检索结果-内蒙古大学图书馆

30th International Symposium on Semiconductor Manufacturing, ISSM 2024

作者： Kouda, Miyuki Mori, Yumi Sugita, Tomohiko Ng, Youyang Kioxia Corporation Ai and System Research Center Frontier Technology R and D Institute Yokkaichi-shi Japan Kioxia Corporation Ai and System Research Center Frontier Technology R and D Institute Yokohama-shi Japan Kioxia Corporation Advanced Memory Process Development Center Memory Division Yokkaichi-shi Japan

ISBN: (纸本)9798331510589

In recent years, the complexity of semiconductor manufacturing processes has increased, leading to a growing need for the high-precision optimization of device structures. For example, in batch-type wet etching devices, the flow of chemical liquids within the process bath can vary depending on the device structure, causing variations in the etching state of the wafer. This issue is addressed using a feedback mechanism that iteratively adjusts the device structure based on the results of an etching experiment, thereby achieving more uniform etching conditions. However, this approach requires a large number of trial experiments. In the fabrication process of 3D flash memories, word-line formation in the silicon substrate requires precise control of the silicon concentration in the etching solution. However, this concentration can fluctuate due to the dissolution of the SiN film during the etching process. This fluctuation may cause various problems. This study introduces an innovative method utilizing multi-objective Bayesian optimization to derive optimal wet etching bath design parameters;this method is informed by image and physical-quantity data from fluid dynamics simulations [1]. This approach is validated through simulation experiments, whose results are used to identify the best possible wet etching bath designs effectively. © 2024 IEEE.

关键词： Wet etching

来源：评论

学校读者我要写书评

暂无评论

Knowledge-driven material design platform based on the whole-process simulation and modeling

引用

International Journal of Modeling, simulation, and Scientific Computing 2022年第2期13卷 1-15页

作者： Gongzhuang Peng Tie Li Xiang Zhai Wenzheng Liu Heming Zhang National Engineering Research Center for Advanced Rolling Technology University of Science and Technology Beijing Beijing 100083 P.R.China Shanghai Electro-Mechanical Engineering Institute Shanghai 201109 P.R.China State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System Engineering Beijing 100854 P.R.China Beijing Complex Product Advanced Manufacturing Engineering Research Center Beijing Simulation Center Beijing 100854P.R.China Science and Technology on Space System Simulation Laboratory Beijing Simulation Center Beijing 100854P.R.China National CIMS Engineering Research Center Tsinghua University Beijing 100084P.R.China

In order to realize the agility,collaboration and visualization of alloy material devel-opment process,a product development platform based on simulation and modeling technologies is established in this *** this platform,the whole-process simulation module builds multi-level simulation models based on metallurgical mechanisms from the production line level,the thermo-mechanical coupling field level and the microstructure evolution *** design knowledge management module represents the multi-source heterogeneous material design knowledge through ontology model,including customers’requirement knowledge,material component knowledge,process design knowledge and quality inspection knowledge,and utilizes the case-based reasoning approach to reuse the *** data-driven modeling module applies machine learning algorithms to mine the relationships between product mechanical properties,material components,and process parameters from historical samples,and utilizes multi-objective optimiza-tion algorithms to find the optimal combination of process *** of the developed platform in actual steel mills shows that the proposed method helps to improve the efficiency of product design process.

关键词： Product development knowledge-based engineering multi-scale simulation performance prediction model

来源：评论

学校读者我要写书评

暂无评论

Review of the Circular Economy Implementation in the Agriculture Sector: A Regional development Approach

引用

Circular Economy and Sustainability 2025年第2期5卷 1509-1533页

作者： Mulya, Setyardi Pratika Hudalah, Delik Salim, Wilmar Prilandita, Niken Department of Soil Science and Land Resources Faculty of Agriculture IPB University 16680 Bogor Indonesia Center for Regional System Analysis Planning and Development (CRESTPENT) IPB University 16144 Bogor Indonesia Urban and Regional Planning Study Program School of Architecture Planning and Policy Development Bandung Institute of Technology 40132 Bandung Indonesia Research Center for Infrastructure and Regional Development Bandung Institute of Technology Bandung 40132 Indonesia

Increasing urbanization and rapid resource depletion have forced authorities to shift from the traditional linear system of take-use disposal to a circular system of agricultural pratices. Circular Economy (CE) is a sustainable development approach focused on managing waste generated from the production and consumption of goods, emphasizing the principles of reduction, reuse, and recycling. CE has garnered significant attention in the agricultural sector due to its crucial role inhuman life and its implications for the livelihoods of farmers. Recently, scholars have examined the organization, impact, and measurement of CE implementation in the agricultural sector. The purpose of this paper is to conduct a comprehensive review of various implementations of CE worldwide, taking into account diverse regional characteristics. A systematic literature review was performed, encompassing three hundred and eight publications. These were categorized according to the criteria of urban areas, peri-urban areas, rural areas, and their intersections or combinations. This study identified the intersection of research themes related to CE implementation in each category to reveal the differences in CE intensity across these areas. Twelve categories were identified: raw materials, circularity, waste, processes, contributions, sector/subsector, dimensions, object type, regional aspects, procedures, purpose, and policy/systems. Furthermore, a hypothetical analysis was conducted to assess the benefits, challenges, ease of implementation, and level of circularity associated with CE practices. This study provides valuable insights for policymakers and stakeholders, helping them understand how the interconnectedness of regional aspects and urban development influences the utilization of local resources. Region-based CE policies need to be developed to ensure the continuity of cycles that occur between regions. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.

关键词： Circular city Regional Leakage Regional Planning Sustainable development Urbanization

来源：评论

学校读者我要写书评

暂无评论

A Joint Estimation Method of SOC and SOH for Lithium-ion Battery Considering Cyber-Attacks Based on GA-BP

引用

Computers, Materials & Continua 2024年第9期80卷 4497-4512页

作者： Tianqing Yuan Na Li Hao Sun Sen Tan Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of EducationNortheast Electric Power UniversityJilin132012China Department of Electrical Engineering Northeast Electric Power UniversityJilin132012China College of Information and Control Engineering Jilin Institute of Chemical TechnologyJilin132022China Center for Research on Microgrids Department of EnergyAalborg UniversityAalborg9220Denmark

To improve the estimation accuracy of state of charge(SOC)and state of health(SOH)for lithium-ion batteries,in this paper,a joint estimation method of SOC and SOH at charging cut-off voltage based on genetic algorithm(GA)combined with back propagation(BP)neural network is proposed,the research addresses the issue of data manipulation resulting ***,anomalous data stemming fromcyber-attacks are identified and eliminated using the isolated forest algorithm,followed by data ***,the incremental capacity(IC)curve is derived fromthe restored data using theKalman filtering algorithm,with the peak of the ICcurve(ICP)and its corresponding voltage serving as the health factor(HF).Thirdly,the GA-BP neural network is applied to map the relationship between HF,constant current charging time,and SOH,facilitating the estimation of SOH based on ***,SOC estimation at the charging cut-off voltage is calculated by inputting the SOH estimation value into the trained model to determine the constant current charging time,and by updating the maximum available *** show that the root mean squared error of the joint estimation results does not exceed 1%,which proves that the proposed method can estimate the SOC and SOH accurately and stably even in the presence of false data injection attacks.

关键词： Lithium-ion batteries state of charge state of health cyber-attacks genetic algorithm back propagation neural network

来源：评论

学校读者我要写书评

暂无评论

A Client Selection Method Based on Loss Function Optimization for Federated Learning

引用

Computer Modeling in Engineering & Sciences 2023年第10期137卷 1047-1064页

作者： Yan Zeng Siyuan Teng Tian Xiang Jilin Zhang Yuankai Mu Yongjian Ren Jian Wan School of Computer Science and Technology Hangzhou Dianzi UniversityHangzhou310018China Key Laboratory of Complex System Modeling and Simulation Ministry of EducationHangzhou310018China Zhejiang Engineering Research Center of Data Security Governance Hangzhou310018China Intelligent Robotics Research Center Zhejiang LabHangzhou311100China HDU-ITMO Joint Institute Hangzhou Dianzi UniversityHangzhou310018China

Federated learning is a distributedmachine learningmethod that can solve the increasingly serious problemof data islands and user data privacy,as it allows training data to be kept locally and not shared with other *** trains a globalmodel by aggregating locally-computedmodels of clients rather than their ***,the divergence of local models caused by data heterogeneity of different clients may lead to slow convergence of the global *** this problem,we focus on the client selection with federated learning,which can affect the convergence performance of the global model with the selected local *** propose FedChoice,a client selection method based on loss function optimization,to select appropriate local models to improve the convergence of the global *** firstly sets selected probability for clients with the value of loss function,and the client with high loss will be set higher selected probability,which can make them more likely to participate in ***,it introduces a local control vector and a global control vector to predict the local gradient direction and global gradient direction,respectively,and calculates the gradient correction vector to correct the gradient direction to reduce the cumulative deviationof the local gradient causedby *** experiments to verify the validity of FedChoice on CIFAR-10,CINIC-10,MNIST,EMNITS,and FEMNIST datasets,and the results show that the convergence of FedChoice is significantly improved,compared with FedAvg,FedProx,and FedNova.

关键词： Federated learning model aggregation Non-IID

来源：评论

学校读者我要写书评

暂无评论

research on New Type Secondary Inerter Suspension Damping Devices for Rail Vehicles Based on Low Frequency and High Frequency Track Excitation 3

Research on New Type Secondary Inerter Suspension Damping De...

引用

3rd International Conference on Rail Transportation, ICRT 2024

作者： Dilai, C. Gengchen, S. Chenxu, L. Rui, S. Lixia, S. School of Railway Transportation Shanghai Institute of Technology Shanghai China China Railway Test and Certification Center Limited Beijing China Standards and Metrology Research Institute of China Academy of Railway Sciences Corporation Limited Beijing China Railway Science and Technology Research and Development Center of China Academy of Railway Sciences Corporation Limited Beijing China Wheel-Rail System Laboratory National Engineering Research Center of System Technology for High-Speed Railway and Urban Rail Transit Beijing China

ISBN: (数字)9780784485941

ISBN: (纸本)9780784485941

Different types of secondary inerter suspension vibration damping devices are established set on the Matlab platform and compare and analyzes the dynamic indicators of vehicle operation, selecting the secondary inertial suspension damping device that significantly optimizes both the quality of vehicle operation and the suppression of low-frequency and high-frequency body sway. The research results indicate that for vehicle low-frequency swaying, all four types of new dual-system inertial damping suspension devices have an optimizing effect, with Condition S5 showing the most significant improvement. Compared to the traditional suspension damping device's lateral acceleration of 1.62 m/s2, it has been optimized by 57%, achieving 0.7 m/s2. For vehicle high-frequency swaying, Condition S5 again showing the most notable improvement. Relative to the traditional suspension damping device's lateral acceleration of 0.87 m/s2, it has been optimized by 52%, reaching 0.41 m/s2. After optimizing the parameters for various conditions, the results indicate that Condition S5, with an inertial coefficient of 5,000 kg, provides the best optimization effect on the stability of the vehicle's operation. © ASCE.

关键词： Automobile suspensions

来源：评论

学校读者我要写书评

暂无评论

Intelligent recognition and information extraction of radar complex jamming based on time-frequency features

引用

Journal of systems Engineering and Electronics 2024年第5期35卷 1148-1166页

作者： PENG Ruihui WU Xingrui WANG Guohong SUN Dianxing YANG Zhong LI Hongwen College of Information and Communication Engineering Harbin Engineering UniversityHarbin 150001China Qingdao Innovation and Development Center Harbin Engineering UniversityQingdao 266000China Information Fusion Research Institute Naval Aeronautical UniversityYantai 264001China National Key Laboratory of Science and Technology on Vessel Integrated Power System Naval University of EngineeringWuhan 430033China

In modern war,radar countermeasure is becoming increasingly fierce,and the enemy jamming time and pattern are changing more *** is challenging for the radar to efficiently identify jamming and obtain precise parameter information,particularly in low signal-to-noise ratio(SNR)*** this paper,an approach to intelligent recognition and complex jamming parameter estimate based on joint time-frequency distribution features is proposed to address this challenging ***,a joint algorithm based on YOLOv5 convolutional neural networks(CNNs)is proposed,which is used to achieve the jamming signal classification and preliminary parameter ***,an accurate jamming key parameters estimation algorithm is constructed by comprehensively utilizing chi-square statistical test,feature region search,position regression,spectrum interpolation,etc.,which realizes the accurate estimation of jamming carrier frequency,relative delay,Doppler frequency shift,and other ***,the approach has improved performance for complex jamming recognition and parameter estimation under low SNR,and the recognition rate can reach 98%under−15 dB SNR,according to simulation and real data verification results.

关键词： complex jamming recognition time frequency feature convolutional neural network(CNN) parameter estimation

来源：评论

学校读者我要写书评

暂无评论

research on Multi-UAV Cooperative Reconnaissance Target Information Fusion Algorithm 6

Research on Multi-UAV Cooperative Reconnaissance Target Info...

引用

6th International Conference on Computer Information Science and Application technology, CISAT 2023

作者： Wu, Guoqiang Li, Wushen Huang, Kun Gao, Wei An, Ruirui Beijing Institute of Technology School of Mechatronical Engineering Beijing100081 China China Aerospace Science and Technology Corporation Intelligent Unmanned System Overall Technology Research and Development Center Beijing100094 China

ISBN: (纸本)9781510668546

In order to solve the practical problems such as large number of information sources, information redundancy and difficulty in confirming target in Multi-UAV cooperative reconnaissance scenarios, this paper designs a Multi-UAV target information fusion method combining target re-identification with online clustering technology. A real-time target feature extraction network is constructed to visually characterize reconnaissance target. The target information is encoded by fusing the target's longitude, latitude, category, and visual features. Hamming distance and cosine distance are used to measure the similarity of multi-source target features. Based on the online high-dimensional data clustering algorithm, we build a multi-source target information fusion architecture under Multi-UAV cooperative reconnaissance. Finally, the algorithm is verified based on the actual flight data of drone swarm composed of three UAVs. The experimental results show that the proposed algorithm can effectively fuse multiple reconnaissance target information, reduce the target search and decision time, and improve the efficiency of reconnaissance operations. © 2023 SPIE.

关键词： Information fusion

来源：评论

学校读者我要写书评

暂无评论

Loess erosion change modeling during heavy rainfall

引用

International Journal of Sediment research 2023年第1期38卷 24-32页

作者： Hongwu Zhang Guangquan Liu Chensu Zhao Luohao Zhang Qiang Zhang Heng Fu Shuai Cao Department of Hydraulic Engineering Tsinghua University State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin China Institute of Water Resources and Hydropower Research School of Civil and Environment Engineering University of Science and Technology Beijing Ordos Municipal Water Resources Bureau Ordos Municipal Water Conservancy Development Center

A typical gully sub-basin with a complex geomorphological form is used to do a model test of gravity erosion of loess by considering the sequence of slopes in a prototype gully creating a sequence of underlying surface forms in the upper reaches. The results show that the runoff from heavy rainfall is the main external force for the erosion of loess, and also is an important influencing factor to stimulate and intensify the development of gravity erosion. The soil structure and the height of the critical surface have a direct impact on the possibility of gravity erosion. Spatially, the upper section of the drainage channel mainly experiences undercutting and headcut erosion, the middle section mainly experiences lateral erosion and gravity erosion, and the lower section alternately experiences sedimentation or alluvial erosion. Rainfall splash erosion produces a large amount of sand to yield high concentration mud flows in the middle and lower sections of the channel. Because of the mud flows the flood flow is obviously larger than the runoff volume formed by rainfall in a small watershed. The flood formed by high-intensity rainfall brings a large amount of sediment into the downstream rivers along the channel, indicating that under the condition that high-intensity rainfall on the Loess Plateau, lots sediment will enter the Yellow River, and the erosion deformation occurs on all slopes. Further the steep slope drainage flow causes undercutting and lateral erosion, and the soil body moves down along the slope under the action of gravity. The gully in the middle section still experience sediment washing in both depth and width,and the downstream gully continues to experiences sedimentation due to the reduction of the gradient,reflecting the adaptive adjustment of water flow and the boundary. Headcut erosion occurred on almost all slopes during different periods of rainfall, while gravity erosion mostly occurred on steep slope sections during periods of high-intensity

关键词： Gravity erosion Slope erosion Erosion modeling Heavy rainfall

来源：评论

学校读者我要写书评

暂无评论

Evaluaton on Configuration and Economic Performances of Large-Scale Wind Power to Ammonia system with Different Installation Locations and Operation Strategies 7

Evaluaton on Configuration and Economic Performances of Larg...

引用

7th IEEE International Electrical and Energy Conference, CIEEC 2024

作者： Tao, Weipeng Mao, Meiqin Wu, Jixun Wang, Haining Zou, Shaokun Research Center for Photovoltaic System Engineering Ministry of Education Hefei University of Technology Anhui Hefei China Hefei Sungrow New Energy Development Co. Ltd. Anhui Hefei China

ISBN: (纸本)9798350359558

The green ammonia system powered with wind energy generators not only improves the utilization of installed wind power systems, but also reduces ammonia plant carbon emissions. However, due to the fluctuation of renewable energy in wind turbine (WT) generation systems, the operating points of the wind power to ammonia (WPtA) system fluctuate in a wide range, which greatly reduces the overall operation efficiency and reliability of the system. To this end, this paper proposes a capacity optimization configuration model of WPtA system for GW-scale. By the proposed model, the minimum unit ammonia cost is adopted as the objective function considering the operation constraints and strategies of different system configuration and different installation sites to optimize the configurations of main components such as the capacity of electrolysis hydrogen production system, chemical energy storage system, hydrogen storage system and synthetic ammonia system. Taking the GW-scale WPtA system as an example, the impact of five different installation sites on the optimal configuration and economic performances of the system is discussed and compared with different strategies of the system configuration and operation. © 2024 IEEE.

关键词： Hydrogen storage

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：