中国科学院机构知识库网格系统: 检索

A GIS-Based Multi-Criterion Decision-Making Method to Select City Fire Brigade: A Case Study of Wuhan, China 期刊论文 OAI收割
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2021, 卷号: 10, 期号: 11, 页码: 26
作者: Jiang, Yuncheng; Lv, Aifeng; Yan, Zhigang; Yang, Zhen

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收藏 | 浏览/下载：17/0 | 提交时间：2022/09/21

spatial optimization point of interest potential fire-risk zone multi-criterion decision-making traffic situation

Broad Learning System Based on Maximum Correntropy Criterion 期刊论文 OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 7, 页码: 3083-3097
作者: Zheng, Yunfei; Chen, Badong; Wang, Shiyuan; Wang, Weiqun

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收藏 | 浏览/下载：43/0 | 提交时间：2021/08/15

Learning systems Robustness Standards Optimization Training Perturbation methods Mean square error methods Broad learning system (BLS) incremental learning algorithms maximum correntropy criterion (MCC) regression and classification

Parameter optimization criteria guided 3D point cloud classification 期刊论文 OAI收割
MULTIMEDIA TOOLS AND APPLICATIONS, 2019, 卷号: 78, 期号: 4, 页码: 5081-5104
作者: Li, Hongjun; Meng, Weiliang; Liu, Xinying; Xiang, Shiming; Zhang, Xiaopeng

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收藏 | 浏览/下载：68/0 | 提交时间：2019/07/12

Point cloud classification Feature extraction Conditional random field Parameter optimization criterion Probabilistic neural network

Lattice Boltzmann method for shape optimization of fluid distributor 期刊论文 OAI收割
COMPUTERS & FLUIDS, 2014, 卷号: 94, 期号: 1, 页码: 49-57
作者: Wang, Limin; Fan, Yilin; Luo, Lingai

收藏 | 浏览/下载：32/0 | 提交时间：2014/08/28

Lattice Boltzmann method Fluid distributor Shape optimization Heuristic optimality criterion Flow distribution Pressure drop

Hybrid Optimal Design of the Eco-Hydrological Wireless Sensor Network in the Middle Reach of the Heihe River Basin, China SCI/SSCI论文 OAI收割
2014
作者: Ge Y.

收藏 | 浏览/下载：35/0 | 提交时间：2014/12/24

eco-hydrological wireless sensor network spatial sampling hybrid optimization criterion unconditional stochastic simulation constrained optimization parameter-estimation spatial prediction soil observatories variogram

Parameter optimization of passive dynamic walking biped with knees (EI CONFERENCE) 会议论文 OAI收割
2012 2nd International Conference on Materials Science and Information Technology, MSIT 2012, August 24, 2012 - August 26, 2012, Xi'an, Shaan, China
作者: Zhang P.

收藏 | 浏览/下载：21/0 | 提交时间：2013/03/25

A method to find the optimized parameter values of passive dynamic walking biped is presented. The effects of biped physical parameters on the stability property of passive gaits are studied by simulation experiments. The chosen parameters include the mass distribution length of leg and slope angle. The stability property of passive walking limit cycles is used as criterion of optimization calculation including the orbital stability described by eigen-values of linearized Poincare map and the global property described by size of attraction region. The simulation results show how the stability of limit cycle varies when physical parameters of the passive biped change. The work is useful to explore the inherent property of passive dynamic walking and can be used as an important instruction in the mechanical design of biped robots based on principle of passive dynamic walking. (2012) Trans Tech Publications Switzerland.

Lightweight design and analysis of support structure of certain UAV engine (EI CONFERENCE) 会议论文 OAI收割
2012 International Conference on Electrical Insulating Materials and Electrical Engineering, EIMEE 2012, May 25, 2012 - May 27, 2012, Shenyang, Liaoning, China
Xing X.; Liu B.; Han X.; Jia H.

收藏 | 浏览/下载：31/0 | 提交时间：2013/03/25

Support structure of UAV (Unmanned Aerial Vehicle) engine is the important support for UAV engine playing a support role and bearing extremely complex load so its lightweight strength and dynamic characteristics have a great influence on high performance of UAV. This paper focuses on UAV having the requirement of high performance and stability to the support structure of engine and uses the software of MSC.Patran and MSC.Nastran and topology optimization criterion to lightweight design and analysis the support structure of UAV engine under the premise condition of existing constraints. Then the static strength and modal are analyzed for the result of lightweight design and the strength of the model and dynamic characteristics are verified. (2012) Trans Tech Publications Switzerland.

Optimum design of the carbon fiber thin-walled baffle for the space-based camera (EI CONFERENCE) 会议论文 OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Space Exploration Technologies and Applications, May 24, 2011 - May 26, 2011, Beijing, China
Yan Y.; Gu S.; An Y.; Jin G.

收藏 | 浏览/下载：14/0 | 提交时间：2013/03/25

The thin-walled baffle design of the space-based camera is an important job in the lightweight space camera research task for its stringent quality requirement and harsh mechanical environment especially for the thin-walled baffle of the carbon fiber design. In the paper an especially thin-walled baffle of the carbon fiber design process was described and it is sound significant during the other thin-walled baffle design of the space camera. The designer obtained the design margin of the thin-walled baffle that structural stiffness and strength can tolerated belong to its development requirements through the appropriate use of the finite element analysis of the walled parameters influence sensitivity to its structural stiffness and strength. And the designer can determine the better optimization criterion of thin-walled baffle during the geometric parameter optimization process in such guiding principle. It sounds significant during the optimum design of the thin-walled baffle of the space camera. For structural stiffness and strength of the carbon fibers structure which can been designed the effect of the optimization will be more remarkable though the optional design of the parameters chose. Combination of manufacture process and design requirements the paper completed the thin-walled baffle structure scheme selection and optimized the specific carbon fiber fabrication technology though the FEM optimization and the processing cost and process cycle are retrenchment/saved effectively in the method. Meanwhile the weight of the thin-walled baffle reduced significantly in meet the design requirements under the premise of the structure. The engineering prediction had been adopted and the related result shows that the thin-walled baffle satisfied the space-based camera engineering practical needs very well its quality reduced about 20% the final assessment index of the thin-walled baffle were superior to the overall design requirements significantly. The design method is reasonable and efficient to the other thin-walled baffle that mass and work environment requirement is requirement harsh. 2011 SPIE.

A Judgment Criterion of Crossing Obstacle Ability for Lunar Rover with Track Angle 会议论文 OAI收割
2011 International Conference on Mechatronics and Information Technology, Shenyang, China, August 16-19, 2011
作者: Gu KF(谷侃锋); Yang GY(杨国永)

收藏 | 浏览/下载：18/0 | 提交时间：2012/06/06

Mobile robot traversing obstacles Track angle Judgment criterion Torque optimization Rocker bogie

Using bidirectional binary particle swarm optimization for feature selection in feature-level fusion recognition system (EI CONFERENCE) 会议论文 OAI收割
2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009, May 25, 2009 - May 27, 2009, Xi'an, China
作者: Wang D.; Wang Y.; Wang Y.; Wang Y.; Wang Y.

收藏 | 浏览/下载：21/0 | 提交时间：2013/03/25

In feature-level fusion recognition system the other is optimizing system sensor design to get outstanding cost performance. So feature selection become usually necessary to reduce dimensionality of the combination of multi-sensor features and improve system performance in system design. In general there are two main missions. One is improving the recognition correct rate as soon as possible the optimization is usually applied to feature selection because of its computational feasibility and validity. For further improving recognition accuracy and reducing selected feature dimensions this paper presents a more rational and accurate optimization Bidirectional Binary Particle Swarm Optimization (BBPSO) algorithm for feature selection in feature-level fusion target recognition system. In addition we introduce a new evaluating function as criterion function in BBPSO feature selection method. At the last we utilized Leave-One-Out method to validate the proposed method. The experiment results show that the proposed algorithm improves classification accuracy by two percentage points while the selected feature dimensions are less one dimension than original Particle Swarm Optimization approach with 16 original feature dimensions. 2009 IEEE.