Pub Date : 1900-01-01DOI: 10.1109/CMI.2016.7413772
Shubhankar Chakraborty, P. Das
Multiphase founds several applications in different industries. Due to complex flow structure, characterization of multiphase flow is different from that of single phase flow. In the present communication, parametric study of air water two phase flow in a 50mm vertical conduit has been performed through rigorous image processing. Only bubbly flow has been considered for the present study. Variation of void fraction, bubble number, bubble shape with time and air flow rate has been estimated by frame by frame processing of high speed videos. Statistical analysis of the time series of these parameters has also been performed to characterize bubbly flow with different air flow rate.
{"title":"Characterization of bubbly flow through the fusion of multiple features extracted from high speed images","authors":"Shubhankar Chakraborty, P. Das","doi":"10.1109/CMI.2016.7413772","DOIUrl":"https://doi.org/10.1109/CMI.2016.7413772","url":null,"abstract":"Multiphase founds several applications in different industries. Due to complex flow structure, characterization of multiphase flow is different from that of single phase flow. In the present communication, parametric study of air water two phase flow in a 50mm vertical conduit has been performed through rigorous image processing. Only bubbly flow has been considered for the present study. Variation of void fraction, bubble number, bubble shape with time and air flow rate has been estimated by frame by frame processing of high speed videos. Statistical analysis of the time series of these parameters has also been performed to characterize bubbly flow with different air flow rate.","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":"114478697","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}
Pub Date : 1900-01-01DOI: 10.1109/CMI.2016.7413729
S. Srivastava, V. S. Pandit
The PI/PID parameters for first order plus time delay (FOPTD) and second order plus time delay (SOPTD) systems have been obtained by minimizing the cost function of four different time domain performance indices. The stabilizing parameters region and location of PI/PID values have been portrayed in the proportional-integral plane of the controller to study the relative stability. We have shown via simulation that PI/PID settings obtained by minimizing the cost function obtained by the combination of above four performance indices, give an overall better closed loop performance measures.
{"title":"Studies on PI/PID controllers in the proportional integral plane via different performance indices","authors":"S. Srivastava, V. S. Pandit","doi":"10.1109/CMI.2016.7413729","DOIUrl":"https://doi.org/10.1109/CMI.2016.7413729","url":null,"abstract":"The PI/PID parameters for first order plus time delay (FOPTD) and second order plus time delay (SOPTD) systems have been obtained by minimizing the cost function of four different time domain performance indices. The stabilizing parameters region and location of PI/PID values have been portrayed in the proportional-integral plane of the controller to study the relative stability. We have shown via simulation that PI/PID settings obtained by minimizing the cost function obtained by the combination of above four performance indices, give an overall better closed loop performance measures.","PeriodicalId":244262,"journal":{"name":"2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI)","volume":"24 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":"124021769","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}
Pub Date : 1900-01-01DOI: 10.1109/CMI.2016.7413774
Abhijit Bhowmik, Abhishek Marar, Divyesh Ginoya, Shikha Singh, S. Phadke
This paper deals with reducing the vertical oscillations of the vehicle using active suspension. A full car model is considered with pitch and roll motion dynamics. Sliding mode control is used to control the nominal system matrices while the effect of disturbances from the road profile is suppressed through an inertial delay control (IDC) estimation technique. Global asymptotic stability of the controller is proved using Lyapunov criterion. Simulations are carried out in MATLAB/Simulink to evaluate the performance of the controller under parametric uncertainties and external road disturbance.
{"title":"Inertial delay control based sliding mode control for active suspension with full car model","authors":"Abhijit Bhowmik, Abhishek Marar, Divyesh Ginoya, Shikha Singh, S. Phadke","doi":"10.1109/CMI.2016.7413774","DOIUrl":"https://doi.org/10.1109/CMI.2016.7413774","url":null,"abstract":"This paper deals with reducing the vertical oscillations of the vehicle using active suspension. A full car model is considered with pitch and roll motion dynamics. Sliding mode control is used to control the nominal system matrices while the effect of disturbances from the road profile is suppressed through an inertial delay control (IDC) estimation technique. Global asymptotic stability of the controller is proved using Lyapunov criterion. Simulations are carried out in MATLAB/Simulink to evaluate the performance of the controller under parametric uncertainties and external road disturbance.","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":"131115670","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}
Pub Date : 1900-01-01DOI: 10.1109/CMI.2016.7413755
Angiras Modak, R. B. Roy, B. Tudu, R. Bandyopadhyay, N. Bhattacharyya
An advanced fuzzy approach of recognition of signal with time for tea classification with responses from electronic nose, electronic tongue and the combined sensor response of electronic nose and electronic tongue is attempted in this paper. In our model, neither priori choice of the suitable features (like peak, mean value, etc.) is considered, nor syntactic primitives as elementary components of signals are selected. Rather a new linguistic classification method named Fuzzy based Response of Signal with Time (FRST) is proposed. The novelty of the work is that instead of considering the complete signal or performing any statistical analysis on the complete signal, the sensor response is processed at the real time and the fuzzy partition is done to the sensor response spaces. At the same time, fuzzy partition is also applied on the time axis. Thus, we can assign an important role to each point of the signal depending on its position.
{"title":"A novel fuzzy based signal analysis technique in electronic nose and electronic tongue for black tea quality analysis","authors":"Angiras Modak, R. B. Roy, B. Tudu, R. Bandyopadhyay, N. Bhattacharyya","doi":"10.1109/CMI.2016.7413755","DOIUrl":"https://doi.org/10.1109/CMI.2016.7413755","url":null,"abstract":"An advanced fuzzy approach of recognition of signal with time for tea classification with responses from electronic nose, electronic tongue and the combined sensor response of electronic nose and electronic tongue is attempted in this paper. In our model, neither priori choice of the suitable features (like peak, mean value, etc.) is considered, nor syntactic primitives as elementary components of signals are selected. Rather a new linguistic classification method named Fuzzy based Response of Signal with Time (FRST) is proposed. The novelty of the work is that instead of considering the complete signal or performing any statistical analysis on the complete signal, the sensor response is processed at the real time and the fuzzy partition is done to the sensor response spaces. At the same time, fuzzy partition is also applied on the time axis. Thus, we can assign an important role to each point of the signal depending on its position.","PeriodicalId":244262,"journal":{"name":"2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI)","volume":"9 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":"127679638","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}
This paper concentrates on navigation of four wheel omni drive robot system with velocity control. The system has two feedback systems, viz. rotary encoders and laser distance sensors. The following paper assumes that these paths can be defined mathematically in terms of curves like straight line, circle, ellipse or any other mathematically defined curve or as a part of these curves. Two feedback systems enable the robot to navigate the specific path accurately and reliably. This paper explains the velocity equations of the each wheel of the drive required to navigate the path. The laser distance sensor system assists the robot to maintain its trajectory by providing real time position of the robot. The closed loop system of PID controller and rotary encoder provides the required accurate velocity to each wheel which is calculated according to the mathematical equations. As a result the robot moves to the destination point along the specific path with desired velocity.
{"title":"Velocity control of omni drive robot using PID controller and dual feedback","authors":"Akshay Birari, Amit Kharat, Purva Joshi, Rahul Pakhare, Unmesh Datar, Vaibhav Khotre","doi":"10.1109/CMI.2016.7413758","DOIUrl":"https://doi.org/10.1109/CMI.2016.7413758","url":null,"abstract":"This paper concentrates on navigation of four wheel omni drive robot system with velocity control. The system has two feedback systems, viz. rotary encoders and laser distance sensors. The following paper assumes that these paths can be defined mathematically in terms of curves like straight line, circle, ellipse or any other mathematically defined curve or as a part of these curves. Two feedback systems enable the robot to navigate the specific path accurately and reliably. This paper explains the velocity equations of the each wheel of the drive required to navigate the path. The laser distance sensor system assists the robot to maintain its trajectory by providing real time position of the robot. The closed loop system of PID controller and rotary encoder provides the required accurate velocity to each wheel which is calculated according to the mathematical equations. As a result the robot moves to the destination point along the specific path with desired velocity.","PeriodicalId":244262,"journal":{"name":"2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI)","volume":"96 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":"124581995","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}
Pub Date : 1900-01-01DOI: 10.1109/CMI.2016.7413739
N. Reddy, Soumen Sen, S. N. Shome
Fishes are very good swimmers possessing impeccable maneuverability, efficiency, and stealth. Understanding the fish propulsion and mimicking the same is important in obtaining improved performance by non-conventional types of underwater robot/vehicle actuators. The role of the caudal fin in fish locomotion is predominant at higher swimming speeds producing most of the thrust force. Generally the fin motions are oscillatory in nature. In oscillatory trajectories, where reversal of motion is required, a normal actuator has to spend energy to accelerate as well as to decelerate(braking). During braking phase, a normal actuator, without any energy storage mechanism, dissipates energy. Ubiquitous presence of compliance in biological actuation system can store some energy which otherwise get dissipated. Fishes are evolved to tune their compliant joint stiffness according to the swimming conditions. The elastic joint(contributed by compliant muscle) can store energy in part of a cycle during fin oscillation and interaction with surrounding fluid in the form of potential energy and can release in next part of the cycle. This article investigates the role of compliance in the fin joint on propulsion performance through simulations. The analysis considers a rigid body model of trapezoidal flat fin with elastic joint and presents hydrodynamic force modeling for interacting fluid in Newton-Euler rigid body framework using blade element technique.
{"title":"An investigation on the performance of an oscillating flat plate fin with compliant joint for underwater robotic actuation","authors":"N. Reddy, Soumen Sen, S. N. Shome","doi":"10.1109/CMI.2016.7413739","DOIUrl":"https://doi.org/10.1109/CMI.2016.7413739","url":null,"abstract":"Fishes are very good swimmers possessing impeccable maneuverability, efficiency, and stealth. Understanding the fish propulsion and mimicking the same is important in obtaining improved performance by non-conventional types of underwater robot/vehicle actuators. The role of the caudal fin in fish locomotion is predominant at higher swimming speeds producing most of the thrust force. Generally the fin motions are oscillatory in nature. In oscillatory trajectories, where reversal of motion is required, a normal actuator has to spend energy to accelerate as well as to decelerate(braking). During braking phase, a normal actuator, without any energy storage mechanism, dissipates energy. Ubiquitous presence of compliance in biological actuation system can store some energy which otherwise get dissipated. Fishes are evolved to tune their compliant joint stiffness according to the swimming conditions. The elastic joint(contributed by compliant muscle) can store energy in part of a cycle during fin oscillation and interaction with surrounding fluid in the form of potential energy and can release in next part of the cycle. This article investigates the role of compliance in the fin joint on propulsion performance through simulations. The analysis considers a rigid body model of trapezoidal flat fin with elastic joint and presents hydrodynamic force modeling for interacting fluid in Newton-Euler rigid body framework using blade element technique.","PeriodicalId":244262,"journal":{"name":"2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI)","volume":"27 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":"127661728","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}
Pub Date : 1900-01-01DOI: 10.1109/CMI.2016.7413704
Koustav Dasgupta, Sumit Banerjee, C. K. Chanda
Economic Load Dispatch (ELD) is one of the important optimization problem in advanced power system and control. In this paper, six and fifteen generating units in ELD problem has been considered. Prohibited zone and ramp rate limit constraints has been also considered. ELD problem has been solved using three types of optimization techniques. These optimization techniques are Particle Swarm Optimization (PSO), Particle Swarm Optimization with Constriction Factor and Inertia Weight factor Approach (PSOCFIWA) and Time Varying Acceleration Based Particle Swarm Optimization with Constriction Factor and Inertia Weight factor Approach (TVAC-PSOCFIWA) algorithms. Optimum result of each optimization techniques have been compared.
{"title":"Economic load dispatch with prohibited zone and ramp-rate limit constraints — A comparative study","authors":"Koustav Dasgupta, Sumit Banerjee, C. K. Chanda","doi":"10.1109/CMI.2016.7413704","DOIUrl":"https://doi.org/10.1109/CMI.2016.7413704","url":null,"abstract":"Economic Load Dispatch (ELD) is one of the important optimization problem in advanced power system and control. In this paper, six and fifteen generating units in ELD problem has been considered. Prohibited zone and ramp rate limit constraints has been also considered. ELD problem has been solved using three types of optimization techniques. These optimization techniques are Particle Swarm Optimization (PSO), Particle Swarm Optimization with Constriction Factor and Inertia Weight factor Approach (PSOCFIWA) and Time Varying Acceleration Based Particle Swarm Optimization with Constriction Factor and Inertia Weight factor Approach (TVAC-PSOCFIWA) algorithms. Optimum result of each optimization techniques have been compared.","PeriodicalId":244262,"journal":{"name":"2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI)","volume":"31 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":"130122708","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}
Pub Date : 1900-01-01DOI: 10.1109/CMI.2016.7413754
Parth Sarathi Panigrahy, P. Konar, P. Chattopadhyay
Data driven approaches are gaining popularity in the field of condition monitoring due to their knowledge based fault identification capability for wide range of motor operation. Particularly the method, based on mining the data can encompass the wide behavioral operation of induction motor drive system in industries. Therefore, appropriate low cost instrumentation embedding an efficient algorithm becomes the industrial demand for fault diagnosis of induction motor drive. A hardware friendly algorithm for multi-class fault diagnosis by applying data mining technique is proposed in this paper. Most frequently associated faults like bearing fault, stator inter-turn fault, broken rotor bar fault are investigated for a drive fed induction motor. Discrete wavelet transform-Inverse discrete wavelet transform (DWT-IDWT) algorithm is used to obtain the unique characteristics from each synthesized sub-band and these filtered signals are exploited for feature extraction. A feature selection technique based on Genetic Algorithm (GA) is utilized to identify the potential features for reducing the dimensionality of the feature space. The use of smallest length filter of 2 coefficients (db1) for DWT-IDWT algorithm and 6 relevant features has made the proposed algorithm computationally efficient. The classification accuracy for the investigated multiple faults are found to be quite appreciable. Further, a comparative study is also done using different classifiers: k-NN, MLP and RBF.
{"title":"Application of data mining in fault diagnosis of induction motor","authors":"Parth Sarathi Panigrahy, P. Konar, P. Chattopadhyay","doi":"10.1109/CMI.2016.7413754","DOIUrl":"https://doi.org/10.1109/CMI.2016.7413754","url":null,"abstract":"Data driven approaches are gaining popularity in the field of condition monitoring due to their knowledge based fault identification capability for wide range of motor operation. Particularly the method, based on mining the data can encompass the wide behavioral operation of induction motor drive system in industries. Therefore, appropriate low cost instrumentation embedding an efficient algorithm becomes the industrial demand for fault diagnosis of induction motor drive. A hardware friendly algorithm for multi-class fault diagnosis by applying data mining technique is proposed in this paper. Most frequently associated faults like bearing fault, stator inter-turn fault, broken rotor bar fault are investigated for a drive fed induction motor. Discrete wavelet transform-Inverse discrete wavelet transform (DWT-IDWT) algorithm is used to obtain the unique characteristics from each synthesized sub-band and these filtered signals are exploited for feature extraction. A feature selection technique based on Genetic Algorithm (GA) is utilized to identify the potential features for reducing the dimensionality of the feature space. The use of smallest length filter of 2 coefficients (db1) for DWT-IDWT algorithm and 6 relevant features has made the proposed algorithm computationally efficient. The classification accuracy for the investigated multiple faults are found to be quite appreciable. Further, a comparative study is also done using different classifiers: k-NN, MLP and RBF.","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":"130869745","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}
Pub Date : 1900-01-01DOI: 10.1109/CMI.2016.7413703
Priyanka Bera, Rajarshi Gupta
Electrocardiogram (ECG) compression for patient monitoring is a pre-requisite for efficient utilization of the communication link. Few recent works using delta encoding adopted fixed length symbols were analyzed, and we found that their bits per sample efficiency (BPS) is low, specially in low slope regions of ECG wave. For real-time tele-monitoring, this may lower the link throughput. This paper describes a real-time, lossy ECG compression algorithm based on delta encoding using variable length symbols. For this, the zonal complexity and inter-sample slope was estimated in a fixed length block of 52 samples. Each block was attributed as `complex', `semi-complex' and `plain' by comparing the local measures with global ones, which were continuously updated. The encoder performs a dynamic bit allocation (DBA) algorithm for each block of ECG samples to optimize the BPS efficiency. The algorithms were tested on simulation platform with single lead ECG record from MIT BIH compression test data (cdb) and MIT BIH arrhythmia database (mitdb) at 10 bit quantization level, yielding an average BPS of 1.92 with cdb and 1.91 with mitbdb, and low PRD (1.87 and 2.42 respectively with cdb and mitdb).
{"title":"Real-time compression of electrocardiogram using dynamic bit allocation strategy","authors":"Priyanka Bera, Rajarshi Gupta","doi":"10.1109/CMI.2016.7413703","DOIUrl":"https://doi.org/10.1109/CMI.2016.7413703","url":null,"abstract":"Electrocardiogram (ECG) compression for patient monitoring is a pre-requisite for efficient utilization of the communication link. Few recent works using delta encoding adopted fixed length symbols were analyzed, and we found that their bits per sample efficiency (BPS) is low, specially in low slope regions of ECG wave. For real-time tele-monitoring, this may lower the link throughput. This paper describes a real-time, lossy ECG compression algorithm based on delta encoding using variable length symbols. For this, the zonal complexity and inter-sample slope was estimated in a fixed length block of 52 samples. Each block was attributed as `complex', `semi-complex' and `plain' by comparing the local measures with global ones, which were continuously updated. The encoder performs a dynamic bit allocation (DBA) algorithm for each block of ECG samples to optimize the BPS efficiency. The algorithms were tested on simulation platform with single lead ECG record from MIT BIH compression test data (cdb) and MIT BIH arrhythmia database (mitdb) at 10 bit quantization level, yielding an average BPS of 1.92 with cdb and 1.91 with mitbdb, and low PRD (1.87 and 2.42 respectively with cdb and mitdb).","PeriodicalId":244262,"journal":{"name":"2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI)","volume":"131 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":"114362302","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}
Pub Date : 1900-01-01DOI: 10.1109/CMI.2016.7413751
Avisek Naug, Spandan Basu, Arghya Bhattacharya, K. Sanyal
This The M curves, force vs. phase curves for gait analysis, are utilized for obtaining variation of voltage output during different stages of the gait cycle. The proposed method in this paper suggests a novel technique by calibration of the voltage and draws an inference on the health of human limb. The linearized calibration curve of the low hysteresis measuring instrument, is taken to our advantage in this measurement technique. An equivalent interpretation is arrived at from the voltage variation pattern analogous (proportional) to the load pattern. Ultimately comparative condition monitoring is performed using the voltage level as the new parameter to differentiate between a healthy and an unhealthy limb.
{"title":"Qualitative conditional assessment of human limb using force masking technique with a strain gauge setup","authors":"Avisek Naug, Spandan Basu, Arghya Bhattacharya, K. Sanyal","doi":"10.1109/CMI.2016.7413751","DOIUrl":"https://doi.org/10.1109/CMI.2016.7413751","url":null,"abstract":"This The M curves, force vs. phase curves for gait analysis, are utilized for obtaining variation of voltage output during different stages of the gait cycle. The proposed method in this paper suggests a novel technique by calibration of the voltage and draws an inference on the health of human limb. The linearized calibration curve of the low hysteresis measuring instrument, is taken to our advantage in this measurement technique. An equivalent interpretation is arrived at from the voltage variation pattern analogous (proportional) to the load pattern. Ultimately comparative condition monitoring is performed using the voltage level as the new parameter to differentiate between a healthy and an unhealthy limb.","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":"127815737","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}
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