Pub Date : 2020-01-01DOI: 10.1109/iCoMET48670.2020.9073846
Sidrah Ahmed
The exact solution of the Riemann problem associated to Ripa model is constructed. A primitive variable formulation of the model is used instead of conserved variable formulation. This lead to establish the solutions to Riemann problem without calculating the flux terms. The closed form solution is obtained in the case of all rarefaction wave. The phase plane curves and corresponding characteristics curves have been plotted for different cases including rarefaction waves and shock waves connecting left and right known states. Many numerical methods for solving nonlinear hyperbolic conservation laws are based on conserved variable formulation, hence the conversion from primitive to conserved variables is required within algorithm. This method gives direct calculation of the exact solution in primitive variable formulation of the model. This method can be effectively applied to design more robust numerical solvers for hyperbolic conservation laws.
{"title":"Construction of the Exact Solution of Ripa Model with Primitive Variable Approach","authors":"Sidrah Ahmed","doi":"10.1109/iCoMET48670.2020.9073846","DOIUrl":"https://doi.org/10.1109/iCoMET48670.2020.9073846","url":null,"abstract":"The exact solution of the Riemann problem associated to Ripa model is constructed. A primitive variable formulation of the model is used instead of conserved variable formulation. This lead to establish the solutions to Riemann problem without calculating the flux terms. The closed form solution is obtained in the case of all rarefaction wave. The phase plane curves and corresponding characteristics curves have been plotted for different cases including rarefaction waves and shock waves connecting left and right known states. Many numerical methods for solving nonlinear hyperbolic conservation laws are based on conserved variable formulation, hence the conversion from primitive to conserved variables is required within algorithm. This method gives direct calculation of the exact solution in primitive variable formulation of the model. This method can be effectively applied to design more robust numerical solvers for hyperbolic conservation laws.","PeriodicalId":431051,"journal":{"name":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"21 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114115991","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 : 2020-01-01DOI: 10.1109/iCoMET48670.2020.9073919
Yameena Tahir, M. Nadeem, A. Ahmed, I. Khan, Farhan Qamar
Energy storages have numerous benefits, for instance, improvement of generation and demand balance, power quality and intermittency of renewable resources. Presently, available energy storage systems (ESS) are inadequate to achieve the desired applications on their own. Hybrid energy storage systems (HESSs) are featured by the combination of two or more energy storage technologies to accomplish the desired results. This paper gives an overview of HESSs applications in microgrids (MGs). Initially, benefits and applications of hybridization have been discussed. Then, a brief comparison of capacity sizing for HESSs is presented. The reviewed methodologies have significant implication in defining HESS capacity in MGs, while considering several constraints such as storage life span, cost and efficiency.
{"title":"A Review on Hybrid Energy Storage Systems in Microgrids","authors":"Yameena Tahir, M. Nadeem, A. Ahmed, I. Khan, Farhan Qamar","doi":"10.1109/iCoMET48670.2020.9073919","DOIUrl":"https://doi.org/10.1109/iCoMET48670.2020.9073919","url":null,"abstract":"Energy storages have numerous benefits, for instance, improvement of generation and demand balance, power quality and intermittency of renewable resources. Presently, available energy storage systems (ESS) are inadequate to achieve the desired applications on their own. Hybrid energy storage systems (HESSs) are featured by the combination of two or more energy storage technologies to accomplish the desired results. This paper gives an overview of HESSs applications in microgrids (MGs). Initially, benefits and applications of hybridization have been discussed. Then, a brief comparison of capacity sizing for HESSs is presented. The reviewed methodologies have significant implication in defining HESS capacity in MGs, while considering several constraints such as storage life span, cost and efficiency.","PeriodicalId":431051,"journal":{"name":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114167878","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 : 2020-01-01DOI: 10.1109/iCoMET48670.2020.9074066
A. Kiani, Y. Hafeez, M. Aqib, Sadia Ali, Javaria Javed, Nosheen Anwar
Agile Software Development (ASD) and Software Reusability are successful approaches in software engineering. ASD promises customer feedback, quick iterations, onsite customer relationship and also accommodates changes even after development. On the other hand, software reuse helps the organizations to deal with software complexity by systematic reuse, fast response to customers’ expectations and demands, reduced time to market, and increased productivity and quality. We believe that introduction of systematic reusability in ASD will improve the development process and it will be beneficial for organizations in achieving their short term and long term goals. Although few approaches have been proposed to address this issue but the scope of those studies is limited. In this work, we therefore, have proposed an approach to extend the most used agile method scrum to introduce the concept of systematic reusability. To support our idea and for the validation purpose, we have conducted control experiments. Experiment results prove overall performance of proposed approach.
{"title":"Extending The Scrum to Introduce The Concept of Systematic Reusability","authors":"A. Kiani, Y. Hafeez, M. Aqib, Sadia Ali, Javaria Javed, Nosheen Anwar","doi":"10.1109/iCoMET48670.2020.9074066","DOIUrl":"https://doi.org/10.1109/iCoMET48670.2020.9074066","url":null,"abstract":"Agile Software Development (ASD) and Software Reusability are successful approaches in software engineering. ASD promises customer feedback, quick iterations, onsite customer relationship and also accommodates changes even after development. On the other hand, software reuse helps the organizations to deal with software complexity by systematic reuse, fast response to customers’ expectations and demands, reduced time to market, and increased productivity and quality. We believe that introduction of systematic reusability in ASD will improve the development process and it will be beneficial for organizations in achieving their short term and long term goals. Although few approaches have been proposed to address this issue but the scope of those studies is limited. In this work, we therefore, have proposed an approach to extend the most used agile method scrum to introduce the concept of systematic reusability. To support our idea and for the validation purpose, we have conducted control experiments. Experiment results prove overall performance of proposed approach.","PeriodicalId":431051,"journal":{"name":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"129 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120932974","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 : 2020-01-01DOI: 10.1109/iCoMET48670.2020.9073823
Syed Sarmad Ali, Muhammad Shoaib Zafar, Muhammad Tallal Saeed
The software industry has been evolving over the years. Software maintenance is as crucial as software development. Software maintenance cost has gained a significant important both for practitioners and researchers. Software maintenance cost is very crucial to estimate the productivity of the software, reliability, adaptability, and control. This research investigation is a study that is based on the literature of investigation conducted previously in the field of software maintenance. We have found studies that reveal the effort estimation problems related and have a direct impact on software maintenance. We have also identified problems that have a direct impact on software maintenance. This study will act as a guideline for researchers to counter these problems. This study will act as a platform to classify new direction and initiate full-scale research.
{"title":"Effort Estimation Problems in Software Maintenance – A Survey","authors":"Syed Sarmad Ali, Muhammad Shoaib Zafar, Muhammad Tallal Saeed","doi":"10.1109/iCoMET48670.2020.9073823","DOIUrl":"https://doi.org/10.1109/iCoMET48670.2020.9073823","url":null,"abstract":"The software industry has been evolving over the years. Software maintenance is as crucial as software development. Software maintenance cost has gained a significant important both for practitioners and researchers. Software maintenance cost is very crucial to estimate the productivity of the software, reliability, adaptability, and control. This research investigation is a study that is based on the literature of investigation conducted previously in the field of software maintenance. We have found studies that reveal the effort estimation problems related and have a direct impact on software maintenance. We have also identified problems that have a direct impact on software maintenance. This study will act as a guideline for researchers to counter these problems. This study will act as a platform to classify new direction and initiate full-scale research.","PeriodicalId":431051,"journal":{"name":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116729138","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 : 2020-01-01DOI: 10.1109/iCoMET48670.2020.9073809
Engr. Ghulam Abid, Engr. Shoaib Ahmed Shaikh, Engr. Muhammad Fawad Shaikh, Engr. Sara Hafeez Rajput, Engr. Umar Abdul Majeed, Engr. Abdul Majeed Shaikh
Technology has been developing throughout the world as system moved from manual to auto. This paper is on the smart control panel for controlling the appliances. Appliances are Inductive, resistive and capacitive in nature. Inductive type are mostly motors. Three-phase Induction motor is one of the most common types of electrical machines with vast amount of applications in the entire power system all over the world due to its various advantages such as low starting power, lower maintenance cost etc. For the sake of economy and their longer life, it is very much necessary to provide them with feasible conditions to perform optimal operation with best possible smart protection techniques, this paper is all about the analysis of faults in induction motor on MATLAB/SIMULINK, the provision of optimal protection combining traditional and IOT for both automatic as well as manual method to make it fully controllable based on the requirements of protection engineer for various loads. Control elements used here are vibration as well temperature sensation with IOT based remote data acquisition technique for automatic protection as well as a manual control using a selector switch for automatic as well as manual operation and a molded case circuit breaker for protection purpose.
{"title":"IOT based Smart Industrial panel for controlling Three-phase Induction motor","authors":"Engr. Ghulam Abid, Engr. Shoaib Ahmed Shaikh, Engr. Muhammad Fawad Shaikh, Engr. Sara Hafeez Rajput, Engr. Umar Abdul Majeed, Engr. Abdul Majeed Shaikh","doi":"10.1109/iCoMET48670.2020.9073809","DOIUrl":"https://doi.org/10.1109/iCoMET48670.2020.9073809","url":null,"abstract":"Technology has been developing throughout the world as system moved from manual to auto. This paper is on the smart control panel for controlling the appliances. Appliances are Inductive, resistive and capacitive in nature. Inductive type are mostly motors. Three-phase Induction motor is one of the most common types of electrical machines with vast amount of applications in the entire power system all over the world due to its various advantages such as low starting power, lower maintenance cost etc. For the sake of economy and their longer life, it is very much necessary to provide them with feasible conditions to perform optimal operation with best possible smart protection techniques, this paper is all about the analysis of faults in induction motor on MATLAB/SIMULINK, the provision of optimal protection combining traditional and IOT for both automatic as well as manual method to make it fully controllable based on the requirements of protection engineer for various loads. Control elements used here are vibration as well temperature sensation with IOT based remote data acquisition technique for automatic protection as well as a manual control using a selector switch for automatic as well as manual operation and a molded case circuit breaker for protection purpose.","PeriodicalId":431051,"journal":{"name":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121571980","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 : 2020-01-01DOI: 10.1109/iCoMET48670.2020.9074121
F. Akhtar, M. Sultan
The present work is an investigation of refrigerating cycles and the compressors work for R134a and CO2/R744 refrigerants. Relative demonstration conferred has been peculiarly created design for small cooling capacities and an evaporation temperature. An accurate numerical feigning miniature for compressors work performance has been used to numerically collate both R134a and R744 based compressor prototypes. To validate the detailed numerical simulation of the thermal and fluid dynamic behavior of single stage vapor compression refrigerating unit has been developed and utilized. The numerical outcomes obtained from the thermodynamic investigation reveals a satisfactory agreement, while the relative global values indicate resembling efficiencies under the identical working conditions. Compare is made between R744 and R134a as a refrigerant to pick up heat at −17.7°C and reject at 60°C. R744 requires significantly higher pressures and results in higher temperature from compressor and have lower coefficient of performance. Thermodynamic calculations are done with REFPROP software.
{"title":"Thermodynamic investigation of R744 and R134a based refrigeration cycle","authors":"F. Akhtar, M. Sultan","doi":"10.1109/iCoMET48670.2020.9074121","DOIUrl":"https://doi.org/10.1109/iCoMET48670.2020.9074121","url":null,"abstract":"The present work is an investigation of refrigerating cycles and the compressors work for R134a and CO2/R744 refrigerants. Relative demonstration conferred has been peculiarly created design for small cooling capacities and an evaporation temperature. An accurate numerical feigning miniature for compressors work performance has been used to numerically collate both R134a and R744 based compressor prototypes. To validate the detailed numerical simulation of the thermal and fluid dynamic behavior of single stage vapor compression refrigerating unit has been developed and utilized. The numerical outcomes obtained from the thermodynamic investigation reveals a satisfactory agreement, while the relative global values indicate resembling efficiencies under the identical working conditions. Compare is made between R744 and R134a as a refrigerant to pick up heat at −17.7°C and reject at 60°C. R744 requires significantly higher pressures and results in higher temperature from compressor and have lower coefficient of performance. Thermodynamic calculations are done with REFPROP software.","PeriodicalId":431051,"journal":{"name":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127986616","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 : 2020-01-01DOI: 10.1109/iCoMET48670.2020.9073937
Muhammad Rafi, Mohammad Taha Wahab, Muhammad Bilal Khan, Hani Raza
One of the main challenges in today’s banking industry is to forecast the cash demand of their ATM network. Each ATM must be filled with the right amount so that neither a customer’s transaction is rejected because of out-of-cash status, nor the idle cash ruins the opportunity for the bank to earn profit on it. This paper proposed a time-series model for forecasting the cash demands of each ATM in a network of ATMs for a specific financial institution. Using the transaction data of each ATM we build a Vector Auto Regressive Moving Average with Exogenous Variable model (VAR-MAX) for each ATM. We compared our proposed approach with one recently proposed Recurrent Neural Network (RNN) approach termed as Long-Short Term Memory(LSTM) which was reported to performed best for this problem. Our proposed model using the exogenous variable performed better than this model. The study used a dataset comprises of transaction of 7 ATMs from the period of June 2013 to December 2015 from some of the financially busy areas of Karachi Pakistan. The Symmetric Mean Absolute Percentage Error (SMAPE) is used to reports evaluation from the experiments.
{"title":"ATM Cash Prediction Using Time Series Approach","authors":"Muhammad Rafi, Mohammad Taha Wahab, Muhammad Bilal Khan, Hani Raza","doi":"10.1109/iCoMET48670.2020.9073937","DOIUrl":"https://doi.org/10.1109/iCoMET48670.2020.9073937","url":null,"abstract":"One of the main challenges in today’s banking industry is to forecast the cash demand of their ATM network. Each ATM must be filled with the right amount so that neither a customer’s transaction is rejected because of out-of-cash status, nor the idle cash ruins the opportunity for the bank to earn profit on it. This paper proposed a time-series model for forecasting the cash demands of each ATM in a network of ATMs for a specific financial institution. Using the transaction data of each ATM we build a Vector Auto Regressive Moving Average with Exogenous Variable model (VAR-MAX) for each ATM. We compared our proposed approach with one recently proposed Recurrent Neural Network (RNN) approach termed as Long-Short Term Memory(LSTM) which was reported to performed best for this problem. Our proposed model using the exogenous variable performed better than this model. The study used a dataset comprises of transaction of 7 ATMs from the period of June 2013 to December 2015 from some of the financially busy areas of Karachi Pakistan. The Symmetric Mean Absolute Percentage Error (SMAPE) is used to reports evaluation from the experiments.","PeriodicalId":431051,"journal":{"name":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131872160","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 : 2020-01-01DOI: 10.1109/iCoMET48670.2020.9074085
Arooj Tariq Kiani, M. Faisal Nadeem, A. Ahmed, I. A. Sajjad, A. Raza, I. Khan
Solar cell modeling and optimal estimation of their associated parameters is a key point to improve performance of PV solar system. Recently, different numerical, analytical and hybrid approaches have been developed for parameter extraction of PV model. In this paper the Chaotic Inertia Weight Particle Swarm Optimization (CIWPSO) technique is proposed to estimate PV parameters of single and double diode. Furthermore, the Newton Raphson method (NRM) is employed to guide the fitness indicator towards optimal solution. The propose approach solves the premature convergence problem of the conventional PSO. This new approach is implemented on RTC France Silicon Solar cell, under standard test conditions (STC). CIWPSO has ability to find optimal solution with the requirement of relatively less computational time and number of iterations. The validity of results clearly supports the statement that, the proposed approach is highly accurate, efficient and fast for parameter estimation of PV cells.
{"title":"Chaotic Inertia Weight Particle Swarm Optimization (CIWPSO): An Efficient Technique for Solar Cell Parameter Estimation","authors":"Arooj Tariq Kiani, M. Faisal Nadeem, A. Ahmed, I. A. Sajjad, A. Raza, I. Khan","doi":"10.1109/iCoMET48670.2020.9074085","DOIUrl":"https://doi.org/10.1109/iCoMET48670.2020.9074085","url":null,"abstract":"Solar cell modeling and optimal estimation of their associated parameters is a key point to improve performance of PV solar system. Recently, different numerical, analytical and hybrid approaches have been developed for parameter extraction of PV model. In this paper the Chaotic Inertia Weight Particle Swarm Optimization (CIWPSO) technique is proposed to estimate PV parameters of single and double diode. Furthermore, the Newton Raphson method (NRM) is employed to guide the fitness indicator towards optimal solution. The propose approach solves the premature convergence problem of the conventional PSO. This new approach is implemented on RTC France Silicon Solar cell, under standard test conditions (STC). CIWPSO has ability to find optimal solution with the requirement of relatively less computational time and number of iterations. The validity of results clearly supports the statement that, the proposed approach is highly accurate, efficient and fast for parameter estimation of PV cells.","PeriodicalId":431051,"journal":{"name":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133132081","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 : 2020-01-01DOI: 10.1109/iCoMET48670.2020.9073876
Maria Sadaf, M. K. Zeb, S. Salamat, Messam Naqvi
The design and prototyping of jet engines is an extremely costly and laborious task. An alternative to at this is the development of variants of existing engines for enhanced performance which requires detailed modeling of engine in mathematical environment for precise evaluation of performance parameters. This paper presents mathematical modelling and sensitivity analysis of performance of RD-93, a low bypass turbofan engine, towards design parameters including pressure ratio of turbomachinery components, bypass ratio and critical temperatures. The effect of varying the efficiency of engine components on performance of overall engine is estimated using numerical environment of Numerical Propulsion System Simulation (NPSS). The results of performed analysis can serve as a guide for further parametric cycle analyses of low bypass turbofan engines.
{"title":"Sensitivity and Design Point Analysis of RD-93 Engine at Static Sea Level using Numerical Propulsion System Simulation","authors":"Maria Sadaf, M. K. Zeb, S. Salamat, Messam Naqvi","doi":"10.1109/iCoMET48670.2020.9073876","DOIUrl":"https://doi.org/10.1109/iCoMET48670.2020.9073876","url":null,"abstract":"The design and prototyping of jet engines is an extremely costly and laborious task. An alternative to at this is the development of variants of existing engines for enhanced performance which requires detailed modeling of engine in mathematical environment for precise evaluation of performance parameters. This paper presents mathematical modelling and sensitivity analysis of performance of RD-93, a low bypass turbofan engine, towards design parameters including pressure ratio of turbomachinery components, bypass ratio and critical temperatures. The effect of varying the efficiency of engine components on performance of overall engine is estimated using numerical environment of Numerical Propulsion System Simulation (NPSS). The results of performed analysis can serve as a guide for further parametric cycle analyses of low bypass turbofan engines.","PeriodicalId":431051,"journal":{"name":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123222200","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 : 2020-01-01DOI: 10.1109/icomet48670.2020.9074063
{"title":"iCoMET 2020 Table of Contents","authors":"","doi":"10.1109/icomet48670.2020.9074063","DOIUrl":"https://doi.org/10.1109/icomet48670.2020.9074063","url":null,"abstract":"","PeriodicalId":431051,"journal":{"name":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"14 36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124743676","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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