Pub Date : 2013-08-01DOI: 10.1109/ICINFA.2013.6720450
Xuejun Zhang, Z. Lv
The crane and ground scheduling is the most important part of the inventory management. In the inventory management process if there are two or more warehouses and two or more cranes in each house, it becomes very difficult to obtain an optimal or near optimal solution under consideration of restrictions concerning ground logistic control and crane interference as well as many restrictions for Inventory optimization. In this paper, we first propose a scheduling problem taking account of multiple sub-warehouses and multiple cranes. In order to study the problem, we constructed and validated a system prototype using Petri net model and then propose a two stage hybrid scheduling algorithm, which finds a sub-optimal solution by starting from a feasible solution and solves the problem in a finite time. The applied result shows that the dynamic scheduling system plays an important role in the inventory management and the algorithm achieves satisfactory result.
{"title":"Research and application of dynamic scheduling system of coil yard","authors":"Xuejun Zhang, Z. Lv","doi":"10.1109/ICINFA.2013.6720450","DOIUrl":"https://doi.org/10.1109/ICINFA.2013.6720450","url":null,"abstract":"The crane and ground scheduling is the most important part of the inventory management. In the inventory management process if there are two or more warehouses and two or more cranes in each house, it becomes very difficult to obtain an optimal or near optimal solution under consideration of restrictions concerning ground logistic control and crane interference as well as many restrictions for Inventory optimization. In this paper, we first propose a scheduling problem taking account of multiple sub-warehouses and multiple cranes. In order to study the problem, we constructed and validated a system prototype using Petri net model and then propose a two stage hybrid scheduling algorithm, which finds a sub-optimal solution by starting from a feasible solution and solves the problem in a finite time. The applied result shows that the dynamic scheduling system plays an important role in the inventory management and the algorithm achieves satisfactory result.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121458565","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 : 2013-08-01DOI: 10.1109/ICINFA.2013.6720314
Lei Zhao, Guoqing Xu, Weimin Li, Taimoor Zahid, Zhibin Song
As is known to all, an accurate on-line estimation of the battery capacity is important for forecasting the EV driving range. But because of the different driving environment and the property of the battery, it is hard to estimate the capacity of the battery pack. This paper presents an unscented Kalman filtering method to estimate the state of charge of LiFePO4 battery pack. Five comparison experiments with different open circuit voltage curves shows that the unscented Kalman filter has a better performance than extended kalman filter.
{"title":"LiFePO4 battery pack capacity estimation for electric vehicles based on unscented Kalman filter","authors":"Lei Zhao, Guoqing Xu, Weimin Li, Taimoor Zahid, Zhibin Song","doi":"10.1109/ICINFA.2013.6720314","DOIUrl":"https://doi.org/10.1109/ICINFA.2013.6720314","url":null,"abstract":"As is known to all, an accurate on-line estimation of the battery capacity is important for forecasting the EV driving range. But because of the different driving environment and the property of the battery, it is hard to estimate the capacity of the battery pack. This paper presents an unscented Kalman filtering method to estimate the state of charge of LiFePO4 battery pack. Five comparison experiments with different open circuit voltage curves shows that the unscented Kalman filter has a better performance than extended kalman filter.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128996655","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 : 2013-08-01DOI: 10.1109/ICINFA.2013.6720358
Y. Mei, Yuqing He
Spin image is a good feature descriptor of the 3D surface, thus it has been extensively used in many applications such as SLAM of mobile robot and cooperation of heterogeneous robots. However, due to the huge computational burden, it is difficult to be used in real time applications. Thus, in order to improve the efficiency and accuracy of spin image based point clouds registration algorithm, a fast registration algorithm is proposed in this paper based on low-dimensional feature space composed of curvature, the Tsallis entropy of the spin image and laser reflection intensity. The main contribution of this paper is that through constructing the low dimensional feature space, the correspondence searching procedure can be divided into two steps: firstly, select similar key points in the proposed low dimensional feature space using k-d tree; then spin image feature is used to search for correspondences among a very limited amount of point candidates. Finally, experiments with respect to a man made surroundings are conducted and the results show the feasibility and validity of the new proposed algorithm. Index Terms - Point cloud map registration, spin image, k-d tree, features description.
{"title":"A new spin-image based 3D Map registration algorithm using low-dimensional feature space","authors":"Y. Mei, Yuqing He","doi":"10.1109/ICINFA.2013.6720358","DOIUrl":"https://doi.org/10.1109/ICINFA.2013.6720358","url":null,"abstract":"Spin image is a good feature descriptor of the 3D surface, thus it has been extensively used in many applications such as SLAM of mobile robot and cooperation of heterogeneous robots. However, due to the huge computational burden, it is difficult to be used in real time applications. Thus, in order to improve the efficiency and accuracy of spin image based point clouds registration algorithm, a fast registration algorithm is proposed in this paper based on low-dimensional feature space composed of curvature, the Tsallis entropy of the spin image and laser reflection intensity. The main contribution of this paper is that through constructing the low dimensional feature space, the correspondence searching procedure can be divided into two steps: firstly, select similar key points in the proposed low dimensional feature space using k-d tree; then spin image feature is used to search for correspondences among a very limited amount of point candidates. Finally, experiments with respect to a man made surroundings are conducted and the results show the feasibility and validity of the new proposed algorithm. Index Terms - Point cloud map registration, spin image, k-d tree, features description.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128417138","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 : 2013-08-01DOI: 10.1109/ICINFA.2013.6720425
Zhongtao Qiao, Fengqi Gao, Qichang Li, Guanglong Wang
For equipment's PHM (Prognostics and Health Management), it is important to acquire the environment information of temperature, humidity, pressure, vibration, impact acceleration and magnetic field intensity, etc. These relevant parameters which are used to predict failure progression will accumulate for years of periods. This paper designed a low power consumption system with characteristics of long work time. The system consists of the embedded ARM microprocessor, microelectromechanical systems (MEMS) sensors, FLASH and interface circuits. Furthermore, for low power consumption purpose, a dynamic power management strategy is designed carefully. So when equipment's storage and transportation status is changed or time cycle expires, the data sampled by sensors can be stored on board memory temporarily and can be transmitted to host computer by wireless communication module afterward. The system with another characteristic of small size is suitable for limited work space.
对于设备的PHM (Prognostics and Health Management)来说，获取设备的温度、湿度、压力、振动、冲击加速度和磁场强度等环境信息是非常重要的。这些用于预测故障进展的相关参数将累积数年。本文设计了一种具有工作时间长的低功耗系统。该系统由嵌入式ARM微处理器、微机电系统(MEMS)传感器、FLASH和接口电路组成。此外，以低功耗为目标，精心设计了动态电源管理策略。因此，当设备的储运状态发生变化或时间周期到期时，传感器采集的数据可以暂时存储在车载存储器中，之后通过无线通信模块传输给上位机。该系统的另一个特点是体积小，适用于有限的工作空间。
{"title":"Design of data acquisition and transmission system based on MEMS sensors","authors":"Zhongtao Qiao, Fengqi Gao, Qichang Li, Guanglong Wang","doi":"10.1109/ICINFA.2013.6720425","DOIUrl":"https://doi.org/10.1109/ICINFA.2013.6720425","url":null,"abstract":"For equipment's PHM (Prognostics and Health Management), it is important to acquire the environment information of temperature, humidity, pressure, vibration, impact acceleration and magnetic field intensity, etc. These relevant parameters which are used to predict failure progression will accumulate for years of periods. This paper designed a low power consumption system with characteristics of long work time. The system consists of the embedded ARM microprocessor, microelectromechanical systems (MEMS) sensors, FLASH and interface circuits. Furthermore, for low power consumption purpose, a dynamic power management strategy is designed carefully. So when equipment's storage and transportation status is changed or time cycle expires, the data sampled by sensors can be stored on board memory temporarily and can be transmitted to host computer by wireless communication module afterward. The system with another characteristic of small size is suitable for limited work space.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128425180","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 : 2013-08-01DOI: 10.1109/ICINFA.2013.6720348
Shangshuai Jia, Qiang Li
The experimental set-up of a disc brake system are established. The LuGre friction model is adopted to determine the friction force between the disc and the pad. The nonlinear dynamic behavior of the brake pad with non-internal condition is discussed, also the shrill frictional noise signals are investigated. The study shows that with the decrease of disc velocity, the tangential motion of the pad loses its stability, then the pure slip and incomplete stick-slip self-excited vibrations are resulted. The low and high frequency squeal noise are obtained experimentally at the same time. With proper parameters, a chaos phenomenon also can be observed in the tangential motion by the numerical simulation, the experimental test findings are used to verify the numerical simulation results.
{"title":"Friction-induced vibration and noise on a brake system","authors":"Shangshuai Jia, Qiang Li","doi":"10.1109/ICINFA.2013.6720348","DOIUrl":"https://doi.org/10.1109/ICINFA.2013.6720348","url":null,"abstract":"The experimental set-up of a disc brake system are established. The LuGre friction model is adopted to determine the friction force between the disc and the pad. The nonlinear dynamic behavior of the brake pad with non-internal condition is discussed, also the shrill frictional noise signals are investigated. The study shows that with the decrease of disc velocity, the tangential motion of the pad loses its stability, then the pure slip and incomplete stick-slip self-excited vibrations are resulted. The low and high frequency squeal noise are obtained experimentally at the same time. With proper parameters, a chaos phenomenon also can be observed in the tangential motion by the numerical simulation, the experimental test findings are used to verify the numerical simulation results.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129110878","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 : 2013-08-01DOI: 10.1109/ICINFA.2013.6720420
Jie Zhao, Qingming Hou, Hongzhe Jin, Jihong Yan, Yanhe Zhu, Ge Li
In this paper, a new actuator system of the ducted-fan Uninhabited Aerial Vehicle(DFUAV) is presented. The actuator system consists of four rotary cylinders which are symmetrically installed at bottom of inside duct. The force used for attitude stabilization is generated by the interaction between the surface of rotary cylinder and the downwash, which is known as Magnus effect. In this paper, the characteristics analysis of the presented DFUAV was simulated by Computational Fluid Dynamics (CFD) method, the controller based on the cascaded system modeling and the parameterization of thrust of DFUAV is designed and the robustness analysis is conducted.
{"title":"Aerodynamic characteristics analysis and robustness analysis of ducted-fan UAV based on Magnus effect","authors":"Jie Zhao, Qingming Hou, Hongzhe Jin, Jihong Yan, Yanhe Zhu, Ge Li","doi":"10.1109/ICINFA.2013.6720420","DOIUrl":"https://doi.org/10.1109/ICINFA.2013.6720420","url":null,"abstract":"In this paper, a new actuator system of the ducted-fan Uninhabited Aerial Vehicle(DFUAV) is presented. The actuator system consists of four rotary cylinders which are symmetrically installed at bottom of inside duct. The force used for attitude stabilization is generated by the interaction between the surface of rotary cylinder and the downwash, which is known as Magnus effect. In this paper, the characteristics analysis of the presented DFUAV was simulated by Computational Fluid Dynamics (CFD) method, the controller based on the cascaded system modeling and the parameterization of thrust of DFUAV is designed and the robustness analysis is conducted.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"328 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116961380","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 : 2013-08-01DOI: 10.1109/ICINFA.2013.6720436
Mao-Hu Zhu, Nan-Feng Jie, Tianzi Jiang
In this paper, a pattern classification task was regarded as a sample selection problem where a sparse subset of sample from the labeled training set was chosen. We proposed an adaptive learning algorithm utilizing the least square function to address this problem. Using these selected samples, which we call informative vectors, a classifier capable of recognizing the test samples was established. This novel algorithm is a combination of searching strategies that, not only based on forward searching steps, but adaptively takes backward steps to correct the errors introduced by earlier forward steps. We experimentally demonstrated on face image and text dataset that classifier using such informative vectors outperformed other methods.
{"title":"Adaptive learning algorithm for pattern classification","authors":"Mao-Hu Zhu, Nan-Feng Jie, Tianzi Jiang","doi":"10.1109/ICINFA.2013.6720436","DOIUrl":"https://doi.org/10.1109/ICINFA.2013.6720436","url":null,"abstract":"In this paper, a pattern classification task was regarded as a sample selection problem where a sparse subset of sample from the labeled training set was chosen. We proposed an adaptive learning algorithm utilizing the least square function to address this problem. Using these selected samples, which we call informative vectors, a classifier capable of recognizing the test samples was established. This novel algorithm is a combination of searching strategies that, not only based on forward searching steps, but adaptively takes backward steps to correct the errors introduced by earlier forward steps. We experimentally demonstrated on face image and text dataset that classifier using such informative vectors outperformed other methods.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116665929","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 : 2013-08-01DOI: 10.1109/ICINFA.2013.6720381
Faxiang Miao, Guanghui Zhou, Zhongdong Xiao
Cutter is an important component part of the flexible manufacturing system, so the selection of cutters would have direct effect on the machining efficiency and production cost to the whole system. In this paper, a mathematical model for cutter allocation of CNC machining center in FMS is presented, in which the optimization objective is to minimize the total cost of production. Furthermore, the factors of job delivery time and parallel processing of working steps are included in the model. Based on the model, an improved adaptive genetic algorithm is designed and developed to solve the problem to accelerate the speed of the algorithm's convergence and improve the solution efficiency. Finally, the results of the example validations indicate the correctness and effectiveness of the model and the algorithm. This research provides a suitable way for the cutter allocation problem of flexible manufacturing system.
{"title":"Improved adaptive genetic algorithm for cutter allocation problem of CNC in FMS","authors":"Faxiang Miao, Guanghui Zhou, Zhongdong Xiao","doi":"10.1109/ICINFA.2013.6720381","DOIUrl":"https://doi.org/10.1109/ICINFA.2013.6720381","url":null,"abstract":"Cutter is an important component part of the flexible manufacturing system, so the selection of cutters would have direct effect on the machining efficiency and production cost to the whole system. In this paper, a mathematical model for cutter allocation of CNC machining center in FMS is presented, in which the optimization objective is to minimize the total cost of production. Furthermore, the factors of job delivery time and parallel processing of working steps are included in the model. Based on the model, an improved adaptive genetic algorithm is designed and developed to solve the problem to accelerate the speed of the algorithm's convergence and improve the solution efficiency. Finally, the results of the example validations indicate the correctness and effectiveness of the model and the algorithm. This research provides a suitable way for the cutter allocation problem of flexible manufacturing system.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117043989","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}
Bone milling is one of the most common operations in various kinds of orthopedical surgeries, such as laminectomy surgery. For safety issue and efficacy, it is very important to recognize the states in milling operation. In this paper, an approach to recognize the states of bone milling is proposed, which identify the cortical tissue layer and cancellous tissue layer. Hilbert-Huang Transform (HHT) based on Empirical Mode Decomposition (EMD) is used to analysis and extract the features of the interactive force in milling operation. The instantaneous amplitude of the Intrinsic Mode Functions (IMF) are combined by means of linear weighting method to obtain one comprehensive evaluation index. The feature vector of the index consists of average amplitude, kurtosis, crest factor and average remaining of EMD. With the feature vector, states of cortical and cancellous layer in milling process are recognized based on Support Vector Machine (SVM). Finally, the milling experiment with pig scapula is performed to show the effectiveness of the proposed approach.
{"title":"Hilbert-Huang Transform based state recognition of bone milling with force sensing","authors":"Zhen Deng, Hong Zhang, Baoqiang Guo, Haiyang Jin, Peng Zhang, Ying Hu, Jianwei Zhang","doi":"10.1109/ICINFA.2013.6720428","DOIUrl":"https://doi.org/10.1109/ICINFA.2013.6720428","url":null,"abstract":"Bone milling is one of the most common operations in various kinds of orthopedical surgeries, such as laminectomy surgery. For safety issue and efficacy, it is very important to recognize the states in milling operation. In this paper, an approach to recognize the states of bone milling is proposed, which identify the cortical tissue layer and cancellous tissue layer. Hilbert-Huang Transform (HHT) based on Empirical Mode Decomposition (EMD) is used to analysis and extract the features of the interactive force in milling operation. The instantaneous amplitude of the Intrinsic Mode Functions (IMF) are combined by means of linear weighting method to obtain one comprehensive evaluation index. The feature vector of the index consists of average amplitude, kurtosis, crest factor and average remaining of EMD. With the feature vector, states of cortical and cancellous layer in milling process are recognized based on Support Vector Machine (SVM). Finally, the milling experiment with pig scapula is performed to show the effectiveness of the proposed approach.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127085005","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 : 2013-08-01DOI: 10.1109/ICINFA.2013.6720317
Hailong Liu, Bo Wang, Z. Zhou, Dafu Pan
In the azimuth speed control of mobile satcom flat antenna (AMSFA), the control performance is influenced by the elevation angle. This problem is difficult to overcome by the traditional PID algorithm or the Fuzzy PID algorithm. This paper studied the active disturbance rejection controller (ADRC) for the AMSFA. To show the advantage of the ADRC algorithm, the simulation experiments of step response, tracking and disturbance were made in the environment of MATLAB/Simulink. The results demonstrate that the proposed algorithm not only has a faster response and a higher accuracy than the traditional PID and the fuzzy PID, but also can suppress the high frequency disturbance effectively.
{"title":"An active disturbance rejection controller for azimuth speed control of mobile satcom flat antenna","authors":"Hailong Liu, Bo Wang, Z. Zhou, Dafu Pan","doi":"10.1109/ICINFA.2013.6720317","DOIUrl":"https://doi.org/10.1109/ICINFA.2013.6720317","url":null,"abstract":"In the azimuth speed control of mobile satcom flat antenna (AMSFA), the control performance is influenced by the elevation angle. This problem is difficult to overcome by the traditional PID algorithm or the Fuzzy PID algorithm. This paper studied the active disturbance rejection controller (ADRC) for the AMSFA. To show the advantage of the ADRC algorithm, the simulation experiments of step response, tracking and disturbance were made in the environment of MATLAB/Simulink. The results demonstrate that the proposed algorithm not only has a faster response and a higher accuracy than the traditional PID and the fuzzy PID, but also can suppress the high frequency disturbance effectively.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125919202","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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