Pub Date : 2018-09-01DOI: 10.23919/IConAC.2018.8749010
Tianqi Fan, Jin Zhu, Yongqiang Cheng, Qingde Li, Dongfei Xue, Robert Munnoch
Heart sound segmentation is a key step in automatic analysis of phonocardiogram (PCG) for early pathology detection. In this paper, we propose a novel method inspired by the Part of Speech (POS) tagging problem for heart sound segmentation. We use a Bi-directional Gated Recurrent Unit (GRU) to predict the state of the heart sound cycles directly, steering away from the traditionally used envelopes and time-frequency based features. Our method is evaluated on a large dataset using a 10-fold cross-validation. The proposed method has achieved overall 96.86% accuracy and the F1 score is 98.40% on the test sets. The proposed method has outperformed other existing state of the art methods by 1–3 percentage in terms of accuracy and F1.
{"title":"A New Direct Heart Sound Segmentation Approach using Bi-directional GRU","authors":"Tianqi Fan, Jin Zhu, Yongqiang Cheng, Qingde Li, Dongfei Xue, Robert Munnoch","doi":"10.23919/IConAC.2018.8749010","DOIUrl":"https://doi.org/10.23919/IConAC.2018.8749010","url":null,"abstract":"Heart sound segmentation is a key step in automatic analysis of phonocardiogram (PCG) for early pathology detection. In this paper, we propose a novel method inspired by the Part of Speech (POS) tagging problem for heart sound segmentation. We use a Bi-directional Gated Recurrent Unit (GRU) to predict the state of the heart sound cycles directly, steering away from the traditionally used envelopes and time-frequency based features. Our method is evaluated on a large dataset using a 10-fold cross-validation. The proposed method has achieved overall 96.86% accuracy and the F1 score is 98.40% on the test sets. The proposed method has outperformed other existing state of the art methods by 1–3 percentage in terms of accuracy and F1.","PeriodicalId":121030,"journal":{"name":"2018 24th International Conference on Automation and Computing (ICAC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125594661","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 : 2018-09-01DOI: 10.23919/ICONAC.2018.8749087
A. Al-Ibadi, S. Nefti-Meziani, S. Davis, Theodoros Theodoridis
This paper proposes a novel continuum robot arm based on the pneumatic muscle actuator (PMA). The simple design of the extensor and the contractor PMAs are used to implement the extension and the contraction sections respectively. Five actuators are used in each section to achieve an elongation and bending for the top section and a contraction and bending for the bottom section. Then, four self-bending contraction actuators (SBCA) are used instead of the five contractions PMA to enhance the bending performances. The performances of the proposed soft robot arm showed the advantages of using a biological inspiration robot arm for the unique features in comparison to its weight and cost.
{"title":"Design of Two Segments Continuum Robot Arm Based on Pneumatic Muscle Actuator (PMA)","authors":"A. Al-Ibadi, S. Nefti-Meziani, S. Davis, Theodoros Theodoridis","doi":"10.23919/ICONAC.2018.8749087","DOIUrl":"https://doi.org/10.23919/ICONAC.2018.8749087","url":null,"abstract":"This paper proposes a novel continuum robot arm based on the pneumatic muscle actuator (PMA). The simple design of the extensor and the contractor PMAs are used to implement the extension and the contraction sections respectively. Five actuators are used in each section to achieve an elongation and bending for the top section and a contraction and bending for the bottom section. Then, four self-bending contraction actuators (SBCA) are used instead of the five contractions PMA to enhance the bending performances. The performances of the proposed soft robot arm showed the advantages of using a biological inspiration robot arm for the unique features in comparison to its weight and cost.","PeriodicalId":121030,"journal":{"name":"2018 24th International Conference on Automation and Computing (ICAC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126554383","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 : 2018-09-01DOI: 10.23919/IConAC.2018.8749076
N. Zabidi, Weigang Wang, Dongling Xu
Online collaboration is currently emerging as one of the predominant technology trends in the collaborative learning atmosphere. However, the scarcity of collaborative devices combined with task-specific groupware tools may limit its full potential. In addition, there is a deficiency of investigations in the form of integrated settings between social media and mobile groupware. Therefore, this paper proposes the approach of mobile groupware (MobileMeeting) that can be integrated (i.e., embedded) into the popular social media posts that students currently use as a supplementary tool for collaborative learning. An investigation was conducted in real project-based scenarios with students, followed by post-session questionnaires including a log-report analysis from Google Analytics as supporting evidence. This study confirms that the proposed approach using MobileMeeting is capable of improving collective learning productivity and activities, including their satisfaction with the required groupware tools. The log-report analysis of students' case projects (social media marketing campaigns) also displays an increment in user engagement and retention by bringing the new user and a large number of returning user. In conclusion, these results have several practical implications: as collaborative learning activities become more complex, the setup of integrated social media and mobile groupware (MobileMeeting) can support a range of collective actions.
{"title":"Collaborative supporting tool: Integrating social media and mobile groupware into an integrated learning environment","authors":"N. Zabidi, Weigang Wang, Dongling Xu","doi":"10.23919/IConAC.2018.8749076","DOIUrl":"https://doi.org/10.23919/IConAC.2018.8749076","url":null,"abstract":"Online collaboration is currently emerging as one of the predominant technology trends in the collaborative learning atmosphere. However, the scarcity of collaborative devices combined with task-specific groupware tools may limit its full potential. In addition, there is a deficiency of investigations in the form of integrated settings between social media and mobile groupware. Therefore, this paper proposes the approach of mobile groupware (MobileMeeting) that can be integrated (i.e., embedded) into the popular social media posts that students currently use as a supplementary tool for collaborative learning. An investigation was conducted in real project-based scenarios with students, followed by post-session questionnaires including a log-report analysis from Google Analytics as supporting evidence. This study confirms that the proposed approach using MobileMeeting is capable of improving collective learning productivity and activities, including their satisfaction with the required groupware tools. The log-report analysis of students' case projects (social media marketing campaigns) also displays an increment in user engagement and retention by bringing the new user and a large number of returning user. In conclusion, these results have several practical implications: as collaborative learning activities become more complex, the setup of integrated social media and mobile groupware (MobileMeeting) can support a range of collective actions.","PeriodicalId":121030,"journal":{"name":"2018 24th International Conference on Automation and Computing (ICAC)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121567208","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 : 2018-09-01DOI: 10.23919/IConAC.2018.8748965
Carlos Beltran Perez, Hua-Liang Wei
The use of the multiscale generalized radial basis function (MSRBF) network for image feature extraction is proposed for the first time. The MSRBF network holds a simple but flexible structure capable to modelling complex systems. However MSRBF is originally designed to identify observational-type input-output systems. We aim to use this efficient network to get to concise but accurate models of digital images thanks to: a) the use of multiple scales in the RBF kernel width, and b) the adoption of the forward regression orthogonal least squares (FROLS) algorithm to refine the model structure selection. Thereafter the new tailored model is excited to produce output signals aimed at be compressed by the discrete cosine transform (DCT), adopted in this work to compact signals' energy into a few coefficients. To recognise images as MSRBF networks, a mathematical modelling was done by considering the first ones as multiple-input single-output systems. Based on the new methodology a novel computer aided diagnosis (CAD) system for cancer detection in X-ray mammograms was designed. Classification results show that the new CAD method helped reach a competitive diagnostic accuracy of 93.5%. It was similarly found that the MSRBF network is able to construct tailored and precise image models.
{"title":"Image Classification Using Generalized Multiscale RBF Networks and Discrete Cosine Transform","authors":"Carlos Beltran Perez, Hua-Liang Wei","doi":"10.23919/IConAC.2018.8748965","DOIUrl":"https://doi.org/10.23919/IConAC.2018.8748965","url":null,"abstract":"The use of the multiscale generalized radial basis function (MSRBF) network for image feature extraction is proposed for the first time. The MSRBF network holds a simple but flexible structure capable to modelling complex systems. However MSRBF is originally designed to identify observational-type input-output systems. We aim to use this efficient network to get to concise but accurate models of digital images thanks to: a) the use of multiple scales in the RBF kernel width, and b) the adoption of the forward regression orthogonal least squares (FROLS) algorithm to refine the model structure selection. Thereafter the new tailored model is excited to produce output signals aimed at be compressed by the discrete cosine transform (DCT), adopted in this work to compact signals' energy into a few coefficients. To recognise images as MSRBF networks, a mathematical modelling was done by considering the first ones as multiple-input single-output systems. Based on the new methodology a novel computer aided diagnosis (CAD) system for cancer detection in X-ray mammograms was designed. Classification results show that the new CAD method helped reach a competitive diagnostic accuracy of 93.5%. It was similarly found that the MSRBF network is able to construct tailored and precise image models.","PeriodicalId":121030,"journal":{"name":"2018 24th International Conference on Automation and Computing (ICAC)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126392227","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 : 2018-09-01DOI: 10.23919/IConAC.2018.8748998
Junzhen Zhu, Zijun Wang, G. Tian
Eddy current pulsed thermography (ECPT) and long pulse optical thermography (LPOT) as two emerging nondestructive testing and evaluation (NDT&E) techniques have been recently used for defect evaluation in many scenarios. This paper focuses on detecting the flat bottom hole (FBH) defects in an aluminium specimen by using both techniques. Principal component analysis (PCA) is used to enhance the FBH detection. The comparative results show that although LPOT has the advantage of a larger detection area and higher efficiency, the ECPT has a better performance compared to LPOT in detecting FBH defects in the aluminium specimen.
{"title":"Comparative Study of Eddy Current Pulsed and Long Pulse Optical Thermography for Defect Detection in Aluminium Plate","authors":"Junzhen Zhu, Zijun Wang, G. Tian","doi":"10.23919/IConAC.2018.8748998","DOIUrl":"https://doi.org/10.23919/IConAC.2018.8748998","url":null,"abstract":"Eddy current pulsed thermography (ECPT) and long pulse optical thermography (LPOT) as two emerging nondestructive testing and evaluation (NDT&E) techniques have been recently used for defect evaluation in many scenarios. This paper focuses on detecting the flat bottom hole (FBH) defects in an aluminium specimen by using both techniques. Principal component analysis (PCA) is used to enhance the FBH detection. The comparative results show that although LPOT has the advantage of a larger detection area and higher efficiency, the ECPT has a better performance compared to LPOT in detecting FBH defects in the aluminium specimen.","PeriodicalId":121030,"journal":{"name":"2018 24th International Conference on Automation and Computing (ICAC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114191300","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 : 2018-09-01DOI: 10.23919/IConAC.2018.8749017
C. A. U. Hassan, Rizwana Irfan, M. A. Shah
Business Intelligence (BI) is the process to extract information from data then get knowledge from that information to take the decisions. This paper shows the effectiveness of BI technologies with data warehouse, for decision making. In this paper, we deploy the Integrated Proposed Architecture (IPA) on W category hospital in order to manage and monitor the data effectively for analysis and decision making. The accuracy of IPA is 93% in term of information analysis that is 6% better than Traditional Data warehouse Architecture (TDA). The IPA is also able to support dashboard management, multidimensional data model, perform online analytical processing, perform user authentication and generate dynamic reports via BI technologies.
{"title":"Integrated Architecture of Data Warehouse with Business Intelligence Technologies","authors":"C. A. U. Hassan, Rizwana Irfan, M. A. Shah","doi":"10.23919/IConAC.2018.8749017","DOIUrl":"https://doi.org/10.23919/IConAC.2018.8749017","url":null,"abstract":"Business Intelligence (BI) is the process to extract information from data then get knowledge from that information to take the decisions. This paper shows the effectiveness of BI technologies with data warehouse, for decision making. In this paper, we deploy the Integrated Proposed Architecture (IPA) on W category hospital in order to manage and monitor the data effectively for analysis and decision making. The accuracy of IPA is 93% in term of information analysis that is 6% better than Traditional Data warehouse Architecture (TDA). The IPA is also able to support dashboard management, multidimensional data model, perform online analytical processing, perform user authentication and generate dynamic reports via BI technologies.","PeriodicalId":121030,"journal":{"name":"2018 24th International Conference on Automation and Computing (ICAC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121695371","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 : 2018-09-01DOI: 10.23919/IConAC.2018.8749121
Khalid Rabeyee, Xiaoli Tang, Yuandong Xu, D. Zhen, F. Gu, A. Ball
Several mechanisms of wear can occur in rolling element bearings (REBs). As the wear evolves, the vibration level will increase with the growth of internal clearance of bearings due to the variation of contact force and dynamic excitation. Therefore, for accurate fault severity diagnosis, internal clearance increase caused by inevitable wear has to be taken into account. In this paper, clearance variation caused by the wear of tapered rolling bearings (TRBs) is investigated experimentally and clearance estimation is carried out based on analysis of low frequency vibrations and the deviation of the fault features. An experimental study is ingeniously designed to simulate the wear evolutions and evaluate their influence on well-accepted envelope signatures according to vibrations measured from TRBs. The defective bearings were diagnosed in two aspects: the magnitude variation of vibrations in the low frequency band and the peak frequency deviation. The experimental results give out a signature shift with regard to the wear evolution, also vibration magnitude of the low frequency band grew remarkably. Therefore, unavoidable wear can be estimated and consequently the fault severity diagnosis improved.
{"title":"Diagnosing the Change in the Internal Clearances of Rolling Element Bearings based on Vibration Signatures","authors":"Khalid Rabeyee, Xiaoli Tang, Yuandong Xu, D. Zhen, F. Gu, A. Ball","doi":"10.23919/IConAC.2018.8749121","DOIUrl":"https://doi.org/10.23919/IConAC.2018.8749121","url":null,"abstract":"Several mechanisms of wear can occur in rolling element bearings (REBs). As the wear evolves, the vibration level will increase with the growth of internal clearance of bearings due to the variation of contact force and dynamic excitation. Therefore, for accurate fault severity diagnosis, internal clearance increase caused by inevitable wear has to be taken into account. In this paper, clearance variation caused by the wear of tapered rolling bearings (TRBs) is investigated experimentally and clearance estimation is carried out based on analysis of low frequency vibrations and the deviation of the fault features. An experimental study is ingeniously designed to simulate the wear evolutions and evaluate their influence on well-accepted envelope signatures according to vibrations measured from TRBs. The defective bearings were diagnosed in two aspects: the magnitude variation of vibrations in the low frequency band and the peak frequency deviation. The experimental results give out a signature shift with regard to the wear evolution, also vibration magnitude of the low frequency band grew remarkably. Therefore, unavoidable wear can be estimated and consequently the fault severity diagnosis improved.","PeriodicalId":121030,"journal":{"name":"2018 24th International Conference on Automation and Computing (ICAC)","volume":"195 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132761130","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 : 2018-09-01DOI: 10.23919/IConAC.2018.8749111
Changhao Zhu, Jie Zhang
This paper presents using deep belief networks for the inferential estimation of polypropylene melt index in an industrial polymerization process. The polymer melt index is difficult to be measured online in practice. The relationship between easy-to-measure process variables and difficult-to-measure polymer melt index is found by using a deep belief network model. The development of a deep belief network model contains an unsupervised training process and a supervised training process. Deep belief networks use a novel semi-supervised learning method. The process operational data without corresponding quality measurements can be used in the unsupervised training process. The profuse information behind input data are captured by deep belief networks. It is shown that the deep belief network model gives very accurate estimation of melt index.
{"title":"Inferential Estimation of Polymer Melt Index Using Deep Belief Networks","authors":"Changhao Zhu, Jie Zhang","doi":"10.23919/IConAC.2018.8749111","DOIUrl":"https://doi.org/10.23919/IConAC.2018.8749111","url":null,"abstract":"This paper presents using deep belief networks for the inferential estimation of polypropylene melt index in an industrial polymerization process. The polymer melt index is difficult to be measured online in practice. The relationship between easy-to-measure process variables and difficult-to-measure polymer melt index is found by using a deep belief network model. The development of a deep belief network model contains an unsupervised training process and a supervised training process. Deep belief networks use a novel semi-supervised learning method. The process operational data without corresponding quality measurements can be used in the unsupervised training process. The profuse information behind input data are captured by deep belief networks. It is shown that the deep belief network model gives very accurate estimation of melt index.","PeriodicalId":121030,"journal":{"name":"2018 24th International Conference on Automation and Computing (ICAC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115563875","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 : 2018-09-01DOI: 10.23919/IConAC.2018.8749124
Kai Liu, Jie Zhang
Echo state networks (ESNs) have been shown to be an effective alternative to conventional recurrent neural networks due to its simple training process and good fitting performance of time series modelling tasks. In the primary ESN principle, the random setting of reservoir is considered to be the main advantage of ESN. However, because of the randomly generated connectivity and weight parameters, appropriate setting of the structural parameters which can significantly influence the modelling accuracy is considered a key issue in building ESN models. Evolutionary Strategy (ES) has been shown being a powerful stochastic global optimization method. Moreover, covariance matrix adaption evolutionary strategy (CMA-ES) is an artistically and parallel search method which transforms the searching covariance matrix to guide the best search direction. This paper proposes a CMA-ES-ESN method to optimize several structural parameters of an ESN such as reservoir size, leak rate and spectral radius factor. Finally, the results are compared with those from the original ESN and GA-ESN, ESN optimized by genetic algorithm.
{"title":"Optimization of Echo State Networks by Covariance Matrix Adaption Evolutionary Strategy","authors":"Kai Liu, Jie Zhang","doi":"10.23919/IConAC.2018.8749124","DOIUrl":"https://doi.org/10.23919/IConAC.2018.8749124","url":null,"abstract":"Echo state networks (ESNs) have been shown to be an effective alternative to conventional recurrent neural networks due to its simple training process and good fitting performance of time series modelling tasks. In the primary ESN principle, the random setting of reservoir is considered to be the main advantage of ESN. However, because of the randomly generated connectivity and weight parameters, appropriate setting of the structural parameters which can significantly influence the modelling accuracy is considered a key issue in building ESN models. Evolutionary Strategy (ES) has been shown being a powerful stochastic global optimization method. Moreover, covariance matrix adaption evolutionary strategy (CMA-ES) is an artistically and parallel search method which transforms the searching covariance matrix to guide the best search direction. This paper proposes a CMA-ES-ESN method to optimize several structural parameters of an ESN such as reservoir size, leak rate and spectral radius factor. Finally, the results are compared with those from the original ESN and GA-ESN, ESN optimized by genetic algorithm.","PeriodicalId":121030,"journal":{"name":"2018 24th International Conference on Automation and Computing (ICAC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115014711","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 : 2018-09-01DOI: 10.23919/IConAC.2018.8749039
Hafsa Iqbal, S. Khan
This paper presents an implementation of Selective mapping technique for Peak to Average Power Ratio (PAPR) reduction in orthogonal frequency-division multiplexing (OFDM) on Software Defined Radio (SDR) platform. OFDM is a multicarrier modulation scheme which supports high data rate transmission. High PAPR in OFDM is responsible for distortion of signal. Our interest is in implementation of PAPR reduction techniques in OFDM on SDR platform using MATLAB and XILINX. We compare the results of MATLAB and XILINX to ensure the specific reduction in PAPR on SDR platform.
{"title":"Selective Mapping:Implementation of PAPR Reduction Technique in OFDM on SDR Platform","authors":"Hafsa Iqbal, S. Khan","doi":"10.23919/IConAC.2018.8749039","DOIUrl":"https://doi.org/10.23919/IConAC.2018.8749039","url":null,"abstract":"This paper presents an implementation of Selective mapping technique for Peak to Average Power Ratio (PAPR) reduction in orthogonal frequency-division multiplexing (OFDM) on Software Defined Radio (SDR) platform. OFDM is a multicarrier modulation scheme which supports high data rate transmission. High PAPR in OFDM is responsible for distortion of signal. Our interest is in implementation of PAPR reduction techniques in OFDM on SDR platform using MATLAB and XILINX. We compare the results of MATLAB and XILINX to ensure the specific reduction in PAPR on SDR platform.","PeriodicalId":121030,"journal":{"name":"2018 24th International Conference on Automation and Computing (ICAC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122060611","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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