Pub Date : 2019-04-01DOI: 10.1109/ICIICT1.2019.8741463
Sreelakshmi, S. Sindhu
Cloud computing is becoming one of the most disruptive forces that are attracting more and more customers towards it for various kinds of services. The increasing demand for cloud computing technology has given rise to network traffic also, hence it is important to balance the workload arising in the network. Load balancing is necessary for the efficient working of cloud services. Load balancing in the cloud can be both static as well as dynamic in nature. In the current scenario, the ability of cloud systems to adapt to changing conditions is necessary, hence dynamic load balancing is emerging as a hot topic. Load balancing can be either done by task scheduling or virtual machine migration. In this paper, a multi-objective particle swarm optimization for task scheduling is proposed. The objectives taken are makespan time, deadline and cost of communication. The experimental result has shown that the proposed method helped in reducing the makespan time, cost of communication and also completing the task within the deadline.
{"title":"Multi-Objective PSO Based Task Scheduling - A Load Balancing Approach in Cloud","authors":"Sreelakshmi, S. Sindhu","doi":"10.1109/ICIICT1.2019.8741463","DOIUrl":"https://doi.org/10.1109/ICIICT1.2019.8741463","url":null,"abstract":"Cloud computing is becoming one of the most disruptive forces that are attracting more and more customers towards it for various kinds of services. The increasing demand for cloud computing technology has given rise to network traffic also, hence it is important to balance the workload arising in the network. Load balancing is necessary for the efficient working of cloud services. Load balancing in the cloud can be both static as well as dynamic in nature. In the current scenario, the ability of cloud systems to adapt to changing conditions is necessary, hence dynamic load balancing is emerging as a hot topic. Load balancing can be either done by task scheduling or virtual machine migration. In this paper, a multi-objective particle swarm optimization for task scheduling is proposed. The objectives taken are makespan time, deadline and cost of communication. The experimental result has shown that the proposed method helped in reducing the makespan time, cost of communication and also completing the task within the deadline.","PeriodicalId":118897,"journal":{"name":"2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124632510","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 : 2019-04-01DOI: 10.1109/ICIICT1.2019.8741446
Renjith R J, UmaMaheswari M, N. N, Velmurugan P G S
To enhance the lifetime of a power constrained relay network, Energy Harvesting (EH) is a promising solution. This paper introduces Reinforcement Learning (RL) algorithm for high data rate bidirectional relay network with the merits of Spatial Modulation (SM) and Decode and Forward (DF) relay protocol. As the relay network is energy constrained, the required power for forwarding the data is harvested from the received radio frequency signals. Based on real-time scenarios, it is assumed that relay has knowledge only about the past and the current state of the EH process. The proposed system is modelled as Markov Decision Process (MDP) and power allocation policy is formulated using RL algorithm. This policy maximizes the overall throughput of the system and reduces the outage. Further, the concept of linear function approximation is proposed to handle the real-time scenarios.
{"title":"Reinforcement Learning for Energy Harvesting in Spatial Modulated MIMO Systems","authors":"Renjith R J, UmaMaheswari M, N. N, Velmurugan P G S","doi":"10.1109/ICIICT1.2019.8741446","DOIUrl":"https://doi.org/10.1109/ICIICT1.2019.8741446","url":null,"abstract":"To enhance the lifetime of a power constrained relay network, Energy Harvesting (EH) is a promising solution. This paper introduces Reinforcement Learning (RL) algorithm for high data rate bidirectional relay network with the merits of Spatial Modulation (SM) and Decode and Forward (DF) relay protocol. As the relay network is energy constrained, the required power for forwarding the data is harvested from the received radio frequency signals. Based on real-time scenarios, it is assumed that relay has knowledge only about the past and the current state of the EH process. The proposed system is modelled as Markov Decision Process (MDP) and power allocation policy is formulated using RL algorithm. This policy maximizes the overall throughput of the system and reduces the outage. Further, the concept of linear function approximation is proposed to handle the real-time scenarios.","PeriodicalId":118897,"journal":{"name":"2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129665811","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 : 2019-04-01DOI: 10.1109/ICIICT1.2019.8741477
R. Manickavasagam, S. Selvan
The GACM (Gradient based Active Contour Model) is proposed for segmenting the lung region from digital CT (Computed Tomography) images. In GACM, the gradient information present in the image at lung boundaries are extracted using active contour model. Then shape and GLCM feature sets are extracted from normalized images. The PCA is used for optimal feature set evaluation based on the consistency of the feature attributes. The lung nodules detection and stage classifications are carried out using multi class Support Vector Machine which makes the decision boundary between the various classes using hyper planes. The experiments result shows that the stage classification accuracy and sensitivity achieved by the proposed method is 95.3% and 92.17% respectively. The results of proposed system are improved when compared with existing system in terms of accuracy and sensitivity.
{"title":"GACM based segmentation method for Lung nodule detection and classification of stages using CT images","authors":"R. Manickavasagam, S. Selvan","doi":"10.1109/ICIICT1.2019.8741477","DOIUrl":"https://doi.org/10.1109/ICIICT1.2019.8741477","url":null,"abstract":"The GACM (Gradient based Active Contour Model) is proposed for segmenting the lung region from digital CT (Computed Tomography) images. In GACM, the gradient information present in the image at lung boundaries are extracted using active contour model. Then shape and GLCM feature sets are extracted from normalized images. The PCA is used for optimal feature set evaluation based on the consistency of the feature attributes. The lung nodules detection and stage classifications are carried out using multi class Support Vector Machine which makes the decision boundary between the various classes using hyper planes. The experiments result shows that the stage classification accuracy and sensitivity achieved by the proposed method is 95.3% and 92.17% respectively. The results of proposed system are improved when compared with existing system in terms of accuracy and sensitivity.","PeriodicalId":118897,"journal":{"name":"2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129832330","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}
In recent days the knowledge in the Brain Machine Interface is manifesting emotion recognition and classification. There are many studies indicating potential evidence in identifying emotions using EEG brain waves. This paper investigates and proposes a new machine learning technology in identifying the emotions through the use of latest machine learning concepts using LSTN ( Long short term memory) recurring neural networks. The acquired brain wave signals are processed for classification using discrete wavelet transform and then given to the proposed algorithm for specific emotion recognition.
{"title":"EEG-based emotion recognition using LSTM-RNN machine learning algorithm","authors":"Reddy Koya Jeevan, SP Venu Madhava Rao, P. Shiva Kumar, Malyala Srivikas","doi":"10.1109/ICIICT1.2019.8741506","DOIUrl":"https://doi.org/10.1109/ICIICT1.2019.8741506","url":null,"abstract":"In recent days the knowledge in the Brain Machine Interface is manifesting emotion recognition and classification. There are many studies indicating potential evidence in identifying emotions using EEG brain waves. This paper investigates and proposes a new machine learning technology in identifying the emotions through the use of latest machine learning concepts using LSTN ( Long short term memory) recurring neural networks. The acquired brain wave signals are processed for classification using discrete wavelet transform and then given to the proposed algorithm for specific emotion recognition.","PeriodicalId":118897,"journal":{"name":"2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT)","volume":"453 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132434732","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 : 2019-04-01DOI: 10.1109/ICIICT1.2019.8741455
Dinokumar Kongkham, M. Sundararajan
Spectrum sensing is an essential job used for cognitive radio. One note worthy test used for cognitive radio systems is the sampling rate blockage related through wide band range detecting. This article projects a novel wideband range detecting system utilizing multicoset testing and symmetrical coordinating interest calculation. Multicoset testing is a sub-Nyquist examining method that can be utilized to decrease the implementation multifaceted nature related with the Nyquist inspecting based wideband detecting strategies. Symmetrical coordinating interest is a ravenous interest calculation used to recoup the obscure ghastly help of compressive detected scanty signs. The proposed strategy not just diminishes the multifaceted nature related with Nyquist examining based frameworks yet additionally gives a solid recognition capacity even at low flag to-commotion proportions. When the obscure ghostly files are distinguished, the empty range is designated to the auxiliary clients. Since the empty range is constantly inclined to essential client impedance, the optional client utilizes the LDPC codes for dependable information transfers. Bit-error rates are also analyzed to find the system performance.
{"title":"A Survey on Cognitive Radio Networks for Detecting Unwanted Access of Malicious Nodes","authors":"Dinokumar Kongkham, M. Sundararajan","doi":"10.1109/ICIICT1.2019.8741455","DOIUrl":"https://doi.org/10.1109/ICIICT1.2019.8741455","url":null,"abstract":"Spectrum sensing is an essential job used for cognitive radio. One note worthy test used for cognitive radio systems is the sampling rate blockage related through wide band range detecting. This article projects a novel wideband range detecting system utilizing multicoset testing and symmetrical coordinating interest calculation. Multicoset testing is a sub-Nyquist examining method that can be utilized to decrease the implementation multifaceted nature related with the Nyquist inspecting based wideband detecting strategies. Symmetrical coordinating interest is a ravenous interest calculation used to recoup the obscure ghastly help of compressive detected scanty signs. The proposed strategy not just diminishes the multifaceted nature related with Nyquist examining based frameworks yet additionally gives a solid recognition capacity even at low flag to-commotion proportions. When the obscure ghostly files are distinguished, the empty range is designated to the auxiliary clients. Since the empty range is constantly inclined to essential client impedance, the optional client utilizes the LDPC codes for dependable information transfers. Bit-error rates are also analyzed to find the system performance.","PeriodicalId":118897,"journal":{"name":"2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129220892","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 : 2019-04-01DOI: 10.1109/ICIICT1.2019.8741361
P. V, M. Nalini
This project exhibits a control technique to decrease volume of fuel utilization to the most minimal by utilizing successful transmission ready framework in a stage gear mechanical transmission. Speed is changed over into a moment voltage. The voltage fills in as a contribution to the Arduino/Raspberry pi Micro-controller. The microcontroller is modified so that the framework sends a sound/LED/vibrating alert amid transmission. The framework expects to be compact and perfect with any vehicle.
{"title":"Adaptive Fuel Optimal and Cruising Strategy for Vehicle Design and Monitoring Pilot Performance","authors":"P. V, M. Nalini","doi":"10.1109/ICIICT1.2019.8741361","DOIUrl":"https://doi.org/10.1109/ICIICT1.2019.8741361","url":null,"abstract":"This project exhibits a control technique to decrease volume of fuel utilization to the most minimal by utilizing successful transmission ready framework in a stage gear mechanical transmission. Speed is changed over into a moment voltage. The voltage fills in as a contribution to the Arduino/Raspberry pi Micro-controller. The microcontroller is modified so that the framework sends a sound/LED/vibrating alert amid transmission. The framework expects to be compact and perfect with any vehicle.","PeriodicalId":118897,"journal":{"name":"2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126906043","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 : 2019-04-01DOI: 10.1109/ICIICT1.2019.8741447
P. M, S. Siva, M. Sudhan
Monitoring of the health plays a crucial role in the medical industry; an application for monitoring the children from distances by their parents is developed. Different types of sensors are used like; a temperature sensor is a device typically is an RTD. Heartbeat senor works on the principle of the basic optoelectronics. The Raspberry Pi 3 B + Model are presently the latest, faster, and easier to use. Massimo’s acoustic respiration sensor the RAS-45 for Rainbow Acoustic Monitoring scored FDA clearance for infants and patients 10kg and under. We use an IOT board that is used for online applications with many advantages and authorize the embedded system. We use ADC to convert analog values to digital values as output.
{"title":"Non invasive health monitoring system for infant using IOT","authors":"P. M, S. Siva, M. Sudhan","doi":"10.1109/ICIICT1.2019.8741447","DOIUrl":"https://doi.org/10.1109/ICIICT1.2019.8741447","url":null,"abstract":"Monitoring of the health plays a crucial role in the medical industry; an application for monitoring the children from distances by their parents is developed. Different types of sensors are used like; a temperature sensor is a device typically is an RTD. Heartbeat senor works on the principle of the basic optoelectronics. The Raspberry Pi 3 B + Model are presently the latest, faster, and easier to use. Massimo’s acoustic respiration sensor the RAS-45 for Rainbow Acoustic Monitoring scored FDA clearance for infants and patients 10kg and under. We use an IOT board that is used for online applications with many advantages and authorize the embedded system. We use ADC to convert analog values to digital values as output.","PeriodicalId":118897,"journal":{"name":"2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123066993","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 : 2019-04-01DOI: 10.1109/ICIICT1.2019.8741472
A.Singara RajivaLochana, K. Arthi
The arrangements of nodes in the network identifies the complexity of the network. To reduce the complexity, a structural arrangements of nodes has to be taken care. The mesh topology yields attraction than the other traditional topologies. Making the opposite corner nodes to communicate with less hops and avoiding the centre of the networks traffic, Over-Looped 2D Mesh Topology is proposed. For a homogeneous systems the proposed work can be deployed without altering any of the switch component compositions. By making the flits, travel in the outer corner nodes with the help of looping nodes will make the journey from source to destination with less hops. For smaller network below 4x4 the looping is less responsive. For odd or even number of columns and rows the looping can be done. The number of columns and number of rows need not to be equal. The left over nodes will be looped accordingly. The hop count of the Over-Looped 2D Mesh Topology compared to 2D mesh decreases the journey by 25%. The wiring segmentation and the wiring length of the system more than 10 % from 2D mesh and less than 20% from 2D Torus.
{"title":"Over Looped 2d Mesh Topology for Network on Chip","authors":"A.Singara RajivaLochana, K. Arthi","doi":"10.1109/ICIICT1.2019.8741472","DOIUrl":"https://doi.org/10.1109/ICIICT1.2019.8741472","url":null,"abstract":"The arrangements of nodes in the network identifies the complexity of the network. To reduce the complexity, a structural arrangements of nodes has to be taken care. The mesh topology yields attraction than the other traditional topologies. Making the opposite corner nodes to communicate with less hops and avoiding the centre of the networks traffic, Over-Looped 2D Mesh Topology is proposed. For a homogeneous systems the proposed work can be deployed without altering any of the switch component compositions. By making the flits, travel in the outer corner nodes with the help of looping nodes will make the journey from source to destination with less hops. For smaller network below 4x4 the looping is less responsive. For odd or even number of columns and rows the looping can be done. The number of columns and number of rows need not to be equal. The left over nodes will be looped accordingly. The hop count of the Over-Looped 2D Mesh Topology compared to 2D mesh decreases the journey by 25%. The wiring segmentation and the wiring length of the system more than 10 % from 2D mesh and less than 20% from 2D Torus.","PeriodicalId":118897,"journal":{"name":"2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127585575","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 : 2019-04-01DOI: 10.1109/ICIICT1.2019.8741436
K. K, B. K, M. J.
In this paper, a sinusoidal pulse width modulation (SPWM) based control strategy proposed for the cascaded switched diode (CSD) multilevel inverter instead of clock phase shifting based control strategy. The proposed cascaded switched diode multilevel inverter (CSDMLI) scheme connected to two identical resistive loads. The operation of the proposed MLI analyzed in both single and multiple load conditions and reduction in harmonic content of up to 12.76 per cent obtained while feeding multiple loads compared to the existing control strategy, which yields a harmonic distortion of 16.82%. Simple pulse-width modulation scheme used for switching between the loads. Simulation output affirms the validity and performance of proposed control strategy for Multiple Input Multiple Output based Cascaded Switched Diode based multilevel inverter system.
{"title":"Modified Cascaded Switched Diode Multilevel inverter with multiple outputs and reduced harmonic content","authors":"K. K, B. K, M. J.","doi":"10.1109/ICIICT1.2019.8741436","DOIUrl":"https://doi.org/10.1109/ICIICT1.2019.8741436","url":null,"abstract":"In this paper, a sinusoidal pulse width modulation (SPWM) based control strategy proposed for the cascaded switched diode (CSD) multilevel inverter instead of clock phase shifting based control strategy. The proposed cascaded switched diode multilevel inverter (CSDMLI) scheme connected to two identical resistive loads. The operation of the proposed MLI analyzed in both single and multiple load conditions and reduction in harmonic content of up to 12.76 per cent obtained while feeding multiple loads compared to the existing control strategy, which yields a harmonic distortion of 16.82%. Simple pulse-width modulation scheme used for switching between the loads. Simulation output affirms the validity and performance of proposed control strategy for Multiple Input Multiple Output based Cascaded Switched Diode based multilevel inverter system.","PeriodicalId":118897,"journal":{"name":"2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127718625","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 : 2019-04-01DOI: 10.1109/ICIICT1.2019.8741416
Hashrin C P, Amal Jossy, Sudhakaran K, Thushara A, Ansamma John
Construction of an Optical Character Recognition (OCR) model for handwritten documents poses many challenges, the most prominent of them being dataset collection, character segmentation and classification. This paper focuses on the segmentation part, and presents a novel approach to segment individual characters from Malayalam handwritten documents. It is a three-stage approach where morphological operations, contour analysis, and bounding box detection are used to extract individual lines from the document, words from each line, and then characters from each word. An additional masking method is performed to tackle the overlapping of bounding boxes due to skewed lines and the presence of diacritics. The segmented characters can either be used to create datasets or fed to OCR models.
{"title":"Segmenting Characters from Malayalam Handwritten Documents","authors":"Hashrin C P, Amal Jossy, Sudhakaran K, Thushara A, Ansamma John","doi":"10.1109/ICIICT1.2019.8741416","DOIUrl":"https://doi.org/10.1109/ICIICT1.2019.8741416","url":null,"abstract":"Construction of an Optical Character Recognition (OCR) model for handwritten documents poses many challenges, the most prominent of them being dataset collection, character segmentation and classification. This paper focuses on the segmentation part, and presents a novel approach to segment individual characters from Malayalam handwritten documents. It is a three-stage approach where morphological operations, contour analysis, and bounding box detection are used to extract individual lines from the document, words from each line, and then characters from each word. An additional masking method is performed to tackle the overlapping of bounding boxes due to skewed lines and the presence of diacritics. The segmented characters can either be used to create datasets or fed to OCR models.","PeriodicalId":118897,"journal":{"name":"2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131902887","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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