Pub Date : 2017-03-01DOI: 10.1109/C-CODE.2017.7918966
Imran Ahmed, U. Zabit
Self-mixing interferometry (SMI) is an attractive sensing scheme increasingly used for distance, velocity, flow and vibration sensing for applications such as rotational speed of servo drives, detection of single micro-particles in airflow, size measurement of Brownian particles, terahertz imaging etc. In order to retrieve target displacement information with sub-wavelength precision from the SMI signal, two key SMI parameters, namely optical feedback coupling factor C and line-width enhancement factor alpha need to be estimated. In this paper, we propose a fast method to jointly estimate C and alpha parameters in the context of SMI laser displacement sensor. For this purpose, we apply Newton's algorithm to quickly converge to the optimum C and alpha values. Compared to previous methods, this new method enables us to significantly reduce the computation time of parameter estimation and could play a vital role in the development of real-time self-mixing interferometric sensors with sub-wavelength precision.
{"title":"Fast estimation of feedback parameters for a self-mixing interferometric displacement sensor","authors":"Imran Ahmed, U. Zabit","doi":"10.1109/C-CODE.2017.7918966","DOIUrl":"https://doi.org/10.1109/C-CODE.2017.7918966","url":null,"abstract":"Self-mixing interferometry (SMI) is an attractive sensing scheme increasingly used for distance, velocity, flow and vibration sensing for applications such as rotational speed of servo drives, detection of single micro-particles in airflow, size measurement of Brownian particles, terahertz imaging etc. In order to retrieve target displacement information with sub-wavelength precision from the SMI signal, two key SMI parameters, namely optical feedback coupling factor C and line-width enhancement factor alpha need to be estimated. In this paper, we propose a fast method to jointly estimate C and alpha parameters in the context of SMI laser displacement sensor. For this purpose, we apply Newton's algorithm to quickly converge to the optimum C and alpha values. Compared to previous methods, this new method enables us to significantly reduce the computation time of parameter estimation and could play a vital role in the development of real-time self-mixing interferometric sensors with sub-wavelength precision.","PeriodicalId":344222,"journal":{"name":"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122950618","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 : 2017-03-01DOI: 10.1109/C-CODE.2017.7918906
R. A. Shah, B. S. Chowdhary, Sonia Shah, Sunder Ali Khowaja
User localization in wireless sensor networks have been given a great attention in recent times and also considered to be one of the promising applications. Many approaches for the same have been proposed based on range based and range free mechanisms for localizing the user. Similarly, tracking the user in a sensor field has also been given equal importance in association with localization. Techniques employing both these methods are mostly based on static anchor nodes or scheduling system which compromises on the lifetime of wireless sensor network. Considering the constraint of network lifetime this paper proposes localizing and tracking method with an activation scheme for tracking the mobile node efficiently while increasing the network lifetime. The system has been tested on two scenarios suggesting that the proposed method can provide the flexibility to the system which could be adjusted with reference to the user requirements. The first scenario suggests that all the nodes are activated only when the mobile user enters but as the user is localized all the nodes will get deactivated except the concerned nodes. The second scenario suggests that a predefined deployment strategy is provided with only 10% of activated nodes. The experimental results show that the proposed system achieves a better trade-off in terms of accuracy and computational complexity for single mobile node tracking.
{"title":"Energy efficient mobile user tracking system with node activation mechanism using wireless sensor networks","authors":"R. A. Shah, B. S. Chowdhary, Sonia Shah, Sunder Ali Khowaja","doi":"10.1109/C-CODE.2017.7918906","DOIUrl":"https://doi.org/10.1109/C-CODE.2017.7918906","url":null,"abstract":"User localization in wireless sensor networks have been given a great attention in recent times and also considered to be one of the promising applications. Many approaches for the same have been proposed based on range based and range free mechanisms for localizing the user. Similarly, tracking the user in a sensor field has also been given equal importance in association with localization. Techniques employing both these methods are mostly based on static anchor nodes or scheduling system which compromises on the lifetime of wireless sensor network. Considering the constraint of network lifetime this paper proposes localizing and tracking method with an activation scheme for tracking the mobile node efficiently while increasing the network lifetime. The system has been tested on two scenarios suggesting that the proposed method can provide the flexibility to the system which could be adjusted with reference to the user requirements. The first scenario suggests that all the nodes are activated only when the mobile user enters but as the user is localized all the nodes will get deactivated except the concerned nodes. The second scenario suggests that a predefined deployment strategy is provided with only 10% of activated nodes. The experimental results show that the proposed system achieves a better trade-off in terms of accuracy and computational complexity for single mobile node tracking.","PeriodicalId":344222,"journal":{"name":"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115033485","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 : 2017-03-01DOI: 10.1109/C-CODE.2017.7918953
A. Tariq, A. Zahid, U. Khan, Naeem Khan, Faheem Khan
In this paper, measurement of the heart rate and respiration rate using Wavelet transform has been discussed. As the existing schemes including Fourier transform are not suitable for non-stationary data [13], Wavelet transform is however an alternative remedy. Emphasis has been made on the main issue of extracting spectral information using wavelet transform in this paper. Strategy has been proposed to trace the scale at which the Wavelet coefficients have maximum energy spectral density. These scales are used to find the respiration rate and heart rate through scales-to-frequency correspondence graph. Achieving time localization and spectral information simultaneously is the main contribution of this paper.
{"title":"Implementation of Wavelet transform for monitoring of vital signs through IR-UWB Radar","authors":"A. Tariq, A. Zahid, U. Khan, Naeem Khan, Faheem Khan","doi":"10.1109/C-CODE.2017.7918953","DOIUrl":"https://doi.org/10.1109/C-CODE.2017.7918953","url":null,"abstract":"In this paper, measurement of the heart rate and respiration rate using Wavelet transform has been discussed. As the existing schemes including Fourier transform are not suitable for non-stationary data [13], Wavelet transform is however an alternative remedy. Emphasis has been made on the main issue of extracting spectral information using wavelet transform in this paper. Strategy has been proposed to trace the scale at which the Wavelet coefficients have maximum energy spectral density. These scales are used to find the respiration rate and heart rate through scales-to-frequency correspondence graph. Achieving time localization and spectral information simultaneously is the main contribution of this paper.","PeriodicalId":344222,"journal":{"name":"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)","volume":"26 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113933653","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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