Pub Date : 2017-04-01DOI: 10.1109/IEMENTECH.2017.8076981
Rajat Modi, Naman Garg, H. Parthasarathy
The aim of this paper is to hide a Stego Image inside a background Image by compressing the stego sufficiently and then causing its wavelet coefficients to occupy a higher resolution index than the background image. We then transmit such an image through a noisy channel to a receiver which decodes the Stego from the background by exploiting the orthogonality of the two types of wavelet coefficients. The wavelet coefficient of the stego and background image a re defined in a region of zero overlap. Performance analysis in terms of noise correlation is obtained. The Noise to Signal Ratio(NSR) shows good values i.e. <<1.
{"title":"Steganography using wavelets with statistical performance analysis","authors":"Rajat Modi, Naman Garg, H. Parthasarathy","doi":"10.1109/IEMENTECH.2017.8076981","DOIUrl":"https://doi.org/10.1109/IEMENTECH.2017.8076981","url":null,"abstract":"The aim of this paper is to hide a Stego Image inside a background Image by compressing the stego sufficiently and then causing its wavelet coefficients to occupy a higher resolution index than the background image. We then transmit such an image through a noisy channel to a receiver which decodes the Stego from the background by exploiting the orthogonality of the two types of wavelet coefficients. The wavelet coefficient of the stego and background image a re defined in a region of zero overlap. Performance analysis in terms of noise correlation is obtained. The Noise to Signal Ratio(NSR) shows good values i.e. <<1.","PeriodicalId":411574,"journal":{"name":"2017 1st International Conference on Electronics, Materials Engineering and Nano-Technology (IEMENTech)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128725773","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 : 2017-04-01DOI: 10.1109/IEMENTECH.2017.8076996
S. Chatterjee, Sreshtha Ray, Swaham Dutta, J. S. Roy
Cognitive Radio is a promising technology to improve the spectrum exploitation and spectrum sensing is one of the key functionality for cognitive radio (CR) systems to operate in the available spectrum holes. To guard the primary users present in any spectrum from any interference, the CR should be able enough detect incumbent signals even at very low signal-to-noise ratio (SNR). In this paper, different spectrum sensing parameters like bit error probability (BEP), probability of detection, probability of false alarm are optimized under low SNR scenario using a demand and need based genetic algorithm(GA), taking the geographical variations of the spectrum holes in consideration. The results shows that the GA worked well and provides a better real life solution to the cognitive radio network.
{"title":"Performance analysis of spectrum sensing in cognitive radio at low SNR environment","authors":"S. Chatterjee, Sreshtha Ray, Swaham Dutta, J. S. Roy","doi":"10.1109/IEMENTECH.2017.8076996","DOIUrl":"https://doi.org/10.1109/IEMENTECH.2017.8076996","url":null,"abstract":"Cognitive Radio is a promising technology to improve the spectrum exploitation and spectrum sensing is one of the key functionality for cognitive radio (CR) systems to operate in the available spectrum holes. To guard the primary users present in any spectrum from any interference, the CR should be able enough detect incumbent signals even at very low signal-to-noise ratio (SNR). In this paper, different spectrum sensing parameters like bit error probability (BEP), probability of detection, probability of false alarm are optimized under low SNR scenario using a demand and need based genetic algorithm(GA), taking the geographical variations of the spectrum holes in consideration. The results shows that the GA worked well and provides a better real life solution to the cognitive radio network.","PeriodicalId":411574,"journal":{"name":"2017 1st International Conference on Electronics, Materials Engineering and Nano-Technology (IEMENTech)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117017145","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 : 2017-04-01DOI: 10.1109/IEMENTECH.2017.8076937
A. Das, Madhab Roy, D. Patil, Koyel Bhattacharya, D. Roy, S. Bhattacharya
The Glass nanocomposite materials in the form of fine granular powders were synthesized by conventional melt quenching technique. Thick films of the synthesized powders were fabricated by screen printing technique, followed by firing at 100oC, for 2 hours. Upon exposure to 50 ppm ethanol gas, due to oxidation or reduction reaction at the surface of the as prepared nanocomposite materials with the target gas, exchange of electrons take place thereby affecting the sensor's resistance greatly leading to drastic change in conductance. The glass nanocomposite of composition xV2O5-(1−x) (0.05MoO3-0.95ZnO) where x = 0.95 (sample-C) was observed to most sensitive to ethanol at room temperature. The surface misfits, operating temperature, gas concentrations, etc. affect the microstructure and gas sensing performance of the sensing element. The quick response and fast recovery are the main features of this sensor. The microstructure of the as prepared glass nanocomposites was analyzed to study the gas response and selectivity of the sensor in the presence of ethanol and some other gases also.
{"title":"V2O5-MoO3-ZnO thick film resistors as highly selective trace level ethanol gas sensors","authors":"A. Das, Madhab Roy, D. Patil, Koyel Bhattacharya, D. Roy, S. Bhattacharya","doi":"10.1109/IEMENTECH.2017.8076937","DOIUrl":"https://doi.org/10.1109/IEMENTECH.2017.8076937","url":null,"abstract":"The Glass nanocomposite materials in the form of fine granular powders were synthesized by conventional melt quenching technique. Thick films of the synthesized powders were fabricated by screen printing technique, followed by firing at 100oC, for 2 hours. Upon exposure to 50 ppm ethanol gas, due to oxidation or reduction reaction at the surface of the as prepared nanocomposite materials with the target gas, exchange of electrons take place thereby affecting the sensor's resistance greatly leading to drastic change in conductance. The glass nanocomposite of composition xV2O5-(1−x) (0.05MoO3-0.95ZnO) where x = 0.95 (sample-C) was observed to most sensitive to ethanol at room temperature. The surface misfits, operating temperature, gas concentrations, etc. affect the microstructure and gas sensing performance of the sensing element. The quick response and fast recovery are the main features of this sensor. The microstructure of the as prepared glass nanocomposites was analyzed to study the gas response and selectivity of the sensor in the presence of ethanol and some other gases also.","PeriodicalId":411574,"journal":{"name":"2017 1st International Conference on Electronics, Materials Engineering and Nano-Technology (IEMENTech)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124058233","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 : 2017-04-01DOI: 10.1109/IEMENTECH.2017.8077018
N. Ajithkumar, P. Aswathi, R. R. Bhavani
The Robot based landmine detection problem is a multiphase problem in which one element is the classification of landmines and clutter. To design an efficient and effective classification model requires considering factors such as the failure to detect a landmine, detection time and the high amount of false alarms that occur due of improper classification. In the absence of an extensive analysis on the effectiveness of such models, this project aims to analyze 5 different classifiers namely: Hidden Markov Model, Support Vector Machine, Artificial Neural Network, Gradient Boosted Decision Tree and Adaptive Boosted Decision trees. Two GPR based datasets have been used both of which are open source and contain data for foliage and dry, desert type soils respectively. To make the study comprehensive in terms of class label proportion as well, various ratios of mine to non-mine data is considered. The comparison of the models has been done using confusion matrices with its associated measures. Based on this, a selection table has been designed which allows the user to select the classifier that is most likely to give the best performance with respect to a preferred metric and available training dataset that a user prefers to use for training.
{"title":"Identification of an effective learning approach to landmine detection","authors":"N. Ajithkumar, P. Aswathi, R. R. Bhavani","doi":"10.1109/IEMENTECH.2017.8077018","DOIUrl":"https://doi.org/10.1109/IEMENTECH.2017.8077018","url":null,"abstract":"The Robot based landmine detection problem is a multiphase problem in which one element is the classification of landmines and clutter. To design an efficient and effective classification model requires considering factors such as the failure to detect a landmine, detection time and the high amount of false alarms that occur due of improper classification. In the absence of an extensive analysis on the effectiveness of such models, this project aims to analyze 5 different classifiers namely: Hidden Markov Model, Support Vector Machine, Artificial Neural Network, Gradient Boosted Decision Tree and Adaptive Boosted Decision trees. Two GPR based datasets have been used both of which are open source and contain data for foliage and dry, desert type soils respectively. To make the study comprehensive in terms of class label proportion as well, various ratios of mine to non-mine data is considered. The comparison of the models has been done using confusion matrices with its associated measures. Based on this, a selection table has been designed which allows the user to select the classifier that is most likely to give the best performance with respect to a preferred metric and available training dataset that a user prefers to use for training.","PeriodicalId":411574,"journal":{"name":"2017 1st International Conference on Electronics, Materials Engineering and Nano-Technology (IEMENTech)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126752390","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 : 2017-04-01DOI: 10.1109/IEMENTECH.2017.8076926
S. Srivastava, A. Chatterjee, S. Kumari, A. Prasad, D. Bashistha, C. Ghosh, S. Moitra
In this paper a novel Substrate Integrated Waveguide(SIW) filter has been proposed, bended with 150° angle and loaded with cylindrical iris for obtaining the filtering characteristic in the range of Ku band. 150°bend within the SIW structure is provided to facilitate its integration ability over planar Microwave Integrated Circuits (MICs). Several configurations of iris are analysed for obtaining the pass band near about 1 GHz (15.5GHz to 16.5GHz) with minimum insertion loss (IL< 1.2dB). The proposed filters are designed over a material with dielectric constant of 3.2 and thickness of 0.8 mm. The effect on transmission bandwidth as well as stopband attenuation due to different iris configurations are also presented with parametric analysis.
{"title":"Bandpass filter (BPF) design using waveguide iris conformation over Substrate Integrated Waveguide (SIW) Bend","authors":"S. Srivastava, A. Chatterjee, S. Kumari, A. Prasad, D. Bashistha, C. Ghosh, S. Moitra","doi":"10.1109/IEMENTECH.2017.8076926","DOIUrl":"https://doi.org/10.1109/IEMENTECH.2017.8076926","url":null,"abstract":"In this paper a novel Substrate Integrated Waveguide(SIW) filter has been proposed, bended with 150° angle and loaded with cylindrical iris for obtaining the filtering characteristic in the range of Ku band. 150°bend within the SIW structure is provided to facilitate its integration ability over planar Microwave Integrated Circuits (MICs). Several configurations of iris are analysed for obtaining the pass band near about 1 GHz (15.5GHz to 16.5GHz) with minimum insertion loss (IL< 1.2dB). The proposed filters are designed over a material with dielectric constant of 3.2 and thickness of 0.8 mm. The effect on transmission bandwidth as well as stopband attenuation due to different iris configurations are also presented with parametric analysis.","PeriodicalId":411574,"journal":{"name":"2017 1st International Conference on Electronics, Materials Engineering and Nano-Technology (IEMENTech)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134129952","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 : 2017-04-01DOI: 10.1109/IEMENTECH.2017.8077010
Tarak Das, Tapas Kr. Dawn, Pratik Das, Piyali Basak
Human Respiration rate is measured for Clinical investigation of lungs for different diagnostic purposes. Human respiration rate can be measured by different methods that involves Piezoelectric Sensor, Laser Doppler Vibrometer & by using Pyroelectric Transducer, Impedance Pneumography Method, Capnography and PPG (Photo plethysmography) signal. However, all of these techniques are very cost effective. Whereas apnea that is loss of breathing, mainly during sleep, termed as sleep apnea. By different clinical investigation it has been observed that sleep apnea have the following risk factors e.g. excessive weight, enlarge tonsils or tongue, small jaw bone, gastro esophageal reflux, sinus problem and it also associated with heart disorder and stroke. We have designed a new system that can measure respiration rate and can also detect Apnea present in human beings by using NTC (Negative Temperature Coefficient) type thermistor, Wheatstone bridge, a differential amplifier (using IC-741) and a modifying pulse delay circuit. This system can be used to detect apnea along with display of its waveform in a computer screen. In this system the output signals are taken out and after performing some impedance matching it is used as audio input to a computer. A freely available software Audacity (latest version 2.1.3) downloaded from internet and installed to the computer for observing the waveform of the output signal. From this response, doctors can easily detect whether there are presence of apnea or not. The used thermistor is highly sensitive which changes it resistance −7KΩ per degree centigrade rise in temperature.
{"title":"Design of low cost apnea detector by modifying a simple pulse delay circuit interfacing with computer with audio input by freely available audio software","authors":"Tarak Das, Tapas Kr. Dawn, Pratik Das, Piyali Basak","doi":"10.1109/IEMENTECH.2017.8077010","DOIUrl":"https://doi.org/10.1109/IEMENTECH.2017.8077010","url":null,"abstract":"Human Respiration rate is measured for Clinical investigation of lungs for different diagnostic purposes. Human respiration rate can be measured by different methods that involves Piezoelectric Sensor, Laser Doppler Vibrometer & by using Pyroelectric Transducer, Impedance Pneumography Method, Capnography and PPG (Photo plethysmography) signal. However, all of these techniques are very cost effective. Whereas apnea that is loss of breathing, mainly during sleep, termed as sleep apnea. By different clinical investigation it has been observed that sleep apnea have the following risk factors e.g. excessive weight, enlarge tonsils or tongue, small jaw bone, gastro esophageal reflux, sinus problem and it also associated with heart disorder and stroke. We have designed a new system that can measure respiration rate and can also detect Apnea present in human beings by using NTC (Negative Temperature Coefficient) type thermistor, Wheatstone bridge, a differential amplifier (using IC-741) and a modifying pulse delay circuit. This system can be used to detect apnea along with display of its waveform in a computer screen. In this system the output signals are taken out and after performing some impedance matching it is used as audio input to a computer. A freely available software Audacity (latest version 2.1.3) downloaded from internet and installed to the computer for observing the waveform of the output signal. From this response, doctors can easily detect whether there are presence of apnea or not. The used thermistor is highly sensitive which changes it resistance −7KΩ per degree centigrade rise in temperature.","PeriodicalId":411574,"journal":{"name":"2017 1st International Conference on Electronics, Materials Engineering and Nano-Technology (IEMENTech)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131901504","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 : 2017-04-01DOI: 10.1109/IEMENTECH.2017.8077019
R. Pillai, Saffron Anas, A.S. Ali, O. Jameel
The paper presents a novel design of compliant soft mobile robot using shape memory alloy. This paper also demonstrates the capability of shape memory alloy (Ni-Ti) as an actuator for a micro robot. Soft robots provide better flexibility and softness which increases the range of locomotion and their capability in complex environment. The robot presented in the paper has 60X50X50 mm dimension. Shape memory alloy actuators were chosen because of its high power to weight ratio and gearless mechanism. The structure of the robot has two disc connected with six SMA in parallel. The four SMA used are 0.2mm diameter memorized to coil shape and the other two are 0.375mm diameter memorized to straight shape. The actuation of these two different sets of SMA with proper control were able to give an antagonistic locomotion. The locomotion was made in one direction using the method of differential friction where an additional gripper at the end was given with different adhesive material. The tension or pull force due to connecting wires of the SMA was compensated using a roller like mechanism. Hence taking benefit from the actuation of shape memory alloy, we present a novel soft robot prototype that utilizes bio-inspired antagonistic actuation for its locomotion.
{"title":"Design, development and locomotion control of compliant soft mobile robot","authors":"R. Pillai, Saffron Anas, A.S. Ali, O. Jameel","doi":"10.1109/IEMENTECH.2017.8077019","DOIUrl":"https://doi.org/10.1109/IEMENTECH.2017.8077019","url":null,"abstract":"The paper presents a novel design of compliant soft mobile robot using shape memory alloy. This paper also demonstrates the capability of shape memory alloy (Ni-Ti) as an actuator for a micro robot. Soft robots provide better flexibility and softness which increases the range of locomotion and their capability in complex environment. The robot presented in the paper has 60X50X50 mm dimension. Shape memory alloy actuators were chosen because of its high power to weight ratio and gearless mechanism. The structure of the robot has two disc connected with six SMA in parallel. The four SMA used are 0.2mm diameter memorized to coil shape and the other two are 0.375mm diameter memorized to straight shape. The actuation of these two different sets of SMA with proper control were able to give an antagonistic locomotion. The locomotion was made in one direction using the method of differential friction where an additional gripper at the end was given with different adhesive material. The tension or pull force due to connecting wires of the SMA was compensated using a roller like mechanism. Hence taking benefit from the actuation of shape memory alloy, we present a novel soft robot prototype that utilizes bio-inspired antagonistic actuation for its locomotion.","PeriodicalId":411574,"journal":{"name":"2017 1st International Conference on Electronics, Materials Engineering and Nano-Technology (IEMENTech)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133279747","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 : 2017-04-01DOI: 10.1109/IEMENTECH.2017.8077020
Bibek Patra, S. Nandy
Lawn mower trajectory tracking by a wheeled mobile robot, which is a nonholonomic system, is a challenging task. The study of this kind of trajectory is essential for precise survey, lawn mowing and other applications. Lawn mower trajectories can be generated by various ways. A continuous function of lawn mower path is an approximated lawn mower and may not be useful for prospective applications. So in this paper, an ideal lawn mower path (discontinuous in nature), which is a combination of straight lines and circular segments are designed, explained and compared with the continuous lawn mower path, already reported in the literature. A feedback linearization controller is designed by choosing proper output functions to track both kind of lawn mower trajectories. During trajectory tracking with both the paths, robots dynamic characteristics like wheel torques, angular velocity and position of wheels are studied in a greater length. The simulations are performed using the physical parameters of a real wheeled mobile robot. Some satisfactory results are observed and reflected in this research article. Research finding is that, choice of continuous (approximated) or discontinuous (ideal) lawn mower paths will be depended on the actuators instantaneous torque capabilities as well as application requirements of the robotic system.
{"title":"Lawn mower trajectory tracking by wheeled mobile robot: Its consequences","authors":"Bibek Patra, S. Nandy","doi":"10.1109/IEMENTECH.2017.8077020","DOIUrl":"https://doi.org/10.1109/IEMENTECH.2017.8077020","url":null,"abstract":"Lawn mower trajectory tracking by a wheeled mobile robot, which is a nonholonomic system, is a challenging task. The study of this kind of trajectory is essential for precise survey, lawn mowing and other applications. Lawn mower trajectories can be generated by various ways. A continuous function of lawn mower path is an approximated lawn mower and may not be useful for prospective applications. So in this paper, an ideal lawn mower path (discontinuous in nature), which is a combination of straight lines and circular segments are designed, explained and compared with the continuous lawn mower path, already reported in the literature. A feedback linearization controller is designed by choosing proper output functions to track both kind of lawn mower trajectories. During trajectory tracking with both the paths, robots dynamic characteristics like wheel torques, angular velocity and position of wheels are studied in a greater length. The simulations are performed using the physical parameters of a real wheeled mobile robot. Some satisfactory results are observed and reflected in this research article. Research finding is that, choice of continuous (approximated) or discontinuous (ideal) lawn mower paths will be depended on the actuators instantaneous torque capabilities as well as application requirements of the robotic system.","PeriodicalId":411574,"journal":{"name":"2017 1st International Conference on Electronics, Materials Engineering and Nano-Technology (IEMENTech)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116041748","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 : 2017-04-01DOI: 10.1109/IEMENTECH.2017.8076984
Tarak Das, Arijit Ghosh, S. Guha, Piyali Basak
The autonomic nervous system is highly affected by the Diabetic Autonomic Neuropathy (DAN) which can also change various metabolic transitions. This causes changes in heart rate as well as in skin impedance. The objective of this work is to determine the impact of Diabetes on Heart Rate Variability (HRV) and skin impedance changes. The galvanic skin resistance or skin impedance measurement and heart rate variability analysis acts as markers for the detection of diabetes. As the heart rate variability is not able predict the diabetes at early stage we are experimenting to detect the diabetes at early stage by using the bio impedance method. For skin impedance measurement we measure galvanic skin response of 11 diabetic patients and 8 normal controls and for heart rate variability analysis we acquire ECG signals from 20 normal controls and 20 diabetic patients. Our study proposes a method based on features on galvanic skin response (GSR) such as Welch's Power spectral density estimation. To classify GSR signals we use Artificial Neural Network (ANN) algorithm, which gives an accuracy of 100%. We have also seen that there is a significant reduction in various parameters associated to Heart Rate Variability (HRV) with the development of diabetes mellitus. The HRV is analyzed using Kubios software (version 2.2). This paper proposes a design for a novel non-invasive glucose monitoring system based on the principle of skin impedance spectrogram and heart rate variability analysis.
{"title":"Early detection of diabetes based on skin impedance spectrogram and heart rate variability noninvasively","authors":"Tarak Das, Arijit Ghosh, S. Guha, Piyali Basak","doi":"10.1109/IEMENTECH.2017.8076984","DOIUrl":"https://doi.org/10.1109/IEMENTECH.2017.8076984","url":null,"abstract":"The autonomic nervous system is highly affected by the Diabetic Autonomic Neuropathy (DAN) which can also change various metabolic transitions. This causes changes in heart rate as well as in skin impedance. The objective of this work is to determine the impact of Diabetes on Heart Rate Variability (HRV) and skin impedance changes. The galvanic skin resistance or skin impedance measurement and heart rate variability analysis acts as markers for the detection of diabetes. As the heart rate variability is not able predict the diabetes at early stage we are experimenting to detect the diabetes at early stage by using the bio impedance method. For skin impedance measurement we measure galvanic skin response of 11 diabetic patients and 8 normal controls and for heart rate variability analysis we acquire ECG signals from 20 normal controls and 20 diabetic patients. Our study proposes a method based on features on galvanic skin response (GSR) such as Welch's Power spectral density estimation. To classify GSR signals we use Artificial Neural Network (ANN) algorithm, which gives an accuracy of 100%. We have also seen that there is a significant reduction in various parameters associated to Heart Rate Variability (HRV) with the development of diabetes mellitus. The HRV is analyzed using Kubios software (version 2.2). This paper proposes a design for a novel non-invasive glucose monitoring system based on the principle of skin impedance spectrogram and heart rate variability analysis.","PeriodicalId":411574,"journal":{"name":"2017 1st International Conference on Electronics, Materials Engineering and Nano-Technology (IEMENTech)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130160541","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 : 2017-04-01DOI: 10.1109/IEMENTECH.2017.8076978
Shashi Kant Chaudhary, Awadhesh Kumar
This paper presents an optimal Hankel Norm Approximation technique applied to a stable non-minimal system which may be arbitrarily close to being uncontrollable and/or unobservable. The final result of the approximation of original system contains a reduced number of states and therefore must be minimal order. Numerical example has been carried out to demonstrate the procedure.
{"title":"Hankel norm approximation of a stable non-minimal system","authors":"Shashi Kant Chaudhary, Awadhesh Kumar","doi":"10.1109/IEMENTECH.2017.8076978","DOIUrl":"https://doi.org/10.1109/IEMENTECH.2017.8076978","url":null,"abstract":"This paper presents an optimal Hankel Norm Approximation technique applied to a stable non-minimal system which may be arbitrarily close to being uncontrollable and/or unobservable. The final result of the approximation of original system contains a reduced number of states and therefore must be minimal order. Numerical example has been carried out to demonstrate the procedure.","PeriodicalId":411574,"journal":{"name":"2017 1st International Conference on Electronics, Materials Engineering and Nano-Technology (IEMENTech)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130143199","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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