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| 1 | Machine Learning-Based Multi-Modal Information Perception for Soft Robotic Hands显示文摘This paper focuses on multi-modal Information Perception(IP)for Soft Robotic Hands(SRHs)using Machine Learning(ML)algorithms.A flexible Optical Fiber-based Curvature Sensor(OFCS)is fabricated,consisting of a Light-Emitting Diode(LED),photosensitive detector,and optical fiber.Bending the roughened optical fiber generates lower light intensity,which reflecting the curvature of the soft finger.Together with the curvature and pressure information,multi-modal IP is performed to improve the recognition accuracy.Recognitions of gesture,object shape,size,and weight are implemented with multiple ML approaches,including the Supervised Learning Algorithms(SLAs)of K-Nearest Neighbor(KNN),Support Vector Machine(SVM),Logistic Regression(LR),and the unSupervised Learning Algorithm(un-SLA)of K-Means Clustering(KMC).Moreover,Optical Sensor Information(OSI),Pressure Sensor Information(PSI),and Double-Sensor Information(DSI)are adopted to compare the recognition accuracies.The experiment results demonstrate that the proposed sensors and recognition approaches are feasible and effective.The recognition accuracies obtained using the above ML algorithms and three modes of sensor information are higer than 85 percent for almost all combinations.Moreover,DSI is more accurate when compared to single modal sensor information and the KNN algorithm with a DSI outperforms the other combinations in recognition accuracy. | Haiming Huang Junhao Lin Linyuan Wu Bin Fang Zhenkun Wen Fuchun Sun | 2020 | Tsinghua Science and Technology2020，25，2： | 4 |
| 2 | The effect of SARS-CoV-2 infection on human embryo early development:a multicenter prospective cohort study显示文摘Dear Editor,Severe acute respiratory syndrome coronavirus 2(SARSCo V-2)infection has swept the globe for 3 years(Zhou et al.,2020).With the nationwide relaxation of controls on the coronavirus disease 2019(COVID-19)epidemic since December 2022 in China,fertility and in vitro fertilization(IVF)centers are receiving increasing numbers of infected patients. | Xiaolei Chen Huangcong Shi Cheng Li Wanxia Zhong Linlin Cui Wenjun Zhang Ling Geng Kuona Hu Mei Fang Daimin Wei Junhao Yan Yun Sun Keliang Wu Han Zhao Zi-Jiang Chen | 2023 | Science China(Life Sciences)2023，66，7： | 1 |
| 3 | A review of in situ transmission electron microscopy study on the switching mechanism and packaging reliability in non-volatile memory显示文摘Non-volatile memory(NVM)devices with non-volatility and low power consumption properties are important in the data storage field.The switching mechanism and packaging reliability issues in NVMs are of great research interest.The switching process in NVM devices accompanied by the evolution of microstructure and composition is fast and subtle.Transmission electron microscopy(TEM)with high spatial resolution and versatile external fields is widely used in analyzing the evolution of morphology,structures and chemical compositions at atomic scale.The various external stimuli,such as thermal,electrical,mechanical,optical and magnetic fields,provide a platform to probe and engineer NVM devices inside TEM in real-time.Such advanced technologies make it possible for an in situ and interactive manipulation of NVM devices without sacrificing the resolution.This technology facilitates the exploration of the intrinsic structure-switching mechanism of NVMs and the reliability issues in the memory package.In this review,the evolution of the functional layers in NVM devices characterized by the advanced in situ TEM technology is introduced,with intermetallic compounds forming and degradation process investigated.The principles and challenges of TEM technology on NVM device study are also discussed. | Xin Yang Chen Luo Xiyue Tian Fang Liang Yin Xia Xinqian Chen Chaolun Wang Steve Xin Liang Xing Wu Junhao Chu | 2021 | Journal of Semiconductors2021，42，1： | 1 |
| 4 | Unveiling the Carbonation Behavior and Microstructural Changes of Magnesium Slag at 0℃显示文摘Magnesium slag(MS)is an industrial byproduct with high CO_(2)sequestration potential.This study investigates the carbonation behavior and microstructural changes of MS during wet carbonation at 0℃.XRD,TG,FTIR,SEM,and BET techniques were used to characterize the phase composition,microstructure,and porosity of MS samples carbonated for different durations.The results showed that the main carbonation products were calcite,vaterite,and highly polymerized silica gel,with particle sizes around 1μm.The low-temperature environment retarded the carbonation reaction rate and affected the morphology and crystallization of calcium carbonate.After 480 min of carbonation,the specific surface area and porosity of MS increased substantially by 740%and 144.6%,respectively,indicating improved reactivity.The microstructure of carbonated MS became denser with calcite particles surrounded by silica gel.This study demonstrates that wet carbonation of MS at 0℃significantly enhances its properties,creating an ultrafine supplementary cementitious material with considerable CO_(2)sequestration capacity. | Junhao Ye Songhui Liu Jingrui Fang Xuemao Guan Hui Guo | 2023 | Journal of Building Material Science2023，5，2： | 0 |
| 5 | Deep Learning for Secure Transmission in Reconfigurable Intelligent Surface-Assisted Communications显示文摘This paper investigates the secure transmission for reconfigurable intelligent surface(RIS)-assisted wireless communication systems.In the studied model,one user connects to the access point via a RIS while an eavesdropper eavesdrops on the signal sent from the user to the access point.Therefore,it is necessary to design an appropriate RIS reflection vector to solve the eavesdropping problem.This problem is formulated as an optimization problem whose goal is to maximize the secure energy efficiency which is defined as the ratio of the secure rate to the total energy consumption of the system via jointly optimizing the RIS reflection reflector as well as the number of RIS elements,which results in a non-convex optimization problem that is intractable to solve by traditional methods.To tackle this issue,a new algorithm by leveraging the advance of the established deep learning(DL)technique is proposed so as to find the optimal RIS reflection vector and determine the optimal number of RIS reflection elements.Simulation results show that the proposed method reaches 96%of the optimal secure energy efficiency of the genie-aided algorithm. | Junhao Fang Xiangyu Zou Chongwen Huang Zhaohui Yang Yongjun Xu Xiao Chen Jianfeng Shi Mohammad Shikh-Bahaei | 2023 | Journal of Communications and Information Networks2023，8，2： | 0 |
| 6 | Monte Carlo Simulation-Based Robust Workflow Scheduling for Spot Instances in Cloud Environments显示文摘When deploying workflows in cloud environments,the use of Spot Instances(SIs)is intriguing as they are much cheaper than on-demand ones.However,Sls are volatile and may be revoked at any time,which results in a more challenging scheduling problem involving execution interruption and hence hinders the successful handling of conventional cloud workflow scheduling techniques.Although some scheduling methods for Sls have been proposed,most of them are no more applicable to the latest Sls,as they have evolved by eliminating bidding and simplifying the pricing model.This study focuses on how to minimize the execution cost with a deadline constraint when deploying a workflow on volatile Sls in cloud environments.Based on Monte Carlo simulation and list scheduling,a stochastic scheduling method called MCLS is devised to optimize a utility function introduced for this problem.With the Monte Carlo simulation framework,MCLS employs sampled task execution time to build solutions via deadline distribution and list scheduling,and then returns the most robust solution from all the candidates with a specific evaluation mechanism and selection criteria.Experimental results show that the performance of MCLS is more competitive comparedwithtraditionalalgorithms. | Quanwang Wu Jianzhao Fang Jie Zeng Junhao Wen Fengji Luo | 2024 | Tsinghua Science and Technology2024，29，1： | 0 |
| 7 | Improvement on Gamma Energy Resolution of Plastic Scintillator by Adding PMMA Light Guider or Chamfer显示文摘Traditional plastic scintillator has respectively low gamma energy resolution.Space radiation detection need the plastic scintillator to keep a relatively better energy resolution for gamma.Thus we did experiments to study how to get it enhanced by adding light guider and chamfer.A 9000 Bq radioactive source 60 Co has been utilized to make the experiment and results came that when keeping other conditions same,the height of poly methyl methacrylate(PMMA)light guider changes from 12 mm to 40 mm and the energy resolutions varied from 72.3%to63.5% respectively.Furthermore,another contrast experiment was made to decide whether plastic scintillator with light guiders or integrated chamfer can get better energy resolution.In conclusion the plastic scintillator with integrated chamfer got 55.0%.Through the study of adding light guider or chamfer to plastic scintillator,the gamma energy resolution has been improved greatly from 72.3%to 55.0%. | Wang Yi Wei Zhiyong Fang Meihua Guo Yipan Yu Junhao | 2018 | Transactions of Nanjing University of Aeronautics and Astronautics2018，35，S1： | 0 |
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