Pub Date : 1900-01-01DOI: 10.1109/ISCO.2017.7855969
Sruthy T. S., Frieda Mohan
Power developed in a Photovoltaic (PV) system is greatly depends on the solar irradiation and the load. There are lot of methods used to track the maximum power point (MPP) under varying solar irradiation. In conventional methods the algorithm require an extra control loop or intermittent disconnection of the PV module to track the MPP, so power dissipation is higher. Here an algorithm is explained to track the MPP under both irradiation and load resistance variation using relationship between load line and MPP locus. Duty cycle of a Single-Ended Primary Inductor Converter (SEPIC) is adjusted to reach the MPP under varying irradiation and load resistance there by convergence speed can be improved. dsPIC controller is used to measure the voltage and current and executes the algorithm.
{"title":"Fast-converging MPPT technique for Photovoltaic system using dsPIC controller","authors":"Sruthy T. S., Frieda Mohan","doi":"10.1109/ISCO.2017.7855969","DOIUrl":"https://doi.org/10.1109/ISCO.2017.7855969","url":null,"abstract":"Power developed in a Photovoltaic (PV) system is greatly depends on the solar irradiation and the load. There are lot of methods used to track the maximum power point (MPP) under varying solar irradiation. In conventional methods the algorithm require an extra control loop or intermittent disconnection of the PV module to track the MPP, so power dissipation is higher. Here an algorithm is explained to track the MPP under both irradiation and load resistance variation using relationship between load line and MPP locus. Duty cycle of a Single-Ended Primary Inductor Converter (SEPIC) is adjusted to reach the MPP under varying irradiation and load resistance there by convergence speed can be improved. dsPIC controller is used to measure the voltage and current and executes the algorithm.","PeriodicalId":321113,"journal":{"name":"2017 11th International Conference on Intelligent Systems and Control (ISCO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134258842","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 : 1900-01-01DOI: 10.1109/ISCO.2017.7855953
R. Moharil, Paresh Yeole, Sanchit Gupta, Ashutosh Kumar
This paper presents the development and features of a Scilab based user-friendly CSIT (Control Systems Interactive Tool). It is an Open Source Graphical User Interface (GUI) tool that contains basic functions to learn and analyze Control Systems at undergraduate and graduate levels. Using this tool, one can compare the system plots and parameters of different systems in time and frequency domains. The tool also supports a “know concept” button, represented in the form of “?” symbol adjacent to the function to display the concept related to the function. A student is not required to learn any programming language to use this tool.
{"title":"CSIT: An Open Source and interactive GUI based tool for learning and analyzing Control Systems","authors":"R. Moharil, Paresh Yeole, Sanchit Gupta, Ashutosh Kumar","doi":"10.1109/ISCO.2017.7855953","DOIUrl":"https://doi.org/10.1109/ISCO.2017.7855953","url":null,"abstract":"This paper presents the development and features of a Scilab based user-friendly CSIT (Control Systems Interactive Tool). It is an Open Source Graphical User Interface (GUI) tool that contains basic functions to learn and analyze Control Systems at undergraduate and graduate levels. Using this tool, one can compare the system plots and parameters of different systems in time and frequency domains. The tool also supports a “know concept” button, represented in the form of “?” symbol adjacent to the function to display the concept related to the function. A student is not required to learn any programming language to use this tool.","PeriodicalId":321113,"journal":{"name":"2017 11th International Conference on Intelligent Systems and Control (ISCO)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133264584","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 : 1900-01-01DOI: 10.1109/ISCO.2017.7856005
Sandeep K. Shelke, V. Nitnaware, Suresh K. Rode
Nowadays, the development of VLSI technology mainly directed towards the minimization of semiconductor devices which is heavily dependent on the advancement in CMOS technology. The minimum dimension of single devices in present day's technology is below 100nm in channel length. As CMOS technology dimension is aggressively being scaled down, there are certain limitations on how small a transistor can be developed with conventional CMOS techniques. Hence the transistors are developed with different alternative techniques to overcome these limitations as MUGFET, FINFET & FDSOI techniques. This paper is focused on design of ring oscillator with 32nm conventional CMOS transistor & with 32nm FDSOI transitory in HSpice software. With ring oscillator designed using FDSOI(Fully depleted silicon on insulator) transistor has 400% better supply voltage stability, 200% better process (Gate length) stability & nearly an ideal performance for temperature variation range from 0°C to 125°C as compare with conventional CMOS transistor.
{"title":"Design of ring oscillator with better temperature, supply voltage & process stability with 32nm FDSOI transistor for ISM band application","authors":"Sandeep K. Shelke, V. Nitnaware, Suresh K. Rode","doi":"10.1109/ISCO.2017.7856005","DOIUrl":"https://doi.org/10.1109/ISCO.2017.7856005","url":null,"abstract":"Nowadays, the development of VLSI technology mainly directed towards the minimization of semiconductor devices which is heavily dependent on the advancement in CMOS technology. The minimum dimension of single devices in present day's technology is below 100nm in channel length. As CMOS technology dimension is aggressively being scaled down, there are certain limitations on how small a transistor can be developed with conventional CMOS techniques. Hence the transistors are developed with different alternative techniques to overcome these limitations as MUGFET, FINFET & FDSOI techniques. This paper is focused on design of ring oscillator with 32nm conventional CMOS transistor & with 32nm FDSOI transitory in HSpice software. With ring oscillator designed using FDSOI(Fully depleted silicon on insulator) transistor has 400% better supply voltage stability, 200% better process (Gate length) stability & nearly an ideal performance for temperature variation range from 0°C to 125°C as compare with conventional CMOS transistor.","PeriodicalId":321113,"journal":{"name":"2017 11th International Conference on Intelligent Systems and Control (ISCO)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133278738","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 : 1900-01-01DOI: 10.1109/ISCO.2017.7856038
M. Gowsalyaa, R. Sabitha, S. Karthik
In wireless ad hoc network the wireless sensor networks form a great part in the recent period. There are many challenging issues that have been faced in the wireless sensor networks. Data collection by improving the throughput performance forms a great issue. To increase the throughput performance over a dense area network with large number of sensor nodes energy consumption with pre-specified path is the major part for the data collection and it is provided by the use of Energy Harvesting Sensor Network such a way that the sensor nodes may able to collect large number of data from the global environment by reducing the data delivery rate. Based on this issue various techniques and algorithms have been proposed.
{"title":"A survey on maximum data collection with a pre-defined path and distance allocation","authors":"M. Gowsalyaa, R. Sabitha, S. Karthik","doi":"10.1109/ISCO.2017.7856038","DOIUrl":"https://doi.org/10.1109/ISCO.2017.7856038","url":null,"abstract":"In wireless ad hoc network the wireless sensor networks form a great part in the recent period. There are many challenging issues that have been faced in the wireless sensor networks. Data collection by improving the throughput performance forms a great issue. To increase the throughput performance over a dense area network with large number of sensor nodes energy consumption with pre-specified path is the major part for the data collection and it is provided by the use of Energy Harvesting Sensor Network such a way that the sensor nodes may able to collect large number of data from the global environment by reducing the data delivery rate. Based on this issue various techniques and algorithms have been proposed.","PeriodicalId":321113,"journal":{"name":"2017 11th International Conference on Intelligent Systems and Control (ISCO)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121604112","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 : 1900-01-01DOI: 10.1109/ISCO.2017.7855985
Ankita N. Chadha, J. Nirmal
Speaker Transformation adapts the speaker dependent characteristics of the source speaker according to that of a target speaker, so that it is perceived like the target speaker. Speaker Transformation is generally carried out using speech analysis-synthesis system. The full-band adaptive Harmonic Model (a-HM) based analysis-synthesis has ability to produce a high quality resynthesized speech. Thus inn this paper, a full band a-HM is proposed to represent the speaker dependent parameters of the source and target speech signal. The Radial Basis Function (RBF) neural network is developed to capture non-linear relationship between source and target a-HM based features. In the state of art method, Line Spectral Frequency (LSF) is used to represent the vocal tract and LP-residual for the glottal excitation of the speech signal. The RBF is used to map the LSF of source speaker to that of the target speakers and state of art residual selection method is used for modification of source residual to that of target residual. The performance of the proposed a-HM based speaker transformation is compared with the state of the art features using various objective and subjective measures. The results reveal that the a-HM feature based speaker transformation performs profoundly well in contrast to the state of the art technique.
{"title":"A full band adaptive Harmonic Model based Speaker Identity Transformation using Radial Basis Function","authors":"Ankita N. Chadha, J. Nirmal","doi":"10.1109/ISCO.2017.7855985","DOIUrl":"https://doi.org/10.1109/ISCO.2017.7855985","url":null,"abstract":"Speaker Transformation adapts the speaker dependent characteristics of the source speaker according to that of a target speaker, so that it is perceived like the target speaker. Speaker Transformation is generally carried out using speech analysis-synthesis system. The full-band adaptive Harmonic Model (a-HM) based analysis-synthesis has ability to produce a high quality resynthesized speech. Thus inn this paper, a full band a-HM is proposed to represent the speaker dependent parameters of the source and target speech signal. The Radial Basis Function (RBF) neural network is developed to capture non-linear relationship between source and target a-HM based features. In the state of art method, Line Spectral Frequency (LSF) is used to represent the vocal tract and LP-residual for the glottal excitation of the speech signal. The RBF is used to map the LSF of source speaker to that of the target speakers and state of art residual selection method is used for modification of source residual to that of target residual. The performance of the proposed a-HM based speaker transformation is compared with the state of the art features using various objective and subjective measures. The results reveal that the a-HM feature based speaker transformation performs profoundly well in contrast to the state of the art technique.","PeriodicalId":321113,"journal":{"name":"2017 11th International Conference on Intelligent Systems and Control (ISCO)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128063554","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 : 1900-01-01DOI: 10.1109/ISCO.2017.7855991
Saurabh Sharma, R. Sharma
MANETs are an upcoming technology that is gaining momentum in recent years. Due to their unique characteristics, MANETs are suffering from wide range of security attacks. Wormhole is a common security issue encounter in MANETs routing protocol. A new routing protocol naming extended prime product number (EPPN) based on the hop count model is proposed in this article. Here hop count between source & destination is obtained depending upon the current active route. This hop count model is integrated into AODV protocol. In the proposed scheme firstly the route is selected on the basis of RREP and then hop count model calculates the hop count between source & destination. Finally wormhole DETECTION procedure will be started if the calculated hop count is greater than the received hop count in the route to get out the suspected nodes.
{"title":"EPPN: Extended Prime Product Number based wormhole DETECTION scheme for MANETs","authors":"Saurabh Sharma, R. Sharma","doi":"10.1109/ISCO.2017.7855991","DOIUrl":"https://doi.org/10.1109/ISCO.2017.7855991","url":null,"abstract":"MANETs are an upcoming technology that is gaining momentum in recent years. Due to their unique characteristics, MANETs are suffering from wide range of security attacks. Wormhole is a common security issue encounter in MANETs routing protocol. A new routing protocol naming extended prime product number (EPPN) based on the hop count model is proposed in this article. Here hop count between source & destination is obtained depending upon the current active route. This hop count model is integrated into AODV protocol. In the proposed scheme firstly the route is selected on the basis of RREP and then hop count model calculates the hop count between source & destination. Finally wormhole DETECTION procedure will be started if the calculated hop count is greater than the received hop count in the route to get out the suspected nodes.","PeriodicalId":321113,"journal":{"name":"2017 11th International Conference on Intelligent Systems and Control (ISCO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130512984","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 : 1900-01-01DOI: 10.1109/ISCO.2017.7855983
N. Bhargava, Sonia Dayma, Abishek Kumar, Pramod Singh
This decision tree is normally applicable in data mining in order to produce a framework that predicts the value of object or its dependent variable, established on the various input or independent variable. CART algorithms are mainly used in Medical, Statistics etc. For heart disease patients it is complex for medical practitioners to predict the heart attack as it is a complex task that requires experience and knowledge. First part of paper has introduced the CART algorithm with associative applications and its classification method. Other part has represented a real world dataset of male patient taken for further analysis.
{"title":"An approach for classification using simple CART algorithm in WEKA","authors":"N. Bhargava, Sonia Dayma, Abishek Kumar, Pramod Singh","doi":"10.1109/ISCO.2017.7855983","DOIUrl":"https://doi.org/10.1109/ISCO.2017.7855983","url":null,"abstract":"This decision tree is normally applicable in data mining in order to produce a framework that predicts the value of object or its dependent variable, established on the various input or independent variable. CART algorithms are mainly used in Medical, Statistics etc. For heart disease patients it is complex for medical practitioners to predict the heart attack as it is a complex task that requires experience and knowledge. First part of paper has introduced the CART algorithm with associative applications and its classification method. Other part has represented a real world dataset of male patient taken for further analysis.","PeriodicalId":321113,"journal":{"name":"2017 11th International Conference on Intelligent Systems and Control (ISCO)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133155996","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 : 1900-01-01DOI: 10.1109/ISCO.2017.7855999
K. Ramkumar, P. Newton
Scheduling process is a tedious task in heterogeneous networks because of the large number of users and the reduced radio resource facilities. Scheduling is nothing but granting certain number of sources to the users in a frequency and timing fashion. Resources define the symbols and subcarriers for transmitting the bits in scheduling. There are many ways to assign these things to the subscribers. Interference is one of the biggest issues in downlink scheduling algorithms. Due to high demands of the user requirement and speed, the network fails to validate their interference ranges and finally it assigns the resources wrongly. This cause the Non-Interference users get more number of blocks when comparing with the Interference users. This paper proposes a new technique to overcome the above issue and assign the resources starting from the users who are in non-interference range to interference range users. The outcome of the proposed work properly assigns the resources and increases the system throughput of the standard subscribers and also mitigates the wrong resource block assignment of the interference users.
{"title":"Interference aware downlink scheduling algorithm in Mobile networks","authors":"K. Ramkumar, P. Newton","doi":"10.1109/ISCO.2017.7855999","DOIUrl":"https://doi.org/10.1109/ISCO.2017.7855999","url":null,"abstract":"Scheduling process is a tedious task in heterogeneous networks because of the large number of users and the reduced radio resource facilities. Scheduling is nothing but granting certain number of sources to the users in a frequency and timing fashion. Resources define the symbols and subcarriers for transmitting the bits in scheduling. There are many ways to assign these things to the subscribers. Interference is one of the biggest issues in downlink scheduling algorithms. Due to high demands of the user requirement and speed, the network fails to validate their interference ranges and finally it assigns the resources wrongly. This cause the Non-Interference users get more number of blocks when comparing with the Interference users. This paper proposes a new technique to overcome the above issue and assign the resources starting from the users who are in non-interference range to interference range users. The outcome of the proposed work properly assigns the resources and increases the system throughput of the standard subscribers and also mitigates the wrong resource block assignment of the interference users.","PeriodicalId":321113,"journal":{"name":"2017 11th International Conference on Intelligent Systems and Control (ISCO)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125066699","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 : 1900-01-01DOI: 10.1109/ISCO.2017.7856003
Deepti Yadav, A. Tripathi
Wireless body area network is an application of sensor network and open for research in our propose work we Firstly we begin with the round of transmission for selecting cluster head, for that we have to define a criteria that is based on specific energy values for selecting a node as cluster head, In the phase of selecting cluster head a probability distribution is utilized that is relayed on probabilistic clustering, After selecting cluster head, a cluster region is established around the specific cluster head, node belonging to that particular region is referred as cluster members. In the transmission phase, members send their data to cluster head and cluster head forward the gathered data to the destination straight forwardly, with transmission of each packet, a signature is appended among the data packets transmitted.
{"title":"Load balancing and position based adaptive clustering scheme for effective data communication in WBAN healthcare monitoring systems","authors":"Deepti Yadav, A. Tripathi","doi":"10.1109/ISCO.2017.7856003","DOIUrl":"https://doi.org/10.1109/ISCO.2017.7856003","url":null,"abstract":"Wireless body area network is an application of sensor network and open for research in our propose work we Firstly we begin with the round of transmission for selecting cluster head, for that we have to define a criteria that is based on specific energy values for selecting a node as cluster head, In the phase of selecting cluster head a probability distribution is utilized that is relayed on probabilistic clustering, After selecting cluster head, a cluster region is established around the specific cluster head, node belonging to that particular region is referred as cluster members. In the transmission phase, members send their data to cluster head and cluster head forward the gathered data to the destination straight forwardly, with transmission of each packet, a signature is appended among the data packets transmitted.","PeriodicalId":321113,"journal":{"name":"2017 11th International Conference on Intelligent Systems and Control (ISCO)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125086256","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 : 1900-01-01DOI: 10.1109/ISCO.2017.7856015
P. Rajesh, K. Umamaheswari
This paper presents the coupling of frequency spectra or degree of association between the EEG and ECG signals at a particular frequency. Coherence is often interpreted as a measure of a functional association and ‘coupling’ between two signals. An electrocardiogram (ECG) is an electrical recording of the heart and is used in the investigation of heart disease. An electrocardiogram (ECG) is a graphic tracing of the electric current generated by the heart muscle during heart beat. It has been used extensively in medicine since it has been proven to be invaluable in various diagnostics applications and clinical applications. An EEG signal reflects the electrical activity of human brain. EEG signals arises from the fact that these waveforms provide the non-invasive diagnostic tool in a wealth of disorders that include epilepsy and comma assessment in intensive e care unit. In this paper, we analyzed the association of heart with brain signals (ECG and EEG) of fundamental animals like Dog and Cow by obtaining magnitude squared coherence and phase coherence parameters at a certain range of frequency. We also analyzed the coherence between heart and brain signals of Healthy subject, Comatic patient and Brain dead person.
{"title":"Coherence analysis between heart and brain of healthy and unhealthy subjects","authors":"P. Rajesh, K. Umamaheswari","doi":"10.1109/ISCO.2017.7856015","DOIUrl":"https://doi.org/10.1109/ISCO.2017.7856015","url":null,"abstract":"This paper presents the coupling of frequency spectra or degree of association between the EEG and ECG signals at a particular frequency. Coherence is often interpreted as a measure of a functional association and ‘coupling’ between two signals. An electrocardiogram (ECG) is an electrical recording of the heart and is used in the investigation of heart disease. An electrocardiogram (ECG) is a graphic tracing of the electric current generated by the heart muscle during heart beat. It has been used extensively in medicine since it has been proven to be invaluable in various diagnostics applications and clinical applications. An EEG signal reflects the electrical activity of human brain. EEG signals arises from the fact that these waveforms provide the non-invasive diagnostic tool in a wealth of disorders that include epilepsy and comma assessment in intensive e care unit. In this paper, we analyzed the association of heart with brain signals (ECG and EEG) of fundamental animals like Dog and Cow by obtaining magnitude squared coherence and phase coherence parameters at a certain range of frequency. We also analyzed the coherence between heart and brain signals of Healthy subject, Comatic patient and Brain dead person.","PeriodicalId":321113,"journal":{"name":"2017 11th International Conference on Intelligent Systems and Control (ISCO)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128204906","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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