基于质量评价技术的多信道语音选优决策系统

在分析远距离多信道同源语音信道特性的基础上 ,用若干特征参数来表征信道传输的语音质量并建立了语音质量客观评价模型 ,结合人的听觉特性等因素开发出一种基于语音质量客观评价技术的优质语音信道选优决策系统。该系统能够确保语音通信始终在最佳信道上 ,且在切换过程中无跳变感觉 ,不影响听觉效果 ,现已在实际工程中得到成功运用并取得了满意效果。     

冗余系统费用模型及优化

根据冗余设计的不同形式 ,在Tillman并联系统费用模型的基础上引入了系统功能指标 ,并将其推广至其它形式的冗余系统 ,从而得到了一个较为完整的冗余系统费用模型。在此基础上 ,建立了用于优化并串联冗余系统设计的非线性混合整数规划模型 ,分别使用了模式搜索与启发式算法的组合算法以及遗传算法对其进行求解 ,着重讨论了两种方法的实现关键及各自的优劣。最后 ,经计算比较 ,提出了遗传算法与模式搜索、启发式算法相结合的求解方法 ,并说明了该方法的有效性。     

数理逻辑之研究对象、学科归属、定义及研究领域

鉴于对数理逻辑这一学科的定义、研究对象、研究领域与学科归属等问题,尚无一个一致的说法,有的已不符合历史发展的现状.例如,就学科归属而言,就有两种说法其一说数理逻辑是数学的一个分支;其二说数理逻辑是逻辑学的一个分支,如此等等.有的数理逻辑著作中完全不论及这类问题.为此,本文从数理逻辑历史发展的几个侧面加以分析,并综合各家之长对数理逻辑的定义、研究对象、研究领域与学科归属等问题进行了探讨.     

优序法在管理成果评价中的应用

在对管理成果进行评价时 ,首先要建立指标体系 ,而在这些指标当中有的可以定量描述 ,有的只能定性来描述 ,所以在评价时应当将定性和定量指标进行综合考虑。优序法就是通过对多目标决策问题进行两两相对比较 ,最后给出全部方案的优序排序。此方法应用简单 ,既能处理定量问题 ,又能处理定性问题。在建立管理成果指标体系的基础上 ,利用优序法 ,给出了管理成果评价方法。     

基于模糊规则的病虫害预防研究

基于Takagi-Sugeno模糊逻辑系统,运用遗传算法提取模糊规划,构建系统的模糊模型,并用于病虫害的预测工作。图2,表1,参6。     

A QTL for rice grain width and weight encodes a previously unknown RING-type E3 ubiquitin ligase

Grain weight is one of the most important components of grain yield and is controlled by quantitative trait loci (QTLs) derived from natural variations in crops. However, the molecular roles of QTLs in the regulation of grain weight have not been fully elucidated. Here, we report the cloning and characterization of GW2, a new QTL that controls rice grain width and weight. Our data show that GW2 encodes a previously unknown RING-type protein with E3 ubiquitin ligase activity, which is known to function in the degradation by the ubiquitin-proteasome pathway. Loss of GW2 function increased cell numbers, resulting in a larger (wider) spikelet hull, and it accelerated the grain milk filling rate, resulting in enhanced grain width, weight and yield. Our results suggest that GW2 negatively regulates cell division by targeting its substrate(s) to proteasomes for regulated proteolysis. The functional characterization of GW2 provides insight into the mechanism of seed development and is a potential tool for improving grain yield in crops.     

Wnt-beta-catenin signaling initiates taste papilla development

Fungiform taste papillae form a regular array on the dorsal tongue. Taste buds arise from papilla epithelium and, unusually for epithelial derivatives, synapse with neurons, release neurotransmitters and generate receptor and action potentials. Despite the importance of taste as one of our five senses, genetic analyses of taste papilla and bud development are lacking. We demonstrate that Wnt-beta-catenin signaling is activated in developing fungiform placodes and taste bud cells. A dominant stabilizing mutation of epithelial beta-catenin causes massive overproduction of enlarged fungiform papillae and taste buds. Likewise, genetic deletion of epithelial beta-catenin or inhibition of Wnt-beta-catenin signaling by ectopic dickkopf1 (Dkk1) blocks initiation of fungiform papilla morphogenesis. Ectopic papillae are innervated in the stabilizing beta-catenin mutant, whereas ectopic Dkk1 causes absence of lingual epithelial innervation. Thus, Wnt-beta-catenin signaling is critical for fungiform papilla and taste bud development. Altered regulation of this pathway may underlie evolutionary changes in taste papilla patterning.     

An Adaptive Multiscale Ensemble Learning Paradigm for Nonstationary and Nonlinear Energy Price Time Series Forecasting

For forecasting nonstationary and nonlinear energy prices time series, a novel adaptive multiscale ensemble learning paradigm incorporating ensemble empirical mode decomposition (EEMD), particle swarm optimization (PSO) and least square support vector machines (LSSVM) with kernel function prototype is developed. Firstly, the extrema symmetry expansion EEMD, which can effectively restrain the mode mixing and end effects, is used to decompose the energy price into simple modes. Secondly, by using the fine‐to‐coarse reconstruction algorithm, the high‐frequency, low‐frequency and trend components are identified. Furthermore, autoregressive integrated moving average is applicable to predicting the high‐frequency components. LSSVM is suitable for forecasting the low‐frequency and trend components. At the same time, a universal kernel function prototype is introduced for making up the drawbacks of single kernel function, which can adaptively select the optimal kernel function type and model parameters according to the specific data using the PSO algorithm. Finally, the prediction results of all the components are aggregated into the forecasting values of energy price time series. The empirical results show that, compared with the popular prediction methods, the proposed method can significantly improve the prediction accuracy of energy prices, with high accuracy both in the level and directional predictions. Copyright © 2016 John Wiley & Sons, Ltd.     

应用精密三角高程测量实现跨河水准的研究

文章从三角高程测量单向观测的高差计算公式入手,分析了三角高程测量的误差来源,推导了跨河水准网中测距三角高程的精度估算公式;在此基础上,得出了减弱各项误差从而提高精度的一些结论。结合目前的自动化全站仪,探讨了精密三角高程测量实现精密跨河水准的可行性和便利性,最后指出了在实施跨河水准测量时应注意的一些事项。