Industrial software testing is the key part before the release of industrial software. The software test engineers without industrial knowledge and manufacturing experience cannot test for its unique functional performance requirements and industry characteristics. Therefore, the industrial software testing knowledgeis studied basedon ontologyinthis paper. The knowledge of industrial software testing domain is represented by the ontology whichis constructed by the improved seven-step method. Andthe graphdatabase is usedto store knowledge. The management of industrial software testing knowledge is standardized by the Industrial Software Testing Knowledge Base, which is helpful to improve the quality and efficiency of industrial software test.
{"title":"Research on Industrial Software Testing Knowledge Database Based on Ontology","authors":"P. Chen, An Xi","doi":"10.1109/DSA.2019.00066","DOIUrl":"https://doi.org/10.1109/DSA.2019.00066","url":null,"abstract":"Industrial software testing is the key part before the release of industrial software. The software test engineers without industrial knowledge and manufacturing experience cannot test for its unique functional performance requirements and industry characteristics. Therefore, the industrial software testing knowledgeis studied basedon ontologyinthis paper. The knowledge of industrial software testing domain is represented by the ontology whichis constructed by the improved seven-step method. Andthe graphdatabase is usedto store knowledge. The management of industrial software testing knowledge is standardized by the Industrial Software Testing Knowledge Base, which is helpful to improve the quality and efficiency of industrial software test.","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115115593","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}
This paper based on the time domain serial acquisition principle, a multi-channel step correlation acquisition algorithm is designed and implemented by FPGA. According to the principle of modular design, the whole acquisition system is divided into local carrier NCO module, local code NCO module, and operation unit module. Their functions are to generate local in-phase and quadrature carriers, generate local pseudo code, and down-conversion of intermediate frequency signal, then carry out related cumulative calculation, and fmally rerunning threshold judgment. Every module is implemented in Quartus, and the function simulation is achieved in Modelsim, Through the simulation of the real time Beidou satellite digital IF signal in the whole acquisition module, and compared with the Matlab simulation results based on FFT parallel code phase acquisition, The results show that the algorithm can correctly and effectively capture the Beidou satellite signals it can improve the acquisition efficiency and reduce the utilization ratio of resources.
{"title":"FPGA Implementation of Stepping Correlation Acquisition Algorithm for Beidou II B1 Signal","authors":"Zhiming Hu, Bo Zhang, Jinjian Lu","doi":"10.1109/DSA.2019.00049","DOIUrl":"https://doi.org/10.1109/DSA.2019.00049","url":null,"abstract":"This paper based on the time domain serial acquisition principle, a multi-channel step correlation acquisition algorithm is designed and implemented by FPGA. According to the principle of modular design, the whole acquisition system is divided into local carrier NCO module, local code NCO module, and operation unit module. Their functions are to generate local in-phase and quadrature carriers, generate local pseudo code, and down-conversion of intermediate frequency signal, then carry out related cumulative calculation, and fmally rerunning threshold judgment. Every module is implemented in Quartus, and the function simulation is achieved in Modelsim, Through the simulation of the real time Beidou satellite digital IF signal in the whole acquisition module, and compared with the Matlab simulation results based on FFT parallel code phase acquisition, The results show that the algorithm can correctly and effectively capture the Beidou satellite signals it can improve the acquisition efficiency and reduce the utilization ratio of resources.","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125049460","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}
In cognitive radio or military communications systems, the receiver usually needs to blindly identify which LDPC code has been adopted by the transmitter. Existing methods for blind LDPC code identification suffer from high computational complexity. This paper proposes a deep learning based LDPC code identification algorithm. According to the algorithm, the received LDPC encoded sequence is treated as a text sentence, and a special convolutional neural network (CNN), TextCNN, is utilized to understand the sequence and infer which code is adopted. Two types of LDPC codes, namely quasi-cyclic LDPC and spatially coupled LDPC, are considered. Simulation results show that, the proposed algorithm is able to accurately identify both types of LDPC codes no matterwhether an extra convolution code exists or not.
{"title":"Blind Identification of LDPC Code Based on Deep Learning","authors":"Yanqin Ni, Shengliang Peng, Lin Zhou, Xi Yang","doi":"10.1109/DSA.2019.00073","DOIUrl":"https://doi.org/10.1109/DSA.2019.00073","url":null,"abstract":"In cognitive radio or military communications systems, the receiver usually needs to blindly identify which LDPC code has been adopted by the transmitter. Existing methods for blind LDPC code identification suffer from high computational complexity. This paper proposes a deep learning based LDPC code identification algorithm. According to the algorithm, the received LDPC encoded sequence is treated as a text sentence, and a special convolutional neural network (CNN), TextCNN, is utilized to understand the sequence and infer which code is adopted. Two types of LDPC codes, namely quasi-cyclic LDPC and spatially coupled LDPC, are considered. Simulation results show that, the proposed algorithm is able to accurately identify both types of LDPC codes no matterwhether an extra convolution code exists or not.","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125964213","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}
Consumer price index (CPI) prediction is an effective approach to measure inflation and provide a reference to formulate economic development strategy. The Autoregressive Integrated Moving Average (ARIMA) model is a classic model to predict CPI. However, a main drawback of ARIMA model is that it only utilizes the time effect while ignoring inter-regional economic interaction which is another significant effect on CPI. Aiming at this, the Generalized Space Time Autoregressive Integrated (GSTARI) model is proposed. In this paper, we verify and compare the prediction accuracy of both GSTARI model and classic ARIMA model with the CPI data of 4 main cities (Dalian, Shenyang, Changchun and Harbin) in China. Our experiments show that for most of cities, GSTARI model have 7%-38% higher prediction accuracy than ARIMA model.
{"title":"Research on CPI Prediction Based on Space-Time Model","authors":"Songyan Ji, Jian Dong, Ye Wang, Yanxin Liu","doi":"10.1109/DSA.2019.00058","DOIUrl":"https://doi.org/10.1109/DSA.2019.00058","url":null,"abstract":"Consumer price index (CPI) prediction is an effective approach to measure inflation and provide a reference to formulate economic development strategy. The Autoregressive Integrated Moving Average (ARIMA) model is a classic model to predict CPI. However, a main drawback of ARIMA model is that it only utilizes the time effect while ignoring inter-regional economic interaction which is another significant effect on CPI. Aiming at this, the Generalized Space Time Autoregressive Integrated (GSTARI) model is proposed. In this paper, we verify and compare the prediction accuracy of both GSTARI model and classic ARIMA model with the CPI data of 4 main cities (Dalian, Shenyang, Changchun and Harbin) in China. Our experiments show that for most of cities, GSTARI model have 7%-38% higher prediction accuracy than ARIMA model.","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":"07 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127288790","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}
Ying-chao Wang, Wei Liu, Peng Chen, Cong Zhang, Chunjingming Li
According to the analysis and research of SFMEA and SFTA technology, this paper provides an FPGA software security test excitation random generation technology based on SFMEA and SFTA reverse synthesis. Firstly, establish the FPGA software fault tree through SFTA. Secondly, the SFMEA is performed for the important bottom event, analyze the potential fault effect and supplement the fault tree. Then refine the test constraints according to the bottom event. Finally generate the security random test stimulus using the verification language. This technology can effectively improve the sufficiency of FPGA software security testing, standardize the testing process, and ultimately improve software security and ensure software quality.
{"title":"FPGA Software Security Testing Excitation Random Generation Based on SFMEA and SFTA","authors":"Ying-chao Wang, Wei Liu, Peng Chen, Cong Zhang, Chunjingming Li","doi":"10.1109/DSA.2019.00074","DOIUrl":"https://doi.org/10.1109/DSA.2019.00074","url":null,"abstract":"According to the analysis and research of SFMEA and SFTA technology, this paper provides an FPGA software security test excitation random generation technology based on SFMEA and SFTA reverse synthesis. Firstly, establish the FPGA software fault tree through SFTA. Secondly, the SFMEA is performed for the important bottom event, analyze the potential fault effect and supplement the fault tree. Then refine the test constraints according to the bottom event. Finally generate the security random test stimulus using the verification language. This technology can effectively improve the sufficiency of FPGA software security testing, standardize the testing process, and ultimately improve software security and ensure software quality.","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129915484","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}
Nan-chang Cheng, Y. He, Peixi Zhong, Yujia Wang, Yonglin Teng, Min Hou
The long text in our study involves a complete discourse structure with a title and approximately 1500 Chinese characters within. Long text sentiment analysis has faced a lot of difficulties on the grounds that a long text often comprises multiple sentiments and diverse focuses. This paper proposes to analyze the sentiment of long texts based on the combination of title and topic sentence. Based on the fine-labeled texts, the analysis extracted the important features of topic sentences, such as location, feature words, degree of topic relevance and emotional words. Then two topic sentences were extracted from each text that can best represent the topic through weighted calculation of these multi-dimensional features. Next this paper combined the two topic sentences with the title to complete the sentiment analysis of the whole document. The topic sentence extraction method has achieved good results in the task of extracting and judging key emotional sentences of news in the 6th COAE (Chinese Opinion Analysis Evaluation) (2014), which shows that the method is effective. This method has been put into practice in the National Language Public Opinion Monitoring system, with an accuracy of 0.82.
{"title":"Chinese Long Text Sentiment Analysis Based on the Combination of Title and Topic Sentences","authors":"Nan-chang Cheng, Y. He, Peixi Zhong, Yujia Wang, Yonglin Teng, Min Hou","doi":"10.1109/DSA.2019.00053","DOIUrl":"https://doi.org/10.1109/DSA.2019.00053","url":null,"abstract":"The long text in our study involves a complete discourse structure with a title and approximately 1500 Chinese characters within. Long text sentiment analysis has faced a lot of difficulties on the grounds that a long text often comprises multiple sentiments and diverse focuses. This paper proposes to analyze the sentiment of long texts based on the combination of title and topic sentence. Based on the fine-labeled texts, the analysis extracted the important features of topic sentences, such as location, feature words, degree of topic relevance and emotional words. Then two topic sentences were extracted from each text that can best represent the topic through weighted calculation of these multi-dimensional features. Next this paper combined the two topic sentences with the title to complete the sentiment analysis of the whole document. The topic sentence extraction method has achieved good results in the task of extracting and judging key emotional sentences of news in the 6th COAE (Chinese Opinion Analysis Evaluation) (2014), which shows that the method is effective. This method has been put into practice in the National Language Public Opinion Monitoring system, with an accuracy of 0.82.","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125661011","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}
Power cable is an important carrier of power in medium voltage distribution network. It plays an important role in power transportation and power distribution. Whether the insulation performance of the cable is intact in actual production is an important factor atTecting power safety. Of medium voltage distribution network cable distribution parameter calculation and analysis of decoupling, build the equivalent circuit model of cable insulation defects, with the voltage oscillation wave under transient voltage and current as the information sources, dynamicaUy generated waiting for cable joint insulation defects with reference data set of fault diagnosis, fault diagnosis of the defect or judging function, the cable joint is obtained by a maximum of judging function of defect location and defect severity, in order to complete the medium voltage distribution network cable joint composite insulation defects detection technology is designed, fmaUy adopts the form of the simulation results verify the etTectiveness of the designed by detecting technology.
{"title":"Study on Comprehensive Detection Technology of Insulation Defects in Cable Joints of Medium Voltage Distribution Network","authors":"Lu Chen, Xueyou Huang, Caigan Nie, Hui Liu","doi":"10.1109/DSA.2019.00036","DOIUrl":"https://doi.org/10.1109/DSA.2019.00036","url":null,"abstract":"Power cable is an important carrier of power in medium voltage distribution network. It plays an important role in power transportation and power distribution. Whether the insulation performance of the cable is intact in actual production is an important factor atTecting power safety. Of medium voltage distribution network cable distribution parameter calculation and analysis of decoupling, build the equivalent circuit model of cable insulation defects, with the voltage oscillation wave under transient voltage and current as the information sources, dynamicaUy generated waiting for cable joint insulation defects with reference data set of fault diagnosis, fault diagnosis of the defect or judging function, the cable joint is obtained by a maximum of judging function of defect location and defect severity, in order to complete the medium voltage distribution network cable joint composite insulation defects detection technology is designed, fmaUy adopts the form of the simulation results verify the etTectiveness of the designed by detecting technology.","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126664278","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}
Yang Liu, Youchun Zhang, Yu Zhu, Yunfeng Lu, Tengfei Shi
How to check and assess the whole process of Test and Evaluation on equipment software is one of the major challenges faced by the development of equipment software at present. In order to solve above problems, this paper proposed the development strategies of Test and Evaluation assessment for equipment software in terms of the overall design, data-driven, assessment system and method construction. Then the process of Test and Evaluation assessment on equipment software was checked to verify the development ability, design and organization ability. Therefore, the assessment loop of quality for equipment software as well as the assessment loop of design, development, and stereotyping for equipment software could be gotten through. In this way, the assessment of Test and Evaluation provides supports and traction for equipment software. Moreover, the development strategy of Test and Evaluation assessment on equipment software were made for the operational and in-service usage, which could finally and greatly improve the quality and operational effectiveness of equipment software.
{"title":"Research on Development Strategy of Test and Evaluation Assessment for Equipment Software","authors":"Yang Liu, Youchun Zhang, Yu Zhu, Yunfeng Lu, Tengfei Shi","doi":"10.1109/DSA.2019.00059","DOIUrl":"https://doi.org/10.1109/DSA.2019.00059","url":null,"abstract":"How to check and assess the whole process of Test and Evaluation on equipment software is one of the major challenges faced by the development of equipment software at present. In order to solve above problems, this paper proposed the development strategies of Test and Evaluation assessment for equipment software in terms of the overall design, data-driven, assessment system and method construction. Then the process of Test and Evaluation assessment on equipment software was checked to verify the development ability, design and organization ability. Therefore, the assessment loop of quality for equipment software as well as the assessment loop of design, development, and stereotyping for equipment software could be gotten through. In this way, the assessment of Test and Evaluation provides supports and traction for equipment software. Moreover, the development strategy of Test and Evaluation assessment on equipment software were made for the operational and in-service usage, which could finally and greatly improve the quality and operational effectiveness of equipment software.","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128988489","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}
The existing automatic correction system of oral English pronunciation errors has the problem of poor correction effect, in order to solve these problems, an automatic correction system based on phoneme is designed. The hardware design of the system includes architecture, audio signal modulator, demodulator, audio coUector and eontroller, The software design includes audio acquisition of spoken English pronunciation, speech signal matching flUer processing, oral pronunciation error detection and oral pronunciation error correction. Through the design of hardware and software of the system, the automatic correction system of spoken English pronunciation errors based on phonemes is realized. The experimental results show that: compared with the existing automatic correction system of spoken English pronunciation errors, the automatic correction system of spoken English pronunciation errors designed in this paper greatly improves the correction effect, which fully shows that the designed system has better application performance.
{"title":"The Design of Automatic Correction System for Spoken English Pronunciation Errors Based on Phonemes","authors":"Yang Xin","doi":"10.1109/DSA.2019.00038","DOIUrl":"https://doi.org/10.1109/DSA.2019.00038","url":null,"abstract":"The existing automatic correction system of oral English pronunciation errors has the problem of poor correction effect, in order to solve these problems, an automatic correction system based on phoneme is designed. The hardware design of the system includes architecture, audio signal modulator, demodulator, audio coUector and eontroller, The software design includes audio acquisition of spoken English pronunciation, speech signal matching flUer processing, oral pronunciation error detection and oral pronunciation error correction. Through the design of hardware and software of the system, the automatic correction system of spoken English pronunciation errors based on phonemes is realized. The experimental results show that: compared with the existing automatic correction system of spoken English pronunciation errors, the automatic correction system of spoken English pronunciation errors designed in this paper greatly improves the correction effect, which fully shows that the designed system has better application performance.","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129237317","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}
Junrong Du, Lei Song, Taisheng Zheng, Lili Guo, Chao Ma
The anomaly detection technology is the basis for ensuring the safe and stable operation of the on-rail payload. The traditional threshold-based anomaly detection method has low accuracy and poor flexibility, and cannot detect abnormalities in real time. In addition, due to the lack of abnormal samples, the distribution of positive and negative samples is extremely imbalanced, which increases the difficulty of abnormal detection. Therefore, this paper proposes an unsupervised learning method based on AutoEncoder and its variants, the Basic AutoEncoder, Deep AutoEncoder and Sparse AutoEncoder are used to verify the algorithm on three public datasets. And using the above three algorithms to carry out the case application on the real load dataset. The experiments show whether in the public dataset or the real data of the payload, the three methods of AutoEncoder have achieved good results, proving the AutoEncoder and its variants have a good application in anomaly detection. At the same time, it is verified that the three algorithms have different effects on different datasets, which proves that the AutoEncoder with different characteristics need to be selected in different scenarios.
{"title":"A Comparative Evaluation of AutoEncoder-Based Unsupervised Anomaly Detection Methods Applied on Space Payload","authors":"Junrong Du, Lei Song, Taisheng Zheng, Lili Guo, Chao Ma","doi":"10.1109/DSA.2019.00041","DOIUrl":"https://doi.org/10.1109/DSA.2019.00041","url":null,"abstract":"The anomaly detection technology is the basis for ensuring the safe and stable operation of the on-rail payload. The traditional threshold-based anomaly detection method has low accuracy and poor flexibility, and cannot detect abnormalities in real time. In addition, due to the lack of abnormal samples, the distribution of positive and negative samples is extremely imbalanced, which increases the difficulty of abnormal detection. Therefore, this paper proposes an unsupervised learning method based on AutoEncoder and its variants, the Basic AutoEncoder, Deep AutoEncoder and Sparse AutoEncoder are used to verify the algorithm on three public datasets. And using the above three algorithms to carry out the case application on the real load dataset. The experiments show whether in the public dataset or the real data of the payload, the three methods of AutoEncoder have achieved good results, proving the AutoEncoder and its variants have a good application in anomaly detection. At the same time, it is verified that the three algorithms have different effects on different datasets, which proves that the AutoEncoder with different characteristics need to be selected in different scenarios.","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131760861","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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