Establishing an eyeball-weight relationship for Litopenaeus vannamei using machine vision technology

This study aimed to establish a shrimp eyeball-weight relationship model for Litopenaeus vannamei using machine vision technology. A total of 295 shrimp were sampled from a recirculating aquaculture system (RAS). The long-axis length (d), body length (L), and body weight (W) of each individual was measured. The long axis length of the shrimp eyeball was identified and measured using machine vision technology. Continuous fitting and piecewise fitting models were used to construct the eyeball-weight relationship model for L. vannamei. The continuous fitting relationship model was described as: W = 38.865d^2.7914, while the piecewise model was described as: d < 2 mm, W = 0.0326d^3.7363, R² = 0.9288; 2 mm ≤ d < 3.9 mm, W = 0.0401d^3.104, R² = 0.9629; 3.9 mm ≤ d < 5.8 mm, W = 0.0421d^3.0311, R² = 0.9216; 5.8 mm < d, W = 0.103d^2.6226, R² = 0.9457. The root mean square error (RMSE) of the piecewise fitting model (0.0244, 0.1575, 0.5034, 0.7072) was smaller than the continuous fitting model (0.8229). The correlation coefficient (R²) of the piecewise model (0.9288, 0.9629, 0.9216, and 0.9457) was similar to that of the continuous fitting model (R² = 0.9621). The results indicated that the piecewise fitting model is suitable for calculating the biomass of L. vannamei in RAS and provides a novel way of estimating the biomass of L. vannamei cultured in RAS. The piecewise fitting model can also provide the foundation of evaluating the production of shrimp using underwater image recognition in intelligent aquaculture systems.     

关于近交系数计算方法的改进

本文对经典方法予以较大的改进.特别是对于有规世代随机出现的系谱中的近交系数,本文给出分段迭代算法,继而大大地提高了近交系数的计算速度.此外,对于多始祖大系谱,我们给出分解算法,使得查找通径和计算工作极易进行.     

一类自变量分段连续的延迟Hopfield型网络分析

利用变量分段连续的微分方程与其诱导出的离散方程的关系,研究了一类自变量分段连续的Hopfield型神经网络的动力学性质。得到了该模型零解稳定的条件,并对结果进行了数值仿真。     

黄土高原小流域次降雨侵蚀产沙分段预报模型研究

建立具有广泛适用性的流域尺度侵蚀产沙预报模型是土壤侵蚀和水土保持研究的前沿领域。本文以黄土高原丘陵沟壑区第一副区岔巴沟流域为例,建立了流域侵蚀产沙人工神经网络模型,并运用缺省因子检验法分析各因子对流域侵蚀产沙的敏感程度;建立了基于敏感因子与分形信息维数的流域次降雨侵蚀产沙分段预报模型,并加以验证。研究表明,人工神经网络模型具有较高的精度,能够很好地定量描述流域水沙耦合关系;径流侵蚀功率和径流深对流域次降雨侵蚀产沙的敏感程度与流域地貌形态的复杂程度有关;以分形信息维数为界限,分段引入径流侵蚀功率和径流深,当Di0.8308时,采用径流侵蚀功率预测精度要高于采用径流深的预测精度,当Di0.8140时,采用径流深预测精度要高于采用径流侵蚀功率的预测精度。该侵蚀产沙分段预报模型的建立和方法的提出具有一定的合理性和可靠性,对其他侵蚀产沙模型有一定的借鉴之处。     

高精度土壤温度原位测量系统

为分析土壤温度对地层水热参数的影响,以热电偶为测温传感器,设计了单片机控制的高精度土温测量系统.从硬件、软件曲线拟合算法等方面进行了研究,温度采集采用电桥法,并用最小二乘法对采样值与温度进行分段拟合,描绘出采样值与温度关系曲线,对测量误差进行了修正和补偿.结果表明:系统的实验测量绝对误差低于0.02℃.     

河南农民收入增长趋势分析

针对河南农民收入时序,首先建立线性退势模型,发现存在1983、1990、1996、2003、2007等5个结构性断点.引入时间虚拟变量后建立了分段线性模型.发现自1983-1989年间年均收入绝对增幅最低,而2003年后增幅则明显高于历史平均水平,但2007年后略有下降.     

关于在农业中分期付款期权的讨论

分析了将分期付款期权应用到农业中的意义,在农产品价格服从几何布朗运动的假设下,建立以农产品为标的的分期付款期权的定价模型,并用分段线性插值法得到基于农产品分期付款期权的定价公式。     

Urbanization increases the range,but not the depth,of forest edge influences on Pinus sylvestris bark pH

The influence of forest edge on Pinus sylvestris bark pH was evaluated in urban and suburban pine forests in Yekaterinburg (South Taiga subzone, Central Urals, Russia). The measurements was conducted in 18 transects (rows of 6–10 sample plots arranged in pairs along a 100–260 m line perpendicular to the forest boundary); 12 transects (110 plots) were located in the urban forest and 6 transects (58 plots) in the suburban forest. All the characteristics studied (degree of urbanization, distance from forest boundary, and type and age of boundary), were found to have a significant effect on the pH of P. sylvestris bark. Bark alkalinization increased on average by 0.2 to 0.5 pH units above background along a gradient from the forest interior to the forest edge. In urban forests, the edge influence was about twice greater (0.6–0.8 pH units) than in suburban forests (0.2–0.3 pH units), while the depth ranged between 70 and 160 m. Little variation in the depth of the edge influence observed due to transect characteristics, and no differences were noted due to degree of urbanization. The range of the edge influence was cumulative over the time that had elapsed since forest fragmentation and highway construction. The results show that urban airborne dust pollution affects southern taiga pine forests to a depth of about 100 to 150 meters from forest boundary. This circumstance is important to take into account when planning the locations of the borders of forests, roads, residential and social areas.