2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)最新文献_第4页

Modeling and Simulation of Flexible Tethered Satellite System 柔性系留卫星系统建模与仿真

2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) Pub Date : 2018-09-01 DOI: 10.1109/ICEEE.2018.8533913

Najmeh Keshtkar, Manuel Sanjurjo Rivo, A. Poznyak, S. Keshtkar

引用次数: 1

Position-Velocity Categorization of Time-Frequency Coherence for the Analysis of Muscle Coordination Dynamics of Elbow Joint During Low Force Movements in Healthy Children 健康儿童低力运动中肘关节肌肉协调动力学的时频相干位置-速度分类分析

2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) Pub Date : 2018-09-01 DOI: 10.1109/ICEEE.2018.8533977

A. Pérez-Sanpablo, E. R. Avila, Alicia Meneses Peñaloza, C. Disselhorst-Klug, S. Becker, J. Zannatha, J. Gutiérrez-Martínez

{"title":"Position-Velocity Categorization of Time-Frequency Coherence for the Analysis of Muscle Coordination Dynamics of Elbow Joint During Low Force Movements in Healthy Children","authors":"A. Pérez-Sanpablo, E. R. Avila, Alicia Meneses Peñaloza, C. Disselhorst-Klug, S. Becker, J. Zannatha, J. Gutiérrez-Martínez","doi":"10.1109/ICEEE.2018.8533977","DOIUrl":"https://doi.org/10.1109/ICEEE.2018.8533977","url":null,"abstract":"In this study we used a method based on joint position and velocity categorization of time frequency coherence calculated using the pseudo smoothed Wigner-Ville distribution (PSWVD). PSWVD is applied to one experimental data set of sEMG signals during voluntary isotonic elbow movements in healthy children. Nine healthy children (age range 6-13 years old) were assessed. Time-frequency coherence of each muscle were divided into ten joint angle categories (0°-130°) and five joint angular velocity categories (0°/s to 1097°/s) based on elbow kinematic data. Effects of load configurations, elbow position, elbow velocity and muscle pairs were analyzed by ANOVA tests. Findings suggest the existence of a common muscle coordination dynamics between antagonistic muscles of elbow joint which may be helpful to understand neuromusculoskeletal deficits and to evaluate and to design interventions for neuromusculoskeletal diseases.","PeriodicalId":6924,"journal":{"name":"2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","volume":"518 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77155010","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: 2

Feature selection for stress level classification into a physiologycal signals set 特征选择将应力水平分类为生理信号集

2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) Pub Date : 2018-09-01 DOI: 10.1109/ICEEE.2018.8533968

Marco A. Jimenez-Limas, C. A. Ramirez-Fuentes, B. Tovar-Corona, Laura Ivoone Garay Jiménez

{"title":"Feature selection for stress level classification into a physiologycal signals set","authors":"Marco A. Jimenez-Limas, C. A. Ramirez-Fuentes, B. Tovar-Corona, Laura Ivoone Garay Jiménez","doi":"10.1109/ICEEE.2018.8533968","DOIUrl":"https://doi.org/10.1109/ICEEE.2018.8533968","url":null,"abstract":"This paper describes the methodology and results obtained when classifying two states of stress, low and high using a data base from Physionet that contains the recordings of physiological signals under several stress conditions. The signals were first denoised and then, features were extracted for segments of 5 minutes. Four out of 6 signals were chosen: heart rate variability, respiration, galvanic skin response from the hand, and galvanic skin response from the foot. Two non-lineal features were extracted: approximate entropy and correlation dimension, both with m=2 and m=3. Besides, three linear features were extracted: energy, mean and standard deviation. Five machine learning classifiers were compared: K-nearest neighbours, Support vector machines with a linear kernel, support vector machines with a Gaussian kernel, Naïve Bayes classifier, Random forest classifier and logistic regression. It was found that approximate entropy and correlation dimension with m=3 provide the greater differences between the two stress states. It was also found that choosing only three physiological signals and correlation dimension with m=3 the logistic regression classifier achieved and accuracy of 81.38%, the best performance compared to other combinations of signals and classifiers. The three physiological signals that provided the best features were heart rate variability, respiration and galvanic skin response on the foot.","PeriodicalId":6924,"journal":{"name":"2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","volume":"97 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85750643","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: 8

Fabrication and characterization of a PVDF/PLA membrane made by electrospinning as a flexible temperature sensor 静电纺丝制PVDF/PLA柔性温度传感器膜的制备与表征

2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) Pub Date : 2018-09-01 DOI: 10.1109/ICEEE.2018.8533876

G. Rodríguez-Roldán, E. Suaste-Gómez, Héctor Reyes-Cruz

{"title":"Fabrication and characterization of a PVDF/PLA membrane made by electrospinning as a flexible temperature sensor","authors":"G. Rodríguez-Roldán, E. Suaste-Gómez, Héctor Reyes-Cruz","doi":"10.1109/ICEEE.2018.8533876","DOIUrl":"https://doi.org/10.1109/ICEEE.2018.8533876","url":null,"abstract":"In this work, a temperature characterization of a PVDF/PLA membrane made by electrospinning technique is presented. Electrospinning is a versatile method to generate fibers made of a variety of materials such as ceramics or polymers that can reach the nanometric range. Polyvinylidene difluoride (PVDF) is a piezoelectric smart polymer which is often combined with other materials in order to improve or modify its properties. This work was focused in the fabrication and characterization of electrospun PVDF/PLA (50/50 wt%) membranes as a polymeric temperature sensor. Dielectric behavior of the membrane by applying an external stimuli such as temperature was observed. Results of this behavior showed a linear response relating temperature and the dielectric constant of the membrane. The membrane was examinated using scanning electron microscope (SEM) techniques. As a result, low porous flexible membranes were obtained with fiber diameters in a range from 50 nm to 200 nm. In conclusion, polymeric piezoelectric membranes are a promising tool in fields such as biomedical engineering, robotics and electronics as scaffolds, sensors or actuators due to their ferroelectric nature.","PeriodicalId":6924,"journal":{"name":"2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","volume":"9 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87052421","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

CCE 2018 Author Instructions CCE 2018作者说明

2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) Pub Date : 2018-09-01 DOI: 10.1109/iceee.2018.8533922

引用次数: 0

Characterizations of a Selenized Cu(In1-xGax)Se2 Thin Film Absorber Layer Fabricated By a Three-Stage Hybrid Method 三段杂化法制备硒化Cu(In1-xGax)Se2薄膜吸收层的表征

2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) Pub Date : 2018-09-01 DOI: 10.1109/ICEEE.2018.8533902

Adhikari Ashok, J. Narro-Rios, O. Nwakanma, Ganesh Regmi, S. Velumani, F. A. Pulgarin-Agudelo

引用次数: 5

Constrained Extremum Seeking with Function Measurements Disturbed by Stochastic Noise 随机噪声干扰下函数测量值的约束极值求

2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) Pub Date : 2018-09-01 DOI: 10.1109/ICEEE.2018.8533991

Cesar U. Solis, J. Clempner, A. Poznyak

引用次数: 3

Validation of an EMG sensor for Internet of Things and Robotics 一种用于物联网和机器人的肌电传感器的验证

2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) Pub Date : 2018-09-01 DOI: 10.1109/ICEEE.2018.8533972

A. González-Mendoza, A. Pérez-Sanpablo, R. López-Gutíerrez, I. Quiñones-Urióstegui

引用次数: 8

Simple Method for Fabrication of Light Diffraction Gratings from Ultraviolet to Infrared 紫外至红外光衍射光栅的简易制作方法

2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) Pub Date : 2018-09-01 DOI: 10.1109/ICEEE.2018.8533921

A. Hernández, R. Asomoza-Palacio, Y. Kudriavtsev

引用次数: 0

Free Leg Impulse For Extra Weight Lifting Humanoid Walk 为额外的举重类人行走自由腿冲动

2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) Pub Date : 2018-09-01 DOI: 10.1109/ICEEE.2018.8533942

A. Ortiz, J. Zannatha

引用次数: 0