Pub Date : 2016-07-01DOI: 10.1109/INDIN.2016.7819332
K. Gopalan
Audio sample bit modification for steganography and watermarking is a viable technique with a simple time domain procedure. While high bit index is needed for robustly carrying hidden data in the presence of noise and low level attacks, an indication of tampering or verification of authenticity of received audio can be ensured using a fragile watermark spread throughout the audio. In this paper, an audio watermarking procedure for hiding an imperceptible and fragile watermark using bit modification is presented. Altering or attacking the watermarked audio, simulated by adding Gaussian noise, showed that the watermark was lost at an SNR of no less than 100 dB for a noise-free speech from the TIMIT database or for a noisy audio from communication from an aircraft cockpit, even when the perceptual quality of the audio in both cases remained the same as the original audio.
{"title":"An algorithm for fragile audio watermarking by bit modification","authors":"K. Gopalan","doi":"10.1109/INDIN.2016.7819332","DOIUrl":"https://doi.org/10.1109/INDIN.2016.7819332","url":null,"abstract":"Audio sample bit modification for steganography and watermarking is a viable technique with a simple time domain procedure. While high bit index is needed for robustly carrying hidden data in the presence of noise and low level attacks, an indication of tampering or verification of authenticity of received audio can be ensured using a fragile watermark spread throughout the audio. In this paper, an audio watermarking procedure for hiding an imperceptible and fragile watermark using bit modification is presented. Altering or attacking the watermarked audio, simulated by adding Gaussian noise, showed that the watermark was lost at an SNR of no less than 100 dB for a noise-free speech from the TIMIT database or for a noisy audio from communication from an aircraft cockpit, even when the perceptual quality of the audio in both cases remained the same as the original audio.","PeriodicalId":421680,"journal":{"name":"2016 IEEE 14th International Conference on Industrial Informatics (INDIN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121469898","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 : 2016-07-01DOI: 10.1109/INDIN.2016.7819266
Shuang Wang, Zhengqi Li, Haijun Zhang, Yuzhu Ji, Yan Li
Vehicle type recognition has many applications in video surveillance, urban traffic management and automatic driving. This paper presents a new vehicle type recognition method using feature encoding combined with Convolutional Neural Network (CNN). This method uses the CNN to learn the properties of the high-level image features. It is able to largely compensate the information loss if we use feature encoding solely. By contrast, to achieve satisfactory classification results, feature encoding algorithms do not need a large number of training samples. Thus, it can help CNN reduce the number of training samples. Therefore, we propose a hybrid algorithm by integrating method on vehicle type recognition in comparison to CNN, feature encoding algorithms and other competitive methods.
{"title":"Classifying vehicles with convolutional neural network and feature encoding","authors":"Shuang Wang, Zhengqi Li, Haijun Zhang, Yuzhu Ji, Yan Li","doi":"10.1109/INDIN.2016.7819266","DOIUrl":"https://doi.org/10.1109/INDIN.2016.7819266","url":null,"abstract":"Vehicle type recognition has many applications in video surveillance, urban traffic management and automatic driving. This paper presents a new vehicle type recognition method using feature encoding combined with Convolutional Neural Network (CNN). This method uses the CNN to learn the properties of the high-level image features. It is able to largely compensate the information loss if we use feature encoding solely. By contrast, to achieve satisfactory classification results, feature encoding algorithms do not need a large number of training samples. Thus, it can help CNN reduce the number of training samples. Therefore, we propose a hybrid algorithm by integrating method on vehicle type recognition in comparison to CNN, feature encoding algorithms and other competitive methods.","PeriodicalId":421680,"journal":{"name":"2016 IEEE 14th International Conference on Industrial Informatics (INDIN)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115464761","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 : 2016-07-01DOI: 10.1109/INDIN.2016.7819226
K. Kumagai, Y. Hayasaki
We propose a holographic-laser-drawing volumetric display using a computer-generated hologram displayed on a liquid crystal spatial light modulator and multilayer fluorescent screen. The holographic-laser-drawing technique has enabled three things; (i) increasing the number of voxels of the volumetric graphics per unit time; (ii) increasing the total input energy to the volumetric display because the maximum energy incident at a point in the multilayer fluorescent screen is limited by the damage threshold; (iii) controlling the size, shape and spatial position of voxels. In this paper, we demonstrated (i) and (ii). The multilayer fluorescent screen was newly developed to display colored voxels. The thin layer construction of the multilayer fluorescent screen minimized the axial length of the voxels. A two-color volumetric display with blue-green voxels and red voxels were demonstrated.
{"title":"Holographic-laser-drawing volumetric display","authors":"K. Kumagai, Y. Hayasaki","doi":"10.1109/INDIN.2016.7819226","DOIUrl":"https://doi.org/10.1109/INDIN.2016.7819226","url":null,"abstract":"We propose a holographic-laser-drawing volumetric display using a computer-generated hologram displayed on a liquid crystal spatial light modulator and multilayer fluorescent screen. The holographic-laser-drawing technique has enabled three things; (i) increasing the number of voxels of the volumetric graphics per unit time; (ii) increasing the total input energy to the volumetric display because the maximum energy incident at a point in the multilayer fluorescent screen is limited by the damage threshold; (iii) controlling the size, shape and spatial position of voxels. In this paper, we demonstrated (i) and (ii). The multilayer fluorescent screen was newly developed to display colored voxels. The thin layer construction of the multilayer fluorescent screen minimized the axial length of the voxels. A two-color volumetric display with blue-green voxels and red voxels were demonstrated.","PeriodicalId":421680,"journal":{"name":"2016 IEEE 14th International Conference on Industrial Informatics (INDIN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115495092","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 : 2016-07-01DOI: 10.1109/INDIN.2016.7819313
A. Antonopoulos, C. Verikoukis
In the Internet of Things (IoT) context, the massive proliferation of wireless devices implies dense networks that require cooperation for the multihop transmission of the sensor data to central units. The altruistic user behavior and the isolation of malicious users are fundamental requirements for the proper operation of any cooperative network. However, the introduction of new communication techniques that improve the cooperative performance (e.g., network coding) hinders the application of traditional schemes on malicious users detection, which are mainly based on packet overhearing. In this paper, we introduce a non-parametric statistical approach, based on the Kruskal-Wallis method, for the detection of user misbehavior in network coding scenarios. The proposed method is shown to effectively handle attacks in the network, even when malicious users adopt a smart probabilistic misbehavior.
{"title":"Misbehavior detection in the Internet of Things: A network-coding-aware statistical approach","authors":"A. Antonopoulos, C. Verikoukis","doi":"10.1109/INDIN.2016.7819313","DOIUrl":"https://doi.org/10.1109/INDIN.2016.7819313","url":null,"abstract":"In the Internet of Things (IoT) context, the massive proliferation of wireless devices implies dense networks that require cooperation for the multihop transmission of the sensor data to central units. The altruistic user behavior and the isolation of malicious users are fundamental requirements for the proper operation of any cooperative network. However, the introduction of new communication techniques that improve the cooperative performance (e.g., network coding) hinders the application of traditional schemes on malicious users detection, which are mainly based on packet overhearing. In this paper, we introduce a non-parametric statistical approach, based on the Kruskal-Wallis method, for the detection of user misbehavior in network coding scenarios. The proposed method is shown to effectively handle attacks in the network, even when malicious users adopt a smart probabilistic misbehavior.","PeriodicalId":421680,"journal":{"name":"2016 IEEE 14th International Conference on Industrial Informatics (INDIN)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116877564","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 : 2016-07-01DOI: 10.1109/INDIN.2016.7819158
Sophie Klecker, P. Plapper
This work is a first step to the automation of freeform surface grinding. A control strategy for a robotic manipulator following a path which includes switching between different surfaces, constant depths of cut and system-inherent as well as environmental uncertainties is presented. The sliding mode control scheme with adaptive parameter update law is verified through simulation.
{"title":"Adaptive SMC for trajectory tracking in freeform grinding","authors":"Sophie Klecker, P. Plapper","doi":"10.1109/INDIN.2016.7819158","DOIUrl":"https://doi.org/10.1109/INDIN.2016.7819158","url":null,"abstract":"This work is a first step to the automation of freeform surface grinding. A control strategy for a robotic manipulator following a path which includes switching between different surfaces, constant depths of cut and system-inherent as well as environmental uncertainties is presented. The sliding mode control scheme with adaptive parameter update law is verified through simulation.","PeriodicalId":421680,"journal":{"name":"2016 IEEE 14th International Conference on Industrial Informatics (INDIN)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115228700","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 : 2016-07-01DOI: 10.1109/INDIN.2016.7819253
M. J. Islam, Borja Ramis, Xiangbin Xu, A. Nieto, J. Lastra
The rapid development and employment of new technologies in the industrial domain forces enterprises dynamically adapting to changes. For example, supply chain enterprises' networks need to adopt affordable and fast responsive information systems, which must be also compatible with other systems for exchanging data. The ongoing Cloud Collaborative Manufacturing Networks (C2NET) project aims the development of a cloud-based platform to enable collaboration and optimization of processes that are performed in supply chains. The C2NET approach will allow collaborative networks (CNs) to improve the efficiency of organizations working in the same value chain. One important aspect of CNs is the interaction of users with the information needed for performing different tasks in the supply chain. The way in which the information is presented, is critical for users to be more efficient in their duties. Thus, user interfaces (UIs) must be customized in order to display useful information depending on the UI user. This research work focuses on a part of the C2NET project that intends to display in devices and web browser friendly UIs which are automatically adapted to the type of user or the role of the enterprise's worker. This article presents an implementation of an industrial visualization ontological model that might be employed for the C2NET platform. The result is a mobile application that provides an adaptive interface, which dynamically changes depending on the user and the notifications received from the CNs systems.
{"title":"Implementation of an industrial visualization model for collaborative networks","authors":"M. J. Islam, Borja Ramis, Xiangbin Xu, A. Nieto, J. Lastra","doi":"10.1109/INDIN.2016.7819253","DOIUrl":"https://doi.org/10.1109/INDIN.2016.7819253","url":null,"abstract":"The rapid development and employment of new technologies in the industrial domain forces enterprises dynamically adapting to changes. For example, supply chain enterprises' networks need to adopt affordable and fast responsive information systems, which must be also compatible with other systems for exchanging data. The ongoing Cloud Collaborative Manufacturing Networks (C2NET) project aims the development of a cloud-based platform to enable collaboration and optimization of processes that are performed in supply chains. The C2NET approach will allow collaborative networks (CNs) to improve the efficiency of organizations working in the same value chain. One important aspect of CNs is the interaction of users with the information needed for performing different tasks in the supply chain. The way in which the information is presented, is critical for users to be more efficient in their duties. Thus, user interfaces (UIs) must be customized in order to display useful information depending on the UI user. This research work focuses on a part of the C2NET project that intends to display in devices and web browser friendly UIs which are automatically adapted to the type of user or the role of the enterprise's worker. This article presents an implementation of an industrial visualization ontological model that might be employed for the C2NET platform. The result is a mobile application that provides an adaptive interface, which dynamically changes depending on the user and the notifications received from the CNs systems.","PeriodicalId":421680,"journal":{"name":"2016 IEEE 14th International Conference on Industrial Informatics (INDIN)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115545009","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 : 2016-07-01DOI: 10.1109/INDIN.2016.7819172
P. Nicolae, D. Popa
The most common reference current detection methods for shunt active power filters are optimized and compared in this article, theoretically and through experimental tests. One used discrete Fourier transform (DFT), d-q axes theory, p-q Instantaneous Reactive Power (IRP) theory and Sinusoidal Signal Integrators (SSI). MATLAB/Simulink software is used because it provides specialized tools in order to design, implement and simulate these algorithms. Afterward they are implemented in a real-time setup using a digital signal processor (DSP) based solution with dSPACE controller board. For the performance comparison one used criteria like total harmonic distortion (THD) and unbalance of detected fundamental current, run time for the DSP, settling time, transient performance and overshoot. This study contributes to the existing comparisons in specialized literature by testing the algorithms under distorted and non-symmetrical PCC voltages and may be useful for hardware implementations.
{"title":"Improvement of the controller algorithms for active power filters operating under distorted and unbalanced grid voltages","authors":"P. Nicolae, D. Popa","doi":"10.1109/INDIN.2016.7819172","DOIUrl":"https://doi.org/10.1109/INDIN.2016.7819172","url":null,"abstract":"The most common reference current detection methods for shunt active power filters are optimized and compared in this article, theoretically and through experimental tests. One used discrete Fourier transform (DFT), d-q axes theory, p-q Instantaneous Reactive Power (IRP) theory and Sinusoidal Signal Integrators (SSI). MATLAB/Simulink software is used because it provides specialized tools in order to design, implement and simulate these algorithms. Afterward they are implemented in a real-time setup using a digital signal processor (DSP) based solution with dSPACE controller board. For the performance comparison one used criteria like total harmonic distortion (THD) and unbalance of detected fundamental current, run time for the DSP, settling time, transient performance and overshoot. This study contributes to the existing comparisons in specialized literature by testing the algorithms under distorted and non-symmetrical PCC voltages and may be useful for hardware implementations.","PeriodicalId":421680,"journal":{"name":"2016 IEEE 14th International Conference on Industrial Informatics (INDIN)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121592428","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 : 2016-07-01DOI: 10.1109/INDIN.2016.7819204
J. Jokinen, J. Lastra
Monitoring and fault diagnosis systems are vital for industrial robot systems for better awareness of system status and shortening the down time. In many cases, the monitoring systems are not upgraded after the robot first installation, because the modifications could cause undesired disturbance for the production. However, for better monitoring and diagnostics rich information is essential that typically requires additional sensors and modifications to the robot system. This paper proposes a monitoring system that is possible to add-on to existing industrial robot system without any changes into the existing control and safety system. The statuses of all safety guard components are indirectly collected by optical sensors to ensure that safety aspects are maintained. The energy consumptions of the main components are monitored with energy analyser and nonintrusive current transformers. The proposed system also uses wireless technology for simplifying the installation. The main benefits of proposed solution are rapid deployment, easy scalability and enhanced fault diagnosis of the main components of the system.
{"title":"Implementation of nonintrusive monitoring and fault diagnosis in industrial robot system","authors":"J. Jokinen, J. Lastra","doi":"10.1109/INDIN.2016.7819204","DOIUrl":"https://doi.org/10.1109/INDIN.2016.7819204","url":null,"abstract":"Monitoring and fault diagnosis systems are vital for industrial robot systems for better awareness of system status and shortening the down time. In many cases, the monitoring systems are not upgraded after the robot first installation, because the modifications could cause undesired disturbance for the production. However, for better monitoring and diagnostics rich information is essential that typically requires additional sensors and modifications to the robot system. This paper proposes a monitoring system that is possible to add-on to existing industrial robot system without any changes into the existing control and safety system. The statuses of all safety guard components are indirectly collected by optical sensors to ensure that safety aspects are maintained. The energy consumptions of the main components are monitored with energy analyser and nonintrusive current transformers. The proposed system also uses wireless technology for simplifying the installation. The main benefits of proposed solution are rapid deployment, easy scalability and enhanced fault diagnosis of the main components of the system.","PeriodicalId":421680,"journal":{"name":"2016 IEEE 14th International Conference on Industrial Informatics (INDIN)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131072404","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 : 2016-07-01DOI: 10.1109/INDIN.2016.7819205
Peng Li, O. Niggemann
Along with the rapid growth of the system complexity, the capability of self-diagnosis is desired by monitoring complex industrial systems to reduce the unplanned system downtimes. By applying data driven analysis methods such as clustering algorithms on the process data of industrial systems, the health status of systems can be deduced and the anomalous statuses can be automatically detected. The accuracy of clustering based anomaly detection using cluster centers is highly dependent on the geometry of the given data set. By a data set with unsymmetrical and concave boundary, using cluster centers as reference to measure the similarity between new observations and clusters normally leads to a high false alarm rate. This paper presented an approach to improve clustering based anomaly detection by building concave hulls for each cluster. For this purpose, a new algorithm for generating n-dimensional concave hulls is developed. The effectiveness of this approach is evaluated with real world data collected from wind turbines.
{"title":"Improving clustering based anomaly detection with concave hull: An application in fault diagnosis of wind turbines","authors":"Peng Li, O. Niggemann","doi":"10.1109/INDIN.2016.7819205","DOIUrl":"https://doi.org/10.1109/INDIN.2016.7819205","url":null,"abstract":"Along with the rapid growth of the system complexity, the capability of self-diagnosis is desired by monitoring complex industrial systems to reduce the unplanned system downtimes. By applying data driven analysis methods such as clustering algorithms on the process data of industrial systems, the health status of systems can be deduced and the anomalous statuses can be automatically detected. The accuracy of clustering based anomaly detection using cluster centers is highly dependent on the geometry of the given data set. By a data set with unsymmetrical and concave boundary, using cluster centers as reference to measure the similarity between new observations and clusters normally leads to a high false alarm rate. This paper presented an approach to improve clustering based anomaly detection by building concave hulls for each cluster. For this purpose, a new algorithm for generating n-dimensional concave hulls is developed. The effectiveness of this approach is evaluated with real world data collected from wind turbines.","PeriodicalId":421680,"journal":{"name":"2016 IEEE 14th International Conference on Industrial Informatics (INDIN)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131035540","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 : 2016-07-01DOI: 10.1109/INDIN.2016.7819267
Wei Huang, Xiaolong Deng, Yuzhu Ji, Shengyong Chen
Since most distributed estimation algorithms only try to achieve high estimation precision while ignoring the positive-negative problem of components in the true parameter, estimation using these methods may be physically absurd and uninterpretable. In order to avoid erroneous results, we need to add a nonnegative constraint on the parameter to be estimated. In this paper, we propose a novel distributed diffusion nonnegative LMS algorithm with regularization for estimating some specific parameter. The algorithm keeps the non-negativity of all components in the parameter in the adaptation process. Simulations results illustrate the advantage of our algorithm in the low steady MSD level and high convergence rate.
{"title":"Distributed diffusion nonnegative LMS algorithm over sensor networks","authors":"Wei Huang, Xiaolong Deng, Yuzhu Ji, Shengyong Chen","doi":"10.1109/INDIN.2016.7819267","DOIUrl":"https://doi.org/10.1109/INDIN.2016.7819267","url":null,"abstract":"Since most distributed estimation algorithms only try to achieve high estimation precision while ignoring the positive-negative problem of components in the true parameter, estimation using these methods may be physically absurd and uninterpretable. In order to avoid erroneous results, we need to add a nonnegative constraint on the parameter to be estimated. In this paper, we propose a novel distributed diffusion nonnegative LMS algorithm with regularization for estimating some specific parameter. The algorithm keeps the non-negativity of all components in the parameter in the adaptation process. Simulations results illustrate the advantage of our algorithm in the low steady MSD level and high convergence rate.","PeriodicalId":421680,"journal":{"name":"2016 IEEE 14th International Conference on Industrial Informatics (INDIN)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129855945","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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