|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Wireless Acoustic Sensor Networks and Edge Computing for Rapid Acoustic Monitoring显示文摘Passive acoustic monitoring is emerging as a promising solution to the urgent, global need for new biodiversity assessment methods. The ecological relevance of the soundscape is increasingly recognised, and the affordability of robust hardware for remote audio recording is stimulating international interest in the potential for acoustic methods for biodiversity monitoring.The scale of the data involved requires automated methods,however, the development of acoustic sensor networks capable of sampling the soundscape across time and space and relaying the data to an accessible storage location remains a significant technical challenge, with power management at its core. Recording and transmitting large quantities of audio data is power intensive,hampering long-term deployment in remote, off-grid locations of key ecological interest. Rather than transmitting heavy audio data, in this paper, we propose a low-cost and energy efficient wireless acoustic sensor network integrated with edge computing structure for remote acoustic monitoring and in situ analysis.Recording and computation of acoustic indices are carried out directly on edge devices built from low noise primo condenser microphones and Teensy microcontrollers, using internal FFT hardware support. Resultant indices are transmitted over a ZigBee-based wireless mesh network to a destination server.Benchmark tests of audio quality, indices computation and power consumption demonstrate acoustic equivalence and significant power savings over current solutions. | Zhengguo Sheng Saskia Pfersich Alice Eldridge Jianshan Zhou Daxin Tian Victor C.M.Leung | 2019 | IEEE/CAA Journal of Automatica Sinica2019，6，1： | 6 |
| 2 | A cohort study of adolescents with depression in China:tracking multidimensional outcomes and early biomarkers for intervention显示文摘Background Depression in adolescents is recognised as a global public health concern,but little is known about the trajectory of its clinical symptoms and pathogenesis.Understanding the nature of adolescents with depression and identifying earlybiomarkers can facilitatepersonalised intervention andreducediseaseburden.Aims To track multidimensional outcomes of adolescents with depression and develop objective biomarkers for diagnosis,as well as response to treatment,prognosis and guidance for early identification and intervention.Methods This is a multidimensional cohort study on the Symptomatic trajectory and Biomarkers of Early Adolescent Depression(sBEAD).We planned to recruit more than 1000 adolescents with depression and 300 healthy controls within 5 years.Multidimensional clinical presentations and objective indicators are collected at baseline,weeks 4,8,12 and 24,and years 1,2,3,4 and 5.Conclusions To the best of our knowledge,this is the first longitudinal cohort study that examines multidimensional clinical manifestations and multilevel objective markers in Chinese adolescents with depression.This study aims at providing early individualised interventions for young,depressed patients to reduce the burden of disease. | Xiaofei Zhang Yanling Zhou Jiaqi Sun Ruilan Yang Jianshan Chen Xiaofang Cheng Zezhi Li Xinlei Chen Chanjuan Yang Xinhong Zhu Liping Cao | 2022 | General Psychiatry2022，35，4： | 2 |
| 3 | Helical Fiber Pull-out in Biological Materials显示文摘Many biological materials, such as wood and bone, possess helicoid microstructures at microscale, which can serve as reinforcing elements to transfer stress between crack surfaces and improve the fracture toughness of their composites. Failure processes, such as fiber/matrix interface debonding and sliding associated with pull-out of helical fibers, are responsible mainly for the high energy dissipation needed for the fracture toughness enhancement. Here we present systemic analyses of the pull-out behavior of a helical fiber from an elastic matrix via the finite element method(FEM) simulation, with implications regarding the underlying toughening mechanism of helicoid microstructures. We find that, through their uniform curvature and torsion, helical fibers can provide high pull-out force and large interface areas, resulting in high energy dissipation that accounts, to a large extent, for the high toughness of biological materials. The helicity of fiber shape in terms of the helical angle has significant effects on the force-displacement relationships as well as the corresponding energy dissipation during fiber pull-out. | Lixin Wang Yuhong Cui Qinghua Qin Hui Wang Jianshan Wang | 2016 | Acta Mechanica Solida Sinica2016，29，3： | 2 |
| 4 | Selective voltammetric detection of uric acid in the presence of ascorbic acid at well-aligned carbon nanotube electrode 显示文摘 | YE Jianshan WEN Ying ZHANG Weide | 2003 | Electroanalysis2003，15，21： | 1 |
| 5 | Impact of Non-ideal Waveforms on GaN Power FET in Magnetic Resonant Wireless Power Transfer System显示文摘GaN field-effect transistors(FET)have low conduction and switching losses in high-frequency(>MHz)resonant wireless power transfer systems.Nevertheless,such systems impose a unique stress on GaN FETs owing to their non-ideal voltage waveforms.In this work,we report the observed non-ideal behavior in a 6.78 MHz magnetic resonant wireless transfer system that employs class-D GaN power amplifiers.The non-ideal waveform phenomenon existing at the output of the power amplifier is explained.The study analyzes the causes of this phenomenon,including the coupling coefficient k of the coil,the DC input voltage of the amplifier,and the load on the receiver.Each parameter is simulated and analyzed using LTspice.The influence of the phenomenon on the on-state resistance of the GaN device is proved in an experimental measurement,and the cause of the phenomenon is explained.The study combines a theoretical simulation and an experimental test to discuss the effect of this phenomenon on GaN power devices and proposes the corresponding solutions,which include the limitation of voltage,current,and power of the system,thermal management,and other protection measures. | Shizhen Huang Jianshan Zhang Wengang Wu Ling Xia | 2019 | Chinese Journal of Electrical Engineering2019，5，3： | 1 |
| 6 | Simultaneous determination of dopamine, ascorbic acid and uric acid on ordered mesoporous carbon/Nafion composite film显示文摘 | Dan Zheng Jianshan Ye Liang Zhou Yang Zhang Chengzhong Yu | 2008 | Journal of Electroanalytical Chemistry2008，，1： | 1 |
| 7 | Numerical Study on Helical Fiber Fragmentation in Chiral Biological Materials显示文摘Chiral microstructures exist widely in natural biological materials such as wood, bone, and climbing tendrils. The helical shape of such microstructures plays an important role in stress transfer between fiber and matrix,and in the mechanical properties of biological materials. In this paper, helical fiber fragmentation behavior is studied numerically using the finite-element method(FEM), and then, the effects of helical shape on fiber deformation and fracture,and the corresponding mechanical mechanisms are investigated. The results demonstrate that, to a large degree, the initial microfibril angle(MFA) determines the elastic deformation and fracture behavior of fibers. For fibers with a large MFA, the interfacial area usually has large values, inducing a relatively low fragment density during fiber fragmentation. This work may be helpful in understanding the relationship between microstructure and mechanical property in biological materials, and in the design and fabrication of bio-inspired advanced functional materials. | Jianshan Wang Li Yuan Lixin Wang Yuhong Cui Qinghua Qin | 2018 | Transactions of Tianjin University2018，24，1： | 1 |
| 8 | Graphenemodified carbon fiber microelectrode for the detection of dopamine in mice hippocampus tissue显示文摘 | ZHU Mingfang ZENG Changqing YE Jianshan | 2011 | Electroanalysis2011，23，4： | 1 |
| 9 | Oxidative modification of neurogranin by nitric oxide:An amperometric study 显示文摘 | Miao Honghua Ye Jianshan Wong Susanna L Y | 2000 | Bioelectrochemistry2000，51，2： | 1 |
| 10 | Analy- sis of artificial corner reflector's radar cross section:a physical optics perspective显示文摘 | Xin Jianshan Jing Yuanyin Dan Linyu | 2012 | Arab journal geosci2012，12，4： | 1 |
| 11 | Mechanism of Wireless Power Transfer System Waveform Distortion Caused by Nonideal Gallium Nitride Transistor Characteristics显示文摘Gallium nitride(GaN)field-effect transistors have low ON resistance and switching losses in high-frequency(>MHz)resonant wireless power transfer systems.Nevertheless,their performance in the system is determined by their characteristics and operation mode.A particular operating mode in a 6.78-MHz magnetic resonant wireless transfer system that employs class-D GaN power amplifiers in the zero-voltage switching mode is studied.Two operation modes,the forward mode and the reverse mode,are investigated.The nonideal effect under the device-level dynamic resistance and thermal effect are also analyzed.The dynamic resistance under different operation modes is demonstrated to have different generation mechanisms.Finally,the device characteristics with system operating conditions are combined,and the effects of temperature and dynamic resistance under different operating conditions are evaluated. | Shaoyu Sun Jianshan Zhang Wengang Wu Ling Xia Yufeng Jin | 2021 | Chinese Journal of Electrical Engineering2021，7，2： | 1 |
| 12 | A DAMAGE MECHANICS MODEL FOR TWISTED CARBON NANOTUBE FIBERS显示文摘Carbon nanotube fibers can be fabricated by the chemical vapor deposition spinning process. They are promising for a wide range of applications such as the building blocks of high-performance composite materials and micro-electrochemical sensors. Mechanical twisting is an effective means of enhancing the mechanical properties of carbon nanotube fibers during fabrication or by post processing. However, the effects of twisting on the mechanical properties remain an unsolved issue. In this paper, we present a two-scale damage mechanics model to quantitatively investigate the effects of twisting on the mechanical properties of carbon nanotube fibers. The numerical results demonstrate that the developed damage mechanics model can effectively describe the elastic and the plastic-like behaviors of carbon nanotube fibers during the tension process. A definite range of twisting which can effectively enhance the mechanical properties of carbon nanotube fiber is given. The results can be used to guide the mechanical twisting of carbon nanotube fibers to improve their properties and help optimize the mechanical performance of carbon nanotube-based materials. | Qingqing Rong Jianshan Wang Yilan Kang Yali Li Qing-Hua Qin | 2012 | Acta Mechanica Solida Sinica2012，25，4： | 1 |
| 13 | Up-regulation of microRNA-1290 impairs cytokinesis and affects the reprogramming of colon cancer cells显示文摘 | Jia Wu Xiaowei Ji Linlin Zhu Qiaoli Jiang Zhenzhen Wen Song Xu Wei Shao Jianting Cai Qin Du Yongliang Zhu Jianshan Mao | 2012 | Cancer Letters2012，，： | 1 |
| 14 | V2I Based Environment Perception for Autonomous Vehicles at Intersections显示文摘In recent years,autonomous driving technology has made good progress,but the noncooperative intelligence of vehicle for autonomous driving still has many technical bottlenecks when facing urban road autonomous driving challenges.V2I(Vehicle-to-Infrastructure)communication is a potential solution to enable cooperative intelligence of vehicles and roads.In this paper,the RGB-PVRCNN,an environment perception framework,is proposed to improve the environmental awareness of autonomous vehicles at intersections by leveraging V2I communication technology.This framework integrates vision feature based on PVRCNN.The normal distributions transform(NDT)point cloud registration algorithm is deployed both on onboard and roadside to obtain the position of the autonomous vehicles and to build the local map objects detected by roadside multi-sensor system are sent back to autonomous vehicles to enhance the perception ability of autonomous vehicles for benefiting path planning and traffic efficiency at the intersection.The field-testing results show that our method can effectively extend the environmental perception ability and range of autonomous vehicles at the intersection and outperform the PointPillar algorithm and the VoxelRCNN algorithm in detection accuracy. | Xuting Duan Hang Jiang Daxin Tian Tianyuan Zou Jianshan Zhou Yue Cao | 2021 | China Communications2021，18，7： | 1 |
| 15 | 显示文摘 | Du Haiiun Ye Jianshan Zhang Jiaqi | 2011 | J Electroanal Chem2011，650，2： | 1 |
| 16 | Observation of aerosol optical properties and particulate pollution at background station in the Pearl River Delta region显示文摘 | CHEN Jianshan XIN Jinyuan AN Junlin | 2008 | Atmospheric Research2008，47，27： | 1 |
| 17 | Pre-training with asynchronous supervised learning for reinforcement learning based autonomous driving显示文摘Rule-based autonomous driving systems may suffer from increased complexity with large-scale intercoupled rules,so many researchers are exploring learning-based approaches.Reinforcement learning(RL)has been applied in designing autonomous driving systems because of its outstanding performance on a wide variety of sequential control problems.However,poor initial performance is a major challenge to the practical implementation of an RL-based autonomous driving system.RL training requires extensive training data before the model achieves reasonable performance,making an RL-based model inapplicable in a real-world setting,particularly when data are expensive.We propose an asynchronous supervised learning(ASL)method for the RL-based end-to-end autonomous driving model to address the problem of poor initial performance before training this RL-based model in real-world settings.Specifically,prior knowledge is introduced in the ASL pre-training stage by asynchronously executing multiple supervised learning processes in parallel,on multiple driving demonstration data sets.After pre-training,the model is deployed on a real vehicle to be further trained by RL to adapt to the real environment and continuously break the performance limit.The presented pre-training method is evaluated on the race car simulator,TORCS(The Open Racing Car Simulator),to verify that it can be sufficiently reliable in improving the initial performance and convergence speed of an end-to-end autonomous driving model in the RL training stage.In addition,a real-vehicle verification system is built to verify the feasibility of the proposed pre-training method in a real-vehicle deployment.Simulations results show that using some demonstrations during a supervised pre-training stage allows significant improvements in initial performance and convergence speed in the RL training stage. | Yunpeng WANG Kunxian ZHENG Daxin TIAN Xuting DUAN Jianshan ZHOU | 2021 | Frontiers of Information Technology & Electronic Engineering2021，22，5： | 1 |
| 18 | Preparation and characterization of aligned carbon nanotube - ruthenium oxide nanocomposites for supercapacitors 显示文摘 | Ye Jianshan Cui Huifang Liu Xiao | 2005 | Small2005，1，5： | 1 |
| 19 | Hydrogen production on TiO2 nanorod arrays cathode coupling with bio-anode with addi- tional electricity generation 显示文摘 | CHEN Qingyun LIU Jianshan LIU Ya | 2013 | Journal of Power Sources2013，238，： | 1 |
| 20 | Adaptive Handover Decision Inspired By Biological Mechanism in Vehicle Ad-hoc Networks显示文摘In vehicle ad-hoc networks(VANETs),the proliferation of wireless communication will give rise to the heterogeneous access environment where network selection becomes significant.Motivated by the self-adaptive paradigm of cellular attractors,this paper regards an individual communication as a cell,so that we can apply the revised attractor selection model to induce each connected vehicle.Aiming at improving the Quality of Service(QoS),we presented the bio-inspired handover decision-making mechanism.In addition,we employ the Technique for Order Preference by Similarity to an Ideal Solution(TOPSIS)for any vehicle to choose an access network.This paper proposes a novel framework where the bio-inspired mechanism is combined with TOPSIS.In a dynamic and random mobility environment,our method achieves the coordination of performance of heterogeneous networks by guaranteeing the efficient utilization and fair distribution of network resources in a global sense.The experimental results confirm that the proposed method performs better when compared with conventional schemes. | Xuting Duan Jingyi Wei Daxin Tian Jianshan Zhou Haiying Xia Xin Li Kunxian Zheng | 2019 | Computers, Materials & Continua2019，，9： | 1 |
您所在的机构暂未开通此部分的功能，请联系管理员