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	The influence of genetics factor on key growth traits and quantitative genetic analysis of sea cucumber Apostichopus Japonicus (Selenka) heat-resistant and fast-growing strain 期刊论文 OAI收割 AQUACULTURE INTERNATIONAL, 2015, 卷号: 23, 期号: 1, 页码: 219-233 作者: Zhang, Sicong; Yang, Hongsheng; Liu, Shilin; Zhang, Libin; Ru, Xiaoshang 收藏 \| 浏览/下载：22/0 \| 提交时间：2015/06/15 Sea cucumber Apostichopus japonicus (Selenka) Family NC II Combining ability Heritability
	Combining ability and heterosis analysis over two environments in a diallel cross of three families of the clam Meretrix meretrix CNKI期刊论文 OAI收割 2014 作者: DAI Ping; WANG Hongxia; XIAO Guoqiang; LIU Baozhong \| 收藏 \| 浏览/下载：1/0 \| 提交时间：2024/12/18 Meretrix meretrix,general and specific combining ability,reciprocal effects,heterosis,diallel cross
	Combining ability and heterosis analysis over two environments in a diallel cross of three families of the clam Meretrix meretrix 期刊论文 OAI收割 ACTA OCEANOLOGICA SINICA, 2014, 卷号: 33, 期号: 10, 页码: 37-42 作者: Dai Ping; Wang Hongxia 收藏 \| 浏览/下载：38/0 \| 提交时间：2015/06/11 Meretrix meretrix general and specific combining ability reciprocal effects heterosis diallel cross
	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).
	Study of the neural network constitutive models for turfy soil with different decomposition degree (EI CONFERENCE) 会议论文 OAI收割 2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011, July 15, 2011 - July 17, 2011, Inner Mongolia, China 作者: Nie L. 收藏 \| 浏览/下载：18/0 \| 提交时间：2013/03/25 The turfy soil is of a special humus soil. The decomposition degree is the main factor on the physical and mechanical properties of turfy soil. To build the turfy soil constitutive model there are a few shortages such as the calculation cumbersome and low accuracy for parameter value with the method of traditional models. Furthermore those methods did not reflect the influence of strength that effected by decomposition degree of the turfy soil. In this paper the relationship of stress-strain with different decomposition degrees of turfy soil was carried out through indoor tests. Based on above experimental results an improved method which divided into different zones according to different decomposition degrees of turfy soil and calculated combining with neural network constitutive model is put forward. The result shows that the neural network of turfy soil has good fitting precision and good generalization ability. It can fully describe the influence of the turfy soil. 2011 IEEE.
	Heterosis and combining ability:a diallel cross of three geographically isolated populations of Pacific abalone Haliotis discus hannai Ino CNKI期刊论文 OAI收割 2010 作者: Deng YW(邓岳文); Liu X(刘晓); Zhang GF(张国范); Wu FC(吴富村) \| 收藏 \| 浏览/下载：1/0 \| 提交时间：2024/12/18 Haliotis discus hannai Ino heterosis combining ability
	Heterosis and combining ability a diallel cross of three geographically isolated populations of Pacific abalone Haliotis discus hannai Ino 期刊论文 OAI收割 CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2010, 卷号: 28, 期号: 6, 页码: 1195-1199 作者: Deng Yuewen; Liu Xiao; Zhang Guofan; Wu Fucun 收藏 \| 浏览/下载：26/0 \| 提交时间：2015/07/20 Haliotis discus hannai Ino heterosis combining ability