Pub Date : 2021-12-19DOI: 10.1109/ICM52667.2021.9664932
Yasmin M. Massoud, L. Kuhlmann, M. A. E. Ghany
Epilepsy is a neurological disorder in which abnormal brain activity occurs, causing seizures. Recent studies have used machine learning techniques to produce a seizure classification system. In this work, two aspects of seizure classification are discussed and compared in terms of accuracy and efficacy. Seizure classification can follow a patient specific or general approach. For a patient specific approach, feature extraction and classification are performed for each patient independently. However, a general approach means data is trained and classified for all patients at once. Results show that AUC of general approach is 0.74 which is higher than that of patient-specific 0.71. Computational time is decreased when using patient-specific approach to 8 hours, while general approach requires 10 hours for training and prediction.
{"title":"Comparison of Patient Specific and General Classification of Epileptic Seizure Prediction","authors":"Yasmin M. Massoud, L. Kuhlmann, M. A. E. Ghany","doi":"10.1109/ICM52667.2021.9664932","DOIUrl":"https://doi.org/10.1109/ICM52667.2021.9664932","url":null,"abstract":"Epilepsy is a neurological disorder in which abnormal brain activity occurs, causing seizures. Recent studies have used machine learning techniques to produce a seizure classification system. In this work, two aspects of seizure classification are discussed and compared in terms of accuracy and efficacy. Seizure classification can follow a patient specific or general approach. For a patient specific approach, feature extraction and classification are performed for each patient independently. However, a general approach means data is trained and classified for all patients at once. Results show that AUC of general approach is 0.74 which is higher than that of patient-specific 0.71. Computational time is decreased when using patient-specific approach to 8 hours, while general approach requires 10 hours for training and prediction.","PeriodicalId":212613,"journal":{"name":"2021 International Conference on Microelectronics (ICM)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126666030","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 : 2021-12-19DOI: 10.1109/ICM52667.2021.9664895
Wael Bou Diab, Reem Abou Hamdan, Ali Koubayssi, Mohammad Arnaout, Rabih Rammal
the paper offers a comprehensive study on integrating electric vehicles into the smart grid. Electric vehicles' environmental impacts are briefly discussed. The relationship between the smart grid and the electric vehicles denoted under the vehicle-to-grid, and grid-to-vehicle scenarios are expressed. The integration of electric vehicles into the smart grid poses difficulties in terms of planning, operating, and controlling the grid, so these challenges are supported by applications for a progressive integration, in addition to a literature review about an investigation on incorporating renewable energy resources in this integration. Also, a new patent called the SOC-OCV estimation method is expressed with the full steps of calculations. Further, an electric vehicle model is constructed to mimic the performance of a real electric vehicle is donated with its blocks assisted with the SOC-OCV estimation method.
{"title":"Integration of Electric Vehicles in Smart Grids","authors":"Wael Bou Diab, Reem Abou Hamdan, Ali Koubayssi, Mohammad Arnaout, Rabih Rammal","doi":"10.1109/ICM52667.2021.9664895","DOIUrl":"https://doi.org/10.1109/ICM52667.2021.9664895","url":null,"abstract":"the paper offers a comprehensive study on integrating electric vehicles into the smart grid. Electric vehicles' environmental impacts are briefly discussed. The relationship between the smart grid and the electric vehicles denoted under the vehicle-to-grid, and grid-to-vehicle scenarios are expressed. The integration of electric vehicles into the smart grid poses difficulties in terms of planning, operating, and controlling the grid, so these challenges are supported by applications for a progressive integration, in addition to a literature review about an investigation on incorporating renewable energy resources in this integration. Also, a new patent called the SOC-OCV estimation method is expressed with the full steps of calculations. Further, an electric vehicle model is constructed to mimic the performance of a real electric vehicle is donated with its blocks assisted with the SOC-OCV estimation method.","PeriodicalId":212613,"journal":{"name":"2021 International Conference on Microelectronics (ICM)","volume":"62 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129166910","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 : 2021-12-19DOI: 10.1109/ICM52667.2021.9664917
M. Arnaout, H. Ismail, Hassan Jaber, Ali Koubayssi, Rabih Rammal, Ziad Noun
Renewable energies have experienced significant growth in recent years, and it becomes a more critical type of energy in developed and developing countries in order to produce electricity. In this paper, an overview of the design and calculations of 100 MW PV farm and 68 MW wind farm integrated to the Lebanese national grid at Baalback and Akkar districts respectively will be presented and discussed including technical aspects of the models. The study was simulated and analyzed using ETAP power analysis software one of the leading Power analysis software’s in the market.
{"title":"Study and Review on the Renewable Energy Potential in Lebanon","authors":"M. Arnaout, H. Ismail, Hassan Jaber, Ali Koubayssi, Rabih Rammal, Ziad Noun","doi":"10.1109/ICM52667.2021.9664917","DOIUrl":"https://doi.org/10.1109/ICM52667.2021.9664917","url":null,"abstract":"Renewable energies have experienced significant growth in recent years, and it becomes a more critical type of energy in developed and developing countries in order to produce electricity. In this paper, an overview of the design and calculations of 100 MW PV farm and 68 MW wind farm integrated to the Lebanese national grid at Baalback and Akkar districts respectively will be presented and discussed including technical aspects of the models. The study was simulated and analyzed using ETAP power analysis software one of the leading Power analysis software’s in the market.","PeriodicalId":212613,"journal":{"name":"2021 International Conference on Microelectronics (ICM)","volume":"289 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128208714","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 : 2021-12-19DOI: 10.1109/ICM52667.2021.9664942
Samy Sharf, Rafaat Abd Elhamied, Madonna K. Habib, A. Madian
This paper proposes a reliable and efficient OTA firmware updating architecture, which utilizes LoRa technology for remotely distributing new firmware updates for agricultural IoT applications. The architecture is composed of ubiquitously connected hardware and software systems for completing the OTA firmware updating procedure. The software system is a developed desktop application that enables Ag-IoT operators to distribute firmware remotely. The hardware system is a firmware uploader circuit that receives firmware from the software system and programs the target device. The contribution of this paper is to integrate LoRa technology for OTA firmware distribution in low-power wide area networks of Agricultural IoT. This architecture solves the problem of distributing firmware updates in low-power wide-area networks. Since remote smart farms depend on low-power technologies for controlling and monitoring. A simulation is conducted using a desktop application for sending the firmware to the remote uploader circuit. Experimental work is carried on Microchip AVR ATmega8L low-power microcontroller board, and the studied results showed a technical match to the carried-on simulation.
{"title":"An Efficient OTA firmware updating Architecture based on LoRa suitable for agricultural IoT Applications","authors":"Samy Sharf, Rafaat Abd Elhamied, Madonna K. Habib, A. Madian","doi":"10.1109/ICM52667.2021.9664942","DOIUrl":"https://doi.org/10.1109/ICM52667.2021.9664942","url":null,"abstract":"This paper proposes a reliable and efficient OTA firmware updating architecture, which utilizes LoRa technology for remotely distributing new firmware updates for agricultural IoT applications. The architecture is composed of ubiquitously connected hardware and software systems for completing the OTA firmware updating procedure. The software system is a developed desktop application that enables Ag-IoT operators to distribute firmware remotely. The hardware system is a firmware uploader circuit that receives firmware from the software system and programs the target device. The contribution of this paper is to integrate LoRa technology for OTA firmware distribution in low-power wide area networks of Agricultural IoT. This architecture solves the problem of distributing firmware updates in low-power wide-area networks. Since remote smart farms depend on low-power technologies for controlling and monitoring. A simulation is conducted using a desktop application for sending the firmware to the remote uploader circuit. Experimental work is carried on Microchip AVR ATmega8L low-power microcontroller board, and the studied results showed a technical match to the carried-on simulation.","PeriodicalId":212613,"journal":{"name":"2021 International Conference on Microelectronics (ICM)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131526124","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 : 2021-12-19DOI: 10.1109/ICM52667.2021.9664937
Andrew Amgad, A. M. Abdelaty, M. M. Elbarawy, H. A. Attia, A. Radwan
This paper introduces a novel magnitude approximation for the fractional-order Chebyshev low-pass filter. The proposed magnitude response is constructed from the fractional Chebyshev polynomials originating from the series solution of fractional-order Chebyshev differential equation. The transfer function of the fractional-order Sallen-Key biquad is used as a prototype for the approximation. To identify the coefficients of the Sallen-Key topology, the flower pollination algorithm (FPA) is used to minimize an objective function representing the sum of relative magnitude error. The optimization problem is executed in MATLAB, and stable solutions are chosen for the implementation. Two different cases are investigated corresponding to filter orders 1.8 and 2.7. LT-Spice is used for circuit simulations, and the Valsa approach is used for fractional-order capacitor approximation. The original magnitude response is compared with the optimized one and the circuit simulation results, and this comparison shows a magnitude error less than 2%.
{"title":"Design of a Low-pass Filter from Fractional Chebyshev Polynomials","authors":"Andrew Amgad, A. M. Abdelaty, M. M. Elbarawy, H. A. Attia, A. Radwan","doi":"10.1109/ICM52667.2021.9664937","DOIUrl":"https://doi.org/10.1109/ICM52667.2021.9664937","url":null,"abstract":"This paper introduces a novel magnitude approximation for the fractional-order Chebyshev low-pass filter. The proposed magnitude response is constructed from the fractional Chebyshev polynomials originating from the series solution of fractional-order Chebyshev differential equation. The transfer function of the fractional-order Sallen-Key biquad is used as a prototype for the approximation. To identify the coefficients of the Sallen-Key topology, the flower pollination algorithm (FPA) is used to minimize an objective function representing the sum of relative magnitude error. The optimization problem is executed in MATLAB, and stable solutions are chosen for the implementation. Two different cases are investigated corresponding to filter orders 1.8 and 2.7. LT-Spice is used for circuit simulations, and the Valsa approach is used for fractional-order capacitor approximation. The original magnitude response is compared with the optimized one and the circuit simulation results, and this comparison shows a magnitude error less than 2%.","PeriodicalId":212613,"journal":{"name":"2021 International Conference on Microelectronics (ICM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128718072","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 : 2021-12-19DOI: 10.1109/ICM52667.2021.9664941
K. Bhardwaj, Anand Kumar, M. Srivastava, Abdullah G. Alharbi
The memristor emulation using Operational Transconductance Amplifiers (OTAs) has been quite popular in the last decade. Interestingly, a detailed literature survey reveals that only voltage-biased OTAs have been used so far, for the memristor emulators, which may be due to the ease of memductance realization (through just bias voltage application by employing a capacitance). But this technique has disadvantages like; mostly commercially available OTAs are current biased, voltage biasing does not provide a better range for tunability, current biasing is more stable and can be easily provided through current mirrors in large circuits. Therefore, the presented work proposes a floating memristor emulator fully based upon the current biased OTAs and upon the proper selection of parameters, it can realize a flux-controlled memductance function. The developed floating emulator uses three single output OTAs and just single grounded capacitance. The paper also describes an application example of the proposed emulator in a neuromorphic circuit to exhibit associative learning response. To verify the designed circuits, the simulations have been executed, and the results are presented. Lastly, the realization of the proposed memristor emulator using the current mode commercial IC-LM13700 is also shown and results are discussed.
{"title":"Floating Memristor Emulator Using Current Biased OTAs and Single Grounded Capacitance","authors":"K. Bhardwaj, Anand Kumar, M. Srivastava, Abdullah G. Alharbi","doi":"10.1109/ICM52667.2021.9664941","DOIUrl":"https://doi.org/10.1109/ICM52667.2021.9664941","url":null,"abstract":"The memristor emulation using Operational Transconductance Amplifiers (OTAs) has been quite popular in the last decade. Interestingly, a detailed literature survey reveals that only voltage-biased OTAs have been used so far, for the memristor emulators, which may be due to the ease of memductance realization (through just bias voltage application by employing a capacitance). But this technique has disadvantages like; mostly commercially available OTAs are current biased, voltage biasing does not provide a better range for tunability, current biasing is more stable and can be easily provided through current mirrors in large circuits. Therefore, the presented work proposes a floating memristor emulator fully based upon the current biased OTAs and upon the proper selection of parameters, it can realize a flux-controlled memductance function. The developed floating emulator uses three single output OTAs and just single grounded capacitance. The paper also describes an application example of the proposed emulator in a neuromorphic circuit to exhibit associative learning response. To verify the designed circuits, the simulations have been executed, and the results are presented. Lastly, the realization of the proposed memristor emulator using the current mode commercial IC-LM13700 is also shown and results are discussed.","PeriodicalId":212613,"journal":{"name":"2021 International Conference on Microelectronics (ICM)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133953784","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 : 2021-12-19DOI: 10.1109/ICM52667.2021.9664916
Marcelo S Almeida, T. P. Mussolini, T. Pimenta
Electromagnetic interferences found in the hospital environment can alter and/or mask the signals acquired from the skull surface, which are in the range of 10 μV to 100 μV. In order to minimize the interferences, the amplification and signal treatment can be conducted by a circuit placed directly over the electrodes. Besides the traditional electroencephalograms – EEG, our circuit allows the implementation of ultra-dense EEG networks. This article presents the development of a serial bidirectional communication protocol, and its implementation/validation in FPGA.
{"title":"A Serial Communication Protocol for Ultra Dense EEG Networks with Active Electrodes","authors":"Marcelo S Almeida, T. P. Mussolini, T. Pimenta","doi":"10.1109/ICM52667.2021.9664916","DOIUrl":"https://doi.org/10.1109/ICM52667.2021.9664916","url":null,"abstract":"Electromagnetic interferences found in the hospital environment can alter and/or mask the signals acquired from the skull surface, which are in the range of 10 μV to 100 μV. In order to minimize the interferences, the amplification and signal treatment can be conducted by a circuit placed directly over the electrodes. Besides the traditional electroencephalograms – EEG, our circuit allows the implementation of ultra-dense EEG networks. This article presents the development of a serial bidirectional communication protocol, and its implementation/validation in FPGA.","PeriodicalId":212613,"journal":{"name":"2021 International Conference on Microelectronics (ICM)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134371357","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 : 2021-12-19DOI: 10.1109/ICM52667.2021.9664930
M. A. E. Ghany, Khaled A. Ismail
Accurate Machine Learning ML models used for speeding up coverage closure are presented in this paper. Different ML models: Artificial Neural Network ANN, Deep Neural Network DNN, Support Vector Regression SVR and Decision Trees DT are trained to constrain the randomization of a Coordinate Rotation Digital Computer CORDIC design input values to hit the planned coverage items. Used ML models are compared in terms of evaluation metrics such as: Mean Squared Error MSE and R2 score. Training time overhead for each model is also considered. Tested ML models demonstrate an improvement of 55% in the number of transactions required to reach complete coverage closure when compared to traditional open-loop randomization method. Comparative analysis shows that DT is the most effective ML model to be incorporated in a CORDIC functional verification environment, due to its low training time overhead and high prediction accuracy.
{"title":"Speed Up Functional Coverage Closure of CORDIC Designs Using Machine Learning Models","authors":"M. A. E. Ghany, Khaled A. Ismail","doi":"10.1109/ICM52667.2021.9664930","DOIUrl":"https://doi.org/10.1109/ICM52667.2021.9664930","url":null,"abstract":"Accurate Machine Learning ML models used for speeding up coverage closure are presented in this paper. Different ML models: Artificial Neural Network ANN, Deep Neural Network DNN, Support Vector Regression SVR and Decision Trees DT are trained to constrain the randomization of a Coordinate Rotation Digital Computer CORDIC design input values to hit the planned coverage items. Used ML models are compared in terms of evaluation metrics such as: Mean Squared Error MSE and R2 score. Training time overhead for each model is also considered. Tested ML models demonstrate an improvement of 55% in the number of transactions required to reach complete coverage closure when compared to traditional open-loop randomization method. Comparative analysis shows that DT is the most effective ML model to be incorporated in a CORDIC functional verification environment, due to its low training time overhead and high prediction accuracy.","PeriodicalId":212613,"journal":{"name":"2021 International Conference on Microelectronics (ICM)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115356517","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 : 2021-12-19DOI: 10.1109/ICM52667.2021.9664908
Fadi Rayya, N. Karami
Photovoltaic (PV) plants require an important energy storage system, due for their potential benefit of no memory impact, high vitality thickness, moderately long lifetime, lithium battery have gotten one of the most well-known and usable battery-powered batteries. These types of batteries need an important management system for charging to avoid explosion of battery in case of overcharge. In this paper, a brief review of the most important strategies of charging will be discussed, with a proposed strategy of charging will be designed in MATLAB and presented with a new result.
{"title":"A Smart Lithium Battery Management System for Photovoltaic Plants (Review and Strategy design)","authors":"Fadi Rayya, N. Karami","doi":"10.1109/ICM52667.2021.9664908","DOIUrl":"https://doi.org/10.1109/ICM52667.2021.9664908","url":null,"abstract":"Photovoltaic (PV) plants require an important energy storage system, due for their potential benefit of no memory impact, high vitality thickness, moderately long lifetime, lithium battery have gotten one of the most well-known and usable battery-powered batteries. These types of batteries need an important management system for charging to avoid explosion of battery in case of overcharge. In this paper, a brief review of the most important strategies of charging will be discussed, with a proposed strategy of charging will be designed in MATLAB and presented with a new result.","PeriodicalId":212613,"journal":{"name":"2021 International Conference on Microelectronics (ICM)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121235269","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 : 2021-12-19DOI: 10.1109/ICM52667.2021.9664910
Alaa Zetawi, Osama Abdulhadi, F. Shahroury, Hani H. Ahmad, A. Akour
Solar PV and Energy storage systems are being adapted worldwide, recognized as an environmentally friendly, clean, and resilient solution compared to traditional energy sources such as Fossil-Fuel. However, with the increase of installation on rooftop, risk of potential fire and safety threats, in which fire-fighters and emergency response teams are unable to respond due to risk of shock hazard. Therefore, NEC 2017 introduced Section 690.12, "Rapid Shutdown for PV Systems on Buildings", requires inside the array boundary solar panels to be de-energized to 30 volts or less of initiation of a rapid shutdown event. This paper will be covering the specification objectives, test protocols, approved manufacturers, and previous attempts.
{"title":"Components and Specification of Rapid Shutdown for Roof PV Systems","authors":"Alaa Zetawi, Osama Abdulhadi, F. Shahroury, Hani H. Ahmad, A. Akour","doi":"10.1109/ICM52667.2021.9664910","DOIUrl":"https://doi.org/10.1109/ICM52667.2021.9664910","url":null,"abstract":"Solar PV and Energy storage systems are being adapted worldwide, recognized as an environmentally friendly, clean, and resilient solution compared to traditional energy sources such as Fossil-Fuel. However, with the increase of installation on rooftop, risk of potential fire and safety threats, in which fire-fighters and emergency response teams are unable to respond due to risk of shock hazard. Therefore, NEC 2017 introduced Section 690.12, \"Rapid Shutdown for PV Systems on Buildings\", requires inside the array boundary solar panels to be de-energized to 30 volts or less of initiation of a rapid shutdown event. This paper will be covering the specification objectives, test protocols, approved manufacturers, and previous attempts.","PeriodicalId":212613,"journal":{"name":"2021 International Conference on Microelectronics (ICM)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122472100","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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