Pub Date : 2020-09-01DOI: 10.23919/fruct49677.2020.9211057
A. M. H. Sad, Md Mashrur Sakib Choyon, Abu Hasnat Md Rhydwan, C. A. Hossain
The demand for a self-service device that can relay the information of an organization while maintaining privacy is quite crucial in today’s world. The introduction of kiosks in such states resolves this issue but the prevailing kiosk manufacturing companies don’t provide a plug & play system for kiosks. In order to nullify these issues, the design of an information kiosk as a plug & play system has been described in this paper. This kiosk can provide real-time information to the users removing the necessity of any sort of human assistance. Unlike the existing kiosks, this is a plug & play device, which makes it easier to install any specification or modification required as per the organization’s requirement. It also stands out from the existing ones through the use of image processing and computer vision making it more interactive as well as user friendly. The system also possesses the capability of processing a vast amount of data. These data are collected through sensors and other means as well as conveying with high accuracy and privacy. Furthermore, the system is low-cost in comparison with the available kiosks in the market.
{"title":"An Interactive Low-Cost Smart Assistant System: Information Kiosk as Plug & Play Device","authors":"A. M. H. Sad, Md Mashrur Sakib Choyon, Abu Hasnat Md Rhydwan, C. A. Hossain","doi":"10.23919/fruct49677.2020.9211057","DOIUrl":"https://doi.org/10.23919/fruct49677.2020.9211057","url":null,"abstract":"The demand for a self-service device that can relay the information of an organization while maintaining privacy is quite crucial in today’s world. The introduction of kiosks in such states resolves this issue but the prevailing kiosk manufacturing companies don’t provide a plug & play system for kiosks. In order to nullify these issues, the design of an information kiosk as a plug & play system has been described in this paper. This kiosk can provide real-time information to the users removing the necessity of any sort of human assistance. Unlike the existing kiosks, this is a plug & play device, which makes it easier to install any specification or modification required as per the organization’s requirement. It also stands out from the existing ones through the use of image processing and computer vision making it more interactive as well as user friendly. The system also possesses the capability of processing a vast amount of data. These data are collected through sensors and other means as well as conveying with high accuracy and privacy. Furthermore, the system is low-cost in comparison with the available kiosks in the market.","PeriodicalId":149674,"journal":{"name":"2020 27th Conference of Open Innovations Association (FRUCT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125594521","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 : 2020-09-01DOI: 10.23919/fruct49677.2020.9211055
A. Smirnov, T. Levashova
Digital technologies have become an integral part of all aspects of human life. Living digital style and interacting with various applications and Web sites, humans leave digital traces of their online activities. These traces organize human digital life. The paper introduces principles of intelligent decision support based on a model of user digital life. Such a model structures content of user digital life with relation to the problems the user have ever dealt with and the decisions made. The principles form the basis of a conceptual framework aiming at recommending decisions. Group patterns provide historical data to predict decisions. A group pattern represents a generalized model of digital life for a group of users with similar preferences and decision-making behaviours. An initial model of a decision maker ontology is presented that performs contextdependent classification of the users into decision maker types to provide context-aware recommendations.
{"title":"Intelligent Decision Support Based on User Digital Life Model: Principles and Conceptual Framework","authors":"A. Smirnov, T. Levashova","doi":"10.23919/fruct49677.2020.9211055","DOIUrl":"https://doi.org/10.23919/fruct49677.2020.9211055","url":null,"abstract":"Digital technologies have become an integral part of all aspects of human life. Living digital style and interacting with various applications and Web sites, humans leave digital traces of their online activities. These traces organize human digital life. The paper introduces principles of intelligent decision support based on a model of user digital life. Such a model structures content of user digital life with relation to the problems the user have ever dealt with and the decisions made. The principles form the basis of a conceptual framework aiming at recommending decisions. Group patterns provide historical data to predict decisions. A group pattern represents a generalized model of digital life for a group of users with similar preferences and decision-making behaviours. An initial model of a decision maker ontology is presented that performs contextdependent classification of the users into decision maker types to provide context-aware recommendations.","PeriodicalId":149674,"journal":{"name":"2020 27th Conference of Open Innovations Association (FRUCT)","volume":"82 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114059503","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 : 2020-09-01DOI: 10.23919/fruct49677.2020.9211083
Ali Shakkouf, V. Gromov
Objects tracking system is a research field of great importance. The two main reasons for this: 1 -Attempting to replace humans with robots or automatic systems in every field wherever possible. 2 -The accuracy, effectiveness and speed of those systems compared to human performance. In this research we propose a new approach for tracking objects and predicting the future trajectory of these objects. the main idea is to observe the object for about 15 seconds, this gives us part of the moving pattern, then “Dynamic Regressor Extension and Mixing (DREM)” algorithm is used to estimate the main frequencies involved in the detected movement pattern. The estimated frequencies are used to predict the future trajectory of the object. The accuracy of this method was tested using 5DOF arm robot, which try to grip the object at each moment of its future trajectory. This research performed on a virtual object designed in “vredit” in MATLAB. The object moves on an LCD screen. The results were represented as the difference between the predicted trajectory and the real future trajectory. Results show that tracking error of a ball moves on the screen for different moving pattern is less than lcm, where the screen stands 500mm far from arm base.
{"title":"Computer Vision System to Track Moving Objects with Unknown Periodic Moving Pattems-Based on DREM Algorithm","authors":"Ali Shakkouf, V. Gromov","doi":"10.23919/fruct49677.2020.9211083","DOIUrl":"https://doi.org/10.23919/fruct49677.2020.9211083","url":null,"abstract":"Objects tracking system is a research field of great importance. The two main reasons for this: 1 -Attempting to replace humans with robots or automatic systems in every field wherever possible. 2 -The accuracy, effectiveness and speed of those systems compared to human performance. In this research we propose a new approach for tracking objects and predicting the future trajectory of these objects. the main idea is to observe the object for about 15 seconds, this gives us part of the moving pattern, then “Dynamic Regressor Extension and Mixing (DREM)” algorithm is used to estimate the main frequencies involved in the detected movement pattern. The estimated frequencies are used to predict the future trajectory of the object. The accuracy of this method was tested using 5DOF arm robot, which try to grip the object at each moment of its future trajectory. This research performed on a virtual object designed in “vredit” in MATLAB. The object moves on an LCD screen. The results were represented as the difference between the predicted trajectory and the real future trajectory. Results show that tracking error of a ball moves on the screen for different moving pattern is less than lcm, where the screen stands 500mm far from arm base.","PeriodicalId":149674,"journal":{"name":"2020 27th Conference of Open Innovations Association (FRUCT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121620803","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 : 2020-09-01DOI: 10.23919/fruct49677.2020.9211047
A. Ivashchenko, A. Krivosheev, Denis Sveshnikov, Nikita Svechkov, Tatiana Feschenko, Yuliya Tyshkovskaya, A. Chuvakov
The paper proposes a new multi-layer solution to combine various algorithms implementing Artificial Intelligence (AI) for image recognition. Several neural networks are introduced to solve specific problems of objects identification. Additional “pre-launch matcher” is supplemented to scope out various objects and assigns them to the most corresponding AI modules. Distributed meter surveying is taken as an illustrative example of successful use. The introduced solution was implemented to process and analyze the results of electrical meters that are manually monitored by a group of patrol personnel inspectors using hand held devices. The results of development and testing show how the quality of neural network used for meter processing can be improved in practice.
{"title":"Intelligent Recognition in Automated Meters Surveying","authors":"A. Ivashchenko, A. Krivosheev, Denis Sveshnikov, Nikita Svechkov, Tatiana Feschenko, Yuliya Tyshkovskaya, A. Chuvakov","doi":"10.23919/fruct49677.2020.9211047","DOIUrl":"https://doi.org/10.23919/fruct49677.2020.9211047","url":null,"abstract":"The paper proposes a new multi-layer solution to combine various algorithms implementing Artificial Intelligence (AI) for image recognition. Several neural networks are introduced to solve specific problems of objects identification. Additional “pre-launch matcher” is supplemented to scope out various objects and assigns them to the most corresponding AI modules. Distributed meter surveying is taken as an illustrative example of successful use. The introduced solution was implemented to process and analyze the results of electrical meters that are manually monitored by a group of patrol personnel inspectors using hand held devices. The results of development and testing show how the quality of neural network used for meter processing can be improved in practice.","PeriodicalId":149674,"journal":{"name":"2020 27th Conference of Open Innovations Association (FRUCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128922567","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 : 2020-09-01DOI: 10.23919/fruct49677.2020.9211072
Mohamed Nabih Ali, A. Brutti, D. Falavigna
Speech enhancement is a relevant component in many real-world applications such as hearing aid devices, mobile telecommunications, and healthcare applications. In this paper, we investigate on the Dilated Wave-U-Net model: a recently proposed end-to-end neural speech enhancement approach based on the Wave-U-Net architecture. We evaluate the performance of the model on two datasets: the public VCTK dataset, and a contaminated version of Librispeech dataset. In particular, we experiment on using alternative losses based on the MSE loss, L1 norm and on a combination of L1 and MSE losses. Results show that the Dilated Wave-U-Net architecture outperforms other state-of-the-art methods in terms of intelligibility and quality metrics on both datasets and that MSE loss is the most performing one.
{"title":"Speech Enhancement Using Dilated Wave-U-Net: an Experimental Analysis","authors":"Mohamed Nabih Ali, A. Brutti, D. Falavigna","doi":"10.23919/fruct49677.2020.9211072","DOIUrl":"https://doi.org/10.23919/fruct49677.2020.9211072","url":null,"abstract":"Speech enhancement is a relevant component in many real-world applications such as hearing aid devices, mobile telecommunications, and healthcare applications. In this paper, we investigate on the Dilated Wave-U-Net model: a recently proposed end-to-end neural speech enhancement approach based on the Wave-U-Net architecture. We evaluate the performance of the model on two datasets: the public VCTK dataset, and a contaminated version of Librispeech dataset. In particular, we experiment on using alternative losses based on the MSE loss, L1 norm and on a combination of L1 and MSE losses. Results show that the Dilated Wave-U-Net architecture outperforms other state-of-the-art methods in terms of intelligibility and quality metrics on both datasets and that MSE loss is the most performing one.","PeriodicalId":149674,"journal":{"name":"2020 27th Conference of Open Innovations Association (FRUCT)","volume":"154 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122075893","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 : 2020-09-01DOI: 10.23919/fruct49677.2020.9211075
V. Kramar
This paper presents the result of an investigation how Unmanned Aviation Systems were applied in the first half of 2020 in response to the coronavirus COVID-19 challenges. The application cases collected and referenced in this paper are pandemic specific only even though many of them may be considered as typical. An important discovery was that the majority of limitations preventing the high spread of UAS applications are not technological. Nevertheless, innovative technologies, application cases and services that have originated during the pandemic period are expected to evolve and adapt to other situations and shape the future markets.
{"title":"UAS (drone) in Response to Coronavirus","authors":"V. Kramar","doi":"10.23919/fruct49677.2020.9211075","DOIUrl":"https://doi.org/10.23919/fruct49677.2020.9211075","url":null,"abstract":"This paper presents the result of an investigation how Unmanned Aviation Systems were applied in the first half of 2020 in response to the coronavirus COVID-19 challenges. The application cases collected and referenced in this paper are pandemic specific only even though many of them may be considered as typical. An important discovery was that the majority of limitations preventing the high spread of UAS applications are not technological. Nevertheless, innovative technologies, application cases and services that have originated during the pandemic period are expected to evolve and adapt to other situations and shape the future markets.","PeriodicalId":149674,"journal":{"name":"2020 27th Conference of Open Innovations Association (FRUCT)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126070708","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 : 2020-09-01DOI: 10.23919/fruct49677.2020.9211080
{"title":"[Front matter]","authors":"","doi":"10.23919/fruct49677.2020.9211080","DOIUrl":"https://doi.org/10.23919/fruct49677.2020.9211080","url":null,"abstract":"","PeriodicalId":149674,"journal":{"name":"2020 27th Conference of Open Innovations Association (FRUCT)","volume":"427 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116721820","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 : 2020-09-01DOI: 10.23919/fruct49677.2020.9211082
Hugo Calderon-Vilca, Nilton Mercado Chavez, José María Rojas Guimarey
A videogame as software and as a product presents a great variety of characteristics: gender, theme, platform, target audience, among others. In recent years, the number of videogames developed has grown notably thanks to the industry, as users have a large catalog available, who often may be curious to play another videogame that has not been presented in an advertising medium. In present investigation we propose a videogame recommendation architecture and a recommendation system using Fuzzy Logic, in the construction we have designed 16 rules with fuzzy sets. A database of approximately 55,000 games and of its 16 attributes of which 5 were used for the recommendation system was used: 4 attributes (Critic Score, User Score, Global_Sales, Year) to establish membership functions with the 16 rules of recommendation formed based on the opinion of experts in the field of videogame analysis and 1 attribute (Age) to develop the content filter according to age applying an ethics model in Artificial intelligence. The results of our computational experiments with the proposed architecture reached an accuracy percentage of 80,0%.
作为软件和产品的电子游戏呈现出各种各样的特征:性别、主题、平台、目标用户等等。近年来，由于游戏行业的发展，电子游戏的开发数量显著增长，因为用户有大量的可用目录，他们通常会好奇地玩另一款没有出现在广告媒体上的电子游戏。在本研究中，我们提出了一种基于模糊逻辑的视频游戏推荐体系结构和推荐系统，在该体系结构中，我们设计了16条带有模糊集的规则。我们使用了一个包含约55,000款游戏的数据库及其16个属性(其中5个属性用于推荐系统):4个属性(Critic Score, User Score, Global_Sales, Year)用于建立成员函数，并根据电子游戏分析领域专家的意见形成16条推荐规则，1个属性(Age)用于根据年龄开发应用人工智能伦理模型的内容过滤器。我们的计算实验结果表明，我们提出的架构达到了80%，0%的准确率。
{"title":"Recommendation of Videogames with Fuzzy Logic","authors":"Hugo Calderon-Vilca, Nilton Mercado Chavez, José María Rojas Guimarey","doi":"10.23919/fruct49677.2020.9211082","DOIUrl":"https://doi.org/10.23919/fruct49677.2020.9211082","url":null,"abstract":"A videogame as software and as a product presents a great variety of characteristics: gender, theme, platform, target audience, among others. In recent years, the number of videogames developed has grown notably thanks to the industry, as users have a large catalog available, who often may be curious to play another videogame that has not been presented in an advertising medium. In present investigation we propose a videogame recommendation architecture and a recommendation system using Fuzzy Logic, in the construction we have designed 16 rules with fuzzy sets. A database of approximately 55,000 games and of its 16 attributes of which 5 were used for the recommendation system was used: 4 attributes (Critic Score, User Score, Global_Sales, Year) to establish membership functions with the 16 rules of recommendation formed based on the opinion of experts in the field of videogame analysis and 1 attribute (Age) to develop the content filter according to age applying an ethics model in Artificial intelligence. The results of our computational experiments with the proposed architecture reached an accuracy percentage of 80,0%.","PeriodicalId":149674,"journal":{"name":"2020 27th Conference of Open Innovations Association (FRUCT)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117100073","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 : 2020-09-01DOI: 10.23919/fruct49677.2020.9211010
Nishal Silva, C. Fischione, L. Turchet
The computational detection of musical patterns is widely studied in the field of Music Information Retrieval and has numerous applications. However, pattern detection in real-time has not yet received adequate attention. The real-time detection is important in several application domains, especially in the field of the Internet of Musical Things. This study considers a single musical instrument and investigates the detection in real-time of patterns of a monophonic music stream. We present a representation mechanism to denote musical notes as a single column matrix, whose content corresponds to three key attributes of each musical note-pitch, amplitude and duration. The note attributes are obtained from a symbolic MIDI representation. Based on such representation, we compare the most prominent candidate methods based on neural networks and one deterministic method. Numerical results show the accuracy of each method, and allow us to characterize the trade-offs among those methods.
{"title":"Towards Real-Time Detection of Symbolic Musical Patterns: Probabilistic vs. Deterministic Methods","authors":"Nishal Silva, C. Fischione, L. Turchet","doi":"10.23919/fruct49677.2020.9211010","DOIUrl":"https://doi.org/10.23919/fruct49677.2020.9211010","url":null,"abstract":"The computational detection of musical patterns is widely studied in the field of Music Information Retrieval and has numerous applications. However, pattern detection in real-time has not yet received adequate attention. The real-time detection is important in several application domains, especially in the field of the Internet of Musical Things. This study considers a single musical instrument and investigates the detection in real-time of patterns of a monophonic music stream. We present a representation mechanism to denote musical notes as a single column matrix, whose content corresponds to three key attributes of each musical note-pitch, amplitude and duration. The note attributes are obtained from a symbolic MIDI representation. Based on such representation, we compare the most prominent candidate methods based on neural networks and one deterministic method. Numerical results show the accuracy of each method, and allow us to characterize the trade-offs among those methods.","PeriodicalId":149674,"journal":{"name":"2020 27th Conference of Open Innovations Association (FRUCT)","volume":"45 15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123656850","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 : 2020-09-01DOI: 10.23919/fruct49677.2020.9211030
Polina Noskova, Rami Al-Naim
In this paper a new algorithm for the synthesis of a magnetic flux observer for a nonsalient-pole permanent magnet synchronous motor is presented. The following assumptions are made: some electrical parameters of the motor (the resistance and inductance of the stator) are known and constant, the current and voltage of motor are measurable. The proposed approach to observer synthesis is based on the use of trigonometric properties and linear filtering properties that allow to conduct a standard regression model consisting of measurable time-varying functions and unknown components of the magnetic flux. It is proved that the proposed observer provides global exponential convergence of estimation errors to zero. To verify the correct operation of the obtained observer simulation is performed in the MATLAB environment for various load moments of the motor.
{"title":"Adaptive Observer of Magnetic Flux for a Nonsalient-pole Permanent Magnet Synchronous Motor","authors":"Polina Noskova, Rami Al-Naim","doi":"10.23919/fruct49677.2020.9211030","DOIUrl":"https://doi.org/10.23919/fruct49677.2020.9211030","url":null,"abstract":"In this paper a new algorithm for the synthesis of a magnetic flux observer for a nonsalient-pole permanent magnet synchronous motor is presented. The following assumptions are made: some electrical parameters of the motor (the resistance and inductance of the stator) are known and constant, the current and voltage of motor are measurable. The proposed approach to observer synthesis is based on the use of trigonometric properties and linear filtering properties that allow to conduct a standard regression model consisting of measurable time-varying functions and unknown components of the magnetic flux. It is proved that the proposed observer provides global exponential convergence of estimation errors to zero. To verify the correct operation of the obtained observer simulation is performed in the MATLAB environment for various load moments of the motor.","PeriodicalId":149674,"journal":{"name":"2020 27th Conference of Open Innovations Association (FRUCT)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122698562","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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