2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI)最新文献_第9页

Occupancy grid map generation using 360° scanning xtion pro live for indoor mobile robot navigation 占用网格地图生成使用360°扫描xtion pro live室内移动机器人导航

2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI) Pub Date : 1900-01-01 DOI: 10.1109/CMI.2016.7413791

A. S. Kundu, O. Mazumder, Ankit Dhar, S. Bhaumik

引用次数: 14

Analysis of 6-DOF motion with PI controller in electrohydraulic stewart platform 基于PI控制器的电液stewart平台六自由度运动分析

2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI) Pub Date : 1900-01-01 DOI: 10.1109/CMI.2016.7413736

S. Das Mahapatra, D. Saha, R. Saha, D. Sanyal, D. Lahiri, J. P. Singh

引用次数: 12

Design and manufacture of Bio-mimic robotic fish 仿生机器鱼的设计与制造

2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI) Pub Date : 1900-01-01 DOI: 10.1109/CMI.2016.7413787

Shrikant Arale, Chirag Pawar, Arvind Deshmukh, Shruti Dalvi, Pariksheet Pinjari, S. Ohol

{"title":"Design and manufacture of Bio-mimic robotic fish","authors":"Shrikant Arale, Chirag Pawar, Arvind Deshmukh, Shruti Dalvi, Pariksheet Pinjari, S. Ohol","doi":"10.1109/CMI.2016.7413787","DOIUrl":"https://doi.org/10.1109/CMI.2016.7413787","url":null,"abstract":"Design and manufacture an underwater robot by using bio-mimic design approach for the application of surveillance. The design, development, graphical modelling and control of a bio-mimic underwater robot named the Robotic Fish has been presented in this report. The simple and efficient design is inspired from Mother Nature. This robot not only navigates in an underwater environment on its own but also operates efficiently with simple mechanism consisting of two servo motors and a pump assembly. Servo motors enable to obtain swift forward and rotational motion and pump assembly assists deep diving in water. Various sensors help the robot to make intelligent decisions such as obstacle detection, change in direction and also provide valuable information as live streaming, pressure and temperature. The innovative design of robot helps to reduce the complex structure without compromising the agility and performance of the robot which helps to achieve the real motion of the fish, making robot competent for aquatic-based applications such as underwater exploration, oceanic supervision, detection of pollution level and military detection.","PeriodicalId":244262,"journal":{"name":"2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132831871","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

Radial basis function neural network for prediction of cardiac arrhythmias based on heart rate time series 基于心率时间序列的径向基函数神经网络预测心律失常

2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI) Pub Date : 1900-01-01 DOI: 10.1109/CMI.2016.7413789

J. P. Kelwade, S. Salankar

引用次数: 22

Design and tuning of fractional order PID controller for speed control of permanent magnet brushless DC motor 永磁无刷直流电动机转速控制分数阶PID控制器的设计与整定

2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI) Pub Date : 1900-01-01 DOI: 10.1109/CMI.2016.7413764

S. Khubalkar, A. Chopade, A. Junghare, M. Aware

{"title":"Design and tuning of fractional order PID controller for speed control of permanent magnet brushless DC motor","authors":"S. Khubalkar, A. Chopade, A. Junghare, M. Aware","doi":"10.1109/CMI.2016.7413764","DOIUrl":"https://doi.org/10.1109/CMI.2016.7413764","url":null,"abstract":"This paper deals speed control of a Permanent Magnet Brushless Direct Current (PMBLDC) Motor using Fractional Order PID (FO-PID) controller tuned with different algorithms for PMBLDC motor. The inherent advantages of the FO-PID over conventional are its added fractions variables. The FO-PID controller is a generalized form of PID controller in which order of integration (I) and differentiation is any real number. It is shown that the proposed controller, which has five independent parameters (Kp, Ki, Kd, λ, μ) to tune, provides a powerful framework to control PMBLDC motor. The gain of PID controller is obtained by conventional methods of Ziegler-Nicholas (ZN), Cohen Coon (CC) and Amstron-Hagglund (AH). The Oustaloup's method is used to approximate the fractional order. Integration (s-λ) and differentiation (sμ) order is tuned using Nelder-Mead (NM), Interior point (IP) and Active set (AS) algorithm. The controller analysis is presented with the plant to ascertain the performance of the PMBLDC motor. Improvement in transient performance of the system using FO-PID controller is observed in the comparative results.","PeriodicalId":244262,"journal":{"name":"2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122353831","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: 31

Entropy-based wavelet de-noising for partial discharge measurement application 基于熵的小波去噪在局部放电测量中的应用

2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI) Pub Date : 1900-01-01 DOI: 10.1109/CMI.2016.7413752

P. Ray, A. Maitra, A. Basuray

引用次数: 5

Comparative analysis of different fractal methods in studying post-ictal ECG signals of epilepsy patient 不同分形方法在癫痫发作后心电信号研究中的比较分析

2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI) Pub Date : 1900-01-01 DOI: 10.1109/CMI.2016.7413743

M. Chakraborty, T. Das, D. Ghosh

{"title":"Comparative analysis of different fractal methods in studying post-ictal ECG signals of epilepsy patient","authors":"M. Chakraborty, T. Das, D. Ghosh","doi":"10.1109/CMI.2016.7413743","DOIUrl":"https://doi.org/10.1109/CMI.2016.7413743","url":null,"abstract":"Measuring EEG signals as a diagnostic tool for Epileptic patient is a well traveled way. Different non-linear statistical approaches have been applied over the past years on this signal to reveal the nature of connection between epilepsy and EEG. In this work we study the post-ictal ECG signals of epileptic patient collected from MIT-BIH database using mono-fractal methods as well as multifractal approach. We compare the results of the same statistical methods with healthy normal group. Result from monofractal analysis such as Rescaled range analysis indicates that the ECG signals of epileptic patients are anti-persistent in nature whereas for healthy normal people it is persistent. Detrended fluctuation analysis also confirms the same fact and declares that ECG signals of healthy normal people are more persistent and more correlated than epileptic patients. Finally we use the multifractal approach on the ECG signals. Result from the Multifractal detrended fluctuation analysis confirms that healthy normal people have higher degree of multifractality compared to epileptic patients.","PeriodicalId":244262,"journal":{"name":"2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122982595","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: 6

Biogeography based PI controller for unified power quality conditioner 基于生物地理的统一电能质量调节器PI控制器

2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI) Pub Date : 1900-01-01 DOI: 10.1109/CMI.2016.7413750

Akash K. Maity, Ruchira Pratihar, Shayak Sadhu, S. Dalai

引用次数: 4

Emotion recognition from facial image analysis using composite similarity measure aided bidimensional empirical mode decomposition 基于复合相似测度辅助二维经验模态分解的面部图像情感识别

2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI) Pub Date : 1900-01-01 DOI: 10.1109/CMI.2016.7413766

Arghya Bhattacharya, Dwaipayan Choudhury, D. Dey

{"title":"Emotion recognition from facial image analysis using composite similarity measure aided bidimensional empirical mode decomposition","authors":"Arghya Bhattacharya, Dwaipayan Choudhury, D. Dey","doi":"10.1109/CMI.2016.7413766","DOIUrl":"https://doi.org/10.1109/CMI.2016.7413766","url":null,"abstract":"The aim of this work is to automatically detect and analyse the emotions from the digital videos and images. Initially the images are extracted from pre-recorded videos, from which the faces are cropped automatically. The training dataset is formed with minimal number of images per subject for each emotion. Bi-dimensional Empirical Mode Decomposition (BEMD) is used to decompose the images in its Intrinsic Mode Functions (IMF). Composite Similarity Measure (CSM) based classification has been employed to detect the correct emotion from the images. \"ENTERFACE'05 Audio-Visual Emotion Database\", \"JAFFE Database\" and a database developed in laboratory called \"DCAB database\" are used to test the performance of the proposed method. The advantage of this method is to be able to classify or rank the emotions found in an image or a video even when the image or video is subjected to feature occlusion such as the subject putting on spectacles or sunglasses. Moreover, it is robust to illumination, different view point and background colour of the image or video. The performance is also invariant to the dress, hair style, facial hair or moustache of the subject. This method is also able to overcome the problem related to ageing to some extent.","PeriodicalId":244262,"journal":{"name":"2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125906624","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: 5

Condition monitoring of electrical equipment using thermal image processing 使用热图像处理的电气设备状态监测

2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI) Pub Date : 1900-01-01 DOI: 10.1109/CMI.2016.7413761

Tamal Dutta, J. Sil, P. Chottopadhyay

{"title":"Condition monitoring of electrical equipment using thermal image processing","authors":"Tamal Dutta, J. Sil, P. Chottopadhyay","doi":"10.1109/CMI.2016.7413761","DOIUrl":"https://doi.org/10.1109/CMI.2016.7413761","url":null,"abstract":"Excessive temperature rise leads to majority of failures in electrical equipment. Therefore, the thermal monitoring always plays a significant role for identifying incipient faults. Now a days cost effective, reliable and non contact type infrared thermographic inspection system is being widely utilized for monitoring and fault diagnosis. In this paper, thermal images of some electrical equipment have been taken and converted to HSI color model for further processing. Unlike other techniques, instead of gray scale images, in the proposed method hue region has been taken into consideration. Then different gradient based edge detection like Prewitt, Roberts and Sobel are used to identify hot region of the thermal image. Based on some image metrics like Mean Squared Error (MSE) and Peak Signal-to-Noise Ratio (PSNR), the best method is chosen for processing of the thermal image. Lastly, Clustering based Otsu image segmentation method is introduced taking hue region. These methods are tested on 27 numbers of standard thermal images. The proposed technique gives better segmentation results for all images than the standard grey scale approaches. Hence the proposed model may produce better features for thermal monitoring of electrical equipment in future.","PeriodicalId":244262,"journal":{"name":"2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131253015","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: 32