Pub Date : 2023-08-30DOI: 10.24200/sci.2023.60629.6903
Amin Alvanchi, Mohammad Amin Jafari, Nasim Didehvar
Cost overrun and time delays in water industry construction projects persuade the authorities to improve the project management approach by adopting building information modeling (BIM). However, BIM is new in the water industry and, with the many aspects and extensive details involved, its successful implementation requires an effective strategic plan. To address this need, in this project a customized BIM strategic plan development method is proposed and followed for the water industry projects in Iran. As a result, two 5-year implementation phases are proposed and specifications of the required infrastructures are outlined. The first phase targets the implementation of BIM maturity level one in pilot projects and BIM maturity level two becomes mandatory at the end of phase two. To the best of the authors' knowledge, for the first time, a systematic method for the BIM strategic plan development in an industry, with multiple organizations involved, is proposed in this research. The two types of BIM committees introduced and utilized in this research can inspire other BIM strategic plan development efforts for large industries, e.g. transportation industry, the electric power industry, and the oil and gas industry, with multiple organizations in charge and different types of construction projects implemented.
{"title":"A novel BIM strategic plan development method for the water industry of Iran","authors":"Amin Alvanchi, Mohammad Amin Jafari, Nasim Didehvar","doi":"10.24200/sci.2023.60629.6903","DOIUrl":"https://doi.org/10.24200/sci.2023.60629.6903","url":null,"abstract":"Cost overrun and time delays in water industry construction projects persuade the authorities to improve the project management approach by adopting building information modeling (BIM). However, BIM is new in the water industry and, with the many aspects and extensive details involved, its successful implementation requires an effective strategic plan. To address this need, in this project a customized BIM strategic plan development method is proposed and followed for the water industry projects in Iran. As a result, two 5-year implementation phases are proposed and specifications of the required infrastructures are outlined. The first phase targets the implementation of BIM maturity level one in pilot projects and BIM maturity level two becomes mandatory at the end of phase two. To the best of the authors' knowledge, for the first time, a systematic method for the BIM strategic plan development in an industry, with multiple organizations involved, is proposed in this research. The two types of BIM committees introduced and utilized in this research can inspire other BIM strategic plan development efforts for large industries, e.g. transportation industry, the electric power industry, and the oil and gas industry, with multiple organizations in charge and different types of construction projects implemented.","PeriodicalId":21605,"journal":{"name":"Scientia Iranica","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136241015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-23DOI: 10.24200/sci.2023.61430.7300
Ismail Bozdag, Serhat Berat Efe, Ilyas Ozer
Technological development has led to a diversification of loads in transmission and distribution systems. The rise of non-linear loads in the system is one of the biggest effects of this variation as semiconductor technology develops. Nonlinear loads are characterized by current and voltage characteristics that are not purely sinusoidal, also known as harmonics. Harmonics cause the system insulation to degrade and increase energy loss. Therefore, it's crucial to get rid of harmonics before they occur. This study intends to lower the risk of distribution system damage by employing complex harmonic forecasting methods. An RNN-based forecasting algorithm has been created by using actual system power quality data obtained from the Organized Industrial Zone in Bandırma, Turkey. Parameters that are most likely to be neglected in simulation studies are also taken into account in the calculation by using actual data. Active power data, current harmonic data and calendar data were used together to design harmonic forecasting model. Graphs and calculations were used to discuss the results. The obtained minimum values of the RMSE, MAE, and MAPE are 2,116, 0,666 and 11,619, respectively. The convergence as a result of these calculations has allowed high forecasting performance of power quality distortions.
{"title":"Short Term Forecasting of Power Quality Distortions in Electrical Energy Systems with LSTM and GRU Networks","authors":"Ismail Bozdag, Serhat Berat Efe, Ilyas Ozer","doi":"10.24200/sci.2023.61430.7300","DOIUrl":"https://doi.org/10.24200/sci.2023.61430.7300","url":null,"abstract":"Technological development has led to a diversification of loads in transmission and distribution systems. The rise of non-linear loads in the system is one of the biggest effects of this variation as semiconductor technology develops. Nonlinear loads are characterized by current and voltage characteristics that are not purely sinusoidal, also known as harmonics. Harmonics cause the system insulation to degrade and increase energy loss. Therefore, it's crucial to get rid of harmonics before they occur. This study intends to lower the risk of distribution system damage by employing complex harmonic forecasting methods. An RNN-based forecasting algorithm has been created by using actual system power quality data obtained from the Organized Industrial Zone in Bandırma, Turkey. Parameters that are most likely to be neglected in simulation studies are also taken into account in the calculation by using actual data. Active power data, current harmonic data and calendar data were used together to design harmonic forecasting model. Graphs and calculations were used to discuss the results. The obtained minimum values of the RMSE, MAE, and MAPE are 2,116, 0,666 and 11,619, respectively. The convergence as a result of these calculations has allowed high forecasting performance of power quality distortions.","PeriodicalId":21605,"journal":{"name":"Scientia Iranica","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135621545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-23DOI: 10.24200/sci.2023.62337.7782
Hamideh Rezaei Nezhad, Farshid Keynia, Amir Sabagh Molahosseini
An optimization algorithm based on training and learning is formed based on the process of training and learning in a class. A deep neural network is one of the types of feedforward neural networks whose connection pattern among its neurons is inspired by the visual cortex of animals' brain. The present study considers decreasing prediction error for the types of time series and the uncertainty in estimation parameters, improving the structure of the deep neural network and increasing response speed in the proposed neural network method; besides, the competitive performance and the collaboration among the neurons of deep neural network are also increased. Selected data is related to Qeshm weather (suitable weather conditions to study our purpose) prediction during 2016 onwards. In this study, for the purpose of analyzing the prediction issue of power consumption of domestic expenses in the indefinite and severe fluctuation mode, we decided to combine two methods of Long Short-Term Memory and Convolutional Neural Network. For the training of the deep network, the BP algorithm is used.
{"title":"Optimized Deep Networks Structure to Improve the Accuracy of estimator algorithm in Deep Networks learning","authors":"Hamideh Rezaei Nezhad, Farshid Keynia, Amir Sabagh Molahosseini","doi":"10.24200/sci.2023.62337.7782","DOIUrl":"https://doi.org/10.24200/sci.2023.62337.7782","url":null,"abstract":"An optimization algorithm based on training and learning is formed based on the process of training and learning in a class. A deep neural network is one of the types of feedforward neural networks whose connection pattern among its neurons is inspired by the visual cortex of animals' brain. The present study considers decreasing prediction error for the types of time series and the uncertainty in estimation parameters, improving the structure of the deep neural network and increasing response speed in the proposed neural network method; besides, the competitive performance and the collaboration among the neurons of deep neural network are also increased. Selected data is related to Qeshm weather (suitable weather conditions to study our purpose) prediction during 2016 onwards. In this study, for the purpose of analyzing the prediction issue of power consumption of domestic expenses in the indefinite and severe fluctuation mode, we decided to combine two methods of Long Short-Term Memory and Convolutional Neural Network. For the training of the deep network, the BP algorithm is used.","PeriodicalId":21605,"journal":{"name":"Scientia Iranica","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135621544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper introduces a newly designed four-dimensional memristive chaotic system. The novel oscillator is chaotic regarding the findings that the system’s dynamic has one positive Lyapunov exponent. Also, due to the results of the equilibrium points analysis, it is shown that the oscillator has a line of equilibria, so the attractors of this system are hidden. Moreover, the study of energy dissipation of this system, power spectrum, and Poincaré sections are conducted to investigate the system's dynamics. The complex features of this system are investigated with the aid of bifurcation diagrams, Lyapunov exponents spectra, approximate entropy, and basin of attraction.
{"title":"A Novel Memristive Chaotic System with Hidden Attractors and a Line of Equilibria","authors":"Zhen Wang, Sridevi Sriram, Huaigu Tian, Karthikeyan Rajagopal","doi":"10.24200/sci.2023.61440.7307","DOIUrl":"https://doi.org/10.24200/sci.2023.61440.7307","url":null,"abstract":"This paper introduces a newly designed four-dimensional memristive chaotic system. The novel oscillator is chaotic regarding the findings that the system’s dynamic has one positive Lyapunov exponent. Also, due to the results of the equilibrium points analysis, it is shown that the oscillator has a line of equilibria, so the attractors of this system are hidden. Moreover, the study of energy dissipation of this system, power spectrum, and Poincaré sections are conducted to investigate the system's dynamics. The complex features of this system are investigated with the aid of bifurcation diagrams, Lyapunov exponents spectra, approximate entropy, and basin of attraction.","PeriodicalId":21605,"journal":{"name":"Scientia Iranica","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135022827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-16DOI: 10.24200/sci.2023.61596.7394
H. Nasiri Soloklo, N. Bigdeli
This paper proposes a hybrid method for order reduction of the bilinear system model using Balanced Truncation (BT) and Bilinear Iterative Rational Krylov Algorithm (BIRKA). Bilinear BT (BBT) has low accuracy but guarantees stability, while BIRKA convergence suffers from sensitivity to initial choice of reduced-order system. The proposed method first determines the order of the reduced bilinear model by minimizing the index of Integral Square Error (ISE). Then, the initial guess of reduced-order system is provided via two approaches, BBT and Linear BT (LBT), to guarantee the convergence of BIRKA. The result of BBT is a good stable initial guess for BIRKA, but it is very computationally expensive to solve the generalized Lyapunov equations to find the solution. LBT decreases the computational complexity by providing the initial guess via solving the Lyapunov equations. To further decrease the complexity, the condition number is substituted in place of the eigenvalues in BIRKA. Three bilinear test systems are considered to show the efficiency of proposed method. Finally, the performance of the proposed method is compared with some classical methods. The results show that the convergence probability of BIRKA increases. Also, the time for the determining the model order reduction decreases.
{"title":"Reduced-Order Approximation of Bilinear Systems Using a New Hybrid Method based on Balanced Truncation and Iterative Rational Krylov Algorithms","authors":"H. Nasiri Soloklo, N. Bigdeli","doi":"10.24200/sci.2023.61596.7394","DOIUrl":"https://doi.org/10.24200/sci.2023.61596.7394","url":null,"abstract":"This paper proposes a hybrid method for order reduction of the bilinear system model using Balanced Truncation (BT) and Bilinear Iterative Rational Krylov Algorithm (BIRKA). Bilinear BT (BBT) has low accuracy but guarantees stability, while BIRKA convergence suffers from sensitivity to initial choice of reduced-order system. The proposed method first determines the order of the reduced bilinear model by minimizing the index of Integral Square Error (ISE). Then, the initial guess of reduced-order system is provided via two approaches, BBT and Linear BT (LBT), to guarantee the convergence of BIRKA. The result of BBT is a good stable initial guess for BIRKA, but it is very computationally expensive to solve the generalized Lyapunov equations to find the solution. LBT decreases the computational complexity by providing the initial guess via solving the Lyapunov equations. To further decrease the complexity, the condition number is substituted in place of the eigenvalues in BIRKA. Three bilinear test systems are considered to show the efficiency of proposed method. Finally, the performance of the proposed method is compared with some classical methods. The results show that the convergence probability of BIRKA increases. Also, the time for the determining the model order reduction decreases.","PeriodicalId":21605,"journal":{"name":"Scientia Iranica","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135022828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Computational creativity modeling, including concept combination, enables us to foster deeper abilities of AI agents. Although concept combination has been addressed in a lot of computational creativity studies, findings show incompatibility amongst empirical data of concept combination and the results of the used methods. In addition, even though recent neuroscientific studies show the crucial impact of retrieving concepts’ relations explicitly stored in episodic memory, it has been underestimated in modeling creative processes. In this paper, a quantum cognition-based approach is used to more effectively consider the context and resolve logical inconsistencies. Also, episodic memory is leveraged as the basis for the concept combination modeling process based on the created context. The result of the proposed process is a set of meaningful concepts and expressions as a combination of stimuli and related episodes which are used to depict a visual collage as an image. The significant improvement in the quality of results in comparison with the existing methods suggests that quantum-like modeling can be considered as the foundation for developing AI agents capable of creating artistic images or assisting a person during a creative process.
{"title":"Visual Creativity through Concept Combination Using Quantum Cognitive Models","authors":"Mozhdeh Ahrabi Tabriz, Tayebe Rafiei Atani, Mehrdad Ashtiani, Mohammad Reza Jahed-Motlagh","doi":"10.24200/sci.2023.61494.7340","DOIUrl":"https://doi.org/10.24200/sci.2023.61494.7340","url":null,"abstract":"Computational creativity modeling, including concept combination, enables us to foster deeper abilities of AI agents. Although concept combination has been addressed in a lot of computational creativity studies, findings show incompatibility amongst empirical data of concept combination and the results of the used methods. In addition, even though recent neuroscientific studies show the crucial impact of retrieving concepts’ relations explicitly stored in episodic memory, it has been underestimated in modeling creative processes. In this paper, a quantum cognition-based approach is used to more effectively consider the context and resolve logical inconsistencies. Also, episodic memory is leveraged as the basis for the concept combination modeling process based on the created context. The result of the proposed process is a set of meaningful concepts and expressions as a combination of stimuli and related episodes which are used to depict a visual collage as an image. The significant improvement in the quality of results in comparison with the existing methods suggests that quantum-like modeling can be considered as the foundation for developing AI agents capable of creating artistic images or assisting a person during a creative process.","PeriodicalId":21605,"journal":{"name":"Scientia Iranica","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135022829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-16DOI: 10.24200/sci.2023.60920.7057
M. Taghian, S. Yaghoubi
The separation of a fluid from an immiscible liquid can be used in many natural ways. Traditional methods are currently used to accomplish this process. In this study, we attempted to investigate the effect of changes in the geometric radius of the water droplet in the oil medium and applied voltage to provide outputs which can be used to better design water separating electro-filter for crude oil. Furthermore, the most important innovation of this article is to study considering the effects of the presence and absence of Earth's gravity. The results of this work show that changes in geometry and voltage were effective in the deformation and movement of the drops, but their effects were not significant compared to the presence and absence of gravity. In other words, the effect of considering Earth's gravity in this study tends to make the results realistic, and the results would not be comparable to those obtained in the absence of Earth's gravity.
{"title":"Numerical Simulation of Water Drop Deformation Under Electrical Fields in Oil Fields","authors":"M. Taghian, S. Yaghoubi","doi":"10.24200/sci.2023.60920.7057","DOIUrl":"https://doi.org/10.24200/sci.2023.60920.7057","url":null,"abstract":"The separation of a fluid from an immiscible liquid can be used in many natural ways. Traditional methods are currently used to accomplish this process. In this study, we attempted to investigate the effect of changes in the geometric radius of the water droplet in the oil medium and applied voltage to provide outputs which can be used to better design water separating electro-filter for crude oil. Furthermore, the most important innovation of this article is to study considering the effects of the presence and absence of Earth's gravity. The results of this work show that changes in geometry and voltage were effective in the deformation and movement of the drops, but their effects were not significant compared to the presence and absence of gravity. In other words, the effect of considering Earth's gravity in this study tends to make the results realistic, and the results would not be comparable to those obtained in the absence of Earth's gravity.","PeriodicalId":21605,"journal":{"name":"Scientia Iranica","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135022826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-16DOI: 10.24200/sci.2023.61143.7165
A. Ashouri-Zadeh, Z. Nasiri-Gheidari
This paper presents some novel force ripple reducing techniques for tubular permanentmagnetlinear machines (TPMLMs) with the square-shaped cross section. These methods are verystraightforward, so their implementation in TPMLMs with the square cross section is easy. Ananalytical form of machine parameters such as the thrust force is obtained by solving the analyticalfield. A modular configuration for permanent-magnet pole is used to reduce teeth coggingforce. Furthermore, the manufacturing cost of TPMLMs can be reduced by using modular polepermanent-magnet. In this method, the width of permanent-magnets (PMs) is calculated by usingFourier analysis and a sensitivity analysis has been conducted to identify the robustness of thistechnique. Additional stator side methods are used to decrease the end face cogging force. Moreover,the stator teeth shifting method is proposed to reduce the electromagnetic force ripples. Also,the produced electromagnetic force of the machine is increased by using a delay in the power supply.3 -D non-linear finite-element analyses and experimental tests are performed to investigatethe effectiveness and performance of proposed techniques.
{"title":"Force Ripple Reduction Methods for Tubular Permanent Magnet Linear Machines","authors":"A. Ashouri-Zadeh, Z. Nasiri-Gheidari","doi":"10.24200/sci.2023.61143.7165","DOIUrl":"https://doi.org/10.24200/sci.2023.61143.7165","url":null,"abstract":"This paper presents some novel force ripple reducing techniques for tubular permanentmagnetlinear machines (TPMLMs) with the square-shaped cross section. These methods are verystraightforward, so their implementation in TPMLMs with the square cross section is easy. Ananalytical form of machine parameters such as the thrust force is obtained by solving the analyticalfield. A modular configuration for permanent-magnet pole is used to reduce teeth coggingforce. Furthermore, the manufacturing cost of TPMLMs can be reduced by using modular polepermanent-magnet. In this method, the width of permanent-magnets (PMs) is calculated by usingFourier analysis and a sensitivity analysis has been conducted to identify the robustness of thistechnique. Additional stator side methods are used to decrease the end face cogging force. Moreover,the stator teeth shifting method is proposed to reduce the electromagnetic force ripples. Also,the produced electromagnetic force of the machine is increased by using a delay in the power supply.3 -D non-linear finite-element analyses and experimental tests are performed to investigatethe effectiveness and performance of proposed techniques.","PeriodicalId":21605,"journal":{"name":"Scientia Iranica","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135022830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-08DOI: 10.24200/sci.2023.58266.5647
M. Shiravi, B. Ganji
Nowadays, Halbach magnets serve different purposes in electrical machine designs by offering different structures. These structures can be used to shim (improve the inhomogeneity) of new static fields in the magnetic resonance imaging (MRI) system. The shimming method proposed here uses axial and radial Halbach arrays. The inhomogeneity and average field is obtained at a constant diameter of spherical volume. Using the FE Maxwell software, different topologies are evaluated and the best structure is then selected and optimized. The optimum structure is manufactured and all issues related to the construction are explained in details. Comparison between simulation and experimental results shows the effectiveness of the proposed idea.
{"title":"Introducing a new shimming method based on combination of axial and radial Halbach arrays to have a uniform flux density for a low-field portable MRI system","authors":"M. Shiravi, B. Ganji","doi":"10.24200/sci.2023.58266.5647","DOIUrl":"https://doi.org/10.24200/sci.2023.58266.5647","url":null,"abstract":"Nowadays, Halbach magnets serve different purposes in electrical machine designs by offering different structures. These structures can be used to shim (improve the inhomogeneity) of new static fields in the magnetic resonance imaging (MRI) system. The shimming method proposed here uses axial and radial Halbach arrays. The inhomogeneity and average field is obtained at a constant diameter of spherical volume. Using the FE Maxwell software, different topologies are evaluated and the best structure is then selected and optimized. The optimum structure is manufactured and all issues related to the construction are explained in details. Comparison between simulation and experimental results shows the effectiveness of the proposed idea.","PeriodicalId":21605,"journal":{"name":"Scientia Iranica","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135841569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-08DOI: 10.24200/sci.2023.54718.3884
Sharmin Moosavi, Mojtaba Vahidi-Asl, Hassan Haghighi, Mohammad Rezaalipour
To address the problems of automatic repair techniques, we present Doctor Code, a new APR technique that chooses repair operators by systematically learning from the features of the most common bugs in different programs, using machine learning. The wise selection of repair operators reduces the number of candidate patches. We compare our technique against Mutation repair, a test suite-based APR technique, using the Siemens suite. The experiment results indicate that our technique can fix 41 bugs while the baseline only repairs 22. In addition, Doctor Code can produce patches that do not exist in the search space of the three test suite-based techniques called SPR, Prophet, and SemFix. We also experiment with Doctor Code utilizing three buggy versions of a program called Space (9K LOC), to indicate its capability of repairing large-sized programs. In addition, we compare Doctor Code against 7 state-of-the-art APR tools like Elixir, using the Defects4j dataset. The experiment results indicate that our technique outperforms the other tools regarding the number of fixed bugs and overfitted patches.Comparing Doctor Code with RAPR as the baseline indicates that using machine learning reduces the number of overfitted patches and the time of patch production by 33.33% and 82.68%, respectively.
{"title":"Doctor Code: A Machine Learning-Based Approach to Program Repair","authors":"Sharmin Moosavi, Mojtaba Vahidi-Asl, Hassan Haghighi, Mohammad Rezaalipour","doi":"10.24200/sci.2023.54718.3884","DOIUrl":"https://doi.org/10.24200/sci.2023.54718.3884","url":null,"abstract":"To address the problems of automatic repair techniques, we present Doctor Code, a new APR technique that chooses repair operators by systematically learning from the features of the most common bugs in different programs, using machine learning. The wise selection of repair operators reduces the number of candidate patches. We compare our technique against Mutation repair, a test suite-based APR technique, using the Siemens suite. The experiment results indicate that our technique can fix 41 bugs while the baseline only repairs 22. In addition, Doctor Code can produce patches that do not exist in the search space of the three test suite-based techniques called SPR, Prophet, and SemFix. We also experiment with Doctor Code utilizing three buggy versions of a program called Space (9K LOC), to indicate its capability of repairing large-sized programs. In addition, we compare Doctor Code against 7 state-of-the-art APR tools like Elixir, using the Defects4j dataset. The experiment results indicate that our technique outperforms the other tools regarding the number of fixed bugs and overfitted patches.Comparing Doctor Code with RAPR as the baseline indicates that using machine learning reduces the number of overfitted patches and the time of patch production by 33.33% and 82.68%, respectively.","PeriodicalId":21605,"journal":{"name":"Scientia Iranica","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135841568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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