2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)最新文献

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Nonlinear Time-Frequency Analysis of Nonlinearly Coupled Electromagnetic Noise Sources 非线性耦合电磁噪声源的非线性时频分析
2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA) Pub Date : 2022-05-12 DOI: 10.1109/CSPA55076.2022.9781968
F. Ishiyama, M. Maruyama
{"title":"Nonlinear Time-Frequency Analysis of Nonlinearly Coupled Electromagnetic Noise Sources","authors":"F. Ishiyama, M. Maruyama","doi":"10.1109/CSPA55076.2022.9781968","DOIUrl":"https://doi.org/10.1109/CSPA55076.2022.9781968","url":null,"abstract":"We are investigating countermeasure techniques against electromagnetic noise on telecommunication-related equipment, and we have developed a method of nonlinear time-frequency analysis for the purpose. We are looking for a noise fingerprint signature, which is stable under nonlinearly coupled conditions with surrounding noise sources through power line. We considered such a case, and found that the time-frequency characteristics obtained with our method are fairly stable. Therefore, the characteristics represent a possible candidate for a noise fingerprint under such interdependent condition.","PeriodicalId":174315,"journal":{"name":"2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128335825","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}
引用次数: 1
Phase Margin Estimation of Linear Voltage Regulator Using Noninvasive Stability Measurement and Optimized Regression 基于无创稳定性测量和优化回归的线性稳压器相位裕度估计
2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA) Pub Date : 2022-05-12 DOI: 10.1109/CSPA55076.2022.9781916
Syukri Zamri, Mohd Hairi Mohd Zaman, Asraf Mohamed Moubark, Ahmad Asrul Ibrahim, Mohd Hafiz Baharuddin
{"title":"Phase Margin Estimation of Linear Voltage Regulator Using Noninvasive Stability Measurement and Optimized Regression","authors":"Syukri Zamri, Mohd Hairi Mohd Zaman, Asraf Mohamed Moubark, Ahmad Asrul Ibrahim, Mohd Hafiz Baharuddin","doi":"10.1109/CSPA55076.2022.9781916","DOIUrl":"https://doi.org/10.1109/CSPA55076.2022.9781916","url":null,"abstract":"Linear voltage regulator (LVR) instability due to sudden load current change can be compensated by connecting an output capacitor with specific equivalent series resistance (ESR) at its output terminal. In manufacturing, the optimum ESR range is characterized by the load transient tests for a range of load current and ESR values. Currently, the stability condition is determined by observing the output voltage oscillation counts. However, this process is less accurate and time-consuming. A more precise stability condition can be obtained by measuring the phase margin based on the frequency response. Yet, it needs to be conducted in an openloop condition, which is difficult for the LVR integrated circuit. Therefore, an approach is developed to noninvasively measure the phase margin in closed-loop conditions based on the LVR frequency response. Furthermore, five machine learning (ML) methods were proposed to solve the regression problem to estimate the phase margin for any operating points. Those ML methods are support vector machine, decision-tree, ensemble method, neural network, and Gaussian process regression. The inputs are load current and ESR, while the phase margin acts as the targets in the ML training. In addition, hyperparameters in each ML method are also optimized. Results showed that Gaussian process regression produces validation RMSE, MSE, MAE, and R2 of 0.1736, 0.0301, 0.0612, and 1.0000, respectively. The trained ML methods were then used to estimate the phase margin. To conclude, the phase margin in the LVR circuit can be effectively estimated without breaking the internal control loop.","PeriodicalId":174315,"journal":{"name":"2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130275594","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}
引用次数: 0
Raspberry Pi Based Driver Drowsiness Detection System Using Convolutional Neural Network (CNN) 基于树莓派的卷积神经网络(CNN)驾驶员困倦检测系统
2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA) Pub Date : 2022-05-12 DOI: 10.1109/CSPA55076.2022.9781879
Safie S. I, Rusmawarni Ramli, M. Azri, M. Aliff, Zulhaimi Mohammad
{"title":"Raspberry Pi Based Driver Drowsiness Detection System Using Convolutional Neural Network (CNN)","authors":"Safie S. I, Rusmawarni Ramli, M. Azri, M. Aliff, Zulhaimi Mohammad","doi":"10.1109/CSPA55076.2022.9781879","DOIUrl":"https://doi.org/10.1109/CSPA55076.2022.9781879","url":null,"abstract":"This paper presents the implementation of a drowsiness driving detection system using Raspberry Pi. Drowsy driving can be defined as a behavioral decline in driving skills. In this work, the Convolutional Neural Network (CNN) has been used to classify drowsiness symptoms such as blinking and yawning. A total of 1310 images were used to train the CNN architecture. A 4 -layer convolution filter has been added as a layer in this CNN architecture. Adam optimization algorithm was then used to train the CNN. A real time study on the effectiveness of this prototype was conducted on 10 individuals. This proposed system successfully demonstrates a classification accuracy rate between 80% and 98%. Other factors that can affect the rate of classification accuracy, such as camera distance from the driver and lighting factors, are also studied in this paper.","PeriodicalId":174315,"journal":{"name":"2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)","volume":"13 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120874869","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}
引用次数: 10
Industrial Controller Design for Dosing and Weighing Systems in the Process Industry –A Model-based Approach 过程工业中计量系统的工业控制器设计——基于模型的方法
2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA) Pub Date : 2022-05-12 DOI: 10.1109/CSPA55076.2022.9781918
Sairam Nandyala, Hareesh Konanki, Alexander Elbel, Benedikt Schmidt, Alfons Noe, Dominik Aufderheide
{"title":"Industrial Controller Design for Dosing and Weighing Systems in the Process Industry –A Model-based Approach","authors":"Sairam Nandyala, Hareesh Konanki, Alexander Elbel, Benedikt Schmidt, Alfons Noe, Dominik Aufderheide","doi":"10.1109/CSPA55076.2022.9781918","DOIUrl":"https://doi.org/10.1109/CSPA55076.2022.9781918","url":null,"abstract":"The design and implementation of industrial controllers for bulk material handling installations suffer from the necessity of excessive testing and validation. Especially under consideration of volatile material characteristics, it can be challenging to design a real-world validation and verification framework. This paper proposes a novel model-based approach for the evaluation of the controller performance. For this, a general mathematical and numerical model of a gravimetric bulk material dosing unit was developed and integrated within a simulation framework. Furthermore, a statistical model of the associated weight measurements is derived from real-world data acquired from a machine prototype. In order to consider varying bulk material properties for the validation of the controller design, an additional model for typical bulk materials is presented. It can be shown, that the model-based approach is able to outperform classical controller validation methods.","PeriodicalId":174315,"journal":{"name":"2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116207751","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}
引用次数: 1
Design and Development of a Small-Scale 5-DOF 3D Printed Robot Manipulator 小型五自由度3D打印机器人机械手的设计与开发
2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA) Pub Date : 2022-05-12 DOI: 10.1109/CSPA55076.2022.9781965
Sanjar Trubayev, E. Shehab, Md. Hazrat Ali
{"title":"Design and Development of a Small-Scale 5-DOF 3D Printed Robot Manipulator","authors":"Sanjar Trubayev, E. Shehab, Md. Hazrat Ali","doi":"10.1109/CSPA55076.2022.9781965","DOIUrl":"https://doi.org/10.1109/CSPA55076.2022.9781965","url":null,"abstract":"Additive manufacturing (AM) technologies became commercially available relatively recently but already found numerous applications in many industrial fields. The robotics industry is one of the fields that can potentially benefit from implementing 3D printing technologies. The combination of industrial robots and additive manufacturing technologies provides manufacturers with the ability to fabricate large and heavy products with high dimensional accuracy and automate this manufacturing process. The robotics industry lacks its own manufacturing facilities and has to outsource special orders to manufacturing companies. Outsourcing, however, implies additional expenses and time delays. Therefore, the relevance of integrating additive manufacturing into the robotics industry is the objective of research since it can considerably favor the development of this industry. The primary aim of this work is to develop and design 5 DOF 3D printed robotic manipulators. The developed model of the manipulator was tested via numerical simulations. The results clearly demonstrated the areas of stress concentration and the areas of the prototype that are subjected to the least stress. This set of results helped to perform topological optimization and improve the design and performance of the robotic manipulator. The optimized model was manufactured using the method of fused deposition modelling. The manipulator was assembled and actuated by six servo motors. The current progress of the research will be followed by the development of the control algorithm and performance evaluation to estimate the functionality of the manipulator. Distribution of the infill density throughout the assembly to reduce the material without losing the strength of the assembly is another important object of concern.","PeriodicalId":174315,"journal":{"name":"2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127278418","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}
引用次数: 0
Characteristics of the 11-Mercaptoundecanoic Acid (11-MUA) Binding to Gold Surface as Self-Assembled Monolayer (SAM) for SPR based Biosensor 11-巯基十四酸(11-MUA)与金表面自组装单层(SAM)结合的SPR生物传感器特性
2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA) Pub Date : 2022-05-12 DOI: 10.1109/CSPA55076.2022.9781966
Nur Syafiqah Rasanang, Sharifah Norsyahindah Syed Nor, S. Karman, W. S. W. K. Zaman, S. Harun, H. Arof
{"title":"Characteristics of the 11-Mercaptoundecanoic Acid (11-MUA) Binding to Gold Surface as Self-Assembled Monolayer (SAM) for SPR based Biosensor","authors":"Nur Syafiqah Rasanang, Sharifah Norsyahindah Syed Nor, S. Karman, W. S. W. K. Zaman, S. Harun, H. Arof","doi":"10.1109/CSPA55076.2022.9781966","DOIUrl":"https://doi.org/10.1109/CSPA55076.2022.9781966","url":null,"abstract":"Surface plasmon resonance (SPR) is an alternative approach that has piqued the researcher's interest as a highly sensitive and potentially promising technique for rapid and real-time virus diagnosis. For SPR biosensor development, efficient immobilization of biorecognition molecules onto the sensor surface is always essential. In SPR biosensor, gold (Au) is usually preferred to be used than silver (Ag) or other metals because it has good resistance to oxidation and corrosion in different environments. However, biomolecules adsorb poorly on gold which might limits the sensitivity of a conventional SPR biosensor. Therefore, an adhesive linker layer such as self-assembled monolayer (SAM), between the metal and ligands is required to functionalize the metal film and enhance the sensitivity of the SPR based sensor. The criteria that were taken into consideration for the formation of SAM layer was discussed and, the binding of a 11-MUA thiols onto an Au/BK7 prism will be experimentally demonstrate. The sample of 11-MUA/Au/BK7 sample was subjected to Raman spectroscopy for surface characterization. The present study confirms the binding of thiols SAM into gold surfaces which is important for the development of a highly performing biosensor.","PeriodicalId":174315,"journal":{"name":"2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130578949","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}
引用次数: 0
Classification of Coffee Variety using Electronic Nose 用电子鼻对咖啡品种进行分类
2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA) Pub Date : 2022-05-12 DOI: 10.1109/CSPA55076.2022.9782056
Jen Aldwayne B. Delmo, Mia V. Villarica, A. Vinluan
{"title":"Classification of Coffee Variety using Electronic Nose","authors":"Jen Aldwayne B. Delmo, Mia V. Villarica, A. Vinluan","doi":"10.1109/CSPA55076.2022.9782056","DOIUrl":"https://doi.org/10.1109/CSPA55076.2022.9782056","url":null,"abstract":"There are numerous studies arising from utilizing an electronic nose as an alternative way to the human nose in sensing an odor. In this study, an electronic nose will be employed in distinguishing the variety of coffee based on the four commercially produced coffee such as Arabica, Robusta, Excelsa, and Liberica. The sensors equipped in the electronic nose were from the MQ family such as MQ 2, MQ 7, MQ 135, and MQ 137, the four sensors also underwent the analysis of correlation to better justify its implementation to the electronic nose. The detection of the aroma coming from the four varieties of coffee was conducted through the designed process of collecting aroma and resulted in 192 gas data. The gas data were extracted based on sensed gas of the signal data sent by the four sensors to the Arduino. Using the Gaussian Naïve Bayes algorithm, the classification resulted in an accuracy rate of 100%. In conclusion, the results of this study have discovered that the electronic nose sensing technique could be used as an effective method to classify coffee variety.","PeriodicalId":174315,"journal":{"name":"2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131915877","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}
引用次数: 1
2019 Novel Coronavirus Disease (Covid-19): Toward a Novel Design for Nasopharyngeal and Oropharyngeal Swabbing Robot 2019新型冠状病毒病(Covid-19):鼻咽和口咽拭子机器人的新设计
2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA) Pub Date : 2022-05-12 DOI: 10.1109/CSPA55076.2022.9781939
M. N. Mohammed, Osama Y. M. Al-Rawi, Arif Sameh Arif, S. Al-Zubaidi, K. H. Yusof, Muhammad Amin Rusli, E. Yusuf, M. Abdulrazaq
{"title":"2019 Novel Coronavirus Disease (Covid-19): Toward a Novel Design for Nasopharyngeal and Oropharyngeal Swabbing Robot","authors":"M. N. Mohammed, Osama Y. M. Al-Rawi, Arif Sameh Arif, S. Al-Zubaidi, K. H. Yusof, Muhammad Amin Rusli, E. Yusuf, M. Abdulrazaq","doi":"10.1109/CSPA55076.2022.9781939","DOIUrl":"https://doi.org/10.1109/CSPA55076.2022.9781939","url":null,"abstract":"The world still suffers from the global pandemic of corona virus. The COVID 19 is a disease that majorly influence the patient’s respiratory system and degrade the performance of the immune system. The Polymerase Chain Reactions (PCRs) is commonly used method to assist the health care service in detection the viral disease. It permits identifying the defined chains of the virus genetic code in sputum samples. The front-line staffs are susceptible to infection by COVID 19 during direct swab test that unfortunately subjects them to a high level of risk. To remedy this problem, this paper introduces a flexible swabbing robot for oropharyngeal and nasopharyngeal. This robot is teleworked-based to perform swab sampling with consisting of a flexible manipulator, an integrated endoscope monitor, and the main device. The additional components incorporate a passive locating arm, an active end effector, and a detachable swab handles capable to sense forces. The achieved results revealed the capability of the proposed system in the detection COVID 19 of PCRs specimens based on little data acquired from the clinicians.","PeriodicalId":174315,"journal":{"name":"2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133837534","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}
引用次数: 0
A Comparative Study of an Artificial Intelligence-Based Vehicle Airbag Controller 基于人工智能的汽车安全气囊控制器的比较研究
2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA) Pub Date : 2022-05-12 DOI: 10.1109/CSPA55076.2022.9782038
A. H. Mutlag, Siraj Qays Mahdi, Omar Nameer Mohammed Salim
{"title":"A Comparative Study of an Artificial Intelligence-Based Vehicle Airbag Controller","authors":"A. H. Mutlag, Siraj Qays Mahdi, Omar Nameer Mohammed Salim","doi":"10.1109/CSPA55076.2022.9782038","DOIUrl":"https://doi.org/10.1109/CSPA55076.2022.9782038","url":null,"abstract":"In recent years, intelligent controllers have become widespread in several applications, including vehicle airbags. Airbags are crucial in vehicles, reducing the rate of deaths due to car collisions. Therefore, this paper aims to design a system to control the vehicle airbag using artificial intelligence (AI) techniques, particularly the adaptive neuro-fuzzy inference system (ANFIS). Firstly, the airbag control system was analyzed, and significant factors affecting the control system were extracted. Three controllers were developed: the ANFIS-based generalized-bell membership function (ANFIS-B), ANFIS-based triangular membership function (ANFIS-T), and ANFIS-based Gaussian membership function (ANFIS-G). All controllers used three membership functions in each input. The results showed that the mean absolute errors were found to be 0.0006309, 0.001435, and 0.006127 based on ANFIS-B, ANFIS-T, and ANFIS-G, respectively. The proposed ANFIS-B controller achieved satisfactory results and outperformed other controllers.","PeriodicalId":174315,"journal":{"name":"2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)","volume":"38 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133072486","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}
引用次数: 1
A Hovercraft Visual Simultaneous Localization and Mapping System Performance Evaluation for River Monitoring Application 用于河流监测的气垫船视觉同步定位与制图系统性能评价
2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA) Pub Date : 2022-05-12 DOI: 10.1109/CSPA55076.2022.9781936
Muhammad Naufal Zulkarnain Saiful Bahri, Mohd Faisal Ibrahim, A. B. Huddin
{"title":"A Hovercraft Visual Simultaneous Localization and Mapping System Performance Evaluation for River Monitoring Application","authors":"Muhammad Naufal Zulkarnain Saiful Bahri, Mohd Faisal Ibrahim, A. B. Huddin","doi":"10.1109/CSPA55076.2022.9781936","DOIUrl":"https://doi.org/10.1109/CSPA55076.2022.9781936","url":null,"abstract":"The dynamic geographical shape of a river provides a unique challenge in adopting an autonomous hovercraft-like robot for river monitoring. Specifically, performing the mapping and localization task in such an environment is non-trivial. Few factors need to be considered including the dynamic of the hovercraft and the severity of the surrounding environment. In this study, an investigation was carried out to evaluate the performance of a visual simultaneous localization and mapping (SLAM) technique in generating the environment model of a simulated river. The main objective of this study is to build a SLAM system of a hovercraft such that the robot can traverse the river surface autonomously. A depth camera was used as the visual sensor, and acts as the main odometry in the process of mapping and localization of the hovercraft. Data from the visual sensor was tuned and optimized to adapt to the river surface environment. The performance of the tuned SLAM was measured by comparing several configuration settings to get the best output. The result of this study shows that with proper tuning and optimization, a SLAM technique can be used to generate an accurate river surface map and monitor the hovercraft trajectories.","PeriodicalId":174315,"journal":{"name":"2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115940569","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}
引用次数: 0
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