Pub Date : 2019-10-01DOI: 10.1109/TENCON.2019.8929312
K. M. Sreedivya, P. Jeyanthy, D. Devaraj
The paper presents an optimal tuned Sliding Mode Controlled Power System Stabilizer (SMC-PSS) for small signal stability enhancement by damping the low frequency oscillations. The sliding mode control is one of the best techniques for controlling a system, under uncertainties. In power system, the chances of load fluctuations and perturbations are very common. In the proposed scheme, the design of a chattering free, high gain controlled, optimal tuned Sliding Mode Controlled Power System Stabilizer is suggested for damping the low frequency oscillations due to imbalance in loading and generation. In addition, optimal tuning of the parameters in sliding mode controller is done, to reduce the high gain problem, in the design of PSS. The proposed design has been tested in Multi machine system under different operating conditions. The comparison of the proposed design has been performed with Lead Lag PSS, Classic SMC PSS design. By analysing the time simulation results and stability performance, it is evident that Optimal tuned SMC-PSS has produced a better performance compared with Conventional Stabilizer Design.
{"title":"Design of an Optimal tuned Sliding Mode Controlled Power System Stabilizer for Stability Enhancement by Damping the Low Frequency Oscillations","authors":"K. M. Sreedivya, P. Jeyanthy, D. Devaraj","doi":"10.1109/TENCON.2019.8929312","DOIUrl":"https://doi.org/10.1109/TENCON.2019.8929312","url":null,"abstract":"The paper presents an optimal tuned Sliding Mode Controlled Power System Stabilizer (SMC-PSS) for small signal stability enhancement by damping the low frequency oscillations. The sliding mode control is one of the best techniques for controlling a system, under uncertainties. In power system, the chances of load fluctuations and perturbations are very common. In the proposed scheme, the design of a chattering free, high gain controlled, optimal tuned Sliding Mode Controlled Power System Stabilizer is suggested for damping the low frequency oscillations due to imbalance in loading and generation. In addition, optimal tuning of the parameters in sliding mode controller is done, to reduce the high gain problem, in the design of PSS. The proposed design has been tested in Multi machine system under different operating conditions. The comparison of the proposed design has been performed with Lead Lag PSS, Classic SMC PSS design. By analysing the time simulation results and stability performance, it is evident that Optimal tuned SMC-PSS has produced a better performance compared with Conventional Stabilizer Design.","PeriodicalId":36690,"journal":{"name":"Platonic Investigations","volume":"56 1","pages":"181-186"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74385620","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 : 2019-10-01DOI: 10.1109/TENCON.2019.8929545
Raju Joarder, C. Anoop
The paper proposes a simple linear front-end circuit for grounded-type capacitive sensors. The front-end basically uses the capacitance sensor in the vertical branch of a T-network. Further, the circuit conditions the sensor using a simple circuit to obtain a linear indication of the variable part (measurand) of the capacitive sensor. The novel design of the circuit ensures that the final output is independent of the offset capacitance. The functionality of the proposed circuit is verified first using simulation studies. Further, a hardware model of the circuit was developed and tested in the laboratory. Tests were carried out for different offset capacitances and different values of variable capacitances. The circuit was found to work well as expected and the worst-case non-linearity observed in experimentation was 0.1%.
{"title":"A Linear Front-End Circuit for Offset-Affected Grounded Capacitive Sensors","authors":"Raju Joarder, C. Anoop","doi":"10.1109/TENCON.2019.8929545","DOIUrl":"https://doi.org/10.1109/TENCON.2019.8929545","url":null,"abstract":"The paper proposes a simple linear front-end circuit for grounded-type capacitive sensors. The front-end basically uses the capacitance sensor in the vertical branch of a T-network. Further, the circuit conditions the sensor using a simple circuit to obtain a linear indication of the variable part (measurand) of the capacitive sensor. The novel design of the circuit ensures that the final output is independent of the offset capacitance. The functionality of the proposed circuit is verified first using simulation studies. Further, a hardware model of the circuit was developed and tested in the laboratory. Tests were carried out for different offset capacitances and different values of variable capacitances. The circuit was found to work well as expected and the worst-case non-linearity observed in experimentation was 0.1%.","PeriodicalId":36690,"journal":{"name":"Platonic Investigations","volume":"69 1","pages":"2280-2284"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74637250","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 : 2019-10-01DOI: 10.1109/TENCON.2019.8929391
Viraf Patrawala, N. Kurian, A. Sethi
A deep learning classifier trained on a source dataset often performs poorly on a target dataset, even for the same classification task, due to the differences in the distributions of the two datasets. In histopathology, the problem of dataset bias is even more severe due to the differences in specific tissue preparation and imaging set ups across patient cohorts. With the objective of improving the generalization across datasets, we propose a set of learnable preprocessing operations – an approach that has not been extensively explored – for a supervised deep learning framework that can be trained separately or together with the rest of the neural network. Through preprocessing, the data from a target domain is transformed before being fed to a classification module trained on the source domain to increase the overlap of the former's distribution with that of the latter. Through an extensive set of experiments on histopathology and face datasets, we show the particular and general utility of the proposed preprocessing operations for domain adaptation and compare it to previous approaches.
{"title":"Improving Histopathology Classification using Learnable Preprocessing","authors":"Viraf Patrawala, N. Kurian, A. Sethi","doi":"10.1109/TENCON.2019.8929391","DOIUrl":"https://doi.org/10.1109/TENCON.2019.8929391","url":null,"abstract":"A deep learning classifier trained on a source dataset often performs poorly on a target dataset, even for the same classification task, due to the differences in the distributions of the two datasets. In histopathology, the problem of dataset bias is even more severe due to the differences in specific tissue preparation and imaging set ups across patient cohorts. With the objective of improving the generalization across datasets, we propose a set of learnable preprocessing operations – an approach that has not been extensively explored – for a supervised deep learning framework that can be trained separately or together with the rest of the neural network. Through preprocessing, the data from a target domain is transformed before being fed to a classification module trained on the source domain to increase the overlap of the former's distribution with that of the latter. Through an extensive set of experiments on histopathology and face datasets, we show the particular and general utility of the proposed preprocessing operations for domain adaptation and compare it to previous approaches.","PeriodicalId":36690,"journal":{"name":"Platonic Investigations","volume":"23 1","pages":"2460-2465"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72988080","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 : 2019-10-01DOI: 10.1109/TENCON.2019.8929473
H. Ramalingam, V. Venkatesan
Internet of Things (IoT) is an element of smart infrastructure and banking is one of the potential domains which can leverage a huge opportunity from IoT technology. Currently Automated Teller Machine (ATM), Point of service (POS) terminal, mobile banking acts as the edge for banking infrastructure. These digital edge systems in banking bring in one on one interactions with customers and their requirements which opens up opportunities for data acquisition, processing, analytics and decision making on that data. In this paper, banking, financial services and insurance (BFSI) based IoT application usage / use cases with concepts, current trends, opportunities and challenges will be discussed. Smart banking edge systems are needed to address the growing demands on BFSI requirements and IoT is one of the elements for Digital banking infrastructure that will meet the expectations.
物联网(IoT)是智能基础设施的一个组成部分，银行业是可以利用物联网技术带来的巨大机遇的潜在领域之一。目前，自动柜员机(ATM)、POS (Point of service)终端、移动银行作为银行基础设施的边缘。银行业的这些数字边缘系统带来了与客户及其需求的一对一互动，为数据采集、处理、分析和决策提供了机会。本文将讨论基于银行、金融服务和保险(BFSI)的物联网应用使用/用例的概念、当前趋势、机遇和挑战。需要智能银行边缘系统来满足对BFSI要求日益增长的需求，而物联网是满足期望的数字银行基础设施的要素之一。
{"title":"Conceptual analysis of Internet of Things use cases in Banking domain","authors":"H. Ramalingam, V. Venkatesan","doi":"10.1109/TENCON.2019.8929473","DOIUrl":"https://doi.org/10.1109/TENCON.2019.8929473","url":null,"abstract":"Internet of Things (IoT) is an element of smart infrastructure and banking is one of the potential domains which can leverage a huge opportunity from IoT technology. Currently Automated Teller Machine (ATM), Point of service (POS) terminal, mobile banking acts as the edge for banking infrastructure. These digital edge systems in banking bring in one on one interactions with customers and their requirements which opens up opportunities for data acquisition, processing, analytics and decision making on that data. In this paper, banking, financial services and insurance (BFSI) based IoT application usage / use cases with concepts, current trends, opportunities and challenges will be discussed. Smart banking edge systems are needed to address the growing demands on BFSI requirements and IoT is one of the elements for Digital banking infrastructure that will meet the expectations.","PeriodicalId":36690,"journal":{"name":"Platonic Investigations","volume":"16 1","pages":"2034-2039"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75547087","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 : 2019-10-01DOI: 10.1109/LARS-SBR-WRE48964.2019.00034
W. F. Lages, R. V. Henriques
This paper presents a performance evaluation of an intelligent inertial measurement unit (IMU). A 9-axis IMU comprised of a triaxial accelerometer, a triaxial gyroscope and triaxial geomagnetic sensor is considered. The System in Package (SiP) includes a microcontroller running a proprietary sensor fusion software for the estimation of orientation in 3D. The performance of such a system is compared with the performance of an Extended Kalman Filter (EKF) implemented in the host computer and performing a data fusion from the raw not fused data obtained from the same sensors. The sensor is attached to a robot manipulator and orientation estimation of both filters are compared with the ground-truth obtained from the joint sensors of the robot. Results show that the proprietary implementation is not specially good, as the usual EKF was able to match its performance, leaving room for performance improvements by using more advanced filters.
{"title":"Performance Evaluation of Data Fusion for Orientation Estimation in an Intelligent Inertial Measurement Unit","authors":"W. F. Lages, R. V. Henriques","doi":"10.1109/LARS-SBR-WRE48964.2019.00034","DOIUrl":"https://doi.org/10.1109/LARS-SBR-WRE48964.2019.00034","url":null,"abstract":"This paper presents a performance evaluation of an intelligent inertial measurement unit (IMU). A 9-axis IMU comprised of a triaxial accelerometer, a triaxial gyroscope and triaxial geomagnetic sensor is considered. The System in Package (SiP) includes a microcontroller running a proprietary sensor fusion software for the estimation of orientation in 3D. The performance of such a system is compared with the performance of an Extended Kalman Filter (EKF) implemented in the host computer and performing a data fusion from the raw not fused data obtained from the same sensors. The sensor is attached to a robot manipulator and orientation estimation of both filters are compared with the ground-truth obtained from the joint sensors of the robot. Results show that the proprietary implementation is not specially good, as the usual EKF was able to match its performance, leaving room for performance improvements by using more advanced filters.","PeriodicalId":36690,"journal":{"name":"Platonic Investigations","volume":"24 1","pages":"150-155"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73858321","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 : 2019-10-01DOI: 10.1109/TENCON.2019.8929573
Md. Ezazul Islam, Sabbir Ahmed
In this paper, a framework has been designed, which will maintain a blockchain-based database system. The system will be used for keeping citizens daily life data of a whole city. Basically, this data gives support to any incidence inspection team to scrutinize citizens activity in-depth, for any criminal case that needs to be investigated. To perform this forensic work a framework is required which can keep the data confidential and ensures the data will not be tampered by any party related to an investigation (citizen or personnel from forensic organizations). On the other hand, any unauthorized access from any intruder can be restricted. To prevent data tampering, a blockchain-based data structure has been used by our framework to ensure the immutability. This kind of work is not been done in a collective manner, in earlier time mostly blockchain was used with bitcoin. However, it has a huge potential we have applied this in our framework to work with our daily life activity log data.
{"title":"A framework for city wide activity data recorder and providing secured way to forensic users for incidence response","authors":"Md. Ezazul Islam, Sabbir Ahmed","doi":"10.1109/TENCON.2019.8929573","DOIUrl":"https://doi.org/10.1109/TENCON.2019.8929573","url":null,"abstract":"In this paper, a framework has been designed, which will maintain a blockchain-based database system. The system will be used for keeping citizens daily life data of a whole city. Basically, this data gives support to any incidence inspection team to scrutinize citizens activity in-depth, for any criminal case that needs to be investigated. To perform this forensic work a framework is required which can keep the data confidential and ensures the data will not be tampered by any party related to an investigation (citizen or personnel from forensic organizations). On the other hand, any unauthorized access from any intruder can be restricted. To prevent data tampering, a blockchain-based data structure has been used by our framework to ensure the immutability. This kind of work is not been done in a collective manner, in earlier time mostly blockchain was used with bitcoin. However, it has a huge potential we have applied this in our framework to work with our daily life activity log data.","PeriodicalId":36690,"journal":{"name":"Platonic Investigations","volume":"124 4 1","pages":"1683-1689"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74052110","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 : 2019-10-01DOI: 10.1109/TENCON.2019.8929272
Shobhan Kumar, Arunima Chauhan
The two major sources of information for the knowledge seekers are the community question answers (cQA) blogs and textbooks. Textbooks play a vital role in any educational system. Many times, the textbooks that are available in the market are not adequate to fulfill the curiosity of the students, they frequently use the online question answering systems to acquire more knowledge. Due to the high volume of data, there will be high variance in the quality of questions and available answers in cQA forums, hence it takes additional effort to go through all possible question-answers for a better insight. To address this issue, this paper presents a technological solution-“A sentence-level text enrichment process” for a textbook with cQA content. We used techniques of natural language processing and data mining to extract the high-quality question-answers (QA) sets and corresponding links of cQA to enrich the textbooks. Experiments were carried out on the National Council of Educational Research and Training (NCERT) textbooks from India and Pattern Recognition and Machine Learning textbook by Christopher M Bishop, proves that we succeed to enrich textbooks on various subjects and across different grades with high-quality reference materials using automated techniques. The performance of the proposed system is evaluated using precision scores states that our method is competitive.
知识追求者的两个主要信息来源是社区问答(cQA)博客和教科书。教科书在任何教育系统中都起着至关重要的作用。很多时候，市场上现有的教科书不足以满足学生的好奇心，他们经常使用在线问答系统来获取更多的知识。由于数据量很大，cQA论坛中的问题和可用答案的质量会有很大差异，因此需要额外的努力来遍历所有可能的问题答案，以获得更好的见解。针对这一问题，本文提出了一种针对cQA内容的教科书的“句子级文本充实过程”技术解决方案。利用自然语言处理和数据挖掘技术，提取高质量问答集和相应的问答链接，丰富教材内容。在印度国家教育研究和培训委员会(NCERT)的教科书和Christopher M Bishop的模式识别和机器学习教科书上进行的实验证明，我们成功地利用自动化技术丰富了不同学科和不同年级的教科书，并提供了高质量的参考材料。使用精度分数对系统的性能进行了评估，表明我们的方法具有竞争力。
{"title":"Enriching textbooks by Question-Answers using cQA","authors":"Shobhan Kumar, Arunima Chauhan","doi":"10.1109/TENCON.2019.8929272","DOIUrl":"https://doi.org/10.1109/TENCON.2019.8929272","url":null,"abstract":"The two major sources of information for the knowledge seekers are the community question answers (cQA) blogs and textbooks. Textbooks play a vital role in any educational system. Many times, the textbooks that are available in the market are not adequate to fulfill the curiosity of the students, they frequently use the online question answering systems to acquire more knowledge. Due to the high volume of data, there will be high variance in the quality of questions and available answers in cQA forums, hence it takes additional effort to go through all possible question-answers for a better insight. To address this issue, this paper presents a technological solution-“A sentence-level text enrichment process” for a textbook with cQA content. We used techniques of natural language processing and data mining to extract the high-quality question-answers (QA) sets and corresponding links of cQA to enrich the textbooks. Experiments were carried out on the National Council of Educational Research and Training (NCERT) textbooks from India and Pattern Recognition and Machine Learning textbook by Christopher M Bishop, proves that we succeed to enrich textbooks on various subjects and across different grades with high-quality reference materials using automated techniques. The performance of the proposed system is evaluated using precision scores states that our method is competitive.","PeriodicalId":36690,"journal":{"name":"Platonic Investigations","volume":"13 1","pages":"707-714"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TENCON.2019.8929272","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72511825","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 : 2019-10-01DOI: 10.1109/TENCON.2019.8929456
A Lubna, Saidalavi Kalady, A. Lijiya
This paper discusses about the work on medical image visual question answering done on the ImageCLEF 2019 medical VQA dataset. Visual question answering is a task where an image and a related question is given as input to the machine and we get a correct answer to the question as output. In our problem, both the input image and question are from medical domain. In medical imaging, VQA has applications like providing a second opinion to radiologists about their analysis of the image. It can also be used by the patients for getting a basic information about the image without consulting the doctor. We have considered the problem of answering modality based questions for medical images like X-ray, Computed Tomography(CT), ultra sound(US), magnetic resonance imaging(MRI) etc. The approach used here is to use a Convolutional Neural Network(CNN) to classify the input image to its modality class and thus generate the answer according to the CNN output. The proposed model shows a testing accuracy of 83.8% which is comparable with state of the art.
{"title":"MoBVQA: A Modality based Medical Image Visual Question Answering System","authors":"A Lubna, Saidalavi Kalady, A. Lijiya","doi":"10.1109/TENCON.2019.8929456","DOIUrl":"https://doi.org/10.1109/TENCON.2019.8929456","url":null,"abstract":"This paper discusses about the work on medical image visual question answering done on the ImageCLEF 2019 medical VQA dataset. Visual question answering is a task where an image and a related question is given as input to the machine and we get a correct answer to the question as output. In our problem, both the input image and question are from medical domain. In medical imaging, VQA has applications like providing a second opinion to radiologists about their analysis of the image. It can also be used by the patients for getting a basic information about the image without consulting the doctor. We have considered the problem of answering modality based questions for medical images like X-ray, Computed Tomography(CT), ultra sound(US), magnetic resonance imaging(MRI) etc. The approach used here is to use a Convolutional Neural Network(CNN) to classify the input image to its modality class and thus generate the answer according to the CNN output. The proposed model shows a testing accuracy of 83.8% which is comparable with state of the art.","PeriodicalId":36690,"journal":{"name":"Platonic Investigations","volume":"17 1","pages":"727-732"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78758537","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 : 2019-10-01DOI: 10.1109/LARS-SBR-WRE48964.2019.00055
Edwilson Vaz, Á. Weis, Paulo L. J. Drews-Jr, S. Botelho, C. Steffens, Lucas Pereira
Welding is a commonplace process in many industrial sectors. Once the welding environment can be harmful to human’s health, researchers are presenting solutions to automate this process. Many of these solutions use robots guided by computer vision (using cameras). Fume produced by the arcwelding process usually adheres to the camera lens and affects the robots’ perception. Once fume adheres to the lenses or protective glass, none of them can be changed until the whole welding process is completed. The impossibility of changing protective glass makes restoring the acquired image even more important. In this paper, we propose an optimized method to minimize the interference of the fume present in the acquisition system. The solution presented is based on a fusion of different image processing methods. The results show the method is able to improve the groove detection allowing better welding.
{"title":"An Optimized Image Fusion Method for Fume Removal in Automated Welding Robots Field","authors":"Edwilson Vaz, Á. Weis, Paulo L. J. Drews-Jr, S. Botelho, C. Steffens, Lucas Pereira","doi":"10.1109/LARS-SBR-WRE48964.2019.00055","DOIUrl":"https://doi.org/10.1109/LARS-SBR-WRE48964.2019.00055","url":null,"abstract":"Welding is a commonplace process in many industrial sectors. Once the welding environment can be harmful to human’s health, researchers are presenting solutions to automate this process. Many of these solutions use robots guided by computer vision (using cameras). Fume produced by the arcwelding process usually adheres to the camera lens and affects the robots’ perception. Once fume adheres to the lenses or protective glass, none of them can be changed until the whole welding process is completed. The impossibility of changing protective glass makes restoring the acquired image even more important. In this paper, we propose an optimized method to minimize the interference of the fume present in the acquisition system. The solution presented is based on a fusion of different image processing methods. The results show the method is able to improve the groove detection allowing better welding.","PeriodicalId":36690,"journal":{"name":"Platonic Investigations","volume":"47 1","pages":"275-280"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78417757","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 : 2019-10-01DOI: 10.1109/TENCON.2019.8929676
G. Diwakar, L. P. Roy
Vibrating wire-based sensors are widely used for stress measurement of strata in underground coal mines, dams and bridges. Stress measurement in this sensor is purely based on frequency as it has several advantages compared to other conventional sensors. Thus estimation of frequency plays a crucial role in measuring the stress. This study focuses on comparison of two efficient frequency estimation techniques seeking their application in vibrating wire sensors which are popularly used in coal mines. MUltiple Signal Classification (MUSIC) and Maximum Likelihood Estimation (MLE) methods are simulated for the above mentioned application and estimation accuracy is compared with Cramer Rao Lower Bound(CRLB). Numerical results are presented here to illustrate the attainment of CRLB by above two estimators. Computational complexity expressions are derived as $O(NlogN)$ and $O(N^{3})$ respectively for MLE and MUSIC, where $N$ is the considered window length for signal processing. Overall study helps to conclude that both MLE and MUSIC can be applied to vibrating wire sensor signal for estimating frequency, amplitude and phase.
{"title":"Statistical Frequency Estimation Techniques for Vibrating Wire Sensor Signals","authors":"G. Diwakar, L. P. Roy","doi":"10.1109/TENCON.2019.8929676","DOIUrl":"https://doi.org/10.1109/TENCON.2019.8929676","url":null,"abstract":"Vibrating wire-based sensors are widely used for stress measurement of strata in underground coal mines, dams and bridges. Stress measurement in this sensor is purely based on frequency as it has several advantages compared to other conventional sensors. Thus estimation of frequency plays a crucial role in measuring the stress. This study focuses on comparison of two efficient frequency estimation techniques seeking their application in vibrating wire sensors which are popularly used in coal mines. MUltiple Signal Classification (MUSIC) and Maximum Likelihood Estimation (MLE) methods are simulated for the above mentioned application and estimation accuracy is compared with Cramer Rao Lower Bound(CRLB). Numerical results are presented here to illustrate the attainment of CRLB by above two estimators. Computational complexity expressions are derived as $O(NlogN)$ and $O(N^{3})$ respectively for MLE and MUSIC, where $N$ is the considered window length for signal processing. Overall study helps to conclude that both MLE and MUSIC can be applied to vibrating wire sensor signal for estimating frequency, amplitude and phase.","PeriodicalId":36690,"journal":{"name":"Platonic Investigations","volume":"7 1","pages":"1774-1777"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78421696","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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