Volume 9: 15th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications最新文献

Extending Educational Robot Sensing Capabilities Through Equipping an External Microcontroller 通过配备外部微控制器扩展教育机器人的传感能力

Volume 9: 15th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications Pub Date : 2019-11-25 DOI: 10.1115/detc2019-98470

Binsen Qian, Harry H. Cheng

引用次数: 0

Contactless Li-Ion Battery Voltage Detection by Using Walabot and Machine Learning 基于Walabot和机器学习的非接触式锂离子电池电压检测

Volume 9: 15th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications Pub Date : 2019-11-25 DOI: 10.1115/detc2019-97668

Yanan Wang, Haoyu Niu, Tiebiao Zhao, X. Liao, Lei Dong, Y. Chen

引用次数: 5

A Cloud Computing Architecture to Map Trawling Activities Using Positioning Data 利用定位数据绘制拖网活动地图的云计算架构

Volume 9: 15th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications Pub Date : 2019-11-25 DOI: 10.1115/detc2019-97779

A. Galdelli, A. Mancini, A. Tassetti, C. F. Vega, E. Armelloni, G. Scarcella, G. Fabi, P. Zingaretti

{"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}

引用次数: 7

Satisfactory Optimization Design for Fractional Order PID Controller 分数阶PID控制器的满意优化设计

Volume 9: 15th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications Pub Date : 2019-11-25 DOI: 10.1115/detc2019-98342

Tianyu Liu, Yuanjun Jia, Wei-dong Jin, Yong Wang

引用次数: 0

Electrode-Skin Impedance Component Estimation in the Time-Domain 时域电极-皮肤阻抗分量估计

Volume 9: 15th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications Pub Date : 2019-11-25 DOI: 10.1115/detc2019-98298

Benjamin C. Fortune, Lachlan R. McKenzie, Logan T. Chatfield, C. Pretty

{"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}

引用次数: 0

Online Identification of Uncertain Fractional-Order Nonlinear Systems Using a Reinforced Differential Evolution Optimizer 基于增强差分进化优化器的不确定分数阶非线性系统在线辨识

Volume 9: 15th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications Pub Date : 2019-11-25 DOI: 10.1115/detc2019-98254

Jiamin Wei, Yongguang Yu, Y. Chen

{"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}

引用次数: 0

Multi-Resolution Energy Strategy for Battery Management System of Unmanned Ground Vehicles in Agriculture 农业无人地面车辆电池管理系统的多分辨率能量策略

Volume 9: 15th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications Pub Date : 2019-11-25 DOI: 10.1115/detc2019-97666

Yanan Wang, Junwei Tian, Haoyu Niu, Peng Wang, X. Liao, Y. Chen

引用次数: 1

A Cloud-Based Healthcare Infrastructure for Neonatal Intensive-Care Units 新生儿重症监护病房基于云的医疗基础设施

Volume 9: 15th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications Pub Date : 2019-11-25 DOI: 10.1115/detc2019-97526

Lucia Migliorelli, A. Cenci, Michele Bernardini, L. Romeo, S. Moccia, P. Zingaretti

引用次数: 0

Model-Based Combustion Duration and Ignition Timing Prediction for Combustion Phasing Control of a Spark-Ignition Engine Using In-Cylinder Pressure Sensors 基于模型的基于缸内压力传感器的火花点火发动机燃烧相位控制的燃烧持续时间和点火时间预测

Volume 9: 15th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications Pub Date : 2019-11-25 DOI: 10.1115/detc2019-97703

Xin Wang, Amir Khameneian, P. Dice, Bo Chen, M. Shahbakhti, J. Naber, Chad Archer, Qiuping Qu, C. Glugla, G. Huberts

{"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}

引用次数: 7

Overview of Remote Sensing Efforts at University of Maryland Eastern Shore 马里兰大学东岸遥感工作综述

Volume 9: 15th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications Pub Date : 2019-11-25 DOI: 10.1115/detc2019-98457

A. Nagchaudhuri, Travis Ford, C. Hartman

{"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}

引用次数: 1