Pub Date : 2019-12-01DOI: 10.1109/iceest48626.2019.8981696
{"title":"ICEEST 2019 ECF Report","authors":"","doi":"10.1109/iceest48626.2019.8981696","DOIUrl":"https://doi.org/10.1109/iceest48626.2019.8981696","url":null,"abstract":"","PeriodicalId":201513,"journal":{"name":"2019 4th International Conference on Emerging Trends in Engineering, Sciences and Technology (ICEEST)","volume":"59 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116383575","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 : 2019-12-01DOI: 10.1109/ICEEST48626.2019.8981703
F. U. Haq, Waqas Awan, T. Rashid, T. Ahmed, U. Zia, M. Zulfiqar
Residential Sector is among the major consumers of energy especially considering the power sector. The constantly growing energy demand of this sector can be achieved under two scenarios. Either we have to increase the resource supply, or we start producing comparatively more efficient devices. This study assesses the energy savings obtained through technological advancements in residential sector of Pakistan through utilization of Solar Fans. Long Range Energy Alternative Planning (LEAP) model is used to forecast the energy outlook of this sector in 2040 under different scenarios. A complete feasibility study has been performed depicting both the energy savings and economic considerations. Results obtained from the model depicts that Solar fans can attain a penetration level of 30% by 2040. This will consequently result in energy savings of about 5000 GWh even after regular growth in consumption of residential sector due to demand drivers.
住宅部门是能源的主要消费者之一，特别是考虑到电力部门。该部门不断增长的能源需求可以在两种情况下实现。要么我们必须增加资源供给，要么我们开始生产相对高效的设备。本研究评估了通过利用太阳能风扇在巴基斯坦住宅部门取得的技术进步所节省的能源。采用长期能源替代规划(Long Range Energy Alternative Planning, LEAP)模型对2040年不同情景下该行业的能源前景进行了预测。已经进行了一项完整的可行性研究，描述了节能和经济方面的考虑。从模型得到的结果显示，到2040年，太阳能风扇的渗透率可以达到30%。因此，即使在需求驱动的住宅部门消费正常增长之后，这也将节省约5000吉瓦时的能源。
{"title":"Assessment of Energy Savings through Technological Innovation: A case Study for Residential Sector of Pakistan","authors":"F. U. Haq, Waqas Awan, T. Rashid, T. Ahmed, U. Zia, M. Zulfiqar","doi":"10.1109/ICEEST48626.2019.8981703","DOIUrl":"https://doi.org/10.1109/ICEEST48626.2019.8981703","url":null,"abstract":"Residential Sector is among the major consumers of energy especially considering the power sector. The constantly growing energy demand of this sector can be achieved under two scenarios. Either we have to increase the resource supply, or we start producing comparatively more efficient devices. This study assesses the energy savings obtained through technological advancements in residential sector of Pakistan through utilization of Solar Fans. Long Range Energy Alternative Planning (LEAP) model is used to forecast the energy outlook of this sector in 2040 under different scenarios. A complete feasibility study has been performed depicting both the energy savings and economic considerations. Results obtained from the model depicts that Solar fans can attain a penetration level of 30% by 2040. This will consequently result in energy savings of about 5000 GWh even after regular growth in consumption of residential sector due to demand drivers.","PeriodicalId":201513,"journal":{"name":"2019 4th International Conference on Emerging Trends in Engineering, Sciences and Technology (ICEEST)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116126291","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 : 2019-12-01DOI: 10.1109/ICEEST48626.2019.8981690
Muhammad Umar Khan, Sumair Aziz, Khushbakht Iqtidar, Areeba Zainab, Abdullah F. Saud
Acute Coronary Syndrome (ACS) is one the major reason of increasing mortality rate. Despite medical advances, there isn’t any efficient method that can control this proliferating mortality rate. The major aim of this study is detection of ACS using Pulse Plethysmograph (PuPG) signal analysis. 348 samples of PuPG signal were acquired by fastening PuPG sensor to subject’s index finger. Signal data is preprocessed through Empirical Mode Decomposition (EMD) to remove any possible noise and other artifacts. Extensive experimental analysis was performed to select features having maximum intraclass distance and discriminative power to classify ACS and Normal signals through Support Vector Machines (SVM) classifier. 5-fold cross validation was used to perform training and testing of proposed model using self-collected dataset of PuPG signals. Average accuracy of 99.42%, sensitivity of 99.43% and specificity of 99.41% is obtained through SVM with cubic kernel proving proposed model as a best possible methodology in-terms of cost and efficiency as compared to existing solutions.
{"title":"Prediction of Acute Coronary Syndrome Using Pulse Plethysmograph","authors":"Muhammad Umar Khan, Sumair Aziz, Khushbakht Iqtidar, Areeba Zainab, Abdullah F. Saud","doi":"10.1109/ICEEST48626.2019.8981690","DOIUrl":"https://doi.org/10.1109/ICEEST48626.2019.8981690","url":null,"abstract":"Acute Coronary Syndrome (ACS) is one the major reason of increasing mortality rate. Despite medical advances, there isn’t any efficient method that can control this proliferating mortality rate. The major aim of this study is detection of ACS using Pulse Plethysmograph (PuPG) signal analysis. 348 samples of PuPG signal were acquired by fastening PuPG sensor to subject’s index finger. Signal data is preprocessed through Empirical Mode Decomposition (EMD) to remove any possible noise and other artifacts. Extensive experimental analysis was performed to select features having maximum intraclass distance and discriminative power to classify ACS and Normal signals through Support Vector Machines (SVM) classifier. 5-fold cross validation was used to perform training and testing of proposed model using self-collected dataset of PuPG signals. Average accuracy of 99.42%, sensitivity of 99.43% and specificity of 99.41% is obtained through SVM with cubic kernel proving proposed model as a best possible methodology in-terms of cost and efficiency as compared to existing solutions.","PeriodicalId":201513,"journal":{"name":"2019 4th International Conference on Emerging Trends in Engineering, Sciences and Technology (ICEEST)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128518589","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 : 2019-12-01DOI: 10.1109/ICEEST48626.2019.8981694
H. Nasir, A. B. Ahmed, Mustafa Tariq, Syed Ali Abbas Kazmi
Balcohistan lies in the southern part of Pakistan with abundance of renewable energy prospects. The region consists huge potential for solar and wind energy. Many renewable projects have been planned for this region although the rural aspect of population distribution develops transmission and distribution issues. To cater such problems, microgrids are proposed for Balochistan. Since CPEC and other projects are planned for this region, the demand is further expected to grow. The self-sufficient system proposed in this system analysis the solar potential of these regions, the impact on the environment and as well communication protocols. Communication is important since virtual power plants and smart grid implementation would require microgrids to interact with each other in any efficient way. The paper analyzes the potential technical proficiency for this communication protocol. The test case has been discussed for the cities of Jiwani and Gwadar, where distances and bandwidth for selection of best protocol can be implemented in the near future.
{"title":"Evaluation and Analysis of Sustainable Microgrids and Communication Policy: A test case of Balochistan","authors":"H. Nasir, A. B. Ahmed, Mustafa Tariq, Syed Ali Abbas Kazmi","doi":"10.1109/ICEEST48626.2019.8981694","DOIUrl":"https://doi.org/10.1109/ICEEST48626.2019.8981694","url":null,"abstract":"Balcohistan lies in the southern part of Pakistan with abundance of renewable energy prospects. The region consists huge potential for solar and wind energy. Many renewable projects have been planned for this region although the rural aspect of population distribution develops transmission and distribution issues. To cater such problems, microgrids are proposed for Balochistan. Since CPEC and other projects are planned for this region, the demand is further expected to grow. The self-sufficient system proposed in this system analysis the solar potential of these regions, the impact on the environment and as well communication protocols. Communication is important since virtual power plants and smart grid implementation would require microgrids to interact with each other in any efficient way. The paper analyzes the potential technical proficiency for this communication protocol. The test case has been discussed for the cities of Jiwani and Gwadar, where distances and bandwidth for selection of best protocol can be implemented in the near future.","PeriodicalId":201513,"journal":{"name":"2019 4th International Conference on Emerging Trends in Engineering, Sciences and Technology (ICEEST)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127060220","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 : 2019-12-01DOI: 10.1109/iceest48626.2019.8981699
{"title":"ICEEST 2019 Author List","authors":"","doi":"10.1109/iceest48626.2019.8981699","DOIUrl":"https://doi.org/10.1109/iceest48626.2019.8981699","url":null,"abstract":"","PeriodicalId":201513,"journal":{"name":"2019 4th International Conference on Emerging Trends in Engineering, Sciences and Technology (ICEEST)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131342919","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 : 2019-12-01DOI: 10.1109/ICEEST48626.2019.8981684
Taha Salim, S. R. U. N. Jafri, Musab Ahmed, Arooba Jamal, S. Malik, R. Uddin
This work presents development of custom made humanoid robot that can be used for educational and assistive applications using Robot Operating System (ROS) platform. This robot is capable of localizing itself within working vicinity and can perform different tasks such as teaching demonstration, human interaction and grasping of an object using ROS Moveit package. The development cost of the system is comparatively cheaper than the available standard international products and real scenario performance results of the system have been found satisfactory.
{"title":"Humanoid robot for educational and assistive applications","authors":"Taha Salim, S. R. U. N. Jafri, Musab Ahmed, Arooba Jamal, S. Malik, R. Uddin","doi":"10.1109/ICEEST48626.2019.8981684","DOIUrl":"https://doi.org/10.1109/ICEEST48626.2019.8981684","url":null,"abstract":"This work presents development of custom made humanoid robot that can be used for educational and assistive applications using Robot Operating System (ROS) platform. This robot is capable of localizing itself within working vicinity and can perform different tasks such as teaching demonstration, human interaction and grasping of an object using ROS Moveit package. The development cost of the system is comparatively cheaper than the available standard international products and real scenario performance results of the system have been found satisfactory.","PeriodicalId":201513,"journal":{"name":"2019 4th International Conference on Emerging Trends in Engineering, Sciences and Technology (ICEEST)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122893618","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 : 2019-12-01DOI: 10.1109/ICEEST48626.2019.8981713
Reinaldo Pedro Mathe, S. Ali, S. I. Gilani, Syed Hasan Adil, Mansoor Ebrahim
Traditional air conditioners are designed to maintain the indoor temperature and humidity at a desired level. They were not designed to monitor room occupants comfort and because of controlling the indoor air temperature they consume extra energy. The purpose of this project was to improve building occupants’ thermal comfort and optimize the energy consumption by air conditioners. This was achieved by relating building occupant blood pressure to the temperature fed by air-conditioner. From the results of this study, it was noticed an inverse relationship between the blood pressure and Temperature. The project is relevant for improving the comfort of the people subjected to air-conditioned environment and helps to optimize the energy consumption by the air conditioners
{"title":"Advanced Bio-Sensing System for Thermal Ambience Comfort","authors":"Reinaldo Pedro Mathe, S. Ali, S. I. Gilani, Syed Hasan Adil, Mansoor Ebrahim","doi":"10.1109/ICEEST48626.2019.8981713","DOIUrl":"https://doi.org/10.1109/ICEEST48626.2019.8981713","url":null,"abstract":"Traditional air conditioners are designed to maintain the indoor temperature and humidity at a desired level. They were not designed to monitor room occupants comfort and because of controlling the indoor air temperature they consume extra energy. The purpose of this project was to improve building occupants’ thermal comfort and optimize the energy consumption by air conditioners. This was achieved by relating building occupant blood pressure to the temperature fed by air-conditioner. From the results of this study, it was noticed an inverse relationship between the blood pressure and Temperature. The project is relevant for improving the comfort of the people subjected to air-conditioned environment and helps to optimize the energy consumption by the air conditioners","PeriodicalId":201513,"journal":{"name":"2019 4th International Conference on Emerging Trends in Engineering, Sciences and Technology (ICEEST)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126159277","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 : 2019-12-01DOI: 10.1109/ICEEST48626.2019.8981704
A. Waqar, M. Amir, Imtiaz Alam, Z. Khan, Sohaib Ali Khan, Tausif Zahid, M. Zahid
In recent years, utilization of power electronic converters has been drastically increased. These converters act like non-linear loads for utility grid. Such non-linear loads distort the supply current through injection of harmonics. One such example is the uninterruptible power supply (UPS) system, which is a major source of current harmonics. These harmonics affect the performance of distribution transformers in terms of losses, heating of core, stress on insulation and tripping of the protection relays. In this paper, the increase of total harmonic distortion (THD) of the supply current, caused by uncontrolled rectifiers used in UPS systems, has been minimized. Two methods including passive filters (PF) and active filters (AF) have been applied to minimize the THD. The simulations have been performed in MATLAB/Simulink environment where the results of both schemes have been compared under various load conditions (RL and unbalanced load). It has been found that AF provides a better solution as compared to PF for such load conditions.
{"title":"Harmonics Suppression in Distribution Networks composed of Uninterruptible Power Supply Systems","authors":"A. Waqar, M. Amir, Imtiaz Alam, Z. Khan, Sohaib Ali Khan, Tausif Zahid, M. Zahid","doi":"10.1109/ICEEST48626.2019.8981704","DOIUrl":"https://doi.org/10.1109/ICEEST48626.2019.8981704","url":null,"abstract":"In recent years, utilization of power electronic converters has been drastically increased. These converters act like non-linear loads for utility grid. Such non-linear loads distort the supply current through injection of harmonics. One such example is the uninterruptible power supply (UPS) system, which is a major source of current harmonics. These harmonics affect the performance of distribution transformers in terms of losses, heating of core, stress on insulation and tripping of the protection relays. In this paper, the increase of total harmonic distortion (THD) of the supply current, caused by uncontrolled rectifiers used in UPS systems, has been minimized. Two methods including passive filters (PF) and active filters (AF) have been applied to minimize the THD. The simulations have been performed in MATLAB/Simulink environment where the results of both schemes have been compared under various load conditions (RL and unbalanced load). It has been found that AF provides a better solution as compared to PF for such load conditions.","PeriodicalId":201513,"journal":{"name":"2019 4th International Conference on Emerging Trends in Engineering, Sciences and Technology (ICEEST)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116866871","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 : 2019-12-01DOI: 10.1109/ICEEST48626.2019.8981712
Nouman M. Durrani, Farhan Qasim Zaur, Uzair Alam, Qasim Usmani, Raiha Khan, Nadeem Kafi Khan
Organizations are generating diverse data regarding their promotion. Finding the right product competitors and their promotions on different social platforms in a target region are difficult and time-consuming. Hence, a social media analysis and reporting system is required that can provide a business intelligence solution to keep an eye on your competing business organizations and give benefit from their marketing strategies in a proactive manner. The system enables us to find a potential list of competitors based on the product and collect their data from different social media websites (Facebook, Twitter, Google+). The aim of this system is to perform an analysis on the data collected via all the sources; report it directly, perform sentimental analysis of the posts and then classify the posts into three main categories i.e. Marketing, Customer attention and Sales and Promotion through supervised machine learning. The results obtained after the classification are represented and visualized on the advanced dashboard. The purpose of this system is to provide aid in the decision making of our client. The significance of this system is that it will cause an improvement for organizations in a state of competition, it would unleash new innovative ideas keeping in view the latest market trends which would cause prevention of releasing unnecessary or outdated products and a foresight of coming up with better and improved ideas for marketing.
{"title":"Competitor Analyzer: a system that updates users about business rival groups and their strategies","authors":"Nouman M. Durrani, Farhan Qasim Zaur, Uzair Alam, Qasim Usmani, Raiha Khan, Nadeem Kafi Khan","doi":"10.1109/ICEEST48626.2019.8981712","DOIUrl":"https://doi.org/10.1109/ICEEST48626.2019.8981712","url":null,"abstract":"Organizations are generating diverse data regarding their promotion. Finding the right product competitors and their promotions on different social platforms in a target region are difficult and time-consuming. Hence, a social media analysis and reporting system is required that can provide a business intelligence solution to keep an eye on your competing business organizations and give benefit from their marketing strategies in a proactive manner. The system enables us to find a potential list of competitors based on the product and collect their data from different social media websites (Facebook, Twitter, Google+). The aim of this system is to perform an analysis on the data collected via all the sources; report it directly, perform sentimental analysis of the posts and then classify the posts into three main categories i.e. Marketing, Customer attention and Sales and Promotion through supervised machine learning. The results obtained after the classification are represented and visualized on the advanced dashboard. The purpose of this system is to provide aid in the decision making of our client. The significance of this system is that it will cause an improvement for organizations in a state of competition, it would unleash new innovative ideas keeping in view the latest market trends which would cause prevention of releasing unnecessary or outdated products and a foresight of coming up with better and improved ideas for marketing.","PeriodicalId":201513,"journal":{"name":"2019 4th International Conference on Emerging Trends in Engineering, Sciences and Technology (ICEEST)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121598709","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 : 2019-12-01DOI: 10.1109/ICEEST48626.2019.8981688
Sarwar Wasi, Sarmad Shams, S. Nasim, Arham Shafiq
Innovation and creativity have played an important role in the development of every field of life, relatively less but it has created several problems too. Intrusion detection is one of those problems which became difficult with the advancement in computer networks, multiple researchers with multiple techniques have come forward to solve this crucial issue, but network security is still a challenge. In our research, we have come across an idea to detect intrusion using a deep learning algorithm in combination with statistical data analysis of KDD cup 99 datasets. Firstly, we have applied statistical analysis on the given data set to generate a simplified form of data, so that a less complex binary classification model of artificial neural network could apply for data classification. Our system has decreased the complexity of the system and has improved the response time.
创新和创造力在生活的各个领域的发展中发挥了重要作用，但相对较少，但它也产生了一些问题。入侵检测是随着计算机网络的发展而变得越来越困难的问题之一，许多研究人员用多种技术来解决这一关键问题，但网络安全仍然是一个挑战。在我们的研究中，我们遇到了一个使用深度学习算法结合KDD cup 99数据集的统计数据分析来检测入侵的想法。首先，我们对给定的数据集进行统计分析，生成数据的简化形式，从而使不太复杂的人工神经网络二元分类模型适用于数据分类。我们的系统降低了系统的复杂性，提高了响应时间。
{"title":"Intrusion Detection Using Deep Learning and Statistical Data Analysis","authors":"Sarwar Wasi, Sarmad Shams, S. Nasim, Arham Shafiq","doi":"10.1109/ICEEST48626.2019.8981688","DOIUrl":"https://doi.org/10.1109/ICEEST48626.2019.8981688","url":null,"abstract":"Innovation and creativity have played an important role in the development of every field of life, relatively less but it has created several problems too. Intrusion detection is one of those problems which became difficult with the advancement in computer networks, multiple researchers with multiple techniques have come forward to solve this crucial issue, but network security is still a challenge. In our research, we have come across an idea to detect intrusion using a deep learning algorithm in combination with statistical data analysis of KDD cup 99 datasets. Firstly, we have applied statistical analysis on the given data set to generate a simplified form of data, so that a less complex binary classification model of artificial neural network could apply for data classification. Our system has decreased the complexity of the system and has improved the response time.","PeriodicalId":201513,"journal":{"name":"2019 4th International Conference on Emerging Trends in Engineering, Sciences and Technology (ICEEST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130166437","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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