Spatial optimization by simulated annealing and linear programming

Forest management planning comprises selection among treatment alternatives in management units. A traditional linear programming (LP) approach may effectively account for a profit maximization objective combined with sustainability constraints, e.g. on the temporal distribution of harvest volume flows, cash‐flow, and net present value development, but it fails to account for spatial constraints, especially those associated with final felling. By applying a simulated annealing adjacency model based on net present value maximization and combined with an LP consequence computation model, it is possible to delineate optimal strategies of final felling scheduling. Evaluation is made of the trade‐off between (1) the incremental cost (determined by use of the LP model) of an optimal adjacency model solution, and (2) the potential damage cost resulting from adjacency characteristics such as windthrow and bark injuries. The decision support system may contribute significantly to reduce damage costs and may improve the reliability of forest management planning.     

Discrimination between Japanese and Chinese Products using trace elements concentration of kernel in pickled Japanese apricot

pp. 875–880

The trace-element composition of kernel in pickled Japanese apricot (Prunus mume Sieb. et Zucc.) was determined using an inductively coupled plasma optical emission spectrometer in order to distinguish between Japanese products and Chinese products.

Strontium and barium concentrations in the kernels of Chinese products were 10 or more times those of the Japanese ones. When based on 8.0 mg kg^?1 of strontium concentration in kernel, 93.2% of sample was distinguished as Japanese products or Chinese ones.

Applying principal component analysis using 9 elements (Mn, Zn, Fe, Ni, Ba, Sr, Cu, Co, Cr), the pickled Japanese apricots tend to separate into two countries. Linear discriminant analysis (LDA) using 9 elements allowed a reasonable classification of pickled Japanese apricots according to the country of production.

The result of the analysis of K-nearest neighbors (KNN) was better than that of LDA.     

Thermal degradation modeling of flexural strength of wood after exposure to elevated temperatures

Abstract

Wood is being used heavily in single-family residential dwellings. Therefore, it is important to categorize their response when exposed to elevated temperatures for a sustained period of time. An important aspect of structural fire design is to assess postfire residual strength of existing structures. This study addresses this issue by developing models to predict strength degradation of wood after exposure to elevated temperature. The objectives were to (a) study the effect of exposure time on bending strength [Modulus of Rupture (MOR)] of wood at elevated temperatures, (b) interpret any relationships between different temperature and time of exposure using kinetics and a statistical approach, and (c) compare the two approaches. Two hundred thirty-two samples in total were tested in flexure as a function of exposure time and several temperatures. MOR of wood decreased as a function of temperature and exposure time. Rate of degradation was higher at higher temperatures. These results were fit to a simple kinetics model, based on the assumption of degradation kinetics following an Arrhenius activation energy model with apparent activation energy of 37.4 kJ/mol. A regression-based statistical model was also developed. The kinetics-based model fit the data better with one less parameter and predictions consistently matched the observed values, making the model preferred over the regression approach.     

森林采伐限额与林业企业生产经营优化的探讨

简述了实施森林采伐限额制度的意义，以及实施限量采伐对林业企业经济的影响。利用投入产出与线性规划最优化模型对林业企业生产经营进行优化设计，提出了解决林业企业民限量采伐矛盾的方法和途径。     

线性回归模型参数的BC估计

对线性回归模型的参数给出了一种新的有偏压缩估计，简称ＢＣ估计，并证明了ＢＣ估计的许多优良性质。     

AX=b在逆M-阵类中的反问题

将线性方程组 Ａ Ｘ＝ ｂ 分为５ 种情况（ Ｘ＞ ０、 Ｘ≥０、 Ｘ＜ ０、 Ｘ≤０、 Ｘ 为一般情况），通过构造矩阵的方法，讨论了该线性方程组的反问题在逆 Ｍ－ 阵类中有解的条件．在一般情况下，当给定的实向量 Ｘ 与ｂ 中相应的分量同号时，则线性方程组 Ａ Ｘ＝ ｂ 在逆 Ｍ － 阵类中的反问题有解．     

绿道在城镇密集区的应用

在分析绿道理论作为线性廊道重组自然空间的基础上,以金堂公园东区为例,提出3种类型绿道的设计途径和方法,包括边缘区绿道、自行车骑游道及游步道,使金堂公园东区形成完善的绿道网络系统.绿道的交通组织、生态、文化、科普、健身、游憩等功能均得到相应体现.     

基于线阵CCD的油菜条播排种器播量在线监测装置的设计及试验

针对油菜条播机窝眼轮式排种器存在多粒种子同时下落难以监测的问题,设计加装了一种基于线阵CCD传感器的播量监测装置。监测装置发射端采用点光源,通过一组凸透镜形成由平行光线覆盖的种子监测区域,接收端采用线阵CCD传感器,通过实时监测像素值的连续变化,监测油菜种子播量,从而实现对播量的精确计量。运用室内试验台架,对窝眼轮式油菜排种器进行了单粒排种、排种计数、播量监测以及漏播和堵塞报警试验。结果表明:投种高度小于150 mm时,监测装置对单粒投种的监测准确率达100%;排种轴转速分别为20、30和40r/min时,监测装置对1000粒油菜种子计数的准确率分别为98.98%,98.26%和97.32%,对于5、10和20min连续排种播量计量的准确率均能达到97%以上。     

线性模型与机器学习模型在牦牛体重预测比较

本研究旨在比较线性回归模型与机器学习模型在利用体尺性状预测体重时的准确性。测定102头革吉那布地区两岁龄牦牛相关体尺性状(体高、体长和胸围)与体重,然后将数据按照不同比例梯度分为训练集和测试集,利用传统的一般线性模型方法和机器学习方法(高斯过程回归、支持向量机)分别构建体尺性状与体重之间的回归预测模型。每个比例均重复5次,将体重的真实值与预测值之间的相关系数均值作为当前比例下的模型准确性结果。结果显示,随着训练集数据的增加,线性回归模型的预测结果较稳定在0.71至0.80之间,而机器学习方法的预测准确性最高达到0.91。故在训练集数据充足的情况下,相比于一般线性模型,利用机器学习方法进行预测具有更高的准确性。     

Genetic structuring and diversity patterns along rivers – local invasion history of Ambrosia artemisiifolia (Asteraceae) along the Danube River in Vienna (Austria) shows non‐linear pattern

Ambrosia artemisiifolia is an annual weed from North America that nowadays is invasive in many countries worldwide. In Austria, numerous populations of A. artemisiifolia are located along the Danube River, especially along the ‘New Danube’ (Vienna). This area is characterised by ruderal and riparian sites, which are regularly flooded. To better understand the spread of A. artemisiifolia and its colonising behaviour along the Danube River, we analysed genetic structure and diversity based on 23 populations linearly arranged along the Viennese Danube riverbed and upstream, utilising the Amplified Fragment Length Polymorphism (AFLP) fingerprint method. We generated 284 polymorphic AFLP markers across 446 A. artemisiifolia plants. The genetic diversity within populations was higher (HW = 0.091) than among populations (HB = 0.007). This result indicates A. artemisiifolia introductions from similar mixtures of sources or spread from a single already mixed introduction. Within our local setting, we were unable to identify neither source or sink populations nor an obvious linear genetic structuring. Genetic among‐population differentiation was low to moderate (amova ‐derived F_ST = 0.124). Lack of geographical structuring is indicative of highly dynamic gene flow, which is further supported by the absence of an isolation‐by‐distance pattern. Multiple introductions and non‐directional gene flow are most likely promoted by anthropogenic disturbance and human‐mediated dispersal. Our results demonstrate the ability and speed of A. artemisiifolia to settle in newly disturbed areas and the difficulties to predict invasion directions, as downstream river dispersal was negligible.