2021 IEEE International Systems Conference (SysCon)最新文献

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CO2 Emissions Forecasting in Multi-Source Power Generation Systems Using Dynamic Bayesian Network 基于动态贝叶斯网络的多源发电系统CO2排放预测
2021 IEEE International Systems Conference (SysCon) Pub Date : 2021-04-15 DOI: 10.1109/SysCon48628.2021.9447104
Talysson M. O. Santos, Jordão Natal de Oliveira Júnior, M. Bessani, Carlos Dias Maciel
{"title":"CO2 Emissions Forecasting in Multi-Source Power Generation Systems Using Dynamic Bayesian Network","authors":"Talysson M. O. Santos, Jordão Natal de Oliveira Júnior, M. Bessani, Carlos Dias Maciel","doi":"10.1109/SysCon48628.2021.9447104","DOIUrl":"https://doi.org/10.1109/SysCon48628.2021.9447104","url":null,"abstract":"Climate change is one of the significant challenges that the planet is facing nowadays. CO2 emission is the largest contributor, and it is mainly released by human activities. In Europe, the energy sector is responsible for roughly two-thirds of all greenhouse gas (GHG) emissions and the amount of CO2 emitted from electricity production can greatly vary in time as a function of sources used to generate it. An accurate prediction of CO2 emissions not only provides a basis for policymakers, but it can also assist the management of carbon emissions in making efforts towards limiting emissions generation and global warming as a consequence. For such a purpose, researchers have proposed the use of traditional algorithms for forecasting CO2 emissions from the energy sector. However, there still are challenges yet to be overcome as regards forecasting CO2 emissions from the energy sector. Power dispatch problem consists in planning the use of all available sources for minimising the environmental impact while at the same time satisfying the energy demand, stressing the necessity to dealing with this topic in multi-source power generation systems. In this context, this paper presents the use of discrete Dynamic Bayesian Networks (DBN) to forecast CO2 emissions in a multi-source power generation system. The proposed methodology has been evaluated using the multi-source Germany grid data. The results were benchmarked against Multilayer Perceptron (MLP), K-nearest neighbor algorithm (KNN) and Random Forest (RF), and it was found that DBN achieved a significantly better performance due to reducing average NRMSE by 16.57%, average MAE by 19.88 $gCO_{2}eq/kWh$ and average MedAE by 27.48 $gCO_{2}eq/kWh$ in comparison with the second best method.","PeriodicalId":384949,"journal":{"name":"2021 IEEE International Systems Conference (SysCon)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122373855","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}
引用次数: 4
Systems Engineering Defined 系统工程定义
2021 IEEE International Systems Conference (SysCon) Pub Date : 2021-04-15 DOI: 10.1109/SysCon48628.2021.9690696
Vegard Haugerud, M. Mansouri
{"title":"Systems Engineering Defined","authors":"Vegard Haugerud, M. Mansouri","doi":"10.1109/SysCon48628.2021.9690696","DOIUrl":"https://doi.org/10.1109/SysCon48628.2021.9690696","url":null,"abstract":"Systems engineering is widely believed to be both critical and beneficial in dealing with complex problems, from its origin until today. Despite this, however, what the term “systems engineering” represents has been the cause of discussions and confusion for a long time. This paper briefly describes the history of systems engineering and its applications, before looking at the problems associated with defining systems engineering and problems associated with already established definitions of the term. This is achieved by reviewing systems engineering definitions found through a collection of a variety of systems engineering literature, including definitions defined by systems engineering standards, the International Council on Systems Engineering (INCOSE), and the Systems Engineering Body of Knowledge (SEBoK). These definitions are reviewed from a systems thinking perspective while applying systems thinking tools and methods. This paper gathers a collection of key components distilled from the different definitions and their respective literature. The key components are then being considered both individually and holistically before they are integrated to form a new definition of systems engineering, presented at the end of the paper. The propose of the new definition together with a corresponding systemigram is to eliminate some of the confusion associated with systems engineering.","PeriodicalId":384949,"journal":{"name":"2021 IEEE International Systems Conference (SysCon)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122894219","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}
引用次数: 0
A Model-Based Approach to Document a System-of-Systems 基于模型的系统之系统文档化方法
2021 IEEE International Systems Conference (SysCon) Pub Date : 2021-04-15 DOI: 10.1109/SysCon48628.2021.9591251
Stephan Baumgart, S. Punnekkat
{"title":"A Model-Based Approach to Document a System-of-Systems","authors":"Stephan Baumgart, S. Punnekkat","doi":"10.1109/SysCon48628.2021.9591251","DOIUrl":"https://doi.org/10.1109/SysCon48628.2021.9591251","url":null,"abstract":"The technical evolution enables the development and application of autonomous systems in various domains. In the on-road and off-road vehicle domains, autonomous vehicles are applied in different contexts. Autonomous cars are designed as single system solutions, while in other scenarios, multiple autonomous or semi-autonomous vehicles are integrated into a system-of-systems. We utilize a case from the earth-moving machinery domain, where a fleet of autonomous vehicles is used for transporting material in off-road environments. The traditional industrial development processes in the earth-moving machinery domain focus on single human-operated systems and lack clear support for autonomous system-of-systems. From our studies of industrial development of system-of-systems, we recognize the demand for guidance on how to document a system-of-systems. The goal of this work is to provide a framework using different model-based formalisms. As a structural background, we utilize the SafeSoS process, where each step specifies details about the targeted system-of-systems. Specifically, we apply model-based systems engineering to describe the structure and behavior of each SoS level. We utilize an industrial case to exemplify how model-based concepts can be applied to capture relevant information needed for designing the system-of-systems. This work provides guidelines for practitioners in developing safe system-of-systems.","PeriodicalId":384949,"journal":{"name":"2021 IEEE International Systems Conference (SysCon)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128689858","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}
引用次数: 0
Cognitive Rehabilitation based Personalized Solution for Dementia Patients using Reinforcement Learning 基于认知康复的强化学习痴呆患者个性化解决方案
2021 IEEE International Systems Conference (SysCon) Pub Date : 2021-04-15 DOI: 10.1109/SysCon48628.2021.9447133
M. Rathnayaka, W. K. C. R. Watawala, M. G. Manamendra, S. Silva, D. Kasthurirathna, Thilini Jayalath
{"title":"Cognitive Rehabilitation based Personalized Solution for Dementia Patients using Reinforcement Learning","authors":"M. Rathnayaka, W. K. C. R. Watawala, M. G. Manamendra, S. Silva, D. Kasthurirathna, Thilini Jayalath","doi":"10.1109/SysCon48628.2021.9447133","DOIUrl":"https://doi.org/10.1109/SysCon48628.2021.9447133","url":null,"abstract":"Dementia is one of the most challenging health problems faced globally with the increase in the ageing population. The estimated current prevalence of dementia is 47.5 million worldwide. This number will nearly double in every 20 years globally. Dementia is basically, a syndrome which cannot be cured by medicine, but non-pharmacological therapy can be used to treat Dementia patients, this is known as Cognitive Rehabilitation Therapy. According to the recommendations of the doctors, the use of a brain training application could be better than traditional approaches. There are number of Brain training mobile applications in the world that could be useful in improving human concentration, attention and all sorts of brain activities but there isn’t any customized software solution that has games or activities. Patients can be in different stages of Dementia. Therefore, for a better cognitive rehabilitation they need personalized therapies with the games and activities. Accordingly, developing this application is an actual global requirement for dementia patients. The world is evolving with new technologies and this application includes the mind games based on such technologies as Reinforcement Learning which predict the next level for patients based on user behavior. And there are some activities on speech recognition using Deep Neural Network as well. Patients, caregivers and doctors can view the progress reports of the patients. All the games have designed along with the supervision and recommendation from a Consultant Psychiatrist in Sri Lanka. The main objective is to help the Dementia patients in cognitive rehabilitation to improve the quality of life with best suited personalized games and activities.","PeriodicalId":384949,"journal":{"name":"2021 IEEE International Systems Conference (SysCon)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127125359","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}
引用次数: 1
Differential Privacy for Fair Deep Learning Models 公平深度学习模型的差分隐私
2021 IEEE International Systems Conference (SysCon) Pub Date : 2021-04-15 DOI: 10.1109/SysCon48628.2021.9591252
Ahmed El Ouadrhiri, A. Abdelhadi
{"title":"Differential Privacy for Fair Deep Learning Models","authors":"Ahmed El Ouadrhiri, A. Abdelhadi","doi":"10.1109/SysCon48628.2021.9591252","DOIUrl":"https://doi.org/10.1109/SysCon48628.2021.9591252","url":null,"abstract":"Increasingly, we rely on deep learning to make decisions. Yet, these models may take unfair decisions due to bias in the training data-sets. Most of the time, this bias is discrimination due to sensitive attributes such as gender, race, or ethnicity. In fact, discrimination and inequities are a daily reality that continues to exist in many fields, e.g. hiring processes, tenures, and workplaces. Therefore, exiting data-sets may be biased which results in getting unfair learning models. In this paper, we empirically prove that learning models trained on biased datasets will produce unfair and discriminating models. To handle this problem, we propose a pre-processing approach that takes advantage of differential privacy properties to mitigate bias in sensitive attributes of data-sets. More precisely, in the learning process, we introduce the randomized response mechanism to mitigate the inequity and avoid discrimination from the training data-set. We evaluate our approach in a hiring process using a synthetic data-set of resumes of candidates. Simulation results show that our approach mitigates bias and takes more fair decisions compared to the TensorFlow differential privacy library or a learning model without our pre-processing approach. This is owing to the fact that the TensorFlow library applies differential privacy to all attributes, Whilst in our approach we only apply the differential privacy mechanism to sensitive attributes that are the source of the discrimination.","PeriodicalId":384949,"journal":{"name":"2021 IEEE International Systems Conference (SysCon)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126251967","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}
引用次数: 2
Experimental Validation of a Steering Control System using an Adaptive Fuzzy Controller and Computer Vision 基于自适应模糊控制器和计算机视觉的转向控制系统的实验验证
2021 IEEE International Systems Conference (SysCon) Pub Date : 2021-04-15 DOI: 10.1109/SysCon48628.2021.9447097
Thiago H. Sato, S. Santos, André Marcorin de Oliveira, F. Cappabianco, S. Givigi
{"title":"Experimental Validation of a Steering Control System using an Adaptive Fuzzy Controller and Computer Vision","authors":"Thiago H. Sato, S. Santos, André Marcorin de Oliveira, F. Cappabianco, S. Givigi","doi":"10.1109/SysCon48628.2021.9447097","DOIUrl":"https://doi.org/10.1109/SysCon48628.2021.9447097","url":null,"abstract":"This paper proposes an adaptive steering control strategy for self-driving cars based on a Fuzzy Expert System and Reinforcement Learning. Our objective consists in deriving an appropriate control law directly from a real vehicle that allows it to navigate on several types of lanes, by controlling the position in relation to the center of the tracks and also the translation speed of the vehicle. Using an on-line Reinforcement Learning approach, the Fuzzy expert controller is derived considering the coupling and non-linearity of the model on straight and winding tracks. To do this, an embedded camera captures the images and sends them to the computer vision algorithm responsible for performing tracks detection and recognition. From that, the control references which indicate the navigation path and direction on the lane are calculated. The main contribution of this work is to apply an online reinforcement learning approach to tune and optimize the fuzzy steering controller while the vehicle navigates through different routes. Using a real vehicle equipped with an embedded computer and also the implemented web user interface, the learning evolution of the adaptive fuzzy controller can be managed remotely during trial in actual environments. Experimental results showed that the learned fuzzy expert controller controls the self-driving car during the path tracking and precisely performs the execution of different maneuvers.","PeriodicalId":384949,"journal":{"name":"2021 IEEE International Systems Conference (SysCon)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125512314","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}
引用次数: 0
Testing the Application of Support Vector Machine (SVM) to Technical Trading Rules 支持向量机(SVM)在技术交易规则中的应用
2021 IEEE International Systems Conference (SysCon) Pub Date : 2021-04-15 DOI: 10.1109/SysCon48628.2021.9447068
André R. Fonseca, M. Leles, Mariana G. Moreira, A. S. Vale-Cardoso, M. V. L. Pereira, E. Sbruzzi, C. Nascimento
{"title":"Testing the Application of Support Vector Machine (SVM) to Technical Trading Rules","authors":"André R. Fonseca, M. Leles, Mariana G. Moreira, A. S. Vale-Cardoso, M. V. L. Pereira, E. Sbruzzi, C. Nascimento","doi":"10.1109/SysCon48628.2021.9447068","DOIUrl":"https://doi.org/10.1109/SysCon48628.2021.9447068","url":null,"abstract":"The stock price movements result from many factors that are often difficult to be detected and modelled. The investigation of price trends and the use of the information available to evaluate investments and identify trading opportunities can be promising. However, financial data are non-stationary, i.e., their statistical characteristics constantly change. Therefore, the financial market is a challenging environment for the application of Machine Learning techniques, since they can only make reliable predictions to data consistent with what they have seen before. This paper test the use of a Machine Learning technique known as Support Vector Machines (SVM) aiming at being a tool to support the decision making process of trading at the stock market. SVM aggregates some input signals and, based on a set of technical indicators and historical price changes, create buy/sell recommendations of a given security as outputs. The dataset comprises several Brazilian stocks time-series traded on both the Brazilian (B3) and American (NYSE) stock exchange. These time-series belong to various economic sectors and present different market dynamics. The computational simulations are based on a fictitious strategy that does not consider the trading costs and only long positions are allowed. Using two risk-adjusted performance metrics, the results show that strategies based on the SVM model achieve better performance than the Buy & Hold benchmark.","PeriodicalId":384949,"journal":{"name":"2021 IEEE International Systems Conference (SysCon)","volume":"33 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129508748","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}
引用次数: 2
Using Recurrence Quantification Analysis to Quantify the Physiological Synchrony in Dyadic ECG Data 用递归量化分析量化双元心电数据的生理同步性
2021 IEEE International Systems Conference (SysCon) Pub Date : 2021-04-15 DOI: 10.1109/SysCon48628.2021.9447059
R. Veerabhadrappa, Imali T. Hettiarachchi, A. Bhatti
{"title":"Using Recurrence Quantification Analysis to Quantify the Physiological Synchrony in Dyadic ECG Data","authors":"R. Veerabhadrappa, Imali T. Hettiarachchi, A. Bhatti","doi":"10.1109/SysCon48628.2021.9447059","DOIUrl":"https://doi.org/10.1109/SysCon48628.2021.9447059","url":null,"abstract":"Socio-physiological compliance (SPC) is highly regarded in team settings and has attracted significant interest from science of teams researchers. Linear measures of heart rate variability (HRV) has been widely adopted to observe and analyse SPC by evaluating physiological interconnection between members of collaborating teams. In the recent past, nonlinear measurements such as Recurrent Quantification Analysis (RQA) has gained a significant momentum in the measurement of physical stress experienced by individuals using the electrocardiogram (ECG) recordings. In a team context, however, literature shows variants of RQA such as Cross-RQA and Multivariate-RQA have been commonly employed to analyse behavioural data from accelerometer or eye-tracking recordings, respectively. The current study presents an analysis employing RQA in a team setting using the HRV data derived from ECG recordings. From individuals, RQA is employed to extract nonlinear features of HRV, and the physiological synchrony between cognitively engaging participants is quantified via Pearson’s correlation coefficient. Most importantly, the study explores the effectiveness of these nonlinear HRV features as alternate options to assess SPC. In terms of capabilities to distinguish collaborating pairs’, the RQA measures; recurrence rate, laminarity, determinism and entropy, were observed to be robust in short-term window lengths and equally sensitive compared to linear features of HRV.","PeriodicalId":384949,"journal":{"name":"2021 IEEE International Systems Conference (SysCon)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129984850","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}
引用次数: 10
Analysis of software tools for model-based Generic Systems Engineering for organizations based on e-DeCoDe 基于e-DeCoDe的基于模型的组织通用系统工程软件工具分析
2021 IEEE International Systems Conference (SysCon) Pub Date : 2021-04-15 DOI: 10.1109/SysCon48628.2021.9447081
Marian Mistler, N. Schlueter, M. Löwer
{"title":"Analysis of software tools for model-based Generic Systems Engineering for organizations based on e-DeCoDe","authors":"Marian Mistler, N. Schlueter, M. Löwer","doi":"10.1109/SysCon48628.2021.9447081","DOIUrl":"https://doi.org/10.1109/SysCon48628.2021.9447081","url":null,"abstract":"To enable Systems Engineering in interdisciplinary teams adequately, suitable software tools are needed to master the complexity of system modeling within the problemsolving process respectively project management. However, since there are many different approaches for Systems Engineering, this paper considers Generic Systems Engineering (GSE) as a generally valid and proven approach. Furthermore, Systems Engineering can be applied to many different objects. For this purpose, the paper focuses on organization systems. This is due to the fact that the increasingly dynamic markets generate new or changing requirements that affect not only the production and development of technical products, but also the business processes in companies. This implicates, for instance, the infrastructure and the interfaces of business processes, the identification of responsible persons respectively roles, and moreover, the traceability of the information flow between persons and IT systems within the business processes. In order to manage the vast complexity of organizational structures in system modeling, the enhanced Demand Compliant Design (e-DeCoDe) approach is considered as an implicit part of Generic Systems Engineering. Hence, in this paper, we analyze, evaluate, and discuss different software tools and examine their suitability to ensure the model-based development of complex organizational systems using the Generic Systems Engineering and enhanced Demand Compliant Design approach.","PeriodicalId":384949,"journal":{"name":"2021 IEEE International Systems Conference (SysCon)","volume":"57 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132581694","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}
引用次数: 2
MBSE and MDAO for Early Validation of Design Decisions: a Bibliography Survey 设计决策早期验证的MBSE与MDAO:文献综述
2021 IEEE International Systems Conference (SysCon) Pub Date : 2021-04-15 DOI: 10.1109/SysCon48628.2021.9447140
J. Chaudemar, Pierre de Saqui-Sannes
{"title":"MBSE and MDAO for Early Validation of Design Decisions: a Bibliography Survey","authors":"J. Chaudemar, Pierre de Saqui-Sannes","doi":"10.1109/SysCon48628.2021.9447140","DOIUrl":"https://doi.org/10.1109/SysCon48628.2021.9447140","url":null,"abstract":"Switching from document-centric engineering to Model Based Systems Engineering (MBSE), Systems Engineering (SE) has significantly evolved in terms of standard practices for the design of complex, interdisciplinary systems. MBSE consists in a top-down, model based approach to describe the entire system focusing on different points of view that cover at least structural and behavioral descriptions. Over the past decade, the need to perform an engineering analysis in the early steps of the system’s life cycle has opened avenues for joint use of MBSE and Multidisciplinary Design Analysis and optimization (MDAO). MDAO is fully dedicated to Analysis and optimization: the model is restricted to a single aspect of the system that is described in details in a formal language that will be the input of the associated computing tool. This paper surveys and categorizes MBSE and MDAO approaches for better understanding of how MBSE and MDAO can be associated in a systems engineering project. Lessons learned from this literature survey will be used in the framework of French project Concorde. One major expected achievement of the project is to design and implement a methodology to populate parts of the MDAO modeling approach directly from the MBSE one, applied to a UAV case study.","PeriodicalId":384949,"journal":{"name":"2021 IEEE International Systems Conference (SysCon)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121229907","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}
引用次数: 6
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