Application of extension neural network to safety status pattern recognition of coalmines

In order to accurately and quickly identify the safety status pattern of coalmines,a new safety status pattern recognition method based on the extension neural network (ENN) was proposed,and the design of structure of network,the rationale of recognition algorithm and the performance of proposed method were discussed in detail.The safety status pattern recognition problem of coalmines can be regard as a classification problem whose features are defined in a range,so using the ENN is most appropriate for this problem.The ENN-based recognition method can use a novel extension distance to measure the similarity between the object to be recognized and the class centers.To demonstrate the effectiveness of the proposed method,a real-world application on the geological safety status pattern recognition of coalmines was tested.Comparative experiments with existing method and other traditional ANN-based methods were conducted.The experimental results show that the proposed ENN-based recognition method can identify the safety status pattern of coalmines accurately with shorter learning time and simpler structure.The experimental results also confirm that the proposed method has a better performance in recognition accuracy,generalization ability and fault-tolerant ability,which are very useful in recognizing the safety status pattern in the process of coal production.

陕西渭北东部区新生代伸展构造网络系统对奥灰水的控制作用

本文以新活动论构造观和系统论为指导，建立了渭北东部区新生代伸展构造系统模式，并以岩体结构控制论为基础，系统地讨论了本区构造网络系统对奥陶系灰岩的空间分布、奥陶系灰岩地下水水文地质单元的边界条件、奥灰水单元的补、径、排特征及其富集等方面的控制作用以及宏观指导意义。最后。

传感网中区域覆盖的目标跟测方法

为对随机变化目标进行跟踪和监测,提出区域覆盖的无线传感器网络监测方法。通过建立哨兵节点监测事件的出现,在事件发生区域采用伸展等边三角形进行伸展,形成对目标活动范围的完全覆盖;伸展等边三角形内部节点和顶点节点构成二级网络,实现事件监测和数据传输;根据事件边界的伸展等边三角形影响面积变化,采用提前一步监测和滞后一步取消监测对事件的发展变化做出反应。实验结果表明,该算法有利于随机变化事件的监测和能耗的均衡化,延长网络生存期。

农村进城务工女性社会网络构建分析——以北京地区家政服务员为例

改革开放以来,大量农民依靠社会网络进城务工,但以家政服务员为代表的农村进城务工女性在社会网络构建方面相对处于不利地位。虽然农村进城务工女性多渠道努力构建社会网络,但基础依然是乡土社会网络,在社会变迁中出现内生性关系网络和外延性关系网络交替并行的融合状态。她们的社会网络以初级群体为主,选择有限。因此,还需要从外部环境和内部条件等方面优化农村进城务工女性的社会网络构建。

处理不确定性的外延方法和内涵方法的比较

Extensional approach vs. intensional approach is taxonomy of tackling uncertainty. In this paper,we compare these two approaches. Extensional systems are computational convenient but semantically sloppy,while intensional systems are semantically clear but computational clumsy. The trade-off between sematic clarity and computational efficiency has been the main issue of concern.

A fault diagnosis model based on weighted extension neural network for turbo-generator sets on small samples with noise

In data-driven fault diagnosis for turbo-generator sets,the fault samples are usually expensive to obtain,and inevitably with noise,which will both lead to an unsatisfying identification performance of diagnosis models.To address these issues,this paper proposes a fault diagnosis model for turbo-generator sets based on Weighted Extension Neural Network(W-ENN).WENN is a novel neural network which has three types of connection weights and an improved correlation function.The performance of the proposed model is validated against Extension Neural Network(ENN),Support Vector Machine(SVM),Relevance Vector Machine(RVM)and Extreme Learning Machine(ELM)based models.The results indicate that,on noisy small sample sets,the proposed model is superior to the other models in terms of higher identification accuracy with fewer samples and strong noise-tolerant ability.The findings of this study may serve as a powerful fault diagnosis model for turbo-generator sets on noisy small sample sets.

新能源集中接入配电网可拓层次评估仿真

针对配电网新能源的影响指标分析中,采用的多指标评估中出现指标不相容现象,导致评估精度不高的问题,设计了一种基于可拓层次分析的新能源集中接入配电网综合评估方法。根据标度法建立可拓区间判断矩阵,利用层次分析法对其求解,确定综合评估权重值。通过新能源接入配电网的设备运行、电能质量、可靠性、经济性和环保指标五个方面的分析,设立新能源集中接入配电网的整体评判标准。为验证上述评估方法的可行性与有效性,进行仿真,结果可知所提方法的评估准确率较多,指标评估准确率高19.1%,符合实际应用标准。

Multi Boost with ENN-based ensemble fault diagnosis method and its application in complicated chemical process

Fault diagnosis plays an important role in complicated industrial process.It is a challenging task to detect,identify and locate faults quickly and accurately for large-scale process system.To solve the problem,a novel Multi Boost-based integrated ENN(extension neural network) fault diagnosis method is proposed.Fault data of complicated chemical process have some difficult-to-handle characteristics,such as high-dimension,non-linear and non-Gaussian distribution,so we use margin discriminant projection(MDP) algorithm to reduce dimensions and extract main features.Then,the affinity propagation(AP) clustering method is used to select core data and boundary data as training samples to reduce memory consumption and shorten learning time.Afterwards,an integrated ENN classifier based on Multi Boost strategy is constructed to identify fault types.The artificial data sets are tested to verify the effectiveness of the proposed method and make a detailed sensitivity analysis for the key parameters.Finally,a real industrial system—Tennessee Eastman(TE) process is employed to evaluate the performance of the proposed method.And the results show that the proposed method is efficient and capable to diagnose various types of faults in complicated chemical process.

基于符号学的社交网络研究及产品社交化思考

目的对社交网络符号进行研究分析,为产品社交化提供思考方向。方法以较为成熟的社交网络为研究对象,立足于符号学理论,从符号的语意构成、外延层面与内涵层面进行归纳与符号意义解析。结果从符号分析中得知认知心理、情感化、人际关系和社会文化意义是社交网络的构成要素。结论从社交网络的构成要素中总结产品社交化的必要条件,即在系统模型与用户认知模型相匹配的基础上,引起用户的积极情感,营造参与感;形成具有独自特色的人际关系圈;立足本地文化,探索本地化社交模式。

球团矿厂计算机集散控制系统的开发研究

根据该厂生产实际,在winodws系统下以VisualBasic为开发工具,自主完成了计算机集散控制系统的设计并实施。

Aggregate Engineering in Supramolecular Polymers via Extensive Non-covalent Networks

Aggregate engineering of non-covalent networks endows supramolecular polymers with thermo-mechanical versatility,stimuli-responsive phase transitions and intrinsic damage-healing capabilities.However,most non-covalent networks are vulnerable at elevated temperatures,which suppresses the robustness of supramolecular polymers.Herein,ureidocytosine(UCy)motifs,which are capable of forming extensive non-covalent networks and thus robust molecular aggregates via multivalent hydrogen bonds and aromatic stackings,are proposed to enable precise programming of the thermo-mechanical versatility.Molecular simulations reveal that the enthalpic contributions from the UCy aggregates play dominant roles to compensate the entropic loss from the redistributions of polymeric spacers and stabilize the non-covalent networks over wide temperature windows.Such aggregate-level strategy offers prospects for applications which require thermo-mechanical versatility of supramolecular polymers,such as 3D printing,microfabrication and damage-healing coating.

非缠结缔合高分子的熔体拉伸性能

缔合高分子是指链间具有吸引作用(如离子键、氢键作用)的高分子.理解缔合高分子的熔体拉伸性能对于缔合高分子材料的开发和加工成型具有重要的指导意义.本综述聚焦本课题组在非缠结缔合高分子熔体拉伸行为研究中的最新进展,对熔体拉伸行为进行分类(如脆性行为、韧性行为和超韧性行为),并进一步总结了熔体拉伸行为对于缔合程度、缔合强度和缔合种类的依赖性.研究表明,脆韧行为不仅取决于拉伸流场下缔合网络结构的破坏,而且取决于网络结构破坏后的重整行为.

扩展的行动者网络——解决科林格里奇困境的新路径

科林格里奇困境是技术的社会控制困境。科林格里奇本人试图通过使技术具可改正性、可控制性和可选择性,通过改变技术决策来解决该困境。然而,该外在于技术的建构网络的解决方案面临着控制者和知识等方面的问题,难以有效地预测和调整技术。扩展的行动者网络试图将对技术的控制内化于技术建构的行动者网络中,将对技术进行控制的时间覆盖技术建构及其迭代建构的全部过程,通过不断扩展异质的行动者,扩展嵌入、非嵌入的编码以及意会知识,在扩展的技术建构中实现对技术的有效控制。

EAP协议及其应用

认证服务是无线局域网的一种最重要的安全服务。介绍了可扩展认证协议,分析研究了它的类型及应用。

家政服务员外延性社会支持网络构建研究——基于对长春市住家型家政服务员的研究

文章在社会网络概念的基础上,将家政服务员的社会支持网络分为内生性社会支持网络和外延性社会支持网络,通过深度访谈、参与式观察获取家政服务员社会支持现状资料,分析了家政服务员因社会支持网络缺失所带来的不良影响,提出了外延性社会支持网络构建的策略。

传统数据中心网络向AD-DC平滑演进技术分析

本文阐述了传统数据中心网络如何向AD-DC平滑演进的三种场景,每种场景对应的迁移方案,以及通过一个示例描述整个迁移过程。随着云计算、大数据、移动互联网的兴起,数据中心流量与日俱增,业务上线节奏加快,要求数据中心网络做出快速响应,传统数据中心网络向AD-DC演进将是必然趋势,AD-DC解决方案满足数字化转型中不断扩张的网络需求,不断迭代创新为客户提供智能融合、安全可靠、先进成熟、开放包容的全栈数据中心网络解决方案,助力更多行业客户的数字化转型实践。