Ana C. Castillo, Jesus A. Marroquin-Escobedo, Santiago Gonzalez-Irigoyen, Marlene Martinez-Santoyo, R. Villalpando-Hernandez, C. Vargas-Rosales
{"title":"Recreating Lunar Environments by Fusion of Multimodal Data Using Machine Learning Models","authors":"Ana C. Castillo, Jesus A. Marroquin-Escobedo, Santiago Gonzalez-Irigoyen, Marlene Martinez-Santoyo, R. Villalpando-Hernandez, C. Vargas-Rosales","doi":"10.3390/ecsa-9-13326","DOIUrl":"https://doi.org/10.3390/ecsa-9-13326","url":null,"abstract":"","PeriodicalId":427594,"journal":{"name":"The 9th International Electronic Conference on Sensors and Applications","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131803444","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}
: Dealing with distributed and parallel computing in strong heterogeneous environments, e.g., distributed sensor networks, is still a challenge at the algorithmic, communication, and application levels. Heterogeneity is related to different computer and network (communication) ar-chitectures. Virtualization can hide and unify heterogeneity. Besides inter-process communication and synchronization, the unified access and monitoring of computing nodes (devices, computers, processors) is required to handle distributed and parallel systems in a comfortable and easy-to-access manner. Especially in education, the access and control of a large set of computing nodes is difficult, which lowers the learning curve significantly. In this work, a unified distributed and parallel framework and Web tools are introduced using Virtual Machines (VM) and Web browsers to control them. The framework enables the control, monitoring, and study of distributed-parallel systems, especially addressing sensor networks and IoT networks. Nodes can be arranged in a graphical drawing world or script-based. Virtual network nodes are assigned to VM instances that can be created inside the browser using Web worker processes or can be attached to externally running VM instances via a Web control API. New VM instances or processes can be started and controlled instantly. The graphical UI provides access to the internal and external nodes, programming editors, and monitor shells. The VMs can be generic, but in this work there is a focus on JavaScript and Lua. The framework provides augmented virtuality, i.e., a coupling of physical and virtual worlds.
{"title":"VNetOS: Virtualised Distributed and Parallel Sensor Network Operating Environment for the IoT and SHM","authors":"S. Bosse","doi":"10.3390/ecsa-9-13212","DOIUrl":"https://doi.org/10.3390/ecsa-9-13212","url":null,"abstract":": Dealing with distributed and parallel computing in strong heterogeneous environments, e.g., distributed sensor networks, is still a challenge at the algorithmic, communication, and application levels. Heterogeneity is related to different computer and network (communication) ar-chitectures. Virtualization can hide and unify heterogeneity. Besides inter-process communication and synchronization, the unified access and monitoring of computing nodes (devices, computers, processors) is required to handle distributed and parallel systems in a comfortable and easy-to-access manner. Especially in education, the access and control of a large set of computing nodes is difficult, which lowers the learning curve significantly. In this work, a unified distributed and parallel framework and Web tools are introduced using Virtual Machines (VM) and Web browsers to control them. The framework enables the control, monitoring, and study of distributed-parallel systems, especially addressing sensor networks and IoT networks. Nodes can be arranged in a graphical drawing world or script-based. Virtual network nodes are assigned to VM instances that can be created inside the browser using Web worker processes or can be attached to externally running VM instances via a Web control API. New VM instances or processes can be started and controlled instantly. The graphical UI provides access to the internal and external nodes, programming editors, and monitor shells. The VMs can be generic, but in this work there is a focus on JavaScript and Lua. The framework provides augmented virtuality, i.e., a coupling of physical and virtual worlds.","PeriodicalId":427594,"journal":{"name":"The 9th International Electronic Conference on Sensors and Applications","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129242748","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}
J. Burlachenko, I. Kruglenko, S. Capone, M. Epifani, P. Siciliano, B. Snopok
{"title":"Light-Tunable Hybrid Organic–Inorganic Nanostructured Layers for Virtual Sensor Arrays","authors":"J. Burlachenko, I. Kruglenko, S. Capone, M. Epifani, P. Siciliano, B. Snopok","doi":"10.3390/ecsa-9-13347","DOIUrl":"https://doi.org/10.3390/ecsa-9-13347","url":null,"abstract":"","PeriodicalId":427594,"journal":{"name":"The 9th International Electronic Conference on Sensors and Applications","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122990539","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}
Jiayue Shen, Korkut Bekiroglu, Ali Tekeoglu, I. Boz, Weiru Chen, Minghao Geng
{"title":"Numerical Study of a PVDF-Based Strain Sensor for Damage Detection of an Asphalt Concrete Pavement Subject to Dynamic Loads","authors":"Jiayue Shen, Korkut Bekiroglu, Ali Tekeoglu, I. Boz, Weiru Chen, Minghao Geng","doi":"10.3390/ecsa-9-13318","DOIUrl":"https://doi.org/10.3390/ecsa-9-13318","url":null,"abstract":"","PeriodicalId":427594,"journal":{"name":"The 9th International Electronic Conference on Sensors and Applications","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121520697","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}
{"title":"Quinoline-Based Hydrazone Derivative as a Biocide Chemosensor: Synthesis and Sensing Studies","authors":"R. P. Sousa, S. Costa, R. B. Figueira, M. Raposo","doi":"10.3390/ecsa-9-13199","DOIUrl":"https://doi.org/10.3390/ecsa-9-13199","url":null,"abstract":"","PeriodicalId":427594,"journal":{"name":"The 9th International Electronic Conference on Sensors and Applications","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114749574","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}
: The polarimetric calibration (PolCal) is an essential process to ensure the minimization of distortions from airborne and spaceborne SAR data for scattering-based characterization of the targeted objects. The present study investigates the polarimetric distortions in the L-and S-band airborne dual-frequency SAR data. The L- and S-band airborne SAR (LS-ASAR) is a precursor mission of the spaceborne dual-frequency L- and S-band NASA ISRO Synthetic Aperture Radar (NISAR). The present work utilizes the LS-ASAR data acquired over the Rosamond Corner Reflector Array (RCRA). The polarimetric signature analysis of co-pol and cross-pol channels shows that perfect behavior is shown by the co-pol signature but the distortions could be easily identified in the cross-pol signatures.
{"title":"Polarimetric Distortion Analysis of L- and S-Band Airborne SAR (LS-ASAR): A Precursor Study of the Spaceborne Dual-Frequency L- and S-Band NASA ISRO Synthetic Aperture Radar (NISAR) Mission","authors":"S. V. N. Santhosh Kumar","doi":"10.3390/ecsa-9-13186","DOIUrl":"https://doi.org/10.3390/ecsa-9-13186","url":null,"abstract":": The polarimetric calibration (PolCal) is an essential process to ensure the minimization of distortions from airborne and spaceborne SAR data for scattering-based characterization of the targeted objects. The present study investigates the polarimetric distortions in the L-and S-band airborne dual-frequency SAR data. The L- and S-band airborne SAR (LS-ASAR) is a precursor mission of the spaceborne dual-frequency L- and S-band NASA ISRO Synthetic Aperture Radar (NISAR). The present work utilizes the LS-ASAR data acquired over the Rosamond Corner Reflector Array (RCRA). The polarimetric signature analysis of co-pol and cross-pol channels shows that perfect behavior is shown by the co-pol signature but the distortions could be easily identified in the cross-pol signatures.","PeriodicalId":427594,"journal":{"name":"The 9th International Electronic Conference on Sensors and Applications","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114728538","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}
Juan Misael Gongora-Torres, C. Vargas-Rosales, R. Villalpando-Hernandez, Julietth Fernanda Contreras-Venegas, Christian E. Duran-Bonilla
: Celestial bodies of our solar system remain as a major unexplored and unexploited reserve of natural resources available to humans. Furthermore, those constitute a valuable source of information about the origins and evolution of the solar system and an alternative to establish human settlements in the future. Observation and understanding of the land conditions of those celestial bodies is vital to learn more about those celestial bodies, to generate accurate maps of them, to look for natural resources of interest, and to evaluate the feasibility and help in the preparation of future land missions. A satellite constellation constitutes an important infrastructure element to observe those celestial bodies and to transmit the retrieved information back to Earth. Nonetheless, the operation of sensing satellites in other planets needs understanding of the requirements to perform such observations. In this paper we discuss those sensing requirements from the point of view of orbits and payload requirements for one of our closest neighbors of the solar system (Moon, Mars). To analyze the orbit of the sensing satellite, we discuss the required altitude to facilitate ground observation, the orbit’s conditions (such as radiation levels and orbital perturbations, among others), suitable orbit configurations, required number of satellites, and ways to estimate the required time to perform full observation of the celestial body. To evaluate suitable payloads, we discuss available information in the literature (such as known atmospheric and land conditions) to determine the best observation frequencies and determine the best kind of payload (such as sensors, a camera, or a lower frequency observation payload) to study that celestial body. Finally, we discuss some important considerations such as the requirements of satellite communication link to transmit the retrieved information back to Earth.
{"title":"Satellite Requirements for Observation of Close Proximity Celestial Bodies","authors":"Juan Misael Gongora-Torres, C. Vargas-Rosales, R. Villalpando-Hernandez, Julietth Fernanda Contreras-Venegas, Christian E. Duran-Bonilla","doi":"10.3390/ecsa-9-13329","DOIUrl":"https://doi.org/10.3390/ecsa-9-13329","url":null,"abstract":": Celestial bodies of our solar system remain as a major unexplored and unexploited reserve of natural resources available to humans. Furthermore, those constitute a valuable source of information about the origins and evolution of the solar system and an alternative to establish human settlements in the future. Observation and understanding of the land conditions of those celestial bodies is vital to learn more about those celestial bodies, to generate accurate maps of them, to look for natural resources of interest, and to evaluate the feasibility and help in the preparation of future land missions. A satellite constellation constitutes an important infrastructure element to observe those celestial bodies and to transmit the retrieved information back to Earth. Nonetheless, the operation of sensing satellites in other planets needs understanding of the requirements to perform such observations. In this paper we discuss those sensing requirements from the point of view of orbits and payload requirements for one of our closest neighbors of the solar system (Moon, Mars). To analyze the orbit of the sensing satellite, we discuss the required altitude to facilitate ground observation, the orbit’s conditions (such as radiation levels and orbital perturbations, among others), suitable orbit configurations, required number of satellites, and ways to estimate the required time to perform full observation of the celestial body. To evaluate suitable payloads, we discuss available information in the literature (such as known atmospheric and land conditions) to determine the best observation frequencies and determine the best kind of payload (such as sensors, a camera, or a lower frequency observation payload) to study that celestial body. Finally, we discuss some important considerations such as the requirements of satellite communication link to transmit the retrieved information back to Earth.","PeriodicalId":427594,"journal":{"name":"The 9th International Electronic Conference on Sensors and Applications","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116177526","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}
{"title":"Assessment and Monitoring of Optically Active Water Quality Parameters on Wetland Ecosystems Based on Remote Sensing Approach: A Case Study on Harike and Keshopur Wetland over Punjab Region, India","authors":"Mohit Arora, Ashwini N. Mudaliar, B. Pateriya","doi":"10.3390/ecsa-9-13361","DOIUrl":"https://doi.org/10.3390/ecsa-9-13361","url":null,"abstract":"","PeriodicalId":427594,"journal":{"name":"The 9th International Electronic Conference on Sensors and Applications","volume":"07 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127208351","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}
{"title":"A Wireless Resonant LC Sensor for Glucose Detection","authors":"Hong Li, Haibo Xu, Shiru Lin, Yi Jia","doi":"10.3390/ecsa-9-13365","DOIUrl":"https://doi.org/10.3390/ecsa-9-13365","url":null,"abstract":"","PeriodicalId":427594,"journal":{"name":"The 9th International Electronic Conference on Sensors and Applications","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128021835","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}
: Data-driven formulations are currently developed and can result extremely helpful to deal with the complexity of the multi-physics governing the response of micro-electro-mechanical systems (MEMS) to the external stimuli. Such devices are in fact characterized by a hierarchy of length-and time-scales, which are difficult to fully account for in a purely model-based approach. In this work, we specifically refer to a (single-axis) Lorentz force micro-magnetometer designed for navi-gation purposes. Due to an alternating current flowing in a slender mechanical part (beam) and featuring an ad-hoc set frequency, the micro-system is driven into resonance so that its sensitivity to the magnetic field gets improved. A reduced-order physical model was formerly developed for the aforementioned movable part of the device; this model was then used to feed and speed up a multi-physics and multi-objective topology optimization procedure, aiming to design a robust and performing magnetometer. The stochastic effects, which are responsible for the scattering in the experimental data at the microscale, were not accounted for in such a model-based approach. A recently proposed formulation is here discussed and further extended to allow for such stochastic effects. The proposed multi-scale deep learning approach features: at the material scale, a convolutional neural network adopted to learn the scattering in the mechanical properties of polysilicon, induced by its morphology; at the device scale, two feed-forward neural networks, one adopted to upscale the mechanical properties while the other to learn a microstructure-informed mapping between the geometric imperfections induced by the microfabrication process and the effective response of the movable part of the magnetometer. The data-driven models are linked through the physical model to provide a kind of hybrid solution to the problem. Results relevant to different neural network architectures are here discussed, along with a proposal to frame the approach as a multi-fidelity, uncertainty quantification procedure.
{"title":"Uncertainty Quantification at the Microscale: A Data-Driven Multi-Scale Approach","authors":"J. P. Quesada-Molina, S. Mariani","doi":"10.3390/ecsa-9-13351","DOIUrl":"https://doi.org/10.3390/ecsa-9-13351","url":null,"abstract":": Data-driven formulations are currently developed and can result extremely helpful to deal with the complexity of the multi-physics governing the response of micro-electro-mechanical systems (MEMS) to the external stimuli. Such devices are in fact characterized by a hierarchy of length-and time-scales, which are difficult to fully account for in a purely model-based approach. In this work, we specifically refer to a (single-axis) Lorentz force micro-magnetometer designed for navi-gation purposes. Due to an alternating current flowing in a slender mechanical part (beam) and featuring an ad-hoc set frequency, the micro-system is driven into resonance so that its sensitivity to the magnetic field gets improved. A reduced-order physical model was formerly developed for the aforementioned movable part of the device; this model was then used to feed and speed up a multi-physics and multi-objective topology optimization procedure, aiming to design a robust and performing magnetometer. The stochastic effects, which are responsible for the scattering in the experimental data at the microscale, were not accounted for in such a model-based approach. A recently proposed formulation is here discussed and further extended to allow for such stochastic effects. The proposed multi-scale deep learning approach features: at the material scale, a convolutional neural network adopted to learn the scattering in the mechanical properties of polysilicon, induced by its morphology; at the device scale, two feed-forward neural networks, one adopted to upscale the mechanical properties while the other to learn a microstructure-informed mapping between the geometric imperfections induced by the microfabrication process and the effective response of the movable part of the magnetometer. The data-driven models are linked through the physical model to provide a kind of hybrid solution to the problem. Results relevant to different neural network architectures are here discussed, along with a proposal to frame the approach as a multi-fidelity, uncertainty quantification procedure.","PeriodicalId":427594,"journal":{"name":"The 9th International Electronic Conference on Sensors and Applications","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133434594","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}