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Adaptive sampling for corrugated plate digitization using a laser displacement sensor

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Science China(Technological Sciences) 2024年第5期67卷 1510-1523页

作者： WU ChengXing QI Qi CHEN BaiJin YANG JiXiang DING Han State key laboratory of Intelligent Manufacturing Equipment and technology School of Mechanical Science and EngineeringHuazhong University of Science and TechnologyWuhan430074China State key laboratory of Intelligent Manufacturing Equipment and technology School of Materials Science and EngineeringHuazhong University of Science and TechnologyWuhan430074China

The surface quality of a corrugated plate directly determines the heat transfer property of the thermal power mechanical *** detection methods are impractical for real-world production,being slow and *** contrast,the point laser displacement sensor,employing the optical triangle method,emerges as a promising device for assessing parts with variable curvature and highly reflective *** its benefits,high-density sampling by an innate frequency introduces challenges such as data redundancy and a poor signal-to-noise ratio,potentially affecting the efficiency and precision of subsequent data *** address these challenges,adjustable frequency data sampling has been developed for this sensor,allowing adaptive sampling for corrugated plate *** process begins with surface digitization to extract discrete points,which are transformed into intersection curves using the B-spline fitting ***,dominant points are identified,considering multigeometric constraints for curvature and arch ***,the sampling signal is adjusted based on the distribution information of dominant *** results indicate that the proposed method effectively minimizes redundant sampling without compromising the accurate capture of essential geometric features.

关键词： corrugated plate laser displacement sensor adaptive sampling dominant point curvature arch height

Study of Ontology-Based Swine Diagnosis technology

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Journal of Integrative Agriculture 2012年第5期11卷 831-838页

作者： CUI Yun-peng SU Xiao-lu LIU Shi-hong key laboratory of Agri-lnformation Service technology Ministry of Agriculture/Agriculture Information InstituteChinese Academy ofAgriculture SciencesBeijing 100081P.R.Ch ina

The computer swine disease diagnosis is an important tool for swine farming industry, but the traditional expert system cannot meet the requirement of practical application. To improve the situation, a swine disease ontology is constructed, which can model the knowledge of swine disease diagnosis into a concept system, and a mechanism that can save the ontology into relational database is established, further more a computer system is developed to implement ontology- based swine disease diagnosis, so make the diagnosis results extended and more precise.

关键词： swine disease diagnosis ontology inference knowledge base

Modeling dark signal of CMOS image sensors irradiated by reactor neutron using Monte Carlo method

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Science China(information Sciences) 2018年第6期61卷 209-218页

作者： Yuanyuan XUE Zujun WANG Wei CHEN Baoping HE Zhibin YAO Minbo LIU Jiangkun SHENG Wuying MA Guantao DONG Junshan JIN State key laboratory of Intense Pulsed Irradiation Simulation and Effect Northwest Institute of Nuclear Technology

The dark signal degradation of the CMOS image sensor(CIS) was induced by neutron radiation,and it was modeled by Geant4, which is a three-dimensional Monte Carlo code. The simplified model of the CIS array was established according to the actual pixel geometry, material, and doping concentration. Nuclear elastic interaction and capture interaction were included in the physical processes, and the displacement damage dose in the space charge region of the pixel was calculated. The mean dark signal and dark signal distribution were modeled using Geant4, and the physical mechanisms were analyzed. The modeling results were in good agreement with the experimental and theoretical results.

关键词： modeling CIS neutron radiation dark signal Geant4

Intrinsic variations of ultrathin hafnium oxide-based ferroelectric tunnel junctions induced by ferroelectric-dielectric phase fluctuations

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Science China(information Sciences) 2023年第10期66卷 329-330页

作者： Pengying CHANG Mengqi FAN Gang DU Xiaoyan LIU Yiyang XIE key laboratory of Optoelectronics technology Beijing University of Technology School of Integrated Circuits Peking University

Hafnium oxide（HfO2）-based ferroelectrics（FEs） are promising materials for low-power applications such as the Internet of Things and artificial neural network, due to their fully complementary-metal-oxide-semiconductor compatibility and advanced thickness scalability [1]. The ferroelectric tunnel junction（FTJ） developed by the integration of FE HfO2on Si/SiO2provides a feasible route to realize high-density and energy-efficient nonvolatile memory [2].

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VTAN: A Novel Video Transformer Attention-Based Network for Dynamic Sign Language Recognition

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Computers, Materials & Continua 2025年第2期82卷 2793-2812页

作者： Ziyang Deng Weidong Min Qing Han Mengxue Liu Longfei Li School of Mathematics and Computer Science Nanchang UniversityNanchang330031China Institute of Metaverse Nanchang UniversityNanchang330031China Jiangxi Provincial key laboratory of Virtual Reality Nanchang UniversityNanchang330031China

Dynamic sign language recognition holds significant importance, particularly with the application of deep learning to address its complexity. However, existing methods face several challenges. Firstly, recognizing dynamic sign language requires identifying keyframes that best represent the signs, and missing these keyframes reduces accuracy. Secondly, some methods do not focus enough on hand regions, which are small within the overall frame, leading to information loss. To address these challenges, we propose a novel Video Transformer Attention-based Network (VTAN) for dynamic sign language recognition. Our approach prioritizes informative frames and hand regions effectively. To tackle the first issue, we designed a keyframe extraction module enhanced by a convolutional autoencoder, which focuses on selecting information-rich frames and eliminating redundant ones from the video sequences. For the second issue, we developed a soft attention-based transformer module that emphasizes extracting features from hand regions, ensuring that the network pays more attention to hand information within sequences. This dual-focus approach improves effective dynamic sign language recognition by addressing the key challenges of identifying critical frames and emphasizing hand regions. Experimental results on two public benchmark datasets demonstrate the effectiveness of our network, outperforming most of the typical methods in sign language recognition tasks.

关键词： Dynamic sign language recognition transformer soft attention attention-based visual feature aggregation

Optimal fusion estimation for stochastic systems with cross-correlated sensor noises

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Science China(information Sciences) 2017年第12期60卷 57-70页

作者： Liping YAN Yuanqing XIA Mengyin FU School of Automation Key Laboratory of Intelligent Control and Decision of Complex SystemsBeijing Institute of Technology

This paper is concerned with the optimal fusion of sensors with cross-correlated sensor *** taking linear transformations to the measurements and the related parameters, new measurement models are established, where the sensor noises are decoupled. The centralized fusion with raw data, the centralized fusion with transformed data, and a distributed fusion estimation algorithm are introduced, which are shown to be equivalent to each other in estimation precision, and therefore are globally optimal in the sense of linear minimum mean square error(LMMSE). It is shown that the centralized fusion with transformed data needs lower communication requirements compared to the centralized fusion using raw data directly, and the distributed fusion algorithm has the best flexibility and robustness and proper communication requirements and computation complexity among the three algorithms(less communication and computation complexity compared to the existed distributed Kalman filtering fusion algorithms). An example is shown to illustrate the effectiveness of the proposed algorithms.

关键词： optimal estimation distributed fusion Kalman filter cross-correlated noises linear transformation

Interval Type-2 Fuzzy Passive Filtering for Nonlinear Singularly Perturbed PDT-Switched Systems and Its Application

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Journal of Systems Science & Complexity 2021年第6期34卷 2195-2218页

作者： LIU Xinmiao XIA Jianwei WANG Jing SHEN Hao AnHui Province key laboratory of Special Heavy Load Robot and School of Electrical and information Engineering Anhui University of TechnologyMa'anshan 243032China School of Mathematical Sciences Liaocheng UniversityLiaocheng 252059China School of Electrical and information Engineering Anhui University of TechnologyMa'anshan 243002China

The problem of designing a passive filter for nonlinear switched singularly perturbed systems with parameter uncertainties is explored in this ***,the multiple-time-scale phenomenon is settled effectively by introducing a singular perturbation parameter in the ***,the interval type-2 fuzzy set theory is employed where parameter uncertainties are expressed in membership functions rather than the system *** is worth noting that interval type-2 fuzzy sets of the devised filter are different from the plant,which makes the design of the filter more ***,the persistent dwell-time switching rule,as a kind of time-dependent switching rules,is used to manage the switchings among nonlinear singularly perturbed subsystems,and this rule is more general than dwell-time and average dwell-time switching ***,sufficient conditions are provided for guaranteeing that the filtering error system is globally uniformly exponentially stable with a passive ***,on the basis of the linear matrix inequalities,the explicit expression of the designed filter can be ***,a tunnel diode electronic circuit is rendered as an example to confirm the correctness and the validity of the developed filter.

关键词： Interval type-2 fuzzy model passive filter persistent dwell-time switching rule singularly perturbed nonlinear systems

Controllable growth of GeSi nanostructures by molecular beam epitaxy

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Journal of Semiconductors 2018年第6期39卷 51-65页

作者： Yingjie Ma Tong Zhou Zhenyang Zhong Zuimin Jiang State key laboratory of Functional Materials for Informatics Shanghai Institute of Microsystem and Information TechnologyChinese Academy of Sciences State key laboratory of Surface Physics Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education) and Department of PhysicsFudan University School of Physics and Optoelectronic Engineering Shandong University of Technology

We present an overview on the recent progress achieved on the controllable growth of diverse GeSi al- loy nanostructures by molecular beam epitaxy. Prevailing theories for controlled growth of Ge nanostructures on patterned as well as inclined Si surfaces are outlined firstly, followed by reviews on the preferential growth of Ge nanoislands on patterned Si substrates, Ge nanowires and high density nanoislands grown on inclined Si surfaces, and the readily tunable Ge nanostructures on Si nanopillars. Ge nanostructures with controlled geometries, spatial distributions and densities, including two-dimensional ordered nanoislands, three-dimensional ordered quantum dot crystals, ordered nanorings, coupled quantum dot molecules, ordered nanowires and nanopillar alloys, are dis- cussed in detail. A single Ge quantum dot-photonic crystal microcavity coupled optical emission device demon- stration fabricated by using the preferentially grown Ge nanoisland technique is also introduced. Finally, we sum- marize the current technology status with a look at the future development trends and application challenges for controllable growth of Ge nanostructures.

关键词： Ge Si molecular beam epitaxy nanostructures controllable patterned substrates inclinedsurfaces preferential growth

Localization of pallets in warehouses using passive RFID system

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Journal of Central South University 2015年第8期22卷 3017-3025页

作者：周俊儒张宏建周洪亮 State key laboratory of Industrial Control technology Department of Control Science and EngineeringZhejiang University

Warehouse operation has become a critical activity in supply chain. Position information of pallets is important in warehouse management which can enhance the efficiency of pallets picking and sortation. Radio frequency identification(RFID) has been widely used in warehouse for item identifying. Meanwhile, RFID technology also has great potential for pallets localization which is underutilized in warehouse management. RFID-based checking-in and inventory systems have been applied in warehouse management by many enterprises. Localization approach is studied, which is compatible with existing RFID checking-in and inventory systems. A novel RFID localization approach is proposed for pallets checking-in. Phase variation of nearby tags was utilized to estimate the position of added pallets. A novel inventory localization approach combing angle of arrival(AOA) measurement and received signal strength(RSS) is also proposed for pallets inventory. Experiments were carried out using standard UHF passive RFID system. Experimental results show an acceptable localization accuracy which can satisfy the requirement of warehouse management.

关键词： warehouse management radio frequency identification (RFID) localization tag phase