Pub Date : 2023-04-23DOI: 10.1109/ORSS58323.2023.10161734
Michael Meng, Aaron E. Wu, Zane Stokesberry, Tianyun Zhao, Seung Yoon Lee, N. Ghalichechian
A robotic measurement system to characterize antennas in the 6–110 GHz range via both near-field (NF) transformation techniques and far-field (FF) measurements is proposed. Typical measurement systems are not able to adjust distance between the antenna under test (AUT) and standard gain antenna, or can only measure either the NF or FF. To implement a feature-complete system, a robot arm with a repeatability of 0.01 mm is used alongside automated control and data transformation techniques. To demonstrate the capability of the system, we compare the manufacturer data of a 75–110 GHz standard gain horn antenna to both FF measurement data as well as transformed planar NF data. Although the system is still limited in the angle span of certain movements, this can be fixed by adjusting the position of the robot as well as the AUT. The existing data for both the transformed NF as well as measured FF correlate well with data from the manufacturer, indicating the accuracy of the proposed system.
{"title":"Robotic Radiation Pattern Measurement System for 6–110 GHz Based in Both Near Field and Far Field","authors":"Michael Meng, Aaron E. Wu, Zane Stokesberry, Tianyun Zhao, Seung Yoon Lee, N. Ghalichechian","doi":"10.1109/ORSS58323.2023.10161734","DOIUrl":"https://doi.org/10.1109/ORSS58323.2023.10161734","url":null,"abstract":"A robotic measurement system to characterize antennas in the 6–110 GHz range via both near-field (NF) transformation techniques and far-field (FF) measurements is proposed. Typical measurement systems are not able to adjust distance between the antenna under test (AUT) and standard gain antenna, or can only measure either the NF or FF. To implement a feature-complete system, a robot arm with a repeatability of 0.01 mm is used alongside automated control and data transformation techniques. To demonstrate the capability of the system, we compare the manufacturer data of a 75–110 GHz standard gain horn antenna to both FF measurement data as well as transformed planar NF data. Although the system is still limited in the angle span of certain movements, this can be fixed by adjusting the position of the robot as well as the AUT. The existing data for both the transformed NF as well as measured FF correlate well with data from the manufacturer, indicating the accuracy of the proposed system.","PeriodicalId":263086,"journal":{"name":"2023 IEEE International Opportunity Research Scholars Symposium (ORSS)","volume":"33 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132532417","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 : 2023-04-23DOI: 10.1109/ORSS58323.2023.10161735
Isaac Compher, D. Bulanon
Automated robotic fruit harvesting has become an exciting new topic in the last decade, with multiple new developments in the subject every year. With the lack of agricultural workers, robotic harvesting has become even more relevant. However, none of the robotic systems that have been created can compare with the speed of a human worker, and for a robotic system to become economically viable, it must be able to compete with them. OrBot, the Orchard Picking Robot created by the Robotics Vision Lab, has been successful at harvesting at 15s per apple. For this to be commercially viable, the harvesting speed should be around 10s. Using MATLAB optimization techniques, the harvesting time was reduced to 9.5s.
{"title":"Improving The Performance of OrBot The Fruit Picking Robot","authors":"Isaac Compher, D. Bulanon","doi":"10.1109/ORSS58323.2023.10161735","DOIUrl":"https://doi.org/10.1109/ORSS58323.2023.10161735","url":null,"abstract":"Automated robotic fruit harvesting has become an exciting new topic in the last decade, with multiple new developments in the subject every year. With the lack of agricultural workers, robotic harvesting has become even more relevant. However, none of the robotic systems that have been created can compare with the speed of a human worker, and for a robotic system to become economically viable, it must be able to compete with them. OrBot, the Orchard Picking Robot created by the Robotics Vision Lab, has been successful at harvesting at 15s per apple. For this to be commercially viable, the harvesting speed should be around 10s. Using MATLAB optimization techniques, the harvesting time was reduced to 9.5s.","PeriodicalId":263086,"journal":{"name":"2023 IEEE International Opportunity Research Scholars Symposium (ORSS)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134074782","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 : 2023-04-23DOI: 10.1109/ORSS58323.2023.10161777
Matthew Woodward, M. Cohen
We present a method to automatically statistically characterize ionospheric acoustic wave (1–5 minute period) disturbances propagating through the lower region ionosphere (75–85 km) by analyzing magnetic field recordings in the very-low-frequency (VLF) band. The ionosphere is an electrically charged layer at the top of the atmosphere (60–500 km) formed from solar radiation. The lowest region, known as the D-region (60–90 km), is difficult to sense as it is above an elevation suitable for balloons yet below that of satellites. The ionosphere impacts global communications solutions due to its ability to transmit signals beyond line-of-sight to global distances. Acoustic waves are periodic moving oscillations that can disrupt conditions in the lower ionosphere. We describe a method to locate acoustic waves that relies on identifying outliers in the frequency spectrum of 30-minute periods of magnetic field data. These outliers may correlate to acoustic wave disturbances. Past studies of acoustic waves in the ionosphere have been anecdotal case studies. However, detailed information about their occurrences is needed to further reason about the causes of these disturbances, such as hurricanes, thunderstorms, space weather, and air turbulence over mountain ranges.
{"title":"Systematic Statistical Identification of Lower Region Ionosphere Acoustic Waves through VLF Remote Sensing","authors":"Matthew Woodward, M. Cohen","doi":"10.1109/ORSS58323.2023.10161777","DOIUrl":"https://doi.org/10.1109/ORSS58323.2023.10161777","url":null,"abstract":"We present a method to automatically statistically characterize ionospheric acoustic wave (1–5 minute period) disturbances propagating through the lower region ionosphere (75–85 km) by analyzing magnetic field recordings in the very-low-frequency (VLF) band. The ionosphere is an electrically charged layer at the top of the atmosphere (60–500 km) formed from solar radiation. The lowest region, known as the D-region (60–90 km), is difficult to sense as it is above an elevation suitable for balloons yet below that of satellites. The ionosphere impacts global communications solutions due to its ability to transmit signals beyond line-of-sight to global distances. Acoustic waves are periodic moving oscillations that can disrupt conditions in the lower ionosphere. We describe a method to locate acoustic waves that relies on identifying outliers in the frequency spectrum of 30-minute periods of magnetic field data. These outliers may correlate to acoustic wave disturbances. Past studies of acoustic waves in the ionosphere have been anecdotal case studies. However, detailed information about their occurrences is needed to further reason about the causes of these disturbances, such as hurricanes, thunderstorms, space weather, and air turbulence over mountain ranges.","PeriodicalId":263086,"journal":{"name":"2023 IEEE International Opportunity Research Scholars Symposium (ORSS)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121801032","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 : 2023-04-23DOI: 10.1109/ORSS58323.2023.10161812
Ethan G. Weinstock, Yiming Tan, Wantong Li, Shimeng Yu
Resistive Random-Access Memory (RRAM)-based analog compute-in-memory (CIM) chips can be used to accelerate deep neural network (DNN) inference in low power, resource-constrained edge-devices. In this work, we present software algorithm co-design techniques to optimize DNN inference on RRAM-based CIM accelerators for a hand-written digit recognition workload. Our approach involves three key steps: 1) an integer-based training framework that optimizes raw DNN output for low bit-width networks; 2) a row rename step that leverages low weight variance in low-precision networks to reduce network storage requirements; and 3) a row reorder step that leverages the spatial nature of sparsity-aware input control to reduce the effect of analog noise on error rate. We apply our techniques to train a LeNet-5 model using 1-bit weights and 2-bit activations to 96.66% accuracy on the MNIST dataset, reduce area of the final fully connected layer by 45.24%, and reduce the impact of analog noise in the final layer on inference accuracy by 5.6%.
{"title":"Machine Learning Algorithm Co-Design for a 40 nm RRAM Analog Compute-in-Memory Accelerator","authors":"Ethan G. Weinstock, Yiming Tan, Wantong Li, Shimeng Yu","doi":"10.1109/ORSS58323.2023.10161812","DOIUrl":"https://doi.org/10.1109/ORSS58323.2023.10161812","url":null,"abstract":"Resistive Random-Access Memory (RRAM)-based analog compute-in-memory (CIM) chips can be used to accelerate deep neural network (DNN) inference in low power, resource-constrained edge-devices. In this work, we present software algorithm co-design techniques to optimize DNN inference on RRAM-based CIM accelerators for a hand-written digit recognition workload. Our approach involves three key steps: 1) an integer-based training framework that optimizes raw DNN output for low bit-width networks; 2) a row rename step that leverages low weight variance in low-precision networks to reduce network storage requirements; and 3) a row reorder step that leverages the spatial nature of sparsity-aware input control to reduce the effect of analog noise on error rate. We apply our techniques to train a LeNet-5 model using 1-bit weights and 2-bit activations to 96.66% accuracy on the MNIST dataset, reduce area of the final fully connected layer by 45.24%, and reduce the impact of analog noise in the final layer on inference accuracy by 5.6%.","PeriodicalId":263086,"journal":{"name":"2023 IEEE International Opportunity Research Scholars Symposium (ORSS)","volume":"430 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115490518","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 : 2023-04-23DOI: 10.1109/ORSS58323.2023.10161897
Carolyn Butler, Iti Shah, Jacob Kish, Muhammad Salman
Currently, there is no affordable, everyday use chiropractic force sensor. Devices that are used to teach chiropractic students, such as activators and drop tables, assist students in learning but do not give adequate feedback. Our design will be implementing the cheapest materials to make the most reliable force sensing glove which chiropractors can use for their daily work needs. Materials needed to complete this project include pressure sensors, electrical wires, resistors, a breadboard, Raspberry Pi Pico W, a laptop with Thonny software installed, and an analog to digital converter. Our design of the chiropractic force sensor glove will help reduce the amount of confusion when determining the correct amount of force to apply to a chiropractor’s patient. This research will also help to dramatically reduce any severe pain resulting from misplaced forces and pressure applied to chiropractic patients.
{"title":"Cost-Effective Pressure Glove to Measure Forces & Orientation from a Chiropractor","authors":"Carolyn Butler, Iti Shah, Jacob Kish, Muhammad Salman","doi":"10.1109/ORSS58323.2023.10161897","DOIUrl":"https://doi.org/10.1109/ORSS58323.2023.10161897","url":null,"abstract":"Currently, there is no affordable, everyday use chiropractic force sensor. Devices that are used to teach chiropractic students, such as activators and drop tables, assist students in learning but do not give adequate feedback. Our design will be implementing the cheapest materials to make the most reliable force sensing glove which chiropractors can use for their daily work needs. Materials needed to complete this project include pressure sensors, electrical wires, resistors, a breadboard, Raspberry Pi Pico W, a laptop with Thonny software installed, and an analog to digital converter. Our design of the chiropractic force sensor glove will help reduce the amount of confusion when determining the correct amount of force to apply to a chiropractor’s patient. This research will also help to dramatically reduce any severe pain resulting from misplaced forces and pressure applied to chiropractic patients.","PeriodicalId":263086,"journal":{"name":"2023 IEEE International Opportunity Research Scholars Symposium (ORSS)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128612803","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 : 2023-04-23DOI: 10.1109/ORSS58323.2023.10161740
Bennett Bush, Jacob Mack, Luke Hanks, Trinity Collector, Zhuoqi Cai, A. Naeemi, D. Shim
Improving transistor performance is increasingly challenging as technology nodes continue to scale, putting pressure on the limitations of the current industry-dominant transistor model and interconnect material. To find alternative options for more advanced nodes, we investigate the performance of Gate-All-Around Field-Effect Transistor (GAAFET) and Fin-Shaped Field-Effect Transistor (FinFET) devices in Static Random Access Memory (SRAM) cell arrays at the 3nm process node. This paper also presents a comparative study of Back-End-of-Line (BEOL) options from the 7nm to 3nm node. Combining the modeling and simulations of the two device structures and interconnect options, we can extract the necessary parameters for SRAM cell simulation with varied processes in NVSim. Further, we found that the alternative interconnect option was more significant in improving the performance of SRAM cell read/write latency than using a different transistor model.
{"title":"Exploring FinFET and Gate-All-Around FET for SRAM Cell Arrays at the 3 nm Process Node","authors":"Bennett Bush, Jacob Mack, Luke Hanks, Trinity Collector, Zhuoqi Cai, A. Naeemi, D. Shim","doi":"10.1109/ORSS58323.2023.10161740","DOIUrl":"https://doi.org/10.1109/ORSS58323.2023.10161740","url":null,"abstract":"Improving transistor performance is increasingly challenging as technology nodes continue to scale, putting pressure on the limitations of the current industry-dominant transistor model and interconnect material. To find alternative options for more advanced nodes, we investigate the performance of Gate-All-Around Field-Effect Transistor (GAAFET) and Fin-Shaped Field-Effect Transistor (FinFET) devices in Static Random Access Memory (SRAM) cell arrays at the 3nm process node. This paper also presents a comparative study of Back-End-of-Line (BEOL) options from the 7nm to 3nm node. Combining the modeling and simulations of the two device structures and interconnect options, we can extract the necessary parameters for SRAM cell simulation with varied processes in NVSim. Further, we found that the alternative interconnect option was more significant in improving the performance of SRAM cell read/write latency than using a different transistor model.","PeriodicalId":263086,"journal":{"name":"2023 IEEE International Opportunity Research Scholars Symposium (ORSS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130343569","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 : 2023-04-23DOI: 10.1109/ORSS58323.2023.10161911
Anthony Delaughter, Connor Talley, Parker Woods, Richard Woods, M. Allah, Nathan Jones, Andrea Contreras Esquen, A. Tekes
Soft robots have received great attention from researchers due to their inherent properties of imitating the bionic motion we see in nature. Robots incorporating soft members deform when subjected to loading with enhanced motion capabilities and possess a simple manufacturing process compared to their rigid counterparts. However, despite their superiorities, it remains a challenging task to obtain the dynamic model of complex soft robots. In this study, we designed two closed-chain soft robots and developed the physical models as a single piece using a dual extruder 3D printer and created MATLAB Simscape models with a mask to enable the user interface so the user change geometry and material properties. The Simscape models of a simple soft link and tendon-driven revolute-soft-revolute (RSR) are validated using image processing.
{"title":"Motion Analysis of Planar, Closed-Chain, and Tendon-Driven Soft Robots in MATLAB Simscape","authors":"Anthony Delaughter, Connor Talley, Parker Woods, Richard Woods, M. Allah, Nathan Jones, Andrea Contreras Esquen, A. Tekes","doi":"10.1109/ORSS58323.2023.10161911","DOIUrl":"https://doi.org/10.1109/ORSS58323.2023.10161911","url":null,"abstract":"Soft robots have received great attention from researchers due to their inherent properties of imitating the bionic motion we see in nature. Robots incorporating soft members deform when subjected to loading with enhanced motion capabilities and possess a simple manufacturing process compared to their rigid counterparts. However, despite their superiorities, it remains a challenging task to obtain the dynamic model of complex soft robots. In this study, we designed two closed-chain soft robots and developed the physical models as a single piece using a dual extruder 3D printer and created MATLAB Simscape models with a mask to enable the user interface so the user change geometry and material properties. The Simscape models of a simple soft link and tendon-driven revolute-soft-revolute (RSR) are validated using image processing.","PeriodicalId":263086,"journal":{"name":"2023 IEEE International Opportunity Research Scholars Symposium (ORSS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123941657","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 : 2023-04-23DOI: 10.1109/ORSS58323.2023.10161792
Maxime Beaulieu, Adrian Candocia, Henry Taboh, Liangliang Chen, Ying Zhang
The continual demand for energy-efficient devices has a far-reaching impact, and the HVAC system is no exception. To account for this energy demand, the HVAC system could potentially focus exclusively on energy efficiency while sacrificing user satisfaction. However, the thermal comfort of occupants is also a vital factor when designing HVAC control systems. In this paper, we present a personalized thermal preference model using meta-learning and feature importance analysis (FIA) in order to predict the thermal sensation of an individual with a minimum number of individual surveys and sensor measurements. The use of meta-learning reduces the number of required personalized thermal sensation votes. The FIA algorithm attempts to identify the most important features of the thermal preference model under the framework of meta-learning. With the ASHRAE database II, we find that the use of the FIA algorithm with meta-learning provides a clear distinction between the most important features in the model as compared to when only supervised learning is used.
{"title":"Feature Importance Analysis For A Personalized Thermal Comfort Model Using Meta-learning","authors":"Maxime Beaulieu, Adrian Candocia, Henry Taboh, Liangliang Chen, Ying Zhang","doi":"10.1109/ORSS58323.2023.10161792","DOIUrl":"https://doi.org/10.1109/ORSS58323.2023.10161792","url":null,"abstract":"The continual demand for energy-efficient devices has a far-reaching impact, and the HVAC system is no exception. To account for this energy demand, the HVAC system could potentially focus exclusively on energy efficiency while sacrificing user satisfaction. However, the thermal comfort of occupants is also a vital factor when designing HVAC control systems. In this paper, we present a personalized thermal preference model using meta-learning and feature importance analysis (FIA) in order to predict the thermal sensation of an individual with a minimum number of individual surveys and sensor measurements. The use of meta-learning reduces the number of required personalized thermal sensation votes. The FIA algorithm attempts to identify the most important features of the thermal preference model under the framework of meta-learning. With the ASHRAE database II, we find that the use of the FIA algorithm with meta-learning provides a clear distinction between the most important features in the model as compared to when only supervised learning is used.","PeriodicalId":263086,"journal":{"name":"2023 IEEE International Opportunity Research Scholars Symposium (ORSS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114805125","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 : 2023-04-23DOI: 10.1109/ORSS58323.2023.10161904
Riley Mark, S. Mark, Jaelyn Friberg, Cadré Francis, Ben Pearson, David Estrada, J. Forbey, Joshua Griffin
Sagebrush and the habitat they provide face increasing environmental pressure, and the ability to monitor the volatile organic compounds (VOCs) they emit may help in conservation efforts. This paper describes a wireless sensing system designed to monitor these VOCs. A sensor was manufactured from laser-induced graphene that changes resistance in the presence of VOCs. This sensor is integrated into a Wheatstone bridge and the resulting voltage amplified, sampled, and transmitted wirelessly using Bluetooth Low-Energy. The design is based on a TinyPICO development board and included other additional sensors. Further research and development may lead to construction of a network of sensors capable of collecting spatial-temporal data on VOC communication.
{"title":"Wireless Sensing of Plant Chemical Communication Using Laser-Induced Graphene","authors":"Riley Mark, S. Mark, Jaelyn Friberg, Cadré Francis, Ben Pearson, David Estrada, J. Forbey, Joshua Griffin","doi":"10.1109/ORSS58323.2023.10161904","DOIUrl":"https://doi.org/10.1109/ORSS58323.2023.10161904","url":null,"abstract":"Sagebrush and the habitat they provide face increasing environmental pressure, and the ability to monitor the volatile organic compounds (VOCs) they emit may help in conservation efforts. This paper describes a wireless sensing system designed to monitor these VOCs. A sensor was manufactured from laser-induced graphene that changes resistance in the presence of VOCs. This sensor is integrated into a Wheatstone bridge and the resulting voltage amplified, sampled, and transmitted wirelessly using Bluetooth Low-Energy. The design is based on a TinyPICO development board and included other additional sensors. Further research and development may lead to construction of a network of sensors capable of collecting spatial-temporal data on VOC communication.","PeriodicalId":263086,"journal":{"name":"2023 IEEE International Opportunity Research Scholars Symposium (ORSS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134367866","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 : 2023-04-23DOI: 10.1109/ORSS58323.2023.10161963
A. Schroeder, Stephen Noh, P. Park, Jada Brunson, A. Bhattacharya, G. Durgin
The earth’s atmosphere blocks most of the sun’s power from reaching the surface, decreasing the energy density for solar power; therefore, a clear alternative is to conduct further research into space solar power (SSP) using satellites and antennas. Larger satellite transmission apertures are vulnerable to suffering catastrophic damage through environmental effects. Thus, a possible solution for SSP is using disaggregated apertures for transmission (DAGATs) which involves having many small satellites in space coordinate together in a volumetric array. These structures would use antennas to transmit the power as a single signal to a surface station, which would provide increased stability and improved cost-effectiveness. This research begins the process of simulating these types of arrays in order to determine their effect on transmission efficiency. A simplified model of a DAGAT system is created, and changes in its elements’ positioning are simulated. These changes are the planar spacings, the relative elevations, and the total removal of elements. Although the simulations are highly simplified compared to what a real-world SSP array would look like, they provide patterns showing a decreased directivity with further spacing, but little change in directivity with changes in elevation or with element removal.
{"title":"Model Simulation of a Space Solar Power System using Disaggregated Apertures of Transmission (DAGATs)","authors":"A. Schroeder, Stephen Noh, P. Park, Jada Brunson, A. Bhattacharya, G. Durgin","doi":"10.1109/ORSS58323.2023.10161963","DOIUrl":"https://doi.org/10.1109/ORSS58323.2023.10161963","url":null,"abstract":"The earth’s atmosphere blocks most of the sun’s power from reaching the surface, decreasing the energy density for solar power; therefore, a clear alternative is to conduct further research into space solar power (SSP) using satellites and antennas. Larger satellite transmission apertures are vulnerable to suffering catastrophic damage through environmental effects. Thus, a possible solution for SSP is using disaggregated apertures for transmission (DAGATs) which involves having many small satellites in space coordinate together in a volumetric array. These structures would use antennas to transmit the power as a single signal to a surface station, which would provide increased stability and improved cost-effectiveness. This research begins the process of simulating these types of arrays in order to determine their effect on transmission efficiency. A simplified model of a DAGAT system is created, and changes in its elements’ positioning are simulated. These changes are the planar spacings, the relative elevations, and the total removal of elements. Although the simulations are highly simplified compared to what a real-world SSP array would look like, they provide patterns showing a decreased directivity with further spacing, but little change in directivity with changes in elevation or with element removal.","PeriodicalId":263086,"journal":{"name":"2023 IEEE International Opportunity Research Scholars Symposium (ORSS)","volume":"180 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133925601","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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