Pub Date : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9250952
Yun Nee Wee, A. Nor
Photovoltaic (PV) system is known as one of the most popular renewable energy types in generating electricity power. However, one of the drawbacks of PV system is that the performance of PV panel output is incompatible and affected due to changing climate condition. Hence, it is important to predict the optimal power output of PV system. This study will cover the implementation of PV system at the rooftop of Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia. Then, the optimal PV output power on the rooftop will be predicted using calculation method and Artificial Neural Network (ANN). The results have shown that ANN has the ability to predict the PV output close to the calculation method.
{"title":"Prediction of Rooftop Photovoltaic Power Generation Using Artificial Neural Network","authors":"Yun Nee Wee, A. Nor","doi":"10.1109/SCOReD50371.2020.9250952","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9250952","url":null,"abstract":"Photovoltaic (PV) system is known as one of the most popular renewable energy types in generating electricity power. However, one of the drawbacks of PV system is that the performance of PV panel output is incompatible and affected due to changing climate condition. Hence, it is important to predict the optimal power output of PV system. This study will cover the implementation of PV system at the rooftop of Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia. Then, the optimal PV output power on the rooftop will be predicted using calculation method and Artificial Neural Network (ANN). The results have shown that ANN has the ability to predict the PV output close to the calculation method.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125488736","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 : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9251018
D. Tran, R. Ibrahim
Recent trends in voicebot and chatbot application development have enabled utilization of speech-to-text (STT) and text-to-speech (TTS) generation techniques. In order to develop such TTS or STT engines, text and the corresponding recorded speech in an audio file used for training, validating and testing must be aligned. This is to ensure the developed engines achieve the desired conversion quality. In order to align speech and text, an audio alignment tool should be used. In such tools, often onset detection algorithms are utilized for labeling the audio file’s speech start and end times. This information is then stored together with the file’s transcript. In this work, an open nonzero onset Vietnamese speech dataset is provided. This dataset contains 348 audio files filtered from over 25,000 (approximately 30-hours) Vietnamese speech records released publicly by FPT Corporation, Vietnam in 2018. This amount of labeled data is considered to be more than sufficient for a typical onset detection algorithm researches.
{"title":"On the Identification of FOSD-based Non-zero Onset Speech Dataset","authors":"D. Tran, R. Ibrahim","doi":"10.1109/SCOReD50371.2020.9251018","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9251018","url":null,"abstract":"Recent trends in voicebot and chatbot application development have enabled utilization of speech-to-text (STT) and text-to-speech (TTS) generation techniques. In order to develop such TTS or STT engines, text and the corresponding recorded speech in an audio file used for training, validating and testing must be aligned. This is to ensure the developed engines achieve the desired conversion quality. In order to align speech and text, an audio alignment tool should be used. In such tools, often onset detection algorithms are utilized for labeling the audio file’s speech start and end times. This information is then stored together with the file’s transcript. In this work, an open nonzero onset Vietnamese speech dataset is provided. This dataset contains 348 audio files filtered from over 25,000 (approximately 30-hours) Vietnamese speech records released publicly by FPT Corporation, Vietnam in 2018. This amount of labeled data is considered to be more than sufficient for a typical onset detection algorithm researches.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125053394","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 : 2020-09-27DOI: 10.1109/scored50371.2020.9250945
{"title":"[SCOReD 2020 Blank Page]","authors":"","doi":"10.1109/scored50371.2020.9250945","DOIUrl":"https://doi.org/10.1109/scored50371.2020.9250945","url":null,"abstract":"","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120843016","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 : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9250973
Muhammad Muzakkir Mohd Nadzri, Afandi Ahmad, Z. Tukiran
Compressive sensing (CS) is as an evolving research area in signal processing due to the advantages offered for signal compression. Based on the sparsity of signals, CS allows the sampling of sparse signals under the sub-Nyquist rate, and yet promises a reliable data recovery. To date, the implementation of practical applications of CS in hardware platforms, especially in real-time applications, still faces challenging issues due to the high computational complexity of its algorithms, hence leading to high power-consuming processes. There are several CS reconstruction approaches, and orthogonal matching pursuit (OMP) is one of the best and popular algorithms implemented. However, this algorithm faces two (2) major process issues: optimisation and the least square problem. Due to OMP’s significant contribution, this paper presents an overview of the design issues and challenges of OMP algorithm implementation for CS reconstruction. The field-programmable gate array (FPGA) as a viable hardware solution for OMP implementation is reviewed and discussed based on reconstruction time, signal size, number of measurements, sparsity and features.
{"title":"Design Issues and Challenges of an FPGA-based Orthogonal Matching Pursuit Implementation for Compressive Sensing Reconstruction","authors":"Muhammad Muzakkir Mohd Nadzri, Afandi Ahmad, Z. Tukiran","doi":"10.1109/SCOReD50371.2020.9250973","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9250973","url":null,"abstract":"Compressive sensing (CS) is as an evolving research area in signal processing due to the advantages offered for signal compression. Based on the sparsity of signals, CS allows the sampling of sparse signals under the sub-Nyquist rate, and yet promises a reliable data recovery. To date, the implementation of practical applications of CS in hardware platforms, especially in real-time applications, still faces challenging issues due to the high computational complexity of its algorithms, hence leading to high power-consuming processes. There are several CS reconstruction approaches, and orthogonal matching pursuit (OMP) is one of the best and popular algorithms implemented. However, this algorithm faces two (2) major process issues: optimisation and the least square problem. Due to OMP’s significant contribution, this paper presents an overview of the design issues and challenges of OMP algorithm implementation for CS reconstruction. The field-programmable gate array (FPGA) as a viable hardware solution for OMP implementation is reviewed and discussed based on reconstruction time, signal size, number of measurements, sparsity and features.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116703491","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 : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9250944
Mostafa Ghane, Mei Choo Ane, R. A. Kadir, K. Ng
This article presented a research work to enhance one of the TRIZ tools: Trends of Engineering System Evolution (TESE) which is useful to assess the evolution direction of technical systems in 4th industrial revolution (4IR) for forecasting technological trends. TESE has hierarchical levels of multiple trends and sub-trends for forecasting the technological evolution and was well-established in product innovation but has no link to the data in patent information. Patent data is growing exponentially annually and is Big Data that can be mined and integrated with TESE. In this paper, a novel model using Big Data technologies was proposed to extract semistructured data in U.S. Patents Data where the basis of classification and sorting of patents were done based on the trends and sub-trends of TESE for product innovation. Initial experiments were conducted to demonstrate the potential efficacy of the novel model.
{"title":"Technology Forecasting Model Based on Trends of Engineering System Evolution (TESE) and Big Data for 4IR","authors":"Mostafa Ghane, Mei Choo Ane, R. A. Kadir, K. Ng","doi":"10.1109/SCOReD50371.2020.9250944","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9250944","url":null,"abstract":"This article presented a research work to enhance one of the TRIZ tools: Trends of Engineering System Evolution (TESE) which is useful to assess the evolution direction of technical systems in 4th industrial revolution (4IR) for forecasting technological trends. TESE has hierarchical levels of multiple trends and sub-trends for forecasting the technological evolution and was well-established in product innovation but has no link to the data in patent information. Patent data is growing exponentially annually and is Big Data that can be mined and integrated with TESE. In this paper, a novel model using Big Data technologies was proposed to extract semistructured data in U.S. Patents Data where the basis of classification and sorting of patents were done based on the trends and sub-trends of TESE for product innovation. Initial experiments were conducted to demonstrate the potential efficacy of the novel model.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117028562","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 : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9251017
N. Soundararajan, R. Karne, A. Wijesinha, Navid Ordouie, B. Rawal
Bare machines enable clients and servers to communicate without using an operating system or kernel. We describe the design and implementation of a novel UDP-based protocol for communication between a bare machine Web server and client using HTTP. The protocol is simple, easy to code, reliable and inherently secure. We include code snippets to illustrate unique features in our approach. Results from preliminary measurements are also given to demonstrate the potential performance improvement due to using UDP instead of TCP.
{"title":"A Novel Client/Server Protocol for Web-based Communication over UDP on a Bare Machine","authors":"N. Soundararajan, R. Karne, A. Wijesinha, Navid Ordouie, B. Rawal","doi":"10.1109/SCOReD50371.2020.9251017","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9251017","url":null,"abstract":"Bare machines enable clients and servers to communicate without using an operating system or kernel. We describe the design and implementation of a novel UDP-based protocol for communication between a bare machine Web server and client using HTTP. The protocol is simple, easy to code, reliable and inherently secure. We include code snippets to illustrate unique features in our approach. Results from preliminary measurements are also given to demonstrate the potential performance improvement due to using UDP instead of TCP.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114924591","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 : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9250980
Z. Bohari, M. Isa, P. Soh, A. Z. Abdullah, A. Ab Rahman, M. Nasir
Partial discharge (PD) is a phenomenon that consistently happens throughout the millennium in the power equipment. This phenomenon has an unpredictable and intermittent characteristic that hard to be detected easily. There are various available methods to detect this phenomenon, but each technique has its own flaws and drawback. This paper explored the early step to select, design, and simulate a PD UHF antenna for power transformer through CST MWS simulation. This task is crucial to choose the optimized substrate size and copper thickness for the PD antenna design. Based on the detailed analysis, it is substantially proven that there is an important relationship between substrate size towards antenna performance and characteristics to design an improved and efficient PD antenna.
{"title":"A Simulation Study of Performances for Different Substrates Sizes and Copper Thickness For PD Antenna Design","authors":"Z. Bohari, M. Isa, P. Soh, A. Z. Abdullah, A. Ab Rahman, M. Nasir","doi":"10.1109/SCOReD50371.2020.9250980","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9250980","url":null,"abstract":"Partial discharge (PD) is a phenomenon that consistently happens throughout the millennium in the power equipment. This phenomenon has an unpredictable and intermittent characteristic that hard to be detected easily. There are various available methods to detect this phenomenon, but each technique has its own flaws and drawback. This paper explored the early step to select, design, and simulate a PD UHF antenna for power transformer through CST MWS simulation. This task is crucial to choose the optimized substrate size and copper thickness for the PD antenna design. Based on the detailed analysis, it is substantially proven that there is an important relationship between substrate size towards antenna performance and characteristics to design an improved and efficient PD antenna.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114946438","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 : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9250959
A. Salem, R. Abd-Rahman, S. Al-Ameri, M. S. Kamarudin, N. Jamail, N. Hussin, Hidayat Zainuddin, D. Soomro, M. Mizad
Distribution of the contamination on insulators is often irregular, which threatens the reliability of outdoor insulation. This work aimed to study the influence of pollution distribution, humidity and dry band location with various scenarioes on flashover characteristic of insulators. Flashover tests of cup-pin glass polluted insulators were conducted. Findings indicated the difference between the flashover performances of insulators under different pollution distribution. The flashover characteristics like voltage and current are greatly affected by salt deposit density (SDD), distribution modes, and distribution area. The relation between U50 and SDD has positive power function with more contrast in distribution. Insulators with more regular distribution have lowest flashover voltage and highest critical leakage current. Different distribution modes lead to the change of the conductivity of the contamination layer and the uneven distribution of the current density, which is the main cause that the characteristics of pollution flashover are directly related to the pollution modes.
{"title":"Effect of Pollution Distribution Scenarioes on Flashover Characteristics on Outdoor Insulators","authors":"A. Salem, R. Abd-Rahman, S. Al-Ameri, M. S. Kamarudin, N. Jamail, N. Hussin, Hidayat Zainuddin, D. Soomro, M. Mizad","doi":"10.1109/SCOReD50371.2020.9250959","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9250959","url":null,"abstract":"Distribution of the contamination on insulators is often irregular, which threatens the reliability of outdoor insulation. This work aimed to study the influence of pollution distribution, humidity and dry band location with various scenarioes on flashover characteristic of insulators. Flashover tests of cup-pin glass polluted insulators were conducted. Findings indicated the difference between the flashover performances of insulators under different pollution distribution. The flashover characteristics like voltage and current are greatly affected by salt deposit density (SDD), distribution modes, and distribution area. The relation between U50 and SDD has positive power function with more contrast in distribution. Insulators with more regular distribution have lowest flashover voltage and highest critical leakage current. Different distribution modes lead to the change of the conductivity of the contamination layer and the uneven distribution of the current density, which is the main cause that the characteristics of pollution flashover are directly related to the pollution modes.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127258382","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 : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9251028
M. Jaafar, M. Othman, M. Yaacob, H. Haroon, M. A. Ilyas, A. Ayub
The formation of surface plasmons in a different type of noble metallic film was successfully simulated using MATLAB program software. The thicknesses of copper, silver and gold metal films were varied between 20 nm to 80 nm. The narrowness and depth of surface plasmon resonance (SPR) curves were observed to determine the excitation of surface plasmons. The simulation results indicate that the maximum excitation of surface plasmons can be achieved by using silver thin film with thicknesses of 50 nm at the minimum reflectivity of 0.0038 a.u and full width at half maximum value of 0.2592°. The silver film that produces a deeper and sharper SPR curve has potential in the development of a low cost and high sensitivity of SPR sensing device.
{"title":"Excitation of Surface Plasmons in Thin Noble Metallic Film of Copper, Silver and Gold Paper","authors":"M. Jaafar, M. Othman, M. Yaacob, H. Haroon, M. A. Ilyas, A. Ayub","doi":"10.1109/SCOReD50371.2020.9251028","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9251028","url":null,"abstract":"The formation of surface plasmons in a different type of noble metallic film was successfully simulated using MATLAB program software. The thicknesses of copper, silver and gold metal films were varied between 20 nm to 80 nm. The narrowness and depth of surface plasmon resonance (SPR) curves were observed to determine the excitation of surface plasmons. The simulation results indicate that the maximum excitation of surface plasmons can be achieved by using silver thin film with thicknesses of 50 nm at the minimum reflectivity of 0.0038 a.u and full width at half maximum value of 0.2592°. The silver film that produces a deeper and sharper SPR curve has potential in the development of a low cost and high sensitivity of SPR sensing device.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121450099","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 : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9250963
Shuangela Joy Sebastian, Wan Abd Rashid, H. J. Lee, M. Z. Jamaludin, P. Ker, M. Gamel
Thermophotovoltaic (TPV) system harvests heat from thermal radiation where the photons are absorbed by a photovoltaic (PV) cell device and generates electrical energy. InGaAs is one of the popular III-V semiconductors material and has a great potential to be an efficient TPV cell if further optimization and improvements are made. In this paper, In0.68 Ga0.32 As with bandgap energy of 0.6 eV and cut-off wavelength at 2.1 $mu mathrm{m}$ is modeled and optimized using TCAD simulation software. InAsP buffer layers were incorporated to reduce 1.1% lattice-matched effect between the device layer and lnP substrate. The cell’s base and emitter layers were optimized by varying the thickness and the doping concentration of the cell layer individually under 1400 K blackbody spectrum. The optimization of emitter thickness and base doping concentration significantly contribute to a higher cell performance. An emitter thickness of 0.06 $mu mathrm{m}$ contributes to an efficiency ($eta$) of 25.55% while a base doping concentration of 1 × 1016 cm−3 recorded 23.08% of $eta$.
{"title":"Simulation and optimization of Lattice Mismatched InGaAs Thermophotovoltaic Cell","authors":"Shuangela Joy Sebastian, Wan Abd Rashid, H. J. Lee, M. Z. Jamaludin, P. Ker, M. Gamel","doi":"10.1109/SCOReD50371.2020.9250963","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9250963","url":null,"abstract":"Thermophotovoltaic (TPV) system harvests heat from thermal radiation where the photons are absorbed by a photovoltaic (PV) cell device and generates electrical energy. InGaAs is one of the popular III-V semiconductors material and has a great potential to be an efficient TPV cell if further optimization and improvements are made. In this paper, In0.68 Ga0.32 As with bandgap energy of 0.6 eV and cut-off wavelength at 2.1 $mu mathrm{m}$ is modeled and optimized using TCAD simulation software. InAsP buffer layers were incorporated to reduce 1.1% lattice-matched effect between the device layer and lnP substrate. The cell’s base and emitter layers were optimized by varying the thickness and the doping concentration of the cell layer individually under 1400 K blackbody spectrum. The optimization of emitter thickness and base doping concentration significantly contribute to a higher cell performance. An emitter thickness of 0.06 $mu mathrm{m}$ contributes to an efficiency ($eta$) of 25.55% while a base doping concentration of 1 × 1016 cm−3 recorded 23.08% of $eta$.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130436884","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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