Pub Date : 2020-10-18DOI: 10.1109/IECON43393.2020.9254402
G.A. Castro, M. I. Murkowska, Pedro Zulaica Rey, A. Anvari‐Moghaddam
One of the difficulties of mining worldwide is that it must be carried out in remote places without grid connection. Therefore it is important to choose the most profitable and reliable combination of energy sources for electrification. In this paper, different technologies to meet the demand of a mine located in Western Australia are studied. Using HOMER Pro, several viable systems, for the resources considered, are obtained. Using analytic hierarchy process (AHP), the most suitable case is selected for further study. Using Monte-Carlo simulations several scenarios are developed for the study of uncertainties, and a risk-constrained optimization algorithm is implemented to obtain the optimal scheduling, the expected cost and conditional value at risk (CVaR). Numerical results demonstrate that the variations of operation cost and CVaR with the increase in risk aversion factor are not of high magnitude, due to rather low variable operation costs of renewable energy sources. It is shown that the proposed hybrid electrification plan, based on WT, PVs and battery, could not only provide a reliable power generation, but also very low daily operating cost.
{"title":"Operational Planning of a Hybrid Power Plant for Off-Grid Mining Site: A Risk-constrained Optimization Approach","authors":"G.A. Castro, M. I. Murkowska, Pedro Zulaica Rey, A. Anvari‐Moghaddam","doi":"10.1109/IECON43393.2020.9254402","DOIUrl":"https://doi.org/10.1109/IECON43393.2020.9254402","url":null,"abstract":"One of the difficulties of mining worldwide is that it must be carried out in remote places without grid connection. Therefore it is important to choose the most profitable and reliable combination of energy sources for electrification. In this paper, different technologies to meet the demand of a mine located in Western Australia are studied. Using HOMER Pro, several viable systems, for the resources considered, are obtained. Using analytic hierarchy process (AHP), the most suitable case is selected for further study. Using Monte-Carlo simulations several scenarios are developed for the study of uncertainties, and a risk-constrained optimization algorithm is implemented to obtain the optimal scheduling, the expected cost and conditional value at risk (CVaR). Numerical results demonstrate that the variations of operation cost and CVaR with the increase in risk aversion factor are not of high magnitude, due to rather low variable operation costs of renewable energy sources. It is shown that the proposed hybrid electrification plan, based on WT, PVs and battery, could not only provide a reliable power generation, but also very low daily operating cost.","PeriodicalId":13045,"journal":{"name":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","volume":"179 1","pages":"4587-4592"},"PeriodicalIF":0.0,"publicationDate":"2020-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88560080","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 : 2020-10-18DOI: 10.1109/IECON43393.2020.9254871
P. Gonçalves, S. Cruz, A. Mendes
The application of finite control set model predictive control (FCS-MPC) to multiphase electric drives has been widely studied in recent years due to its enhanced transient performance, simple structure, and low tuning requirements. However, the selection of the optimal control actuation by FCS-MPC strategies relies on the accuracy of the system model, which depends on the knowledge of the parameters of the machine. Moreover, depending on the operating conditions of the electric drive, the parameters of the machine also change during operation due to thermal and saturation effects. Hence, this paper studies the sensitivity of parameter mismatch in the bi-subspace predictive current control strategy based on virtual vectors (BSVV-PCC) applied to a six-phase permanent magnet synchronous machine (PMSM) drive. Several simulation results are provided to analyze the impact on the performance of the drive caused by a variation of the machine parameters used in the prediction model of the control strategy.
{"title":"Sensitivity to Parameter Mismatch in a Bi-Subspace Predictive Current Control Strategy for Six-Phase PMSM Drives","authors":"P. Gonçalves, S. Cruz, A. Mendes","doi":"10.1109/IECON43393.2020.9254871","DOIUrl":"https://doi.org/10.1109/IECON43393.2020.9254871","url":null,"abstract":"The application of finite control set model predictive control (FCS-MPC) to multiphase electric drives has been widely studied in recent years due to its enhanced transient performance, simple structure, and low tuning requirements. However, the selection of the optimal control actuation by FCS-MPC strategies relies on the accuracy of the system model, which depends on the knowledge of the parameters of the machine. Moreover, depending on the operating conditions of the electric drive, the parameters of the machine also change during operation due to thermal and saturation effects. Hence, this paper studies the sensitivity of parameter mismatch in the bi-subspace predictive current control strategy based on virtual vectors (BSVV-PCC) applied to a six-phase permanent magnet synchronous machine (PMSM) drive. Several simulation results are provided to analyze the impact on the performance of the drive caused by a variation of the machine parameters used in the prediction model of the control strategy.","PeriodicalId":13045,"journal":{"name":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","volume":"10 1","pages":"4875-4880"},"PeriodicalIF":0.0,"publicationDate":"2020-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88589322","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 : 2020-10-18DOI: 10.1109/IECON43393.2020.9254890
Xu Cheng, Guoyuan Li, R. Skulstad, Houxiang Zhang, Shengyong Chen
Sea State is significant to the operations on the sea. The traditional model-based approaches need lots of knowledge of vessels, which limit the real-world use. This paper proposes a spectrogram-based deep learning model for sea state estimation (SpectralNet). In this model, the ship motion data is converted to spectrogram using short time Fourier transform (STFT). Unlike other methods, the spectrogram of each sensor will be combined to a new image. And then, a 2D convolutional neural network (CNN) is built as the classifier and the sea state can be identified. The experimental results show the proposed approach can achieve higher classification accuracy compared these methods applied directly in raw time series data. Through the comparison results of the proposed approach and the combination of spectrogram of different number of sensors, the proposed approach can achieve highest classification accuracy, and the classification accuracy is growing with the number of combined sensors. The sensitivity analysis finds the classification accuracy is easily influenced by the scale factor of images.
{"title":"SpectralSeaNet: Spectrogram and Convolutional Network-based Sea State Estimation","authors":"Xu Cheng, Guoyuan Li, R. Skulstad, Houxiang Zhang, Shengyong Chen","doi":"10.1109/IECON43393.2020.9254890","DOIUrl":"https://doi.org/10.1109/IECON43393.2020.9254890","url":null,"abstract":"Sea State is significant to the operations on the sea. The traditional model-based approaches need lots of knowledge of vessels, which limit the real-world use. This paper proposes a spectrogram-based deep learning model for sea state estimation (SpectralNet). In this model, the ship motion data is converted to spectrogram using short time Fourier transform (STFT). Unlike other methods, the spectrogram of each sensor will be combined to a new image. And then, a 2D convolutional neural network (CNN) is built as the classifier and the sea state can be identified. The experimental results show the proposed approach can achieve higher classification accuracy compared these methods applied directly in raw time series data. Through the comparison results of the proposed approach and the combination of spectrogram of different number of sensors, the proposed approach can achieve highest classification accuracy, and the classification accuracy is growing with the number of combined sensors. The sensitivity analysis finds the classification accuracy is easily influenced by the scale factor of images.","PeriodicalId":13045,"journal":{"name":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","volume":"13 1","pages":"5069-5074"},"PeriodicalIF":0.0,"publicationDate":"2020-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89351457","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 : 2020-10-18DOI: 10.1109/IECON43393.2020.9254292
H. Baumgärtel, Patrick Moder, Nour Ramzy, H. Ehm
The challenges of the Industry 4.0 era require the effective combination of emerging automation and information technologies. Two important representatives of these core technologies are service oriented architectures that provide the technical basis for middleware as well as semantic web technologies that provide unique vocabulary. In this paper, we illustrate the combination of these two technologies with regard to a concrete scenario within the complex semiconductor supply chain environment. Providing the scenario, problem description and solution at utmost concreteness, this approach aims at overcoming the complexity within this domain. This paper illustrates the challenges and solutions during ontology development, and on a conceptual level the application scenario, decision-making support for human planners as well as the IT infrastructure based on the Arrowhead Framework.
{"title":"Service-based Semiconductor Manufacturing using the Digital Reference Ontology for Global Service Discovery","authors":"H. Baumgärtel, Patrick Moder, Nour Ramzy, H. Ehm","doi":"10.1109/IECON43393.2020.9254292","DOIUrl":"https://doi.org/10.1109/IECON43393.2020.9254292","url":null,"abstract":"The challenges of the Industry 4.0 era require the effective combination of emerging automation and information technologies. Two important representatives of these core technologies are service oriented architectures that provide the technical basis for middleware as well as semantic web technologies that provide unique vocabulary. In this paper, we illustrate the combination of these two technologies with regard to a concrete scenario within the complex semiconductor supply chain environment. Providing the scenario, problem description and solution at utmost concreteness, this approach aims at overcoming the complexity within this domain. This paper illustrates the challenges and solutions during ontology development, and on a conceptual level the application scenario, decision-making support for human planners as well as the IT infrastructure based on the Arrowhead Framework.","PeriodicalId":13045,"journal":{"name":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","volume":"16 1","pages":"4533-4540"},"PeriodicalIF":0.0,"publicationDate":"2020-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87182973","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 : 2020-10-18DOI: 10.1109/IECON43393.2020.9255332
Mengfei Xu, K. Tao, Zhensheng Chen, Hao Chen
In order to collect mechanical energy in the environment for self-powered sensor applications, a self-powered capacitive pressure sensor with liquid alloy composite as electrode is developed based on triboelectric nanogenerator (TENG). A micro-pyramid structure is fabricated on the surface of polydimethylsiloxane (PDMS) to improve the performance of the pressure sensor. Test results show that the sensitivity of the pressure sensor is increased by 86.26% compared with the sensor without the micro-pyramid structure. The sensor also has an outstanding output performance. When resistance is 100 MΩ, power output has reached nearly 64 μW.
{"title":"Self-powered pressure sensors based on triboelectric nanogenerator","authors":"Mengfei Xu, K. Tao, Zhensheng Chen, Hao Chen","doi":"10.1109/IECON43393.2020.9255332","DOIUrl":"https://doi.org/10.1109/IECON43393.2020.9255332","url":null,"abstract":"In order to collect mechanical energy in the environment for self-powered sensor applications, a self-powered capacitive pressure sensor with liquid alloy composite as electrode is developed based on triboelectric nanogenerator (TENG). A micro-pyramid structure is fabricated on the surface of polydimethylsiloxane (PDMS) to improve the performance of the pressure sensor. Test results show that the sensitivity of the pressure sensor is increased by 86.26% compared with the sensor without the micro-pyramid structure. The sensor also has an outstanding output performance. When resistance is 100 MΩ, power output has reached nearly 64 μW.","PeriodicalId":13045,"journal":{"name":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","volume":"16 1","pages":"3498-3501"},"PeriodicalIF":0.0,"publicationDate":"2020-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87409290","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 : 2020-10-18DOI: 10.1109/IECON43393.2020.9254427
Yuta Tawaki, Takuichi Nishimura, T. Murakami
The world population is ageing. In the aged society, grasping the body condition of the elderly is helpful to choose appropriate rehabilitation. This research focuses on the outdoor walking analysis by use of the simple foot mounted IMU system. The walking feature values are estimated by the algorithm, and they are combined with the GPS data obtained by smartphone to compare the feature values of frail elderly and healthy subject. The differences of walking feature values that are calculated by this system show the usefulness of developed system. The developed system is simple, but useful to grasp the gait features changing of the user.
{"title":"Monitoring of Gait Features during Outdoor Walking by Simple Foot Mounted IMU System","authors":"Yuta Tawaki, Takuichi Nishimura, T. Murakami","doi":"10.1109/IECON43393.2020.9254427","DOIUrl":"https://doi.org/10.1109/IECON43393.2020.9254427","url":null,"abstract":"The world population is ageing. In the aged society, grasping the body condition of the elderly is helpful to choose appropriate rehabilitation. This research focuses on the outdoor walking analysis by use of the simple foot mounted IMU system. The walking feature values are estimated by the algorithm, and they are combined with the GPS data obtained by smartphone to compare the feature values of frail elderly and healthy subject. The differences of walking feature values that are calculated by this system show the usefulness of developed system. The developed system is simple, but useful to grasp the gait features changing of the user.","PeriodicalId":13045,"journal":{"name":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","volume":"26 1","pages":"3413-3418"},"PeriodicalIF":0.0,"publicationDate":"2020-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84798687","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 : 2020-10-18DOI: 10.1109/IECON43393.2020.9254888
Baichao Chen, Wei Gao, Yaojun Chen, Yuxiong Zhou, G. Xue, Fan Wu
This paper studies and proposes a high-efficiency method for linear precision AC voltage regulation and filtering, which can increase the load-carrying capacity and load adaptability of the voltage-regulated output while maintaining the same filtering effect. Taking the emitter-output linear circuit as the basic research object, the single-stage linear precision AC voltage regulation and filter circuit topology is first proposed. Then on this basis, on the premise of the voltage regulation efficiency, the voltage regulation range is further expanded. A multi-stage linear voltage regulation structure is given, and the distribution law of its efficiency with voltage change is obtained through simulation. While retaining the advantages of the traditional linear amplifier with high waveform quality and no high-frequency noise, it greatly improves system efficiency. Finally, simulations and experiments verify the correctness of this topology and accuracy of the voltage regulation and filtering methods.
{"title":"A High-efficiency Method for Linear Precision AC Voltage Regulation and Filtering","authors":"Baichao Chen, Wei Gao, Yaojun Chen, Yuxiong Zhou, G. Xue, Fan Wu","doi":"10.1109/IECON43393.2020.9254888","DOIUrl":"https://doi.org/10.1109/IECON43393.2020.9254888","url":null,"abstract":"This paper studies and proposes a high-efficiency method for linear precision AC voltage regulation and filtering, which can increase the load-carrying capacity and load adaptability of the voltage-regulated output while maintaining the same filtering effect. Taking the emitter-output linear circuit as the basic research object, the single-stage linear precision AC voltage regulation and filter circuit topology is first proposed. Then on this basis, on the premise of the voltage regulation efficiency, the voltage regulation range is further expanded. A multi-stage linear voltage regulation structure is given, and the distribution law of its efficiency with voltage change is obtained through simulation. While retaining the advantages of the traditional linear amplifier with high waveform quality and no high-frequency noise, it greatly improves system efficiency. Finally, simulations and experiments verify the correctness of this topology and accuracy of the voltage regulation and filtering methods.","PeriodicalId":13045,"journal":{"name":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","volume":"36 1","pages":"1165-1170"},"PeriodicalIF":0.0,"publicationDate":"2020-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90565651","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 : 2020-10-18DOI: 10.1109/IECON43393.2020.9254724
Xianhua Ou, W. Cai, Xiongxiong He, Xin Zhang
Liquid desiccant dehumidification system (LDDS) has emerged as an energy-efficient approach for air dehumidification. In this paper, a simple model for the liquid desiccant cooling and dehumidification air conditioning (LDCDAC) system is proposed. The model is built by using artificial neural network (ANN) to describe the cooling, dehumidification and regeneration performance of the LDCDAC system. The system outlet parameters, such as chilled water temperature, air temperature and humidity, can be calculated directly from the inlet parameters. A multilayer neural network is adopted, and the ANN model is trained by the experimental data collected under different operating conditions. The model predictions of the heat and mass transfer rates are compared with the experimental values. The results indicate that the model predicting errors are within ±8%. The proposed model can be used in control and optimization applications of the LDCDAC system.
{"title":"Modeling of liquid desiccant cooling and dehumidification system based on artificial neural network","authors":"Xianhua Ou, W. Cai, Xiongxiong He, Xin Zhang","doi":"10.1109/IECON43393.2020.9254724","DOIUrl":"https://doi.org/10.1109/IECON43393.2020.9254724","url":null,"abstract":"Liquid desiccant dehumidification system (LDDS) has emerged as an energy-efficient approach for air dehumidification. In this paper, a simple model for the liquid desiccant cooling and dehumidification air conditioning (LDCDAC) system is proposed. The model is built by using artificial neural network (ANN) to describe the cooling, dehumidification and regeneration performance of the LDCDAC system. The system outlet parameters, such as chilled water temperature, air temperature and humidity, can be calculated directly from the inlet parameters. A multilayer neural network is adopted, and the ANN model is trained by the experimental data collected under different operating conditions. The model predictions of the heat and mass transfer rates are compared with the experimental values. The results indicate that the model predicting errors are within ±8%. The proposed model can be used in control and optimization applications of the LDCDAC system.","PeriodicalId":13045,"journal":{"name":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","volume":"30 1","pages":"4810-4814"},"PeriodicalIF":0.0,"publicationDate":"2020-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85274889","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 : 2020-10-18DOI: 10.1109/IECON43393.2020.9254849
Alper Nabi Akpolat, Y. A. Baysal, Yongheng Yang, F. Blaabjerg
In this period when the technology has been developing rapidly, resources are being exhausted as well conversely. Therefore, possible problems and the ways of handling them are changing and new problem-solving techniques are being tried. Due to the intermittent nature of photovoltaic (PV) systems, which have solar irradiance and temperature as a source, the problem of maximum power attaining arises. The solution to this problem aims to make optimal use of PV energy production. This study presents a metaheuristic algorithm to solve the problem of maximum power point tracking (MPPT) from PV systems which are an indispensable part of renewable energy technology. Symbiotic organisms search (SOS), a powerful and dynamic metaheuristic optimization algorithm, is adopted as a solution to this problem. The SOS algorithm has been inspired by the symbiotic interactions adopted their behavior to survive in the ecosystem, which has developed to solve optimization and engineering problems. The proposed algorithm, i.e., SOS, has been embedded in MATLAB/Simulink platform to test for accuracy and efficiency. From the obtained results, this evolutionary SOS algorithm is seen obviously to outperform in certain points more than the classical Perturb and Observe (P&O) and Incremental Conductance (INC) methods for the same system and conditions.
{"title":"Optimal PV Generation Using Symbiotic Organisms Search Optimization Algorithm-Based MPPT","authors":"Alper Nabi Akpolat, Y. A. Baysal, Yongheng Yang, F. Blaabjerg","doi":"10.1109/IECON43393.2020.9254849","DOIUrl":"https://doi.org/10.1109/IECON43393.2020.9254849","url":null,"abstract":"In this period when the technology has been developing rapidly, resources are being exhausted as well conversely. Therefore, possible problems and the ways of handling them are changing and new problem-solving techniques are being tried. Due to the intermittent nature of photovoltaic (PV) systems, which have solar irradiance and temperature as a source, the problem of maximum power attaining arises. The solution to this problem aims to make optimal use of PV energy production. This study presents a metaheuristic algorithm to solve the problem of maximum power point tracking (MPPT) from PV systems which are an indispensable part of renewable energy technology. Symbiotic organisms search (SOS), a powerful and dynamic metaheuristic optimization algorithm, is adopted as a solution to this problem. The SOS algorithm has been inspired by the symbiotic interactions adopted their behavior to survive in the ecosystem, which has developed to solve optimization and engineering problems. The proposed algorithm, i.e., SOS, has been embedded in MATLAB/Simulink platform to test for accuracy and efficiency. From the obtained results, this evolutionary SOS algorithm is seen obviously to outperform in certain points more than the classical Perturb and Observe (P&O) and Incremental Conductance (INC) methods for the same system and conditions.","PeriodicalId":13045,"journal":{"name":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","volume":"63 1","pages":"2850-2855"},"PeriodicalIF":0.0,"publicationDate":"2020-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85337811","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 : 2020-10-18DOI: 10.1109/IECON43393.2020.9254709
Kohei Yamauchi, Hiroyuki Kobayashi
The authors aim to embed arbitrary information in arbitrary images and restore them using CNN. To achieve this goal, we propose a model consisting of two CNNs with different roles. In the proposed method, it is used as an information medium for embedding a QR code. The QR code error correction function is expected to restore the embedded information without error. Existing research has shown that embedding a QR code in a sharp color image does not restore the QR code correctly. This paper modified the CNN configuration to address this issue. The authors hope this technology can be used to integrate QR codes into human living space and hide information without upset. We learned how to embed a QR code image in a color image using the CNN model proposed this time. As a result, the authors were able to embed the QR code image without degrading the quality of the input color image. Current methods have drawbacks. Blur the image with the embedded QR code. Then, there is a problem that the embedded QR code cannot be restored. We will solve this problem in the future.
{"title":"Invisible QR Code Generator Using Convolutional Neural Network","authors":"Kohei Yamauchi, Hiroyuki Kobayashi","doi":"10.1109/IECON43393.2020.9254709","DOIUrl":"https://doi.org/10.1109/IECON43393.2020.9254709","url":null,"abstract":"The authors aim to embed arbitrary information in arbitrary images and restore them using CNN. To achieve this goal, we propose a model consisting of two CNNs with different roles. In the proposed method, it is used as an information medium for embedding a QR code. The QR code error correction function is expected to restore the embedded information without error. Existing research has shown that embedding a QR code in a sharp color image does not restore the QR code correctly. This paper modified the CNN configuration to address this issue. The authors hope this technology can be used to integrate QR codes into human living space and hide information without upset. We learned how to embed a QR code image in a color image using the CNN model proposed this time. As a result, the authors were able to embed the QR code image without degrading the quality of the input color image. Current methods have drawbacks. Blur the image with the embedded QR code. Then, there is a problem that the embedded QR code cannot be restored. We will solve this problem in the future.","PeriodicalId":13045,"journal":{"name":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","volume":"114 1","pages":"4009-4014"},"PeriodicalIF":0.0,"publicationDate":"2020-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90733110","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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