Pub Date : 2023-02-05DOI: 10.1109/ICEIC57457.2023.10049847
Dasol Jeong, Injae Lee, J. Paik
Audio driven talking face methods have been studied to process the accuracy lip synchronization. However, how to create movement of head poses and personalized facial features is a challenging problem. In order to solve this problem, it is necessary to identify the context based on the audio, create the head pose and lip motion, and synthesize the personalized face. We introduce a facial landmark generation method including audio-based head pose and lip motion using an audio transformer. The audio transformer extracts audio features containing contextual information and creates generalized head pose and lip motion landmarks. In order to synthesize personalized features on the generated landmarks, a talking face video is generated by applying the method learned through meta-learning. With just a few single images, even unknown faces can be spoken in the audio you want. In addition, the proposed method is applicable to various languages, and enables photo-realistic synthesis and fast inference.
{"title":"Audio-to-Facial Landmarks Generator for Talking Face Video Synthesis","authors":"Dasol Jeong, Injae Lee, J. Paik","doi":"10.1109/ICEIC57457.2023.10049847","DOIUrl":"https://doi.org/10.1109/ICEIC57457.2023.10049847","url":null,"abstract":"Audio driven talking face methods have been studied to process the accuracy lip synchronization. However, how to create movement of head poses and personalized facial features is a challenging problem. In order to solve this problem, it is necessary to identify the context based on the audio, create the head pose and lip motion, and synthesize the personalized face. We introduce a facial landmark generation method including audio-based head pose and lip motion using an audio transformer. The audio transformer extracts audio features containing contextual information and creates generalized head pose and lip motion landmarks. In order to synthesize personalized features on the generated landmarks, a talking face video is generated by applying the method learned through meta-learning. With just a few single images, even unknown faces can be spoken in the audio you want. In addition, the proposed method is applicable to various languages, and enables photo-realistic synthesis and fast inference.","PeriodicalId":373752,"journal":{"name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116965539","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 : 2023-02-05DOI: 10.1109/ICEIC57457.2023.10049940
Eun-Gyeong Ham, Yujin Jeon, Jaeyun Lim, Ji-Hoon Kim
Following the market trend, fast and strict verification of hardware architecture is essential for saving cost and time of production. Recently, Verilator, an open-source Verilog simulator, is widely used due to its fast simulation time as well as easy-to-use property. In this paper, we present a fast verification methodology for BLE (Bluetooth Low Energy) MAC (Medium Access Control) hardware based on Verilator. Since C++-based modeling can be easily integrated into the Verilog-based hardware platform with Verilator, complex verification scenarios with various parameter configurations can be supported. Compared to the commercial Verilog simulator, our verification platform shows up to 5.94 times of improvement in terms of simulation time.
随着市场的发展趋势，快速严格的硬件架构验证对于节省成本和生产时间至关重要。最近，Verilator，一个开源的Verilog模拟器，由于其快速的仿真时间和易于使用的特性而被广泛使用。本文提出了一种基于Verilator的低功耗蓝牙(Bluetooth Low Energy) MAC (Medium Access Control)硬件的快速验证方法。由于基于c++的建模可以通过Verilator轻松地集成到基于verilog的硬件平台中，因此可以支持具有各种参数配置的复杂验证场景。与商用Verilog模拟器相比，我们的验证平台在仿真时间方面提高了5.94倍。
{"title":"Verilator-based Fast Verification Methodology for BLE MAC Hardware","authors":"Eun-Gyeong Ham, Yujin Jeon, Jaeyun Lim, Ji-Hoon Kim","doi":"10.1109/ICEIC57457.2023.10049940","DOIUrl":"https://doi.org/10.1109/ICEIC57457.2023.10049940","url":null,"abstract":"Following the market trend, fast and strict verification of hardware architecture is essential for saving cost and time of production. Recently, Verilator, an open-source Verilog simulator, is widely used due to its fast simulation time as well as easy-to-use property. In this paper, we present a fast verification methodology for BLE (Bluetooth Low Energy) MAC (Medium Access Control) hardware based on Verilator. Since C++-based modeling can be easily integrated into the Verilog-based hardware platform with Verilator, complex verification scenarios with various parameter configurations can be supported. Compared to the commercial Verilog simulator, our verification platform shows up to 5.94 times of improvement in terms of simulation time.","PeriodicalId":373752,"journal":{"name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125054240","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 : 2023-02-05DOI: 10.1109/ICEIC57457.2023.10049949
Seunghyun Park, Daejin Park
To make the acoustic signal that was processed by the noise canceller sound more natural for users [1]–[3], the delay in anti-noise generation should be reduced. For a single buffer, processing delay occurrs because it is impossible to write input signals while the processor is processing the data. when interfering with anti-noise and output signal, this processing delay creates additional buffering overhead to match the phase. The processing delay can be minimized using an Even-/Odd-buffer Structure to alternately read and write operations. In addition, the differences between the two methods of noise cancellation (FFT-based noise cancellation and adaptive algorithm) are compared in terms of output signal quality, processing time, and power consumption. As a result, using an Even-/Odd-buffer, reduced the processing delay of a single buffer. The FFT-based noise canceling method experienced fewer errors than the adaptive noise canceling method.
{"title":"Lightweighted FPGA Implementation of Even-Odd-Buffered Active Noise Canceller with On-Chip Convolution Acceleration Units","authors":"Seunghyun Park, Daejin Park","doi":"10.1109/ICEIC57457.2023.10049949","DOIUrl":"https://doi.org/10.1109/ICEIC57457.2023.10049949","url":null,"abstract":"To make the acoustic signal that was processed by the noise canceller sound more natural for users [1]–[3], the delay in anti-noise generation should be reduced. For a single buffer, processing delay occurrs because it is impossible to write input signals while the processor is processing the data. when interfering with anti-noise and output signal, this processing delay creates additional buffering overhead to match the phase. The processing delay can be minimized using an Even-/Odd-buffer Structure to alternately read and write operations. In addition, the differences between the two methods of noise cancellation (FFT-based noise cancellation and adaptive algorithm) are compared in terms of output signal quality, processing time, and power consumption. As a result, using an Even-/Odd-buffer, reduced the processing delay of a single buffer. The FFT-based noise canceling method experienced fewer errors than the adaptive noise canceling method.","PeriodicalId":373752,"journal":{"name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125890637","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 : 2023-02-05DOI: 10.1109/ICEIC57457.2023.10049874
Taewan Kim
The learning capacity of general deep learning models for object detection would not be large enough to represent real-world scene dynamics, and thus such models would be weak to ‘unseen’ data due to environmental changes. Therefore, in this study, we propose a new method to continuously improve the object detection algorithms by applying negative and positive learning mechanisms, especially for intrusion detector in video surveillance systems. By applying an iterative process where the current model is updating using new incoming data with a state-of-the-art model in a continual process of adaptation. The experimental results in various challenging videos for real video surveillance systems demonstrate that the proposed method offers a significantly improved algorithm accuracy with a low complexity, thus it is adapted for real-world systems.
{"title":"AI Feedback Architecture of Video Surveillance System","authors":"Taewan Kim","doi":"10.1109/ICEIC57457.2023.10049874","DOIUrl":"https://doi.org/10.1109/ICEIC57457.2023.10049874","url":null,"abstract":"The learning capacity of general deep learning models for object detection would not be large enough to represent real-world scene dynamics, and thus such models would be weak to ‘unseen’ data due to environmental changes. Therefore, in this study, we propose a new method to continuously improve the object detection algorithms by applying negative and positive learning mechanisms, especially for intrusion detector in video surveillance systems. By applying an iterative process where the current model is updating using new incoming data with a state-of-the-art model in a continual process of adaptation. The experimental results in various challenging videos for real video surveillance systems demonstrate that the proposed method offers a significantly improved algorithm accuracy with a low complexity, thus it is adapted for real-world systems.","PeriodicalId":373752,"journal":{"name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126646511","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 : 2023-02-05DOI: 10.1109/ICEIC57457.2023.10049970
Sebin Heo, Bezawit Habtamu Nuriye, Beomseok Oh
In this paper, a novel approach of extracting features from multivariate time-series (MTS) with different time lengths, is proposed to enhance the clustering accuracy. Particularly, the feature extraction is conducted on time-sample segments of MTS, in which several segments are defined without overlapping. As for feature extractor, the conventional two-dimensional principal component analysis (2DPCA) is deployed due to its proven effectiveness in feature representation. Our experimental results show that the proposed segment-wise extraction of 2DPCA features is helpful in enhancing the clustering accuracy.
{"title":"A segment-wise extraction of multivariate time-series features for Grassmann clustering","authors":"Sebin Heo, Bezawit Habtamu Nuriye, Beomseok Oh","doi":"10.1109/ICEIC57457.2023.10049970","DOIUrl":"https://doi.org/10.1109/ICEIC57457.2023.10049970","url":null,"abstract":"In this paper, a novel approach of extracting features from multivariate time-series (MTS) with different time lengths, is proposed to enhance the clustering accuracy. Particularly, the feature extraction is conducted on time-sample segments of MTS, in which several segments are defined without overlapping. As for feature extractor, the conventional two-dimensional principal component analysis (2DPCA) is deployed due to its proven effectiveness in feature representation. Our experimental results show that the proposed segment-wise extraction of 2DPCA features is helpful in enhancing the clustering accuracy.","PeriodicalId":373752,"journal":{"name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122769739","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 : 2023-02-05DOI: 10.1109/ICEIC57457.2023.10049917
Jahir Uddin, Muntasir Ahad, Abdulla Hil Kafi
UASs are used for a variety of sophisticated missions. It is critical to protect people and property from any unwanted and uncontrolled UAS behavior. The goal of this research is to offer an intelligent, event-based kill-switch with developed secure authorization algorithm. It has a fully manual mode of operation and is capable of autonomous decision-making. This is a multipurpose kill-switch to terminate sixteen flying drones at a time and wake them up all at once or individually.
{"title":"Wireless event-based kill-switch for safe and autonomous UAS operation","authors":"Jahir Uddin, Muntasir Ahad, Abdulla Hil Kafi","doi":"10.1109/ICEIC57457.2023.10049917","DOIUrl":"https://doi.org/10.1109/ICEIC57457.2023.10049917","url":null,"abstract":"UASs are used for a variety of sophisticated missions. It is critical to protect people and property from any unwanted and uncontrolled UAS behavior. The goal of this research is to offer an intelligent, event-based kill-switch with developed secure authorization algorithm. It has a fully manual mode of operation and is capable of autonomous decision-making. This is a multipurpose kill-switch to terminate sixteen flying drones at a time and wake them up all at once or individually.","PeriodicalId":373752,"journal":{"name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128452040","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 : 2023-02-05DOI: 10.1109/ICEIC57457.2023.10049979
Ramil Cobilla, Jhon Carlo Dichoso, Al. Minon, April Kate Pascual, Mideth B. Abisado, Shekinah Lor B. Huyo-a, G. Sampedro
A brain tumor is recognized as one of the most invasive things to operate on. Cancer develops inside the brain due to unregulated and aberrant cell partitioning. The recent breakthroughs in deep learning greatly aided the medical imaging sector in diagnosing numerous diseases. In MR images, visual learning and image recognition have been used to classify the type of brain tumor. The researchers utilized a Convolutional Neural Network (CNN) approach, Data Augmentation, and Image Processing to organize brain MRI scans as cancerous or non-cancerous. Using the transfer learning method, the researchers compared the performance of the primary CNN model to that of pre-trained CNN and Xception models. However, the experiment was conducted on a limited dataset. Later results reveal that the model’s accuracy result is very effective and has a meager complexity rate, attaining 96% accuracy on the Xception Model.
{"title":"Classification of the Type of Brain Tumor in MRI Using Xception Model","authors":"Ramil Cobilla, Jhon Carlo Dichoso, Al. Minon, April Kate Pascual, Mideth B. Abisado, Shekinah Lor B. Huyo-a, G. Sampedro","doi":"10.1109/ICEIC57457.2023.10049979","DOIUrl":"https://doi.org/10.1109/ICEIC57457.2023.10049979","url":null,"abstract":"A brain tumor is recognized as one of the most invasive things to operate on. Cancer develops inside the brain due to unregulated and aberrant cell partitioning. The recent breakthroughs in deep learning greatly aided the medical imaging sector in diagnosing numerous diseases. In MR images, visual learning and image recognition have been used to classify the type of brain tumor. The researchers utilized a Convolutional Neural Network (CNN) approach, Data Augmentation, and Image Processing to organize brain MRI scans as cancerous or non-cancerous. Using the transfer learning method, the researchers compared the performance of the primary CNN model to that of pre-trained CNN and Xception models. However, the experiment was conducted on a limited dataset. Later results reveal that the model’s accuracy result is very effective and has a meager complexity rate, attaining 96% accuracy on the Xception Model.","PeriodicalId":373752,"journal":{"name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130418446","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 : 2023-02-05DOI: 10.1109/ICEIC57457.2023.10049851
Sujin Park, Yi-Gyeong Kim, Young-Deuk Jeon, Min-Hyung Cho, Jinho Han, Youngsu Kwon
This paper describes a 2.5D large-scale interposer bonding process verification method using a daisy chain (DC) for PIM heterogeneous integration platform. The target platform is composed of 8 high bandwidth memories (HBMs), 2 NPUs, an RDL interposer, and a substrate. To check the feasibility of the bonding process, NPU DC die having 48μm×55μm grid μ-bump is designed with a ring-shaped DC at the edge and corner. In addition, the DC pattern for HBM PHY and the die-to-die connection is implemented line-by-line to check the high-density wire connection area which has an offset to minimize the diagonal connection. For the interposer having 192μm×220μm gird C4-bump and the substrate having 1mm×1mm BGA ball, not only IN/OUT pins but also DCs are configured. The large-scale netlists are implemented by unifying the viewpoint to the bottom view. The bonding process verification could improve the cost efficiency of the 2.5D platform and the performance of the live interposer by optimizing the placement.
{"title":"2.5D Large-Scale Interposer Bonding Process Verification using Daisy-Chain for PIM Heterogeneous Integration Platform","authors":"Sujin Park, Yi-Gyeong Kim, Young-Deuk Jeon, Min-Hyung Cho, Jinho Han, Youngsu Kwon","doi":"10.1109/ICEIC57457.2023.10049851","DOIUrl":"https://doi.org/10.1109/ICEIC57457.2023.10049851","url":null,"abstract":"This paper describes a 2.5D large-scale interposer bonding process verification method using a daisy chain (DC) for PIM heterogeneous integration platform. The target platform is composed of 8 high bandwidth memories (HBMs), 2 NPUs, an RDL interposer, and a substrate. To check the feasibility of the bonding process, NPU DC die having 48μm×55μm grid μ-bump is designed with a ring-shaped DC at the edge and corner. In addition, the DC pattern for HBM PHY and the die-to-die connection is implemented line-by-line to check the high-density wire connection area which has an offset to minimize the diagonal connection. For the interposer having 192μm×220μm gird C4-bump and the substrate having 1mm×1mm BGA ball, not only IN/OUT pins but also DCs are configured. The large-scale netlists are implemented by unifying the viewpoint to the bottom view. The bonding process verification could improve the cost efficiency of the 2.5D platform and the performance of the live interposer by optimizing the placement.","PeriodicalId":373752,"journal":{"name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130602862","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 : 2023-02-05DOI: 10.1109/ICEIC57457.2023.10049941
Jeongho Kim, Seung-Ho Lee
Recently, in speech emotion recognition, a Transformer-based method using spectrogram images instead of sound data showed improved accuracy than Convolutional Neural Networks (CNNs). Vision Transformer (ViT), a Transformer-based method, achieves high classification accuracy by using divided patches from the input image, but has a problem in that pixel position information is not retained due to embedding layers such as linear projection. Therefore, in this paper, we propose a novel method of improve ViT-based speech emotion recognition using coordinate information concatenate. Since the proposed method retains pixel position information by concatenating coordinate information to the input image, the accuracy of CREMA-D is greatly improved by 82.96% compared to the state-of-art about CREMA-D. As a result, it proved that the coordinate information concatenate proposed in this paper is effective not only for CNNs but also for Transformers.
{"title":"CoordViT: A Novel Method of Improve Vision Transformer-Based Speech Emotion Recognition using Coordinate Information Concatenate","authors":"Jeongho Kim, Seung-Ho Lee","doi":"10.1109/ICEIC57457.2023.10049941","DOIUrl":"https://doi.org/10.1109/ICEIC57457.2023.10049941","url":null,"abstract":"Recently, in speech emotion recognition, a Transformer-based method using spectrogram images instead of sound data showed improved accuracy than Convolutional Neural Networks (CNNs). Vision Transformer (ViT), a Transformer-based method, achieves high classification accuracy by using divided patches from the input image, but has a problem in that pixel position information is not retained due to embedding layers such as linear projection. Therefore, in this paper, we propose a novel method of improve ViT-based speech emotion recognition using coordinate information concatenate. Since the proposed method retains pixel position information by concatenating coordinate information to the input image, the accuracy of CREMA-D is greatly improved by 82.96% compared to the state-of-art about CREMA-D. As a result, it proved that the coordinate information concatenate proposed in this paper is effective not only for CNNs but also for Transformers.","PeriodicalId":373752,"journal":{"name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"53 26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123307408","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 : 2023-02-05DOI: 10.1109/ICEIC57457.2023.10049864
Jaeyeop Na, Kwan-Su Kim
In this paper, a 3.3 kV 4H-SiC MOSFET structure with a floating island and a built-in heterojunction diode (FIHJD-MOSFET) is proposed, and analyzed by TCAD simulator. The floating island in the FIHJD-MOSFET not only improves the static performance of the device through charge balancing but also protects the P+ polysilicon region from a high electric field. Owing to this, the FIHJD-MOSFET operates stably even at high voltage, and the reverse recovery charge and the switching loss are also improved through the built-in heterojunction diode. As a result, B-FOM of FIHJD-MOSFET improved by 67.4 %, and reverse recovery charge and total switching loss were improved by 72.7 % and 66.4 % respectively, compared to conventional diffusion MOSFET (C-DMOSFET).
{"title":"High Performance 3.3KV 4H-SiC MOSFET with a Floating Island and Hetero Junction Diode","authors":"Jaeyeop Na, Kwan-Su Kim","doi":"10.1109/ICEIC57457.2023.10049864","DOIUrl":"https://doi.org/10.1109/ICEIC57457.2023.10049864","url":null,"abstract":"In this paper, a 3.3 kV 4H-SiC MOSFET structure with a floating island and a built-in heterojunction diode (FIHJD-MOSFET) is proposed, and analyzed by TCAD simulator. The floating island in the FIHJD-MOSFET not only improves the static performance of the device through charge balancing but also protects the P+ polysilicon region from a high electric field. Owing to this, the FIHJD-MOSFET operates stably even at high voltage, and the reverse recovery charge and the switching loss are also improved through the built-in heterojunction diode. As a result, B-FOM of FIHJD-MOSFET improved by 67.4 %, and reverse recovery charge and total switching loss were improved by 72.7 % and 66.4 % respectively, compared to conventional diffusion MOSFET (C-DMOSFET).","PeriodicalId":373752,"journal":{"name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114365218","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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