| 基于LSH方法的珊瑚礁鱼类竞争压力查询和资源分配方法 |
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| 引用本文： | 赵丹枫,黄洲,许强,黄冬梅.基于LSH方法的珊瑚礁鱼类竞争压力查询和资源分配方法[J].热带海洋学报,2020,39(2):118-126. |
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| 作者姓名： | 赵丹枫 黄洲 许强 黄冬梅 |
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| 作者单位： | 上海海洋大学信息学院, 上海 201306 |
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| 基金项目： | 国家自然科学基金项目(41671431) |
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| 摘 要： | 基于海洋大数据查询技术的珊瑚礁鱼类保护策略是海洋科学研究的重要课题, 其中鱼群竞争状况对鱼类保护具有重要意义。研究鱼群竞争状况就必须模型化鱼群与珊瑚礁的依赖关系。作为一个简单有效的大数据模型, 图模型是表达这个关系的实用模型。文章提出表达珊瑚礁鱼类种群和珊瑚礁资源依赖关系的竞争图建模方法, 并提出基于局部敏感哈希(Local Sensitive Hashing, LSH)的鱼类种群竞争压力竞争图查询方法, 得到鱼类种群的实时竞争压力状况; 然后根据LSH查询结果, 分析出需要优先保护的鱼类种群; 最后对这些需要优先保护的鱼类种群设计了基于构建人工礁的资源分配方法, 使得区域内珊瑚礁鱼类总体竞争状况改善。
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| 关 键 词： | 珊瑚礁鱼群 竞争图 局部敏感哈希方法 资源分配 总体竞争状况 |
| 收稿时间： | 2019-05-10 |
| 修稿时间： | 2019-07-04 |
Competitive pressure inquiry and resource allocation of coral fishes based on LSH method |
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| Danfeng ZHAO,Zhou HUANG,Qiang XU,Dongmei HUANG.Competitive pressure inquiry and resource allocation of coral fishes based on LSH method[J].Journal of Tropical Oceanography,2020,39(2):118-126. |
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| Authors: | Danfeng ZHAO Zhou HUANG Qiang XU Dongmei HUANG |
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| Institution: | Information College, Shanghai Ocean University, Shanghai 201306, China |
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| Abstract: | Coral fish protection strategy based on ocean big data query technology is an important subject in marine science research. Among them, the competition of fish populations is of great significance to fish protection. In order to study the competition of fish populations, it is necessary to model the relationship between fish populations and coral reefs. As a simple and effective big data model, a graph model is a practical model to express this relationship. Therefore, we propose a competition graph model of coral fish populations and fish-dependent coral reef resources. Then, a big data graph query method based on Local Sensitive Hashing (LSH) is proposed to analyze the competitive pressure of fish populations and obtain real-time competitive pressure of fish populations. Third, according to the results of LSH query, the fish population that needs priority protection is analyzed. Finally, a resource allocation strategy based on constructing artificial reefs was designed for these fish populations to improve the overall competition of coral fishes in the region. |
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| Keywords: | coral fishes competition graph Local Sensitive Hashing resource allocation overall competition |
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