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| 1 | Finding the optical properties of plasmonic structures by image processing using a combination of convolutional neural networks and recurrent neural networks显示文摘Image processing can be used to extract meaningful optical results from images.Here,from images of plasmonic structures,we combined convolutional neural networks with recurrent neural networks to extract the absorption spectra of structures.To provide the data required for the model,we performed 100,000 simulations with similar setups and random structures.In designing this deep network,we created a model that can predict the absorption response of any structure with a similar setup.We used convolutional neural networks to collect spatial information from the images,and then,we used that data and recurrent neural networks to teach the model to predict the relationship between the spatial information and the absorption spectrum.Our results show that this image processing method is accurate and can be used to replace time-and computationally-intensive numerical simulations.The trained model can predict the optical results in less than a second without the need for a strong computing system.This technique can be easily extended to cover different structures and extract any other optical properties. | Iman Sajedian Jeonghyun Kim Junsuk Rho | 2019 | Microsystems & Nanoengineering2019，5，1： | 9 |
| 2 | The Impact of Robotic Surgery for Mid and Low Rectal Cancer: A Case-Matched Analysis of a 3-Arm Comparison–-Open, Laparoscopic, and Robotic Surgery显示文摘 | Jeonghyun Kang Kyu Jong Yoon Byung Soh Min Hyuk Hur Seung Hyuk Baik Nam Kyu Kim Kang Young Lee | 2013 | Annals of Surgery2013，，1： | 3 |
| 3 | The Impact of Robotic Surgery for Mid and Low Rectal Cancer: A Case-Matched Analysis of a 3-Arm Comparison–-Open, Laparoscopic, and Robotic Surgery显示文摘 | Jeonghyun Kang Kyu Jong Yoon Byung Soh Min Hyuk Hur Seung Hyuk Baik Nam Kyu Kim Kang Young Lee | 2013 | Annals of Surgery2013，，1： | 1 |
| 4 | Recombinant lentivirus-delivered short hairpin RNAs targeted to conserved coxsackievirus sequences protect against viral myocarditis and improve survival rate in an animal model 显示文摘 | Yeon-Jung Kim Jeonghyun Ahn Soo-Young Jeung | 2008 | Virus Genes2008，36，： | 1 |
| 5 | A probabilistic image-weighting scheme fur robust silhouettebased gait recog- nition 显示文摘 | Heesung Lee Jeonghyun Baek Euntai Kim | 2014 | Multimedia Tools and Applications2014，70，3： | 1 |
| 6 | Describing and predicting information-seeking behav- ior on the Web显示文摘 | Jeonghyun K | 2009 | Journal of the Association for Information Sci- ence and Technology2009，60，4： | 1 |
| 7 | Thymidylate Synthase Gene Polymorphism Affects the Response to Preoperative 5-Fluorouracil Chemoradiation Therapy in Patients With Rectal Cancer显示文摘 | Hyuk Hur Jeonghyun Kang Nam Kyu Kim Byung Soh Min Kang Young Lee Sang Joon Shin Ki Chang Keum Junjeong Choi Hoguen Kim Sung Ho Choi Mi-Young Lee | 2011 | International Journal of Radiation Oncology Biology Physics2011，，3： | 1 |
| 8 | Effect of an AlN buffer layer on the epitaxial growth of InN by molecularbeam epitaxy显示文摘 | LU H WILLIAM J S JEONGHYUN H | 2001 | Applied Physics Letter2001，79，10： | 1 |
| 9 | Data sharing and its implications for academic libraries 显示文摘 | Jeonghyun Kim | 2013 | New Library World2013，114，1112： | 1 |
| 10 | N:ZnO/MoS_(2)-heterostructured flexible synaptic devices enabling optoelectronic co-modulation for robust artificial visual systems显示文摘With the merits of non-contact,highly efficient,and parallel computing,optoelectronic synaptic devices combining sensing and memory in a single unit are promising for constructing neuromorphic computing and artificial visual chip.Based on this,a N:ZnO/MoS_(2)-heterostructured flexible optoelectronic synaptic device is developed in this work,and its capability in mimicking the synaptic behaviors is systemically investigated under the electrical and light signals.Versatile synaptic functions,including synaptic plasticity,long-term/short-term memory,and learning-forgetting-relearning property,have been achieved in this synaptic device.Further,an artificial visual memory system integrating sense and memory is emulated with the device array,and the visual memory behavior can be regulated by varying the light parameters.Moreover,the optoelectronic co-modulation behavior is verified by applying mixed electric and light signals to the array.In detail,a transient recovery property is discovered when the electric signals are applied in synergy during the decay of the light response,of which property facilitates the development of robust artificial visual systems.Furthermore,by superimposing electrical signals during the light response process,a differentiated response of the array is achieved,which can be used as a proof of concept for the color perception of the artificial visual system. | Lei Xu Wenxiao Wang Yang Li Yonghui Lin Wenjing Yue Kai Qian Qinglei Guo Jeonghyun Kim Guozhen Shen | 2024 | Nano Research2024，17，3： | 0 |
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