2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)最新文献_第2页

A dynamic prediction model for intraoperative somatosensory evoked potential monitoring 术中躯体感觉诱发电位监测的动态预测模型

2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) Pub Date : 2015-06-12 DOI: 10.1109/CIVEMSA.2015.7158596

H. Cui, Xiaobo Xie, Shengpu Xu, Yong Hu

引用次数: 1

Fuzzy inference system as decision-maker to automate cryo-EM data acquisition on a transmission electron microscope 模糊推理系统作为决策系统实现透射电镜低温电镜数据采集自动化

2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) Pub Date : 2015-06-12 DOI: 10.1109/CIVEMSA.2015.7158607

D. Gil-Carton, M. Valle, A. Garrido, I. G. Hernandez, Iñigo Miguel

{"title":"Fuzzy inference system as decision-maker to automate cryo-EM data acquisition on a transmission electron microscope","authors":"D. Gil-Carton, M. Valle, A. Garrido, I. G. Hernandez, Iñigo Miguel","doi":"10.1109/CIVEMSA.2015.7158607","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2015.7158607","url":null,"abstract":"Cryo-electron microscopy (Cryo-EM) data acquisition on modern transmission electron microscopes (TEM) is the first step during the single-particle analysis workflow. Importantly, the demand for large number of two dimensional images requires reliable and efficient automation of image data collection. We present a novel control scheme for automated cryo-EM data collection that monitors the quality of the data in real time and greatly improves the final efficiency of the acquisition. We propose the use of a fuzzy inference system (FIS) model to take decisions during the automated and sequential selection of hole areas in prefabricated EM grids. A new method based on adaptive neuro-fuzzy inference system (ANFIS) models was successfully trained to classify previously detected single particles from acquired images. In the methodology FIS and ANFIS are used to model expert behavior. The method is validated in real-time cryo-EM data acquisition for single-particle approach of bacterial ribosomes.","PeriodicalId":348918,"journal":{"name":"2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115021746","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

Reliability and sensitivity analysis on the center of pressure measures in healthy young adults using Nintendo Wii balance board 健康青少年使用任天堂Wii平衡板压力测量中心的信度和灵敏度分析

2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) Pub Date : 2015-06-12 DOI: 10.1109/CIVEMSA.2015.7158590

Xiaoting Qu, Wenya Nan, C. Wong, F. Wan, Yong Hu

{"title":"Reliability and sensitivity analysis on the center of pressure measures in healthy young adults using Nintendo Wii balance board","authors":"Xiaoting Qu, Wenya Nan, C. Wong, F. Wan, Yong Hu","doi":"10.1109/CIVEMSA.2015.7158590","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2015.7158590","url":null,"abstract":"Balance ability is closely associated with human's physical capability in various aspects from sports performance in athletes, reduced motor functional control in elder people, and the falls in the patients with neurologic disease such as stroke. A good balance evaluation method is therefore quite important and center of pressure (CoP) trajectories measured by a laboratory based force platform (FP) is considered as a gold standard for balance assessment despite its expensive and complicated setup process. This paper investigates the reliability and sensitivity on the CoP measures in healthy young adults using Nintendo Wii Balance Board (WBB) which is a cheaper solution to this problem. Two main parameters used in this study are the mean CoP path velocity (the summation of all the distance between adjacent CoP points, divided by the used time) and the mean absolute CoP sway distance (the mean distance between the CoP point and the mean value of (x, y) (virtual center)), from CoP trajectories (x, y) information. An experiment for acquiring CoP data through WBB was designed and 16 participants were recruited to perform the balance test during quiet standing in two and single leg, under eyes-open and eyes-closed conditions. Paired t-test was performed and the intraclass correlation coefficient (ICC) was calculated in the statistics analysis. The experiment results showed good reliability and sensitivity of WBB in this test.","PeriodicalId":348918,"journal":{"name":"2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132860929","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

PLS initialized sequential estimator for target localization using AOA measurements PLS初始化序贯估计器的目标定位使用AOA测量

2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) Pub Date : 2015-06-12 DOI: 10.1109/CIVEMSA.2015.7158617

Yanzi Wang, Z. Duan

{"title":"PLS initialized sequential estimator for target localization using AOA measurements","authors":"Yanzi Wang, Z. Duan","doi":"10.1109/CIVEMSA.2015.7158617","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2015.7158617","url":null,"abstract":"Target localization using AOA measurements has attracted substantial attention for several decades. Traditional algorithms regard the target position as a non-random parameter and employ estimators like least squares (LS) or maximum likelihood (ML) to estimate the target location. In this paper, we propose a new framework for target localization using AOA measurements. The idea of this framework is to treat the unknown position as a random vector and then use the linear minimum mean square error (LMMSE) criterion to obtain an estimator that sequentially fuses the AOA measurements from multiple sensors. The key difficulty of this criterion is how to determine the prior first two moments of the unknown location. This is tackled by pseudo-linear least squares (PLS), which is verified to be perfectly credible through three credibility measures. Extensive numerical examples show that the PLS initialized sequential estimator outperforms the existing PLS and its root-mean-square error (RMSE) is close to the Cramer-Rao lower bound (CRLB) in most cases.","PeriodicalId":348918,"journal":{"name":"2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"193 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114216698","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: 4

Towards visual smart metering exploiting wM-Bus and DLMS/COSEM 利用wM-Bus和DLMS/COSEM实现可视化智能计量

2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) Pub Date : 2015-06-12 DOI: 10.1109/CIVEMSA.2015.7158602

G. D. Leo, C. Liguori, V. Paciello, A. Pietrosanto, P. Sommella

引用次数: 11

Over provisioning rate in three-dimensional wireless sensor networks for partial sensing coverage 三维无线传感器网络在部分传感覆盖下的过供给率

2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) Pub Date : 2015-06-12 DOI: 10.1109/CIVEMSA.2015.7158622

Yun Wang

{"title":"Over provisioning rate in three-dimensional wireless sensor networks for partial sensing coverage","authors":"Yun Wang","doi":"10.1109/CIVEMSA.2015.7158622","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2015.7158622","url":null,"abstract":"Recent advances have witnessed the success and popularity of three dimensional (3D) wireless sensor network (WSN) applications. The majority of existing works however consider a 2D plane and the results can not be applied to the 3D cases directly due to the addition of a new dimension. In this paper, we investigate the deployment efficiency problem in a random 3D WSN in term of over-provisioning rate and node demanding rate for application-specific partial α sensing coverage. We approach the problem through an integrated framework using mathematical modeling, numerical analysis, and simulation validation. We show that there exists a critical sensing coverage (α = 0.9) below which the over provisioning rate increases gradually and above which the over-provisioning rate increases very rapidly. For example, 130% more sensors will be required to achieve 5% increase in the sensing coverage when the base coverage reaches 0.9. Further, the node demanding rate increases sharply even for a small extent of sensing coverage improvement when the base coverage is beyond 0.9. Simulation results match with the numerical results and validate the modeling, analysis, and conclusions. This work identifies the benefits of employing application-tolerable partial sensing coverage and provides insights into the deployment and implementation of 3D sensor networks for practical reference.","PeriodicalId":348918,"journal":{"name":"2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114419775","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

A three-axis optical electric field sensor for high-altitude nuclear electromagnetic pulse (HNEMP) measurement 用于高空核电磁脉冲(HNEMP)测量的三轴光电场传感器

2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) Pub Date : 2015-06-12 DOI: 10.1109/CIVEMSA.2015.7158621

Jiahong Zhang, Fushen Chen, Bao Sun, Kaixin Chen, Lei Wang

引用次数: 3

A tunable optoelectronic oscillator based on single sideband modulation and stimulated Brillouin scattering 基于单边带调制和受激布里渊散射的可调谐光电振荡器

2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) Pub Date : 2015-06-12 DOI: 10.1109/CIVEMSA.2015.7158623

Chengxin Li, Fushen Chen, Jiahong Zhang

引用次数: 5

Variational Bayesian modified adaptive mamdani fuzzy modelling for use in condition monitoring 变分贝叶斯修正自适应mamdani模糊模型在状态监测中的应用

2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) Pub Date : 2015-06-12 DOI: 10.1109/CIVEMSA.2015.7158608

Yu Zhang, Jun Chen, C. Bingham, T. Gordon

引用次数: 1

Optimal sample size allocation for integrated test scheme 综合试验方案的最优样本量分配

2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) Pub Date : 2015-06-12 DOI: 10.1109/CIVEMSA.2015.7158624

Guangling Dong, Chi He, Z. Dai

引用次数: 0