Pub Date : 2021-01-01DOI: 10.4108/eai.7-12-2021.2314562
V. K, A. L
Abstract. Power quality difficulties have been predicted since electronically powered drives have been the main component of any manufacturing process. Evaluating the same's informative quality has proven to be a big challenge. Because of non-linearity on the load side and an over-reliance on semiconductor technology, a good power quality could be crucial. The capabilities of the drives section employed in the business are also attracting attention in the current circumstances. As a result of the concerns mentioned above, several literary scientific studies show disturbances in the load side and the efficiency of electric drives. Weakness resulting from power quality is simply too significant, making it difficult for even the most sophisticated engineering to function effectively. A deep insight examination of grid side characteristics was performed in conjunction with investigating the inverter drive section responsiveness to grid variation to confirm the grid side issues for the artificial intelligence technique. This study work emphasized and proposed an answer to the possible artificial wise approach for administering fault deterrence prediction algorithm after clear proof from analysis and accounting grid side quality concerns relevant to electronic powered drives. The result is an accurate forecast of abnormal grid side behavior to offer safe and trustworthy grid operation, reducing the likelihood of shutdown or failure to a greater extent. Improvements in forecast accuracy based on previous data have been viable feedback to business equipment manufacturers, in addition to the aforementioned technique.
{"title":"Performance Assessment of Industrial Drives due to Power Quality Issues and its Potential Impacts on Electrical Drives","authors":"V. K, A. L","doi":"10.4108/eai.7-12-2021.2314562","DOIUrl":"https://doi.org/10.4108/eai.7-12-2021.2314562","url":null,"abstract":"Abstract. Power quality difficulties have been predicted since electronically powered drives have been the main component of any manufacturing process. Evaluating the same's informative quality has proven to be a big challenge. Because of non-linearity on the load side and an over-reliance on semiconductor technology, a good power quality could be crucial. The capabilities of the drives section employed in the business are also attracting attention in the current circumstances. As a result of the concerns mentioned above, several literary scientific studies show disturbances in the load side and the efficiency of electric drives. Weakness resulting from power quality is simply too significant, making it difficult for even the most sophisticated engineering to function effectively. A deep insight examination of grid side characteristics was performed in conjunction with investigating the inverter drive section responsiveness to grid variation to confirm the grid side issues for the artificial intelligence technique. This study work emphasized and proposed an answer to the possible artificial wise approach for administering fault deterrence prediction algorithm after clear proof from analysis and accounting grid side quality concerns relevant to electronic powered drives. The result is an accurate forecast of abnormal grid side behavior to offer safe and trustworthy grid operation, reducing the likelihood of shutdown or failure to a greater extent. Improvements in forecast accuracy based on previous data have been viable feedback to business equipment manufacturers, in addition to the aforementioned technique.","PeriodicalId":20712,"journal":{"name":"Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81317270","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 : 2021-01-01DOI: 10.4108/eai.7-12-2021.2315118
Srilatha Toomula
{"title":"Effectiveness of Machine Learning in Predicting Maize Sowing and Harvesting Time","authors":"Srilatha Toomula","doi":"10.4108/eai.7-12-2021.2315118","DOIUrl":"https://doi.org/10.4108/eai.7-12-2021.2315118","url":null,"abstract":"","PeriodicalId":20712,"journal":{"name":"Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82361474","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 : 2021-01-01DOI: 10.4108/eai.7-12-2021.2314484
Pradeep Kumar J, S. M., N. D., Sandeep Kumar K.B, S. P.
In the modern scenario of solid-state welding, Ultrasonic metal welding (USMW) has emerged as one of the successful and efficient method of joining metal specimens with dissimilar profiles (cylindrical – flat). As the methods and procedures involved in repairing flaws are not cost effective, many industries require a systematic approach to forecast weld strength before manufacturing the weld joints. This study is carried out to develop a mathematical model for predicting the weld strength using response surface method. Experiments are conducted based on response surface design matrix comprising of five factors such as the weld time, amplitude, weld pressure, sheet thickness and wire diameter and the weld strength of each experimental trials evaluated in terms of T-peel load are measured. Also, a feed forward back propagation artificial neural network with supervised training has been developed to predict the T-peel load and it tends to be consistent throughout the entire range values.
{"title":"Investigation on Joining Divergent Geometric Profiles using 20KHz Ultrasonic Sound Waves","authors":"Pradeep Kumar J, S. M., N. D., Sandeep Kumar K.B, S. P.","doi":"10.4108/eai.7-12-2021.2314484","DOIUrl":"https://doi.org/10.4108/eai.7-12-2021.2314484","url":null,"abstract":"In the modern scenario of solid-state welding, Ultrasonic metal welding (USMW) has emerged as one of the successful and efficient method of joining metal specimens with dissimilar profiles (cylindrical – flat). As the methods and procedures involved in repairing flaws are not cost effective, many industries require a systematic approach to forecast weld strength before manufacturing the weld joints. This study is carried out to develop a mathematical model for predicting the weld strength using response surface method. Experiments are conducted based on response surface design matrix comprising of five factors such as the weld time, amplitude, weld pressure, sheet thickness and wire diameter and the weld strength of each experimental trials evaluated in terms of T-peel load are measured. Also, a feed forward back propagation artificial neural network with supervised training has been developed to predict the T-peel load and it tends to be consistent throughout the entire range values.","PeriodicalId":20712,"journal":{"name":"Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76353093","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 : 2021-01-01DOI: 10.4108/eai.7-12-2021.2315112
S. P, P. M
: In this project a study of Roller Compacted Concrete (RCC) has been done restricting the scope to laboratory tests. Since concrete also consists of solids, water and air like soil, the maximum dry density and the optimum moisture content are determined for the RCC in the laboratory. Based on this, casting of specimens is done by compacting with 4.89 kg rammer producing heavy compactive energy at optimum moisture content. Test results indicate that this concrete can be used for paving applications, because the flexural strength has been found to be more than 4.5 MPa. Hence, a comparison of RCC pavement with conventional pavement is needed to explore the advantages and to strongly recommend the same for pavements. Conventional concrete shows more flexural strength than RCC, but the difference in required thickness of pavement designed as per IRC 58:2011 is very small. Taking into consideration the men, materials and equipment usage, RCC pavement is found to be cheaper. If future study on the chemical behaviour of RCC is carried out, more solutions can be found for mass concreting problem.
{"title":"Experimental Study on Roller Compacted Concrete Pavement","authors":"S. P, P. M","doi":"10.4108/eai.7-12-2021.2315112","DOIUrl":"https://doi.org/10.4108/eai.7-12-2021.2315112","url":null,"abstract":": In this project a study of Roller Compacted Concrete (RCC) has been done restricting the scope to laboratory tests. Since concrete also consists of solids, water and air like soil, the maximum dry density and the optimum moisture content are determined for the RCC in the laboratory. Based on this, casting of specimens is done by compacting with 4.89 kg rammer producing heavy compactive energy at optimum moisture content. Test results indicate that this concrete can be used for paving applications, because the flexural strength has been found to be more than 4.5 MPa. Hence, a comparison of RCC pavement with conventional pavement is needed to explore the advantages and to strongly recommend the same for pavements. Conventional concrete shows more flexural strength than RCC, but the difference in required thickness of pavement designed as per IRC 58:2011 is very small. Taking into consideration the men, materials and equipment usage, RCC pavement is found to be cheaper. If future study on the chemical behaviour of RCC is carried out, more solutions can be found for mass concreting problem.","PeriodicalId":20712,"journal":{"name":"Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76566963","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 : 2021-01-01DOI: 10.4108/eai.7-12-2021.2314742
S. P., J. J
. Silk is the important versatile textile material being used for various delicate and formal enriched utilities. Traditionally for long period silk has been selected and colored with natural sources which would add values to the materials with respect to their original properties. Most of the natural sources have their inherent property add additional values to the silk materials. In this work the mulberry silk fabric is treated with recovered protein from sericin together with natural finishing sources like aloevera, amla and nochi in different combinations followed by coloring with few selected natural sources. The silk fabrics after these applications weresubjected for testing K/S value, fastness properties, absorbency, objective assessmentand SEM study. The results from these tests are impressive and positive suitable for the respective applications in the textile and garment utilities.
{"title":"Mulberry silk fabric treatment with natural colorants","authors":"S. P., J. J","doi":"10.4108/eai.7-12-2021.2314742","DOIUrl":"https://doi.org/10.4108/eai.7-12-2021.2314742","url":null,"abstract":". Silk is the important versatile textile material being used for various delicate and formal enriched utilities. Traditionally for long period silk has been selected and colored with natural sources which would add values to the materials with respect to their original properties. Most of the natural sources have their inherent property add additional values to the silk materials. In this work the mulberry silk fabric is treated with recovered protein from sericin together with natural finishing sources like aloevera, amla and nochi in different combinations followed by coloring with few selected natural sources. The silk fabrics after these applications weresubjected for testing K/S value, fastness properties, absorbency, objective assessmentand SEM study. The results from these tests are impressive and positive suitable for the respective applications in the textile and garment utilities.","PeriodicalId":20712,"journal":{"name":"Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82876612","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 : 2021-01-01DOI: 10.4108/eai.7-12-2021.2314513
N. Subburaj, Rani P
. The Alzheimer's disease (AD) is a persistent neurodegenerative disorder characterized by loss of memory and different cognitive capabilities which represents 60 to 80% of dementia. Present day Alzheimer's remedies just treat and postpone the deterioration of dementia manifestations. A biomarker could provide a detailed measurements of brain abnormality, which can aid in the early detection of disease in people who have very mild symptoms and also the treatments targets could be developed for the disease in its early stages, before irreversible brain damage or mental decline occurs. Individuals with Alzheimer's disease and different types of dementia progress at various rates, and biomarkers may aid in predicting and monitoring their progression. Thereby researchers are looking for precise preclinical biomarkers for prognosis of cognitive impairment. The current methods that are used in AD diagnosis are expensive, invasive or time consuming. Hence there is a potential requirement for less invasive and economically feasible blood-based biomarkers to assist in large-scale screening of the geriatric population. The objective of this analysis was to evaluate the reported blood-based protein biomarkers of Alzheimer's disease (AD). A methodical PubMed survey was performed on 1195 articles distributed among 2007 and March 2018 using the key phrases "Alzheimer's infection" and "plasma biomarker" and 58 articles were chosen that met with the filtering criteria. The blood-based proteins of AD from the selected papers were scored using a meta-scoring system.In this study, 90 blood based proteins were identified, of which 15 were reported multiple times. The six highest meta scored proteins are APOE, BNP, CRP, CD40, TNF α and Clusterin. Further examinations and broad trial validations are important to affirm the clinical use of these potential biomarkers for AD diagnosis.
{"title":"A meta-analysis method for identifying potential blood based protein markers associated with Alzheimer’s disease","authors":"N. Subburaj, Rani P","doi":"10.4108/eai.7-12-2021.2314513","DOIUrl":"https://doi.org/10.4108/eai.7-12-2021.2314513","url":null,"abstract":". The Alzheimer's disease (AD) is a persistent neurodegenerative disorder characterized by loss of memory and different cognitive capabilities which represents 60 to 80% of dementia. Present day Alzheimer's remedies just treat and postpone the deterioration of dementia manifestations. A biomarker could provide a detailed measurements of brain abnormality, which can aid in the early detection of disease in people who have very mild symptoms and also the treatments targets could be developed for the disease in its early stages, before irreversible brain damage or mental decline occurs. Individuals with Alzheimer's disease and different types of dementia progress at various rates, and biomarkers may aid in predicting and monitoring their progression. Thereby researchers are looking for precise preclinical biomarkers for prognosis of cognitive impairment. The current methods that are used in AD diagnosis are expensive, invasive or time consuming. Hence there is a potential requirement for less invasive and economically feasible blood-based biomarkers to assist in large-scale screening of the geriatric population. The objective of this analysis was to evaluate the reported blood-based protein biomarkers of Alzheimer's disease (AD). A methodical PubMed survey was performed on 1195 articles distributed among 2007 and March 2018 using the key phrases \"Alzheimer's infection\" and \"plasma biomarker\" and 58 articles were chosen that met with the filtering criteria. The blood-based proteins of AD from the selected papers were scored using a meta-scoring system.In this study, 90 blood based proteins were identified, of which 15 were reported multiple times. The six highest meta scored proteins are APOE, BNP, CRP, CD40, TNF α and Clusterin. Further examinations and broad trial validations are important to affirm the clinical use of these potential biomarkers for AD diagnosis.","PeriodicalId":20712,"journal":{"name":"Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90193943","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 : 2021-01-01DOI: 10.4108/eai.7-12-2021.2314599
A. A., S. G
. Doodles celebrate interesting events and anniversaries around the world by capturing one’s attention. Doodles reflect Google’s personality and love of innovation. Although doodles are simple scribbled piece of text, they mean more than that. Art and Animations have added real value to them. For instance, google portrays its logo in a creative fashion, with a new one every other day, by making use of these doodles. They are not only meant for creating an impact, but they also provide at the backdrop, a valuable piece of information to the customer who visits them. This information may comprise the current affairs, festive occasions or day-to-day important happenings around the world. Each doodle developed by Google goes through a series of procedures that involve deep thinking and designing activities. The timespan for producing each doodle is estimated to be a month. This paper suggests a procedure for automating the production of doodles using a novel approach. This approach uses scrapped web data relating to the particular dates and specialties about them (from sources like Wikipedia and Hindu API which have huge potential for information). Images pertaining to the gathered event related data are to be used as textures, which acts as a basic technique to overlay on the textual information or logo. Random selection of styles, designs and animations could add to the performance, by producing several variants of doodles. The linked information behind these doodles could add to the knowledge of the customers thereby increasing the productivity, clicks and visits to the site. This process aids to transform doodles from a generic version to a personalized version. A sync to the customer’s calendar dates allows for personalized promotions. For example, Amazon may optionally deliver gifts from one customer to another by texturing their logos with the sender’s photos. This may be overwhelming to both receiver and sender. Automation, therefore eases the procedures involved behind the pleasant doodles.
{"title":"Automated Production of Personalised Doodles","authors":"A. A., S. G","doi":"10.4108/eai.7-12-2021.2314599","DOIUrl":"https://doi.org/10.4108/eai.7-12-2021.2314599","url":null,"abstract":". Doodles celebrate interesting events and anniversaries around the world by capturing one’s attention. Doodles reflect Google’s personality and love of innovation. Although doodles are simple scribbled piece of text, they mean more than that. Art and Animations have added real value to them. For instance, google portrays its logo in a creative fashion, with a new one every other day, by making use of these doodles. They are not only meant for creating an impact, but they also provide at the backdrop, a valuable piece of information to the customer who visits them. This information may comprise the current affairs, festive occasions or day-to-day important happenings around the world. Each doodle developed by Google goes through a series of procedures that involve deep thinking and designing activities. The timespan for producing each doodle is estimated to be a month. This paper suggests a procedure for automating the production of doodles using a novel approach. This approach uses scrapped web data relating to the particular dates and specialties about them (from sources like Wikipedia and Hindu API which have huge potential for information). Images pertaining to the gathered event related data are to be used as textures, which acts as a basic technique to overlay on the textual information or logo. Random selection of styles, designs and animations could add to the performance, by producing several variants of doodles. The linked information behind these doodles could add to the knowledge of the customers thereby increasing the productivity, clicks and visits to the site. This process aids to transform doodles from a generic version to a personalized version. A sync to the customer’s calendar dates allows for personalized promotions. For example, Amazon may optionally deliver gifts from one customer to another by texturing their logos with the sender’s photos. This may be overwhelming to both receiver and sender. Automation, therefore eases the procedures involved behind the pleasant doodles.","PeriodicalId":20712,"journal":{"name":"Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83853215","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 : 2021-01-01DOI: 10.4108/eai.7-12-2021.2315107
Zina Garcia R, K. C.
{"title":"Survey on Machine Learning Approaches for Intrusion Detection System","authors":"Zina Garcia R, K. C.","doi":"10.4108/eai.7-12-2021.2315107","DOIUrl":"https://doi.org/10.4108/eai.7-12-2021.2315107","url":null,"abstract":"","PeriodicalId":20712,"journal":{"name":"Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89277048","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 : 2021-01-01DOI: 10.4108/eai.7-12-2021.2314723
A. M., Anusuya K.V, Nivethitha M
{"title":"A Deep Learning-Based Substructure for Trash Detection and Face Recognition","authors":"A. M., Anusuya K.V, Nivethitha M","doi":"10.4108/eai.7-12-2021.2314723","DOIUrl":"https://doi.org/10.4108/eai.7-12-2021.2314723","url":null,"abstract":"","PeriodicalId":20712,"journal":{"name":"Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89316132","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 : 2021-01-01DOI: 10.4108/eai.7-12-2021.2314573
S. K. G, K. G
Artifact play a major role in software development. An artifact in software development is an actual by-product in which the works are documented and stored in a repository so it can be retrieved upon demand. Artifacts in software engineering involves specific development methods or processes. To make the software development outright, the collection of information is organized as artifact set. Build involves in converting source code into software artifact. The presence of build helps to provide tangible and observable results. Document clustering involves in organizing and managing texts in structured format. Document clustering provides feasible results increasing the accuracy and saves time when compared to manual text classification.
{"title":"Clustering Reporeapers Using Data Mining Techniques","authors":"S. K. G, K. G","doi":"10.4108/eai.7-12-2021.2314573","DOIUrl":"https://doi.org/10.4108/eai.7-12-2021.2314573","url":null,"abstract":"Artifact play a major role in software development. An artifact in software development is an actual by-product in which the works are documented and stored in a repository so it can be retrieved upon demand. Artifacts in software engineering involves specific development methods or processes. To make the software development outright, the collection of information is organized as artifact set. Build involves in converting source code into software artifact. The presence of build helps to provide tangible and observable results. Document clustering involves in organizing and managing texts in structured format. Document clustering provides feasible results increasing the accuracy and saves time when compared to manual text classification.","PeriodicalId":20712,"journal":{"name":"Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87321474","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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