Pub Date : 2020-10-20DOI: 10.1109/ICIEE49813.2020.9277441
Ri Munarto, Mochtar Ali Setyo Yudono, Endi Permata
Based on data from the World Health Organization in 2001 Indonesia is one of countries with the highest blindness rates in the world with the addition of new sufferers reaching 210,000 people per year. Of the 250 million population, there are only 1160 opthalmologist with uneven distribution. Cataract is one of disease such as macula degeneration, diabetes retinopatty. In this paper, classification of cataracts is divided into 4 normal retina, mild cataract, medium and severe. the classifier-making procedure includes four parts: pre-processing, segmentation, feature extraction, and classification. pre-processing using HSV to search for the highest level of light intensity, GLCM is used on feature extraction to obtain features that will be used to classify using Network Backpropagation that has great potential to improve the diagnostic efficiency diagnostic accuracy. In this research use image processing in detecting cataract characteristic in fundus image based on opacity level of optic disc. The data used were 60 retinal fundus images consisting of 15 normal retinal images, 15 light cataract images, 15 medium cataract images and 15 severe cataract images. The result of simulation test using MATLAB R2014a software obtained the normal retinal grade accuracy value of 95.71% with 95.7% sensitivity and 96.15% specificity, mild cataract 69.97% with sensitivity 69.97% and specificity 89.47%. Accuracy of medium cataract class is 75.69% with sensitivity 75.69% and specificity 92.75%. The accuracy of severe cataract class is 87.13% with sensitivity 87.13% and specificity 98.56%. The average accuracy value of the cataract classification system was 82.14%.
{"title":"Automatic Cataract Classification System Using Neural Network Algorithm Backpropagation","authors":"Ri Munarto, Mochtar Ali Setyo Yudono, Endi Permata","doi":"10.1109/ICIEE49813.2020.9277441","DOIUrl":"https://doi.org/10.1109/ICIEE49813.2020.9277441","url":null,"abstract":"Based on data from the World Health Organization in 2001 Indonesia is one of countries with the highest blindness rates in the world with the addition of new sufferers reaching 210,000 people per year. Of the 250 million population, there are only 1160 opthalmologist with uneven distribution. Cataract is one of disease such as macula degeneration, diabetes retinopatty. In this paper, classification of cataracts is divided into 4 normal retina, mild cataract, medium and severe. the classifier-making procedure includes four parts: pre-processing, segmentation, feature extraction, and classification. pre-processing using HSV to search for the highest level of light intensity, GLCM is used on feature extraction to obtain features that will be used to classify using Network Backpropagation that has great potential to improve the diagnostic efficiency diagnostic accuracy. In this research use image processing in detecting cataract characteristic in fundus image based on opacity level of optic disc. The data used were 60 retinal fundus images consisting of 15 normal retinal images, 15 light cataract images, 15 medium cataract images and 15 severe cataract images. The result of simulation test using MATLAB R2014a software obtained the normal retinal grade accuracy value of 95.71% with 95.7% sensitivity and 96.15% specificity, mild cataract 69.97% with sensitivity 69.97% and specificity 89.47%. Accuracy of medium cataract class is 75.69% with sensitivity 75.69% and specificity 92.75%. The accuracy of severe cataract class is 87.13% with sensitivity 87.13% and specificity 98.56%. The average accuracy value of the cataract classification system was 82.14%.","PeriodicalId":127106,"journal":{"name":"2020 2nd International Conference on Industrial Electrical and Electronics (ICIEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128488429","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 : 2020-10-20DOI: 10.1109/ICIEE49813.2020.9277274
Christine Widyastuti, A. Senen, Oktaria Handayani
Low growth of electricity load forecast eliminates cost opportunity of electricity sale due to unserviceable load demands. Meanwhile, if it is exorbitant, it will cause over-investment and incriminate investment cost. Existing method of sector load is simplified and easy to implement. However, the accuracy tends to bias over one area of which data is limited and dynamic service area. Besides, the results of its forecast is macro-based, which means it is unable to show load centers in micro grids and failed to locate the distribution station. Therefore, we need micro-spatial load forecasting. By using micro-spatial load forecast, the extrapolated areas are grouped into grids. Clustering analysis is used for grouping the grids. It generates similarity matrix of similar data group. Clustering involves factors causing load growth at each grid; geography, demography, socio- economic, and electricity load per sector. Results of every cluster consist of different regional characteristics, which later the load growth is projected as to obtain more accurate forecast.
{"title":"Micro-Spatial Electricity Load Forecasting Using Clustering Technique","authors":"Christine Widyastuti, A. Senen, Oktaria Handayani","doi":"10.1109/ICIEE49813.2020.9277274","DOIUrl":"https://doi.org/10.1109/ICIEE49813.2020.9277274","url":null,"abstract":"Low growth of electricity load forecast eliminates cost opportunity of electricity sale due to unserviceable load demands. Meanwhile, if it is exorbitant, it will cause over-investment and incriminate investment cost. Existing method of sector load is simplified and easy to implement. However, the accuracy tends to bias over one area of which data is limited and dynamic service area. Besides, the results of its forecast is macro-based, which means it is unable to show load centers in micro grids and failed to locate the distribution station. Therefore, we need micro-spatial load forecasting. By using micro-spatial load forecast, the extrapolated areas are grouped into grids. Clustering analysis is used for grouping the grids. It generates similarity matrix of similar data group. Clustering involves factors causing load growth at each grid; geography, demography, socio- economic, and electricity load per sector. Results of every cluster consist of different regional characteristics, which later the load growth is projected as to obtain more accurate forecast.","PeriodicalId":127106,"journal":{"name":"2020 2nd International Conference on Industrial Electrical and Electronics (ICIEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126024781","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 : 2020-10-20DOI: 10.1109/ICIEE49813.2020.9277029
M. Mansur, S. Manjang, A. Arief, Y. Akil
Currently, the utilization of renewable energy is increasing for remote islands around the world including in Indonesia. In this paper, feasibility study regarding renewable energy resources to develop a micro grid system for Tangkeno, in Kabaena Island, southeast Sulawesi is done. Observed energy resources in this study include solar energy, wind energy, and micro-hydro. The capacity of the system is calculated to meet local electricity load until the next 10 years(the year 2028) which is around 120.150 kVA. From data and measurement, the potential of renewable energy for electricity production in Tangkeno is relatively good which can fulfill load demand under the studied period. It is promising to use renewable energy sources for developing a micro grid system as an alternative to meet local electricity needs.
{"title":"Feasibility Study for Development of Micro Grid System in Rural Island","authors":"M. Mansur, S. Manjang, A. Arief, Y. Akil","doi":"10.1109/ICIEE49813.2020.9277029","DOIUrl":"https://doi.org/10.1109/ICIEE49813.2020.9277029","url":null,"abstract":"Currently, the utilization of renewable energy is increasing for remote islands around the world including in Indonesia. In this paper, feasibility study regarding renewable energy resources to develop a micro grid system for Tangkeno, in Kabaena Island, southeast Sulawesi is done. Observed energy resources in this study include solar energy, wind energy, and micro-hydro. The capacity of the system is calculated to meet local electricity load until the next 10 years(the year 2028) which is around 120.150 kVA. From data and measurement, the potential of renewable energy for electricity production in Tangkeno is relatively good which can fulfill load demand under the studied period. It is promising to use renewable energy sources for developing a micro grid system as an alternative to meet local electricity needs.","PeriodicalId":127106,"journal":{"name":"2020 2nd International Conference on Industrial Electrical and Electronics (ICIEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115505061","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 : 2020-10-20DOI: 10.1109/ICIEE49813.2020.9276862
H. B. Tambunan, A. P. Purnomoadi, Putu Agus Aditya Pramana, Brian Bramantyo SDA Harsono, A. S. Surya, Achmad Syerif Habibie
The number of photovoltaic (PV) installations is growing fast in recent years as triggered by the decreasing installation price and the government’s support. The use of PV technology is not only limited to ground mounted with utility scale but also PV rooftop for resident especially in urban areas. However, factors like near shadings could reduce the performance of this system by producing irradiance loss. Dense buildings like in many urban areas may trigger this kind of loss. This paper evaluates the performance of a PV rooftop system due to such shading with a case study 1.5 kWp installed in Jakarta, Indonesia. System simulation theoretically calculates the energy variation produced in a year. As a result, The energy loss is about 2.3% - 2.6% caused by near shadings at STC.
{"title":"Performance of Ground Mounted PV System Affected by Near Shadings Losses","authors":"H. B. Tambunan, A. P. Purnomoadi, Putu Agus Aditya Pramana, Brian Bramantyo SDA Harsono, A. S. Surya, Achmad Syerif Habibie","doi":"10.1109/ICIEE49813.2020.9276862","DOIUrl":"https://doi.org/10.1109/ICIEE49813.2020.9276862","url":null,"abstract":"The number of photovoltaic (PV) installations is growing fast in recent years as triggered by the decreasing installation price and the government’s support. The use of PV technology is not only limited to ground mounted with utility scale but also PV rooftop for resident especially in urban areas. However, factors like near shadings could reduce the performance of this system by producing irradiance loss. Dense buildings like in many urban areas may trigger this kind of loss. This paper evaluates the performance of a PV rooftop system due to such shading with a case study 1.5 kWp installed in Jakarta, Indonesia. System simulation theoretically calculates the energy variation produced in a year. As a result, The energy loss is about 2.3% - 2.6% caused by near shadings at STC.","PeriodicalId":127106,"journal":{"name":"2020 2nd International Conference on Industrial Electrical and Electronics (ICIEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128957227","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 : 2020-10-20DOI: 10.1109/ICIEE49813.2020.9276801
Tyas Kartika Sari, Dianing Novita Nurmala Putri, Fajardhani, S. Abduh, M. Widjaja, C. G. Irianto
Several problems occur in an old diesel power plant such as derating, low efficiency, high emission and noise decrease the performances of the systems. Besides, most of the old diesel power plants in Indonesia is still use High-Speed Diesel (HSD). In order to decide if the old diesel power plant is still feasible from the technical and economical point of view, a detailed analysis should be done. This paper proposes a model management tools to determine its techno-economic feasibility analysis from some factor such as cost, reliability, availability and economic life. This paper also propose the modeling calculation of Cost of Electricity (COE), Life Cycle Cost (LCC) and Equivalent Uniform Annual Cost (EUAC) methods to determine in techno-economic. A simple case study is discussed. The result recommends for asset retirement without abandonment for the old diesel power plant and replacement with the new Power Plant using a dual fuel engine (Gas Fuel and Marine Fuel Oil (MFO)). From the new power plant, it also can be estimated the replacement should be carried out in 14th year for the future. Finally, model management tools can be used to facilitate decision making in similar cases in the diesel power plant.
{"title":"Techno Economic Modeling for Replacement of Diesel Power Plant","authors":"Tyas Kartika Sari, Dianing Novita Nurmala Putri, Fajardhani, S. Abduh, M. Widjaja, C. G. Irianto","doi":"10.1109/ICIEE49813.2020.9276801","DOIUrl":"https://doi.org/10.1109/ICIEE49813.2020.9276801","url":null,"abstract":"Several problems occur in an old diesel power plant such as derating, low efficiency, high emission and noise decrease the performances of the systems. Besides, most of the old diesel power plants in Indonesia is still use High-Speed Diesel (HSD). In order to decide if the old diesel power plant is still feasible from the technical and economical point of view, a detailed analysis should be done. This paper proposes a model management tools to determine its techno-economic feasibility analysis from some factor such as cost, reliability, availability and economic life. This paper also propose the modeling calculation of Cost of Electricity (COE), Life Cycle Cost (LCC) and Equivalent Uniform Annual Cost (EUAC) methods to determine in techno-economic. A simple case study is discussed. The result recommends for asset retirement without abandonment for the old diesel power plant and replacement with the new Power Plant using a dual fuel engine (Gas Fuel and Marine Fuel Oil (MFO)). From the new power plant, it also can be estimated the replacement should be carried out in 14th year for the future. Finally, model management tools can be used to facilitate decision making in similar cases in the diesel power plant.","PeriodicalId":127106,"journal":{"name":"2020 2nd International Conference on Industrial Electrical and Electronics (ICIEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128826336","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 : 2020-10-20DOI: 10.1109/ICIEE49813.2020.9276891
Moh. Jauhari, Abdillah Fashiha Ilman, Lin Prasetyani, T. Dewi
Harmonics on the electrical system is a disturbance that causes the waveform of currents and or voltages are distorted. Mitigation of harmonics needed to reduce the negative impacts. Active power filter (APF) is one method to reduce harmonic waves, which injects the opposite waveform with harmonic wave. P-Q Theory is used to calculate the reference current to compensate harmonics. But, P-Q Theory has weakness if applied under non-ideal mains voltage. Phase Lock Loop (PLL) is used to normalization the non-ideal main voltage before calculate the reference current. Based on the results of simulation and analysis show the effectiveness of the control strategy being used.
{"title":"Control Strategy For Active Power Filter Based On P-Q Theory Under Non-Ideal Mains Voltages","authors":"Moh. Jauhari, Abdillah Fashiha Ilman, Lin Prasetyani, T. Dewi","doi":"10.1109/ICIEE49813.2020.9276891","DOIUrl":"https://doi.org/10.1109/ICIEE49813.2020.9276891","url":null,"abstract":"Harmonics on the electrical system is a disturbance that causes the waveform of currents and or voltages are distorted. Mitigation of harmonics needed to reduce the negative impacts. Active power filter (APF) is one method to reduce harmonic waves, which injects the opposite waveform with harmonic wave. P-Q Theory is used to calculate the reference current to compensate harmonics. But, P-Q Theory has weakness if applied under non-ideal mains voltage. Phase Lock Loop (PLL) is used to normalization the non-ideal main voltage before calculate the reference current. Based on the results of simulation and analysis show the effectiveness of the control strategy being used.","PeriodicalId":127106,"journal":{"name":"2020 2nd International Conference on Industrial Electrical and Electronics (ICIEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127321897","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 : 2020-10-20DOI: 10.1109/iciee49813.2020.9277271
H. Suyanto, M. Hafidz, G. Alvianingsih
The electrical energy produced by fossil fuel has two disadvantages: the environment pollution, and nonrenewable nature. To overcome these problems, Photovoltaic (PV) technology has been developed. But, the characteristics of the PV output power depending on the intensity of the existing sunlight, so it can cause instability in the system. This instability can be minimized by combining a PV system with a battery. This study aims to conduct transient stability analysis on the Baubau power system when a 10 MWac hybrid PV-battery power plant is added. In this study, the power flow and stability analysis of the Baubau system was simulated using ETAP software and the energy mix from power plants was simulated using Homer Pro software. From the simulation result can be concluded that installation of 10 MWac PV + 4 MWh batteries in the Baubau System did not harm the overall system stability. The hybrid system can increase the power capacity and installed power of the system.
{"title":"Transient Stability Analysis of a Hybrid Grid-Connected Battery-PV in Baubau Power System","authors":"H. Suyanto, M. Hafidz, G. Alvianingsih","doi":"10.1109/iciee49813.2020.9277271","DOIUrl":"https://doi.org/10.1109/iciee49813.2020.9277271","url":null,"abstract":"The electrical energy produced by fossil fuel has two disadvantages: the environment pollution, and nonrenewable nature. To overcome these problems, Photovoltaic (PV) technology has been developed. But, the characteristics of the PV output power depending on the intensity of the existing sunlight, so it can cause instability in the system. This instability can be minimized by combining a PV system with a battery. This study aims to conduct transient stability analysis on the Baubau power system when a 10 MWac hybrid PV-battery power plant is added. In this study, the power flow and stability analysis of the Baubau system was simulated using ETAP software and the energy mix from power plants was simulated using Homer Pro software. From the simulation result can be concluded that installation of 10 MWac PV + 4 MWh batteries in the Baubau System did not harm the overall system stability. The hybrid system can increase the power capacity and installed power of the system.","PeriodicalId":127106,"journal":{"name":"2020 2nd International Conference on Industrial Electrical and Electronics (ICIEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129540158","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 : 2020-10-20DOI: 10.1109/ICIEE49813.2020.9277466
V. A. Pratomo, Gunady Haryanto, Adhi Mahendra, Agung Saputra
One of the most important gases that make up the ozone layer is carbon monoxide (CO) and to clean CO, Hydroxyl (OH) gas is required, if the CO content in the air has exceeded the limit it will cause the depletion of the ozone layer, the function of the ozone layer is as a barrier to ultraviolet radiation, Ultraviolet with a wavelength between 200-800 nanometer (nm) known as UVC to the surface of the earth will cause health problems in humans such as respiratory disorders, damage to the elastic fibers of the skin, skin cancer and eye disorders. In this research an early warning device will be made which is equipped with information on UVC, CO and CO, where the CO gas and temperature as parameters cause the depletion of the ozone layer so that UVC rays are exposed to the surface of the earth, this measuring instrument will be placed in an open public area where people activity can protect from UVC rays, the accuracy of a measuring instrument is determined by the method in data processing, this tool will use the Fuzzy Logic Method to impose limits on the error of input data errors that are non-linear in nature, as for a limit of 0.025 for UVC rays, CO and temperature, the data will be processed using a microcontroller with a bit divider for UVC, CO and Temperature of 1023 bits so that the measurement value can be a decimal number, to give a warning to people in open areas will use green LEDs as a safe indication, yellow LEDs as an indication alert and red LEDs as dangerous indications y The sound is accompanied by a buzzer while for the measurement values of UVC, CO and temperature will be displayed on the liquid crystal display (LCD). On the results of measurements of UVC, CO radiation and Temperature carried out from 10:30-18:00 West Indonesian Time (WIB) for seven days, the level of UVC radiation at 10:30-13:30 WIB on average of 175.14 nm, measurement for CO is carried out periodically every 10 minutes with an average concentration of 24.16 ppm and for the highest temperature of 31.81°C at 11:30-13:40 WIB.
{"title":"Early warning and information on ultraviolet radiation (200-800 nm), Carbon monoxide gas and Temperature in open public areas using a microcontroller-based fuzzy logic method","authors":"V. A. Pratomo, Gunady Haryanto, Adhi Mahendra, Agung Saputra","doi":"10.1109/ICIEE49813.2020.9277466","DOIUrl":"https://doi.org/10.1109/ICIEE49813.2020.9277466","url":null,"abstract":"One of the most important gases that make up the ozone layer is carbon monoxide (CO) and to clean CO, Hydroxyl (OH) gas is required, if the CO content in the air has exceeded the limit it will cause the depletion of the ozone layer, the function of the ozone layer is as a barrier to ultraviolet radiation, Ultraviolet with a wavelength between 200-800 nanometer (nm) known as UVC to the surface of the earth will cause health problems in humans such as respiratory disorders, damage to the elastic fibers of the skin, skin cancer and eye disorders. In this research an early warning device will be made which is equipped with information on UVC, CO and CO, where the CO gas and temperature as parameters cause the depletion of the ozone layer so that UVC rays are exposed to the surface of the earth, this measuring instrument will be placed in an open public area where people activity can protect from UVC rays, the accuracy of a measuring instrument is determined by the method in data processing, this tool will use the Fuzzy Logic Method to impose limits on the error of input data errors that are non-linear in nature, as for a limit of 0.025 for UVC rays, CO and temperature, the data will be processed using a microcontroller with a bit divider for UVC, CO and Temperature of 1023 bits so that the measurement value can be a decimal number, to give a warning to people in open areas will use green LEDs as a safe indication, yellow LEDs as an indication alert and red LEDs as dangerous indications y The sound is accompanied by a buzzer while for the measurement values of UVC, CO and temperature will be displayed on the liquid crystal display (LCD). On the results of measurements of UVC, CO radiation and Temperature carried out from 10:30-18:00 West Indonesian Time (WIB) for seven days, the level of UVC radiation at 10:30-13:30 WIB on average of 175.14 nm, measurement for CO is carried out periodically every 10 minutes with an average concentration of 24.16 ppm and for the highest temperature of 31.81°C at 11:30-13:40 WIB.","PeriodicalId":127106,"journal":{"name":"2020 2nd International Conference on Industrial Electrical and Electronics (ICIEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133759631","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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