Pub Date : 2013-12-01DOI: 10.1109/ICICS.2013.6782863
Jinde Zhou, K. Niu, Zhiqiang He, Jiaru Lin
Joint detection is a high complexity module in TD-SCDMA system. This paper analyzes the selection of algorithm, and presents an overview of optimization methods for the selected algorithm based on general purpose processors (GPPs) It includes look-up-able (LUT), Single Instruction Multiple Data (SIMD) and Intel Integrated Performance Primitives (Intel IPP) Library. The results of timing test illustrate that with utilizing these methods, the joint detection module in TD-SCDMA system can achieve huge benefits in real-time performance.
{"title":"GPP-based optimization for joint-detection in TD-SCDMA uplink","authors":"Jinde Zhou, K. Niu, Zhiqiang He, Jiaru Lin","doi":"10.1109/ICICS.2013.6782863","DOIUrl":"https://doi.org/10.1109/ICICS.2013.6782863","url":null,"abstract":"Joint detection is a high complexity module in TD-SCDMA system. This paper analyzes the selection of algorithm, and presents an overview of optimization methods for the selected algorithm based on general purpose processors (GPPs) It includes look-up-able (LUT), Single Instruction Multiple Data (SIMD) and Intel Integrated Performance Primitives (Intel IPP) Library. The results of timing test illustrate that with utilizing these methods, the joint detection module in TD-SCDMA system can achieve huge benefits in real-time performance.","PeriodicalId":184544,"journal":{"name":"2013 9th International Conference on Information, Communications & Signal Processing","volume":"58 36","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131471042","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 : 2013-12-01DOI: 10.1109/ICICS.2013.6782893
Zhibao Li, K. Yiu
The generalized sidelobe canceller (GSC) beamformer is an effective and efficient technique for speech enhancement, whereas the design of beamformer is still a challenge in a reverberant environment, due to the difficulty of room impulse responses (RIRs) estimation. In this paper, we will study the design of GSC beamformer based on the RIRs estimated by image source method, which is a simple but effective method for room acoustics simulation.
{"title":"On the design of GSC beamformer in reverberant environment","authors":"Zhibao Li, K. Yiu","doi":"10.1109/ICICS.2013.6782893","DOIUrl":"https://doi.org/10.1109/ICICS.2013.6782893","url":null,"abstract":"The generalized sidelobe canceller (GSC) beamformer is an effective and efficient technique for speech enhancement, whereas the design of beamformer is still a challenge in a reverberant environment, due to the difficulty of room impulse responses (RIRs) estimation. In this paper, we will study the design of GSC beamformer based on the RIRs estimated by image source method, which is a simple but effective method for room acoustics simulation.","PeriodicalId":184544,"journal":{"name":"2013 9th International Conference on Information, Communications & Signal Processing","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121100362","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 : 2013-12-01DOI: 10.1109/ICICS.2013.6782815
Soni Prattipati, M. Swamy, P. Meher
In the field of image and data compression there is always a need for novel transform coding techniques promising improved reconstruction and reduced computational complexity. The usage of integer adaptation of the popular discrete cosine transform (DCT) with fixed quantization is prevalent in the field of video compression due to its ease of computation and acceptable performance. However, there exist other polynomial-based orthogonal transforms like discrete Tchebichef transform (DTT), which possess valuable properties like energy compaction, but are potentially unexploited in comparison. The influence of specific features, such as the structure and content, of the image on the quality of reconstructed image after decompression is undeniable. This paper aims to harness this aspect and introduces a technique to adapt the quantization performed during compression according to the characteristics of the image block without any additional computational or transmission overhead. The image compression performance of integer DTT and integer DCT, using both variable and fixed quantization, are evaluated and compared.
{"title":"A variable quantization technique for image compression using integer Tchebichef transform","authors":"Soni Prattipati, M. Swamy, P. Meher","doi":"10.1109/ICICS.2013.6782815","DOIUrl":"https://doi.org/10.1109/ICICS.2013.6782815","url":null,"abstract":"In the field of image and data compression there is always a need for novel transform coding techniques promising improved reconstruction and reduced computational complexity. The usage of integer adaptation of the popular discrete cosine transform (DCT) with fixed quantization is prevalent in the field of video compression due to its ease of computation and acceptable performance. However, there exist other polynomial-based orthogonal transforms like discrete Tchebichef transform (DTT), which possess valuable properties like energy compaction, but are potentially unexploited in comparison. The influence of specific features, such as the structure and content, of the image on the quality of reconstructed image after decompression is undeniable. This paper aims to harness this aspect and introduces a technique to adapt the quantization performed during compression according to the characteristics of the image block without any additional computational or transmission overhead. The image compression performance of integer DTT and integer DCT, using both variable and fixed quantization, are evaluated and compared.","PeriodicalId":184544,"journal":{"name":"2013 9th International Conference on Information, Communications & Signal Processing","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121148847","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 : 2013-12-01DOI: 10.1109/ICICS.2013.6782935
Zhiguo Zhang, Z. Fu, S. Chan, Y. Hung, G. Motta, X. Di, B. Biswal
Investigation of the intrinsic brain networks using the resting-state functional magnetic resonance imaging (rs-fMRI) is generally based on the assumption that the functional organization is stationary across the duration of the scan. Hence, the presence and potential of temporal and spatial dynamics of the functional connectivity (FC), which is usually measured by the correlation coefficients between rs-fMRI signals of two regions, are not taken into account in most of the research. Recent studies have shown that the resting-state brain activities are time-varying in nature with substantial dynamic characteristics. However, an effective method for estimating the time-varying FC is lacking, which is mainly due to the difficulty in choosing an appropriate window to localize the time-varying correlation coefficients (TVCC). In this paper, we introduce a novel method for adaptively estimating the TVCC of non-stationary signals and study its application to infer dynamic FC of rs-fMRI data. The proposed method employs a sliding window with adaptive size, which is selected by a local plug-in rule to minimize the mean square error, to estimate the TVCC locally. Simulation results on synthetic data show that the proposed method outperforms the conventional TVCC estimators with a fixed window. Furthermore, the proposed method is used on real rs-fMRI signals, and the results demonstrate that the FC in the resting state are transient and the variability of FCs between different brain regions differs substantially.
{"title":"Adaptive window selection in estimating dynamic functional connectivity of resting-state fMRI","authors":"Zhiguo Zhang, Z. Fu, S. Chan, Y. Hung, G. Motta, X. Di, B. Biswal","doi":"10.1109/ICICS.2013.6782935","DOIUrl":"https://doi.org/10.1109/ICICS.2013.6782935","url":null,"abstract":"Investigation of the intrinsic brain networks using the resting-state functional magnetic resonance imaging (rs-fMRI) is generally based on the assumption that the functional organization is stationary across the duration of the scan. Hence, the presence and potential of temporal and spatial dynamics of the functional connectivity (FC), which is usually measured by the correlation coefficients between rs-fMRI signals of two regions, are not taken into account in most of the research. Recent studies have shown that the resting-state brain activities are time-varying in nature with substantial dynamic characteristics. However, an effective method for estimating the time-varying FC is lacking, which is mainly due to the difficulty in choosing an appropriate window to localize the time-varying correlation coefficients (TVCC). In this paper, we introduce a novel method for adaptively estimating the TVCC of non-stationary signals and study its application to infer dynamic FC of rs-fMRI data. The proposed method employs a sliding window with adaptive size, which is selected by a local plug-in rule to minimize the mean square error, to estimate the TVCC locally. Simulation results on synthetic data show that the proposed method outperforms the conventional TVCC estimators with a fixed window. Furthermore, the proposed method is used on real rs-fMRI signals, and the results demonstrate that the FC in the resting state are transient and the variability of FCs between different brain regions differs substantially.","PeriodicalId":184544,"journal":{"name":"2013 9th International Conference on Information, Communications & Signal Processing","volume":"317 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116364752","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 : 2013-12-01DOI: 10.1109/ICICS.2013.6782919
Z. Yu, Z. Gu, W. Ser, M. Er
Convex optimization plays an important role in science and engineering research. In many signal processing applications, convex optimization is one of the critical mathematical tools. For example, robust adaptive beamformer is always formulated as quadratic optimization problem with some linear or quadratic constraints. In this paper, we review some of the progresses of our group on using Constraints on Magnitude Response (CMRs) for robust adaptive beamforming. Some mathematical skills on how to transform the beamformer with CMRs into convex programming problems are introduced. With proper convex formulations, the proposed beamformers posses simple implementation, flexible performance control, as well as significant SINR enhancement.
{"title":"Convex optimization and its applications in robust adaptive beamforming","authors":"Z. Yu, Z. Gu, W. Ser, M. Er","doi":"10.1109/ICICS.2013.6782919","DOIUrl":"https://doi.org/10.1109/ICICS.2013.6782919","url":null,"abstract":"Convex optimization plays an important role in science and engineering research. In many signal processing applications, convex optimization is one of the critical mathematical tools. For example, robust adaptive beamformer is always formulated as quadratic optimization problem with some linear or quadratic constraints. In this paper, we review some of the progresses of our group on using Constraints on Magnitude Response (CMRs) for robust adaptive beamforming. Some mathematical skills on how to transform the beamformer with CMRs into convex programming problems are introduced. With proper convex formulations, the proposed beamformers posses simple implementation, flexible performance control, as well as significant SINR enhancement.","PeriodicalId":184544,"journal":{"name":"2013 9th International Conference on Information, Communications & Signal Processing","volume":"156 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126897159","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 : 2013-12-01DOI: 10.1109/ICICS.2013.6782952
C. Aung, P. Chong, Xinxing Zhao, Anthony Chua Yong Pheng, Tiah Khoon Ng, See Xinyou, Kok Siong Lai
Routing protocols in mobile ad hoc network (MANET) are designed to provide data delivery in frequently changing network topology. Existing MANET routing protocols set up an end-to-end path between source and destination prior to data forwarding. Maintaining a connected path before data delivery may not work well when the network is partially disconnected or disrupted. This paper discusses Opportunistic Multi-link Delay Tolerant Routing (OMDTR) which is designed to provide data delivery in the network where fully connected network topology is not guaranteed. OMDTR learns the local network connectivity and deliver the data if there is connectivity within two-hop. OMDTR exploits the robustness of flooding-based routing when there is no local network connectivity. Performance measurements of OMDTR protocol show that OMDTR increases the data delivery compared to pure flooding-based routing and pure end-to-end routing in mobile multi-hop wireless network with relatively high and low network density.
{"title":"Hybrid routing in lossy link mobile ad hoc networks","authors":"C. Aung, P. Chong, Xinxing Zhao, Anthony Chua Yong Pheng, Tiah Khoon Ng, See Xinyou, Kok Siong Lai","doi":"10.1109/ICICS.2013.6782952","DOIUrl":"https://doi.org/10.1109/ICICS.2013.6782952","url":null,"abstract":"Routing protocols in mobile ad hoc network (MANET) are designed to provide data delivery in frequently changing network topology. Existing MANET routing protocols set up an end-to-end path between source and destination prior to data forwarding. Maintaining a connected path before data delivery may not work well when the network is partially disconnected or disrupted. This paper discusses Opportunistic Multi-link Delay Tolerant Routing (OMDTR) which is designed to provide data delivery in the network where fully connected network topology is not guaranteed. OMDTR learns the local network connectivity and deliver the data if there is connectivity within two-hop. OMDTR exploits the robustness of flooding-based routing when there is no local network connectivity. Performance measurements of OMDTR protocol show that OMDTR increases the data delivery compared to pure flooding-based routing and pure end-to-end routing in mobile multi-hop wireless network with relatively high and low network density.","PeriodicalId":184544,"journal":{"name":"2013 9th International Conference on Information, Communications & Signal Processing","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125730032","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 : 2013-12-01DOI: 10.1109/ICICS.2013.6782903
Jiajia Chen
Future broadband access networks are expected to cover large service areas while fulfilling high bandwidth request on a per-user basis. The rapidly increasing traffic demand is also driven by the growing popularity of mobile data services, which is placing high-capacity requirement on the backhaul. Due to advances in wavelength division multiplexing (WDM) technology, WDM based architectures have been considered as promising candidates for next generation optical access, such as WDM passive optical network (PON), and hybrid WDM/time division multiplexing (TDM) PON. Meanwhile, resilience technique will play a more prominent role in emerging access networks due to their significantly increased capacity and coverage compared to the current deployments. Therefore, efficient resiliency mechanisms are highly required to enable uninterrupted network operation where a certain level of reliability performance can be guaranteed. In this work, we first evaluate reliability performance of each segment of next generation optical access networks and then identify the most important part for protection. A particular attention is paid to the reduction of failure impact.
{"title":"Efficient resiliency mechanisms for next generation passive optical networks","authors":"Jiajia Chen","doi":"10.1109/ICICS.2013.6782903","DOIUrl":"https://doi.org/10.1109/ICICS.2013.6782903","url":null,"abstract":"Future broadband access networks are expected to cover large service areas while fulfilling high bandwidth request on a per-user basis. The rapidly increasing traffic demand is also driven by the growing popularity of mobile data services, which is placing high-capacity requirement on the backhaul. Due to advances in wavelength division multiplexing (WDM) technology, WDM based architectures have been considered as promising candidates for next generation optical access, such as WDM passive optical network (PON), and hybrid WDM/time division multiplexing (TDM) PON. Meanwhile, resilience technique will play a more prominent role in emerging access networks due to their significantly increased capacity and coverage compared to the current deployments. Therefore, efficient resiliency mechanisms are highly required to enable uninterrupted network operation where a certain level of reliability performance can be guaranteed. In this work, we first evaluate reliability performance of each segment of next generation optical access networks and then identify the most important part for protection. A particular attention is paid to the reduction of failure impact.","PeriodicalId":184544,"journal":{"name":"2013 9th International Conference on Information, Communications & Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128769363","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 : 2013-12-01DOI: 10.1109/ICICS.2013.6782887
Feng-Jie Yeh, B. Su
In this paper, two subspace (SS) based blind channel estimation methods for cyclic prefixing (CP) based multi-input and multi-output (MIMO) OFDM systems are proposed. The first one generalized a previously reported single-input and single-output (SISO) based method into the MIMO case. The second one is an extension to the first one by smartly introducing additional columns per received block in the channel matrix equation. These two SS methods require few received blocks to satisfy the persistency of excitation (POE) criterion and do not require the number of receive antennas to be greater than that of transmit antennas. Simulation results demonstrate the capability of the proposed methods to perform blind channel estimation using few received blocks. Compared to multiple existing SS methods, significant performance improvements of the proposed methods are observed given the same amount of available received data.
针对基于循环前缀(CP)的多输入多输出OFDM系统，提出了两种基于子空间(SS)的盲信道估计方法。第一个将先前报道的基于单输入单输出(SISO)的方法推广到MIMO案例中。第二个是对第一个的扩展，它巧妙地在通道矩阵方程中为每个接收块引入了额外的列。这两种SS方法只需较少的接收块即可满足POE (persistence of excitation)标准，并且不要求接收天线的数量大于发射天线的数量。仿真结果表明，该方法能够利用较少的接收块进行盲信道估计。与现有的多种SS方法相比，在接收到的可用数据量相同的情况下，所提出的方法的性能得到了显著提高。
{"title":"Subspace-based blind channel estimation for cyclic prefixed MIMO-OFDM systems using few received blocks","authors":"Feng-Jie Yeh, B. Su","doi":"10.1109/ICICS.2013.6782887","DOIUrl":"https://doi.org/10.1109/ICICS.2013.6782887","url":null,"abstract":"In this paper, two subspace (SS) based blind channel estimation methods for cyclic prefixing (CP) based multi-input and multi-output (MIMO) OFDM systems are proposed. The first one generalized a previously reported single-input and single-output (SISO) based method into the MIMO case. The second one is an extension to the first one by smartly introducing additional columns per received block in the channel matrix equation. These two SS methods require few received blocks to satisfy the persistency of excitation (POE) criterion and do not require the number of receive antennas to be greater than that of transmit antennas. Simulation results demonstrate the capability of the proposed methods to perform blind channel estimation using few received blocks. Compared to multiple existing SS methods, significant performance improvements of the proposed methods are observed given the same amount of available received data.","PeriodicalId":184544,"journal":{"name":"2013 9th International Conference on Information, Communications & Signal Processing","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133610377","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 : 2013-12-01DOI: 10.1109/ICICS.2013.6782937
Qi Cai, Li Song
Integrating efficient visual perceptual cues into standardized video coding framework can improve performance significantly. In this paper we propose to enhance AVS encoder by using the latest just noticeable distortion (JND) model to adjust DCT coefficients of prediction residues in a content adaptive way. To better modeling JND profile in AVS integer DCT domain, we further derive the JND mapping from the classical DCT domain to AVS Integer DCT domain. The experiment shows that the proposed algorithm can reduce the bitrate by about 13% on average, compared to the AVS standard encoder at similar visual quality.
{"title":"AVS encoding optimization with perceptual just noticeable distortion model","authors":"Qi Cai, Li Song","doi":"10.1109/ICICS.2013.6782937","DOIUrl":"https://doi.org/10.1109/ICICS.2013.6782937","url":null,"abstract":"Integrating efficient visual perceptual cues into standardized video coding framework can improve performance significantly. In this paper we propose to enhance AVS encoder by using the latest just noticeable distortion (JND) model to adjust DCT coefficients of prediction residues in a content adaptive way. To better modeling JND profile in AVS integer DCT domain, we further derive the JND mapping from the classical DCT domain to AVS Integer DCT domain. The experiment shows that the proposed algorithm can reduce the bitrate by about 13% on average, compared to the AVS standard encoder at similar visual quality.","PeriodicalId":184544,"journal":{"name":"2013 9th International Conference on Information, Communications & Signal Processing","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116944866","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 : 2013-12-01DOI: 10.1109/ICICS.2013.6782782
Ganglong Duan, Long Wei, Jianren Wang, Hongqi Wang
Adaptive Weighted Multi-Element Collaborative Representation for Visual Classification is proposed in this paper. To address the weak discriminative power of SRC (sparse representation classifier) method, we propose using multiple elements to represent each element and construct multiple collaborative representation for classification. To reflect the different element with different importance and discriminative power, we present an adaptive weighted residuals method to linearly combine different element representations for classification. Experimental results demonstrate the effectiveness and better classification accuracy of our proposed method.
{"title":"Adaptive Weighted Multi-Element Collaborative Representation for Visual Classification","authors":"Ganglong Duan, Long Wei, Jianren Wang, Hongqi Wang","doi":"10.1109/ICICS.2013.6782782","DOIUrl":"https://doi.org/10.1109/ICICS.2013.6782782","url":null,"abstract":"Adaptive Weighted Multi-Element Collaborative Representation for Visual Classification is proposed in this paper. To address the weak discriminative power of SRC (sparse representation classifier) method, we propose using multiple elements to represent each element and construct multiple collaborative representation for classification. To reflect the different element with different importance and discriminative power, we present an adaptive weighted residuals method to linearly combine different element representations for classification. Experimental results demonstrate the effectiveness and better classification accuracy of our proposed method.","PeriodicalId":184544,"journal":{"name":"2013 9th International Conference on Information, Communications & Signal Processing","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134268419","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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