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Rice science 2024年第3期31卷 237-240,I0002-I0007页

作者： WANG Haoyu LI Su YANG Jibo HUANG Jing ZHU Xiaofang SHEN Renfang ZENG Dali College of Advanced Agricultural sciences Zhejiang A&F UniversityHangzhou 311300China State Key Laboratory of Soil and Sustainable Agriculture Institute of Soil ScienceChinese Academy of ScienceNanjing 210008China University of Chinese academy of sciences Beijing 100049China

Although putrescine(PUT)has been linked to plants'responses to cadmium(Cd)stress,the exact mechanism is still *** the current investigation,the endogenous PUT concentration in rice roots was enhanced by Cd *** PUT increased root cell wall hemicellulose levels,which in turn increased its Cd binding capacity,concurrently decreasing the transcription level of genes such as OsNRAMP1 and OsCd1 that are responsible for root Cd *** a result。

关键词： absorption roots cadmium

Mathematical Modeling and a Multiswarm Collaborative Optimization Algorithm for Fuzzy Integrated Process Planning and Scheduling Problem

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Tsinghua science and Technology 2024年第2期29卷 285-304页

作者： Qihao Liu Cuiyu Wang Xinyu Li Liang Gao State Key Laboratory of Intelligent Manufacturing equipment and Technology School of Mechanical Science and EngineeringHuazhong University of Science and TechnologyWuhan430074China

Considering both process planning and shop scheduling in manufacturing can fully utilize their complementarities,resulting in improved rationality of process routes and high-quality and efficient production. Hence,the study of Integrated Process Planning and Scheduling (IPPS) has become a hot topic in the current production field. However,when performing this integrated optimization,the uncertainty of processing time is a realistic key point that cannot be neglected. Thus,this paper investigates a Fuzzy IPPS (FIPPS) problem to minimize the maximum fuzzy completion time. Compared with the conventional IPPS problem,FIPPS considers the fuzzy process time in the uncertain production environment,which is more practical and realistic. However,it is difficult to solve the FIPPS problem due to the complicated fuzzy calculating rules. To solve this problem,this paper formulates a novel fuzzy mathematical model based on the process network graph and proposes a MultiSwarm Collaborative Optimization Algorithm (MSCOA) with an integrated encoding method to improve the optimization. Different swarms evolve in various directions and collaborate in a certain number of iterations. Moreover,the critical path searching method is introduced according to the triangular fuzzy number,allowing for the calculation of rules to enhance the local searching ability of MSCOA. The numerical experiments extended from the well-known Kim benchmark are conducted to test the performance of the proposed MSCOA. Compared with other competitive algorithms,the results obtained by MSCOA show significant advantages,thus proving its effectiveness in solving the FIPPS problem.

关键词： Integrated Process Planning and Scheduling(IPPS) fuzzy processing time fuzzy completion time MultiSwarm Collaborative Optimization Algorithm(MSCOA)

Adaptive Space Expansion for Fast Motion Planning

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IEEE/CAA Journal of Automatica Sinica 2024年第6期11卷 1499-1514页

作者： Shenglei Shi Jiankui Chen State Key Laboratory of Digital Manufacturing equipment and Technology School of Mechanical Science and EngineeringHuazhong University of Science and TechnologyWuhan 430074China

The sampling process is very inefficient for sam-pling-based motion planning algorithms that excess random sam-ples are generated in the planning *** this paper,we pro-pose an adaptive space expansion(ASE)approach which belongs to the informed sampling category to improve the sampling effi-ciency for quickly finding a feasible *** ASE method enlarges the search space gradually and restrains the sampling process in a sequence of small hyper-ellipsoid ring subsets to avoid exploring the unnecessary ***,for a con-structed small hyper-ellipsoid ring subset,if the algorithm cannot find a feasible path in it,then the subset is ***,the ASE method successively does space exploring and space expan-sion until the final path has been ***,we present a particular construction method of the hyper-ellipsoid ring that uniform random samples can be directly generated in *** last,we present a feasible motion planner BiASE and an asymptoti-cally optimal motion planner BiASE*using the bidirectional exploring method and the ASE *** demon-strate that the computation speed is much faster than that of the state-of-the-art *** source codes are available at https://***/shshlei/ompl.

关键词： Adaptive space expansion(ASE) hyper-ellipsoid ring informed sampling motion planning.

Machine learning-assisted sparse observation assimilation for real-time aerodynamic field perception

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science China(Technological sciences) 2024年第5期67卷 1458-1469页

作者： ZHAO QingYu HUANG Jun GUO YuXin PAN YuXuan JI JingJing HUANG YongAn State Key Laboratory of Intelligent Manufacturing equipment and Technology School of Mechanical Science and EngineeringHuazhong University of Science and TechnologyWuhan 430074China

Accurate aerodynamic distribution perception and real-time flight state evaluation are crucial for flight safety,e.g.,stall ***,the observations are usually sparse due to limitations in sensor mounting space and cost,and a reconstruction technology is urgently ***,a machine learning-assisted assimilation method based on sparse observations has been *** from the traditional reconstruction methods focusing on boundary condition correction,the proposed method formulates the flow field pressure distribution as a linear superposition of flow field modes,thereby forming a real-time reconstruction pattern that combines offline modal extraction using computational fluid dynamics(CFD)with real-time determination of modal weights using a neural *** this study,CFD simulations were conducted under 800different operating conditions for common modal extraction and model *** weights of these modes were determined online based on merely five observations for reconstructing the full pressure field.A pressure reconstruction with a relative error of 6.1%and a mean square error of 0.003 was achieved within the prescribed condition *** computational cost was just2 ms for each reconstruction run,significantly faster than the 20 min required by the classical reconstruction ensemble transform Kalman *** also showed that the method maintains almost the same accuracy amidst 1.5%measurement *** practical examples,shock waves and the change of lift coefficient were analyzed using the proposed method,providing remarkable evidence for the capability of the method in supporting stall *** validate the method’s effectiveness and explore its potential in real-time and accurate monitoring of an aircraft.

关键词： aerodynamic force sparse observation neural networks pressure field reconstruction

Application of the CatBoost Model for Stirred Reactor State Monitoring Based on Vibration Signals

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Computer Modeling in Engineering & sciences 2024年第7期140卷 647-663页

作者： Xukai Ren Huanwei Yu Xianfeng Chen Yantong Tang Guobiao Wang Xiyong Du School of Mechanical Engineering Tianjin UniversityTianjin300354China Quality Department Shaoxing Key Laboratory of Special Equipment Intelligent Testing and EvaluationShaoxing312071China

Stirred reactors are key equipment in production,and unpredictable failures will result in significant economic losses and safety ***,it is necessary to monitor its health *** achieve this goal,in this study,five states of the stirred reactor were firstly preset:normal,shaft bending,blade eccentricity,bearing wear,and bolt *** signals along x,y and z axes were collected and analyzed in both the time domain and frequency ***,93 statistical features were extracted and evaluated by ReliefF,Maximal Information Coefficient(MIC)and *** above evaluation results were then fused by D-S evidence theory to extract the final 16 features that are most relevant to the state of the stirred ***,the CatBoost algorithm was introduced to establish the stirred reactor health monitoring *** validation results showed that the model achieves 100%accuracy in detecting the fault/normal state of the stirred reactor and 98%accuracy in diagnosing the type of fault.

关键词： Stirred reactor fault diagnosis vibration signal CatBoost

Realization of flexible in-memory computing in a van der Waals ferroelectric heterostructure tri-gate transistor

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Nano Research 2024年第3期17卷 1886-1892页

作者： Xinzhu Gao Quan Chen Qinggang Qin Liang Li Meizhuang Liu Derek Hao Junjie Li Jingbo Li Zhongchang Wang Zuxin Chen School of Semiconductor science and Technology South China Normal UniversityFoshan 528225China Guangdong Provincial Key Laboratory of Chip and Integration Technology Guangzhou 510631China Institute of Solid State Physics Hefei Institutes of Physical science Chinese Academy of SciencesHefei 230601China School of science STEM CollegeRMIT UniversityMelbourne 3000Australia CAS Key Laboratory of Functional Materials and Devices for special Environments Xinjiang Technical Institute of Physics&ChemistryChinese Academy of SciencesUrumqi 830011China Center of Materials science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China College of Optical science and Engineering Zhejiang UniversityHangzhou 310027China International Iberian Nanotechnology Laboratory(INL) Av.Mestre Jose Veiga s/nBraga 4715-330Portugal

Combining logical function and memory characteristics of transistors is an ideal strategy for enhancing computational efficiency of transistor ***,we rationally design a tri-gate two-dimensional(2D)ferroelectric van der Waals heterostructures device based on copper indium thiophosphate(CuInP_(2)S_(6))and few layers tungsten disulfide(WS_(2)),and demonstrate its multi-functional applications in multi-valued state of data,non-volatile storage,and logic *** co-regulating the input signals across the tri-gate,we show that the device can switch functions flexibly at a low supply voltage of 6 V,giving rise to an ultra-high current switching ratio of 107 and a low subthreshold swing of 53.9 mV/*** findings offer perspectives in designing smart 2D devices with excellent functions based on ferroelectric van der Waals heterostructures.

关键词： two-dimensional(2D)ferroelectric heterostructure tri-gate polymorphic regulation in-memory computing

The environmental analysis and site selection of mussel and large yellow croaker aquaculture areas based on high resolution remote sensing

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Acta Oceanologica Sinica 2024年第3期43卷 66-86页

作者： Lina Cai Jie Yin Xiaojun Yan Yongdong Zhou Rong Tang Menghan Yu Marine science and Technology College Zhejiang Ocean UniversityZhoushan 316022China zhejiang Marine Fisheries Research Institute Zhejiang Ocean UniversityZhoushan 316004China

Mussel aquaculture and large yellow croaker aquaculture areas and their environmental characteristics in Zhoushan were analyzed using satellite data and in-situ surveys.A new two-step remote sensing method was proposed and applied to determine the basic environmental characteristics of the best mussel and large yellow croaker aquaculture *** methodology includes the first step of extraction of the location distribution and the second step of the extraction of internal environmental *** fishery ranching index(FRI1,FRI2)was established to extract the mussel and the large yellow croaker aquaculture area in Zhoushan,using Gaofen-1(GF-1)and Gaofen-6(GF-6)satellite data with a special resolution of 2 *** the second step,the environmental factors such as sea surface temperature(SST),chlorophyll a(Chl-a)concentration,current and tide,suspended sediment concentration(SSC)in mussel aquaculture area and large yellow croaker aquaculture area were extracted and analyzed in *** results show the following three points.(1)For the extraction of the mussel aquaculture area,FRI1 and FRI2 are complementary,and the combination of FRI1 and FRI2 is suitable to extract the mussel aquaculture *** for the large yellow croaker aquaculture area extraction,FRI2 is suitable.(2)Mussel aquaculture and the large yellow croaker aquaculture area in Zhoushan are mainly located on the side near the islands that are away from the eastern open *** water environment factor template suitable for mussel and large yellow croaker aquaculture was determined.(3)This two-step remote sensing method can be used for the preliminary screening of potential site selection for the mussels and large yellow croaker aquaculture area in the *** fishery ranching index(FRI1,FRI2)in this paper can be applied to extract the mussel and large yellow croaker aquaculture areas in coastal waters around the world.

关键词： mussel aquaculture area large yellow croaker aquaculture area high resolution satellite site selection environmental analysis

Geometric based apple suction strategy for robotic packaging

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International Journal of Agricultural and Biological Engineering 2024年第3期17卷 12-20页

作者： Zhong Wang Qingyu Wang Mingzhao Lou Fan Wu Yaonan Zhu Dong Hu Mingchuan Zhou Yibin Ying College of Optical Mechanical and Electrical EngineeringZhejiang A&F UniversityHangzhou 311300China College of Biosystems Engineering and Food science Zhejiang UniversityHangzhou 310058China Key Laboratory of Intelligent equipment and Robotics for Agriculture of zhejiang Province Zhejiang UniversityHangzhou 310058China Department of Micro-Nona Mechanical science and Engineering Nagoya UniversityFuro-choChikusa-kuNagoya 464-8601Japan

Packaging is one of the least automated steps among all the fruit postharvest processes,which is time-consuming and ***,a robust suction strategy for robotic manipulation needs to be *** this research,a geometric-based apple suction strategy for robotic packaging was studied,including suction cup design,optimal suction region selection algorithm,and robot system *** the first place,on the basis of the geometric features of the spheroid fruit,the structure of the suction cups was designed to provide reliable suction ***,suction force measurement experiments on both acrylic balls and apples were *** on the results,the parameters of the suction cup were finally *** results also indicated that the curvature radius of the suction region is supposed to larger than that of the suction ***,a robust suction region selection algorithm was developed,which involves four steps:RGB-D information acquisition,object detection and point cloud generation,spherical fitting,and suction region ***,the above methods were integrated into a robotic packaging *** addition,on the basis of spatial-frequency domain imaging(SFDI)technology,early stage bruise was detected for *** results showed that,the proposed suction strategy and system is potential for robust robotic apple packaging.

关键词： apple suction cup robotic packaging robotic manipulation point cloud

Research on the quasi-isentropic driving model of aluminized explosives in the detonation wave propagation direction

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Defence Technology（防务技术） 2024年第2期32卷 596-618页

作者： Hongfu Wang Yan Liu Fan Bai Chao He Yingliang Xu Qiang Zhou Chuan Xiao Fenglei Huang State Key Laboratory of Explosion science and Technology Beijing Institute of TechnologyBeijing100081China China Research and Development academy of Machinery equipment Beijing100089China Beijing Institute of Technology Chongqing Innovation Center Chongqing401120China

Taking CL-20(Hexanitrohexaazaisowurtzitane)-based aluminized explosives with high gurney energy as the research object, this research experimentally investigates the work capability of different aluminized explosive formulations when driving metal flyer plates in the denotation wave propagation *** research results showed that the formulations with 43 μm aluminum(Al) powder particles(The particle sizes of Al powder were in the range of 2~43 μm) exhibited the optimal performance in driving flyer plates along the denotation wave propagation direction. Compared to the formulations with Al powder 13 μm, the formulations with Al powder 2 μm delivered better performance in accelerating metal flyer plates in the early stage, which, however, turned to be poor in the later stage. The CL-20-based explosives containing 25% Al far under-performed those containing 15% Al. Based on the proposed quasi-isentropic hypothesis, relevant isentropy theories, and the functional relationship between detonation parameters and entropy as well as Al reaction degree, the characteristic lines of aluminized explosives in accelerating flyer plates were theoretically studied, a quasi-isentropic theoretical model for the aluminized explosive driving the flyer plate was built and the calculation methods for the variations of flyer plate velocity, Al reaction degree, and detonation product parameters with time and axial positions were developed. The theoretical model built is verified by the experimental results of the CL-20-based aluminized explosive driving flyer plate. It was found that the model built could accurately calculate the variations of flyer plate velocity and Al reaction degree over time. In addition, how physical parameters including detonation product pressure and temperature varied with time and axial positions was identified. The action time of the positive pressure after the detonation of aluminized explosives was found prolonged and the downtrend of the temperature was

关键词： Aluminized explosive Flyer plate experiment Quasi-isentropic theoretical model Al reaction Driving characteristics

Recent Advances on Deep Learning for Sign Language Recognition

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Computer Modeling in Engineering & sciences 2024年第6期139卷 2399-2450页

作者： Yanqiong Zhang Xianwei Jiang School of Mathematics and Information science Nanjing Normal University of Special EducationNanjing210038China

Sign language,a visual-gestural language used by the deaf and hard-of-hearing community,plays a crucial role in facilitating communication and promoting *** language recognition(SLR),the process of automatically recognizing and interpreting sign language gestures,has gained significant attention in recent years due to its potential to bridge the communication gap between the hearing impaired and the hearing *** emergence and continuous development of deep learning techniques have provided inspiration and momentum for advancing *** paper presents a comprehensive and up-to-date analysis of the advancements,challenges,and opportunities in deep learning-based sign language recognition,focusing on the past five years of *** explore various aspects of SLR,including sign data acquisition technologies,sign language datasets,evaluation methods,and different types of neural *** Neural Networks(CNN)and Recurrent Neural Networks(RNN)have shown promising results in fingerspelling and isolated sign ***,the continuous nature of sign language poses challenges,leading to the exploration of advanced neural network models such as the Transformer model for continuous sign language recognition(CSLR).Despite significant advancements,several challenges remain in the field of *** challenges include expanding sign language datasets,achieving user independence in recognition systems,exploring different input modalities,effectively fusing features,modeling co-articulation,and improving semantic and syntactic ***,developing lightweight network architectures for mobile applications is crucial for practical *** addressing these challenges,we can further advance the field of deep learning for sign language recognition and improve communication for the hearing-impaired community.

关键词： Sign language recognition deep learning artificial intelligence computer vision gesture recognition