基于改进邻域均值的全色影像水域提取

利用传统邻域均值法对全色影像水域进行提取时,所提取的水域边界精确度严重依赖于搜索窗口的大小。本文通过分析水域灰度特征以及提取边界不精确的原因,对方法进行针对性的改进:依据邻域各像素点与种子点的灰度差值分别对其赋予不同的灰度值,以处理后的邻域均值作为特征进行水域提取。实验结果表明:基于改进的邻域均值方法对遥感影像水域有较好的提取结果,提取精度较之改进前有明显改善。     

空气潜孔锤钻进是提高钻进效率的有效途径

空气潜孔锤冲击钻进与常规回转钻进技术相比,是以动载钻头冲击破碎岩石方式取代静载切削岩石的方式;岩石的体积破碎代替了研磨剪切破碎;是目前提高钻进效率的最佳钻进技术之一。在同井同钻机钻进时,其钻效可较常规钻进提高11-18倍;在邻井相同地层、相同技术要求时,其钻效可提高13倍左右;在同一勘探区、相同技术要求时,其钻效可提高9倍左右。通过反复对比论证,认为空气潜孔锤钻进能有效提高钻进效率,较好的体现出其潜在的经济与环保价值。     

Review on the Tempestite and the Significance in Xingwen

Since G.Kelling put forward tempestite in 1973,the study has been developed quickly;especially the storm flow theory is known to be a milestone of sedimentology and the geology development as turbidite theory established in 1950s.This paper makes reviews on the development of tempestite theory:the origin and definitions,methods of the study,and its formation environment,scales,sedimentary characters,structures,sequences,model,and hummocky bedding were commented.It also explores the significance of the research on Tempestite of the Xingwen World Geopark.     

一种基于k-means聚类的实时气温动态质量控制方法

针对当前实时气温质量控制存在的问题,提出了一种基于k-means聚类的动态控制算法。算法首先用k-means方法将区域内各测温点划分为若干气温相似的聚类,然后分别对各聚类内的点进行离群率和离群速度的判别,以确定各点的质,量。与传统气温质量控制方法相比,该算法采用单点气温与整体气温相比较的思想,不需要预先设置气温参考极值,因而更具有实用性和科学性。而且,算法的复杂度较低,适合较大气温输入数据集的计算。     

爆破震动灾害主动控制方法研究

在微差爆破工程中,用干扰降震法实现爆破震动灾害主动控制的关键在于确定合理的微差延期时间。由于所使用的普通雷管存在延期误差,设计或选择的延期微差时间往往与实际的有较大出入,影响了微差爆破的效果和顺利实施。确定微差爆破中的实际微差延迟时间对优化微差爆破效果、降低爆破地震效应具有很大的现实意义。用基于小波分析的时能密度法以及信号时-频域转换技术,从实测微差爆破震动信号中分离出各分段震波,通过比较各分段震波在不同延期时间下的叠加效果,得到了微差爆破的较优微差延期时间,实现了爆破震动灾害主动控制。该方法对研究爆破震动效应及其灾害的控制,具有较高的理论和应用价值,为系统开展爆破震动危害控制和预测研究奠定了理论和技术基础。     

A Clustering‐Based Approach to the Capacitated Facility Location Problem1

This research develops a clustering‐based location‐allocation method to the Capacitated Facility Location Problem (CFLP), which provides an approximate optimal solution to determine the location and coverage of a set of facilities to serve the demands of a large number of locations. The allocation is constrained by facility capacities – different facilities may have different capacities and the overall capacity may be inadequate to satisfy the total demands. This research transforms this special location‐allocation problem into a clustering model. The proposed approach has two parts: (1) the allocation of demands to facilities considering capacity constraints while minimizing the cost; and (2) the iterative optimization of facility locations using an adapted K‐means clustering method. The quality of a location‐allocation solution is measured using an objective function, which is the demand‐weighted distance from demand locations to their assigned facilities. The clustering‐based method is evaluated against an adapted Genetic Algorithm (GA) alternative, which integrates the allocation component as described above but uses GA operations to search for ‘optimal’ facility locations. Experiments and evaluations are carried out with various data sets (including both synthetic and real data).     

卫星测高正常点海面高度计算方法研究

正常点海面高计算是卫星测高数据处理的基础.从测高卫星飞行轨道的规律出发,提出了采用“距离加权平均”计算正常点海面高的新方法,阐述了“距离加权平均”这一方法计算正常点海面高的原理.并分别利用传统方法和新方法所计算出的中国海域内正常点海面高数据,进行交叉点海面高不符值及其平差计算,对所得结果进行精度评定.实际计算结果比对证明了利用“距离加权平均”法计算正常点海面高的可行性和优越性.     

Insights from experimental economics on local cooperation in a small-scale fishery management system

Cooperation is central to collective management of small-scale fisheries management, including marine protected areas. Thus an understanding of the factors influencing stakeholders’ propensity to cooperate to achieve shared benefits is essential to accomplishing successful collective fisheries management. In this paper we study stakeholders’ cooperative behavioral disposition and elucidate the role of various socio-economic factors in influencing it in the Roviana Lagoon, Western Solomon Islands. We employed a Public Goods Game from experimental economics tailored to mimic the problem of common pool fisheries management to elucidate peoples’ cooperative behavior. Using Ostrom's framework for analyzing social-ecological systems to guide our analysis, we examined how individual-scale variables (e.g., age, education, family size, ethnicity, occupational status, personal norms), in the context of village-scale variables (e.g., village, governance institutions, group coercive action), influence cooperative behavior, as indexed by game contribution. Ostrom's framework provides an effective window for conceptually peeling back the various socio-economic and governance layers which influence cooperation within these communities. The results of our research show that the most important resource user characteristics influencing cooperative behavior were age, occupation and beliefs about giving access to others to fish for commercial gain. Through elucidating the factors affecting stakeholders’ propensity to cooperate to achieve shared benefits, our analysis provides guidance in understanding cooperation in relation to collective management of marine resources.     

几种图像去噪算法的对比分析

图像去噪作为一种重要的预处理手段,一直以来都是图像处理和计算机视觉领域的研究热点。去噪算法的难点在于去除噪声的同时尽可能保持原始信息的完整性。本文主要研究TV,BLS-GSM,NLM以及BM3D四种经典去噪算法的基本原理,并用模拟数据验证分析四种算法在图像去噪中的性能,实验证明,四种算法均能在保留图像细节的前提下很好的去除噪声,其中,BM3D算法在保证去噪质量的同时效率最高。