Pub Date : 2013-11-01DOI: 10.1109/ICAWST.2013.6765476
Rueiher Tsaur
Homomorphism graphs are digraphs whose vertices are homomorphisms. A digraph is said to be contractible if the homomorphism graph consisting of vertices the self-mapping homomorphisms of the digraph is connected. In this paper, we show that the notion of contractible digraph extends and unifies various notions of dismantlable structures such as dismantlable graphs and dismantlable posets.
{"title":"Contractibility for digraphs and the fixed clique property","authors":"Rueiher Tsaur","doi":"10.1109/ICAWST.2013.6765476","DOIUrl":"https://doi.org/10.1109/ICAWST.2013.6765476","url":null,"abstract":"Homomorphism graphs are digraphs whose vertices are homomorphisms. A digraph is said to be contractible if the homomorphism graph consisting of vertices the self-mapping homomorphisms of the digraph is connected. In this paper, we show that the notion of contractible digraph extends and unifies various notions of dismantlable structures such as dismantlable graphs and dismantlable posets.","PeriodicalId":68697,"journal":{"name":"炎黄地理","volume":"312 4 1","pages":"418-422"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82549479","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 : 2013-11-01DOI: 10.1109/ICAWST.2013.6765407
S. Maneewongvatana, S. Maneewongvatana
CRD (Chronic Respiratory Disease) is the main cause of rejection in broiler farm industry. The large number of CRD rejections is due to the difficulty in determining root causes of disease. Moreover, this disease is very hard to be observed from outside. Hence, farmers cannot setup strategy to prevent or reduce the large number of infected chickens in time. This project proposed the proactive model for predicting the number of infected chickens by association rules technique that can continually predict the number of CRD rejections in every state of broiler raising cycle. The rules are generated from historical data and the set of risk parameters for a specific farm is extracted. Hence, for each state, farmers can obtain the notification if they have a risk to have high CRD infection. Moreover, the suggestion and avoidance to prevent the CRD problem is discovered based on the set of risk parameters of the current state. This strategy can help farmers to reduce the rate of CRD infection in time.
{"title":"Proactive model to predict and notify the risk of CRD problem in broiler farms","authors":"S. Maneewongvatana, S. Maneewongvatana","doi":"10.1109/ICAWST.2013.6765407","DOIUrl":"https://doi.org/10.1109/ICAWST.2013.6765407","url":null,"abstract":"CRD (Chronic Respiratory Disease) is the main cause of rejection in broiler farm industry. The large number of CRD rejections is due to the difficulty in determining root causes of disease. Moreover, this disease is very hard to be observed from outside. Hence, farmers cannot setup strategy to prevent or reduce the large number of infected chickens in time. This project proposed the proactive model for predicting the number of infected chickens by association rules technique that can continually predict the number of CRD rejections in every state of broiler raising cycle. The rules are generated from historical data and the set of risk parameters for a specific farm is extracted. Hence, for each state, farmers can obtain the notification if they have a risk to have high CRD infection. Moreover, the suggestion and avoidance to prevent the CRD problem is discovered based on the set of risk parameters of the current state. This strategy can help farmers to reduce the rate of CRD infection in time.","PeriodicalId":68697,"journal":{"name":"炎黄地理","volume":"62 1","pages":"47-52"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83156927","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 : 2013-11-01DOI: 10.1109/ICAWST.2013.6765416
Y. Fouda, K. Ragab
Normalized Cross-Correlation (NCC) image matching algorithm based on gray correlation provides accurate results however it consumes a significant time for large amount of calculations. The main contribution of this paper is implementing the NCC image matching algorithm in parallel. Moreover, it proposes and implements the NCCP based on pyramid to reduce the time.
{"title":"An efficient implementation of normalized cross-correlation image matching based on pyramid","authors":"Y. Fouda, K. Ragab","doi":"10.1109/ICAWST.2013.6765416","DOIUrl":"https://doi.org/10.1109/ICAWST.2013.6765416","url":null,"abstract":"Normalized Cross-Correlation (NCC) image matching algorithm based on gray correlation provides accurate results however it consumes a significant time for large amount of calculations. The main contribution of this paper is implementing the NCC image matching algorithm in parallel. Moreover, it proposes and implements the NCCP based on pyramid to reduce the time.","PeriodicalId":68697,"journal":{"name":"炎黄地理","volume":"22 1","pages":"98-103"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72870830","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 : 2013-11-01DOI: 10.1109/ICAWST.2013.6765468
Lu Xu, Weiwei Liu, Kazuhiro Tsujino, Cunwei Lu
Facial recognition technology is an important part of human-system interaction, which can be used in ID verification, man-machine interface, etc. Many methods based on the analysis of a color image have been proposed. However, the real-time performance or accuracy of the existing recognition approaches is not satisfying, which can be influenced by factors such as lighting environment, position change, face make-up, etc. In this paper, we propose a facial recognition method based on three-dimensional (3-D) images measurement and 3-D image histogram analysis. We use the optimal intensity-modulation pattern projection (OIMP) technique to obtain the 3-D information of face. Since the OIMP technique needs only one single projection, it is easy to apply to human face measurement. The recognition procedure of the method we proposed is as follow. First, set up a 3-D database to store facial information obtained by using OIMP measurement technique. Only the front face images are needed. Second, capture the 3-D face image of the identified person. Then do the recognition by comparing histogram of saved 3-D image in database with the captured 3-D image. If the degree of histograms' similarity of the two 3-D images is the maximum and the value is higher than a certain threshold, then the user can be determined to be the right person. To verify the feasibility of the method, we have a group of testers including male and female of different ages and conduct a verification experiment. In the different lighting environments and different angles for faces, the average recognition accuracy was higher than 90%.
{"title":"A facial recognition method based on 3-D images analysis for intuitive human-system interaction","authors":"Lu Xu, Weiwei Liu, Kazuhiro Tsujino, Cunwei Lu","doi":"10.1109/ICAWST.2013.6765468","DOIUrl":"https://doi.org/10.1109/ICAWST.2013.6765468","url":null,"abstract":"Facial recognition technology is an important part of human-system interaction, which can be used in ID verification, man-machine interface, etc. Many methods based on the analysis of a color image have been proposed. However, the real-time performance or accuracy of the existing recognition approaches is not satisfying, which can be influenced by factors such as lighting environment, position change, face make-up, etc. In this paper, we propose a facial recognition method based on three-dimensional (3-D) images measurement and 3-D image histogram analysis. We use the optimal intensity-modulation pattern projection (OIMP) technique to obtain the 3-D information of face. Since the OIMP technique needs only one single projection, it is easy to apply to human face measurement. The recognition procedure of the method we proposed is as follow. First, set up a 3-D database to store facial information obtained by using OIMP measurement technique. Only the front face images are needed. Second, capture the 3-D face image of the identified person. Then do the recognition by comparing histogram of saved 3-D image in database with the captured 3-D image. If the degree of histograms' similarity of the two 3-D images is the maximum and the value is higher than a certain threshold, then the user can be determined to be the right person. To verify the feasibility of the method, we have a group of testers including male and female of different ages and conduct a verification experiment. In the different lighting environments and different angles for faces, the average recognition accuracy was higher than 90%.","PeriodicalId":68697,"journal":{"name":"炎黄地理","volume":"8 1","pages":"371-377"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75588861","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 : 2013-11-01DOI: 10.1109/ICAWST.2013.6765412
D. Kikuchi, J. Sawamoto, G. Chakraborty, Hikaru Yokoha
Human brains receive a variety of raw data through sense organs, and process them to generate meaningful information like an image or an alarm etc. This mapping depends on personal experiences and training. Environmental information is continuously passed to and integrated in cerebral cortex, where it is evaluated on the basis knowledge acquired from previous experiences. Most of the time, the environment around us is mundane. Occasionally, the situation is alarming warranting immediate attention or a special action to achieve a reward. We are aware of an imminent danger or possible award. Under such a situation, a strong electrical signal is generated. However, it takes time to integrate external stimuli with pre-acquired knowledge to perceive that an action is needed. So, there is a time lag between external stimuli to its perception (Tper) and perception to action (Tact)· This time lag varies with age and physical condition. For example, an old person is slower than a young one, and someone intoxicated or drowsy will be slower than one physically fit and fresh. The purpose of this work is to define the Perception Delay such that it is reliable and stable. We took frequency features of EEG signals on slotted time over several probes, and integrate them to a feature vector. By unsupervised clustering, we could find the exact time when the signal behavior changes abruptly, indicating onslaught of the powerful signal. Through experiments we ensured confidence of our definition. In addition, we also measured perception delay after getting the subjects intoxicated and compared it when the subjects are normal.
{"title":"Analysis of EEG signal to investigate the influence of intoxication in perception delay","authors":"D. Kikuchi, J. Sawamoto, G. Chakraborty, Hikaru Yokoha","doi":"10.1109/ICAWST.2013.6765412","DOIUrl":"https://doi.org/10.1109/ICAWST.2013.6765412","url":null,"abstract":"Human brains receive a variety of raw data through sense organs, and process them to generate meaningful information like an image or an alarm etc. This mapping depends on personal experiences and training. Environmental information is continuously passed to and integrated in cerebral cortex, where it is evaluated on the basis knowledge acquired from previous experiences. Most of the time, the environment around us is mundane. Occasionally, the situation is alarming warranting immediate attention or a special action to achieve a reward. We are aware of an imminent danger or possible award. Under such a situation, a strong electrical signal is generated. However, it takes time to integrate external stimuli with pre-acquired knowledge to perceive that an action is needed. So, there is a time lag between external stimuli to its perception (Tper) and perception to action (Tact)· This time lag varies with age and physical condition. For example, an old person is slower than a young one, and someone intoxicated or drowsy will be slower than one physically fit and fresh. The purpose of this work is to define the Perception Delay such that it is reliable and stable. We took frequency features of EEG signals on slotted time over several probes, and integrate them to a feature vector. By unsupervised clustering, we could find the exact time when the signal behavior changes abruptly, indicating onslaught of the powerful signal. Through experiments we ensured confidence of our definition. In addition, we also measured perception delay after getting the subjects intoxicated and compared it when the subjects are normal.","PeriodicalId":68697,"journal":{"name":"炎黄地理","volume":"30 1","pages":"75-81"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80487786","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 : 2013-11-01DOI: 10.1109/ICAWST.2013.6765408
Weiwei Yu, Shen Wang, K. Madani, Huashan Feng
This paper proposes a framework of knowledge transfer used in the robot navigation problem, in order to speedup the learning process when the robot meets new or more complex task. Take the graph of source navigation maps as the template library, Principal Component Analysis method is adopted to match the target graph with source template. Then, the robot recognizes the similar source task. The value-function of the selected source task, which correlates the cumulative rewards with the sensory information corresponding to the generalized distance information to each beacon, is transferred to the target task. With this approach, the robot can choose the most related knowledge from the source tasks and transfer the generalized knowledge to the target navigation task automatically without handed code mapping between tasks. Experimental results demonstrate that the presented transfer method can yield a remarkable speedup for learning process in the robot navigation task.
{"title":"A framework of autonomous knowledge transfer for robot navigation task","authors":"Weiwei Yu, Shen Wang, K. Madani, Huashan Feng","doi":"10.1109/ICAWST.2013.6765408","DOIUrl":"https://doi.org/10.1109/ICAWST.2013.6765408","url":null,"abstract":"This paper proposes a framework of knowledge transfer used in the robot navigation problem, in order to speedup the learning process when the robot meets new or more complex task. Take the graph of source navigation maps as the template library, Principal Component Analysis method is adopted to match the target graph with source template. Then, the robot recognizes the similar source task. The value-function of the selected source task, which correlates the cumulative rewards with the sensory information corresponding to the generalized distance information to each beacon, is transferred to the target task. With this approach, the robot can choose the most related knowledge from the source tasks and transfer the generalized knowledge to the target navigation task automatically without handed code mapping between tasks. Experimental results demonstrate that the presented transfer method can yield a remarkable speedup for learning process in the robot navigation task.","PeriodicalId":68697,"journal":{"name":"炎黄地理","volume":"43 1","pages":"52-58"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87004877","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 : 2013-11-01DOI: 10.1109/ICAWST.2013.6765519
B. Xiao, M. Asghar, T. Jamsa, P. Pulli
The number of elderly people increases quickly in many countries, under the global population aging situation. It is an upsetting fact that many elderly people are suffering from the dementia, which seriously obstructs their independent living and travel. It is a pervasive problem that the demented elderly individuals are easy to get lost or go into danger during alone travel in daily life. Therefore we propose a novel mobile system named "Canderoid" to monitor independent outdoor travel of the elderly individuals remotely, with aid from the caretaker. The system is composed mainly of an android terminal (Wanderoid), an MQTT broker, and a platform on caretaker side. In the system, an android terminal named "Wanderoid" is implemented on a smartphone to capture the travelling status, using built-in smartphone sensors (i.e. camera with an adhesive fish-eye lens, compass and GPS). The terminal device is a normal smartphone, with a fish-eye lens attached on the camera. The sensor data are transferred to the platform of caretaker after capturing. The data transmission work relies on a message pushing architecture, which deals with mobile IP address changing and enables remote manipulation of the smartphone terminal, by introducing the MQTT broker. Then the caretaker platform can interpret sensor data and real-timely present the travelling status using snapshot taken by the fish-eye camera, street view and map. A reliability test, energy dissipation test and usability test are carried out on the prototype to verify that the system is effective, easy-to-use, reliable and energy-saving, from the viewpoints of both technology and human factors.
{"title":"\"Canderoid\": A mobile system to remotely monitor travelling status of the elderly with dementia","authors":"B. Xiao, M. Asghar, T. Jamsa, P. Pulli","doi":"10.1109/ICAWST.2013.6765519","DOIUrl":"https://doi.org/10.1109/ICAWST.2013.6765519","url":null,"abstract":"The number of elderly people increases quickly in many countries, under the global population aging situation. It is an upsetting fact that many elderly people are suffering from the dementia, which seriously obstructs their independent living and travel. It is a pervasive problem that the demented elderly individuals are easy to get lost or go into danger during alone travel in daily life. Therefore we propose a novel mobile system named \"Canderoid\" to monitor independent outdoor travel of the elderly individuals remotely, with aid from the caretaker. The system is composed mainly of an android terminal (Wanderoid), an MQTT broker, and a platform on caretaker side. In the system, an android terminal named \"Wanderoid\" is implemented on a smartphone to capture the travelling status, using built-in smartphone sensors (i.e. camera with an adhesive fish-eye lens, compass and GPS). The terminal device is a normal smartphone, with a fish-eye lens attached on the camera. The sensor data are transferred to the platform of caretaker after capturing. The data transmission work relies on a message pushing architecture, which deals with mobile IP address changing and enables remote manipulation of the smartphone terminal, by introducing the MQTT broker. Then the caretaker platform can interpret sensor data and real-timely present the travelling status using snapshot taken by the fish-eye camera, street view and map. A reliability test, energy dissipation test and usability test are carried out on the prototype to verify that the system is effective, easy-to-use, reliable and energy-saving, from the viewpoints of both technology and human factors.","PeriodicalId":68697,"journal":{"name":"炎黄地理","volume":"276 1","pages":"648-654"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73233310","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 : 2013-11-01DOI: 10.1109/ICAWST.2013.6765431
K. Amma, Y. Yaguchi, Yuki Niitsuma, T. Matsuzaki, R. Oka
This paper presents a comparative analysis of the color models. It used when identifying human skin in a gesture recognition system. The recognition system was based on time-space continuous dynamic programming (TSCDP). TSCDP performs optimal matching between point trajectories and video images. A point trajectory is a sequential pattern of pixels that can also be a representation of a type of gesture. Human skin can be represented either by RGB-color-based or HSV-color-based imagery. The score for gesture recognition depends on the selection of features used to represent the pixels in the point trajectory. We conducted experiments that compared the two candidate color systems, concluding that HSV-based skin features provide better scores than RGB-based skin features.
{"title":"A comparative study of gesture recognition between RGB and HSV colors using time-space continuous dynamic programming","authors":"K. Amma, Y. Yaguchi, Yuki Niitsuma, T. Matsuzaki, R. Oka","doi":"10.1109/ICAWST.2013.6765431","DOIUrl":"https://doi.org/10.1109/ICAWST.2013.6765431","url":null,"abstract":"This paper presents a comparative analysis of the color models. It used when identifying human skin in a gesture recognition system. The recognition system was based on time-space continuous dynamic programming (TSCDP). TSCDP performs optimal matching between point trajectories and video images. A point trajectory is a sequential pattern of pixels that can also be a representation of a type of gesture. Human skin can be represented either by RGB-color-based or HSV-color-based imagery. The score for gesture recognition depends on the selection of features used to represent the pixels in the point trajectory. We conducted experiments that compared the two candidate color systems, concluding that HSV-based skin features provide better scores than RGB-based skin features.","PeriodicalId":68697,"journal":{"name":"炎黄地理","volume":"67 1","pages":"185-191"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73731468","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 : 2013-11-01DOI: 10.1109/ICAWST.2013.6765441
Shunsuke Wada, Y. Yaguchi, R. Ogata, Y. Watanobe, K. Naruse, R. Oka
To extract temporal variations in the relation between two or more words in a large time-series script, we propose three procedures for adoption by the existing Associated Keyword Space system, as follows. First, we begin the calculations from a previous state. Second, we add a random seed if a new object was present in the previous state. Thrid, we forget those object relations from the previous state that have no affinity with the selected term. We have experimented with this improved algorithm using a large time-series of tweets from Twitter. With this approach, it is possible to check on the volatility of topics.
{"title":"Associated Keyword analysis for temporal data with spatial visualization","authors":"Shunsuke Wada, Y. Yaguchi, R. Ogata, Y. Watanobe, K. Naruse, R. Oka","doi":"10.1109/ICAWST.2013.6765441","DOIUrl":"https://doi.org/10.1109/ICAWST.2013.6765441","url":null,"abstract":"To extract temporal variations in the relation between two or more words in a large time-series script, we propose three procedures for adoption by the existing Associated Keyword Space system, as follows. First, we begin the calculations from a previous state. Second, we add a random seed if a new object was present in the previous state. Thrid, we forget those object relations from the previous state that have no affinity with the selected term. We have experimented with this improved algorithm using a large time-series of tweets from Twitter. With this approach, it is possible to check on the volatility of topics.","PeriodicalId":68697,"journal":{"name":"炎黄地理","volume":"7 1","pages":"243-249"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78453027","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 : 2013-11-01DOI: 10.1109/ICAWST.2013.6765518
Ryota Nagayama, T. Endo, Takenobu Kazuma, A. He
Kinect is a popular edition of depth sensor and is useful for realizing NUI in ubiquitous computing environment. This paper proposes a method for human face direction estimation based on the depth image from depth sensor. Our method works without using color information and is possible to work in dark environment and get better results than traditional methods. This paper describes the basic idea and basic design of our method.
{"title":"A basic study of human face direction estimation using depth sensor","authors":"Ryota Nagayama, T. Endo, Takenobu Kazuma, A. He","doi":"10.1109/ICAWST.2013.6765518","DOIUrl":"https://doi.org/10.1109/ICAWST.2013.6765518","url":null,"abstract":"Kinect is a popular edition of depth sensor and is useful for realizing NUI in ubiquitous computing environment. This paper proposes a method for human face direction estimation based on the depth image from depth sensor. Our method works without using color information and is possible to work in dark environment and get better results than traditional methods. This paper describes the basic idea and basic design of our method.","PeriodicalId":68697,"journal":{"name":"炎黄地理","volume":"24 1","pages":"644-648"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81966328","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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