Pub Date : 2021-07-06DOI: 10.1109/EUROCON52738.2021.9535621
Volodymyr Valko, S. Stirenko, Ihor Babarykin, Yuri G. Gordienko
In this article we provide a general framework using Ethereum smart contracts to track back the provenance and evolution of deep learning content (DLC) to its original source even if the DLC was edited (e.g. DL models were retrained or/and datasets were updated) by anonymous authors. The main principle behind the solution is that if the DLC can be credibly traced to a trusted or reputable source, the DLC can then be real and authentic. The solution is proposed in the healthcare context and for medical DLC, especially for federated machine learning, but it can be applied to any other form of DLC.
{"title":"Provenance Detection System for Deep Learning Content in Healthcare","authors":"Volodymyr Valko, S. Stirenko, Ihor Babarykin, Yuri G. Gordienko","doi":"10.1109/EUROCON52738.2021.9535621","DOIUrl":"https://doi.org/10.1109/EUROCON52738.2021.9535621","url":null,"abstract":"In this article we provide a general framework using Ethereum smart contracts to track back the provenance and evolution of deep learning content (DLC) to its original source even if the DLC was edited (e.g. DL models were retrained or/and datasets were updated) by anonymous authors. The main principle behind the solution is that if the DLC can be credibly traced to a trusted or reputable source, the DLC can then be real and authentic. The solution is proposed in the healthcare context and for medical DLC, especially for federated machine learning, but it can be applied to any other form of DLC.","PeriodicalId":328338,"journal":{"name":"IEEE EUROCON 2021 - 19th International Conference on Smart Technologies","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132936652","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 : 2021-07-06DOI: 10.1109/EUROCON52738.2021.9535616
Eyüp Eröz, E. Tanyildizi, F. Özkaynak
It is a difficult problem in the field of computer science to be able to answer the question of what configuration parameters will be used to generate long bit strings with linear feedback shift register structures, which is a component widely used in many practical applications that require random behavior. Since this difficult challenge is a problem with NP computational complexity, the difficulty of developing solutions in classical ways has been tried to be solved by using optimization algorithms. In this study, all possible configurations that can be used for all linear feedback shift register structures up to eight degrees have been determined using the binary bat optimization algorithm. Statistical properties of random sequences generated using these configurations have been tested using the chi-square test. All the resulting configurations are shared as a public dataset. It is thought that these successful results can be used effectively in various practical applications by many researchers in the future.
{"title":"Determination of Suitable Configuration Parameters for Linear Feedback Shift Register using Binary Bat Optimization Algorithm","authors":"Eyüp Eröz, E. Tanyildizi, F. Özkaynak","doi":"10.1109/EUROCON52738.2021.9535616","DOIUrl":"https://doi.org/10.1109/EUROCON52738.2021.9535616","url":null,"abstract":"It is a difficult problem in the field of computer science to be able to answer the question of what configuration parameters will be used to generate long bit strings with linear feedback shift register structures, which is a component widely used in many practical applications that require random behavior. Since this difficult challenge is a problem with NP computational complexity, the difficulty of developing solutions in classical ways has been tried to be solved by using optimization algorithms. In this study, all possible configurations that can be used for all linear feedback shift register structures up to eight degrees have been determined using the binary bat optimization algorithm. Statistical properties of random sequences generated using these configurations have been tested using the chi-square test. All the resulting configurations are shared as a public dataset. It is thought that these successful results can be used effectively in various practical applications by many researchers in the future.","PeriodicalId":328338,"journal":{"name":"IEEE EUROCON 2021 - 19th International Conference on Smart Technologies","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114637617","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 : 2021-07-06DOI: 10.1109/EUROCON52738.2021.9535604
A. Panwar, Rishika Yadav, Kishor Mishra, Siddharth Gupta
The newly detected virus also called coronavirus spreads the disease Covid19. World Health Organization (WHO) confirmed this virus as a worldwide pandemic as it has infected millions of people and has taken away many lives across the globe. An infection caused by Covid19 disease majorly destroys the respiratory tract of human beings that ends with multiple organ failures or death in the worst case. In the present work, chest radiographs were provided as input to various deep learning CNN architectures for the purpose of feature extraction. After extracting the features, the images were provided as the input to various machine learning classifiers that classify the chest radiographs as Covid-19 positive, pneumonia infection, or healthy scans.
{"title":"Deep Learning Techniques for the Real Time Detection of Covid19 and Pneumonia using Chest Radiographs","authors":"A. Panwar, Rishika Yadav, Kishor Mishra, Siddharth Gupta","doi":"10.1109/EUROCON52738.2021.9535604","DOIUrl":"https://doi.org/10.1109/EUROCON52738.2021.9535604","url":null,"abstract":"The newly detected virus also called coronavirus spreads the disease Covid19. World Health Organization (WHO) confirmed this virus as a worldwide pandemic as it has infected millions of people and has taken away many lives across the globe. An infection caused by Covid19 disease majorly destroys the respiratory tract of human beings that ends with multiple organ failures or death in the worst case. In the present work, chest radiographs were provided as input to various deep learning CNN architectures for the purpose of feature extraction. After extracting the features, the images were provided as the input to various machine learning classifiers that classify the chest radiographs as Covid-19 positive, pneumonia infection, or healthy scans.","PeriodicalId":328338,"journal":{"name":"IEEE EUROCON 2021 - 19th International Conference on Smart Technologies","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125293607","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 : 2021-07-06DOI: 10.1109/EUROCON52738.2021.9535543
N. Himabindu, Santoshkumar Hampannavar, M. Swapna, K. Patil
In this paper, wind speed assessment of a wind site located in BELAGAVI under warm humid climatic zone is proposed. Weibull and Rayleigh models were used for the statistical analysis and typical meteorological year (TMY) data was considered. Rayleigh model was found to be suitable compared to Weibull model for BELAGAVI site. The techno-economic analysis of a community microgrid in the same location was carried out considering hybrid renewable energy system for grid connected and off grid system. Promising results were obtained in terms of model and cost.
{"title":"Wind Speed Assessment and Techno-Economic Analysis of a Community Microgrid in Warm and Humid Climate Zone of India","authors":"N. Himabindu, Santoshkumar Hampannavar, M. Swapna, K. Patil","doi":"10.1109/EUROCON52738.2021.9535543","DOIUrl":"https://doi.org/10.1109/EUROCON52738.2021.9535543","url":null,"abstract":"In this paper, wind speed assessment of a wind site located in BELAGAVI under warm humid climatic zone is proposed. Weibull and Rayleigh models were used for the statistical analysis and typical meteorological year (TMY) data was considered. Rayleigh model was found to be suitable compared to Weibull model for BELAGAVI site. The techno-economic analysis of a community microgrid in the same location was carried out considering hybrid renewable energy system for grid connected and off grid system. Promising results were obtained in terms of model and cost.","PeriodicalId":328338,"journal":{"name":"IEEE EUROCON 2021 - 19th International Conference on Smart Technologies","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121796111","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 : 2021-07-06DOI: 10.1109/EUROCON52738.2021.9535597
A. Dymerets, Roman D. Yershov, A. Gorodny, Anatoliy S. Revko, Yurii O. Denisov
The investigation of resonant circuit parameters influence on control characteristics in buck half-wave quasi-resonant converter is presented. The dependences of the voltage conversion ratio, control pulses duration, and operating frequency of the converter under variation of resonant circuit parameters and control pulses duty cycle are obtained by dint of numeric simulation. The dependences of these characteristics under variation of load impedance and control duty cycle are also obtained. The research results allow simplifying the development flow and construction of robust table-based or adaptive control systems for quasi-resonant converters.
{"title":"Control Characteristics of Zero-Current-Switching Quasi-Resonant Buck Converter under Variation of Resonant Circuit and Load Parameters","authors":"A. Dymerets, Roman D. Yershov, A. Gorodny, Anatoliy S. Revko, Yurii O. Denisov","doi":"10.1109/EUROCON52738.2021.9535597","DOIUrl":"https://doi.org/10.1109/EUROCON52738.2021.9535597","url":null,"abstract":"The investigation of resonant circuit parameters influence on control characteristics in buck half-wave quasi-resonant converter is presented. The dependences of the voltage conversion ratio, control pulses duration, and operating frequency of the converter under variation of resonant circuit parameters and control pulses duty cycle are obtained by dint of numeric simulation. The dependences of these characteristics under variation of load impedance and control duty cycle are also obtained. The research results allow simplifying the development flow and construction of robust table-based or adaptive control systems for quasi-resonant converters.","PeriodicalId":328338,"journal":{"name":"IEEE EUROCON 2021 - 19th International Conference on Smart Technologies","volume":"372 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114585717","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 : 2021-07-06DOI: 10.1109/EUROCON52738.2021.9535594
B. Bairwa, Santoshkumar Hampannavar, Kaushik S Vishal, K. Bhargavi
This work shows the modeling and simulation-based health analysis for the lithium-ion battery. In the lithiumion batteries health is the burning issue. In this work health is predicted for the lithium-ion single cell. The lithium-ion generic model is trained by the various number of charging and discharging cycles 100 cycle to 1000 cycles for the analysis. Lithium-ion battery voltage is predicted with aging at constant discharging rate 1C. The capacity of the battery compared with the SoC of the with time and voltage. Nominal 3.8 volt and 2Ah rated Lithium Ion NMC cell have been investigated for this work .This study exhibits the lithium ion battery health condition with higher use of the battery in the everyday day life. The simulation results show the overall capacity fading behaviour in the proposed work.
{"title":"Modeling and Simulation for Capacity Fade Prediction of Lithium-Ion Battery","authors":"B. Bairwa, Santoshkumar Hampannavar, Kaushik S Vishal, K. Bhargavi","doi":"10.1109/EUROCON52738.2021.9535594","DOIUrl":"https://doi.org/10.1109/EUROCON52738.2021.9535594","url":null,"abstract":"This work shows the modeling and simulation-based health analysis for the lithium-ion battery. In the lithiumion batteries health is the burning issue. In this work health is predicted for the lithium-ion single cell. The lithium-ion generic model is trained by the various number of charging and discharging cycles 100 cycle to 1000 cycles for the analysis. Lithium-ion battery voltage is predicted with aging at constant discharging rate 1C. The capacity of the battery compared with the SoC of the with time and voltage. Nominal 3.8 volt and 2Ah rated Lithium Ion NMC cell have been investigated for this work .This study exhibits the lithium ion battery health condition with higher use of the battery in the everyday day life. The simulation results show the overall capacity fading behaviour in the proposed work.","PeriodicalId":328338,"journal":{"name":"IEEE EUROCON 2021 - 19th International Conference on Smart Technologies","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130733778","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 : 2021-07-06DOI: 10.1109/EUROCON52738.2021.9535569
Habib Ibrahim, F. Özkaynak
The cryptology science has gradually gained importance with our digitalized lives. Ensuring the security of data transmitted, processed and stored across digital channels is a major challenge. One of the frequently used components in cryptographic algorithms to ensure security is substitution-box structures. Random selection-based substitution-box structures have become increasingly important lately, especially because of their advantages to prevent side channel attacks. However, the low nonlinearity value of these designs is a problem. In this study, a dataset consisting of twenty different substitution-box structures have been publicly presented to the researchers. The fact that the proposed dataset has high nonlinearity values will allow it to be used in many practical applications in the future studies. The proposed dataset provides a contribution to the literature as it can be used both as an input dataset for the new post-processing algorithm and as a countermeasure to prevent the success of side-channel analyzes.
{"title":"A Random Selection Based Substitution-box Structure Dataset for Cryptology Applications","authors":"Habib Ibrahim, F. Özkaynak","doi":"10.1109/EUROCON52738.2021.9535569","DOIUrl":"https://doi.org/10.1109/EUROCON52738.2021.9535569","url":null,"abstract":"The cryptology science has gradually gained importance with our digitalized lives. Ensuring the security of data transmitted, processed and stored across digital channels is a major challenge. One of the frequently used components in cryptographic algorithms to ensure security is substitution-box structures. Random selection-based substitution-box structures have become increasingly important lately, especially because of their advantages to prevent side channel attacks. However, the low nonlinearity value of these designs is a problem. In this study, a dataset consisting of twenty different substitution-box structures have been publicly presented to the researchers. The fact that the proposed dataset has high nonlinearity values will allow it to be used in many practical applications in the future studies. The proposed dataset provides a contribution to the literature as it can be used both as an input dataset for the new post-processing algorithm and as a countermeasure to prevent the success of side-channel analyzes.","PeriodicalId":328338,"journal":{"name":"IEEE EUROCON 2021 - 19th International Conference on Smart Technologies","volume":"24 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131187133","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 : 2021-07-06DOI: 10.1109/EUROCON52738.2021.9535535
Shreyas Agrawal, Sumanto Dutta, Bidyut Kr. Patra
Sentiment analysis is one of the significant tasks in processing natural language by a machine. However, it is difficult for a machine to understand the feelings of a person and opinion about a topic. Many approaches have been introduced for analyzing sentiment from long text in recent past. In contrast, these approaches fail to address the small length text problem like Twitter data efficiently. Recent advances in the pre-trained contextualized embeddings like Bidirectional Encoder Representations from Transformers (BERT) show far greater accuracy than traditional embeddings. In this paper, we develop a novel architecture to tune the BERT using a Bidirectional Long Short-Term Memory (Bi-LSTM) model. A task-specific layer is incorporated along with the BERT in the proposed model. Our model extracts sentiment from short texts, especially Twitter data. The extensive experiments show the superiority of our model over state-of-the-art models in sentiment analysis task across several gold standard datasets.
{"title":"Sentiment Analysis of Short Informal Text by Tuning BERT - Bi-LSTM Model","authors":"Shreyas Agrawal, Sumanto Dutta, Bidyut Kr. Patra","doi":"10.1109/EUROCON52738.2021.9535535","DOIUrl":"https://doi.org/10.1109/EUROCON52738.2021.9535535","url":null,"abstract":"Sentiment analysis is one of the significant tasks in processing natural language by a machine. However, it is difficult for a machine to understand the feelings of a person and opinion about a topic. Many approaches have been introduced for analyzing sentiment from long text in recent past. In contrast, these approaches fail to address the small length text problem like Twitter data efficiently. Recent advances in the pre-trained contextualized embeddings like Bidirectional Encoder Representations from Transformers (BERT) show far greater accuracy than traditional embeddings. In this paper, we develop a novel architecture to tune the BERT using a Bidirectional Long Short-Term Memory (Bi-LSTM) model. A task-specific layer is incorporated along with the BERT in the proposed model. Our model extracts sentiment from short texts, especially Twitter data. The extensive experiments show the superiority of our model over state-of-the-art models in sentiment analysis task across several gold standard datasets.","PeriodicalId":328338,"journal":{"name":"IEEE EUROCON 2021 - 19th International Conference on Smart Technologies","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125903995","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 : 2021-07-06DOI: 10.1109/EUROCON52738.2021.9535547
L. Herenčić, Perica Ilak, I. Rajšl, Marko Kelava
Local energy trading is a concept that allows trading between distribution grid participants such as consumers, producers, and prosumers on a local level in a transparent and competitive way. This can provide better local demand-supply balancing, decrease voltage deviations, and improve social welfare. However, economic feasibility of implementation of such a concept greatly depends on regulatory framework, as certain regulatory provisions can either lead to barriers and costs that can undermine the potential benefits of local energy trading, or support implementation of such projects. In this paper, feasibility of local energy trading under different variations of regulatory framework are assessed and implications on market participants and energy balance in distribution grids analyzed. It is shown that regulatory provisions have high influence on potential benefits and implementation of local energy trading in wider scope.
{"title":"Local Energy Trading Under Emerging Regulatory Frameworks: Impacts on Market Participants and Power Balance in Distribution Grids","authors":"L. Herenčić, Perica Ilak, I. Rajšl, Marko Kelava","doi":"10.1109/EUROCON52738.2021.9535547","DOIUrl":"https://doi.org/10.1109/EUROCON52738.2021.9535547","url":null,"abstract":"Local energy trading is a concept that allows trading between distribution grid participants such as consumers, producers, and prosumers on a local level in a transparent and competitive way. This can provide better local demand-supply balancing, decrease voltage deviations, and improve social welfare. However, economic feasibility of implementation of such a concept greatly depends on regulatory framework, as certain regulatory provisions can either lead to barriers and costs that can undermine the potential benefits of local energy trading, or support implementation of such projects. In this paper, feasibility of local energy trading under different variations of regulatory framework are assessed and implications on market participants and energy balance in distribution grids analyzed. It is shown that regulatory provisions have high influence on potential benefits and implementation of local energy trading in wider scope.","PeriodicalId":328338,"journal":{"name":"IEEE EUROCON 2021 - 19th International Conference on Smart Technologies","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127747043","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 : 2021-07-06DOI: 10.1109/EUROCON52738.2021.9535581
Yakiv Scherbak, O. Plakhtii, V. Nerubatskyi, D. Hordiienko, D. Shelest, Y. Semenenko
Based on Maxwell’s equations, the dependences of the total and active resistance of the electrical network on the frequency of the flowing current are determined, which allows to determine the additional power losses due to higher harmonics of higher harmonics. The analysis of convergence of the received equations with expressions of the international standard IEC 60287-1-1 is resulted. It is shown that for the high frequency zone the expressions of the IEC 60287-1-1 standard describing the dependence of the active resistance on the frequency give a significant error. A simplified approximation dependence is proposed for the high-frequency zone, which makes it possible to determine the dependence of the active resistance on the frequency without the use of Bessel equations. The obtained equations can be used to determine additional power losses in the active supports of electrical networks, windings of electric machines, high-frequency transformers from higher harmonics of currents at different nonlinear loads. In addition, the obtained expressions can be used to justify the use of filter-compensating devices.
{"title":"Analysis of Exact and Approximating Dependences of the Active Resistance of Conductor on the Frequency of Current Under the Action of Skin Effect","authors":"Yakiv Scherbak, O. Plakhtii, V. Nerubatskyi, D. Hordiienko, D. Shelest, Y. Semenenko","doi":"10.1109/EUROCON52738.2021.9535581","DOIUrl":"https://doi.org/10.1109/EUROCON52738.2021.9535581","url":null,"abstract":"Based on Maxwell’s equations, the dependences of the total and active resistance of the electrical network on the frequency of the flowing current are determined, which allows to determine the additional power losses due to higher harmonics of higher harmonics. The analysis of convergence of the received equations with expressions of the international standard IEC 60287-1-1 is resulted. It is shown that for the high frequency zone the expressions of the IEC 60287-1-1 standard describing the dependence of the active resistance on the frequency give a significant error. A simplified approximation dependence is proposed for the high-frequency zone, which makes it possible to determine the dependence of the active resistance on the frequency without the use of Bessel equations. The obtained equations can be used to determine additional power losses in the active supports of electrical networks, windings of electric machines, high-frequency transformers from higher harmonics of currents at different nonlinear loads. In addition, the obtained expressions can be used to justify the use of filter-compensating devices.","PeriodicalId":328338,"journal":{"name":"IEEE EUROCON 2021 - 19th International Conference on Smart Technologies","volume":"28 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114022734","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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