2019 4th International Conference on Measurement, Information and Control (ICMIC)最新文献_第2页

Non-destructive Detection the Content of Acid Detergent Fiber in Corn Stalk Using NIRS 近红外光谱无损检测玉米秸秆中酸性洗涤纤维含量

2019 4th International Conference on Measurement, Information and Control (ICMIC) Pub Date : 2019-08-01 DOI: 10.1109/ICMIC48233.2019.9068554

Jinlong Li, Laijun Sun

{"title":"Non-destructive Detection the Content of Acid Detergent Fiber in Corn Stalk Using NIRS","authors":"Jinlong Li, Laijun Sun","doi":"10.1109/ICMIC48233.2019.9068554","DOIUrl":"https://doi.org/10.1109/ICMIC48233.2019.9068554","url":null,"abstract":"Near-infrared spectroscopy (NIRS) with its nondestructive and high-efficiency advantages can be qualified for the quantitative detection. This study demonstrated that NIRS combined with random forest (RF) algorithm was applied as a rapid analytical method to predict the content of acid detergent fiber (ADF) in corn stalk. In order to select representative samples for modeling, Kennard-Stone (KS) method was proposed as a tool to partition samples. Then after optimized by various pretreatment methods, the performance of RF model was enhanced. Subsequently, the combination of correlation coefficient method (CCM) and linear discriminant analysis (LDA) performed on the spectra was used to reduce data redundancy and improve the accuracy of model. It turned out that the performance of RF calibration model was best when the data's dimension reduced from 1050 to 8. The determination coefficients (R2), root mean square error (RMSE), residual predictive deviation (RPD) of test set were 0.9923, 0.3759 and 11.3356, respectively. Finally, the overall results indicated that the proposed method provided a nondestructive and effective technical to predict ADF content in corn stalk.","PeriodicalId":404646,"journal":{"name":"2019 4th International Conference on Measurement, Information and Control (ICMIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128239186","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

Combination Multiple Faults Diagnosis Method Applied to the Aero-engine Based on Improved Signed Directed Graph 基于改进符号有向图的航空发动机组合多故障诊断方法

2019 4th International Conference on Measurement, Information and Control (ICMIC) Pub Date : 2019-08-01 DOI: 10.1109/ICMIC48233.2019.9068567

W. Xiaolei, Yu Zhengning, Niu Xuemin, LU Xianfeng, Yang Hao, Liu Zhongjiawen

引用次数: 2

Research of High Accuracy Detection on Plates with Electromagnetic Ultrasonic Lamb Wave 电磁超声兰姆波对板材高精度检测的研究

2019 4th International Conference on Measurement, Information and Control (ICMIC) Pub Date : 2019-08-01 DOI: 10.1109/ICMIC48233.2019.9068587

Deng Chaoran, Liu Yongqian, Zhai Guofu, Liang Bao, Wang Shengbin

引用次数: 0

Radar Sensor Fusion via Federated Unscented Kalman Filter 基于联合无气味卡尔曼滤波的雷达传感器融合

2019 4th International Conference on Measurement, Information and Control (ICMIC) Pub Date : 2019-08-01 DOI: 10.1109/ICMIC48233.2019.9068576

L. Fong, P. Lou, Lianggang Lu, Peimao Cai

{"title":"Radar Sensor Fusion via Federated Unscented Kalman Filter","authors":"L. Fong, P. Lou, Lianggang Lu, Peimao Cai","doi":"10.1109/ICMIC48233.2019.9068576","DOIUrl":"https://doi.org/10.1109/ICMIC48233.2019.9068576","url":null,"abstract":"In this paper, a three-dimensional maneuvering target tracking algorithm in which radar sensors their tracks are fused at a federated Unscented Kalman Filter (UKF), has been presented. The federated filtering is composed of three levels namely sensors, local processors and a global processor. In the sensor-level, target range, azimuth and elevation are all measured by radar sensors in the Sphere Coordinate System (SCS). Each local processor uses UKF to proceed state estimation in the Reference Cartesian Coordinate System (RCCS). Meanwhile, the UKF processes the recursion and update of the state vector and the error covariance matrix through the unscented transformations. Finally, the state of each local processor is transmitted to the global processor for fusing as a final track for system output and information feedback. Two tracking schemes based on SCS (non-linear model) and RCCS (pseudo-linear model) measurements have been studied and their performance evaluated using simulation data. It is concluded that federated UKF processing in the nonlinear model has computational effectiveness and supplies almost the same tracking accuracy compared with federated UKF processing in the pseudo-linear model.","PeriodicalId":404646,"journal":{"name":"2019 4th International Conference on Measurement, Information and Control (ICMIC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126768930","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

Research on Cognitive Diagnostic Model Based on BP Neural Network 基于BP神经网络的认知诊断模型研究

2019 4th International Conference on Measurement, Information and Control (ICMIC) Pub Date : 2019-08-01 DOI: 10.1109/ICMIC48233.2019.9068560

Jin Chen, Jianghao Lin, Xinguang Li

引用次数: 2

Nondestructive Testing of Elongated Ferromagnetic Members Based on Extruded Structure 基于挤压结构的细长铁磁构件无损检测

2019 4th International Conference on Measurement, Information and Control (ICMIC) Pub Date : 2019-08-01 DOI: 10.1109/ICMIC48233.2019.9068572

Xiaolan Yan, Donglai Zhang, Hongpeng Wang

{"title":"Nondestructive Testing of Elongated Ferromagnetic Members Based on Extruded Structure","authors":"Xiaolan Yan, Donglai Zhang, Hongpeng Wang","doi":"10.1109/ICMIC48233.2019.9068572","DOIUrl":"https://doi.org/10.1109/ICMIC48233.2019.9068572","url":null,"abstract":"The traditional electromagnetic nondestructive testing probe structure includes magnets and yokes, and forms an excitation circuit with the wire rope. The wire rope is excited to a near-saturation state. The magnetic sensor is used for qualitative or quantitative detection of leakage flux from defects. The yoke is essential in the traditional excitation circuit. However, the use of a yoke in a detection probe of such an excitation mechanism has a large volume and is heavy. Through simulation, we improved the magnetization direction and installation position of the permanent magnets. Without a yoke, the permanent magnets were placed in the direction of co-extrusion. The wire rope was excited to near saturation in the permanent-magnet part. However, there was no excitation in the center of the two permanent magnets. The magnetic sensor was placed in the center of two permanent magnets to pick up the magnetic-flux-leakage signal for nondestructive testing of the steel wire rope. This method simplifies the permanent-magnet magnetization. The excitation probe with the yoke removed was also reduced in volume and weight. Through experimental testing, it was proven that the proposed shoving-magnetic-field structure and the traditional detection structure have the same detection effect.","PeriodicalId":404646,"journal":{"name":"2019 4th International Conference on Measurement, Information and Control (ICMIC)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128426916","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

Research on the Optical Observation Method for LEO Objects with Small Inclination 小倾角LEO天体光学观测方法研究

2019 4th International Conference on Measurement, Information and Control (ICMIC) Pub Date : 2019-08-01 DOI: 10.1109/ICMIC48233.2019.9068548

Wang Kun-Peng, Yuan Han-chen, Wang Dong-ya

引用次数: 0

A New Measurement Method for Resonance Frequency of Fiber Optic Interferometric Vibration Detector 光纤干涉振动探测器谐振频率的一种新测量方法

2019 4th International Conference on Measurement, Information and Control (ICMIC) Pub Date : 2019-08-01 DOI: 10.1109/ICMIC48233.2019.9068532

Jiandong Chen, Yue Yang, Xiaoyi Pan, Zhanghai Wang, Zili Zhang, Huiliang Ge

引用次数: 0

ICMIC 2019 Organizing Committee ICMIC 2019组委会

2019 4th International Conference on Measurement, Information and Control (ICMIC) Pub Date : 2019-08-01 DOI: 10.1109/icmic48233.2019.9068573

引用次数: 0

ICMIC 2019 Author Index ICMIC 2019作者索引

2019 4th International Conference on Measurement, Information and Control (ICMIC) Pub Date : 2019-08-01 DOI: 10.1109/icmic48233.2019.9068563

引用次数: 0