Pub Date : 2017-08-08DOI: 10.1109/HSI.2017.8005021
Thanh Vo Nhu, H. Sawada
The authors are developing a talking robot which is a mechanical vocalization system modeling the human articulatory system. The talking robot is constructed with mechanical parts that are made by referring to human vocal organs biologically and functionally. In this study, a newly redesign artificial vocal cord is developed for the purpose of extending the speaking capability of the talking robot. The artificial vocal cord is developed using functional approach. A thin layer of rubber band with a width of 7mm is attached on a plastic body in a sealed chamber creates an artificial sound source. The fundamental frequency of the sound source vary from 80Hz to 280 Hz depending on the pressure to the rubber band and the curving shape of the rubber band. The curving shape of the rubber band is adjustable by an innovative design mechanism driven by a servo motor. The amount of air pressure applied to the rubber band is controlled by another servo motor which is referred as volume motor in this study. The experiment to verify the speak capability of the talking robot with this newly redesigned vocal cord is conducted by letting the robot generating five vowel sounds with difference combination of 20 levels of rubber band shape and 10 levels of air pressure input. The pitch and volume of each sound is extracted to determine the effect of the rubber band shape and the pressure input on the output sound. The result shows that this newly redesigned vocal cord greatly increase the speaking capability of the talking robot, especially its singing performance.
{"title":"Text-to-speech of a talking robot for interactive speech training of hearing impaired","authors":"Thanh Vo Nhu, H. Sawada","doi":"10.1109/HSI.2017.8005021","DOIUrl":"https://doi.org/10.1109/HSI.2017.8005021","url":null,"abstract":"The authors are developing a talking robot which is a mechanical vocalization system modeling the human articulatory system. The talking robot is constructed with mechanical parts that are made by referring to human vocal organs biologically and functionally. In this study, a newly redesign artificial vocal cord is developed for the purpose of extending the speaking capability of the talking robot. The artificial vocal cord is developed using functional approach. A thin layer of rubber band with a width of 7mm is attached on a plastic body in a sealed chamber creates an artificial sound source. The fundamental frequency of the sound source vary from 80Hz to 280 Hz depending on the pressure to the rubber band and the curving shape of the rubber band. The curving shape of the rubber band is adjustable by an innovative design mechanism driven by a servo motor. The amount of air pressure applied to the rubber band is controlled by another servo motor which is referred as volume motor in this study. The experiment to verify the speak capability of the talking robot with this newly redesigned vocal cord is conducted by letting the robot generating five vowel sounds with difference combination of 20 levels of rubber band shape and 10 levels of air pressure input. The pitch and volume of each sound is extracted to determine the effect of the rubber band shape and the pressure input on the output sound. The result shows that this newly redesigned vocal cord greatly increase the speaking capability of the talking robot, especially its singing performance.","PeriodicalId":355011,"journal":{"name":"2017 10th International Conference on Human System Interactions (HSI)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129532649","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 : 2017-07-17DOI: 10.1109/HSI.2017.8004995
Laksono Kurnianggoro, K. Jo
Object classification is an important task in vision-based systems. In this work, an intelligent system to perform detection and classification of road objects is presented. The proposed method utilize machine learning algorithm to classify group of points into various categories that represent several road objects. This classification system was trained using 50 features of 2D laser point which were encoded into smaller dimension in order to obtain efficiency. The method was evaluated on public dataset and the experiment results shows that the proposed method achieve quality improvements compared to the baseline. Comparison of several machine learning methods for object classification is also presented to emphasize the superiority of this proposed method.
{"title":"Object classification for LIDAR data using encoded features","authors":"Laksono Kurnianggoro, K. Jo","doi":"10.1109/HSI.2017.8004995","DOIUrl":"https://doi.org/10.1109/HSI.2017.8004995","url":null,"abstract":"Object classification is an important task in vision-based systems. In this work, an intelligent system to perform detection and classification of road objects is presented. The proposed method utilize machine learning algorithm to classify group of points into various categories that represent several road objects. This classification system was trained using 50 features of 2D laser point which were encoded into smaller dimension in order to obtain efficiency. The method was evaluated on public dataset and the experiment results shows that the proposed method achieve quality improvements compared to the baseline. Comparison of several machine learning methods for object classification is also presented to emphasize the superiority of this proposed method.","PeriodicalId":355011,"journal":{"name":"2017 10th International Conference on Human System Interactions (HSI)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127275973","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 : 2017-07-17DOI: 10.1109/HSI.2017.8005053
P. H. Witono, P. Lakonawa
This work is motivated by the phenomenon of sophistication of Internet technology which nowadays is rapidly evolving in Indonesia. Indonesia is a developing country which has a great enthusiasm for Internet technology. In history, the Indonesian government began developing the Internet in the early 1980s at the state universities in Indonesia. Internet started to become popular since the collapse of the Suharto regime in 1998. Until the end, the Internet became a tool used by many college students to perform a political movement. Since then, the Indonesian community began to recognize the internet-based activity. However, the progress of the Internet in Indonesia also has an impact on behavior change for young generation. This article shows to the government, parents and internet users in Indonesia how shall we manage the advancement of the Internet.
{"title":"The growth and impact of the internet on the users: A research on Internet phenomena in Indonesia in 2016","authors":"P. H. Witono, P. Lakonawa","doi":"10.1109/HSI.2017.8005053","DOIUrl":"https://doi.org/10.1109/HSI.2017.8005053","url":null,"abstract":"This work is motivated by the phenomenon of sophistication of Internet technology which nowadays is rapidly evolving in Indonesia. Indonesia is a developing country which has a great enthusiasm for Internet technology. In history, the Indonesian government began developing the Internet in the early 1980s at the state universities in Indonesia. Internet started to become popular since the collapse of the Suharto regime in 1998. Until the end, the Internet became a tool used by many college students to perform a political movement. Since then, the Indonesian community began to recognize the internet-based activity. However, the progress of the Internet in Indonesia also has an impact on behavior change for young generation. This article shows to the government, parents and internet users in Indonesia how shall we manage the advancement of the Internet.","PeriodicalId":355011,"journal":{"name":"2017 10th International Conference on Human System Interactions (HSI)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129890810","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 : 2017-07-17DOI: 10.1109/HSI.2017.8004987
Tomasz Kocejko, A. Poliński, A. Giczewska, J. Wtorek
In this paper we present the research conducted on synchronous measurements of biosignals. The experiment was conducted to evaluate the possibility of estimating vital signs based on eye tracking. Method: The eGlasses platform was used for acquisition of ECG, respiration rate, eye and pupil movement and blood pressure. Data were acquired in three 5 min. intervals during which a subject was performing certain tasks. The signals were filtered and resampled. The correlation between blood pressure, respiration and pupil dilation was calculated. Results: The measurements were conducted on 12 healthy volunteers. The obtained correlation coefficient was similar for all people and measurement positions. Conclusions: The electronic eyewear like eGlasses can be utilized to measure and process essential vital signs. Although some results are promising, estimating a value of blood pressure or hart rate based on data provided by eye tracking module requires some further studies.
{"title":"Using wearable device for biomedical signal acquisition and processing","authors":"Tomasz Kocejko, A. Poliński, A. Giczewska, J. Wtorek","doi":"10.1109/HSI.2017.8004987","DOIUrl":"https://doi.org/10.1109/HSI.2017.8004987","url":null,"abstract":"In this paper we present the research conducted on synchronous measurements of biosignals. The experiment was conducted to evaluate the possibility of estimating vital signs based on eye tracking. Method: The eGlasses platform was used for acquisition of ECG, respiration rate, eye and pupil movement and blood pressure. Data were acquired in three 5 min. intervals during which a subject was performing certain tasks. The signals were filtered and resampled. The correlation between blood pressure, respiration and pupil dilation was calculated. Results: The measurements were conducted on 12 healthy volunteers. The obtained correlation coefficient was similar for all people and measurement positions. Conclusions: The electronic eyewear like eGlasses can be utilized to measure and process essential vital signs. Although some results are promising, estimating a value of blood pressure or hart rate based on data provided by eye tracking module requires some further studies.","PeriodicalId":355011,"journal":{"name":"2017 10th International Conference on Human System Interactions (HSI)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130343640","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 : 2017-07-17DOI: 10.1109/HSI.2017.8005045
Patrick Sivils, Kasun Amarasinghe, Matthew Anderson, N. Yancey, Quang Nguyen, K. Kenney, M. Manic
Control systems monitor and command other devices, systems, and software within an infrastructure. Typically, control systems employ human-in-the-loop control for critical decision making and response. These end-users require easy access to accurate, actionable and relevant data to ensure quick and effective decision making. This work presents a framework for creating dynamic visual interfaces for improved situational awareness. The proposed framework determines the relevance of available information pieces and then applies the derived relevance scores to a visualization so that the most relevant and important information are emphasized to the end-users. In the presented work, a priori expert knowledge is encoded in the system through the use of Fuzzy Logic (FL) and the resulting FL inference system assigns scores to information pieces based on system state information and user defined relevance. These scores can then be used to organize and display the relevant data given the current situation and end-user roles. The proposed FL based scoring system was implemented on a real world control system dataset and we demonstrate how the information visualization is dynamically adapted to improve situational awareness. Further, we discuss potential methods the relevance scores can be incorporated into real world visualizations to increase the situational awareness in control systems.
{"title":"Dynamic user interfaces for control systems","authors":"Patrick Sivils, Kasun Amarasinghe, Matthew Anderson, N. Yancey, Quang Nguyen, K. Kenney, M. Manic","doi":"10.1109/HSI.2017.8005045","DOIUrl":"https://doi.org/10.1109/HSI.2017.8005045","url":null,"abstract":"Control systems monitor and command other devices, systems, and software within an infrastructure. Typically, control systems employ human-in-the-loop control for critical decision making and response. These end-users require easy access to accurate, actionable and relevant data to ensure quick and effective decision making. This work presents a framework for creating dynamic visual interfaces for improved situational awareness. The proposed framework determines the relevance of available information pieces and then applies the derived relevance scores to a visualization so that the most relevant and important information are emphasized to the end-users. In the presented work, a priori expert knowledge is encoded in the system through the use of Fuzzy Logic (FL) and the resulting FL inference system assigns scores to information pieces based on system state information and user defined relevance. These scores can then be used to organize and display the relevant data given the current situation and end-user roles. The proposed FL based scoring system was implemented on a real world control system dataset and we demonstrate how the information visualization is dynamically adapted to improve situational awareness. Further, we discuss potential methods the relevance scores can be incorporated into real world visualizations to increase the situational awareness in control systems.","PeriodicalId":355011,"journal":{"name":"2017 10th International Conference on Human System Interactions (HSI)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127863861","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 : 2017-07-17DOI: 10.1109/HSI.2017.8005003
Diogo Cortiz, J. Silva
Some universities and schools have offered virtual courses to their students as part of their official curriculum. Online learning is a coherent approach for contemporary education; however, some studies show it has some weaknesses that could be addressed to enhance its potential. In this paper, we argue how virtual reality improve online learning in some aspects, such as giving students the sense of presence in an immersive world, and bringing a new way to interact with colleagues and teachers when they are not in the same place. We also discuss the role of WebVR as an open platform to bring new possibilities to explore virtual reality worlds in education.
{"title":"Web and virtual reality as platforms to improve online education experiences","authors":"Diogo Cortiz, J. Silva","doi":"10.1109/HSI.2017.8005003","DOIUrl":"https://doi.org/10.1109/HSI.2017.8005003","url":null,"abstract":"Some universities and schools have offered virtual courses to their students as part of their official curriculum. Online learning is a coherent approach for contemporary education; however, some studies show it has some weaknesses that could be addressed to enhance its potential. In this paper, we argue how virtual reality improve online learning in some aspects, such as giving students the sense of presence in an immersive world, and bringing a new way to interact with colleagues and teachers when they are not in the same place. We also discuss the role of WebVR as an open platform to bring new possibilities to explore virtual reality worlds in education.","PeriodicalId":355011,"journal":{"name":"2017 10th International Conference on Human System Interactions (HSI)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115074512","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 : 2017-07-17DOI: 10.1109/HSI.2017.8004992
Tomasz Kocejko, J. Rumiński, Piotr Przystup, A. Poliński, J. Wtorek
Nearly 10% of all upper limb amputations concern the whole arm. It affects the mobility and reduces the productivity of such a person. These two factors can be restored by using prosthetics. However, the complexity of human arm makes restoring its basic functions quite difficult. When the osseointegration and/or targeted muscle reinnervation (TMR) are not possible, different modalities can be used to control the prosthesis. In this paper the usability of electromyography (EMG) signals for such a control is evaluated. Method: first, the types of operations performed by the prosthetic arm that could be handled by EMG module were defined. The raw EMG signal, corresponding to the predefined gesture, was acquired from the surface of trapezius muscle. The pattern recognition neural network was trained to classify gestures based on recorded RAW data. Results: The neural network was trained using 56 signals corresponding to performed gestures. Optimal performance was achieved for 29 training cycles. The network was tested using data set of 56 gestures. The designed network was tested on gestures recorded from 10 volunteers. The gestures were correctly classified with nearly 84% accuracy. Conclusions: The EMG analysis is a reliable modality when it comes to hybrid interfaces for control over prosthetic arm.
{"title":"The role of EMG module in hybrid interface of prosthetic arm","authors":"Tomasz Kocejko, J. Rumiński, Piotr Przystup, A. Poliński, J. Wtorek","doi":"10.1109/HSI.2017.8004992","DOIUrl":"https://doi.org/10.1109/HSI.2017.8004992","url":null,"abstract":"Nearly 10% of all upper limb amputations concern the whole arm. It affects the mobility and reduces the productivity of such a person. These two factors can be restored by using prosthetics. However, the complexity of human arm makes restoring its basic functions quite difficult. When the osseointegration and/or targeted muscle reinnervation (TMR) are not possible, different modalities can be used to control the prosthesis. In this paper the usability of electromyography (EMG) signals for such a control is evaluated. Method: first, the types of operations performed by the prosthetic arm that could be handled by EMG module were defined. The raw EMG signal, corresponding to the predefined gesture, was acquired from the surface of trapezius muscle. The pattern recognition neural network was trained to classify gestures based on recorded RAW data. Results: The neural network was trained using 56 signals corresponding to performed gestures. Optimal performance was achieved for 29 training cycles. The network was tested using data set of 56 gestures. The designed network was tested on gestures recorded from 10 volunteers. The gestures were correctly classified with nearly 84% accuracy. Conclusions: The EMG analysis is a reliable modality when it comes to hybrid interfaces for control over prosthetic arm.","PeriodicalId":355011,"journal":{"name":"2017 10th International Conference on Human System Interactions (HSI)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123730289","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 : 2017-07-17DOI: 10.1109/HSI.2017.8004998
A. Filonenko, Laksono Kurnianggoro, K. Jo
This work evaluates modern convolutional neural networks (CNN) for the task of smoke detection on image data. The networks that were tested are AlexNet, Inception-V3, Inception-V4, ResNet, VGG, and Xception. They all have shown high performance on huge ImageNet dataset, but the possibility of using such CNNs needed to be checked for a very specific task of smoke detection with a high diversity of possible scenarios and a small available dataset. Experimental results have shown that inception-based networks reach high performance when samples in the training dataset cover enough scenarios while accuracy dramatically drops when older networks are utilized.
{"title":"Comparative study of modern convolutional neural networks for smoke detection on image data","authors":"A. Filonenko, Laksono Kurnianggoro, K. Jo","doi":"10.1109/HSI.2017.8004998","DOIUrl":"https://doi.org/10.1109/HSI.2017.8004998","url":null,"abstract":"This work evaluates modern convolutional neural networks (CNN) for the task of smoke detection on image data. The networks that were tested are AlexNet, Inception-V3, Inception-V4, ResNet, VGG, and Xception. They all have shown high performance on huge ImageNet dataset, but the possibility of using such CNNs needed to be checked for a very specific task of smoke detection with a high diversity of possible scenarios and a small available dataset. Experimental results have shown that inception-based networks reach high performance when samples in the training dataset cover enough scenarios while accuracy dramatically drops when older networks are utilized.","PeriodicalId":355011,"journal":{"name":"2017 10th International Conference on Human System Interactions (HSI)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121779023","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 : 2017-07-17DOI: 10.1109/HSI.2017.8005037
Sanghyeop Lee, Keumyoung Son, Hyuntae Kim, Jangsik Park
a built-in system was implemented with a GPU in order to recognize the license plate number without detection line. The deep-learning network to recognize the license plate number of the vehicle uses relatively simple AlexNet. Tests confirm that the vehicle license plate can be effectively recognized on the Jetson TX1 board system.
{"title":"Car plate recognition based on CNN using embedded system with GPU","authors":"Sanghyeop Lee, Keumyoung Son, Hyuntae Kim, Jangsik Park","doi":"10.1109/HSI.2017.8005037","DOIUrl":"https://doi.org/10.1109/HSI.2017.8005037","url":null,"abstract":"a built-in system was implemented with a GPU in order to recognize the license plate number without detection line. The deep-learning network to recognize the license plate number of the vehicle uses relatively simple AlexNet. Tests confirm that the vehicle license plate can be effectively recognized on the Jetson TX1 board system.","PeriodicalId":355011,"journal":{"name":"2017 10th International Conference on Human System Interactions (HSI)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121379143","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 : 2017-07-17DOI: 10.1109/HSI.2017.8004988
Tomasz Kocejko, Krzysztof Czuszyński, J. Rumiński, A. Bujnowski, A. Poliński, J. Wtorek
In this paper we propose to use temporal muscle contraction to perform certain actions. Method: The set of muscle contractions corresponding to one of three actions including “single-click”, “double-click” “click-n-hold” and “non-action” were recorded. After recording certain amount of signals, the set of five parameters was calculated. These parameters served as an input matrix for the neural network. Two-layer feedforward neural network with one hidden layer of 200 neurons was applied to classify gestures based on the input matrix. Results: The network was trained using the dataset consisted of 43 samples and then tested on the 34 samples dataset. All gestures from the test set were correctly classified.
{"title":"Extending touch-less interaction with smart glasses by implementing EMG module","authors":"Tomasz Kocejko, Krzysztof Czuszyński, J. Rumiński, A. Bujnowski, A. Poliński, J. Wtorek","doi":"10.1109/HSI.2017.8004988","DOIUrl":"https://doi.org/10.1109/HSI.2017.8004988","url":null,"abstract":"In this paper we propose to use temporal muscle contraction to perform certain actions. Method: The set of muscle contractions corresponding to one of three actions including “single-click”, “double-click” “click-n-hold” and “non-action” were recorded. After recording certain amount of signals, the set of five parameters was calculated. These parameters served as an input matrix for the neural network. Two-layer feedforward neural network with one hidden layer of 200 neurons was applied to classify gestures based on the input matrix. Results: The network was trained using the dataset consisted of 43 samples and then tested on the 34 samples dataset. All gestures from the test set were correctly classified.","PeriodicalId":355011,"journal":{"name":"2017 10th International Conference on Human System Interactions (HSI)","volume":"248 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133053162","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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