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盐碱胁迫对水稻生长特性及产量的影响

黑龙江农业科学 2024年第3期 1-5页

作者：于艳敏吴立成武洪涛徐振华刘海英冷春旭孙中义闫平黑龙江省农业科学院生物技术研究所/黑龙江省作物与家畜分子育种实验室/国家耐盐碱水稻技术创新中心东北中心/黑龙江省水稻分子育种工程技术研究中心黑龙江哈尔滨150023

为了有效利用并改良盐碱地及改善生态环境,以8份水稻种质资源为材料,设置轻度盐碱胁迫、中度盐碱胁迫、重度盐碱胁迫进行田间耐盐碱性分析,对植株存活率、株高、分蘖、叶绿素相对含量、每穗粒数、结实率以及千粒重等指标进行了比较,分... 详细信息

为了有效利用并改良盐碱地及改善生态环境,以8份水稻种质资源为材料,设置轻度盐碱胁迫、中度盐碱胁迫、重度盐碱胁迫进行田间耐盐碱性分析,对植株存活率、株高、分蘖、叶绿素相对含量、每穗粒数、结实率以及千粒重等指标进行了比较,分析不同程度盐碱胁迫对水稻生长发育特性及产量的影响。结果表明,水稻品种间耐盐碱特性存在差异,水稻存活率表现为轻度盐碱胁迫>中度盐碱胁迫>重度盐碱胁迫,水稻品种从返青期至成熟期植株存活率呈下降趋势。盐碱胁迫导致水稻株高变矮、穗长变短,随着盐碱胁迫程度增加株高和穗长受到的抑制作用变强,同一品种株高和穗长数值表现为轻度盐碱胁迫>中度盐碱胁迫>重度盐碱胁迫,且3种盐碱胁迫处理间差异显著(P中度盐碱胁迫>轻度盐碱胁迫,盐碱化程度越高对水稻产量及产量构成因素造成的损失也越大。相关分析表明,产量相对抑制率与单位面积穗数相对抑制率极显著相关,与实粒数相对抑制率和结实率相对抑制率正相关。说明,盐碱胁迫抑制水稻生长发育,导致产量降低,但合理开发和利用中度、轻度盐碱化土地可以扩大水稻种植面积。

关键词：盐碱胁迫水稻生长特性产量相对抑制率

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P2P Network Trust Strategy Based on New Evaluation Criterion

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P2P Network Trust Strategy Based on New Evaluation Criterion

2015年中国智能自动化学术会议

作者： Xiali Li licheng wu School of Information Engineering Minzu University of China

In this paper we proposed a new comprehensive trust strategy which uses Malicious Percentage(MP), Feedback Consistency Percentage(FCP) and Initial Trust Vector(IPV) as the new trust evaluation criterion to help filter malicious peers in selection of peers. Simulations demonstrate that the new trust strategy can speed the execution time of the algorithm and enhance the successful transaction rate when resisting cooperative-cheating peers.

关键词： P2P network Trust strategy Malicious percentage(MP) Feedback consistency percentage(FCP) Initial trust vector(IPV)

A Multi-modal Searching Algorithm in Computer Go Based on Test

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A Multi-modal Searching Algorithm in Computer Go Based on Te...

2015年中国智能自动化学术会议

作者： Xiali Li licheng wu School of Information Engineering Minzu University of China

Pattern matching algorithms based on domain knowledge have a weak global sense. Monte Carlo algorithms have a weak tactical ability. This article proposed a multi-modal algorithm on the basis of tests. GNU Go software was used to make experiments. Through the analysis of the experiment data, we set the move thresholds of start, middle, and the end of a Go play game. In the start stage, pattern matching algorithm was used. In the middle stage, Monte Carlo tree search algorithm with pruning was used to search the optimal moves. In the end stage, pattern matching and crazy model were used. The multi-modal algorithm was applied to develop software. Experiments demonstrate that multi-modal algorithm can improve the performance of Go in 13 × 13 board and 19 × 19 board.

关键词： Go Pattern matching Monte Carlo Pruning Domain knowledge Multi-modal

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水稻品种恶苗病抗性评价与筛选

农学学报 2024年第7期14卷 1-5页

作者：于艳敏武洪涛刘海英徐振华吴立成杨忠良张书利高大伟闫平黑龙江省农业科学院生物技术研究所/黑龙江省作物与家畜分子育种实验室哈尔滨150028 国家耐盐碱水稻技术创新中心东北中心/黑龙江省水稻分子育种工程技术研究中心哈尔滨150028

为了探讨黑龙江省南部稻区水稻品种对恶苗病的抗性级别及水稻恶苗病田间发病情况,筛选水稻恶苗病抗性品种,采用芽期人工接种的方法,调查分析了60份常规粳稻田间恶苗病发病率。结果表明:不同水稻品种恶苗病田间发生程度不同,水稻恶苗病... 详细信息

为了探讨黑龙江省南部稻区水稻品种对恶苗病的抗性级别及水稻恶苗病田间发病情况,筛选水稻恶苗病抗性品种,采用芽期人工接种的方法,调查分析了60份常规粳稻田间恶苗病发病率。结果表明:不同水稻品种恶苗病田间发生程度不同,水稻恶苗病发病率范围为0.8%~39.9%,平均发病率14.6%,筛选到1个高抗水稻品种,26个抗性水稻品种,抗性品种共占73.3%,总体抗感比为11:4,黑龙江省南部水稻品种对恶苗病抗性存在品种间差异,生产上应该提倡种植抗性强的品种以防止病害发生,本研究为病害绿色防控以及水稻恶苗抗病育种提供一定依据。

关键词：水稻品种水稻恶苗病抗性评价品种筛选

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Review and Research Issues on Underactuated Finger Mechanism

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Review and Research Issues on Underactuated Finger Mechanism

2015年中国智能自动化学术会议

作者： licheng wu Yanxuan Kong Xiali Li Minzu University of China

The current typical prototypes, design methods, and analysis theory on underactuated finger mechanism are reviewed. Primary existing problems are also pointed out according to some analyses. Finally, several important... 详细信息

关键词： Robotic hand Robotic finger Underactuated finger mechanism(UFM) The state of the art

UCT Algorithm in Amazons Human-computer Games

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UCT Algorithm in Amazons Human-computer Games

第26届中国控制与决策会议

作者： Xiali Li Liang Hou licheng wu School of Information Engineering MINZU University of China

The main difficulty of Amazons games is the huge branch factor. Traditional NegaMax Search and Alpha-Beta Search can only search a few layers and can’t improve the games effectively. Monte-Carlo Algorithm can improve the games but it needs a huge amount of computing. This paper studies applying UCT algorithm to the Amazons games to overcome this problem in order to balance the search efficiency and computing load. In UCT mini-max tree search, the algorithm select tree node according to the node’s UCB(Upper Confidence Bound) *** evaluate the selected node and return the optimal moves. Using C++ programming language, we implemented Amazons human-computer games software. The experiments show that UCT algorithm can implement the search work in Amazons human-computer games and get satisfactory search efficiency.

关键词： Artificial Intelligence Computer Games Amazons UCT Algorithm Monte-Carlo

A novel quantum-inspired immune clonal algorithm with the evolutionary game approach

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Progress in Natural Science:Materials International 2009年第10期19卷 1341-1347页

作者： Qiuyi wu,licheng Jiao,Yangyang Li,Xiaozheng Deng Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China,Institute of Intelligent Information Processing,Xidian University,Xi’an 710071,China Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China Institute of Intelligent Information Processing Xidian University Xi’an 710071 China

The quantum-inspired immune clonal algorithm(QICA) is a rising intelligence *** on evolutionary game theory and QICA,a quantum-inspired immune algorithm embedded with evolutionary game(EGQICA) is proposed to solve combination optimization *** this paper,we map the quantum antibody’s finding the optimal solution to player’s pursuing maximum utility by choosing strategies in evolutionary *** dynamics is used to model the behavior of the quantum antibody and the memory mechanism is also introduced in this *** results indicate that the proposed approach maintains a good diversity and achieves superior performance.

关键词： Game theory Evolutionary game Replicator dynamics Quantum-inspired optimization Artificial immune system

Knowledge-Graph-Aware Recommendation in Movie Domain

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Knowledge-Graph-Aware Recommendation in Movie Domain

2021中国智能自动化大会(CIAC2021)

作者： Yingying Cai Xiali Li licheng wu Qian Li Minzu University of China

Knowledge-graph-aware recommendation often overlooks the importance of unstructured information, such as text information and picture information. In order to address the problem, we propose KGMR(Knowledge Graph for Movie Recommendation) algorithm which uses a large amount of heterogeneous information provided by the multi-modal knowledge graph to design the semantic types and semantic relations in the movie field. Constructed a knowledge graph in the film domain, and visualized it with Neo4j graph database. The text information and picture information are respectively represented by Doc2Vec and Convolutional Auto-Encode(CAE) algorithms, combined with Bayesian Personalized Ranking(BPR) to construct a recommendation system. Using the MovieLenslatest-small data set for testing, the results show that KGMR has a good improvement in the evaluation value, which proves that the knowledge graph of movies is integrated into the recommendation algorithm, and movies can be accurately recommended to target users.

关键词： Knowledge graph Movie recommendation Collaborate filtering

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水上行走机器人腿部静力学分析

北京航空航天大学学报 2010年第10期36卷 1176-1179页

作者：王淑慧吴立成北京航空航天大学自动化科学与电气工程学院北京100191 中央民族大学信息工程学院北京100081

水上行走机器人仿生水黾,利用腿部产生的表面张力在液体表面站立和行走.通过静力学分析可计算机器人载重能力,并给出腿部形状设计准则.建立了水上行走机器人支撑腿的静力学模型,分析了表面张力最大值条件即水面打破条件,提出了腿部支撑... 详细信息

水上行走机器人仿生水黾,利用腿部产生的表面张力在液体表面站立和行走.通过静力学分析可计算机器人载重能力,并给出腿部形状设计准则.建立了水上行走机器人支撑腿的静力学模型,分析了表面张力最大值条件即水面打破条件,提出了腿部支撑力及其最大允许入水深度的计算方法.采用该方法,使用Matlab计算得到了几种不同材料的表面张力与接触角关系曲线,计算了几种材料支撑腿的支撑力及其允许入水深度的最大值,并通过与实验数据相比较,验证了计算方法和结果的正确性.

关键词：水上行走机器人表面张力静力学

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