制备高纯碱式碳酸镁和氧化镁的热解及煅烧条件

以内蒙古产白云石为原料,通过加入有机添加剂而改进的碳化法制得精制重镁水,在不同温度下热解得到高纯碱式碳酸镁,进而于不同温度、不同时间下煅烧得到高纯氧化镁。研究了热解温度对高纯碱式碳酸镁纯度、物相和形貌的影响;以及煅烧温度和时间的选择及其对高纯氧化镁物相和形貌的影响。结果表明,重镁水热解温度为95~100℃;热解温度70℃时,碱式碳酸镁物相为4MgCO3·Mg(OH)2·4H2O;随着热解温度的升高,碱式碳酸镁晶体形貌从板条状逐渐转变为球状。     

漫谈北欧设计

在北欧严酷的自然环境下,那里的设计师以对大自然的崇敬之心,对生活的无限热爱,抱着设计美好的生活的淳朴理念,创造出在全世界独树一帜的设计风格。这些在斯堪迪纳维亚温暖、明亮的阳光照耀下散发着森林、湖泊清新气息的,自然、舒适、精致、优雅的设计作品令世人刮目,为之倾倒,在全世界顶尖设计人才激烈竞争中,脱颖而出。产生了像艾里尔·萨里宁(Eliel Saarinen)和阿尔瓦·阿图(AlvarAalto)这样的世界顶级设计大师,并成为世界现代设计的奠基人之一。北欧的成功经验对我们有着重要的参考价值和借鉴意义,对北欧设计的深入研究,将为我们提供一个极有价值的样本。     

应用ANTLR实现过程式语言操作语义的动态演示

介绍了一个面向过程语言的文法特点,应用ANTLR实现了该语言操作语义的动态演示,系统可辅助教师进行课堂教学,为学生自主学习提供良好的支撑环境,从而用形象的图形界面为学生搭起通向掌握抽象思维方法的桥梁。     

Efficient computation of distance labeling for decremental updates in large dynamic graphs

Since today’s real-world graphs, such as social network graphs, are evolving all the time, it is of great importance to perform graph computations and analysis in these dynamic graphs. Due to the fact that many applications such as social network link analysis with the existence of inactive users need to handle failed links or nodes, decremental computation and maintenance for graphs is considered a challenging problem. Shortest path computation is one of the most fundamental operations for managing and analyzing large graphs. A number of indexing methods have been proposed to answer distance queries in static graphs. Unfortunately, there is little work on answering such queries for dynamic graphs. In this paper, we focus on the problem of computing the shortest path distance in dynamic graphs, particularly on decremental updates (i.e., edge deletions). We propose maintenance algorithms based on distance labeling, which can handle decremental updates efficiently. By exploiting properties of distance labeling in original graphs, we are able to efficiently maintain distance labeling for new graphs. We experimentally evaluate our algorithms using eleven real-world large graphs and confirm the effectiveness and efficiency of our approach. More specifically, our method can speed up index re-computation by up to an order of magnitude compared with the state-of-the-art method, Pruned Landmark Labeling (PLL).     

Integrating spectral indices with environmental parameters for estimating heavy metal concentrations in rice using a dynamic fuzzy neural-network model

A generalized dynamic fuzzy neural network (GDFNN) was created to estimate heavy metal concentrations in rice by integrating spectral indices and environmental parameters. Hyperspectral data, environmental parameters, and heavy metal content were collected from field experiments with different levels of heavy metal pollution (Cu and Cd). Input variables used in the GDFNN model were derived from 10 variables acquired by gray relational analysis. The assessment models for Cd and Cu concentration employed five and six input variables, respectively. The results showed that the GDFNN for estimating Cu and Cd concentrations in rice performed well at prediction with a compact network structure using the training, validation, and testing sets (for Cu, fuzzy rules=9, R² greater than 0.75, and RMSE less than 2.5; for Cd, fuzzy rules=9, R² greater than 0.75, and RMSE less than 1.0). The final GDFNN model was then compared with a back-propagation (BP) neural network model, adaptive-network-based fuzzy interference systems (ANFIS), and a regression model. The accuracies of GDFNN model prediction were usually slightly better than those of the other three models. This demonstrates that the GDFNN model is more suitable for predicting heavy metal concentrations in rice.     

Design of a fault diagnosis scheme for a class of singular nonlinear systems

A new fault detection and diagnosis approach is developed in this paper for a class of singular nonlinear systems via the use of adaptive updating rules. Both detection and diagnostic observers are established, where Lyapunov stability theory is used to obtain the required adaptive tuning rules for the estimation of the process faults. This has led to stable observation error systems for both fault detection and diagnosis. A simulated numerical example is included to demonstrate the use of the proposed approach and encouraging results have been obtained.     

对邮件过滤技术发展现状的比较与分析

对自学习的过滤技术进行比较和分析,包括已经商品化的方法和目前还处于理论研究阶段的方法,尤其介绍基于机器学习的过滤技术的发展现状,重点研究该领域内的一些新兴过滤技术.在综合比较了一系列的过滤技术的优缺点之后,分析结果表明基于规则的方法和贝叶斯方法是最有潜力的过滤技术.     

Optimization of media processing workflows with adaptive operator behaviors

In this paper, we present the ARIA media processing workflow architecture that processes, filters, and fuses sensory inputs and actuates responses in real-time. The components of the architecture are programmable and adaptable; i.e. the delay, size, and quality/precision characteristics of the individual operators can be controlled via a number of parameters. Each data object processed by qStream components is subject to transformations based on the parameter values. For instance, the quality of an output data object and the corresponding processing delay and resource usage depend on the values assigned to parameters of the operators in the object flow path. In Candan, Peng, Ryu, Chatha, Mayer (Efficient stream routing in quality- and resource-adaptive flow architectures. In: Workshop on multimedia information systems, 2004), we introduced a class of flow optimization problems that promote creation and delivery of small delay or small resource-usage objects to the actuators in single-sensor, single-actuator workflows. In this paper, we extend our attention to multi-sensor media processing workflow scenarios. The algorithms we present take into account the implicit dependencies between various system parameters, such as resource consumption and object sizes. We experimentally show the effectiveness and efficiency of the algorithms.

安阳市地下水应急供水水源评估研究

以安阳市平原区为例,根据水均衡原理,利用当年汛期末浅层地下水位埋深和汛期降雨量以及汛期前地下水补给量等信息,建立安阳市平原区基于数值模拟模型的枯季地下水可开采量（可供水量）实时预报模型。研究结果可为区域地下水水源评估提供参考。     

算子值鞅变换的凸Φ不等式及其应用(英文)

建立了算子值鞅变换的凸Φ不等式,并且通过算子值鞅变换进一步研究了极大算子和均方算子的性质,讨论了鞅在其中取值的Banach空间的几何性质.