Pub Date : 2016-11-01DOI: 10.1109/TENCON.2016.7848473
Fuping Zhong, Lihong Ma
Image annotation aims to automatically predict a set of relevant keywords for an image that describe its semantics. Nearest Neighbor (NN) based methods have been successfully applied to address image annotation problems. In this paper,a novel method is introduced to improve the performance of annotating images. Firstly, we present a relevance feedback algorithm based on Multi-view non-negative matrix factorization (MultiNMF) to improve the retrieval performance during the process of querying the nearest neighbors. Secondly, a semantic co-occurrence (SC) based strategy is derived to effectively adjust the order of the annotated keywords. Experiment results on Corel5K dataset demonstrate that the proposed method outperforms those previous similar methods.
{"title":"Image annotation using multi-view non-negative matrix factorization and semantic co-occurrence","authors":"Fuping Zhong, Lihong Ma","doi":"10.1109/TENCON.2016.7848473","DOIUrl":"https://doi.org/10.1109/TENCON.2016.7848473","url":null,"abstract":"Image annotation aims to automatically predict a set of relevant keywords for an image that describe its semantics. Nearest Neighbor (NN) based methods have been successfully applied to address image annotation problems. In this paper,a novel method is introduced to improve the performance of annotating images. Firstly, we present a relevance feedback algorithm based on Multi-view non-negative matrix factorization (MultiNMF) to improve the retrieval performance during the process of querying the nearest neighbors. Secondly, a semantic co-occurrence (SC) based strategy is derived to effectively adjust the order of the annotated keywords. Experiment results on Corel5K dataset demonstrate that the proposed method outperforms those previous similar methods.","PeriodicalId":246458,"journal":{"name":"2016 IEEE Region 10 Conference (TENCON)","volume":"643 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132960984","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 : 2016-11-01DOI: 10.1109/TENCON.2016.7848430
Mark Angelo C. Purio, Michael Joshua P.L. Sacopon, John Jason O. Salvador, Ferdinand Alerick B. Velasco
Balikbayan boxes sent by OFW's abroad are delivered by freight forwarders to their rightful recipients. But before arriving at the recipient's residence these packages pass through a series of transfers and transactions (foreign forwarder, shipping company, Bureau of Customs, local forwarder, etc.). In every transaction and transfer, the balikbayan box is vulnerable to different circumstances. The security of the items inside is at stake. I-Box (Innovated Balikbayan box Operation Express) is an innovation to the common delivery system that tracks and monitors the condition of the balikbayan box for secured delivery thus solving the flaws of the normal delivery system. A point to point implementation of this design enhances the monitoring and tracking of the boxes. The realized design uses RFID (Radio Frequency Identification) tags to monitor and track the exact location of the box that is unique to every box making the identification of the box non-reproducible.
{"title":"Development of the system and method for delivery using Radio Frequency Identification (I-BOX)","authors":"Mark Angelo C. Purio, Michael Joshua P.L. Sacopon, John Jason O. Salvador, Ferdinand Alerick B. Velasco","doi":"10.1109/TENCON.2016.7848430","DOIUrl":"https://doi.org/10.1109/TENCON.2016.7848430","url":null,"abstract":"Balikbayan boxes sent by OFW's abroad are delivered by freight forwarders to their rightful recipients. But before arriving at the recipient's residence these packages pass through a series of transfers and transactions (foreign forwarder, shipping company, Bureau of Customs, local forwarder, etc.). In every transaction and transfer, the balikbayan box is vulnerable to different circumstances. The security of the items inside is at stake. I-Box (Innovated Balikbayan box Operation Express) is an innovation to the common delivery system that tracks and monitors the condition of the balikbayan box for secured delivery thus solving the flaws of the normal delivery system. A point to point implementation of this design enhances the monitoring and tracking of the boxes. The realized design uses RFID (Radio Frequency Identification) tags to monitor and track the exact location of the box that is unique to every box making the identification of the box non-reproducible.","PeriodicalId":246458,"journal":{"name":"2016 IEEE Region 10 Conference (TENCON)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132966525","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 : 2016-11-01DOI: 10.1109/TENCON.2016.7848769
Osano Ryohei, Iktai Masato, Matsuno Shogo, Itakura Naoaki, M. Tota
Recently, the input interfaces for the PC using the EEG have been studied. The visual evoked potential (VEP) caused by the blinking light is one of waveforms observed in the EEG signal. The brain computer interfaces which based on the transient VEP (TRVEP) analysis and realized the four choices also have been studied. However, now we have been using a large amplifier and AD board. Furthermore, these two devices are expensive. In this study, in order to solve this problem we developed a small and inexpensive device. In addition, we performed comparative experiments of the conventional device and performance.
{"title":"Development of small device for the brain computer interface with transient VEP analysis","authors":"Osano Ryohei, Iktai Masato, Matsuno Shogo, Itakura Naoaki, M. Tota","doi":"10.1109/TENCON.2016.7848769","DOIUrl":"https://doi.org/10.1109/TENCON.2016.7848769","url":null,"abstract":"Recently, the input interfaces for the PC using the EEG have been studied. The visual evoked potential (VEP) caused by the blinking light is one of waveforms observed in the EEG signal. The brain computer interfaces which based on the transient VEP (TRVEP) analysis and realized the four choices also have been studied. However, now we have been using a large amplifier and AD board. Furthermore, these two devices are expensive. In this study, in order to solve this problem we developed a small and inexpensive device. In addition, we performed comparative experiments of the conventional device and performance.","PeriodicalId":246458,"journal":{"name":"2016 IEEE Region 10 Conference (TENCON)","volume":"159 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128944209","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 : 2016-11-01DOI: 10.1109/TENCON.2016.7848190
T. Deng
This paper presents a new technique for designing an all-pass phase compensator (AP-PC) using a two-step mathematical programming strategy. Such an AP-PC alters the phase characteristics of a nonlinear-phase digital system and achieves phase compensation. In this paper, we first briefly review the approximate phase-error expression that is a linear function of the AP-PC coefficients, and then use the linear programming (LP) strategy to determine the sub-optimal coefficients. After getting the sub-optimal solution, we use the resulting coefficients as the initial values for the further non-linear-programming (NLP). Therefore, this design technique includes two steps (LP plus NLP: LP-NLP). Combining the above two-step optimizations significantly improves the final design accuracy. An example is provided for checking the accuracy improvement by employing the LP-NLP design strategy.
{"title":"Phase-compensator design using two-step mathematical programming","authors":"T. Deng","doi":"10.1109/TENCON.2016.7848190","DOIUrl":"https://doi.org/10.1109/TENCON.2016.7848190","url":null,"abstract":"This paper presents a new technique for designing an all-pass phase compensator (AP-PC) using a two-step mathematical programming strategy. Such an AP-PC alters the phase characteristics of a nonlinear-phase digital system and achieves phase compensation. In this paper, we first briefly review the approximate phase-error expression that is a linear function of the AP-PC coefficients, and then use the linear programming (LP) strategy to determine the sub-optimal coefficients. After getting the sub-optimal solution, we use the resulting coefficients as the initial values for the further non-linear-programming (NLP). Therefore, this design technique includes two steps (LP plus NLP: LP-NLP). Combining the above two-step optimizations significantly improves the final design accuracy. An example is provided for checking the accuracy improvement by employing the LP-NLP design strategy.","PeriodicalId":246458,"journal":{"name":"2016 IEEE Region 10 Conference (TENCON)","volume":"164 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133009041","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 : 2016-11-01DOI: 10.1109/TENCON.2016.7848066
Satoru Ishibashi, N. Kudoh, H. Kamaya, Y. Tadokoro
Musical transcription requires much burden even for specialists in the musical field therefore, many trials of automatic transcription have been being done actively. As musical signals are substantially time varying, we have investigated an LMS-based Fourier analyzer to accommodate time varying characteristics. In this article, frequency response of the above adaptive algorithm is brief! reviewed in order to provide insight of the adaptive algorithm. And then, the analyzing system of Kagura Japanese folk music musical signals, which converts analyzed results to the MIDI format, is described. Finally, results in MIDI format are converted to musical scores by using commercially available software in order to verify the validity of the system.
{"title":"Analyses of Kagura musical signals using LMS-based Fourier Analyzer","authors":"Satoru Ishibashi, N. Kudoh, H. Kamaya, Y. Tadokoro","doi":"10.1109/TENCON.2016.7848066","DOIUrl":"https://doi.org/10.1109/TENCON.2016.7848066","url":null,"abstract":"Musical transcription requires much burden even for specialists in the musical field therefore, many trials of automatic transcription have been being done actively. As musical signals are substantially time varying, we have investigated an LMS-based Fourier analyzer to accommodate time varying characteristics. In this article, frequency response of the above adaptive algorithm is brief! reviewed in order to provide insight of the adaptive algorithm. And then, the analyzing system of Kagura Japanese folk music musical signals, which converts analyzed results to the MIDI format, is described. Finally, results in MIDI format are converted to musical scores by using commercially available software in order to verify the validity of the system.","PeriodicalId":246458,"journal":{"name":"2016 IEEE Region 10 Conference (TENCON)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133067861","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 : 2016-11-01DOI: 10.1109/TENCON.2016.7848657
Felan Carlo C. Garcia, A. Retamar, Joven Javier
DOST-Advanced Science and Technology Institute has installed various hydro-meteorological devices, such as Automated Rain Gauge(ARG), Water Level Monitoring Stations (WLMS), and Tandem Stations, all over the Philippines since 2010. While the stations provide valuable near real-time data for monitoring major riven basins, ahead-of-time flood estimations are of interest for early warning purposes especially for local communities situated along the river basin. This study addresses the need on developing a predictive model that can provide an ahead of time nowcasting system for water level and flood hazard to provide a decision support tool for the local communities. A data driven approach using machine learning is implemented to generate ahead-of-time water level estimation. Results from the testing data shows that the resulting model was able to provide an accurate ahead of time water level prediction without relying on rainfall-runoff models.
{"title":"Development of a predictive model for on-demand remote river level nowcasting: Case study in Cagayan River Basin, Philippines","authors":"Felan Carlo C. Garcia, A. Retamar, Joven Javier","doi":"10.1109/TENCON.2016.7848657","DOIUrl":"https://doi.org/10.1109/TENCON.2016.7848657","url":null,"abstract":"DOST-Advanced Science and Technology Institute has installed various hydro-meteorological devices, such as Automated Rain Gauge(ARG), Water Level Monitoring Stations (WLMS), and Tandem Stations, all over the Philippines since 2010. While the stations provide valuable near real-time data for monitoring major riven basins, ahead-of-time flood estimations are of interest for early warning purposes especially for local communities situated along the river basin. This study addresses the need on developing a predictive model that can provide an ahead of time nowcasting system for water level and flood hazard to provide a decision support tool for the local communities. A data driven approach using machine learning is implemented to generate ahead-of-time water level estimation. Results from the testing data shows that the resulting model was able to provide an accurate ahead of time water level prediction without relying on rainfall-runoff models.","PeriodicalId":246458,"journal":{"name":"2016 IEEE Region 10 Conference (TENCON)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133692996","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 : 2016-11-01DOI: 10.1109/TENCON.2016.7847969
Yeo Zhuan Lun, Peng Wang
Geographical limitations have always been a major concern in Singapore. As demand for a more efficient transport system to accommodate the rising population increases, alternatives such as underground spaces have been explored and made available. The most recent example is the newly introduced Downtown Line which have exploited the spaces Singapore can offer underground. With the transport lines built underground, trains are expected to operate in confined spaces over a long period of time. The objective of this project is to study the aerodynamics behavior of the airflow around the train as it travels through the tunnel. Simulations of several positions of the train with respect to the tunnel were performed using Computational Fluid Dynamic (CFD), using a commercial software ANSYS FLUENT. Results achieved revealed presence of huge pressure fluctuations over the train's surface. Pressure variances and different distribution at different train positions relative to the tunnel can also be observed. The exposure to pressure variation can sometimes have an impact on the structural integrity of the train. If high-speed trains were to be used in the future, these pressure variations would have a profound, if not catastrophic impact on the trains if they are not designed adequately. Besides the external train structure, proper sealing of the train doors is equally important. In an event of air leakage, passengers will feel discomfort due to the high differential in pressure.
{"title":"Numerical modelling of train aerodynamics in confined space","authors":"Yeo Zhuan Lun, Peng Wang","doi":"10.1109/TENCON.2016.7847969","DOIUrl":"https://doi.org/10.1109/TENCON.2016.7847969","url":null,"abstract":"Geographical limitations have always been a major concern in Singapore. As demand for a more efficient transport system to accommodate the rising population increases, alternatives such as underground spaces have been explored and made available. The most recent example is the newly introduced Downtown Line which have exploited the spaces Singapore can offer underground. With the transport lines built underground, trains are expected to operate in confined spaces over a long period of time. The objective of this project is to study the aerodynamics behavior of the airflow around the train as it travels through the tunnel. Simulations of several positions of the train with respect to the tunnel were performed using Computational Fluid Dynamic (CFD), using a commercial software ANSYS FLUENT. Results achieved revealed presence of huge pressure fluctuations over the train's surface. Pressure variances and different distribution at different train positions relative to the tunnel can also be observed. The exposure to pressure variation can sometimes have an impact on the structural integrity of the train. If high-speed trains were to be used in the future, these pressure variations would have a profound, if not catastrophic impact on the trains if they are not designed adequately. Besides the external train structure, proper sealing of the train doors is equally important. In an event of air leakage, passengers will feel discomfort due to the high differential in pressure.","PeriodicalId":246458,"journal":{"name":"2016 IEEE Region 10 Conference (TENCON)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132745649","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 : 2016-11-01DOI: 10.1109/TENCON.2016.7848126
Yepuri Sudhakara Rao, A. Madhukumar
Recently, an elegant method to alleviate the shortcomings of battery-powered (BP) sensor nodes has been introduced in the form of energy harvesting (EH), where the nodes scavenge the energy from ambient sources. Optimal scheduling algorithms, either to minimize transmission completion time or to maximize short-term throughput, for such networks under the deterministic energy and data arrival profiles are extensively studied in the literature. In this work, we revisited the existing optimal algorithms under practical energy cost considerations: circuit power consumption and sleep-to-wakeup power consumption. Next, we found that the direct application of the state-of-the-art algorithms led to sub-optimality. Finally, we proposed suitable adaptations to regain optimality.
{"title":"Optimal algorithms for energy harvesting based systems with circuit power considerations","authors":"Yepuri Sudhakara Rao, A. Madhukumar","doi":"10.1109/TENCON.2016.7848126","DOIUrl":"https://doi.org/10.1109/TENCON.2016.7848126","url":null,"abstract":"Recently, an elegant method to alleviate the shortcomings of battery-powered (BP) sensor nodes has been introduced in the form of energy harvesting (EH), where the nodes scavenge the energy from ambient sources. Optimal scheduling algorithms, either to minimize transmission completion time or to maximize short-term throughput, for such networks under the deterministic energy and data arrival profiles are extensively studied in the literature. In this work, we revisited the existing optimal algorithms under practical energy cost considerations: circuit power consumption and sleep-to-wakeup power consumption. Next, we found that the direct application of the state-of-the-art algorithms led to sub-optimality. Finally, we proposed suitable adaptations to regain optimality.","PeriodicalId":246458,"journal":{"name":"2016 IEEE Region 10 Conference (TENCON)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133148351","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 : 2016-11-01DOI: 10.1109/TENCON.2016.7848739
K. Low, Y. Tsai, G. X. Lee, M. Tissera
The advancement of GPS technology has resulted in many novel applications. Most of the recent satellites carried GPS or GNSS modules onboard for precise orbit determination. Besides using them for the navigation, they can also be used for many other applications. In this paper, the mission of the microsatellite VELOX-CI is presented. The satellite carried an in-house developed GPS radio occultation payload that consists of 3 GPS receiver modules. Besides using them for precise orbit determination, they are also used for the measurement of total electron content of the ionosphere, studying of the vertical profile of the weather for long term climate study, and 3-axes attitude determination of the satellite.
{"title":"Flight results of VELOX-CI microsatellite mission","authors":"K. Low, Y. Tsai, G. X. Lee, M. Tissera","doi":"10.1109/TENCON.2016.7848739","DOIUrl":"https://doi.org/10.1109/TENCON.2016.7848739","url":null,"abstract":"The advancement of GPS technology has resulted in many novel applications. Most of the recent satellites carried GPS or GNSS modules onboard for precise orbit determination. Besides using them for the navigation, they can also be used for many other applications. In this paper, the mission of the microsatellite VELOX-CI is presented. The satellite carried an in-house developed GPS radio occultation payload that consists of 3 GPS receiver modules. Besides using them for precise orbit determination, they are also used for the measurement of total electron content of the ionosphere, studying of the vertical profile of the weather for long term climate study, and 3-axes attitude determination of the satellite.","PeriodicalId":246458,"journal":{"name":"2016 IEEE Region 10 Conference (TENCON)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131425943","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 : 2016-11-01DOI: 10.1109/TENCON.2016.7848197
Sonali Sen, A. Bhaumik, J. Sil
The aim of this work is to design a mathematical model for deriving acoustic signatures by analyzing the sound of a ball mill in its load varying conditions. The paper establishes an appropriate mathematical background that helps to predict dynamic breakage characteristics with respect to particle size distribution of different types of material. Condenser based stereophonic microphones have been used for capturing the acoustic signal with different raw materials at different running conditions of the mill like with load, without load and saved in appropriate format for analysis. Using Kernel Density Estimator, a unique pattern for each state of the running mill is derived, i.e. Gaussian in nature. As a next step we apply Gaussian curve fitting for simulating the patterns based on the statistical parameters. Finally, a mathematical model has been established to follow the crushing operation of the grinding mill in predictive manner. The parameters are tuned in order to minimize the error between the experimental and the simulated results. The model has been validated in real time environment.
{"title":"Mathematical modeling of predictive grinding for ball mill","authors":"Sonali Sen, A. Bhaumik, J. Sil","doi":"10.1109/TENCON.2016.7848197","DOIUrl":"https://doi.org/10.1109/TENCON.2016.7848197","url":null,"abstract":"The aim of this work is to design a mathematical model for deriving acoustic signatures by analyzing the sound of a ball mill in its load varying conditions. The paper establishes an appropriate mathematical background that helps to predict dynamic breakage characteristics with respect to particle size distribution of different types of material. Condenser based stereophonic microphones have been used for capturing the acoustic signal with different raw materials at different running conditions of the mill like with load, without load and saved in appropriate format for analysis. Using Kernel Density Estimator, a unique pattern for each state of the running mill is derived, i.e. Gaussian in nature. As a next step we apply Gaussian curve fitting for simulating the patterns based on the statistical parameters. Finally, a mathematical model has been established to follow the crushing operation of the grinding mill in predictive manner. The parameters are tuned in order to minimize the error between the experimental and the simulated results. The model has been validated in real time environment.","PeriodicalId":246458,"journal":{"name":"2016 IEEE Region 10 Conference (TENCON)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133771891","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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