Pub Date : 2023-01-01DOI: 10.5829/ije.2023.36.06c.14
M. Torkashvand, N. Shamami, H. Bigdeli
{"title":"The Equipment Scheduling and Assignment Problem in the Overhaul Industry","authors":"M. Torkashvand, N. Shamami, H. Bigdeli","doi":"10.5829/ije.2023.36.06c.14","DOIUrl":"https://doi.org/10.5829/ije.2023.36.06c.14","url":null,"abstract":"","PeriodicalId":14109,"journal":{"name":"International Journal of Engineering","volume":"1 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70898602","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 : 2023-01-01DOI: 10.5829/ije.2023.36.08b.06
M. Aslinezhad, A. Sezavar, A. Malekijavan
{"title":"A Noise-aware Deep Learning Model for Automatic Modulation Recognition in Radar Signals","authors":"M. Aslinezhad, A. Sezavar, A. Malekijavan","doi":"10.5829/ije.2023.36.08b.06","DOIUrl":"https://doi.org/10.5829/ije.2023.36.08b.06","url":null,"abstract":"","PeriodicalId":14109,"journal":{"name":"International Journal of Engineering","volume":"1 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70899016","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 : 2023-01-01DOI: 10.5829/ije.2023.36.08b.08
S. Mavaddati
Voice activity detectors are presented to extract silence/speech segments of the speech signal to eliminate different background noise signals. A novel voice activity detector is proposed in this paper using spectro-temporal features extracted from the auditory model of the speech signal. After extracting the scale, rate, and frequency features from this feature space, a sparse structured principal component analysis algorithm is used to consider the basic components of these features and reduce the dimension of learning data. Then these feature vectors are employed to learn the models by the sparse non-negative matrix factorization algorithm. The model learning procedure is performed to represent each feature vector with a proper sparse rate based on the selected atoms. Voice activity detection of the input frames is performed by computing the energy of the sparse representation for each input frame over the composite model. If the calculated energy exceeds a specified threshold, it indicates that the input frame has a structure similar to the atoms of the learned models and concludes that the observed frame has voice content. The results of the proposed detector were compared with other baseline methods and classifiers in this processing field. These results in the presence of stationary, non-stationary and periodic noises were investigated and they are shown that the proposed method based on model learning with spectro-temporal features can correctly detect
{"title":"A Voice Activity Detection Algorithm Using Sparse Non-negative Matrix Factorization-based Model Learning in Spectro-Temporal Domain","authors":"S. Mavaddati","doi":"10.5829/ije.2023.36.08b.08","DOIUrl":"https://doi.org/10.5829/ije.2023.36.08b.08","url":null,"abstract":"Voice activity detectors are presented to extract silence/speech segments of the speech signal to eliminate different background noise signals. A novel voice activity detector is proposed in this paper using spectro-temporal features extracted from the auditory model of the speech signal. After extracting the scale, rate, and frequency features from this feature space, a sparse structured principal component analysis algorithm is used to consider the basic components of these features and reduce the dimension of learning data. Then these feature vectors are employed to learn the models by the sparse non-negative matrix factorization algorithm. The model learning procedure is performed to represent each feature vector with a proper sparse rate based on the selected atoms. Voice activity detection of the input frames is performed by computing the energy of the sparse representation for each input frame over the composite model. If the calculated energy exceeds a specified threshold, it indicates that the input frame has a structure similar to the atoms of the learned models and concludes that the observed frame has voice content. The results of the proposed detector were compared with other baseline methods and classifiers in this processing field. These results in the presence of stationary, non-stationary and periodic noises were investigated and they are shown that the proposed method based on model learning with spectro-temporal features can correctly detect","PeriodicalId":14109,"journal":{"name":"International Journal of Engineering","volume":"1 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70899063","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 : 2023-01-01DOI: 10.5829/ije.2023.36.08b.12
P. Tarassodi, J. Adabi, M. Rezanejad
Integrated energy systems, including renewable energy sources (RES) and battery energy storage (BES), have high potentialities to deal with issues caused by the high penetration of electric vehicles (EVs) in power systems. The full realization of the benefits of such systems depends on implementation of an energy management system (EMS) in order to monitor power sharing between different components of the system. In this paper, an EMS is proposed for a multi-port converter as an integrated PV/BES/EV energy system. It takes into account the EV mileage, BES dis/charge cycles and financial benefits
{"title":"Energy Management of an Integrated PV/Battery/Electric Vehicles Energy System Interfaced by a Multi-port Converter","authors":"P. Tarassodi, J. Adabi, M. Rezanejad","doi":"10.5829/ije.2023.36.08b.12","DOIUrl":"https://doi.org/10.5829/ije.2023.36.08b.12","url":null,"abstract":"Integrated energy systems, including renewable energy sources (RES) and battery energy storage (BES), have high potentialities to deal with issues caused by the high penetration of electric vehicles (EVs) in power systems. The full realization of the benefits of such systems depends on implementation of an energy management system (EMS) in order to monitor power sharing between different components of the system. In this paper, an EMS is proposed for a multi-port converter as an integrated PV/BES/EV energy system. It takes into account the EV mileage, BES dis/charge cycles and financial benefits","PeriodicalId":14109,"journal":{"name":"International Journal of Engineering","volume":"1 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70899185","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 : 2023-01-01DOI: 10.5829/ije.2023.36.10a.01
F. Ghaderi, A. Toloei, R. Ghasemi
The purpose of this paper is obstacle avoidance and moving target tracking for a quadrotor. Solving the obstacle crossing problem for the quadrotor includes two parts. The first part is controlling the attitude and position. The second part is path planning to pass obstacles. In this paper, the attitude and position of the quadrotor are controlled by super-twisting sliding mode control (SMC) and non-singular terminal super-twisting SMC. The simulation results of these two methods were compared. In the non-singular terminal ST-SMC method, the convergence time was approximately 5% less than the super-twisting SMC method. Also, the non-singular terminal ST-SMC method has more ability to remove disturbances. Because of the better results, the non-single terminal ST-SMC was used to control the position and attitude of the quadrotor to cross obstacles and track the target. In the second step, to cross obstacles, the potential field path planning algorithm is used. This method is a combination of attraction towards the target and repulsion from obstacles. The results of the simulation of crossing the obstacles were presented in four missions. In the first mission, the obstacles and the target are static, and in the second mission, the obstacles are static, and the target is moving. In the following, the obstacles and the target are dynamic; in the last mission, a combination of static and dynamic obstacles is considered, and the target is moving. The simulation results of four missions show that the quadrotor does not hit obstacles and reaches the desired goal, till the applied method is successful. doi: 10.5829/ije.2023.36.10a.01
{"title":"Quadrotor Control for Tracking Moving Target, and Dynamic Obstacle Avoidance Based on Potential Field Method","authors":"F. Ghaderi, A. Toloei, R. Ghasemi","doi":"10.5829/ije.2023.36.10a.01","DOIUrl":"https://doi.org/10.5829/ije.2023.36.10a.01","url":null,"abstract":"The purpose of this paper is obstacle avoidance and moving target tracking for a quadrotor. Solving the obstacle crossing problem for the quadrotor includes two parts. The first part is controlling the attitude and position. The second part is path planning to pass obstacles. In this paper, the attitude and position of the quadrotor are controlled by super-twisting sliding mode control (SMC) and non-singular terminal super-twisting SMC. The simulation results of these two methods were compared. In the non-singular terminal ST-SMC method, the convergence time was approximately 5% less than the super-twisting SMC method. Also, the non-singular terminal ST-SMC method has more ability to remove disturbances. Because of the better results, the non-single terminal ST-SMC was used to control the position and attitude of the quadrotor to cross obstacles and track the target. In the second step, to cross obstacles, the potential field path planning algorithm is used. This method is a combination of attraction towards the target and repulsion from obstacles. The results of the simulation of crossing the obstacles were presented in four missions. In the first mission, the obstacles and the target are static, and in the second mission, the obstacles are static, and the target is moving. In the following, the obstacles and the target are dynamic; in the last mission, a combination of static and dynamic obstacles is considered, and the target is moving. The simulation results of four missions show that the quadrotor does not hit obstacles and reaches the desired goal, till the applied method is successful. doi: 10.5829/ije.2023.36.10a.01","PeriodicalId":14109,"journal":{"name":"International Journal of Engineering","volume":"15 4 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70899385","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 : 2023-01-01DOI: 10.5829/ije.2023.36.08b.17
M. Mohammadi, A. Dideban, B. Moshiri
{"title":"A Novel Approach to Modular Control of Highway and Arterial Networks using Petri Nets Modeling","authors":"M. Mohammadi, A. Dideban, B. Moshiri","doi":"10.5829/ije.2023.36.08b.17","DOIUrl":"https://doi.org/10.5829/ije.2023.36.08b.17","url":null,"abstract":"","PeriodicalId":14109,"journal":{"name":"International Journal of Engineering","volume":"1 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70899425","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 : 2023-01-01DOI: 10.5829/ije.2023.36.09c.03
D. Petrakov, A. V. Loseva, N. T. Alikhanov, H. Jafarpour
{"title":"Standards for Selection of Surfactant Compositions used in Completion and Stimulation Fluids","authors":"D. Petrakov, A. V. Loseva, N. T. Alikhanov, H. Jafarpour","doi":"10.5829/ije.2023.36.09c.03","DOIUrl":"https://doi.org/10.5829/ije.2023.36.09c.03","url":null,"abstract":"","PeriodicalId":14109,"journal":{"name":"International Journal of Engineering","volume":"1 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70899542","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 : 2023-01-01DOI: 10.5829/ije.2023.36.10a.11
R. Khandan, A. Sivandipour, E. Noroozinejad Farsangi
{"title":"A Parametric Study on Improved Reduced Beam Section Connections with Post-tensioning to Enhance Seismic Resilience","authors":"R. Khandan, A. Sivandipour, E. Noroozinejad Farsangi","doi":"10.5829/ije.2023.36.10a.11","DOIUrl":"https://doi.org/10.5829/ije.2023.36.10a.11","url":null,"abstract":"","PeriodicalId":14109,"journal":{"name":"International Journal of Engineering","volume":"47 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70899844","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 : 2023-01-01DOI: 10.5829/ije.2023.36.01a.09
P. Shah, C. Patel
{"title":"Integration of Remote Sensing and Big Data to Study Spatial Distribution of Urban Heat Island for Cities with Different Terrain","authors":"P. Shah, C. Patel","doi":"10.5829/ije.2023.36.01a.09","DOIUrl":"https://doi.org/10.5829/ije.2023.36.01a.09","url":null,"abstract":"","PeriodicalId":14109,"journal":{"name":"International Journal of Engineering","volume":"1 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70894657","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 : 2023-01-01DOI: 10.5829/ije.2023.36.02b.12
R. Moradi, H. Hamidi
{"title":"A New Mechanism for Detecting Shilling Attacks in Recommender Systems Based on Social Network Analysis and Gaussian Rough Neural Network with Emotional Learning","authors":"R. Moradi, H. Hamidi","doi":"10.5829/ije.2023.36.02b.12","DOIUrl":"https://doi.org/10.5829/ije.2023.36.02b.12","url":null,"abstract":"","PeriodicalId":14109,"journal":{"name":"International Journal of Engineering","volume":"1 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70894563","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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