中国科学院机构知识库网格系统: 检索

Do large-scale agricultural entities achieve higher livelihood levels and better environmental outcomes than small households? Evidence from rural China 期刊论文 OAI收割
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2024, 页码: 15
作者: Li, Ming; Feng, Xuechun; Tian, Congshan; Li, Yaqi; Zhao, Weizhao

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收藏 | 浏览/下载：7/0 | 提交时间：2024/04/19

Rural livelihood Livelihood strategy New agricultural business entities Sustainable agriculture Environmental protection

An Integrative Proteome-Based Pharmacologic Characterization and Therapeutic Strategy Exploration of SAHA in Solid Malignancies br 期刊论文 OAI收割
JOURNAL OF PROTEOME RESEARCH, 2022, 卷号: 21, 期号: 4, 页码: 953-964
作者: Liu, Quan; Hao, Bingbing; Zhang, Mingya; Liu, Zhiwei; Huang, Yuqi

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收藏 | 浏览/下载：51/0 | 提交时间：2022/06/15

proteomics SAHA 2-deoxy-D-glucose new combination strategy

Research on Distributed Intelligent Protection Strategy of distribution network based on Reinforcement Learning 会议论文 OAI收割
Chongqing, China, December 17-19, 2021
作者: Cui SJ(崔世界); Zeng P(曾鹏); Hu ED(胡恩德)

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收藏 | 浏览/下载：20/0 | 提交时间：2022/04/13

deep reinforcement learning distributed protection strategy distribution network protection intelligent protection device New power system

Conceptional design of a heavy ion linac injector for HIRFL-CSRm 期刊论文 OAI收割
CHINESE PHYSICS C, 2014, 卷号: 38, 页码: 107002
作者: Zhang, XH; Zhang, XH (reprint author), Chinese Acad Sci, Inst Modern Phys, Lanzhou 730000, Peoples R China.; Yuan, YJ; Du, H; Xia, JW

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收藏 | 浏览/下载：20/0 | 提交时间：2017/04/05

Linac Injector Heavy Ion Rfq Parametric Resonances Konus Ih-dtl New Strategy

Reentry guidance based on feedback linearization (EI CONFERENCE) 会议论文 OAI收割
2011 International Conference on Electronics, Communications and Control, ICECC 2011, September 9, 2011 - September 11, 2011, Ningbo, China
Li D.-W.

收藏 | 浏览/下载：30/0 | 提交时间：2013/03/25

This paper presents a new reentry guidance algorithm for RLV (Reusable Launching Vehicle). The algorithm consists of two integrated components: trajectory planning algorithm and tracking algorithm. The most striking feature of algorithm here lies in that both planning and tracking are executed directly in height-velocity space which is different from the methodology of configuration of drag in traditional shuttle guidance. In the session of trajectory planning all trajectory constraints can be expressed with upper bound and lower bound in height-velocity space then a linear interpolation is carried to search the nominal trajectory satisfying the requirement of downrange and target constraints. Then the tracking algorithm uses feedback linearization method to track this nominal profile and meet all constraints. Another typical feature of this algorithm is the strategy of downrange extension using FPA (flight path angle) controller to fulfill the requirement of large downrange. Proper combination of planning-tracking algorithm and FPA controller can bring great flexibility and adaptability to reentry guidance. The algorithm is proved to be robust enough to accommodate the model error and noises in the dynamics. 2011 IEEE.

The new approach for infrared target tracking based on the particle filter algorithm (EI CONFERENCE) 会议论文 OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者: Sun H.; Han H.-X.; Sun H.

收藏 | 浏览/下载：59/0 | 提交时间：2013/03/25

Target tracking on the complex background in the infrared image sequence is hot research field. It provides the important basis in some fields such as video monitoring precision and video compression human-computer interaction. As a typical algorithms in the target tracking framework based on filtering and data connection the particle filter with non-parameter estimation characteristic have ability to deal with nonlinear and non-Gaussian problems so it were widely used. There are various forms of density in the particle filter algorithm to make it valid when target occlusion occurred or recover tracking back from failure in track procedure but in order to capture the change of the state space it need a certain amount of particles to ensure samples is enough and this number will increase in accompany with dimension and increase exponentially this led to the increased amount of calculation is presented. In this paper particle filter algorithm and the Mean shift will be combined. Aiming at deficiencies of the classic mean shift Tracking algorithm easily trapped into local minima and Unable to get global optimal under the complex background. From these two perspectives that "adaptive multiple information fusion" and "with particle filter framework combining" we expand the classic Mean Shift tracking framework.Based on the previous perspective we proposed an improved Mean Shift infrared target tracking algorithm based on multiple information fusion. In the analysis of the infrared characteristics of target basis Algorithm firstly extracted target gray and edge character and Proposed to guide the above two characteristics by the moving of the target information thus we can get new sports guide grayscale characteristics and motion guide border feature. Then proposes a new adaptive fusion mechanism used these two new information adaptive to integrate into the Mean Shift tracking framework. Finally we designed a kind of automatic target model updating strategy to further improve tracking performance. Experimental results show that this algorithm can compensate shortcoming of the particle filter has too much computation and can effectively overcome the fault that mean shift is easy to fall into local extreme value instead of global maximum value.Last because of the gray and fusion target motion information this approach also inhibit interference from the background ultimately improve the stability and the real-time of the target track. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).

The registration of aerial infrared and visible images (EI CONFERENCE) 会议论文 OAI收割
2010 International Conference on Educational and Information Technology, ICEIT 2010, September 17, 2010 - September 19, 2010, Chongqing, China
作者: Liu J.; Wang Y.; Wang Y.; Wang Y.; Wang Y.

收藏 | 浏览/下载：25/0 | 提交时间：2013/03/25

In order to solve the registration problem of different source image existed on aerial image fusion algorithms based on Particle Swarm Optimization (PSO) are applied as search strategy in this paper and Alignment Metric (AM) is used as judgment. This study has realized the different source image registration of infrared and visible light with high speed high accuracy and high reliability. Basically with little restriction of gray level properties a new alignment measure is applied which can efficiently measure the image registration extent and tolerate noise well. Even more the intelligent optimization algorithm - Particle Swarm Optimization (PSO) is combined to improve the registration precision and rate of infrared and visible light. Experimental results indicate that the study attains the registration accuracy of pixel level and every registration time is cut down over 40 percent compared to traditional method. The match algorithm based on AM solves the registration problem that greater differences between different source images are existed on gray and characteristic. At the same time the adoption of combining the intelligent optimization algorithms significantly improves the searching efficiency and convergence speed of the algorithms and the registration result has higher accuracy and stability which builds up solid foundation for different source image fusion. The method in this paper has a magnificent effect and is easy for application and very suitable for engineering use. 2010 IEEE.

A dynamic data mining model for engineering management (EI CONFERENCE) 会议论文 OAI收割
2009 Second ISECS International Colloquium on Computing, Communication, Control, and Management, CCCM 2009, August 8, 2009 - August 9, 2009, Sanya, China
Zhu J.-W.; Tang Y.-G.

收藏 | 浏览/下载：29/0 | 提交时间：2013/03/25

Data mining has become increasingly critical for the success of companies in this emerging era of Engineering Management. As Engineering Management activities increasingly shift to the web the challenge facing corporate management is maintaining competitive advantage by building strong relations with employees customers and suppliers and partners. A good data mining strategy can help achieve this goal. Unfortunately many companies use data mining technologies that do not suit today's new information era. This paper addresses the definitions about data mining area of data mining development of data mining then provide an summary of the driving and impeding forces that help and hinder proper deployment of data mining strategies in Engineering Management. Finally the paper advocates the strategy of data mining for Engineering Management. 2009 IEEE.

A high-precision fuzzy control algorithm with self-regulating factor for thermo therapy of tumor (EI CONFERENCE) 会议论文 OAI收割
2007 IEEE International Conference on Control and Automation, ICCA, May 30, 2007 - June 1, 2007, Guangzhou, China
Bidou W.; Yueyan C.; Qingfeng M.; Hong J. C.

收藏 | 浏览/下载：28/0 | 提交时间：2013/03/25

In this paper we present a new thermo therapy of tumor control algorithm in which a self-regulation factor is adopted to realize real-time temperature control with high-precision fuzzy controller. This method can not only realize the real-time control with ignoring influence of impedance parameters but also enhance the stability and dynamic characteristics of the control system and the performance of the radio-frequency thermo therapeutic equipment is enhanced. We have demonstrated this strategy is feasible and effective based on the experiment researches of liver tumor thermo therapy 2007 IEEE.

Adaptive sliding mode control for airborne Opto-Electronic platform servo system (EI CONFERENCE) 会议论文 OAI收割
7th International Conference on Machine Learning and Cybernetics, ICMLC, July 12, 2008 - July 15, 2008, Kunming, China
Wang C.-X.; Liu J.-H.; Shen H.-H.; Dai M.

收藏 | 浏览/下载：21/0 | 提交时间：2013/03/25

The novel presents an adaptive reaching law sliding mode controller to slove a class of uncertain systems.The Airborne Opto-Electronic Platform sliding model is employed to represent a class of complex uncertain system. The control is based on reaching law control. Discrete time implementation of the sliding mode control strategy is considered in the paper since it is more appropriate for practical applications. It is shown that the robustness of the sliding mode control method is constrained by sampling time. Design of the adaptive reaching law based on a discrete expotential reaching law concept is given which to design a new sliding mode controller based on Lyapunov stability theory. The global asymptotic stability is guaranteed. An example with simulation results is given to illustrate the effectiveness of the proposed method. 2008 IEEE.