Pub Date : 2016-09-01DOI: 10.1109/CEEC.2016.7835904
Miada Almasre, H. Al-Nuaim
The objective of this research is to detect, recognize and interpret hand gestures of Arabic Sign Language (ArSL) letters using two sensor devices - Microsoft's Kinect and a Leap Motion Controller (LMC).
{"title":"Recognizing Arabic Sign Language gestures using depth sensors and a KSVM classifier","authors":"Miada Almasre, H. Al-Nuaim","doi":"10.1109/CEEC.2016.7835904","DOIUrl":"https://doi.org/10.1109/CEEC.2016.7835904","url":null,"abstract":"The objective of this research is to detect, recognize and interpret hand gestures of Arabic Sign Language (ArSL) letters using two sensor devices - Microsoft's Kinect and a Leap Motion Controller (LMC).","PeriodicalId":114518,"journal":{"name":"2016 8th Computer Science and Electronic Engineering (CEEC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133400090","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 : 2016-09-01DOI: 10.1109/CEEC.2016.7835918
Ayi Purbasari
This paper exploits the parallelism potential on a Clonal Selection Algorithm (CSA) as a parallel metaheuristic algorithm, due the lack of explanation detail of the stages of designing parallel algorithms. To parallelise population-based algorithms, we need to exploit and define their granularity for each stage; do data or functional partition; and choose the communication model. Using a library for a message-passing model, such as MPJExpress, we define appropriate methods to implement process communication. This research results pseudo-code for the two communication message-passing models, using MPJExpress. We implemented this pseudo-codes using Java Language with a dataset from the Travelling Salesman Problem (TSP). The experiments showed that multicommunication model using alltogether method gained better performance that master-slave model that using send-and receive method.
{"title":"Clonal Selection Algorithm parallelization with MPJExpress","authors":"Ayi Purbasari","doi":"10.1109/CEEC.2016.7835918","DOIUrl":"https://doi.org/10.1109/CEEC.2016.7835918","url":null,"abstract":"This paper exploits the parallelism potential on a Clonal Selection Algorithm (CSA) as a parallel metaheuristic algorithm, due the lack of explanation detail of the stages of designing parallel algorithms. To parallelise population-based algorithms, we need to exploit and define their granularity for each stage; do data or functional partition; and choose the communication model. Using a library for a message-passing model, such as MPJExpress, we define appropriate methods to implement process communication. This research results pseudo-code for the two communication message-passing models, using MPJExpress. We implemented this pseudo-codes using Java Language with a dataset from the Travelling Salesman Problem (TSP). The experiments showed that multicommunication model using alltogether method gained better performance that master-slave model that using send-and receive method.","PeriodicalId":114518,"journal":{"name":"2016 8th Computer Science and Electronic Engineering (CEEC)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115916847","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 : 2016-09-01DOI: 10.1109/CEEC.2016.7835895
G. Ç. Kayaturan, A. Vernitski
In this study it is introduced that the structure behind a random data structure called Bloom filter is applied to a routing scheme in a hexagonal grid in two dimensional case. The Bloom filter is a method to store the data in a very space efficiency and processing simplicity. We construct the Bloom filters for a complicated routing structure in a hexagonal mesh. It is aimed to obtain a fastest scheme without errors. A coding structure for the edges is developed to increase the efficiency use of network resources.
{"title":"Routing in hexagonal computer networks: How to present paths by Bloom filters without false positives","authors":"G. Ç. Kayaturan, A. Vernitski","doi":"10.1109/CEEC.2016.7835895","DOIUrl":"https://doi.org/10.1109/CEEC.2016.7835895","url":null,"abstract":"In this study it is introduced that the structure behind a random data structure called Bloom filter is applied to a routing scheme in a hexagonal grid in two dimensional case. The Bloom filter is a method to store the data in a very space efficiency and processing simplicity. We construct the Bloom filters for a complicated routing structure in a hexagonal mesh. It is aimed to obtain a fastest scheme without errors. A coding structure for the edges is developed to increase the efficiency use of network resources.","PeriodicalId":114518,"journal":{"name":"2016 8th Computer Science and Electronic Engineering (CEEC)","volume":"333 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121684263","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 : 2016-09-01DOI: 10.1109/CEEC.2016.7835889
Ismail Amin Ali, S. Moiron, M. Fleury, M. Ghanbari
Data partitioning is a coarse form of compressed data prioritization or layering that is effective in error-prone environments. This paper proposes a further sub-partition of one of the H.264/AVC codec's data-partitions, which can result in up to a 5 dB improvement in objective video quality. Specifically, the partition bearing spatially-coded data is divided into those data naturally inserted by the encoder and those data inserted for intra-refresh purposes. The refinement is helpful when communicating over wireless channels or when selectively dropping packets during congestion. Suitable applications are in two-way user-to-user communication for which HTTP adaptive streaming is inappropriate and the HEVC codec consumes too much energy.
{"title":"Refined Data Partitioning for improved video prioritization","authors":"Ismail Amin Ali, S. Moiron, M. Fleury, M. Ghanbari","doi":"10.1109/CEEC.2016.7835889","DOIUrl":"https://doi.org/10.1109/CEEC.2016.7835889","url":null,"abstract":"Data partitioning is a coarse form of compressed data prioritization or layering that is effective in error-prone environments. This paper proposes a further sub-partition of one of the H.264/AVC codec's data-partitions, which can result in up to a 5 dB improvement in objective video quality. Specifically, the partition bearing spatially-coded data is divided into those data naturally inserted by the encoder and those data inserted for intra-refresh purposes. The refinement is helpful when communicating over wireless channels or when selectively dropping packets during congestion. Suitable applications are in two-way user-to-user communication for which HTTP adaptive streaming is inappropriate and the HEVC codec consumes too much energy.","PeriodicalId":114518,"journal":{"name":"2016 8th Computer Science and Electronic Engineering (CEEC)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127012636","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 : 2016-09-01DOI: 10.1109/CEEC.2016.7835892
F. A. Patakor, Normah Jantan, Zulhisyam Salleh, M. Sulaiman
Sliding mode control offers great potential to deal with uncertainties such as parameter variation and external load disturbances in controlling induction motor drives. The main obstacle of conventional sliding mode control is the presence of chattering phenomenon. It is known that the large switching gain of sliding mode control is proportional to the chattering level, and normally a large switching gain is applied to handle the uncertainties. In this paper, this chattering phenomenon is significantly reduced by a newly developed algorithm. The control algorithm incorporates the adjustment of switching gain value and variation of the boundary layer to replace the discontinuous function in conventional sliding mode control. As a result, the boundary layer and the switching gain will change in the presence of uncertainties and load disturbances. The experimental results show the effectiveness of the proposed sliding mode control is superior in reducing the chattering phenomenon and handling the external load disturbances.
{"title":"Auto-tuning sliding mode control for induction motor drives","authors":"F. A. Patakor, Normah Jantan, Zulhisyam Salleh, M. Sulaiman","doi":"10.1109/CEEC.2016.7835892","DOIUrl":"https://doi.org/10.1109/CEEC.2016.7835892","url":null,"abstract":"Sliding mode control offers great potential to deal with uncertainties such as parameter variation and external load disturbances in controlling induction motor drives. The main obstacle of conventional sliding mode control is the presence of chattering phenomenon. It is known that the large switching gain of sliding mode control is proportional to the chattering level, and normally a large switching gain is applied to handle the uncertainties. In this paper, this chattering phenomenon is significantly reduced by a newly developed algorithm. The control algorithm incorporates the adjustment of switching gain value and variation of the boundary layer to replace the discontinuous function in conventional sliding mode control. As a result, the boundary layer and the switching gain will change in the presence of uncertainties and load disturbances. The experimental results show the effectiveness of the proposed sliding mode control is superior in reducing the chattering phenomenon and handling the external load disturbances.","PeriodicalId":114518,"journal":{"name":"2016 8th Computer Science and Electronic Engineering (CEEC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126970713","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 : 2016-09-01DOI: 10.1109/CEEC.2016.7835901
Carlos Fernandez Musoles
The majority of previous attempts to autonomous driving in the TORCS environment involve the use of precalculated data such as the exact distance to opponents or the actual position of the car with respect to the center of the track. As humans, we drive based on locally available information that is gathered by our senses, mainly sight. This information is not precomputed and it is left to the agent to make sense of it. This work explores and evaluates the development of autonomous steering using visual-only input in real time driving. Convolutional Neural Networks (CNNs) have been proven to excel in categorical image classification, but little has been done on how they could perform in continuous spaces such as deciding steering values. The results presented here show that CNNs are indeed capable of performing well on such spaces and can be trained from example. Various modifications proved to enhance network accuracy and hence driving performance, such as applying edge detection filters to the input image, using a weighted average method to select network outputs and including unusual situations in the training data, making the neurovisual agent much more robust and capable of higher generalization power.
{"title":"Towards neuroimaging real-time driving using Convolutional Neural Networks","authors":"Carlos Fernandez Musoles","doi":"10.1109/CEEC.2016.7835901","DOIUrl":"https://doi.org/10.1109/CEEC.2016.7835901","url":null,"abstract":"The majority of previous attempts to autonomous driving in the TORCS environment involve the use of precalculated data such as the exact distance to opponents or the actual position of the car with respect to the center of the track. As humans, we drive based on locally available information that is gathered by our senses, mainly sight. This information is not precomputed and it is left to the agent to make sense of it. This work explores and evaluates the development of autonomous steering using visual-only input in real time driving. Convolutional Neural Networks (CNNs) have been proven to excel in categorical image classification, but little has been done on how they could perform in continuous spaces such as deciding steering values. The results presented here show that CNNs are indeed capable of performing well on such spaces and can be trained from example. Various modifications proved to enhance network accuracy and hence driving performance, such as applying edge detection filters to the input image, using a weighted average method to select network outputs and including unusual situations in the training data, making the neurovisual agent much more robust and capable of higher generalization power.","PeriodicalId":114518,"journal":{"name":"2016 8th Computer Science and Electronic Engineering (CEEC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121973615","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 : 2016-09-01DOI: 10.1109/CEEC.2016.7835905
Louis G. Clift, A. Clark
This paper addresses the problem of using live and pre-recorded video sources in 3D reconstruction systems. Typical photogrammetry packages use images generated from digital photography cameras such as DSLRs. 3D reconstruction algorithms require the intrinsic information to be stored in the EXIF header of a digital photograph. Live video systems don't store this information and more importantly don't produce a concise sequence of distinct frames. This paper presents an approach to using both live and pre-recorded video sources with 3D Structure from Motion systems through the implementation of a pre-processor. This approach filters the video feed with the aid of the Laplacian operator and feature-based methods to create an optimal sequence for both on-line and off-line 3D reconstruction systems.
{"title":"Video frame extraction for 3D reconstruction","authors":"Louis G. Clift, A. Clark","doi":"10.1109/CEEC.2016.7835905","DOIUrl":"https://doi.org/10.1109/CEEC.2016.7835905","url":null,"abstract":"This paper addresses the problem of using live and pre-recorded video sources in 3D reconstruction systems. Typical photogrammetry packages use images generated from digital photography cameras such as DSLRs. 3D reconstruction algorithms require the intrinsic information to be stored in the EXIF header of a digital photograph. Live video systems don't store this information and more importantly don't produce a concise sequence of distinct frames. This paper presents an approach to using both live and pre-recorded video sources with 3D Structure from Motion systems through the implementation of a pre-processor. This approach filters the video feed with the aid of the Laplacian operator and feature-based methods to create an optimal sequence for both on-line and off-line 3D reconstruction systems.","PeriodicalId":114518,"journal":{"name":"2016 8th Computer Science and Electronic Engineering (CEEC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116247908","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 : 2016-09-01DOI: 10.1109/CEEC.2016.7835880
Alyaa Al-Barrak, Ali Al-Sherbaz, T. Kanakis, R. Crockett
In wireless communication, there exists a phenomenon know as ‘multipath’. This phenomenon is considered as a disadvantage because it causes interference. The multipath phenomenon results in an antenna receiving two or more signals from the same sent signal from different paths. This paper considers them as redundant copies of the transmitted data and utilises them to improve the performance of forward error correction (FEC) codes without extra redundancy, in order to improve data transmission reliability and increase the bit rate over wireless communication channels. The system was evaluated in bit error rate (BER) and used Bose, Ray-Chaudhuri and Hocquenghem (BCH) and Reed-Solomon (RS) codes as FEC. The results showed that the utilisation of the multipath improves the performance of FEC. Furthermore, the performance of FEC codes had t1 error correction capability and employed the multipath is better than FEC codes have t2 error correction capability and without the multipath, where t1 < t2. Consequently, the bit rate is increased, and communication reliability is improved without extra redundancy.
{"title":"Utilisation of multipath phenomenon to improve the performance of BCH and RS codes","authors":"Alyaa Al-Barrak, Ali Al-Sherbaz, T. Kanakis, R. Crockett","doi":"10.1109/CEEC.2016.7835880","DOIUrl":"https://doi.org/10.1109/CEEC.2016.7835880","url":null,"abstract":"In wireless communication, there exists a phenomenon know as ‘multipath’. This phenomenon is considered as a disadvantage because it causes interference. The multipath phenomenon results in an antenna receiving two or more signals from the same sent signal from different paths. This paper considers them as redundant copies of the transmitted data and utilises them to improve the performance of forward error correction (FEC) codes without extra redundancy, in order to improve data transmission reliability and increase the bit rate over wireless communication channels. The system was evaluated in bit error rate (BER) and used Bose, Ray-Chaudhuri and Hocquenghem (BCH) and Reed-Solomon (RS) codes as FEC. The results showed that the utilisation of the multipath improves the performance of FEC. Furthermore, the performance of FEC codes had t1 error correction capability and employed the multipath is better than FEC codes have t2 error correction capability and without the multipath, where t1 < t2. Consequently, the bit rate is increased, and communication reliability is improved without extra redundancy.","PeriodicalId":114518,"journal":{"name":"2016 8th Computer Science and Electronic Engineering (CEEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130142270","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 : 2016-09-01DOI: 10.1109/CEEC.2016.7835897
Sahar Ahmadzadeh, Kun Yang
With regard to the interaction between several users with an energy provider when users are equipped with smart meters that are connected to the energy provider this paper proposes a real time pricing(RTP) algorithm based on income maximization(IM) for the future smart grid(SG).In this paper the proposed income based objective function in [1] is extended when user number variation is considered in presence of load uncertainty in SG. In this case three different systems called Poission Distribution System Analysis(PDSA),Uniform Distribution System Analysis(UDSA) and Constant System Analysis (CSA) which describe users' entry and departure type has been defined and compared. The effect of user number variation in presence of load uncertainty on average gap between generation and consumption as well as the price in 24 hours timing period is investigated. The in effect of increasing the number of users is also analysed.
{"title":"An income-based real-time pricing algorithm under uncertainties in smart grid","authors":"Sahar Ahmadzadeh, Kun Yang","doi":"10.1109/CEEC.2016.7835897","DOIUrl":"https://doi.org/10.1109/CEEC.2016.7835897","url":null,"abstract":"With regard to the interaction between several users with an energy provider when users are equipped with smart meters that are connected to the energy provider this paper proposes a real time pricing(RTP) algorithm based on income maximization(IM) for the future smart grid(SG).In this paper the proposed income based objective function in [1] is extended when user number variation is considered in presence of load uncertainty in SG. In this case three different systems called Poission Distribution System Analysis(PDSA),Uniform Distribution System Analysis(UDSA) and Constant System Analysis (CSA) which describe users' entry and departure type has been defined and compared. The effect of user number variation in presence of load uncertainty on average gap between generation and consumption as well as the price in 24 hours timing period is investigated. The in effect of increasing the number of users is also analysed.","PeriodicalId":114518,"journal":{"name":"2016 8th Computer Science and Electronic Engineering (CEEC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125029086","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 : 2016-09-01DOI: 10.1109/CEEC.2016.7835913
Wasan Twayej, H. Al-Raweshidy, M. Khan, Suad El-Geder
In this paper Tiny-SDCWN, a Tiny Software Defined Clustering Wireless Networking solution for wireless networking is proposed. The concept of Tiny-SDCWN proposed has structured and hierarchical management, which provides a solution to some inherent problems in WSN management and in particular, prolongs the network lifetime. The sensor field is divided into quarters with different levels of cluster heads (CHs), these being chosen in a purposeful manner along with two beneficially located Tiny-SDCWN controllers. In addition, the hierarchical structure is a Machine-to-Machine (M2M) energy efficient routing protocol of Multi-Level Clustering with Multiple Sinks (MLCMS), which are hosts to the controllers using IPv6 over Low Power Wireless Personal Area Networks (6LoWPAN). The MLCMS is used to enhance the lifetime of the network through a special network structure, which involves injecting a routing protocol into the controller. The performance of the MLCMS protocol is evaluated with and without using the Tiny-SDCWN controller. This modification performs 27% better than the traditional network in relation to energy usages all the decision are made by the controller and eliminate the broadcasting between the sensor nodes‥ It is contended that the proposed solution, whilst most importantly being effective in terms of energy usage, also introduces flexibility into the management of the network.
{"title":"Energy-efficient M2M routing protocol based on Tiny-SDCWN with 6LoWPAN","authors":"Wasan Twayej, H. Al-Raweshidy, M. Khan, Suad El-Geder","doi":"10.1109/CEEC.2016.7835913","DOIUrl":"https://doi.org/10.1109/CEEC.2016.7835913","url":null,"abstract":"In this paper Tiny-SDCWN, a Tiny Software Defined Clustering Wireless Networking solution for wireless networking is proposed. The concept of Tiny-SDCWN proposed has structured and hierarchical management, which provides a solution to some inherent problems in WSN management and in particular, prolongs the network lifetime. The sensor field is divided into quarters with different levels of cluster heads (CHs), these being chosen in a purposeful manner along with two beneficially located Tiny-SDCWN controllers. In addition, the hierarchical structure is a Machine-to-Machine (M2M) energy efficient routing protocol of Multi-Level Clustering with Multiple Sinks (MLCMS), which are hosts to the controllers using IPv6 over Low Power Wireless Personal Area Networks (6LoWPAN). The MLCMS is used to enhance the lifetime of the network through a special network structure, which involves injecting a routing protocol into the controller. The performance of the MLCMS protocol is evaluated with and without using the Tiny-SDCWN controller. This modification performs 27% better than the traditional network in relation to energy usages all the decision are made by the controller and eliminate the broadcasting between the sensor nodes‥ It is contended that the proposed solution, whilst most importantly being effective in terms of energy usage, also introduces flexibility into the management of the network.","PeriodicalId":114518,"journal":{"name":"2016 8th Computer Science and Electronic Engineering (CEEC)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133276198","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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