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2019 8th International Symposium on Next Generation Electronics (ISNE)最新文献

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A low power trimming-free relaxation oscillator with process and temperature compensation 具有过程和温度补偿的低功率无微调弛豫振荡器
2019 8th International Symposium on Next Generation Electronics (ISNE) Pub Date : 2019-10-01 DOI: 10.1109/ISNE.2019.8896495
Mengmeng Yao, Yao Wang, Zhaolei Wu, J. Liou
{"title":"A low power trimming-free relaxation oscillator with process and temperature compensation","authors":"Mengmeng Yao, Yao Wang, Zhaolei Wu, J. Liou","doi":"10.1109/ISNE.2019.8896495","DOIUrl":"https://doi.org/10.1109/ISNE.2019.8896495","url":null,"abstract":"A low power trimming-free relaxation oscillator with process and temperature compensation is presented. It adopts a current reference based on transistors working in strong-inversion region and another subthreshold MOSFET current reference to generate the reference voltages for the comparator stage and the charging/discharging current for the oscillator core, respectively. The instability of the time constant RC induced by process and temperature variations are compensated by this scheme. The circuit is designed using TSMC 0.18$mu$m standard CMOS process and simulated with Spectre. Simulations results show that the worst-case variation of the oscillation frequency is ± 4.5% from -20 to 80°C in five different process corners. The power for the proposed oscillator is only 253 nW at 27° C.","PeriodicalId":405565,"journal":{"name":"2019 8th International Symposium on Next Generation Electronics (ISNE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122126937","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}
引用次数: 0
New Physics of Breakdown in 2D Hexagonal Boron Nitride Dielectrics and Its Potential Applications 二维六方氮化硼介质击穿的新物理学及其潜在应用
2019 8th International Symposium on Next Generation Electronics (ISNE) Pub Date : 2019-10-01 DOI: 10.1109/ISNE.2019.8896617
K. Pey, A. Ranjan, N. Raghavan, S. O’Shea
{"title":"New Physics of Breakdown in 2D Hexagonal Boron Nitride Dielectrics and Its Potential Applications","authors":"K. Pey, A. Ranjan, N. Raghavan, S. O’Shea","doi":"10.1109/ISNE.2019.8896617","DOIUrl":"https://doi.org/10.1109/ISNE.2019.8896617","url":null,"abstract":"Hexagonal boron nitride (h-BN) has emerged as one of the promising dielectric materials for the practical realization of graphene nanoelectronics. Although numerous stacks of outperforming 2D material-based transistors have already been demonstrated, very limited insights are available on the reliability aspects of h-BN as a gate dielectric for 2D nanoelectronics. In this work, we review the key similarities and differences in the degradation and breakdown of conventional (SiO2, HfO2) and emerging 2D (h-BN) dielectrics. Some of the key emerging potential applications of h-BN are also highlighted.","PeriodicalId":405565,"journal":{"name":"2019 8th International Symposium on Next Generation Electronics (ISNE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122876061","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}
引用次数: 0
Optimizing Voltage Balancing Method of Power Electronic Transformer Based on MMC 基于MMC的电力电子变压器电压平衡优化方法
2019 8th International Symposium on Next Generation Electronics (ISNE) Pub Date : 2019-10-01 DOI: 10.1109/ISNE.2019.8896462
L. Xu, Baoge Zhang, Donghao Wang
{"title":"Optimizing Voltage Balancing Method of Power Electronic Transformer Based on MMC","authors":"L. Xu, Baoge Zhang, Donghao Wang","doi":"10.1109/ISNE.2019.8896462","DOIUrl":"https://doi.org/10.1109/ISNE.2019.8896462","url":null,"abstract":"In practical engineering applications, capacitor voltage sorting of Modular Multilevel Converter (MMC) in Power Electronic Transformer (PET) input stage is a huge engineering difficulty. To solve the problems of traditional voltage balancing sorting algorithm, such as high switching frequency, large amount of computation and large switching loss, an optimizing voltage balancing method is proposed to reduce time complexity and switching frequency. Firstly, Merge sort is used to select the appropriate elements as reference values of the randomized-select algorithm, and then the randomized-select algorithm is used for quick sorting. On this basis, the reordering factor is introduced. When the difference of capacitance voltage between sub-modules (SMs) is small, it avoids reordering and keeps trigger pulse unchanged; otherwise, it quickly reorders. Selective sorting of MMC controllers not only further reduces the computational complexity of the controllers, but also effectively reduces switching losses. Finally, the feasibility and validity of the proposed optimization method are verified with MATLAB simulation.","PeriodicalId":405565,"journal":{"name":"2019 8th International Symposium on Next Generation Electronics (ISNE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117109037","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}
引用次数: 0
Structural optimization of 273nm deep ultraviolet laser in wave guide 273nm深紫外激光器波导结构优化
2019 8th International Symposium on Next Generation Electronics (ISNE) Pub Date : 2019-10-01 DOI: 10.1109/ISNE.2019.8896409
YanChun Gu, Fang Wang, Yuhuai Liu
{"title":"Structural optimization of 273nm deep ultraviolet laser in wave guide","authors":"YanChun Gu, Fang Wang, Yuhuai Liu","doi":"10.1109/ISNE.2019.8896409","DOIUrl":"https://doi.org/10.1109/ISNE.2019.8896409","url":null,"abstract":"The full width at half maxima (FWHM) of the LDs is very narrow, with small threshold current and high luminous power. Through simulation, it can be seen that the radiation recombination rate and wave intensity of different lateral positions of LDs are different. The waveguide layer of the high Al composition has a lower refractive index and can reduce the divergence angle of light. In this paper, the device structure is optimized by gradually increasing the Al component toward the p-cladding layer and decreasing the Al component toward p-side. Compared with the original structure, the grading wave guide proves that it can have better electrical characteristics and the FWHM is smaller.","PeriodicalId":405565,"journal":{"name":"2019 8th International Symposium on Next Generation Electronics (ISNE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117142530","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}
引用次数: 0
Improve the performance of deep ultraviolet semiconductor lasers by optimizing the electron blocking layer 通过优化电子阻挡层来提高深紫外半导体激光器的性能
2019 8th International Symposium on Next Generation Electronics (ISNE) Pub Date : 2019-10-01 DOI: 10.1109/ISNE.2019.8896513
Qingge Huo, M. I. Niass, Yuhuai Liu, Fang Wang
{"title":"Improve the performance of deep ultraviolet semiconductor lasers by optimizing the electron blocking layer","authors":"Qingge Huo, M. I. Niass, Yuhuai Liu, Fang Wang","doi":"10.1109/ISNE.2019.8896513","DOIUrl":"https://doi.org/10.1109/ISNE.2019.8896513","url":null,"abstract":"A method for improving the performance of deep ultraviolet laser devices by improving the electron blocking layer is proposed. It is applied to deep ultraviolet semiconductor laser diodes through the left tapered electron blocking layer (EBL). Comparison with the right tapered electron blocking layer or the non-tapered electron blocking layer, the laser of left tapered electron blocking layer device exhibits higher efficiency at the time of device, indicating a significant increase in electron transfer and holes, which improves the luminous efficiency of the device.","PeriodicalId":405565,"journal":{"name":"2019 8th International Symposium on Next Generation Electronics (ISNE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131672837","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}
引用次数: 0
A Calibration Algorithm for Real-time Scene-aware Portable Augmented Reality 一种实时场景感知便携式增强现实标定算法
2019 8th International Symposium on Next Generation Electronics (ISNE) Pub Date : 2019-10-01 DOI: 10.1109/ISNE.2019.8896496
Siyu Yu, L. Qi, Y. Tie
{"title":"A Calibration Algorithm for Real-time Scene-aware Portable Augmented Reality","authors":"Siyu Yu, L. Qi, Y. Tie","doi":"10.1109/ISNE.2019.8896496","DOIUrl":"https://doi.org/10.1109/ISNE.2019.8896496","url":null,"abstract":"In order to solve the problem of accurate holographic projection of the point cloud collected by an external high-precision depth camera in HoloLens, we propose an augmented reality calibration algorithm for real-time scene perception. Firstly, we build a portable high-precision real-time sensing system, using external RealSense to collect point cloud data, and the portable host processes and returns the data to HoloLens via a local area network. Secondly, it calibrates the internal parameters of HoloLens' webcam and RealSense depth cameras, then fixed the two cameras for dual purpose calibration, so as to obtain the internal rotation and translation matrix. Finally, the calculated posture computed by the matrix transformation transforms of the virtual object from the RealSense coordinate system displayed in OSG (Open Scene Graph) to HoloLens unified. The Direct X coordinate system is then transformed into the HoloLens Webcam coordinate system, and then the HoloLens API is used to acquire the fixed coordinate system established during the acquisition. At the same time, the virtual object of the holographic projection is accurately merged with the real object, and the spatial anchor is fixed in the real scene, so that the system realizes an accurate and real-time aware augmented reality capability.","PeriodicalId":405565,"journal":{"name":"2019 8th International Symposium on Next Generation Electronics (ISNE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133975623","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}
引用次数: 0
2.5 GHz Data Rate 2 × VDD Digital Output Buffer Design Realized by 16-nm FinFET CMOS 基于16nm FinFET CMOS的2.5 GHz数据速率2 × VDD数字输出缓冲器设计
2019 8th International Symposium on Next Generation Electronics (ISNE) Pub Date : 2019-10-01 DOI: 10.1109/ISNE.2019.8896437
Chua-Chin Wang, S. Lu
{"title":"2.5 GHz Data Rate 2 × VDD Digital Output Buffer Design Realized by 16-nm FinFET CMOS","authors":"Chua-Chin Wang, S. Lu","doi":"10.1109/ISNE.2019.8896437","DOIUrl":"https://doi.org/10.1109/ISNE.2019.8896437","url":null,"abstract":"A 2 × VDD output buffer equipped with SR (slew rate) self-adjustment mechanism driven by a PVT (process, voltage, temperature) detector is proposed in this investigation. Notably, the proposed buffer design is realized by 16-nm FinFET CMOS technology, where specical design constraints required by FinFET must be taken into consideration. In other words, design trade-off will be discussed and highlight. To enhance the output SR, awlays-on driving transistors in Output Stage must be realized with low Vth devices to boost the output current. For FinFET devices, The gate drives of these driving transistors must be stablized to prevent any possible noise interference. Nonoverlapping signaling control is directly realized in transistor level instead of conventional gate level designs such that the the speed is fastened. According to the all-PVT-corner simulations, the worst data rate is 2.5/2.5 GHz with 20 pF loading when the supply voltage is 0.8/1.6 V, respectively. The ∆ SR improvement is at least 10%, when the proposed SR self-adjustment mechanism is activated.","PeriodicalId":405565,"journal":{"name":"2019 8th International Symposium on Next Generation Electronics (ISNE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123958827","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}
引用次数: 1
Classification of Polyps and Adenomas Using Deep Learning Model in Screening Colonoscopy 利用深度学习模型在结肠镜筛查中的息肉和腺瘤分类
2019 8th International Symposium on Next Generation Electronics (ISNE) Pub Date : 2019-10-01 DOI: 10.1109/ISNE.2019.8896649
Xiaoda Liu, Ya Li, Jianning Yao, Bing Chen, Jiayou Song, Xiaonan Yang
{"title":"Classification of Polyps and Adenomas Using Deep Learning Model in Screening Colonoscopy","authors":"Xiaoda Liu, Ya Li, Jianning Yao, Bing Chen, Jiayou Song, Xiaonan Yang","doi":"10.1109/ISNE.2019.8896649","DOIUrl":"https://doi.org/10.1109/ISNE.2019.8896649","url":null,"abstract":"Colorectal cancer (CRC) is the third leading cause of cancer-related death in China. It usually originates from the non-cancerous neoplasm polyps of the colon or rectal epithelium. Some polyps will evolve into precancerous lesions and eventually turn into colorectal cancer, Early screening and removal of adenomas can reduce the risk of colorectal cancer if screened. Unfortunately, more than 60% of colorectal cancer cases are attributed to missed polyps. Therefore, a deep learning network referred to as the faster_rcnn_inception_ resnet_v2 model was introduced for the localization and classification of precancerous lesions. It enables high-precision classification of polyps and adenomas under white light endoscopic images. The Mean Average Precision reached 90.645% when the Intersection over Union is set to 0.5. As an aid to clinicians, the model can improve the detection rate of adenomas and the diagnostic accuracy of early CRC.","PeriodicalId":405565,"journal":{"name":"2019 8th International Symposium on Next Generation Electronics (ISNE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122749577","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}
引用次数: 7
Comparison of multiple feature extractors on Faster RCNN for breast tumor detection 基于快速RCNN的多特征提取器乳腺肿瘤检测比较
2019 8th International Symposium on Next Generation Electronics (ISNE) Pub Date : 2019-10-01 DOI: 10.1109/ISNE.2019.8896490
Zhen Zhang, Yaping Wang, Jiankang Zhang, X. Mu
{"title":"Comparison of multiple feature extractors on Faster RCNN for breast tumor detection","authors":"Zhen Zhang, Yaping Wang, Jiankang Zhang, X. Mu","doi":"10.1109/ISNE.2019.8896490","DOIUrl":"https://doi.org/10.1109/ISNE.2019.8896490","url":null,"abstract":"The Deep learning algorithm shows is strong capability in pattern recognition tasks such as object detection and speech recognition. Comparing with the typical machine learning methods which require extraction of manual features, deep learning algorithm has a more powerful feature learning ability. In this paper, the deep learning associated object detection method is applied to developed to locate and classify lesions for the detection of medical breast masses. At the same time, transfer learning based on the network of Faster RCNN is also introduced. Furthermore, five feature extractors of the network, which are ResNet101, inception V2, inception V3, Mobilenet, and inception ResNet V2, are investigated for exploring the impact for the model. Digital Database for Screening Mammography(DDSM) dataset is used in the investigation, and the performances of the models associated with the five feature extractors are compared separately in detecting benign and malignant breasts, based on the ROC trade-off curves. The simulation results demonstrate that the classification model with Inception ResNet V2 feature extractor exhibit the best performance, compared with the other four feature extractors.","PeriodicalId":405565,"journal":{"name":"2019 8th International Symposium on Next Generation Electronics (ISNE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131682281","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}
引用次数: 11
Deep Feature Screening Method Based on a Cascade Algorithm 基于级联算法的深度特征筛选方法
2019 8th International Symposium on Next Generation Electronics (ISNE) Pub Date : 2019-10-01 DOI: 10.1109/ISNE.2019.8896681
Shuai Wang, Liqiang Pei, Runjie Liu, Jinyuan Shen
{"title":"Deep Feature Screening Method Based on a Cascade Algorithm","authors":"Shuai Wang, Liqiang Pei, Runjie Liu, Jinyuan Shen","doi":"10.1109/ISNE.2019.8896681","DOIUrl":"https://doi.org/10.1109/ISNE.2019.8896681","url":null,"abstract":"To improve the recognition speed and reduce the affection of the redundancy information in pattern recognition, the features should be screened to move those features that have smaller influences. A new joint feature screening method is proposed. A clustering-based dispersion ratio algorithm is used to screen features initially in order to remove those features which have worse intra-class consistency and interclass difference. Then an improved genetic algorithm is employed to deeply screen features and obtain the candidate feature subsets. At last, the inferred statistics is applied to obtain the support of each feature and the best feature subset can be obtained according to the supports. The experimental results show that the joint screening method proposed in this paper can improve not only the classification speed but also the recognition rate.","PeriodicalId":405565,"journal":{"name":"2019 8th International Symposium on Next Generation Electronics (ISNE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127496605","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}
引用次数: 0
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