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Simulation analysis of combined UV/blue photodetector in CMOS process by technology computer-aided design

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Frontiers of Optoelectronics 2014年第1期7卷 69-73页

作者： Changping CHEN Xiangliang jin Lizhen tang Hongjiao YANG Jun luo Faculty of Materials Optoelectronics and Physics Xiangtan University Xiangtan 411105 China Department of Precision Mechanical Engineering Shanghai University Shanghai 200444 China

A composite ultraviolet （UV）/blue photode- tector structure has been proposed, which is composed of P-type silicon substrate, Pwelb Nwell and N-channel metal- oxide-semiconductor field-effect transistor （NMOSFET） realized in the PweH. In this photodetector, lateral ring- shaped Pwell-Nwell junction was used to separate the photogenerated carriers, and non-equilibrium excess hole was injected to the Pwell bulk for changing the bulk potential and shifting the NMOSFET＇s threshold voltage as well as the output drain current. By technology computer-aided design （TCAD） device, simulation and analysis of this proposed photodetector were carried out. Simulation results show that the combined photodetector has enhanced responsivity to UV/blue spectrum. More- over, it exhibits very high sensitivity to weak and especially ultral-weak optical light. A sensitivity of 7000 A/W was obtained when an incident optical power of 0.01 μW was illuminated to the photodetector, which is 35000 times higher than the responsivity of a conventional silicon-based UV photodiode （usually is about 0.2 A/W）. As a result, this proposed combined photodetector has great potential values for UV applications.

关键词： ultraviolet (UV)golue photodetector weaklight detection complimentary metal-oxide-semiconductor(CMOS) technology computer-aided design (TCAD)

Access Control Method for EV Charging Stations Based on State Aggregation and Q-Learning

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Journal of Systems Science & Complexity 2022年第6期35卷 2145-2165页

作者： tang Ziyu luo Yonglong FANG Daohong ZHAO Chuanxin School of Computer and Information Anhui Normal UniversityWuhu 241002China Electrical Engineering and Automation Hefei University of TechnologyHefei 230009China

This paper presents intelligent access control for a charging station and a framework for dynamically and adaptively managing charging requests from randomly arriving electric vehicles(EVs),to increase the revenue of the ***,charging service requests from random EV arrivals are described as an event-driven sequential decision process,and the decision-making relies on an eventextended state that is composed of the real-time electricity price,real-time charging station state,and EV arrival ***,a state aggregation method is introduced to reduce the state space by first aggregating the charging station state in the form of the remaining charging time and then further aggregating it via sort ***,mathematical calculations of the code value are provided,and their uniqueness and continuous integer characteristics are ***,a corresponding Q-learning method is proposed to derive an optimal or suboptimal access control *** results of a case study demonstrate that the proposed learning optimisation method based on the event-extended state aggregation performs better than flat *** space complexity and time complexity are significantly reduced,which substantially improves the learning efficiency and optimisation performance.

关键词： Access control aggregation EV charging station event-extended state Q-learning

A physics-informed neural network for simulation of finite deformation in hyperelastic-magnetic coupling problems

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Applied Mathematics and Mechanics(English Edition) 2024年第10期45卷 1717-1732页

作者： WANG Lei luo Zikun LU Mengkai tang Minghai Department of Engineering Mechanics College of Mechanics and Engineering SciencesHohai UniversityNanjing 211100China School of Mechanical Engineering and Mechanics Ningbo UniversityNingbo 315211Zhejiang ProvinceChina

Recently,numerous studies have demonstrated that the physics-informed neural network(PINN)can effectively and accurately resolve hyperelastic finite deformation *** this paper,a PINN framework for tackling hyperelastic-magnetic coupling problems is *** the solution space consists of two-phase domains,two separate networks are constructed to independently predict the solution for each phase *** addition,a conscious point allocation strategy is incorporated to enhance the prediction precision of the PINN in regions characterized by sharp *** the developed framework,the magnetic fields and deformation fields of magnetorheological elastomers(MREs)are solved under the control of hyperelastic-magnetic coupling *** examples are provided and contrasted with the reference results to validate the predictive accuracy of the proposed ***,the advantages of the proposed framework in solving hyperelastic-magnetic coupling problems are validated,particularly in handling small data sets,as well as its ability in swiftly and precisely forecasting magnetostrictive motion.

关键词： physics-informed neural network(PINN) deep learning hyperelastic-magnetic coupling finite deformation small data set

Hf-doped ZnO transistor with high bias stability and high field-effect mobility by modulation of oxygen vacancies and interfaces

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Journal of Materials Science & Technology 2023年第32期163卷 59-68页

作者： Yushu tang Pengwei Tan Yuanyuan luo Zheng Zhang Liyang luo Guotao Duan School of Integrated Circuits Huazhong University of Science and TechnologyWuhan 430074China Key Laboratory of Materials Physics Institute of Solid State PhysicsHFIPSChinese Academy of SciencesHefei 230031China Wuhan National Laboratory for Optoelectronics School of Optical and Electronic InformationHuazhong University of Science and TechnologyWuhan 430074China

ZnO-based thin film transistors(TFTs)with high bias stability are challenging due to the intrinsic defects and overhigh interface trap *** this work,we fabricated Hf-doped ZnO films with different cycle ratio of Zn/Hf via atomic layer deposition and subsequent annealing *** results show that the cycle ratio of Zn/Hf is optimized to be 10:1,and the corresponding atomic ratio is 2.24%.The threshold voltage and subthreshold swing of the devices are improved as the annealing temperature increases,owning to the decrease of the oxygen vacancies and interface trap ***,we developed Hf-doped ZnO TFT with high bias stability by introducing HfO_(2)intermediate layer between the active layer and SiO_(2)dielectric layer,and the shift of threshold voltage is as low as-0.273 V,showing high bias ***,the device has the high field-effective mobility of 52.4 cm^(2)/Vs,low subthreshold swing of 0.68 V/dec and high Ion/Ioff of 3.6×10^(8).The results indicate a promising fabrication method for highperformance ZnO-based TFTs,which may be applied in logic circuits,radio frequency identification and so on.

关键词： Hf-doped ZnO films Thin film transistors Atomic layer deposition Oxygen vacancy Interface trap density

Cross Project Defect Prediction via Balanced Distribution Adaptation Based Transfer Learning

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Journal of Computer Science & Technology 2019年第5期34卷 1039-1062页

作者： Zhou Xu Shuai Pang Tao Zhang Xia-Pu luo jin Liu Yu-Tian tang Xiao Yu Lei Xue College of Computer Science and Technology Harbin Engineering UniversityHarbin 150001China School of Computer Science Wuhan UniversityWuhan 430072China Department of Computing The Hong Kong Polytechnic UniversityHong Kong 999077China Department of ComputingThe Hong Kong Polytechnic UniversityHong Kong 999077China Key Laboratory of Network Assessment Technology Institute of Information EngineeringChinese Academy of Sciences Beijing 100190China Guangxi Key Laboratory of Trusted Software Guilin University of Electronic TechnologyGuilin 541004China Department of Computer Science City University of Hong KongHong Kong 999077China

Defect prediction assists the rational allocation of testing resources by detecting the potentially defective software modules before releasing products. When a project has no historical labeled defect data, cross project defect prediction (CPDP) is an alternative technique for this scenario. CPDP utilizes labeled defect data of an external project to construct a classification model to predict the module labels of the current project. Transfer learning based CPDP methods are the current mainstream. In general, such methods aim to minimize the distribution differences between the data of the two projects. However, previous methods mainly focus on the marginal distribution difference but ignore the conditional distribution difference, which will lead to unsatisfactory performance. In this work, we use a novel balanced distribution adaptation (BDA) based transfer learning method to narrow this gap. BDA simultaneously considers the two kinds of distribution differences and adaptively assigns different weights to them. To evaluate the effectiveness of BDA for CPDP performance, we conduct experiments on 18 projects from four datasets using six indicators (i.e., F-measure, g-means, Balance, AUC, EARecall, and EAF-measure). Compared with 12 baseline methods, BDA achieves average improvements of 23.8%, 12.5%, 11.5%, 4.7%, 34.2%, and 33.7% in terms of the six indicators respectively over four datasets.

关键词： cross-project defect prediction transfer learning balancing distribution effort-aware indicator

Characterization of cake layer structure on the microfiltration membrane permeability by iron pre-coagulation

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Journal of Environmental Sciences 2013年第2期25卷 308-315页

作者： jin Wang Siru Pan Dongping luo Department of Municipal and Environmental Engineering School of Civil EngineeringBeijing Jiaotong University

A cake layer is formed by coagulation aggregates under certain transmembrane pressure in the coagulation-microfiltration （MF） process. The characteristics of humic acid aggregates coagulated by different iron-based coagulants, such as charge, size, fractal dimension and compressibility, have an effect on the cake layer structure. At the optimum iron dose of 0.6 to 0.8 mmol/L for ferric chloride （FC） and polymer ferric sulfate （PFS） pre-coagulation, at the point of charge neutralization for near zero zeta potential, the aggregate particles produced possess the greatest size and highest fractal dimension, which contributes to the cake layer being most loose with high porosity and low compressibility. Thus the membrane filterability is better. At a low or high iron dose of FC and PFS, a high negative or positive zeta potential with high charge repulsion results in so many small aggregate particles and low fractal dimension that the cake layer is compact with low porosity and high compressibility. Therefore the membrane fouling is accelerated and MF permeability becomes worse. The variation of cake layer structure as measured by scanning electric microscopy corresponds with the fact that the smaller the coagulation flocs size and fractal dimension are, the lower the porosity and the tighter the cake layer conformation. This also explains the MF membrane flux variation visually and accurately.

关键词： coagulation-microfiltration process cake layer structure iron-based coagulant zeta potential porosity scanning electric microscope

Space station short-term mission planning using ontology modelling and time iteration

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Journal of Systems Engineering and Electronics 2016年第2期27卷 407-421页

作者： Huijiao Bu jin Zhang Yazhong luo College of Aerospace Science and Engineering National University of Defense Technology

This paper studies the problem of the space station short-term mission planning, which aims to allocate the executing time of missions effectively, schedule the corresponding resources reasonably and arrange the time of the astronauts properly. A domain model is developed by using the ontology theory to describe the concepts, constraints and relations of the planning domain formally, abstractly and normatively. A method based on time iteration is adopted to solve the short-term planning problem. Meanwhile, the resolving strategies are proposed to resolve different kinds of conflicts induced by the constraints of power, heat, resource, astronaut and relationship. The proposed approach is evaluated in a test case with fifteen missions, thirteen resources and three astronauts. The results show that the developed domain ontology model is reasonable, and the time iteration method using the proposed resolving strategies can successfully obtain the plan satisfying all considered constraints.

关键词： space station mission planning ontology modelling time iteration

A Two-Stage Service Replica Strategy for Business Process Efficiency Optimization in Community Cloud

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Chinese Journal of Electronics 2017年第1期26卷 80-87页

作者： luo Haoyu LIU jin LIU Xiao State Key Laboratory of Software Engineering School of Computer Wuhan University School of Information Technology Deakin University

Business process that facilitates the organization cooperation and resource sharing plays an important role in Community cloud(Comc). The nature of applications and decentralized infrastructure in Comc make it a big challenge in ensuring the execution efficiency of business process, especially when the business requests are in high concurrency. We present a two-stage service replica strategy to improve the execution efficiency of business process by shortening the response time of request to single service and reducing interaction time among distributed services. We initially utilize the social network property of services to pre-allocate the replicas of key services. After that, queueing model is adopted to determine the required additional replicas according to the quantity and frequency of user requests, then schedule service replicas and requests dynamically. Experiments demonstrate the effectiveness of the proposed strategy.

关键词： Community cloud(Comc) Business process Execution efficiency Service replica Queueing theory

Planning for space station long-duration orbital mission under multi-constraints

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Science China(Technological Sciences) 2013年第5期56卷 1075-1085页

作者： LIN KunPeng luo YaZhong ZHANG jin tang Guojin College of Aerospace Science and Engineering National University of Defense Technology

An integrated nonlinear planning(NLP) model is built for space station long-duration orbital missions considering both the vehicle visiting schedules and the interaction effects between target phasing,vehicle return adjusting and Earth observation aiming.A two-level optimization approach is proposed to solve this complicated *** up-level problem employs the launch times of visiting vehicles as design variables,considers the constraints of crew rotations,resource resupplies and rendezvous launch windows,and is solved by a genetic *** low-level problems employ the maneuver impulses and burn times within each orbital mission as design variables,and a high-efficient shooting iteration method is proposed based on an analytical equation for the phase angle correction considering the J 2 *** results indicate that the integrated NLP model for space station long-duration orbital missions is effective,and the proposed optimization approach can obtain the optimal solutions that satisfy the multiple constraints and reduce the total propellant consumption.

关键词： space station orbital mission target phasing vehicle return Earth observation J2 perturbation

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