The Experts below are selected from a list of 32835 Experts worldwide ranked by ideXlab platform
Taehyoung Zyung - One of the best experts on this subject based on the ideXlab platform.
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wireless energy transfer system with multiple coils via coupled magnetic resonances
Etri Journal, 2012Co-Authors: Sanghoon Cheon, Yonghae Kim, Myunglae Lee, Seungyoul Kang, Taehyoung ZyungAbstract:A general equivalent circuit model is developed for a wireless energy transfer system composed of multiple coils via coupled magnetic resonances. To verify the developed model, four types of wireless energy transfer systems are fabricated, measured, and compared with simulation results. To model a system composed of n-coils, node equations are built in the form of an n-by-n matrix, and the equivalent circuit model is established using an electric design Automation Tool. Using the model, we can simulate systems with multiple coils, power sources, and loads. Moreover, coupling constants are extracted as a function of the distance between two coils, and we can predict the characteristics of a system having coils at an arbitrary location. We fabricate four types of systems with relay coils, two operating frequencies, two power sources, and the function of characteristic impedance conversion. We measure the characteristics of all systems and compare them with the simulation results. The flexibility of the developed model enables us to design and optimize a complicated system consisting of many coils.
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circuit model based analysis of a wireless energy transfer system via coupled magnetic resonances
IEEE Transactions on Industrial Electronics, 2011Co-Authors: Sanghoon Cheon, Yonghae Kim, Myunglae Lee, Seungyoul Kang, Jongmoo Lee, Taehyoung ZyungAbstract:A simple equivalent-circuit model is developed for a wireless energy-transfer system via coupled magnetic resonances, and a practical design method is also provided. Node equations for the resonance system are built with the method, expanding on the equations for a transformer, and the optimum distances of the coils in the system are derived analytically for optimum coupling coefficients for high transfer efficiency. In order to calculate the frequency characteristics for a lossy system, the equivalent model is established at an electric-design Automation Tool. The model parameters of the actual system are extracted, and the modeling results are compared with measurements. Through the developed model, it is seen that the system can transfer power over a midrange of a few meters and that impedance matching is important to achieve high efficiency.
Jae Joon Hwang - One of the best experts on this subject based on the ideXlab platform.
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automatic mandibular canal detection using a deep convolutional neural network
Scientific Reports, 2020Co-Authors: Gloria Hyunjung Kwak, Eunjung Kwak, Jae Min Song, Hae Ryoun Park, Yunhoa Jung, Bonghae Cho, Pan Hui, Jae Joon HwangAbstract:The practicability of deep learning techniques has been demonstrated by their successful implementation in varied fields, including diagnostic imaging for clinicians. In accordance with the increasing demands in the healthcare industry, techniques for automatic prediction and detection are being widely researched. Particularly in dentistry, for various reasons, automated mandibular canal detection has become highly desirable. The positioning of the inferior alveolar nerve (IAN), which is one of the major structures in the mandible, is crucial to prevent nerve injury during surgical procedures. However, automatic segmentation using Cone beam computed tomography (CBCT) poses certain difficulties, such as the complex appearance of the human skull, limited number of datasets, unclear edges, and noisy images. Using work-in-progress Automation software, experiments were conducted with models based on 2D SegNet, 2D and 3D U-Nets as preliminary research for a dental segmentation Automation Tool. The 2D U-Net with adjacent images demonstrates higher global accuracy of 0.82 than naive U-Net variants. The 2D SegNet showed the second highest global accuracy of 0.96, and the 3D U-Net showed the best global accuracy of 0.99. The automated canal detection system through deep learning will contribute significantly to efficient treatment planning and to reducing patients' discomfort by a dentist. This study will be a preliminary report and an opportunity to explore the application of deep learning to other dental fields.
Pan Hui - One of the best experts on this subject based on the ideXlab platform.
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automatic mandibular canal detection using a deep convolutional neural network
Scientific Reports, 2020Co-Authors: Gloria Hyunjung Kwak, Eunjung Kwak, Jae Min Song, Hae Ryoun Park, Yunhoa Jung, Bonghae Cho, Pan Hui, Jae Joon HwangAbstract:The practicability of deep learning techniques has been demonstrated by their successful implementation in varied fields, including diagnostic imaging for clinicians. In accordance with the increasing demands in the healthcare industry, techniques for automatic prediction and detection are being widely researched. Particularly in dentistry, for various reasons, automated mandibular canal detection has become highly desirable. The positioning of the inferior alveolar nerve (IAN), which is one of the major structures in the mandible, is crucial to prevent nerve injury during surgical procedures. However, automatic segmentation using Cone beam computed tomography (CBCT) poses certain difficulties, such as the complex appearance of the human skull, limited number of datasets, unclear edges, and noisy images. Using work-in-progress Automation software, experiments were conducted with models based on 2D SegNet, 2D and 3D U-Nets as preliminary research for a dental segmentation Automation Tool. The 2D U-Net with adjacent images demonstrates higher global accuracy of 0.82 than naive U-Net variants. The 2D SegNet showed the second highest global accuracy of 0.96, and the 3D U-Net showed the best global accuracy of 0.99. The automated canal detection system through deep learning will contribute significantly to efficient treatment planning and to reducing patients' discomfort by a dentist. This study will be a preliminary report and an opportunity to explore the application of deep learning to other dental fields.
Sanghoon Cheon - One of the best experts on this subject based on the ideXlab platform.
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wireless energy transfer system with multiple coils via coupled magnetic resonances
Etri Journal, 2012Co-Authors: Sanghoon Cheon, Yonghae Kim, Myunglae Lee, Seungyoul Kang, Taehyoung ZyungAbstract:A general equivalent circuit model is developed for a wireless energy transfer system composed of multiple coils via coupled magnetic resonances. To verify the developed model, four types of wireless energy transfer systems are fabricated, measured, and compared with simulation results. To model a system composed of n-coils, node equations are built in the form of an n-by-n matrix, and the equivalent circuit model is established using an electric design Automation Tool. Using the model, we can simulate systems with multiple coils, power sources, and loads. Moreover, coupling constants are extracted as a function of the distance between two coils, and we can predict the characteristics of a system having coils at an arbitrary location. We fabricate four types of systems with relay coils, two operating frequencies, two power sources, and the function of characteristic impedance conversion. We measure the characteristics of all systems and compare them with the simulation results. The flexibility of the developed model enables us to design and optimize a complicated system consisting of many coils.
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circuit model based analysis of a wireless energy transfer system via coupled magnetic resonances
IEEE Transactions on Industrial Electronics, 2011Co-Authors: Sanghoon Cheon, Yonghae Kim, Myunglae Lee, Seungyoul Kang, Jongmoo Lee, Taehyoung ZyungAbstract:A simple equivalent-circuit model is developed for a wireless energy-transfer system via coupled magnetic resonances, and a practical design method is also provided. Node equations for the resonance system are built with the method, expanding on the equations for a transformer, and the optimum distances of the coils in the system are derived analytically for optimum coupling coefficients for high transfer efficiency. In order to calculate the frequency characteristics for a lossy system, the equivalent model is established at an electric-design Automation Tool. The model parameters of the actual system are extracted, and the modeling results are compared with measurements. Through the developed model, it is seen that the system can transfer power over a midrange of a few meters and that impedance matching is important to achieve high efficiency.
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circuit model based analysis of a wireless energy transfer system via coupled magnetic resonances
The Transactions of the Korean Institute of Power Electronics, 2011Co-Authors: Sanghoon Cheon, Yonghae Kim, Myunglae Lee, Seungyoul KangAbstract:A Simple equivalent circuit model is developed for a wireless energy transfer system via coupled magnetic resonances and a practical design method is also provided. Node equations for the resonance system are built with the method, expanding on the equations for a transformer, and the optimum distances of coils in the system are derived analytically for optimum coupling coefficients for high transfer efficiency. In order to calculate the frequency characteristics for a lossy system, the equivalent model is established at an electric design Automation Tool. The model parameters of the actual system are extracted and the modeling results are compared with measurements. Through the developed model, it is seen that the system can transfer power over a mid-range of a few meters and impedance matching is important to achieve high efficiency. This developed model can be used for a design and prediction on the similar systems such as increasing the number of receiving coils and receiving modules, etc.
Seungyoul Kang - One of the best experts on this subject based on the ideXlab platform.
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wireless energy transfer system with multiple coils via coupled magnetic resonances
Etri Journal, 2012Co-Authors: Sanghoon Cheon, Yonghae Kim, Myunglae Lee, Seungyoul Kang, Taehyoung ZyungAbstract:A general equivalent circuit model is developed for a wireless energy transfer system composed of multiple coils via coupled magnetic resonances. To verify the developed model, four types of wireless energy transfer systems are fabricated, measured, and compared with simulation results. To model a system composed of n-coils, node equations are built in the form of an n-by-n matrix, and the equivalent circuit model is established using an electric design Automation Tool. Using the model, we can simulate systems with multiple coils, power sources, and loads. Moreover, coupling constants are extracted as a function of the distance between two coils, and we can predict the characteristics of a system having coils at an arbitrary location. We fabricate four types of systems with relay coils, two operating frequencies, two power sources, and the function of characteristic impedance conversion. We measure the characteristics of all systems and compare them with the simulation results. The flexibility of the developed model enables us to design and optimize a complicated system consisting of many coils.
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circuit model based analysis of a wireless energy transfer system via coupled magnetic resonances
IEEE Transactions on Industrial Electronics, 2011Co-Authors: Sanghoon Cheon, Yonghae Kim, Myunglae Lee, Seungyoul Kang, Jongmoo Lee, Taehyoung ZyungAbstract:A simple equivalent-circuit model is developed for a wireless energy-transfer system via coupled magnetic resonances, and a practical design method is also provided. Node equations for the resonance system are built with the method, expanding on the equations for a transformer, and the optimum distances of the coils in the system are derived analytically for optimum coupling coefficients for high transfer efficiency. In order to calculate the frequency characteristics for a lossy system, the equivalent model is established at an electric-design Automation Tool. The model parameters of the actual system are extracted, and the modeling results are compared with measurements. Through the developed model, it is seen that the system can transfer power over a midrange of a few meters and that impedance matching is important to achieve high efficiency.
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circuit model based analysis of a wireless energy transfer system via coupled magnetic resonances
The Transactions of the Korean Institute of Power Electronics, 2011Co-Authors: Sanghoon Cheon, Yonghae Kim, Myunglae Lee, Seungyoul KangAbstract:A Simple equivalent circuit model is developed for a wireless energy transfer system via coupled magnetic resonances and a practical design method is also provided. Node equations for the resonance system are built with the method, expanding on the equations for a transformer, and the optimum distances of coils in the system are derived analytically for optimum coupling coefficients for high transfer efficiency. In order to calculate the frequency characteristics for a lossy system, the equivalent model is established at an electric design Automation Tool. The model parameters of the actual system are extracted and the modeling results are compared with measurements. Through the developed model, it is seen that the system can transfer power over a mid-range of a few meters and impedance matching is important to achieve high efficiency. This developed model can be used for a design and prediction on the similar systems such as increasing the number of receiving coils and receiving modules, etc.
