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/IETC47856.2020.9249101
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/IETC47856.2020.9249203
Hossein Parastvand, O. Bass, M. Masoum, Zeinab Moghaddam, S. Lachowicz, Airlie Chapman
EV placement and sizing are the subject of ever increasing studies in the last decade mostly relying on optimization approaches. This study looks at the EV network as a complex network where the nodes are the potential locations of charging stations (CSs) and edges (links) represent the traffic flow. It then investigates the impacts of some graph properties on the solutions of the CS placement problem. In fact, the graph centrality and its variants are used to find the locations of CSs to reduce the average waiting times at the stations. It is shown that the centrality based analysis can lead to promising results for small and medium EV networks leaving the large networks to be addressed by more complicated approaches. Simulations are performed on the central (downtown) part of Perth City EV network, Western Australia scaled down by the real traffic information.
{"title":"Placement and Sizing of EV Charging Stations According to Centrality of the Underlying Network","authors":"Hossein Parastvand, O. Bass, M. Masoum, Zeinab Moghaddam, S. Lachowicz, Airlie Chapman","doi":"10.1109/IETC47856.2020.9249203","DOIUrl":"https://doi.org/10.1109/IETC47856.2020.9249203","url":null,"abstract":"EV placement and sizing are the subject of ever increasing studies in the last decade mostly relying on optimization approaches. This study looks at the EV network as a complex network where the nodes are the potential locations of charging stations (CSs) and edges (links) represent the traffic flow. It then investigates the impacts of some graph properties on the solutions of the CS placement problem. In fact, the graph centrality and its variants are used to find the locations of CSs to reduce the average waiting times at the stations. It is shown that the centrality based analysis can lead to promising results for small and medium EV networks leaving the large networks to be addressed by more complicated approaches. Simulations are performed on the central (downtown) part of Perth City EV network, Western Australia scaled down by the real traffic information.","PeriodicalId":186446,"journal":{"name":"2020 Intermountain Engineering, Technology and Computing (IETC)","volume":"13 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":"133819555","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/IETC47856.2020.9249158
Shafinaz Islam, Damian Valles, M. Forstner
Conservation management of endangered amphibians requires efficient and consistent detection. Consequently, detection of species using automatic animal voice detection from audio recordings is a topic of interest in bioacoustics. This is necessary for amphibian population stewardship as well as assessing the health of those natural systems. The Houston Toad is an endangered chorusing amphibian species, and researchers of the Biology Department at Texas State University are working on a project to prevent its extinction. The researchers' initial approach is an Automated Recording Device (ARD), Toadphone-1, which is an embedded solution. It has shown limited success in identifying toad calls. If a species is not Houston Toad but has a frequency spectrum close to Houston Toad, then Toadphone-1 falsely identifies it as a Houston Toad. Hence, the current ARD solution produces high false-positives. This paper experimented with a modified software solution for existing ARD using 39 Mel-Frequency Cepstral Coefficients (MFCCs) with delta and delta-delta coefficients as audio features and Gated Recurrent Units (GRUs) as a classifier to detect Houston Toad. Results show that this experimented software solution produces 98.82% training accuracy and 97.50% validation accuracy. Test accuracy for detecting Houston Toad is 88.57%, which is approximately 20% greater than the accuracy presented by the existing software solution of Toadphone-1.
{"title":"A Houston Toad Call Detection Initial Approach Using Gated Recurrent Units for Conservational Efforts","authors":"Shafinaz Islam, Damian Valles, M. Forstner","doi":"10.1109/IETC47856.2020.9249158","DOIUrl":"https://doi.org/10.1109/IETC47856.2020.9249158","url":null,"abstract":"Conservation management of endangered amphibians requires efficient and consistent detection. Consequently, detection of species using automatic animal voice detection from audio recordings is a topic of interest in bioacoustics. This is necessary for amphibian population stewardship as well as assessing the health of those natural systems. The Houston Toad is an endangered chorusing amphibian species, and researchers of the Biology Department at Texas State University are working on a project to prevent its extinction. The researchers' initial approach is an Automated Recording Device (ARD), Toadphone-1, which is an embedded solution. It has shown limited success in identifying toad calls. If a species is not Houston Toad but has a frequency spectrum close to Houston Toad, then Toadphone-1 falsely identifies it as a Houston Toad. Hence, the current ARD solution produces high false-positives. This paper experimented with a modified software solution for existing ARD using 39 Mel-Frequency Cepstral Coefficients (MFCCs) with delta and delta-delta coefficients as audio features and Gated Recurrent Units (GRUs) as a classifier to detect Houston Toad. Results show that this experimented software solution produces 98.82% training accuracy and 97.50% validation accuracy. Test accuracy for detecting Houston Toad is 88.57%, which is approximately 20% greater than the accuracy presented by the existing software solution of Toadphone-1.","PeriodicalId":186446,"journal":{"name":"2020 Intermountain Engineering, Technology and Computing (IETC)","volume":"31 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":"133896895","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/IETC47856.2020.9249139
S. Moaveni, Krista Ruggles, K. Sohraby, V. Ilieva, Shelby Halm, Parker C. Fawson
SEEdPODs are mobile technology libraries for teachers and students at the elementary, middle/junior high and high school levels. An advanced version of this technology-based educational laboratory can also be offered as professional education and training for employees in industries. Utah Valley University's (UVU) College of Engineering and Technology (CET), in collaboration with the School of Education (SOE) and The Center for the School of the Future at Utah State University (USU), is providing laboratory projects and training opportunities for teachers as part of their professional development, and thus exposing K-12 students to college level education and trade career training.
{"title":"SEEdPODs: An Effective Vehicle for Engineering and Technology Education","authors":"S. Moaveni, Krista Ruggles, K. Sohraby, V. Ilieva, Shelby Halm, Parker C. Fawson","doi":"10.1109/IETC47856.2020.9249139","DOIUrl":"https://doi.org/10.1109/IETC47856.2020.9249139","url":null,"abstract":"SEEdPODs are mobile technology libraries for teachers and students at the elementary, middle/junior high and high school levels. An advanced version of this technology-based educational laboratory can also be offered as professional education and training for employees in industries. Utah Valley University's (UVU) College of Engineering and Technology (CET), in collaboration with the School of Education (SOE) and The Center for the School of the Future at Utah State University (USU), is providing laboratory projects and training opportunities for teachers as part of their professional development, and thus exposing K-12 students to college level education and trade career training.","PeriodicalId":186446,"journal":{"name":"2020 Intermountain Engineering, Technology and Computing (IETC)","volume":"10 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":"133310470","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/IETC47856.2020.9249207
Daniel Hatch, Seth Y. Christensen, E. Oliver
The experience of the digital media staff in alignment with a body of literature suggests the need for additional research for developing student rubrics for evaluating the creative works of students. A mixed-methods, action-research based intervention for evaluating how instructors may consistently grade and evaluate the creative works of students without subjectivity or bias between instructors. Additionally, these evaluations could have the intended outcome of improving learning outcomes for students across various courses with different faculty members. Without a more consistent delivery of content and evaluation of their work, students cannot perform equally from instructor to instructor. This paper reviews the theory, methodology, and study design through the use of quantitative scores and qualitative surveys to determine the efficacy of the intervention.
{"title":"Developing Student Rubrics For Creative Evaluation: Academic Research To Improve Student Learning Outcomes And Increase Faculty Grading Efficiency","authors":"Daniel Hatch, Seth Y. Christensen, E. Oliver","doi":"10.1109/IETC47856.2020.9249207","DOIUrl":"https://doi.org/10.1109/IETC47856.2020.9249207","url":null,"abstract":"The experience of the digital media staff in alignment with a body of literature suggests the need for additional research for developing student rubrics for evaluating the creative works of students. A mixed-methods, action-research based intervention for evaluating how instructors may consistently grade and evaluate the creative works of students without subjectivity or bias between instructors. Additionally, these evaluations could have the intended outcome of improving learning outcomes for students across various courses with different faculty members. Without a more consistent delivery of content and evaluation of their work, students cannot perform equally from instructor to instructor. This paper reviews the theory, methodology, and study design through the use of quantitative scores and qualitative surveys to determine the efficacy of the intervention.","PeriodicalId":186446,"journal":{"name":"2020 Intermountain Engineering, Technology and Computing (IETC)","volume":"12 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":"116773665","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}
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