Pub Date : 2019-02-01DOI: 10.1109/ITCE.2019.8646431
M. El-Melegy, Khaled M. Abo El-Magd, Samia A. Ali, K. Hussain, Yousef B. Mahdy
Ensembles of classifiers can improve the performance of individual classifiers on several classification tasks. In this paper, we investigate the employment of ensemble methods for improving the accuracy of multimodal brain tumor segmentation. Four different ensemble methods are evaluated: Adaboost, bagging, stacking, and voting, on MICCAI BRATS 2016 challenge’s MRI dataset. Our experimental results confirm the performance improvement produced by the ensemble methods over those of 20 different individual classifiers. Majority voting based ensemble method performed the best among the four ensemble methods.
{"title":"Ensemble of Multiple Classifiers for Automatic Multimodal Brain Tumor Segmentation","authors":"M. El-Melegy, Khaled M. Abo El-Magd, Samia A. Ali, K. Hussain, Yousef B. Mahdy","doi":"10.1109/ITCE.2019.8646431","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646431","url":null,"abstract":"Ensembles of classifiers can improve the performance of individual classifiers on several classification tasks. In this paper, we investigate the employment of ensemble methods for improving the accuracy of multimodal brain tumor segmentation. Four different ensemble methods are evaluated: Adaboost, bagging, stacking, and voting, on MICCAI BRATS 2016 challenge’s MRI dataset. Our experimental results confirm the performance improvement produced by the ensemble methods over those of 20 different individual classifiers. Majority voting based ensemble method performed the best among the four ensemble methods.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130327304","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 : 2019-02-01DOI: 10.1109/ITCE.2019.8646468
Asmaa Mohamed, A. A. Wahba, Ahmed M. Sayed, Marwa A. Haggag, M. El-Adawy
This paper proposes a specific material (linseed oil) to be used as a matching layer between the ultrasound transducer and the soft tissue of the breast instead of the used traditional gel. The acoustic impedance of this gel is about 1.48 MRayl while that of the breast soft tissue is about 1.633 MRayl. This difference in the impedance between gel and breast causes a reflection of the ultrasound signal which degrades the quality of the resultant image. The acoustic impedance of the proposed oil is about 1.631 MRayl which is more suitable than the traditional gel. The proposed material is tested on 41 breast cases at the National Cancer Institute, Cairo University. A significant enhancement in image quality is achieved using this proposed material.
{"title":"Enhancement of Ultrasound Images Quality Using a New Matching Material","authors":"Asmaa Mohamed, A. A. Wahba, Ahmed M. Sayed, Marwa A. Haggag, M. El-Adawy","doi":"10.1109/ITCE.2019.8646468","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646468","url":null,"abstract":"This paper proposes a specific material (linseed oil) to be used as a matching layer between the ultrasound transducer and the soft tissue of the breast instead of the used traditional gel. The acoustic impedance of this gel is about 1.48 MRayl while that of the breast soft tissue is about 1.633 MRayl. This difference in the impedance between gel and breast causes a reflection of the ultrasound signal which degrades the quality of the resultant image. The acoustic impedance of the proposed oil is about 1.631 MRayl which is more suitable than the traditional gel. The proposed material is tested on 41 breast cases at the National Cancer Institute, Cairo University. A significant enhancement in image quality is achieved using this proposed material.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130572910","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 : 2019-02-01DOI: 10.1109/ITCE.2019.8646322
A. Abdelmoniem, Yomna M. Abdelmoniem, B. Bensaou
Performance studies of computer network systems traditionally relied on mathematical modelling. Then, to deal with the increasingly complex systems in a meaningful manner, simulation and emulation tools have been developed to circumvent the intractability or the oversimplification that comes with mathematical methods. However, such emulation methods still make many simplifying assumptions as they are incapable of capturing the real system in its totality. Recently, Field Programmable Gate Array (FPGA) based prototyping systems have become an affordable option for researchers as an easy and quick tool for network system prototyping. In this paper, we motivate system prototyping based research via FPGA in conducting research experiments as well as facilitating new system designs where some traditional software functions are offloaded to the FPGA. We present a new switch prototype and preliminary results from its deployment in a real testbed.
{"title":"On Network Systems Design: Pushing the Performance Envelope via FPGA Prototyping","authors":"A. Abdelmoniem, Yomna M. Abdelmoniem, B. Bensaou","doi":"10.1109/ITCE.2019.8646322","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646322","url":null,"abstract":"Performance studies of computer network systems traditionally relied on mathematical modelling. Then, to deal with the increasingly complex systems in a meaningful manner, simulation and emulation tools have been developed to circumvent the intractability or the oversimplification that comes with mathematical methods. However, such emulation methods still make many simplifying assumptions as they are incapable of capturing the real system in its totality. Recently, Field Programmable Gate Array (FPGA) based prototyping systems have become an affordable option for researchers as an easy and quick tool for network system prototyping. In this paper, we motivate system prototyping based research via FPGA in conducting research experiments as well as facilitating new system designs where some traditional software functions are offloaded to the FPGA. We present a new switch prototype and preliminary results from its deployment in a real testbed.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131987922","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 : 2019-02-01DOI: 10.1109/ITCE.2019.8646343
S. M. Ali, A. Mohamed, A. Hemeida
This paper aims to propose Satin Bowerbird Optimization (SBO) Algorithm and Ant Lion optimizer (ALO) Algorithm for optimal sitting and sizing of renewable distributed generations (RDGs) (such as Photovoltaic (PV) and wind turbine (WT)) in radial distribution networks (RDN) to reducing the system power loss and consequently maximizing the net saving. The proposed methods are implemented on 33-bus and 118-bus IEEE standard radial distribution test systems. To ensure the validation of the proposed approaches, the simulation results obtained are compared by the proposed methods with each other and with the other existing technology.
{"title":"Impact of Optimal Allocation of Renewable Distributed Generation in Radial Distribution Systems Based on Different Optimization Algorithms","authors":"S. M. Ali, A. Mohamed, A. Hemeida","doi":"10.1109/ITCE.2019.8646343","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646343","url":null,"abstract":"This paper aims to propose Satin Bowerbird Optimization (SBO) Algorithm and Ant Lion optimizer (ALO) Algorithm for optimal sitting and sizing of renewable distributed generations (RDGs) (such as Photovoltaic (PV) and wind turbine (WT)) in radial distribution networks (RDN) to reducing the system power loss and consequently maximizing the net saving. The proposed methods are implemented on 33-bus and 118-bus IEEE standard radial distribution test systems. To ensure the validation of the proposed approaches, the simulation results obtained are compared by the proposed methods with each other and with the other existing technology.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133809864","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 : 2019-02-01DOI: 10.1109/ITCE.2019.8646481
D.M. El-Matary, N. El-Attar, W. Awad, I. Hanafy
Cloud Computing is, by nature, multi-tenant, complex, large-scale, and heterogeneous distributed systems. Thus respectively, its processes and strategies need to be automated and integrated. one of the essential processes in the Cloud computing system is negotiating the service level agreement which always has to be elastic and flexible in handling and translating the user services’ requirements. This paper aims at presenting an automated SLA negotiation framework based on autonomous and flexible agents and multi agent systems based on the autonomic computing features as suitable tools for self-detection of failures and self-monitoring for the Cloud operations and services.
{"title":"Automated Negotiation Framework Based on Intelligent Agents for Cloud Computing","authors":"D.M. El-Matary, N. El-Attar, W. Awad, I. Hanafy","doi":"10.1109/ITCE.2019.8646481","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646481","url":null,"abstract":"Cloud Computing is, by nature, multi-tenant, complex, large-scale, and heterogeneous distributed systems. Thus respectively, its processes and strategies need to be automated and integrated. one of the essential processes in the Cloud computing system is negotiating the service level agreement which always has to be elastic and flexible in handling and translating the user services’ requirements. This paper aims at presenting an automated SLA negotiation framework based on autonomous and flexible agents and multi agent systems based on the autonomic computing features as suitable tools for self-detection of failures and self-monitoring for the Cloud operations and services.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131578073","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 : 2019-02-01DOI: 10.1109/ITCE.2019.8646685
Salma Elsherif, Ghadir Mostafa, Sara Farrag, Wassim Alexan
Due to the evolution in digital communications, sending a sheltered message, where interferers are prying for any useful piece of information, has become a rigid mission. In this paper, a multiple layer message security scheme is proposed, utilizing 3D images. The proposed scheme is robust against any means of eavesdropping or intruding as it is comprised of four layers of security as follows: encryption using AES–128, encoding using a repetition code, least significant bit (LSB) steganography and jamming through the addition of noise. The proposed scheme is compared with its counterparts from the literature and is shown to exhibit excellent traits, in terms of being reversible and its ability to carry out blind extraction of the data as well as withstanding geometrical attacks. Furthermore, the proposed scheme exhibits very good performance in terms of the mean squared error (MSE) and the peak signal to noise ratios (PSNR).
{"title":"Secure Message Embedding in 3D Images","authors":"Salma Elsherif, Ghadir Mostafa, Sara Farrag, Wassim Alexan","doi":"10.1109/ITCE.2019.8646685","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646685","url":null,"abstract":"Due to the evolution in digital communications, sending a sheltered message, where interferers are prying for any useful piece of information, has become a rigid mission. In this paper, a multiple layer message security scheme is proposed, utilizing 3D images. The proposed scheme is robust against any means of eavesdropping or intruding as it is comprised of four layers of security as follows: encryption using AES–128, encoding using a repetition code, least significant bit (LSB) steganography and jamming through the addition of noise. The proposed scheme is compared with its counterparts from the literature and is shown to exhibit excellent traits, in terms of being reversible and its ability to carry out blind extraction of the data as well as withstanding geometrical attacks. Furthermore, the proposed scheme exhibits very good performance in terms of the mean squared error (MSE) and the peak signal to noise ratios (PSNR).","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134221424","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 : 2019-02-01DOI: 10.1109/ITCE.2019.8646637
Fuhank Buntara, Bu-Sung Lee, Rikky W. Purbojati, Chan Xian Zhou
This paper presents a comparative study of CPU and GPU performance in sequence alignments for the Next Generation Sequencing (NGS), specifically in the context of short reads mapping to a reference genome. Bowtie2 and BWA which runs on CPU only and its equivalent, NvBowtie and BarraCUDA which runs on both CPU and GPU, is chosen as the genomic tools benchmark for this studies. The CPUs selected for our study is Intel Xeon Processor E5-2695v2(x2) and Intel Xeon Processor E5-2699 v4(x2). The GPUs that we have selected for our study are the NVIDIA Tesla K80, Pascal 100 (P100) and Volta 100 (V100). Our results show that GPUs performs better than CPUs for long read’s length and large number of reads. However, taking the price/performance ratio into account, the results suggests a case of diminishing return for the newer generation of NVIDIA GPU.
{"title":"Is GPUs Ready to Boost Genomic Alignment Computation","authors":"Fuhank Buntara, Bu-Sung Lee, Rikky W. Purbojati, Chan Xian Zhou","doi":"10.1109/ITCE.2019.8646637","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646637","url":null,"abstract":"This paper presents a comparative study of CPU and GPU performance in sequence alignments for the Next Generation Sequencing (NGS), specifically in the context of short reads mapping to a reference genome. Bowtie2 and BWA which runs on CPU only and its equivalent, NvBowtie and BarraCUDA which runs on both CPU and GPU, is chosen as the genomic tools benchmark for this studies. The CPUs selected for our study is Intel Xeon Processor E5-2695v2(x2) and Intel Xeon Processor E5-2699 v4(x2). The GPUs that we have selected for our study are the NVIDIA Tesla K80, Pascal 100 (P100) and Volta 100 (V100). Our results show that GPUs performs better than CPUs for long read’s length and large number of reads. However, taking the price/performance ratio into account, the results suggests a case of diminishing return for the newer generation of NVIDIA GPU.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132318381","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 : 2019-02-01DOI: 10.1109/ITCE.2019.8646516
M. Abdel-Nasser, A. Moreno, M. Abdelwahab, Adel Saleh, S. Abdulwahab, V. Singh, D. Puig
Matching candidate points from multiple mammographic views corresponding to the same patient may lead to an improvement in the accuracy of Computer Aided Diagnosis systems and it can help the radiologists to detect breast cancer in early stages, leading to a reduction of the percentage of mortality. In this paper, we propose a matching approach in order to detect correspondences between some candidate points from multiple mammographic views. Initially, a Scale Invariant Feature Transform detector is used to determine some candidate points in the mammographic views, then a combination between texture features is proposed to check the abnormality of the local region that surrounds each candidate point. The candidate points can be matched by integrating the information given by the texture analysis, the distance from the nipple and the location of the candidate points relative to the nipple. Some experiments are presented to show the effectiveness of the proposed approach.
{"title":"Matching Tumour Candidate Points in Multiple Mammographic Views for Breast Cancer Detection","authors":"M. Abdel-Nasser, A. Moreno, M. Abdelwahab, Adel Saleh, S. Abdulwahab, V. Singh, D. Puig","doi":"10.1109/ITCE.2019.8646516","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646516","url":null,"abstract":"Matching candidate points from multiple mammographic views corresponding to the same patient may lead to an improvement in the accuracy of Computer Aided Diagnosis systems and it can help the radiologists to detect breast cancer in early stages, leading to a reduction of the percentage of mortality. In this paper, we propose a matching approach in order to detect correspondences between some candidate points from multiple mammographic views. Initially, a Scale Invariant Feature Transform detector is used to determine some candidate points in the mammographic views, then a combination between texture features is proposed to check the abnormality of the local region that surrounds each candidate point. The candidate points can be matched by integrating the information given by the texture analysis, the distance from the nipple and the location of the candidate points relative to the nipple. Some experiments are presented to show the effectiveness of the proposed approach.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123935112","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 : 2019-02-01DOI: 10.1109/ITCE.2019.8646324
Y. Badran, G. Salama, T. Mahmoud, Aiman M. Mousa, Adel E. Moussa
Image super-resolution (SR) is an active research point due to its added value for many image processing applications. The classical SR aims to obtain a high resolution (HR) image using multiple low resolution (LR) images. Recently many research works are directed towards obtaining such HR image from a single LR image which is known as single image SR restoration.This paper presents a fast single-image SR approach based on learning the functions that can transfer LR patch into HR features. Then, these features are used to reconstruct the HR image through a process called constrained back-projection. The experimental results show that the proposed approach is capable of providing a high quality super-resolution images.
{"title":"Single image super resolution based on learning features to constrain back projection","authors":"Y. Badran, G. Salama, T. Mahmoud, Aiman M. Mousa, Adel E. Moussa","doi":"10.1109/ITCE.2019.8646324","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646324","url":null,"abstract":"Image super-resolution (SR) is an active research point due to its added value for many image processing applications. The classical SR aims to obtain a high resolution (HR) image using multiple low resolution (LR) images. Recently many research works are directed towards obtaining such HR image from a single LR image which is known as single image SR restoration.This paper presents a fast single-image SR approach based on learning the functions that can transfer LR patch into HR features. Then, these features are used to reconstruct the HR image through a process called constrained back-projection. The experimental results show that the proposed approach is capable of providing a high quality super-resolution images.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"532 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124264919","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 : 2019-02-01DOI: 10.1109/ITCE.2019.8646396
Mira M. Zarie, P. Makeen, S. Abdellatif, I. Mahmoud, T. Abdel-salam
The fluctuation of fuel prices has become a concern to the Egyptian society since it influences the electricity tariff. The objective of this paper is to design a self-consumed power system for an educational building from a photovoltaic (PV) source. Two proposed systems, grid-connected and standalone, are suggested and compared to the currently running grid supply system. The comparison is implemented from a techno-economic point view through calculating the net present cost (NPC), the levelized cost of energy (LCOE) and the return of investment (ROI) when applicable. The study showed the leading of the grid-connected system over the standalone one whenever a grid is already connected to the area. an overall reduction of more than 50% in NCP and 75 % in LCOE was recorded.
{"title":"Techno-economic Feasibility of Photovoltaic System for an Educational Building in Egypt : (Case Study)","authors":"Mira M. Zarie, P. Makeen, S. Abdellatif, I. Mahmoud, T. Abdel-salam","doi":"10.1109/ITCE.2019.8646396","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646396","url":null,"abstract":"The fluctuation of fuel prices has become a concern to the Egyptian society since it influences the electricity tariff. The objective of this paper is to design a self-consumed power system for an educational building from a photovoltaic (PV) source. Two proposed systems, grid-connected and standalone, are suggested and compared to the currently running grid supply system. The comparison is implemented from a techno-economic point view through calculating the net present cost (NPC), the levelized cost of energy (LCOE) and the return of investment (ROI) when applicable. The study showed the leading of the grid-connected system over the standalone one whenever a grid is already connected to the area. an overall reduction of more than 50% in NCP and 75 % in LCOE was recorded.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123817943","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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