working as a boon for people to edit recorded video or audio content. To prevent the unethical use of such readily available altering tools, digital multimedia forensics is becoming increasingly important. Hence, this study aims to identify whether the video and audio of the given digital content are fake or real. For temporal video forgery detection, the convolutional 3D layers are used to build a model which can identify temporal forgeries with an average accuracy of 85% on the validation dataset. Also, the identification of audio forgery, using a ResNet-34 pre-trained model and the transfer learning approach, has been achieved. The proposed model achieves an accuracy of 99% with 0.3% validation loss on the validation part of the logical access dataset, which is better than earlier models in the range of 90-95% accuracy on the validation set.","PeriodicalId":33402,"journal":{"name":"Proceedings of Engineering and Technology Innovation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47954394","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}
S. Suresh, Baridu Vinod, S. S. K. Reddy, U. Elaiyarasan
This study investigates the mechanical properties and the wear behavior of Al 7075/Al2O3/SiCNP composites. The hybrid composites are manufactured using the stir casting technique. In this work, the Al 7075 alloy is reinforced with five different weight fractions of Al2O3 and a constant SiCNp, with an average particle size of 50 nm. The aluminum metal matrix composites are examined through surface morphology and X-ray diffraction (XRD) patterns to identify the material behavior. The material characteristics and the wear behavior of the metal composites are examined using a pin-on-disk test. Wear measurements are performed by varying loads, sliding speeds, and sliding distances. The results reveal that the composites reinforced with 4% of Al2O3 particulates exhibit superior properties. The wear rate and the coefficient of friction (COF) decrease with the increase in the reinforcement content.
{"title":"Investigation on Tribological Characteristics of Al 7075 MMNC: Behavior of Micro- and Nano-Sized Composites","authors":"S. Suresh, Baridu Vinod, S. S. K. Reddy, U. Elaiyarasan","doi":"10.46604/peti.2022.8943","DOIUrl":"https://doi.org/10.46604/peti.2022.8943","url":null,"abstract":"This study investigates the mechanical properties and the wear behavior of Al 7075/Al2O3/SiCNP composites. The hybrid composites are manufactured using the stir casting technique. In this work, the Al 7075 alloy is reinforced with five different weight fractions of Al2O3 and a constant SiCNp, with an average particle size of 50 nm. The aluminum metal matrix composites are examined through surface morphology and X-ray diffraction (XRD) patterns to identify the material behavior. The material characteristics and the wear behavior of the metal composites are examined using a pin-on-disk test. Wear measurements are performed by varying loads, sliding speeds, and sliding distances. The results reveal that the composites reinforced with 4% of Al2O3 particulates exhibit superior properties. The wear rate and the coefficient of friction (COF) decrease with the increase in the reinforcement content.","PeriodicalId":33402,"journal":{"name":"Proceedings of Engineering and Technology Innovation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45747003","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}
A good thermal design of buildings plays a key role in reducing the thermal loads of heating and air conditioning systems and thus reducing energy consumption. This study develops a steady-state apparatus for measuring the thermal resistance of building materials by using an absolute technique. The apparatus is designed to accommodate the full and actual size of the tested samples of building materials used in the Syrian market to ease testing. Therefore, suitable samples do not have to be built for the apparatus; the thermal resistance is measured for many samples, and the results are compared with the thermal insulation code for buildings in the Syrian Arab Republic. The results show that the difference between the resistance values obtained from the experiments and the Syrian thermal insulation code is due to the materials used in the local markets and their non-compliance with the code. These materials need testing and quality control during the manufacturing process.
{"title":"Manufacture and Design an Apparatus for Measuring the Thermal Resistance of Building Materials","authors":"Ammar Saliby, B. Kovacs","doi":"10.46604/peti.2022.9500","DOIUrl":"https://doi.org/10.46604/peti.2022.9500","url":null,"abstract":"A good thermal design of buildings plays a key role in reducing the thermal loads of heating and air conditioning systems and thus reducing energy consumption. This study develops a steady-state apparatus for measuring the thermal resistance of building materials by using an absolute technique. The apparatus is designed to accommodate the full and actual size of the tested samples of building materials used in the Syrian market to ease testing. Therefore, suitable samples do not have to be built for the apparatus; the thermal resistance is measured for many samples, and the results are compared with the thermal insulation code for buildings in the Syrian Arab Republic. The results show that the difference between the resistance values obtained from the experiments and the Syrian thermal insulation code is due to the materials used in the local markets and their non-compliance with the code. These materials need testing and quality control during the manufacturing process.","PeriodicalId":33402,"journal":{"name":"Proceedings of Engineering and Technology Innovation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45838363","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}
This study aims to investigate the properties of green concrete made with ground granulated blast-furnace slag (GGBS), Robo sand (RS), and coconut shell (CS). GGBS is the mineral admixture used to replace cement. Nano-silica particles (NSPs) and CS are used as coarse aggregates, and RS is the fine aggregate used to replace river sand. The workability, mechanical properties, and durability properties of green concrete are investigated and compared with those of conventional concrete (CC). Test results show that the cement replaced with 30% GGBS and 3% NSPs exhibits superior strength. The compressive and splitting tensile strengths are increased by 24.03% and 42.32% after 28 days of curing, respectively. The workability is improved by 12.22% (slump) and 13.25% (compaction factor) after 28 days of curing. The sorptivity of HM3 (3.26%) is lower than that of CC due to the uniform distribution between particles. Microstructure evolution is carried out to identify concrete mix behavior.
{"title":"Experimental and Analytical Study of Silica Particles on Self-Healing Concrete","authors":"K. Reddy, K. Kumar","doi":"10.46604/peti.2022.9477","DOIUrl":"https://doi.org/10.46604/peti.2022.9477","url":null,"abstract":"This study aims to investigate the properties of green concrete made with ground granulated blast-furnace slag (GGBS), Robo sand (RS), and coconut shell (CS). GGBS is the mineral admixture used to replace cement. Nano-silica particles (NSPs) and CS are used as coarse aggregates, and RS is the fine aggregate used to replace river sand. The workability, mechanical properties, and durability properties of green concrete are investigated and compared with those of conventional concrete (CC). Test results show that the cement replaced with 30% GGBS and 3% NSPs exhibits superior strength. The compressive and splitting tensile strengths are increased by 24.03% and 42.32% after 28 days of curing, respectively. The workability is improved by 12.22% (slump) and 13.25% (compaction factor) after 28 days of curing. The sorptivity of HM3 (3.26%) is lower than that of CC due to the uniform distribution between particles. Microstructure evolution is carried out to identify concrete mix behavior.","PeriodicalId":33402,"journal":{"name":"Proceedings of Engineering and Technology Innovation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47801735","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}
There are various methods that can be employed to increase the lifespan and power output of photovoltaic (PV) systems. This study aims to increase the power output of a grid-connected PV system by using a water-cooling unit and solar reflectors. The PV modules of the current PV system are divided into two clusters. The first cluster, which is considered an improved cluster, has a solar reflector-cooling unit added to it, while the second cluster is used as a reference. The results show that the maximum efficiency and performance ratio values of the improved and reference PV modules at 10:30 AM are 14.7% & 13.7% and 97.5% & 91.2%, respectively. The maximum electrical power values of the improved and reference PV modules at 12:00 PM are 2.55 W and 1.69 W, respectively. The maximum gain value for electrical power is 43%.
{"title":"Increasing the Power Output of a PV Solar System by Using a Cooling-Reflector Assembly","authors":"N. K. Kasim, Hazim Hussain, Alaa N Abed","doi":"10.46604/peti.2022.9976","DOIUrl":"https://doi.org/10.46604/peti.2022.9976","url":null,"abstract":"There are various methods that can be employed to increase the lifespan and power output of photovoltaic (PV) systems. This study aims to increase the power output of a grid-connected PV system by using a water-cooling unit and solar reflectors. The PV modules of the current PV system are divided into two clusters. The first cluster, which is considered an improved cluster, has a solar reflector-cooling unit added to it, while the second cluster is used as a reference. The results show that the maximum efficiency and performance ratio values of the improved and reference PV modules at 10:30 AM are 14.7% & 13.7% and 97.5% & 91.2%, respectively. The maximum electrical power values of the improved and reference PV modules at 12:00 PM are 2.55 W and 1.69 W, respectively. The maximum gain value for electrical power is 43%.","PeriodicalId":33402,"journal":{"name":"Proceedings of Engineering and Technology Innovation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43212546","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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