Pub Date : 2013-12-02DOI: 10.1109/ICITEED.2013.6676246
Ivanna K. Timotius, Iwan Setyawan
Selecting the appropriate features is essential in building a good classifier. This paper aims to use the approach of estimating the arithmetic means of accuracies (ameans) in selecting the features used in a face-based gender classification. In a face-based gender classification, there are many pixels of the input image that may not aid the classification process, such as those belonging to the background. The experiments show that this approach outperforms the approach based on mean difference especially on the data having relatively high variance by up to 2.14%. Compared to the classifier which does not use any feature selection approach, implementing the feature selection approach based on ameans estimation in a gender classification problem increases the accuracy by up to 7.86%. The experiments also show that the face-based gender classifications rely on the presence of long hair on subjects in the images to make their decision.
{"title":"Using estimated arithmetic means of accuracies to select features for face-based gender classification","authors":"Ivanna K. Timotius, Iwan Setyawan","doi":"10.1109/ICITEED.2013.6676246","DOIUrl":"https://doi.org/10.1109/ICITEED.2013.6676246","url":null,"abstract":"Selecting the appropriate features is essential in building a good classifier. This paper aims to use the approach of estimating the arithmetic means of accuracies (ameans) in selecting the features used in a face-based gender classification. In a face-based gender classification, there are many pixels of the input image that may not aid the classification process, such as those belonging to the background. The experiments show that this approach outperforms the approach based on mean difference especially on the data having relatively high variance by up to 2.14%. Compared to the classifier which does not use any feature selection approach, implementing the feature selection approach based on ameans estimation in a gender classification problem increases the accuracy by up to 7.86%. The experiments also show that the face-based gender classifications rely on the presence of long hair on subjects in the images to make their decision.","PeriodicalId":204082,"journal":{"name":"2013 International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114655206","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 : 2013-12-02DOI: 10.1109/ICITEED.2013.6676245
Catur Supriyanto, N. Yusof, Bowo Nurhadiono, Sukardi
This paper proposes a two-level feature selection to improves Naïve Bayes with kernel density estimation. The performance of the proposed feature selection is evaluated on question item set based on Bloom's cognitive levels. This two-level feature selection contains of filter and wrapper based feature selection. This paper uses chi square and information gain as the filter based feature selection and forward feature selection and backward feature elimination as the wrapper based feature selection. The result shows that the two-level feature selection improves the Naïve Bayes with kernel density estimation. The combination of chi square and backward feature elimination give more optimal quality than the other combination.
{"title":"Two-level feature selection for naive bayes with kernel density estimation in question classification based on Bloom's cognitive levels","authors":"Catur Supriyanto, N. Yusof, Bowo Nurhadiono, Sukardi","doi":"10.1109/ICITEED.2013.6676245","DOIUrl":"https://doi.org/10.1109/ICITEED.2013.6676245","url":null,"abstract":"This paper proposes a two-level feature selection to improves Naïve Bayes with kernel density estimation. The performance of the proposed feature selection is evaluated on question item set based on Bloom's cognitive levels. This two-level feature selection contains of filter and wrapper based feature selection. This paper uses chi square and information gain as the filter based feature selection and forward feature selection and backward feature elimination as the wrapper based feature selection. The result shows that the two-level feature selection improves the Naïve Bayes with kernel density estimation. The combination of chi square and backward feature elimination give more optimal quality than the other combination.","PeriodicalId":204082,"journal":{"name":"2013 International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126535615","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 : 2013-12-02DOI: 10.1109/ICITEED.2013.6676214
Ratnasari Nur Rohmah, A. Susanto, I. Soesanti, Maesadji Tjokronagoro
This paper presents research on lung tuberculosis (TB) identification by using computer. This research was attempt to reduce patient waiting time in receiving X-ray diagnosis result on lung TB disease, due to mismatch ratio of radiologic experts to the number of patient, especially from remote areas in Indonesia. We used textural features calculated by computer to be used as descriptor in classifying image as TB or non-TB. We used statistical features of image histogram by calculates five features: mean, standar deviation (std), skewness, kurtosis, and entropy. These features were calculated from ROI images using pre defined ROI shape from thresholding method. Features calculated was then reduced down to one principal feature using Principal Componen Analysis (PCA) method. Finally, we used Mahalanobis distance classifier as classifier method based on one principal feature as descriptor. This research results show that it was possible to classify TB and non-TB image based on statistical feature on image histogram.
{"title":"Computer Aided Diagnosis for lung tuberculosis identification based on thoracic X-ray","authors":"Ratnasari Nur Rohmah, A. Susanto, I. Soesanti, Maesadji Tjokronagoro","doi":"10.1109/ICITEED.2013.6676214","DOIUrl":"https://doi.org/10.1109/ICITEED.2013.6676214","url":null,"abstract":"This paper presents research on lung tuberculosis (TB) identification by using computer. This research was attempt to reduce patient waiting time in receiving X-ray diagnosis result on lung TB disease, due to mismatch ratio of radiologic experts to the number of patient, especially from remote areas in Indonesia. We used textural features calculated by computer to be used as descriptor in classifying image as TB or non-TB. We used statistical features of image histogram by calculates five features: mean, standar deviation (std), skewness, kurtosis, and entropy. These features were calculated from ROI images using pre defined ROI shape from thresholding method. Features calculated was then reduced down to one principal feature using Principal Componen Analysis (PCA) method. Finally, we used Mahalanobis distance classifier as classifier method based on one principal feature as descriptor. This research results show that it was possible to classify TB and non-TB image based on statistical feature on image histogram.","PeriodicalId":204082,"journal":{"name":"2013 International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120947884","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 : 2013-12-02DOI: 10.1109/ICITEED.2013.6676256
A. Setyono, S. Novianto
Multimedia files such as image, audio, and video are in general very large in size. The limitations of the current mobile communications technology with respect to media storage and bandwidth make transmission of large-size multimedia files very difficult. In this paper, we explore the use of compression technique along with video coding for designing a video transmission framework which can be applied in mobile communication networks such as GPRS or UMTS which have limited bandwidth. We develop applications for video transmission on a mobile client-server system using streaming technique. We present the simulation and experiment results of the video streaming process implemented in a peer-to-peer environment using video coding with different protocols such as HTTP, RTP and RSTP. The proposed framework is then applied to develop a mobile telemedicine system.
{"title":"Study and design of the video for resource limited mobile communication","authors":"A. Setyono, S. Novianto","doi":"10.1109/ICITEED.2013.6676256","DOIUrl":"https://doi.org/10.1109/ICITEED.2013.6676256","url":null,"abstract":"Multimedia files such as image, audio, and video are in general very large in size. The limitations of the current mobile communications technology with respect to media storage and bandwidth make transmission of large-size multimedia files very difficult. In this paper, we explore the use of compression technique along with video coding for designing a video transmission framework which can be applied in mobile communication networks such as GPRS or UMTS which have limited bandwidth. We develop applications for video transmission on a mobile client-server system using streaming technique. We present the simulation and experiment results of the video streaming process implemented in a peer-to-peer environment using video coding with different protocols such as HTTP, RTP and RSTP. The proposed framework is then applied to develop a mobile telemedicine system.","PeriodicalId":204082,"journal":{"name":"2013 International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"200 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133928298","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 : 2013-12-02DOI: 10.1109/ICITEED.2013.6676285
M. Riyadi
Double Gate MOSFET structure is a promising architecture for advanced devices in nanometer regime. This paper elaborates the asymmetric topology of Vertical Double Gate MOSFET (VDGM) with ORI method as source/drain fabricating technique using numerical analysis approach. The electrical characteristics of the drain-on-top (DOT) and source-on-top (SOT) topology were analyzed, especially in the sub-threshold performance, to observe the short channel effect (SCE) of the device. The result shows that silicon pillar thickness reduction enhance the DIBL performance, while the threshold voltage roll-off change in nearly the same degree with the thickness variation. The floating body effect will likely occur for thicker silicon pillar in SOT, as the drain's depletion layer creates deeper barrier between substrate and pillar region. The performance comparison of sub-threshold slope revealed better SCE control for DOT topology in the lower silicon thickness for short channel length up to 30 nm.
{"title":"Performance comparison of asymmetric drain/source topology in nanoscale Double Gate vertical MOSFET","authors":"M. Riyadi","doi":"10.1109/ICITEED.2013.6676285","DOIUrl":"https://doi.org/10.1109/ICITEED.2013.6676285","url":null,"abstract":"Double Gate MOSFET structure is a promising architecture for advanced devices in nanometer regime. This paper elaborates the asymmetric topology of Vertical Double Gate MOSFET (VDGM) with ORI method as source/drain fabricating technique using numerical analysis approach. The electrical characteristics of the drain-on-top (DOT) and source-on-top (SOT) topology were analyzed, especially in the sub-threshold performance, to observe the short channel effect (SCE) of the device. The result shows that silicon pillar thickness reduction enhance the DIBL performance, while the threshold voltage roll-off change in nearly the same degree with the thickness variation. The floating body effect will likely occur for thicker silicon pillar in SOT, as the drain's depletion layer creates deeper barrier between substrate and pillar region. The performance comparison of sub-threshold slope revealed better SCE control for DOT topology in the lower silicon thickness for short channel length up to 30 nm.","PeriodicalId":204082,"journal":{"name":"2013 International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130126605","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 : 2013-12-02DOI: 10.1109/ICITEED.2013.6676202
Suthasinee Nopparit, N. Pantuwong, Masanori Sugimoto
Motion databases usually contain sequences of movements and searching these vast databases is not an easy task. Motion clustering can reduce this difficulty by grouping sample movements into various motion groups containing similar actions. The pose distance is often used as a feature during motion-clustering tasks. However, the main weakness of this strategy is its computational complexity. Query motions are also required to cluster motion sequences. To address these problems, we propose a motion-clustering algorithm based on the use of kinetic energy to cluster sample motions. Our method does not require query motions during the clustering process, so the clustering results can be generated without supervision. Our experimental results confirmed that our proposed method delivered comparable performance to pose distance-based methods, while its computational complexity was significantly lower than that of existing methods.
{"title":"A kinetic energy-based feature for unsupervised motion clustering","authors":"Suthasinee Nopparit, N. Pantuwong, Masanori Sugimoto","doi":"10.1109/ICITEED.2013.6676202","DOIUrl":"https://doi.org/10.1109/ICITEED.2013.6676202","url":null,"abstract":"Motion databases usually contain sequences of movements and searching these vast databases is not an easy task. Motion clustering can reduce this difficulty by grouping sample movements into various motion groups containing similar actions. The pose distance is often used as a feature during motion-clustering tasks. However, the main weakness of this strategy is its computational complexity. Query motions are also required to cluster motion sequences. To address these problems, we propose a motion-clustering algorithm based on the use of kinetic energy to cluster sample motions. Our method does not require query motions during the clustering process, so the clustering results can be generated without supervision. Our experimental results confirmed that our proposed method delivered comparable performance to pose distance-based methods, while its computational complexity was significantly lower than that of existing methods.","PeriodicalId":204082,"journal":{"name":"2013 International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115086000","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 : 2013-12-02DOI: 10.1109/ICITEED.2013.6676235
Kitsuchart Pasupa, Ek Thamwiwatthana
Artificial Neural Networks (ANNs) has been used in prediction of reference evapotranspiration for a recent decade. Its performance is competitive to a widely used method the so-called “Penman-Monteith” method. In this study, we aim to estimate the crop evapotranspiration by ANNs from climatic data in Thailand and compare the performance with the Penman-Monteith method. As missing data is inevitable, we also included the missing data situation into the study. This can be solved by expectation-maximization algorithm. The accuracy of the prediction decreases when the amount of missing values increases. Furthermore, we exploit the feature selection in the study. It shows that sunshine duration is the most important feature followed by temperature and wide speed, respectively.
{"title":"Prediction of reference evapotranspiration with missing data in Thailand","authors":"Kitsuchart Pasupa, Ek Thamwiwatthana","doi":"10.1109/ICITEED.2013.6676235","DOIUrl":"https://doi.org/10.1109/ICITEED.2013.6676235","url":null,"abstract":"Artificial Neural Networks (ANNs) has been used in prediction of reference evapotranspiration for a recent decade. Its performance is competitive to a widely used method the so-called “Penman-Monteith” method. In this study, we aim to estimate the crop evapotranspiration by ANNs from climatic data in Thailand and compare the performance with the Penman-Monteith method. As missing data is inevitable, we also included the missing data situation into the study. This can be solved by expectation-maximization algorithm. The accuracy of the prediction decreases when the amount of missing values increases. Furthermore, we exploit the feature selection in the study. It shows that sunshine duration is the most important feature followed by temperature and wide speed, respectively.","PeriodicalId":204082,"journal":{"name":"2013 International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116223943","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 : 2013-12-02DOI: 10.1109/ICITEED.2013.6676204
Singha Chaveesuk, Sununthar Vongjaturapat, N. Chotikakamthorn
Increasing powerful mobile technology, for example tablet devices, empower learners to seek information not only at home but also in mobile learning scenarios, virtually anywhere and anytime. However, the variety of library material types such as e-books, e-journals, images, audio and movies, require different levels of human- computer interaction. Moreover, the different library material types may be subject to different usability constraints. Thus, it is important for the academic library to look at how student use their mobile technology for library information services. This paper aims to propose a theoretical model for academic institutes and telecommunication service providers by addressing the following question: What are the key determinant factors for the mobile technology acceptance in using library information services? How the patron' s perspective and technical perspective are integrated in the process of mobile technology acceptance for library information services? We extend the extending Unified Theory of Acceptance and Use of Technology model (UTAUT2) to the context of library information services by examining the moderating role of library material type. Adapting the UTAUT2 model requires respecification to suit a specific information system as well as including integration variables namely technology characteristics, task characteristics and attitude. The contribution of the model is a design guideline for the mobile technology function that is consistent with the library information services. Especially, for more better service management and delivery.
{"title":"Analysis of factors influencing the mobile technology acceptance for library information services: Conceptual model","authors":"Singha Chaveesuk, Sununthar Vongjaturapat, N. Chotikakamthorn","doi":"10.1109/ICITEED.2013.6676204","DOIUrl":"https://doi.org/10.1109/ICITEED.2013.6676204","url":null,"abstract":"Increasing powerful mobile technology, for example tablet devices, empower learners to seek information not only at home but also in mobile learning scenarios, virtually anywhere and anytime. However, the variety of library material types such as e-books, e-journals, images, audio and movies, require different levels of human- computer interaction. Moreover, the different library material types may be subject to different usability constraints. Thus, it is important for the academic library to look at how student use their mobile technology for library information services. This paper aims to propose a theoretical model for academic institutes and telecommunication service providers by addressing the following question: What are the key determinant factors for the mobile technology acceptance in using library information services? How the patron' s perspective and technical perspective are integrated in the process of mobile technology acceptance for library information services? We extend the extending Unified Theory of Acceptance and Use of Technology model (UTAUT2) to the context of library information services by examining the moderating role of library material type. Adapting the UTAUT2 model requires respecification to suit a specific information system as well as including integration variables namely technology characteristics, task characteristics and attitude. The contribution of the model is a design guideline for the mobile technology function that is consistent with the library information services. Especially, for more better service management and delivery.","PeriodicalId":204082,"journal":{"name":"2013 International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114811862","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 : 2013-12-02DOI: 10.1109/ICITEED.2013.6676224
T. Taengtang, Witthaya Sitthivet, K. Paithoonwattanakij
Improved an ant colony by firefly algorithm, in this paper is proposed the method that is interwoven between ant colony optimization and firefly algorithm to increase efficiency of solving the traveling salesmen problem it is called that Fermicidae swarm system (FSS). It uses relationship between pheromone and distance which is attractiveness and absorption coefficient. This method is based on ant colony optimization which state transition rule of ant colony is improved by adding detection, which is a condition of distances. The performance of FSS is divided into two parts: the speed and tour length of a result. A speedy result of FSS is faster than ACS and tour length of FSS is near the best result.
{"title":"Fermicidae swarm system","authors":"T. Taengtang, Witthaya Sitthivet, K. Paithoonwattanakij","doi":"10.1109/ICITEED.2013.6676224","DOIUrl":"https://doi.org/10.1109/ICITEED.2013.6676224","url":null,"abstract":"Improved an ant colony by firefly algorithm, in this paper is proposed the method that is interwoven between ant colony optimization and firefly algorithm to increase efficiency of solving the traveling salesmen problem it is called that Fermicidae swarm system (FSS). It uses relationship between pheromone and distance which is attractiveness and absorption coefficient. This method is based on ant colony optimization which state transition rule of ant colony is improved by adding detection, which is a condition of distances. The performance of FSS is divided into two parts: the speed and tour length of a result. A speedy result of FSS is faster than ACS and tour length of FSS is near the best result.","PeriodicalId":204082,"journal":{"name":"2013 International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116060912","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 : 2013-12-02DOI: 10.1109/ICITEED.2013.6676273
Chu Xuan Huan, T. Tayjasanant
Harmonic resonance phenomenon is a problem paid attention significantly from utilities and system engineers for many years. Nowadays, wind power is the leading renewable source, which is considered as the solution for a clean and sustainable resource; however, this integration of wind power plants into grids brings challenges for harmonic resonance study. This paper compares available methods and their pros and cons for modeling wind power plants in harmonic resonance study. Simulation results are verified with actual measurement data to present the performance among these methods. From the verification, the paper suggests the suitable method for modeling wind power plants in harmonic resonance study.
{"title":"Modeling wind power plants in harmonic resonance study - A case study in Thailand","authors":"Chu Xuan Huan, T. Tayjasanant","doi":"10.1109/ICITEED.2013.6676273","DOIUrl":"https://doi.org/10.1109/ICITEED.2013.6676273","url":null,"abstract":"Harmonic resonance phenomenon is a problem paid attention significantly from utilities and system engineers for many years. Nowadays, wind power is the leading renewable source, which is considered as the solution for a clean and sustainable resource; however, this integration of wind power plants into grids brings challenges for harmonic resonance study. This paper compares available methods and their pros and cons for modeling wind power plants in harmonic resonance study. Simulation results are verified with actual measurement data to present the performance among these methods. From the verification, the paper suggests the suitable method for modeling wind power plants in harmonic resonance study.","PeriodicalId":204082,"journal":{"name":"2013 International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130368163","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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