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MOS-based model of four-transistor CMOS image sensor pixels for photoelectric simulation

Chinese Physics B 2022年第5期31卷 725-732页

作者： Bing Zhang Congzhen Hu Youze Xin Yaoxin Li Zhuoqi Guo Zhongming Xue Li Dong Shanzhe Yu Xiaofei Wang Shuyu Lei Li Geng School of Microelectronics Xi’an Jiaotong UniversityXi’an 710049China Key Laboratory of Micro-nano Electronics and System Integration of Xi’an City Xi’an 710049China National Key Laboratory of Science and Technology on Micro/Nano Fabrication Peking UniversityBeijing 100871China ABAX Sensing Inc. Ningbo 315500China

By using the MOS-based model established in this paper, the physical process of photoelectron generation, transfer,and storage in the four-transistor active pixel sensor(4 T-APS) pixels can be simulated in SPICE environment. The variable capacitance characteristics of double junctions in pinned photodiodes(PPDs) and the threshold voltage difference formed by channel nonuniform doping in transfer gates(TGs) are considered with this model. The charge transfer process of photogenerated electrons from PPDs to the floating diffusion(FD) is analyzed, and the function of nonuniform doping of TGs in suppressing charge injection back to PPDs is represented with the model. The optical and electrical characteristics of all devices in the pixel are effectively combined with the model. Moreover, the charge transfer efficiency and the voltage variation in PPD can be described with the model. Compared with the hybrid simulation in TCAD and the Verilog-A simulation in SPICE, this model has higher simulation efficiency and accuracy, respectively. The effectiveness of the MOS-based model is experimentally verified in a 3 μm test pixel designed in 0.11 μm CIS process.

关键词： four-transistor active pixel sensor(4T-APS) nonuniform doping SPICE model transfer gate variable capacitance

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Structured Sparse Coding With the Group Log-regularizer for key Frame Extraction

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IEEE/CAA Journal of Automatica Sinica 2022年第10期9卷 1818-1830页

作者： Zhenni Li Yujie Li Benying Tan Shuxue Ding Shengli Xie the School of Automation Guangdong University of TechnologyGuangzhou 510006 the Guangdong-Hong Kong-Macao Joint Laboratory for Smart Discrete Manufacturing Guangdong University of Technology(GDUT)Guangzhou 510006China the School of Artificial Intelligence Guilin University of Electronic TechnologyGuilin 541004China the National Institute of Advanced Industrial Science and Technology TsukubaIbaraki 305-8560Japan IEEE the Key Laboratory of Intelligent Information Processing and System Integration of Io T(GDUT) Ministry of Education Guangdong Key Laboratory of IoT Information Technology(GDUT) Guangzhou 510006China

key frame extraction based on sparse coding can reduce the redundancy of continuous frames and concisely express the entire ***,how to develop a key frame extraction algorithm that can automatically extract a few frames with a low reconstruction error remains a *** this paper,we propose a novel model of structured sparse-codingbased key frame extraction,wherein a nonconvex group log-regularizer is used with strong sparsity and a low reconstruction *** automatically extract key frames,a decomposition scheme is designed to separate the sparse coefficient matrix by *** rows enforced by the nonconvex group log-regularizer become zero or nonzero,leading to the learning of the structured sparse coefficient *** solve the nonconvex problems due to the log-regularizer,the difference of convex algorithm(DCA)is employed to decompose the log-regularizer into the difference of two convex functions related to the l1 norm,which can be directly obtained through the proximal ***,an efficient structured sparse coding algorithm with the group log-regularizer for key frame extraction is developed,which can automatically extract a few frames directly from the video to represent the entire video with a low reconstruction *** results demonstrate that the proposed algorithm can extract more accurate key frames from most Sum Me videos compared to the stateof-the-art ***,the proposed algorithm can obtain a higher compression with a nearly 18% increase compared to sparse modeling representation selection(SMRS)and an 8% increase compared to SC-det on the VSUMM dataset.

关键词： Difference of convex algorithm(DCA) group logregularizer key frame extraction structured sparse coding

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BAT: Mining Binary-API Topic for Multi-service Application Development 26

BAT: Mining Binary-API Topic for Multi-service Application D...

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26th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2023

作者： He, Pengfei Liu, Linlin You, Dianlong Shen, Limin Chen, Zhen Yanshan University School of Information Science and Engineering Qinhuangdao China Chinese Academy of Sciences National Science Libraries Beijing China The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Qinhuangdao China

ISBN: (纸本)9798350331684

With the growing popularity of API-driven multiservice application (mashup) development, the burgeoning web APIs have left developers drowning in the sea of web API selections. Matching developers with the most appropriate APIs is the key to improving user satisfaction and promoting more popular web applications. As a result, more and more researchers pay attention to web API recommender systems based on collaborative filtering. However, employing collaborative filtering to recommend APIs is challenging due to the severe sparsity of mashup and API interactions. To address this problem, we propose a probabilistic generative model, called the Binary-API Topic model (BAT), to parameterize mashups and APIs. Technically, BAT is equipped with a mechanism to extract binary-APIs and predict unknown pairwise interactions. To improve generality and capture more relevance from a limited number of interactions, we learn binary-API topics by directly modeling the generation of API co-occurrence patterns across the repository (all mashup collections from ***). The main advantage of BAT is that it preserves API co-occurrence patterns in model learning and exploits the rich global relevance. Finally, through extensive experiments, we demonstrate that BAT can achieve the highest performance on the sparse real-world data set. © 2023 IEEE.

关键词： Collaborative filtering

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Recent progress of radionuclides separation by porous materials

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science China Chemistry 2024年第11期67卷 3515-3577页

作者： Yinghui Xie Long Yu Long Chen Cheng Chen Li Wang Fenglei Liu Yun Liao Peng Zhang Tao Chen Yihui Yuan Yuexiang Lu Boyang Huang Hui Yang Suhua Wang Shuao Wang Lijian Ma Feng Luo Yunhai Liu Baowei Hu Hongqing Wang Duoqiang Pan Wenkun Zhu Ning Wang Zhe Wang Liang Mao Shengqian Ma Xiangke Wang Guangdong Provincial Key Laboratory for Green Agricultural Production and Intelligent Equipment School of Environmental Science and EngineeringGuangdong University of Petrochemical TechnologyMaoming 525000China School of Life Science Shaoxing UniversityShaoxing 312000China College of Environmental Science and Engineering North China Electric Power UniversityBeijing 102206China State Key Laboratory of Radiation Medicine and Protection School for Radiological and Interdisciplinary Sciences(RAD-X)and Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education InstitutionsSoochow UniversitySuzhou 215123China College of Chemistry Sichuan UniversityChengdu 610064China School of Chemistry and Materials Science East China University of TechnologyNanchang 330013China School of Chemistry and Chemical Engineering University of South ChinaHengyang 421001China Frontiers Science Center for Rare Isotopes Lanzhou UniversityLanzhou 730000China State Key Laboratory of Environment-friendly Energy Materials National Co-innovation Center for Nuclear Waste Disposal and Environmental SafetySichuan Civil-military Integration InstituteSchool of National Defence&Nuclear Science and TechnologySouthwest University of Science and TechnologyMianyang 621010China State Key Laboratory of Marine Resource Utilization in South China Sea Collaborative Innovation Center of Marine Science and TechnologyHainan UniversityHaikou 570228China Institute of Nuclear and New Energy Technology Tsinghua UniversityBeijing 100084China State Key Laboratory of Pollution Control and Resource Reuse School of the EnvironmentNanjing UniversityNanjing 210093China Department of Chemistry University of North TexasDentonTX 76201USA

The separation of radionuclides is critical for the sustainable development of nuclear energy. It is urgent to design and prepare functionalized materials for efficient radionuclides separation. Porous materials are considered excellent candidates for the separation of radionuclides under complex conditions due to their high specific surface areas, tunable pore structures and controllable functionalities. In this review, we summarized the design, preparation and functionalization of porous materials and their application for separation of radionuclides in the past five years, discussed the separation performance and analyzed the structure-activity relationship between various radionuclides and porous materials, and systematically clarified their characterization and mechanism of different type porous materials. We also introduced the detection, irradiation and chemical toxicity of different reflective radionuclides.

关键词： porous materials radionuclides detection separation radiotoxicity interaction mechanism

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Miniaturized silicon-based capacitive six-axis force/torque sensor with large range, high sensitivity, and low crosstalk

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Microsystems & Nanoengineering 2024年第6期10卷 133-149页

作者： Renjie Tan Yong Xia Xiangguang Han Linya Huang Wendi Gao Chen Jia Ping Yang Qijing Lin Shujiang Ding Chenying Wang Libo Zhao State Key Laboratory for Manufacturing Systems Engineering International Joint Laboratory for Micro/Nano Manufacturing and Measurement TechnologiesXi’an Jiaotong University(Yantai)Research Institute for Intelligent Sensing Technology and SystemXi’an Jiaotong University710049 Xi’anChina School of Mechanical Engineering Xi’an Jiaotong UniversityXi’an 710049China School of Instrument Science and Technology Xi’an Jiaotong UniversityXi’an 710049China Electronic Materials Research Laboratory Key Laboratory of the Ministry of EducationSchool of Electronic Science and EngineeringXi’an Jiaotong University710049 Xi’anChina Shandong Laboratory of Yantai Advanced Materials and Green Manufacturing Yantai 265503China Engineering Research Center of Energy Storage Materials and Devices of Ministry of Education National Innovation Platform(Center)for Industry-Education Integration of Energy Storage TechnologySchool of ChemistryXi’an Jiaotong UniversityXi’an 710049China

Miniaturized six-axis force/torque sensors have potential applications in robotic tactile sensing,minimally invasive surgery,and other narrow operating spaces,where currently available commercial sensors cannot meet the requirements because of their large *** this study,a silicon-based capacitive six-axis force/torque sensing chip with a small size of 9.3×9.3×0.98 mm was designed,fabricated,and tested.A sandwich decoupling structure with a symmetrical layered arrangement of S-shaped beams,comb capacitors,and parallel capacitors was employed.A decoupling theory considering eccentricity and nonlinear effects was derived to realize low axial *** proposed S-shaped beams achieved a large measurement range through stress *** results of a coupled multiphysics field finite-element simulation agreed well with those of theoretical *** test results show that the proposed sensing chip can detect six-axis force/torque separately,with all crosstalk errors less than 2.59%*** force and torque measurement ranges can reach as much as 2.5 N and 12.5 N·mm,*** sensing chip also has high sensitivities of 0.52 pF/N and 0.27 pF/(N·mm)for force and torque detection,respectively.

关键词： crosstalk shaped torque

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Association Rule Guided Web API Complementary Function Recommendation for Mashup Creation: An Explainable Perspective 17th

Association Rule Guided Web API Complementary Function Recom...

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17th CCF Conference on Computer Supported Cooperative Work and Social Computing, ChineseCSCW 2022

作者： He, Pengfei Qi, Wenchao Liu, Xiaowei Liu, Linlin You, Dianlong Shen, Limin Chen, Zhen School of Information Science and Engineering Yanshan University Qinhuangdao China National Science Libraries Chinese Academy of Sciences Beijing China Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Yanshan University Qinhuangdao China

ISBN: (纸本)9789819923557

As more and more service providers encapsulate and publish their data and services on the internet in the form of Web APIs, the number of Web APIs is ever-increasing. For this reason, Web API recommendation is gaining momentum and has achieved high performance in accuracy. However, few studies paid attention to function recommendation. As an indispensable entity in the mashup-API ecosystem, function is not only the in-facto basis of API taxonomy, but also determines the compatibility and the internal construction pattern of mashup composition. Considering that users adopt multiple function invocations during a development cycle and the number of functions is also increasing, we propose the complementary function recommendation(CFR), a function-to-function problem. To solve the CFR, we regard each mashup as a transaction set for frequent pattern mining and propose an association rule-based complementary function recommendation(ARCFR) system, which provides function recommendation and corresponding probability explanation. Our experiments show that ARCFR can recommend complementary function effectively, and we give two applicable scenarios to demonstrate the practical value of our method in more aspects. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Association rules

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Imperceptible and Sparse Adversarial Attacks via a Dual-Population-Based Constrained Evolutionary Algorithm

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2023年第2期4卷 268-281页

作者： Tian, Ye Pan, Jingwen Yang, Shangshang Zhang, Xingyi He, Shuping Jin, Yaochu Anhui University Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Institutes of Physical Science and Information Technology Hefei230601 China Hefei Comprehensive National Science Center Institute of Artificial Intelligence Hefei230088 China Anhui University School of Computer Science and Technology Hefei230601 China Anhui University Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Artificial Intelligence Hefei230601 China Anhui University Anhui Engineering Laboratory of Human-Robot Integration System and Intelligent Equipment School of Electrical Engineering and Automation Hefei230601 China Bielefeld University Faculty of Technology Bielefeld33619 Germany

The sparse adversarial attack has attracted increasing attention due to the merit of a low attack cost via changing a small number of pixels. However, the generated adversarial examples are easily detected in vision since the perturbation to each pixel is relatively large. To achieve imperceptible and sparse adversarial attacks, this article formulates a bi-objective constrained optimization problem, simultaneously minimizing the 0 and 2 distances to the original image, and proposes a dual-population-based constrained evolutionary algorithm to solve it. The proposed method solves the optimization problem by evolving two populations, where one population is responsible for finding feasible solutions (i.e., successful attacks) and the other one is to minimize both the 0 and 2 distances. Moreover, a population initialization strategy and two genetic operators are customized to accelerate the convergence speed. Experimental results indicate that the proposed method can achieve high success rates with low attack costs, and strikes a better balance between the 0 and 2 distances than state-of-the-art methods. © 2020 IEEE.

关键词： Evolutionary algorithms

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S2KAN-SLAM: Elastic Neural LiDAR SLAM with SDF Submaps and Kolmogorov-Arnold Networks

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IEEE Transactions on Circuits and systems for Video technology 2025年

作者： Wang, Zhong Zhang, Lin Wang, Hesheng Shanghai Jiao Tong University State Key Laboratory of Avionics Integration and Aviation System-of-Systems Synthesis Department of Automation Key Laboratory of System Control and Information Processing of Ministry of Education Shanghai200240 China Tongji University School of Computer Science and Technology National Pilot Software Engineering School with Chinese Characteristics Shanghai201804 China

Traditional LiDAR SLAM approaches prioritize localization over mapping, yet high-precision dense maps are essential for numerous applications involving intelligent agents. Recent advancements have introduced methods leveraging neural fields to enhance mapping capabilities;however, these approaches still face several limitations. Firstly, concerning scene representation, they typically employ neural fields with high-dimensional features and multi-layer perceptron decoders utilizing non-continuous activation functions. This results in low learning efficiency and challenges in capturing high-frequency signals. Secondly, in terms of scene organization, these methods often treat the entire scene as a singular neural field, leading to inefficiencies, inflexibility, and difficulties in rectifying accumulated errors when mapping large-scale environments over extended periods. To tackle the first issue, we propose a lightweight continuous SDF regression approach by encoding the scene in single-valued embeddings and decoding SDF values from a Kolmogorov-Arnold Network. By minimizing discrepancies in measuring range, sampling distance, and decoded SDF values, we facilitate iterative frame-to-model tracking and bundle adjustment neural mapping. To mitigate the second challenge, we propose structuring the whole scene into multiple neural SDF submaps. By establishing node-node, node-submap, and loop closure constraints into a global pose graph, the system can create dense neural maps with global consistency across large-scale scenes. Experimental evaluations in both real-world and simulated settings indicate that our system achieves superior mapping completeness and accuracy, enhanced learning efficiency, reduced memory consumption, and greater flexibility compared to its counterparts. © 2025 IEEE.

关键词： Mapping

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Dynamic Analysis of Service-oriented Advanced avionics system based on Stochastic Evolutionary Game

Dynamic Analysis of Service-oriented Advanced Avionics Syste...

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Chinese Automation Congress (CAC)

作者： Zhaohui Liu Qingchun Liu Bingfei Li Shuo Zhang National Key Laboratory of Science and Technology on Avionics System Integration China National Aeronautical Radio Electronic Research Institute Shanghai China

Service-oriented advanced avionics system(SOAAS) is a complex network system with different stakeholders. Stake-holders are irrational behavior and may take aberrant behaviors in advanced avionics system. Different behavior will lead the avionics system to different states. In order to accurately predict the development trend of SOAAS and grasp its dynamic characteristics, stochastic evolutionary game theory is applied to study and analyze SOAAS in this paper. A multi-party game model is constructed to describe the behaviours of participant, and Ito stochastic differential equation is established based on stochastic theory to break through the limitation of replicator dynamics equation. The stability problem of SOAAS is effectively analyzed, and sufficient conditions of system stability are given. Simulation results show the correct and practicable of the established game model and analysis method.

关键词： Simulation Indium tin oxide Stochastic processes Games Aerospace electronics Mathematical models Stability analysis

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Stability Analysis of Service-oriented Advanced avionics system based on Evolutionary Game

Stability Analysis of Service-oriented Advanced Avionics Sys...

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2021 China Automation Congress, CAC 2021

作者： Liu, Zhaohui Wang, Zhongjie Liu, Qingchun Li, Bingfei National Key Laboratory of Science and Technology Avionics System Integration China National Aeronautical Radio Electronic Research Institute Shanghai China College of Electronics and Information Engineering Tongji University Shanghai China

ISBN: (纸本)9781665426473

Service-oriented advanced avionics system could implement system integration and information sharing by servicizing resources with multi-participant. In this system, each participant is bounded rational and may take aberrant behaviors. Different participant behaviors will cause the system to evolve towards different directions. In this paper, the evolution of service-oriented advanced avionics system is studied from the perspective of service management. A tripartite asymmetric game model is established to describe the participant behaviors. The replicated dynamic equation is applied to analyze the system stability. The sufficient condition of system stability is given. The research work contributes to predicting and controlling the evolution of this system accurately. The simulation results indicate that the game model and analysis method are correct and practical. © 2021 IEEE

关键词： system stability

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