The popularity of the educational robot in K-12 classroom has dramatically increased in the past decades to engage students studying not only Science, Technology, Engineering and Mathematics (STEM), but also 21st-century skills. Most educational robots tend to be as simple as possible such that the lower grades can benefit from the robotics technologies safely. However, such design consideration makes most educational robots with none or minimal sensing capabilities. However, it is very important for senior students to learn more advanced robotics concepts and applications. This paper presents a concept of extending educational robots’ sensing capabilities through quipping an external microcontroller. The paper also demonstrates how the framework can be easily used in sensor-based applications through a line-following example.
{"title":"Extending Educational Robot Sensing Capabilities Through Equipping an External Microcontroller","authors":"Binsen Qian, Harry H. Cheng","doi":"10.1115/detc2019-98470","DOIUrl":"https://doi.org/10.1115/detc2019-98470","url":null,"abstract":"The popularity of the educational robot in K-12 classroom has dramatically increased in the past decades to engage students studying not only Science, Technology, Engineering and Mathematics (STEM), but also 21st-century skills. Most educational robots tend to be as simple as possible such that the lower grades can benefit from the robotics technologies safely. However, such design consideration makes most educational robots with none or minimal sensing capabilities. However, it is very important for senior students to learn more advanced robotics concepts and applications. This paper presents a concept of extending educational robots’ sensing capabilities through quipping an external microcontroller. The paper also demonstrates how the framework can be easily used in sensor-based applications through a line-following example.","PeriodicalId":166402,"journal":{"name":"Volume 9: 15th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117177045","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}
Yanan Wang, Haoyu Niu, Tiebiao Zhao, X. Liao, Lei Dong, Y. Chen
This paper has proposed a contactless voltage classification method for Lithium-ion batteries (LIBs). With a three-dimensional radio-frequency based sensor called Walabot, voltage data of LIBs can be collected in a contactless way. Then three machine learning algorithm, that is, principal component analysis (PCA), linear discriminant analysis (LDA), and stochastic gradient descent (SGD) classifiers, have been employed for data processing. Experiments and comparison have been conducted to verify the proposed method. The colormaps of results and prediction accuracy show that LDA may be most suitable for LIBs voltage classification.
{"title":"Contactless Li-Ion Battery Voltage Detection by Using Walabot and Machine Learning","authors":"Yanan Wang, Haoyu Niu, Tiebiao Zhao, X. Liao, Lei Dong, Y. Chen","doi":"10.1115/detc2019-97668","DOIUrl":"https://doi.org/10.1115/detc2019-97668","url":null,"abstract":"\u0000 This paper has proposed a contactless voltage classification method for Lithium-ion batteries (LIBs). With a three-dimensional radio-frequency based sensor called Walabot, voltage data of LIBs can be collected in a contactless way. Then three machine learning algorithm, that is, principal component analysis (PCA), linear discriminant analysis (LDA), and stochastic gradient descent (SGD) classifiers, have been employed for data processing. Experiments and comparison have been conducted to verify the proposed method. The colormaps of results and prediction accuracy show that LDA may be most suitable for LIBs voltage classification.","PeriodicalId":166402,"journal":{"name":"Volume 9: 15th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128266256","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}
A. Galdelli, A. Mancini, A. Tassetti, C. F. Vega, E. Armelloni, G. Scarcella, G. Fabi, P. Zingaretti
Descriptive and spatially-explicit information on fisheries plays a key role for an efficient integrated management of the maritime activities and the sustainable use of marine resources. However, this information is today still hard to obtain and, consequently, is a major issue for implementing Marine Spatial Planning (MSP). Since 2002, the Automatic Identification System (AIS) has been undergoing a major development allowing now for a real time geo-tracking and identification of equipped vessels of more than 15m in length overall (LOA) and, if properly processed, for the production of adequate information for MSP. Such monitoring systems or other low-cost and low-burden solutions are still missing for small vessels (LOA < 12m), whose catches and fishing effort remain spatially unassessed and, hence, unregulated. In this context, we propose an architecture to process vessel tracking data, understand the behaviour of trawling fleets and map related fishing activities. It could be used to process not only AIS data but also positioning data from other low cost systems as IoT sensors that share their position over LoRa and 2G/3G/4G links. Analysis gives back important and verified data (overall accuracy of 92% for trawlers) and opens up development perspectives for monitoring small scale fisheries, helping hence to fill fishery data gaps and obtain a clearer picture of the fishing grounds as a whole.
{"title":"A Cloud Computing Architecture to Map Trawling Activities Using Positioning Data","authors":"A. Galdelli, A. Mancini, A. Tassetti, C. F. Vega, E. Armelloni, G. Scarcella, G. Fabi, P. Zingaretti","doi":"10.1115/detc2019-97779","DOIUrl":"https://doi.org/10.1115/detc2019-97779","url":null,"abstract":"\u0000 Descriptive and spatially-explicit information on fisheries plays a key role for an efficient integrated management of the maritime activities and the sustainable use of marine resources. However, this information is today still hard to obtain and, consequently, is a major issue for implementing Marine Spatial Planning (MSP). Since 2002, the Automatic Identification System (AIS) has been undergoing a major development allowing now for a real time geo-tracking and identification of equipped vessels of more than 15m in length overall (LOA) and, if properly processed, for the production of adequate information for MSP. Such monitoring systems or other low-cost and low-burden solutions are still missing for small vessels (LOA < 12m), whose catches and fishing effort remain spatially unassessed and, hence, unregulated. In this context, we propose an architecture to process vessel tracking data, understand the behaviour of trawling fleets and map related fishing activities. It could be used to process not only AIS data but also positioning data from other low cost systems as IoT sensors that share their position over LoRa and 2G/3G/4G links. Analysis gives back important and verified data (overall accuracy of 92% for trawlers) and opens up development perspectives for monitoring small scale fisheries, helping hence to fill fishery data gaps and obtain a clearer picture of the fishing grounds as a whole.","PeriodicalId":166402,"journal":{"name":"Volume 9: 15th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121574011","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}
This paper presents a new parameters optimization approach for fractional order PID controllers, which uses a satisfactory optimization model. To fulfill different design performance specfications and constrains of systems, the application of multi-criterion satisfactory optimization to fractional control systems is considered. At the same time, the performance of fractional control systems controlled by fractional order controller and integer order controller is discussed. The simulation illustrates the effectiveness of the proposed method and the superiority of the fractional order controller in both time domain and frequency domain.
{"title":"Satisfactory Optimization Design for Fractional Order PID Controller","authors":"Tianyu Liu, Yuanjun Jia, Wei-dong Jin, Yong Wang","doi":"10.1115/detc2019-98342","DOIUrl":"https://doi.org/10.1115/detc2019-98342","url":null,"abstract":"\u0000 This paper presents a new parameters optimization approach for fractional order PID controllers, which uses a satisfactory optimization model. To fulfill different design performance specfications and constrains of systems, the application of multi-criterion satisfactory optimization to fractional control systems is considered. At the same time, the performance of fractional control systems controlled by fractional order controller and integer order controller is discussed. The simulation illustrates the effectiveness of the proposed method and the superiority of the fractional order controller in both time domain and frequency domain.","PeriodicalId":166402,"journal":{"name":"Volume 9: 15th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122013330","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}
Benjamin C. Fortune, Lachlan R. McKenzie, Logan T. Chatfield, C. Pretty
This paper presents a method to estimate the individual component values of a bipolar electrode-skin interface, with future intent of applying compensatory electrode-skin impedance balancing prior recording bio-signals with electromyography. The electrode-skin interface was stimulated by a step input and the output behaviour was characterised using a single exponential model per electrode. The method was applied to simulated circuitry, passive component circuitry and a human subject. The accuracy of the method was determined using the known values that comprised the simulated and passive component circuitry. Nine of ten simulated data sets resulted in accurate estimations, with a maximum error of 0.763% and a mean error of 0.076% per component. The method also produced successful estimates for nine of the ten physical circuitry data sets, with a maximum error of 10.2% and a mean error of 3.49% per component. The method was unsuccessful in estimating the individual electrode-skin impedance components for the human subject: this was due to the system failing to reach steady state during the stimulation period. The authors suspect a DC offset caused by the half-cell potentials associated with the electrode-skin interface were the cause of the unexpected behaviour.
{"title":"Electrode-Skin Impedance Component Estimation in the Time-Domain","authors":"Benjamin C. Fortune, Lachlan R. McKenzie, Logan T. Chatfield, C. Pretty","doi":"10.1115/detc2019-98298","DOIUrl":"https://doi.org/10.1115/detc2019-98298","url":null,"abstract":"\u0000 This paper presents a method to estimate the individual component values of a bipolar electrode-skin interface, with future intent of applying compensatory electrode-skin impedance balancing prior recording bio-signals with electromyography. The electrode-skin interface was stimulated by a step input and the output behaviour was characterised using a single exponential model per electrode. The method was applied to simulated circuitry, passive component circuitry and a human subject. The accuracy of the method was determined using the known values that comprised the simulated and passive component circuitry. Nine of ten simulated data sets resulted in accurate estimations, with a maximum error of 0.763% and a mean error of 0.076% per component. The method also produced successful estimates for nine of the ten physical circuitry data sets, with a maximum error of 10.2% and a mean error of 3.49% per component. The method was unsuccessful in estimating the individual electrode-skin impedance components for the human subject: this was due to the system failing to reach steady state during the stimulation period. The authors suspect a DC offset caused by the half-cell potentials associated with the electrode-skin interface were the cause of the unexpected behaviour.","PeriodicalId":166402,"journal":{"name":"Volume 9: 15th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115060659","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}
Parameter identification as known as a significant issue is investigated in this paper. The research focus on online identifying unknown parameters of uncertain fractional-order chaotic and hyperchaotic systems, which shows great potential in recent applications. Up to now, most of the existing online identification methods only focus on integer-order systems, thus, it’s necessary to expand these fundamental results to uncertain fractional-order nonlinear dynamic systems and adopt an effective optimizer to deal with the model uncertainties. Motivated by this consideration, this research introduces an efficient optimizer to offline and online parameter identification of the fractional-order chaotic and hyperchaotic systems through non-Lyapunov way. For problem formulation, a multi-dimensional optimization problem is converted into from the problem of parameter identification, where both systematic parameters and fractional derivative orders are considered as independent unknown parameters to be estimated. The experimental results illustrate that SHADE is significantly superior to the other compared approaches. In this case, online identification is conducted via SHADE, the simulation results further indicate that success-history based adaptive differential evolution (SHADE) algorithm is capable of detecting and determining the variations of parameters in uncertain fractional-order chaotic and hyperchaotic systems, and also is supposed to be a successful and potentially promising method for handling the online identification problems with high efficiency and effectiveness.
{"title":"Online Identification of Uncertain Fractional-Order Nonlinear Systems Using a Reinforced Differential Evolution Optimizer","authors":"Jiamin Wei, Yongguang Yu, Y. Chen","doi":"10.1115/detc2019-98254","DOIUrl":"https://doi.org/10.1115/detc2019-98254","url":null,"abstract":"\u0000 Parameter identification as known as a significant issue is investigated in this paper. The research focus on online identifying unknown parameters of uncertain fractional-order chaotic and hyperchaotic systems, which shows great potential in recent applications. Up to now, most of the existing online identification methods only focus on integer-order systems, thus, it’s necessary to expand these fundamental results to uncertain fractional-order nonlinear dynamic systems and adopt an effective optimizer to deal with the model uncertainties. Motivated by this consideration, this research introduces an efficient optimizer to offline and online parameter identification of the fractional-order chaotic and hyperchaotic systems through non-Lyapunov way. For problem formulation, a multi-dimensional optimization problem is converted into from the problem of parameter identification, where both systematic parameters and fractional derivative orders are considered as independent unknown parameters to be estimated. The experimental results illustrate that SHADE is significantly superior to the other compared approaches. In this case, online identification is conducted via SHADE, the simulation results further indicate that success-history based adaptive differential evolution (SHADE) algorithm is capable of detecting and determining the variations of parameters in uncertain fractional-order chaotic and hyperchaotic systems, and also is supposed to be a successful and potentially promising method for handling the online identification problems with high efficiency and effectiveness.","PeriodicalId":166402,"journal":{"name":"Volume 9: 15th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129855491","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}
This paper has proposed a multi-resolution energy strategy for battery management system (BMS) of unmanned ground vehicles (UGVs) in farming. On the basis of “Smart Farm” definition, battery energy consumption and management have been taken into consideration during the working process and system control. A battery energy controller has been proposed for the low-cost ($1000) UGVs designed by our lab for farming usage. Moreover, three levels of energy control loops have been developed, that is, motor control, path planning, and mission arrangement. In this way, an energy-efficient UGV can prolong its working time and also decrease the cost. The three closed-loop energy strategy of BMS provides not only separate working methods for the three levels, but also a weights way to adjust the influence of three levels on the performance of the UGV in different tasks.
{"title":"Multi-Resolution Energy Strategy for Battery Management System of Unmanned Ground Vehicles in Agriculture","authors":"Yanan Wang, Junwei Tian, Haoyu Niu, Peng Wang, X. Liao, Y. Chen","doi":"10.1115/detc2019-97666","DOIUrl":"https://doi.org/10.1115/detc2019-97666","url":null,"abstract":"\u0000 This paper has proposed a multi-resolution energy strategy for battery management system (BMS) of unmanned ground vehicles (UGVs) in farming. On the basis of “Smart Farm” definition, battery energy consumption and management have been taken into consideration during the working process and system control. A battery energy controller has been proposed for the low-cost ($1000) UGVs designed by our lab for farming usage. Moreover, three levels of energy control loops have been developed, that is, motor control, path planning, and mission arrangement. In this way, an energy-efficient UGV can prolong its working time and also decrease the cost. The three closed-loop energy strategy of BMS provides not only separate working methods for the three levels, but also a weights way to adjust the influence of three levels on the performance of the UGV in different tasks.","PeriodicalId":166402,"journal":{"name":"Volume 9: 15th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129951151","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}
Lucia Migliorelli, A. Cenci, Michele Bernardini, L. Romeo, S. Moccia, P. Zingaretti
Intensive medical attention of preterm babies is crucial to avoid short-term and long-term complications. Within neonatal intensive care units (NICUs), cribs are equipped with electronic devices aimed at: monitoring, administering drugs and supporting clinician in making diagnosis and offer treatments. To manage this huge data flux, a cloud-based healthcare infrastructure that allows data collection from different devices (i.e., patient monitors, bilirubinometers, and transcutaneous bilirubinometers), storage, processing and transferring will be presented. Communication protocols were designed to enable the communication and data transfer between the three different devices and a unique database and an easy to use graphical user interface (GUI) was implemented. The infrastructure is currently used in the “Women’s and Children’s Hospital G.Salesi” in Ancona (Italy), supporting clinicians and health opertators in their daily activities.
{"title":"A Cloud-Based Healthcare Infrastructure for Neonatal Intensive-Care Units","authors":"Lucia Migliorelli, A. Cenci, Michele Bernardini, L. Romeo, S. Moccia, P. Zingaretti","doi":"10.1115/detc2019-97526","DOIUrl":"https://doi.org/10.1115/detc2019-97526","url":null,"abstract":"\u0000 Intensive medical attention of preterm babies is crucial to avoid short-term and long-term complications. Within neonatal intensive care units (NICUs), cribs are equipped with electronic devices aimed at: monitoring, administering drugs and supporting clinician in making diagnosis and offer treatments. To manage this huge data flux, a cloud-based healthcare infrastructure that allows data collection from different devices (i.e., patient monitors, bilirubinometers, and transcutaneous bilirubinometers), storage, processing and transferring will be presented. Communication protocols were designed to enable the communication and data transfer between the three different devices and a unique database and an easy to use graphical user interface (GUI) was implemented. The infrastructure is currently used in the “Women’s and Children’s Hospital G.Salesi” in Ancona (Italy), supporting clinicians and health opertators in their daily activities.","PeriodicalId":166402,"journal":{"name":"Volume 9: 15th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130471046","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}
Xin Wang, Amir Khameneian, P. Dice, Bo Chen, M. Shahbakhti, J. Naber, Chad Archer, Qiuping Qu, C. Glugla, G. Huberts
Combustion phasing, which can be defined as the crank angle of fifty percent mass fraction burned (CA50), is one of the most important parameters affecting engine efficiency, torque output, and emissions. In homogeneous spark-ignition (SI) engines, ignition timing control algorithms are typically map-based with several multipliers, which requires significant calibration efforts. This work presents a framework of model-based ignition timing prediction using a computationally efficient control-oriented combustion model for the purpose of real-time combustion phasing control. Burn duration from ignition timing to CA50 (ΔθIGN-CA50) on an individual cylinder cycle-by-cycle basis is predicted by the combustion model developed in this work. The model is based on the physics of turbulent flame propagation in SI engines and contains the most important control parameters, including ignition timing, variable valve timing, air-fuel ratio, and engine load mostly affected by combination of the throttle opening position and the previous three parameters. With 64 test points used for model calibration, the developed combustion model is shown to cover wide engine operating conditions, thereby significantly reducing the calibration effort. A Root Mean Square Error (RMSE) of 1.7 Crank Angle Degrees (CAD) and correlation coefficient (R2) of 0.95 illustrates the accuracy of the calibrated model. On-road vehicle testing data is used to evaluate the performance of the developed model-based burn duration and ignition timing algorithm. When comparing the model predicted burn duration and ignition timing with experimental data, 83% of the prediction error falls within ±3 CAD.
{"title":"Model-Based Combustion Duration and Ignition Timing Prediction for Combustion Phasing Control of a Spark-Ignition Engine Using In-Cylinder Pressure Sensors","authors":"Xin Wang, Amir Khameneian, P. Dice, Bo Chen, M. Shahbakhti, J. Naber, Chad Archer, Qiuping Qu, C. Glugla, G. Huberts","doi":"10.1115/detc2019-97703","DOIUrl":"https://doi.org/10.1115/detc2019-97703","url":null,"abstract":"\u0000 Combustion phasing, which can be defined as the crank angle of fifty percent mass fraction burned (CA50), is one of the most important parameters affecting engine efficiency, torque output, and emissions. In homogeneous spark-ignition (SI) engines, ignition timing control algorithms are typically map-based with several multipliers, which requires significant calibration efforts. This work presents a framework of model-based ignition timing prediction using a computationally efficient control-oriented combustion model for the purpose of real-time combustion phasing control. Burn duration from ignition timing to CA50 (ΔθIGN-CA50) on an individual cylinder cycle-by-cycle basis is predicted by the combustion model developed in this work. The model is based on the physics of turbulent flame propagation in SI engines and contains the most important control parameters, including ignition timing, variable valve timing, air-fuel ratio, and engine load mostly affected by combination of the throttle opening position and the previous three parameters. With 64 test points used for model calibration, the developed combustion model is shown to cover wide engine operating conditions, thereby significantly reducing the calibration effort. A Root Mean Square Error (RMSE) of 1.7 Crank Angle Degrees (CAD) and correlation coefficient (R2) of 0.95 illustrates the accuracy of the calibrated model. On-road vehicle testing data is used to evaluate the performance of the developed model-based burn duration and ignition timing algorithm. When comparing the model predicted burn duration and ignition timing with experimental data, 83% of the prediction error falls within ±3 CAD.","PeriodicalId":166402,"journal":{"name":"Volume 9: 15th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121362488","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}
Remote sensing and aerial imaging efforts at University of Maryland Eastern Shore (UMES) have been ongoing for over a decade. It was initiated with the UMESAIR (Undergraduate Multidisciplinary Earth Science Airborne Instrumentation Research) project in early part of the century as an exploratory experiential learning project as means to foster collaboration and provide exposure to science and engineering students to scientists and engineers at NASA’s Wallops Flight Facility which is within 50 miles of campus. Subsequently, with significant support from USDA’s National Institute of Food and Agriculture (NIFA) the remote sensing endeavors have been integrated with the smart farming and precision agriculture efforts closely aligned with the land grant mission of UMES and the regional emphasis in the Delmarva Peninsula. Maryland Space Grant Consortium (MDSGC) have also supported a synergistic project titled Aerial Imaging and Remote Sensing for Precision Agriculture and Environmental Stewardship (AIRSPACES) on an annual basis which has allowed continued involvement of multidisciplinary undergraduate students from the STEM fields to remain involved with the efforts.
马里兰大学东岸分校(University of Maryland Eastern Shore)的遥感和航空成像工作已经进行了十多年。它是在本世纪初与UMESAIR(本科多学科地球科学机载仪器研究)项目一起启动的，作为一个探索性的体验式学习项目，作为促进合作的手段，并为科学和工程专业的学生提供接触NASA沃洛普斯飞行设施的科学家和工程师的机会，该设施距离校园不到50英里。随后，在美国农业部国家粮食和农业研究所(NIFA)的大力支持下，遥感工作已与智能农业和精准农业工作相结合，与美国农业科学研究所的土地赠款任务和德尔马瓦半岛的区域重点密切相关。马里兰空间资助联盟(MDSGC)还每年支持一项名为“精确农业和环境管理航空成像和遥感”(AIRSPACES)的协同项目，该项目允许来自STEM领域的多学科本科生继续参与这项工作。
{"title":"Overview of Remote Sensing Efforts at University of Maryland Eastern Shore","authors":"A. Nagchaudhuri, Travis Ford, C. Hartman","doi":"10.1115/detc2019-98457","DOIUrl":"https://doi.org/10.1115/detc2019-98457","url":null,"abstract":"\u0000 Remote sensing and aerial imaging efforts at University of Maryland Eastern Shore (UMES) have been ongoing for over a decade. It was initiated with the UMESAIR (Undergraduate Multidisciplinary Earth Science Airborne Instrumentation Research) project in early part of the century as an exploratory experiential learning project as means to foster collaboration and provide exposure to science and engineering students to scientists and engineers at NASA’s Wallops Flight Facility which is within 50 miles of campus. Subsequently, with significant support from USDA’s National Institute of Food and Agriculture (NIFA) the remote sensing endeavors have been integrated with the smart farming and precision agriculture efforts closely aligned with the land grant mission of UMES and the regional emphasis in the Delmarva Peninsula. Maryland Space Grant Consortium (MDSGC) have also supported a synergistic project titled Aerial Imaging and Remote Sensing for Precision Agriculture and Environmental Stewardship (AIRSPACES) on an annual basis which has allowed continued involvement of multidisciplinary undergraduate students from the STEM fields to remain involved with the efforts.","PeriodicalId":166402,"journal":{"name":"Volume 9: 15th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116722967","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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