Pub Date : 2020-10-02DOI: 10.1109/IETC47856.2020.9249188
David Mulder, Joseph Ssempala, Todd Walton, Ben Parker, Stephen Brough, Sam Bush, Soha Boroojerdi, Jingpeng Tang
CPU scheduling is the basis of multi-programmable operating systems to make a computer more productive and is varied active research topic most especially with increasing multicore computers to efficiently switch the CPU among processes. This paper discusses three existing process scheduling algorithms, Round Robin (RR), First Come First Serve (FCFS), Multilevel Feedback Queue (MFQ) and makes the argument that the optimal quantums are 4 and 13 for MFQ. Proposals for further work include exploring concepts such as machine learning to determine the best quantum numbers; Implementation of parallelization to utilize multicore computers.
{"title":"Impact of Quantum Values on Multilevel Feedback Queue for CPU Scheduling","authors":"David Mulder, Joseph Ssempala, Todd Walton, Ben Parker, Stephen Brough, Sam Bush, Soha Boroojerdi, Jingpeng Tang","doi":"10.1109/IETC47856.2020.9249188","DOIUrl":"https://doi.org/10.1109/IETC47856.2020.9249188","url":null,"abstract":"CPU scheduling is the basis of multi-programmable operating systems to make a computer more productive and is varied active research topic most especially with increasing multicore computers to efficiently switch the CPU among processes. This paper discusses three existing process scheduling algorithms, Round Robin (RR), First Come First Serve (FCFS), Multilevel Feedback Queue (MFQ) and makes the argument that the optimal quantums are 4 and 13 for MFQ. Proposals for further work include exploring concepts such as machine learning to determine the best quantum numbers; Implementation of parallelization to utilize multicore computers.","PeriodicalId":186446,"journal":{"name":"2020 Intermountain Engineering, Technology and Computing (IETC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131684239","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 : 2020-10-02DOI: 10.1109/IETC47856.2020.9249147
Rezwan Matin, Damian Valles
Children who fall into the autism spectrum have difficulty communicating with others. In this work, a speech emotion recognition model has been developed to help children with Autism Spectrum Disorder (ASD) identify emotions in social interactions. The model is created using the Python programming language to develop a machine learning model based on the Support Vector Machine (SVM). SVM has proven to yield high accuracies when classifying inputs in speech processing. Individual audio databases are specifically designed to train models for the emotion recognition task. One such speech corpus is the Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS), which is used to train the model in this work. Acoustic feature extraction will be part of the pre-processing step utilizing Python libraries. The libROSA library is used in this work. The first 26 Mel-frequency Cepstral Coefficients (MFCCs) and the zero-crossing rate (ZCR) are extracted and used as the acoustic features to train the machine learning model. The final SVM model provided a test accuracy of 77%. This model also performed well when significant background noise was introduced to the RAVDESS audio recordings, for which it yielded a test accuracy of 64%.
{"title":"A Speech Emotion Recognition Solution-based on Support Vector Machine for Children with Autism Spectrum Disorder to Help Identify Human Emotions","authors":"Rezwan Matin, Damian Valles","doi":"10.1109/IETC47856.2020.9249147","DOIUrl":"https://doi.org/10.1109/IETC47856.2020.9249147","url":null,"abstract":"Children who fall into the autism spectrum have difficulty communicating with others. In this work, a speech emotion recognition model has been developed to help children with Autism Spectrum Disorder (ASD) identify emotions in social interactions. The model is created using the Python programming language to develop a machine learning model based on the Support Vector Machine (SVM). SVM has proven to yield high accuracies when classifying inputs in speech processing. Individual audio databases are specifically designed to train models for the emotion recognition task. One such speech corpus is the Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS), which is used to train the model in this work. Acoustic feature extraction will be part of the pre-processing step utilizing Python libraries. The libROSA library is used in this work. The first 26 Mel-frequency Cepstral Coefficients (MFCCs) and the zero-crossing rate (ZCR) are extracted and used as the acoustic features to train the machine learning model. The final SVM model provided a test accuracy of 77%. This model also performed well when significant background noise was introduced to the RAVDESS audio recordings, for which it yielded a test accuracy of 64%.","PeriodicalId":186446,"journal":{"name":"2020 Intermountain Engineering, Technology and Computing (IETC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123354467","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 : 2020-10-02DOI: 10.1109/IETC47856.2020.9249113
S. Ferdous, Farhad Shahnia, G. Shafiullah
An autonomous microgrid (MG) may observe overloading and renewable-based excessive generation. Such issues can lead to unacceptable deviation in the MG's voltage or frequency. These problems can be eased by load-shedding or renewable curtailment. On the other hand, forming provisional neighboring MG clusters and facilitating power exchange among them can also improve the situation more economically and effectively. The power exchange link between the MGs can be in the various forms such as a three-phase ac, a single-phase ac or a dc link. This approach requires power electronics-based converters to interlink the three-phase ac microgrid with the power exchange link and control the power-sharing amongst them. This paper has studied such structures and has proposed a decentralized approach to control the converters of the neighboring MGs to enable power-sharing amongst them. The performance of the proposed control mechanisms is evaluated through simulation studies in PSIM®.
{"title":"Various Structures and Control Strategies for Provisional Energy Transaction Management in Coupled Microgrid Clusters","authors":"S. Ferdous, Farhad Shahnia, G. Shafiullah","doi":"10.1109/IETC47856.2020.9249113","DOIUrl":"https://doi.org/10.1109/IETC47856.2020.9249113","url":null,"abstract":"An autonomous microgrid (MG) may observe overloading and renewable-based excessive generation. Such issues can lead to unacceptable deviation in the MG's voltage or frequency. These problems can be eased by load-shedding or renewable curtailment. On the other hand, forming provisional neighboring MG clusters and facilitating power exchange among them can also improve the situation more economically and effectively. The power exchange link between the MGs can be in the various forms such as a three-phase ac, a single-phase ac or a dc link. This approach requires power electronics-based converters to interlink the three-phase ac microgrid with the power exchange link and control the power-sharing amongst them. This paper has studied such structures and has proposed a decentralized approach to control the converters of the neighboring MGs to enable power-sharing amongst them. The performance of the proposed control mechanisms is evaluated through simulation studies in PSIM®.","PeriodicalId":186446,"journal":{"name":"2020 Intermountain Engineering, Technology and Computing (IETC)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122607423","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 : 2020-10-02DOI: 10.1109/IETC47856.2020.9249210
Md Fahdul Wahab Chowdhury, M. Schoen, Ji-chao Li
This paper presents a novel approach to mitigate a long-standing instability problem in axial flow compressors. The instabilities known as stall and surge limits the operating range of these systems. Moore and Greitzer combined their work on modelling axial compressor systems, resulting into the Moore-Greitzer (MG) model. This model is built on the assumption of a specific compressor characteristic. However, the parameters of the characteristics are dependent on the compressor geometry and other factors. As each compressor exhibits different characteristics, the parameters of the characteristic equation of the MG model are not the same and difficult to estimate. Thus, the MG model is not suitable to provide a compressor's specific dynamics - rather it describes the general fluid dynamics of a compression system. Hence, addressing the fluid flow control problem using the MG model is difficult without the knowledge of the specific characteristics. In order to solve this problem, a new approach is proposed in this paper that allows for the extraction of a compressor's specific characteristic parameters using only experimental data. This approach employs a genetic algorithm-based optimization technique. The proposed approach is tested using simulated data from the MG model and experimental data from a one-stage axial compressor test system. The extracted parameters are then utilized to design a fuzzy logic controller for the specific one-stage axial compressor. The objective of the controller is to regulate the mass flow rate by varying the throttle of the compressor in order to maintain a specific operating point. The input into the controller is the error between the desired operating point and the actual operating point. The compressor - operating without control - becomes unstable at the maximum pressure rise coefficient. The operating point of the system is set just below the maximum pressure rise coefficient and the corresponding mass flow coefficient. From the simulation result of the pressure rise and mass flow coefficient, it is found that the compressor can be operated safely at this new operating point.
{"title":"Parameter Identification and Fuzzy Logic Controller Design for a One-Stage Axial Flow Compressor System based on Moore-Greitzer Model","authors":"Md Fahdul Wahab Chowdhury, M. Schoen, Ji-chao Li","doi":"10.1109/IETC47856.2020.9249210","DOIUrl":"https://doi.org/10.1109/IETC47856.2020.9249210","url":null,"abstract":"This paper presents a novel approach to mitigate a long-standing instability problem in axial flow compressors. The instabilities known as stall and surge limits the operating range of these systems. Moore and Greitzer combined their work on modelling axial compressor systems, resulting into the Moore-Greitzer (MG) model. This model is built on the assumption of a specific compressor characteristic. However, the parameters of the characteristics are dependent on the compressor geometry and other factors. As each compressor exhibits different characteristics, the parameters of the characteristic equation of the MG model are not the same and difficult to estimate. Thus, the MG model is not suitable to provide a compressor's specific dynamics - rather it describes the general fluid dynamics of a compression system. Hence, addressing the fluid flow control problem using the MG model is difficult without the knowledge of the specific characteristics. In order to solve this problem, a new approach is proposed in this paper that allows for the extraction of a compressor's specific characteristic parameters using only experimental data. This approach employs a genetic algorithm-based optimization technique. The proposed approach is tested using simulated data from the MG model and experimental data from a one-stage axial compressor test system. The extracted parameters are then utilized to design a fuzzy logic controller for the specific one-stage axial compressor. The objective of the controller is to regulate the mass flow rate by varying the throttle of the compressor in order to maintain a specific operating point. The input into the controller is the error between the desired operating point and the actual operating point. The compressor - operating without control - becomes unstable at the maximum pressure rise coefficient. The operating point of the system is set just below the maximum pressure rise coefficient and the corresponding mass flow coefficient. From the simulation result of the pressure rise and mass flow coefficient, it is found that the compressor can be operated safely at this new operating point.","PeriodicalId":186446,"journal":{"name":"2020 Intermountain Engineering, Technology and Computing (IETC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133859213","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 : 2020-10-02DOI: 10.1109/IETC47856.2020.9249217
John Edwards, Joseph Ditton, Bishal Sainju, Joshua Dawson
This paper reports an analysis of quantitative data obtained during four weeks of a CS1 course. The data consists of programming events logged while students complete eight programming projects and include keystrokes, text pastes, task switches, and run attempts. We analyze the data to answer two related research questions. The first is which commonly studied student programming behaviors generalize well as predictors across programming assignments. The second question is which commonly studied student programming behaviors generalize well as predictors across outcome measures. We find that of the attributes we tested only a small subset are consistent predictors of success across projects, although most have some correlation in some projects. Few attributes were consistent across performance measures. Considering that many intervention strategies use small numbers of projects for student classification, our results suggest that care should be taken in drawing conclusions from data analyzed in the aggregate, both across programming projects and across performance measures.
{"title":"Different assignments as different contexts: predictors across assignments and outcome measures in CS1","authors":"John Edwards, Joseph Ditton, Bishal Sainju, Joshua Dawson","doi":"10.1109/IETC47856.2020.9249217","DOIUrl":"https://doi.org/10.1109/IETC47856.2020.9249217","url":null,"abstract":"This paper reports an analysis of quantitative data obtained during four weeks of a CS1 course. The data consists of programming events logged while students complete eight programming projects and include keystrokes, text pastes, task switches, and run attempts. We analyze the data to answer two related research questions. The first is which commonly studied student programming behaviors generalize well as predictors across programming assignments. The second question is which commonly studied student programming behaviors generalize well as predictors across outcome measures. We find that of the attributes we tested only a small subset are consistent predictors of success across projects, although most have some correlation in some projects. Few attributes were consistent across performance measures. Considering that many intervention strategies use small numbers of projects for student classification, our results suggest that care should be taken in drawing conclusions from data analyzed in the aggregate, both across programming projects and across performance measures.","PeriodicalId":186446,"journal":{"name":"2020 Intermountain Engineering, Technology and Computing (IETC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114321673","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 : 2020-10-02DOI: 10.1109/IETC47856.2020.9249216
D. V. João, Paula Zenni Lodetti, Aguinaldo dos Santos, M. A. Izumida Martins, João Felipe Brandão Almeida, Daniel Marques da Silva Chaves
Virtual reality is being considered as an innovative way to perform training in many industry sector. Even though it has being developed in many aspects, the final users still resistant for its full use in electrical power sector. This paper evaluate the opinion of expert professionals in the electrical utility sector to analyses an underground activity in virtual reality. The main goal is to observe what is needed to have a complete application of Virtual Reality in a risk operation present in the electrical sector, and to propose functionalities that may improve the immersion and satisfaction in the Virtual Reality training procedures.
{"title":"Virtual Reality Training in Electric Utility Sector - An Underground Application Study Case","authors":"D. V. João, Paula Zenni Lodetti, Aguinaldo dos Santos, M. A. Izumida Martins, João Felipe Brandão Almeida, Daniel Marques da Silva Chaves","doi":"10.1109/IETC47856.2020.9249216","DOIUrl":"https://doi.org/10.1109/IETC47856.2020.9249216","url":null,"abstract":"Virtual reality is being considered as an innovative way to perform training in many industry sector. Even though it has being developed in many aspects, the final users still resistant for its full use in electrical power sector. This paper evaluate the opinion of expert professionals in the electrical utility sector to analyses an underground activity in virtual reality. The main goal is to observe what is needed to have a complete application of Virtual Reality in a risk operation present in the electrical sector, and to propose functionalities that may improve the immersion and satisfaction in the Virtual Reality training procedures.","PeriodicalId":186446,"journal":{"name":"2020 Intermountain Engineering, Technology and Computing (IETC)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114070833","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 : 2020-10-02DOI: 10.1109/IETC47856.2020.9249101
H. Kashif, M. Khan
Wireless communication systems become more demanding in the current era due to new bandwidth hungry applications: video-on-demand, online streaming, online sale, and purchase and cloud computing. High data rates applications increase the requirements for wireless capacity. The available radio and microwave frequency bands are dense enough to be used for launching additional high bandwidth applications. There is a dire requirement to have such a technology, which can fulfill the current demands. Optical communication is an emerging technology being used to overcome the scarcity of radio frequency (RF) spectrum. Optical technology has been vulnerable by its deteriorating links over long distances due to atmospheric turbulence and severe weather conditions as well as signal attenuation by external noise. In the paper, the focus is given on the detailed review of the free-space communication system (FSCS) and to evaluate the performance and to recommend for future communication systems. An analysis of the signal behavior affected by weather attenuation and atmospheric turbulence under different turbulent models is also developed. The main contribution of the article is to highlight the research gaps in the area of wireless communication and recommend FSCS as a future promising communication technology among the individual's optical and RF technologies.
{"title":"Future of Free Space Communication Systems (FSCS): An Overview","authors":"H. Kashif, M. Khan","doi":"10.1109/IETC47856.2020.9249101","DOIUrl":"https://doi.org/10.1109/IETC47856.2020.9249101","url":null,"abstract":"Wireless communication systems become more demanding in the current era due to new bandwidth hungry applications: video-on-demand, online streaming, online sale, and purchase and cloud computing. High data rates applications increase the requirements for wireless capacity. The available radio and microwave frequency bands are dense enough to be used for launching additional high bandwidth applications. There is a dire requirement to have such a technology, which can fulfill the current demands. Optical communication is an emerging technology being used to overcome the scarcity of radio frequency (RF) spectrum. Optical technology has been vulnerable by its deteriorating links over long distances due to atmospheric turbulence and severe weather conditions as well as signal attenuation by external noise. In the paper, the focus is given on the detailed review of the free-space communication system (FSCS) and to evaluate the performance and to recommend for future communication systems. An analysis of the signal behavior affected by weather attenuation and atmospheric turbulence under different turbulent models is also developed. The main contribution of the article is to highlight the research gaps in the area of wireless communication and recommend FSCS as a future promising communication technology among the individual's optical and RF technologies.","PeriodicalId":186446,"journal":{"name":"2020 Intermountain Engineering, Technology and Computing (IETC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124301539","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 : 2020-10-02DOI: 10.1109/IETC47856.2020.9249127
M. Snider
Digital architectural restorations, sometimes called virtual restorations, are three-dimensional computer models that are designed to reconstruct a historic structure in much the same way a physical restoration would. Using the existing architectural fabric and archival research, both methods speculate the structure and finishes of the original space. They can create wholly immersive environments that are populated with period furnishings, ephemera, people, and atmosphere in cases where original structures and objects which have been lost or destroyed, or where subsequent construction has altered the building. Computer software which is readily available and relatively inexpensive can be combined with the cinematographic techniques to produce visually dynamic re-created scenes that illustrate architectural spaces from the past for substantially smaller budgets.
{"title":"Using Cinematographic Tools for Historic House Digital Restorations","authors":"M. Snider","doi":"10.1109/IETC47856.2020.9249127","DOIUrl":"https://doi.org/10.1109/IETC47856.2020.9249127","url":null,"abstract":"Digital architectural restorations, sometimes called virtual restorations, are three-dimensional computer models that are designed to reconstruct a historic structure in much the same way a physical restoration would. Using the existing architectural fabric and archival research, both methods speculate the structure and finishes of the original space. They can create wholly immersive environments that are populated with period furnishings, ephemera, people, and atmosphere in cases where original structures and objects which have been lost or destroyed, or where subsequent construction has altered the building. Computer software which is readily available and relatively inexpensive can be combined with the cinematographic techniques to produce visually dynamic re-created scenes that illustrate architectural spaces from the past for substantially smaller budgets.","PeriodicalId":186446,"journal":{"name":"2020 Intermountain Engineering, Technology and Computing (IETC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131114973","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 : 2020-10-02DOI: 10.1109/IETC47856.2020.9249141
Sazida B. Islam, Damian Valles, M. Forstner
Camera-traps are noninvasive tools that can capture thousands of images of wildlife species per deployment. To conduct collaborative wildlife monitoring for conservation and to collect up to date information about wildlife species, integrated camera-sensor networking systems have been established at a large scale in Bastrop County, Texas. Species recognition from gathered images is a challenging assignment for computers due to a large amount of intra-class variability, viewpoint variation, lighting illumination, occlusion, background clutter, and deformation. Moreover, processing millions of captured images is daunting, expensive, and time-consuming as most of the images contain only background absent species of interest. This paper proposes a framework of automated wildlife species recognition by image classification using computer-vision techniques and machine learning algorithms. A Convolutional Neural Network (CNN) architecture has been suggested to classify any two species automatically. As an initial experiment, a binary CNN network has been trained and validated with a small public dataset of snakes, and toads/frogs to classify them within their group. The model evaluation achieved 76% accuracy on average for the test data that supports the prospects for the recommended model.
{"title":"Herpetofauna Species Classification from Images with Deep Neural Network","authors":"Sazida B. Islam, Damian Valles, M. Forstner","doi":"10.1109/IETC47856.2020.9249141","DOIUrl":"https://doi.org/10.1109/IETC47856.2020.9249141","url":null,"abstract":"Camera-traps are noninvasive tools that can capture thousands of images of wildlife species per deployment. To conduct collaborative wildlife monitoring for conservation and to collect up to date information about wildlife species, integrated camera-sensor networking systems have been established at a large scale in Bastrop County, Texas. Species recognition from gathered images is a challenging assignment for computers due to a large amount of intra-class variability, viewpoint variation, lighting illumination, occlusion, background clutter, and deformation. Moreover, processing millions of captured images is daunting, expensive, and time-consuming as most of the images contain only background absent species of interest. This paper proposes a framework of automated wildlife species recognition by image classification using computer-vision techniques and machine learning algorithms. A Convolutional Neural Network (CNN) architecture has been suggested to classify any two species automatically. As an initial experiment, a binary CNN network has been trained and validated with a small public dataset of snakes, and toads/frogs to classify them within their group. The model evaluation achieved 76% accuracy on average for the test data that supports the prospects for the recommended model.","PeriodicalId":186446,"journal":{"name":"2020 Intermountain Engineering, Technology and Computing (IETC)","volume":"04 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130236367","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 : 2020-10-02DOI: 10.1109/IETC47856.2020.9249114
Gabriel H. S. Costa, B. Pacheco, M. A. Martins, R. O. Brandão
Distribution grids become increasingly dynamic due to grid automation, increased distributed energy resources and continuous load variations. Faced with these conditions, distribution utilities have difficulty keeping their protection system operating at an optimal point for their entire distribution system. As a solution to ease protection settings calculation throughout the utility operating area, common protection methodologies are used, which consist in generic oversized parameters. Without the optimal design of protection parameters, distribution utilities are constantly facing fault detection problems for broken cables or high impedance faults. This work presents an Adaptive Protection System, designed to learn the grid load profile and adapt neutral overcurrent protections, in order to make the protection more sensitive. The proposed system uses two types of adaptive protection, Planned and Emergency, so that distribution protection can always be updated, even in the event of load growth in the grid, distributed energy resources increase, or even after a load-switching event on the distribution system. The article focuses on a new philosophy of autonomous and dynamic protection adjustments, as the distribution grid undergoes through changes.
{"title":"Adaptive Protection System Using Neutral Currents Studies and Load Estimation","authors":"Gabriel H. S. Costa, B. Pacheco, M. A. Martins, R. O. Brandão","doi":"10.1109/IETC47856.2020.9249114","DOIUrl":"https://doi.org/10.1109/IETC47856.2020.9249114","url":null,"abstract":"Distribution grids become increasingly dynamic due to grid automation, increased distributed energy resources and continuous load variations. Faced with these conditions, distribution utilities have difficulty keeping their protection system operating at an optimal point for their entire distribution system. As a solution to ease protection settings calculation throughout the utility operating area, common protection methodologies are used, which consist in generic oversized parameters. Without the optimal design of protection parameters, distribution utilities are constantly facing fault detection problems for broken cables or high impedance faults. This work presents an Adaptive Protection System, designed to learn the grid load profile and adapt neutral overcurrent protections, in order to make the protection more sensitive. The proposed system uses two types of adaptive protection, Planned and Emergency, so that distribution protection can always be updated, even in the event of load growth in the grid, distributed energy resources increase, or even after a load-switching event on the distribution system. The article focuses on a new philosophy of autonomous and dynamic protection adjustments, as the distribution grid undergoes through changes.","PeriodicalId":186446,"journal":{"name":"2020 Intermountain Engineering, Technology and Computing (IETC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121954151","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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