Pub Date : 2020-12-01DOI: 10.1109/ICRAIE51050.2020.9358355
S. Hatim, S. J. Elias, Razizul Mohamad Ali, Jamaluddin Jasmis, A. Aziz, S. Mansor
The revolutionary of Internet of Things (IoT) is currently enabling the transformation of various existing research areas into new themes involving smart mobility, smart home, smart health and smart transport. Focusing on the smart transport, it actually leads towards the development of smart cities. For this purpose, Internet of Vehicles (IoV) is evolving, replacing the previous mobile-based vehicular adhoc network (VANET). This review paper presents a collective discovery on the IoV network model and the rational of introducing and implementing blockchain-based IoV (BIoV). BIoV is the solution to the basic IoV whereby it promises a secured and trusted network and connection to the users. Data stored in blockchain is transparent and users in the network need a key to download the relevant information. Thus, it is proved that blockchain is not easily can be breached by any attacks.
{"title":"Blockchain-based Internet of Vehicles (BIoV): An Approach Towards Smart Cities Development","authors":"S. Hatim, S. J. Elias, Razizul Mohamad Ali, Jamaluddin Jasmis, A. Aziz, S. Mansor","doi":"10.1109/ICRAIE51050.2020.9358355","DOIUrl":"https://doi.org/10.1109/ICRAIE51050.2020.9358355","url":null,"abstract":"The revolutionary of Internet of Things (IoT) is currently enabling the transformation of various existing research areas into new themes involving smart mobility, smart home, smart health and smart transport. Focusing on the smart transport, it actually leads towards the development of smart cities. For this purpose, Internet of Vehicles (IoV) is evolving, replacing the previous mobile-based vehicular adhoc network (VANET). This review paper presents a collective discovery on the IoV network model and the rational of introducing and implementing blockchain-based IoV (BIoV). BIoV is the solution to the basic IoV whereby it promises a secured and trusted network and connection to the users. Data stored in blockchain is transparent and users in the network need a key to download the relevant information. Thus, it is proved that blockchain is not easily can be breached by any attacks.","PeriodicalId":149717,"journal":{"name":"2020 5th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130178746","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 : 2020-12-01DOI: 10.1109/icraie51050.2020.9358311
Glimpses of ICRAIE 2014
2014 年国际橡塑工业展览会掠影
{"title":"Glimpses of ICRAIE 2014","authors":"","doi":"10.1109/icraie51050.2020.9358311","DOIUrl":"https://doi.org/10.1109/icraie51050.2020.9358311","url":null,"abstract":"Glimpses of ICRAIE 2014","PeriodicalId":149717,"journal":{"name":"2020 5th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126302284","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 : 2020-12-01DOI: 10.1109/ICRAIE51050.2020.9358276
Deepti, A. Khunteta, A. Noonia
In this paper, a clustering algorithm named ICRA, which is based on Breadth first search approach has proposed. In this algorithm a new robust criterion NCN has introduced for deciding which vertex processing first from the list of vertices which are not present in any cluster. It efficiently mines the ordered sequences and update as well. This work is useful in community mining in social network analysis. The proposed algorithm is inspired by CRA algorithm, which does clustering twice. The proposed approach suits signed social networks too, and effectively mine negative vertices. In addition, this algorithm improves the predictive performance; especially for negative linked inter-communities datasets hence increases the accuracy when tested with the Gahuku - Gama dataset.
{"title":"An Efficient Two Stage Clustering Algorithm for Signed Social Networks","authors":"Deepti, A. Khunteta, A. Noonia","doi":"10.1109/ICRAIE51050.2020.9358276","DOIUrl":"https://doi.org/10.1109/ICRAIE51050.2020.9358276","url":null,"abstract":"In this paper, a clustering algorithm named ICRA, which is based on Breadth first search approach has proposed. In this algorithm a new robust criterion NCN has introduced for deciding which vertex processing first from the list of vertices which are not present in any cluster. It efficiently mines the ordered sequences and update as well. This work is useful in community mining in social network analysis. The proposed algorithm is inspired by CRA algorithm, which does clustering twice. The proposed approach suits signed social networks too, and effectively mine negative vertices. In addition, this algorithm improves the predictive performance; especially for negative linked inter-communities datasets hence increases the accuracy when tested with the Gahuku - Gama dataset.","PeriodicalId":149717,"journal":{"name":"2020 5th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE)","volume":"386 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126329799","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 : 2020-12-01DOI: 10.1109/ICRAIE51050.2020.9358381
Diksha Murlidhar Kharat, M. Morey
This paper presents a proposed model of Impedance-Sourced Inverter (ZSI) for the Three-Phase PV System which is further connected to the grid. ZSI implements shoot-through mode for controlling output voltage which differs from conventional VSI. Shoot through mode is implementing in ZSI for performing the buck-boost operation on Input Voltage by modification of the conventional PWM Technique. Power Conversion of Single Stage is achieved by the Z-source circuitry. Validation of output results is achieved by simulating the PV module in the MATLAB/Simulink platform.
{"title":"Solar PV fed Proposed Simple Boost Controlled Z-Source Inverter for Grid","authors":"Diksha Murlidhar Kharat, M. Morey","doi":"10.1109/ICRAIE51050.2020.9358381","DOIUrl":"https://doi.org/10.1109/ICRAIE51050.2020.9358381","url":null,"abstract":"This paper presents a proposed model of Impedance-Sourced Inverter (ZSI) for the Three-Phase PV System which is further connected to the grid. ZSI implements shoot-through mode for controlling output voltage which differs from conventional VSI. Shoot through mode is implementing in ZSI for performing the buck-boost operation on Input Voltage by modification of the conventional PWM Technique. Power Conversion of Single Stage is achieved by the Z-source circuitry. Validation of output results is achieved by simulating the PV module in the MATLAB/Simulink platform.","PeriodicalId":149717,"journal":{"name":"2020 5th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122264546","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}
The emerging novel coronavirus (2019-nCoV) caused by a respiratory syndrome coronavirus 2 (SARS-CoV-2) is the lead cause of threat to life worldwide today. It is important to analyze the worldwide pandemic spread so that certain guide strategies can be set for complete situational awareness and application of conventional methodologies to control the impacts caused by it globally. This paper is composed of the visual exploratory data analysis of the countries based on the number of confirmed, recovered and death cases along with the comparative analysis of the mortality and recovery rate for nearly 222 nations worldwide. Also, K-means clustering is used to cluster the countries according to the number of confirmed and death cases. Hence, this study can be used to evaluate the rise of risks in a given area by comparing the count of the cases via visual analysis and work on the set up of some strategies to control its spread globally.
{"title":"Visual Exploratory Data Analysis of COVID-19 Pandemic","authors":"Sumindar Kaur Saini, Vishal Dhull, Sarbjeet Singh, Akashdeep Sharma","doi":"10.1109/ICRAIE51050.2020.9358331","DOIUrl":"https://doi.org/10.1109/ICRAIE51050.2020.9358331","url":null,"abstract":"The emerging novel coronavirus (2019-nCoV) caused by a respiratory syndrome coronavirus 2 (SARS-CoV-2) is the lead cause of threat to life worldwide today. It is important to analyze the worldwide pandemic spread so that certain guide strategies can be set for complete situational awareness and application of conventional methodologies to control the impacts caused by it globally. This paper is composed of the visual exploratory data analysis of the countries based on the number of confirmed, recovered and death cases along with the comparative analysis of the mortality and recovery rate for nearly 222 nations worldwide. Also, K-means clustering is used to cluster the countries according to the number of confirmed and death cases. Hence, this study can be used to evaluate the rise of risks in a given area by comparing the count of the cases via visual analysis and work on the set up of some strategies to control its spread globally.","PeriodicalId":149717,"journal":{"name":"2020 5th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115270332","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 : 2020-12-01DOI: 10.1109/ICRAIE51050.2020.9358296
Manibha Sharma, J. Dhanoa
DFT (Design for Testability) is a methodology of testing for manufacturing defects in a chip. DFT consists of scan, ATPG (Automatic test pattern generation) methodologies and the BIST (Built in self-test) methods. This paper explores ATPG for pattern generation and LBIST (Logic built-in self-test) for testing. LBIST is explored and tested using pseudorandom test pattern generation. The fault list created for undetected faults are dumped into ATPG and fault specific test patterns are generated. These patterns detect the random pattern resistant faults (which are undetected by pseudorandom testing patterns). Further, a smart compression algorithm is defined to compress the pattern which can be stored inside the chip for LBIST testing, with no added memory overhead, and the minimum extra hardware (which only comprises of combinational logic). The proposed algorithm has been reviewed and analyzed and it has been found that the fault coverage achieved is 86.01%.
{"title":"Smart Logic Built in Self-Test in SOC","authors":"Manibha Sharma, J. Dhanoa","doi":"10.1109/ICRAIE51050.2020.9358296","DOIUrl":"https://doi.org/10.1109/ICRAIE51050.2020.9358296","url":null,"abstract":"DFT (Design for Testability) is a methodology of testing for manufacturing defects in a chip. DFT consists of scan, ATPG (Automatic test pattern generation) methodologies and the BIST (Built in self-test) methods. This paper explores ATPG for pattern generation and LBIST (Logic built-in self-test) for testing. LBIST is explored and tested using pseudorandom test pattern generation. The fault list created for undetected faults are dumped into ATPG and fault specific test patterns are generated. These patterns detect the random pattern resistant faults (which are undetected by pseudorandom testing patterns). Further, a smart compression algorithm is defined to compress the pattern which can be stored inside the chip for LBIST testing, with no added memory overhead, and the minimum extra hardware (which only comprises of combinational logic). The proposed algorithm has been reviewed and analyzed and it has been found that the fault coverage achieved is 86.01%.","PeriodicalId":149717,"journal":{"name":"2020 5th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114942802","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 : 2020-12-01DOI: 10.1109/ICRAIE51050.2020.9358306
Debadrata Sarkar, Sayantan Pal, S. Roy, Amit Kumar, Aman Arora
The article presents a technique to estimate the force transmitted in pneumatic artificial muscle based assistive devices by sensorizing the actuator. For this purpose, the development of a conductive liquid metal based elastomeric strain sensor has been discussed with the required characterization of its performance. A comparative analysis is shown between the modes of attachment of the developed sensor on the actuator so as to obtain a proper range of response from the sensor. A two-step algorithm has been implemented to estimate the force transmitted in series from an actuator used to assist the human knee and ankle during walking. The estimation results are validated against the readings from an actual inline loadcell, showing good agreement with one another.
{"title":"Estimation of Transmission Force in Assistive Devices using Conductive Liquid Metal based Sensorized Pneumatic Artificial Muscle","authors":"Debadrata Sarkar, Sayantan Pal, S. Roy, Amit Kumar, Aman Arora","doi":"10.1109/ICRAIE51050.2020.9358306","DOIUrl":"https://doi.org/10.1109/ICRAIE51050.2020.9358306","url":null,"abstract":"The article presents a technique to estimate the force transmitted in pneumatic artificial muscle based assistive devices by sensorizing the actuator. For this purpose, the development of a conductive liquid metal based elastomeric strain sensor has been discussed with the required characterization of its performance. A comparative analysis is shown between the modes of attachment of the developed sensor on the actuator so as to obtain a proper range of response from the sensor. A two-step algorithm has been implemented to estimate the force transmitted in series from an actuator used to assist the human knee and ankle during walking. The estimation results are validated against the readings from an actual inline loadcell, showing good agreement with one another.","PeriodicalId":149717,"journal":{"name":"2020 5th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125205185","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 : 2020-12-01DOI: 10.1109/ICRAIE51050.2020.9358345
Aradhana Khillo, S. S. Patnaik
This paper provides the PSO based control scheme for regulation of active power and reactive power flow across the HVDC-VSC.VSC-HVDC system provides freedom of individual and independent control of active and reactive power in synchronous reference frame. PSO is based on the principle of “survival of the fittest”, originating from the idea of describing the mechanism of natural selection of the best food location. PSO provides the scope of self-tuning of the PI controller i.e with the change in system operating condition, the controller adjusts itself or tunes itself, thereby regulating the active power and reactive power. Also, PSO depend on the value of the objective function thereby making the computation less tedious and easy for implementation. The system is subjected to AC faults, and the response of the system is validated using MATLAB/SIMULINK platform.
{"title":"Performance Analysis of 6-Pulse HVDC-VSC using Particle Swarm Optimization(PSO) Based controller in d-q Reference Frame Under Transient AC Fault Conditions","authors":"Aradhana Khillo, S. S. Patnaik","doi":"10.1109/ICRAIE51050.2020.9358345","DOIUrl":"https://doi.org/10.1109/ICRAIE51050.2020.9358345","url":null,"abstract":"This paper provides the PSO based control scheme for regulation of active power and reactive power flow across the HVDC-VSC.VSC-HVDC system provides freedom of individual and independent control of active and reactive power in synchronous reference frame. PSO is based on the principle of “survival of the fittest”, originating from the idea of describing the mechanism of natural selection of the best food location. PSO provides the scope of self-tuning of the PI controller i.e with the change in system operating condition, the controller adjusts itself or tunes itself, thereby regulating the active power and reactive power. Also, PSO depend on the value of the objective function thereby making the computation less tedious and easy for implementation. The system is subjected to AC faults, and the response of the system is validated using MATLAB/SIMULINK platform.","PeriodicalId":149717,"journal":{"name":"2020 5th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129762777","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 : 2020-12-01DOI: 10.1109/ICRAIE51050.2020.9358385
B. Karthika, V. R. Jisha
Two wheeled self balancing robots have dynamic behaviour and are unstable in nature. Due to this, stabilizing of these robots has become a field of interest to many researchers. Around the equilibrium point of two wheeled self balancing mobile robot, the pitch angles are very small. Hence the balancing is achieved commonly by using linear control methods such as LQR(Linear Quadratic Regulator) control, PID(Proportional Integral Derivative) control etc. But the robots with large pitch angles tends to be in a region of high nonlinear behavior. Hence the linear control techniques fails in maintaining the balance of the robot. To remedy this problem and for improving the performances of the robot, an SDRE(State Dependent Riccati Equation) controller is designed along with SDC (State Dependent Coefficient) Matrix. Simulations are done to check the stability using SDRE controllers. A comparison is done using SDRE, PID and LQR controllers for the system with nonlinear dynamics. Also a comparison is done using PID and LQR controllers for the system with linear dynamics. From the simulations it is clear that SDRE controller shows excellent balancing for the two wheeled self balancing robot when compared to PID and LQR controllers.
{"title":"Nonlinear Optimal Control of a Two Wheeled Self Balancing Robot","authors":"B. Karthika, V. R. Jisha","doi":"10.1109/ICRAIE51050.2020.9358385","DOIUrl":"https://doi.org/10.1109/ICRAIE51050.2020.9358385","url":null,"abstract":"Two wheeled self balancing robots have dynamic behaviour and are unstable in nature. Due to this, stabilizing of these robots has become a field of interest to many researchers. Around the equilibrium point of two wheeled self balancing mobile robot, the pitch angles are very small. Hence the balancing is achieved commonly by using linear control methods such as LQR(Linear Quadratic Regulator) control, PID(Proportional Integral Derivative) control etc. But the robots with large pitch angles tends to be in a region of high nonlinear behavior. Hence the linear control techniques fails in maintaining the balance of the robot. To remedy this problem and for improving the performances of the robot, an SDRE(State Dependent Riccati Equation) controller is designed along with SDC (State Dependent Coefficient) Matrix. Simulations are done to check the stability using SDRE controllers. A comparison is done using SDRE, PID and LQR controllers for the system with nonlinear dynamics. Also a comparison is done using PID and LQR controllers for the system with linear dynamics. From the simulations it is clear that SDRE controller shows excellent balancing for the two wheeled self balancing robot when compared to PID and LQR controllers.","PeriodicalId":149717,"journal":{"name":"2020 5th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129517618","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 : 2020-12-01DOI: 10.1109/ICRAIE51050.2020.9358353
Vaishali Shirsath, R. Agrawal
In most of the review article wind power based on mechanical design parameters or based on the reliability analysis of the wind farm is presented. In this review paper we presented analysis of wind power based on mechanical design parameters, reliability parameter and consideration electrical power in addition to Wind Canyon Model. There is a need to optimize design parameters of wind farm such as turbine size, weight, gear ratio parameters to achieve quality power as output which can sustain and maintain its availability with maximum efficiency. This article provides critical review of previous researcher. Paper also presents a detailed direction for wind analysis considering most and important constraint. Mathematical modeling is an important task for the modeling. This article discusses Mathematical modeling for wind data. Review of many research papers on reliability analysis specifically based on wind turbines between the 1999 to 2020 are presented. Since the last years many researchers focused on data collected on the reliability in wind turbines and published findings in different journals and articles are also noted. The issues in wind research is also addressed in this article. The review shows mechanical design analysis, reliability analysis and power optimization techniques. The critical findings provided here is helpful for other researcher. A combined objective function or cost function needs to develop subjected to constraints to achieve maximum profit through this business. A research work is required to improve the design variable in wind generator in addition to Wind power aspects such as power efficiency in addition to reliability.
{"title":"Optimization Through Wind Modeling by Means of Mechanical Design to Enhance Wind Power Generation and System Reliability","authors":"Vaishali Shirsath, R. Agrawal","doi":"10.1109/ICRAIE51050.2020.9358353","DOIUrl":"https://doi.org/10.1109/ICRAIE51050.2020.9358353","url":null,"abstract":"In most of the review article wind power based on mechanical design parameters or based on the reliability analysis of the wind farm is presented. In this review paper we presented analysis of wind power based on mechanical design parameters, reliability parameter and consideration electrical power in addition to Wind Canyon Model. There is a need to optimize design parameters of wind farm such as turbine size, weight, gear ratio parameters to achieve quality power as output which can sustain and maintain its availability with maximum efficiency. This article provides critical review of previous researcher. Paper also presents a detailed direction for wind analysis considering most and important constraint. Mathematical modeling is an important task for the modeling. This article discusses Mathematical modeling for wind data. Review of many research papers on reliability analysis specifically based on wind turbines between the 1999 to 2020 are presented. Since the last years many researchers focused on data collected on the reliability in wind turbines and published findings in different journals and articles are also noted. The issues in wind research is also addressed in this article. The review shows mechanical design analysis, reliability analysis and power optimization techniques. The critical findings provided here is helpful for other researcher. A combined objective function or cost function needs to develop subjected to constraints to achieve maximum profit through this business. A research work is required to improve the design variable in wind generator in addition to Wind power aspects such as power efficiency in addition to reliability.","PeriodicalId":149717,"journal":{"name":"2020 5th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128486427","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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