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2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI)最新文献

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Classification of Thermal Tomographic Images using Eigenface Method 基于特征面法的热层析图像分类
2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI) Pub Date : 2021-01-08 DOI: 10.1109/CMI50323.2021.9362899
C. Basak, P. Kundu, G. Sarkar
{"title":"Classification of Thermal Tomographic Images using Eigenface Method","authors":"C. Basak, P. Kundu, G. Sarkar","doi":"10.1109/CMI50323.2021.9362899","DOIUrl":"https://doi.org/10.1109/CMI50323.2021.9362899","url":null,"abstract":"Our current work proposes an experimental method that captures the thermal tomographic images under a heat flow process carried out for various boundary temperatures in a volumetric space. Thermal images generated thus experimentally, are then analysed using image processing technique for performance evaluation of heating quality (e.g. Uniform, Non-uniform etc.) In pre-processing stage, the images are converted into grey-scale images containing spatial pixel intensities. The pre-processed greyscale images are classified for quality of heating. This stage includes the normalisation, determination of Eigenface, training and testing. This Eigenface yields the feature value used for comparison with that of different classes like images for uniform and non-uniform heating etc. In Eigenface technique, the space of images is projected onto a low dimensional space using Principal Component Analysis. Eigenface is used to calculate pixel proximities between images. The likeness for the similarity of the test image as captured are found out after calculating the Euclidean Distance and PCA based Similarity Factor between the known Eigenfaces and test Eigenface.","PeriodicalId":142069,"journal":{"name":"2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127814551","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
Deep Learning based Soft Sensor for Bioprocess Application 基于深度学习的生物过程软传感器应用
2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI) Pub Date : 2021-01-08 DOI: 10.1109/CMI50323.2021.9362948
V. Krishna, N. Pappa, S. Rani
{"title":"Deep Learning based Soft Sensor for Bioprocess Application","authors":"V. Krishna, N. Pappa, S. Rani","doi":"10.1109/CMI50323.2021.9362948","DOIUrl":"https://doi.org/10.1109/CMI50323.2021.9362948","url":null,"abstract":"Soft Senors provides an alternative way for measuring the process variables which cannot be measured online. Deep learning training techniques has become popular for designing Soft sensors for complex nonlinear systems because of accuracy and robustness. The work presented in this paper was to design a Soft Sensor to estimate bioprocess variables like lactose and ethanol concentrations in the bioreactor using deep neural networks(DNN).Here an unsupervised learning has been used to pre-train the network and supervised learning was used for training the network. self-organizing Maps(SOM) was used for pre-training the network and error back propagation algorithm was used for training the network. The Design of soft sensor using such Combination of algorithms results in better performance in terms of estimated values and measurement error when compared with other methods estimation. Furthermore, the performance of the soft sensor has been observed with different hidden layers and it was concluded that with three hidden layers the soft sensor gives accurate results when compared to that of the single layer.","PeriodicalId":142069,"journal":{"name":"2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132989753","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: 3
Multi Signal Pulse Wave Analysis for the Identification of Vascular Diseases Leading to Diabetic Foot 多信号脉冲波分析在糖尿病足血管疾病诊断中的应用
2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI) Pub Date : 2021-01-08 DOI: 10.1109/CMI50323.2021.9362797
K. Suresh, A. Sukesh Kumar
{"title":"Multi Signal Pulse Wave Analysis for the Identification of Vascular Diseases Leading to Diabetic Foot","authors":"K. Suresh, A. Sukesh Kumar","doi":"10.1109/CMI50323.2021.9362797","DOIUrl":"https://doi.org/10.1109/CMI50323.2021.9362797","url":null,"abstract":"The peripheral arterial diseases are usually diagnosed by non-invasive investigations, such as hemodynamic assessment of lower level arterial circulation, tissue oxygen perfusion measurements etc. Diabetic foot ulceration is mostly related with peripheral arterial diseases. This work aims to identify the possibilities of diabetic foot by analysing the differential pulse waves of arm and leg. Pulse volume waveforms of ankle and brachium are used for the analysis. Multi signal packet wavelet feature extraction technique is used for identifying the differential features of the right/left limbs. Machine learning classification algorithms are employed for the evaluation purpose. Previous studies have proved the direct relationship between pulse wave velocity and blood pressure. Pulse wave velocity is very much linked with vascular diseases. The Moens Korteweg and Hughes models provides the background for this study, which relates the blood pressure and Pulse Wave Velocity. Samples are collected form the normal diabetic patients and from those who have considerable symptoms of arterial diseases. Multi signal packet wavelet feature extraction techniques are used for identifying the differential features of the right/left limbs. Machine learning classification algorithms are used to identify the accuracy of the method.","PeriodicalId":142069,"journal":{"name":"2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130040979","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
PID Flow-Level Control Tuned by Genetic Algorithm and Harmony Search Algorithm 基于遗传算法和和谐搜索算法的PID液位控制
2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI) Pub Date : 2021-01-08 DOI: 10.1109/CMI50323.2021.9362959
S. Pramanik, A. Sengupta, Neelbrata Roy
{"title":"PID Flow-Level Control Tuned by Genetic Algorithm and Harmony Search Algorithm","authors":"S. Pramanik, A. Sengupta, Neelbrata Roy","doi":"10.1109/CMI50323.2021.9362959","DOIUrl":"https://doi.org/10.1109/CMI50323.2021.9362959","url":null,"abstract":"PID controller is widely used in industries because of its simplicity and robustness. A Simple approach to improve regulatory control performance is to design an advanced controller based on specific desired criteria. In this paper, a theoretical closed loop model of the Level-flow control trainer is developed using standard TF estimation method. The tuning of Single loop PID controller is done in MATLAB by Genetic Algorithm & Harmony Search Algorithm and the latter one gives the better performance. So, HSA is chosen for the advanced controller tuning. The values obtained from HSA are used for getting the real-time response of the system for cascade control and feed forward control strategy. A faster response in case of feed forward and a better disturbance rejection in case of cascade controller are found. The frequency response (Bode Plot) of single variable process and multivariable process are compared and comment on relative stability has been made based on the Gain margin obtained from the frequency response analysis.","PeriodicalId":142069,"journal":{"name":"2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121327826","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
Performance analysis of 2-link Robotic Manipulator with LPF and α-filter based UDE controller 基于LPF和α-滤波器的二连杆机械臂性能分析
2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI) Pub Date : 2021-01-08 DOI: 10.1109/CMI50323.2021.9362904
Shilpee Kumar, S. Chakraborty
{"title":"Performance analysis of 2-link Robotic Manipulator with LPF and α-filter based UDE controller","authors":"Shilpee Kumar, S. Chakraborty","doi":"10.1109/CMI50323.2021.9362904","DOIUrl":"https://doi.org/10.1109/CMI50323.2021.9362904","url":null,"abstract":"Robust trajectory tracking control of the 2-link robotic manipulator is analyzed by implementing two different filters in conjunction with UDE controller. The proposed controller is employed to estimate the uncertainties and disturbances and nullify their effects with an appropriate filter. The feedback linearization method is used for trajectory tracking and is extended with UDE to achieve robustness. A low pass filter (LPF) is augmented to the controller design when the external disturbance is constant or slow-varying. However, this technique is not sufficient to ensure robustness when the estimated disturbance is fast varying or sinusoidal. To address the problem, a $alpha-$ filter is used in place of LPF. This novelty lies in the new filter design range sufficient enough to keep the error within an acceptable limit with an appropriate choice of cx. Simulations for 2-link robotic manipulator are carried out to demonstrate the efficacy of the two filter design.","PeriodicalId":142069,"journal":{"name":"2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126817945","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
Realization of Solid Fractional Order Capacitor Using Common Materials 用普通材料实现固体分数阶电容器
2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI) Pub Date : 2021-01-08 DOI: 10.1109/CMI50323.2021.9362745
A. Jha, Aman Dubey, Debanjan Das
{"title":"Realization of Solid Fractional Order Capacitor Using Common Materials","authors":"A. Jha, Aman Dubey, Debanjan Das","doi":"10.1109/CMI50323.2021.9362745","DOIUrl":"https://doi.org/10.1109/CMI50323.2021.9362745","url":null,"abstract":"Fractional order element is the most basic components for realization of fractional order systems. A solid fractional order capacitor (FOC) is observed to be capable of replacing bulky ladder RC circuits without altering the system’s behaviour. Instead of an ordinary, conventional and high cost semi-solid FOC, the idea is to design an economically viable solid FOC with low fabrication cost materials like carbon, nail enamel and araldite. This paper describes fabrication of FOC with copper as electrodes and dielectric mix of carbon, nail enamel and araldite, arranged in layers between the two electrodes, with a porous film layer in the middle. The proposed methodology exhibits combination of both resistive and capacitive behaviour, fractionally and for frequencies above 10 kHz, it works as a constant phase element (CPE) with constant phase angle (CPA) of 75o and corresponding $alpha$ value of 0.8333. The fractional behavior of the fabricated FOC is verified through filter realization with the help of already available Thomas Biquad Model over fractional order Chebyshev lowpass filters.","PeriodicalId":142069,"journal":{"name":"2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134467209","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
Sign Language Detection from Hand Gesture Images using Deep Multi-layered Convolution Neural Network 基于深度多层卷积神经网络的手势图像手语检测
2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI) Pub Date : 2021-01-08 DOI: 10.1109/CMI50323.2021.9362897
R. Bhadra, Subhajit Kar
{"title":"Sign Language Detection from Hand Gesture Images using Deep Multi-layered Convolution Neural Network","authors":"R. Bhadra, Subhajit Kar","doi":"10.1109/CMI50323.2021.9362897","DOIUrl":"https://doi.org/10.1109/CMI50323.2021.9362897","url":null,"abstract":"Automatic detection of sign language from hand gesture images is crucial nowadays. Accurate detection and classification of sign language can help people with hearing and speech disorder. In this paper, a deep multi-layered convolution neural network is proposed for this purpose. In the proposed approach, 32 convolution filters with 3 x3 kernel, LeakyReLU activation function and 2 x2 max pooling operation have been performed in the deep multi-layered CNN structure. SoftMax activation function has been used in the output layer. The proposed approach has been evaluated on a database containing both static (54000 images and 36 classes) and dynamic (49613 images and 23 classes) hand gesture images. Experimental results demonstrate the efficacy of the proposed methodology in sign language detection task.","PeriodicalId":142069,"journal":{"name":"2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI)","volume":"204 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115717373","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: 11
Fractional Order Intelligent Controller for Single Tank Liquid Level System 单罐液位系统的分数阶智能控制器
2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI) Pub Date : 2021-01-08 DOI: 10.1109/CMI50323.2021.9362762
R. Paul, A. Sengupta
{"title":"Fractional Order Intelligent Controller for Single Tank Liquid Level System","authors":"R. Paul, A. Sengupta","doi":"10.1109/CMI50323.2021.9362762","DOIUrl":"https://doi.org/10.1109/CMI50323.2021.9362762","url":null,"abstract":"This paper addresses the application of fractional order integrator in multiresolution controller to design new fractional order intelligent controller (FOIC) using packet wavelet transform in discrete demesne for laboratory scale single tank liquid level system (LLS). The essence of this approach is to reduce the complexity of integer order packet controller as well as to achieve the better tracking performance compared to fractional order proportional-integral (FOPI) controller, fractional order discrete wavelet based controller as well as integer order packet controller. In this paper, the effects of this new FOI controller are studied and NI LABVIEW based simulation results are shown. The results on LLS problem show that this fractional order simple tree structured packet controller (FOIC) achieves better tracking performance i.e. lower steady state error with zero overshoot compared to its integer order version as well as FOPI controller. Also, the results depict its performance efficacy i.e. faster dynamic response over fractional order discrete wavelet controller and it provides better noise rejection potency by improving signal to noise ratio than FOPI controller.","PeriodicalId":142069,"journal":{"name":"2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115670782","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
Surface Velocity Estimation of Streams Using a 77 GHz Radar Unit 用77 GHz雷达单元估算流的表面速度
2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI) Pub Date : 2021-01-08 DOI: 10.1109/CMI50323.2021.9362827
Martin Scherhäufl, Erwin Schimbäck, Jean-Marie Sevar
{"title":"Surface Velocity Estimation of Streams Using a 77 GHz Radar Unit","authors":"Martin Scherhäufl, Erwin Schimbäck, Jean-Marie Sevar","doi":"10.1109/CMI50323.2021.9362827","DOIUrl":"https://doi.org/10.1109/CMI50323.2021.9362827","url":null,"abstract":"Relying on a multi-channel 77 GHz radar unit, a surface velocity measurement system for streams is introduced. By applying the frequency-modulated continuous-wave approach, the distance between the radar unit and the target, the angle-of-incidence of the radio wave signal, and the target velocity are determined. Thus, interfering reflections resulting from moving as well as stationary scatterers can be separated from the relevant target. Two approaches are analyzed, allowing either to estimate the surface velocity profile for the cross section of the channel, or to simultaneously determine the surface velocity and the height of the radar unit above the surface of the water. To verify the system concept, measurements were carried out under real environmental conditions, showing accurate results for both approaches.","PeriodicalId":142069,"journal":{"name":"2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121984501","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
Effect of Electrode Thickness and Spacing in the Sensing Capabilities of Surface Acoustic Wave Delay Lines 电极厚度和间距对表面声波延迟线传感能力的影响
2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI) Pub Date : 2021-01-08 DOI: 10.1109/CMI50323.2021.9362796
Sheeja P. George, J. Isaac, J. Philip
{"title":"Effect of Electrode Thickness and Spacing in the Sensing Capabilities of Surface Acoustic Wave Delay Lines","authors":"Sheeja P. George, J. Isaac, J. Philip","doi":"10.1109/CMI50323.2021.9362796","DOIUrl":"https://doi.org/10.1109/CMI50323.2021.9362796","url":null,"abstract":"The effect of electrode thickness, electrode spacing and configurations on the resonance frequency of X-Y Lithium Niobate (LiNbO3) delay line using commercial finite element analysis tool ANSYS is presented for the first time in this study. The series of simulations is carried out for different electrode materials—Aluminium, Copper and Gold. Each of the parameters has an impact on the resonance frequency and by the careful design of these parameters, the appropriate delay line can be realized for applications such as filters, sensors and actuators.","PeriodicalId":142069,"journal":{"name":"2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133160913","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
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