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Shape-tailored whispering gallery microcavity lasers designed by transformation optics

Photonics Research 2023年第9期11卷 I0010-I0018页

作者： YONG-HOON LEE HONGHWI PARK INBO kim SANG-JUN PARK SUNGHWAN RIM BYOUNG JUN PARK MOOHYUK kim YUSHIN kim MYUNG-KI kim WON SEOK HAN hosung kim HONGSIK PARK MUHAN CHOI School of Electronic and Electrical Engineering Kyungpook National UniversityDaegu 41566Republic of Korea Photonic/Wireless Devices Research Division Electronics and Telecommunications Research Institute(ETRI)Daejeon 34129Republic of Korea Digital Technology Research Center Kyungpook National UniversityDaegu 41566Republic of Korea KU-KIST Graduate School of Converging Science and Technology Korea UniversitySeoul 02841Republic of Korea

Semiconductor microdisk lasers have great potential as low-threshold,high-speed,and small-form-factor light sources required for photonic integrated circuits because of their high-Q factors associated with long-lived whispering gallery modes(WGMs).Despite these advantages,the rotational symmetry of the disk shape restricts practical applications of the photonic devices because of their isotropic emission,which lacks directionality in far-field emission and difficulty in free-space out *** overcome this problem,deformation of the disk cavity has been mainly ***,the approach cannot avoid significant Q degradation owing to the broken rotational ***,we first report a deformed shape microcavity laser based on transformation optics,which exploits WGMs free from Q *** deformed cavity laser was realized by a spatially varying distribution of deep-sub-wavelength-scale(60 nm diameter)nanoholes in an InGaAsP-based multi-quantum-well *** lasing threshold of our laser is one-third of that of the same shaped homogeneous laser and quite similar to that of a homogeneous microdisk *** results mean that Q spoiling caused by the boundary shape deformation is recovered by spatially varying nanohole density distribution designed by transformation optics and effective medium approximation.

关键词： optics transformation deformed

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Al-incorporation into Li7La3Zr2O12 solid electrolyte keeping stabilized cubic phase for all-solid-state Li batteries

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Journal of Energy Chemistry 2018年第5期27卷 1501-1508页

作者： Changbin Im Dongwon Park hosung kim Jaeyoung Lee Chemical Energy Storage and Transformation Center (CHESS) Research Institute for Solar and Sustainable Energies (RISE) Gwangju Institute of Science and Technology (GIST)Gwangju 500-712 South Korea Ertl Center for Electrochemistry and Catalysis GIST Research Institute GIST Gwangju 500-712 South Korea Electrochemical Reaction and Technology Laboratory School of Earth Scieences and Environmental Engineering GIST Cwangju 500-712 South Korea Gwangju Research Center Korea Institute of Industrial Technology (KITECH) Gwangju 61012 South Korea

We observe the influence of AI occupancies in Li sites on the formation process of the garnet solid elec- trolyte of Li_7La_3Zr_2O_12 （LLZO）. A direct incorporation of AI is first promoted in a Li-insufficient garnet solid electrolyte during the calcination process of 850 ℃ and then the cubic phase of LLZO is obtained after successive annealing step of 1000 ℃. Comparing to pristine LLZO, AI incorporated LLZO shows less formation of Li_2CO_3, keeping crystallographic and physicochemical properties. This AI incorporation im- proves both the ionic conductivity and interfacial resistance to poisoning procedure.

关键词： Li_7La_3Zr_2O_12 AI incorporation Garnet solid electrolyte Cubic phase

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Volume Estimation of Small Scale Debris Flows Based on Observations of Topographic Changes Using Airborne LiDAR DEMs

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Journal of Mountain Science 2014年第3期11卷 578-591页

作者： hosung kim Seung Woo LEE Chan-Young YUNE Gihong kim Department of Civil Engineering Gangneung-Wonju National University

This paper describes a geographic information system(GIS)-based method for observing changes in topography caused by the initiation, transport, and deposition of debris flows using highresolution light detection and ranging(LiDAR) digital elevation models(DEMs) obtained before and after the debris flow events. The paper also describes a method for estimating the volume of debris flows using the differences between the LiDAR DEMs. The relative and absolute positioning accuracies of the LiDAR DEMs were evaluated using a real-time precise global navigation satellite system(GNSS) positioning method. In addition, longitudinal and cross-sectional profiles of the study area were constructed to determine the topographic changes caused by the debris flows. The volume of the debris flows was estimated based on the difference between the LiDAR DEMs. The accuracies of the relative and absolute positioning of the two LiDAR DEMs were determined to be ±10 cm and ±11 cm RMSE, respectively, which demonstrates the efficiency of the method for determining topographic changes at an scale equivalent to that of field investigations. Based on the topographic changes, the volume of the debris flows in the study area was estimated to be 3747 m3, which is comparable with the volume estimated based on the data from field investigations.

关键词：激光雷达观测地形变化体积流量 DEM 估计量全球导航卫星系统数字高程模型机载

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TP-MobNet: A Two-pass Mobile Network for Low-complexity Classification of Acoustic Scene

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Computers, Materials & Continua 2022年第11期73卷 3291-3303页

作者： Soonshin Seo Junseok Oh Eunsoo Cho hosung Park Gyujin kim Ji-Hwan kim NAVER Corporation Seongnam13561Korea Department of Computer Science and Engineering Sogang UniversitySeoul04107Korea

Acoustic scene classification(ASC)is a method of recognizing and classifying environments that employ acoustic *** ASC approaches based on deep learning have been developed,with convolutional neural networks(CNNs)proving to be the most reliable and commonly utilized in ASC systems due to their suitability for constructing lightweight *** using ASC systems in the real world,model complexity and device robustness are essential *** this paper,we propose a two-pass mobile network for low-complexity classification of the acoustic scene,named *** inverse residuals and linear bottlenecks,TPMobNet is based on MobileNetV2,and following mobile blocks,coordinate attention and two-pass fusion approaches are *** log-range dependencies and precise position information in feature maps can be trained via coordinate *** capturing more diverse feature resolutions at the network’s end sides,two-pass fusions can also train ***,the model size is reduced by applying weight quantization to the trained *** adding weight quantization to the trained model,the model size is also *** TAU Urban Acoustic Scenes 2020 Mobile development set was used for all of the *** has been confirmed that the proposed model,with a model size of 219.6 kB,achieves an accuracy of 73.94%.

关键词： Acoustic scene classification low-complexity device robustness two-pass mobile network coordinate attention weight quantization

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Language Model Using Differentiable Neural Computer Based on Forget Gate-Based Memory Deallocation

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Computers, Materials & Continua 2021年第7期68卷 537-551页

作者： Donghyun Lee hosung Park Soonshin Seo Changmin kim Hyunsoo Son Gyujin kim Ji-Hwan kim Department of Computer Science and Engineering Sogang UniversitySeoul04107Korea

A differentiable neural computer(DNC)is analogous to the Von Neumann machine with a neural network controller that interacts with an external memory through an attention *** DNC’s offer a generalized method for task-specific deep learning models and have demonstrated reliability with reasoning *** this study,we apply a DNC to a language model(LM)*** LM task is one of the reasoning problems,because it can predict the next word using the previous word ***,memory deallocation is a problem in DNCs as some information unrelated to the input sequence is not allocated and remains in the external memory,which degrades ***,we propose a forget gatebased memory deallocation(FMD)method,which searches for the minimum value of elements in a forget gate-based retention *** forget gatebased retention vector indicates the retention degree of information stored in each external memory *** experiments,we applied our proposed NTM architecture to LM tasks as a task-specific example and to rescoring for speech recognition as a general-purpose *** LM tasks,we evaluated DNC using the Penn Treebank and enwik8 LM *** it does not yield SOTA results in LM tasks,the FMD method exhibits relatively improved performance compared with DNC in terms of *** the speech recognition rescoring tasks,FMD again showed a relative improvement using the LibriSpeech data in terms of word error rate.

关键词： Forget gate-based memory deallocation differentiable neural computer language model forget gate-based retention vector

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Long Short-Term Memory Recurrent Neural Network-Based Acoustic Model Using Connectionist Temporal Classification on a Large-Scale Training Corpus

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China Communications 2017年第9期14卷 23-31页

作者： Donghyun Lee Minkyu Lim hosung Park Yoseb Kang Jeong-Sik Park Gil-Jin Jang Ji-Hwan kim Department of Computer Science and Engineering Sogang University Department of Information and Communication Engineering Yeungnam University School of Electronics Engineering Kyungpook National University

A Long Short-Term Memory(LSTM) Recurrent Neural Network(RNN) has driven tremendous improvements on an acoustic model based on Gaussian Mixture Model(GMM). However, these models based on a hybrid method require a forced aligned Hidden Markov Model(HMM) state sequence obtained from the GMM-based acoustic model. Therefore, it requires a long computation time for training both the GMM-based acoustic model and a deep learning-based acoustic model. In order to solve this problem, an acoustic model using CTC algorithm is proposed. CTC algorithm does not require the GMM-based acoustic model because it does not use the forced aligned HMM state sequence. However, previous works on a LSTM RNN-based acoustic model using CTC used a small-scale training corpus. In this paper, the LSTM RNN-based acoustic model using CTC is trained on a large-scale training corpus and its performance is evaluated. The implemented acoustic model has a performance of 6.18% and 15.01% in terms of Word Error Rate(WER) for clean speech and noisy speech, respectively. This is similar to a performance of the acoustic model based on the hybrid method.

关键词： acoustic model connectionisttemporal classification large-scale trainingcorpus long short-term memory recurrentneural network

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The Effect of Cardiovascular Responses after Aerobic Exercise in Menstrual Cycle

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Health 2017年第3期9卷 425-434页

作者： Joonsung Park Mi-Song kim hosung Nho Kyung-Ae kim Jong-Kyung kim Hyun-Min Choi Graduate School of Physical Education Kyung Hee University Yongin South Korea

Purpose: We investigated the effect of menstrual cycle on the cardiovascular responses during recovery period from exercise. 10 healthy women were participated in the early follicular phase (EP: low estrogen and low progesterone: 1 - 4 days) and the late follicular phase (LP: high estrogen and low progesterone: 10 - 13 days) during menstrual cycle. Methods: All subjects completed a graded cycling exercise testing to determine the relative exercise intensity. All subjects were assessed systolic blood pressure (SBP), diastolic blood pressure (DBP), mean arterial pressure (MAP), heart rate (HR), stroke volume (SV), cardiac output (CO), and total vascular conductance (TVC) at resting and during recovery period from moderated cycling exercise during EP and LP. Results: During EP, compared with LP, resting SBP and MAP were higher and TVC was lower (p p Conclusions: This study could be increased the peripheral vasoconstriction in low estrogen levels. And during early follicular phase with low estrogen level, it may maintain an increased blood pressure during recovery period following cycling. We suggest that the timing of the menstrual cycle should be considered when measuring blood pressure during clinical exercise testing.

关键词： Early Follicular Phase Late Follicular Phase Estrogen Cardiovascular Response Healthy Women

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