基于再生核RBF神经网络的瓦斯突出预测系统

该设计的瓦斯突出预测系统由数据采集,数据传输和数据处理三部分组成;首先使用层次分析法和MATLAB选择出了瓦斯突出影响因素,然后使用TMS320C6713和PCI总线技术设计了数据采集和传输系统,同时采用再生核算法来进行RBF神经网络的训练,通过W12[a,b]空间插值逼近的方法,把RBF神经网络的训练转换为解线性方程组,最后使用LABVIEW,MATLAB和CCS混合编程实现了再生核RBF神经网络的训练和仿真以及TMS320C6713软件开发,准确地预测出了瓦斯突出。

一种二次对角再生神经网络及其在舰炮控制中的应用

提出一种二次对角再生神经网络(QDRNN),其隐含层由二次再生神经元组成,QDRNN是动态映射。在舰炮控制中使用两个QDRNN,一个为二次对角再生神经辨识器(QDRNI),另一个为二次对角再生神经控制器(QDRNC)。QDRNI为QDRNC提供舰炮液压伺服系统的灵敏度,使用动态反传算法训练QDRNI和QDRNC。由于二次再生性,QDRNN能捕捉液压伺服系统的动态形为。试验结果表明QDRNN的控制精度高且自适应能力强。

三域社会再生产网络与新型国家发展规划体系

市场经济作为在长期的人类合作博弈中不断扩展的自然秩序 ,其基本原则和运作规则不仅适用于物质生产领域 ,而且适用于精神生产领域和人类自身生产领域。从理论合理性和实际操作性考虑 ,国家中长期发展规划体系必须按照“三域社会再生产网络”的全新思路重新整合归类。希望这对于人们准确把握新时期国家中长期发展规划的实质意义和内容体系有所启迪。

网络学习资源的建设与再生研究

网络学习资源的建设与再生对网络学习起着重要的推动作用,结合网络学习资源理论、长尾理论与需求层次理论,分析网络学习资源的变化的过程、特点以及影响学习资源建设的因素,建立量与质的网络学习资源建设与再生模型,从学习者动机角度分析资源共享者的心理变化以及该变化对资源再生的影响,对网络学习资源的建设与再生提出了几点意见。

赣州市供销社系统再生资源网络体系建设

为充分发挥供销社服务"三农"的作用,赣州市供销社加快推进供销社系统再生资源网络体系建设步伐,对赣州市供销社系统再生资源网络体系建设的基本情况、主要工作及存在的问题进行论述,并提出主要对策及建议。

大脑组织再生可代偿多发性硬化所致的损伤

近期出版的《美国医学遗传学杂志》上的一篇报道描述了患胎儿丙戊酸综合征的2个同胞病例以及对他们进行长期随访的情况。该报道还就胎儿在宫内暴露于丙戊酸的最终表现型进行了评论,其中最多见的是肌肉骨骼的异常。

“空间基因的转译呈现”——长沙后湖艺术村22号改造设计

文章对湖南长沙后湖艺术村的更新原因及动力进行分析,探讨在互联网时代和后城市化时代城中村的核心价值以及如何展开建筑更新实践。设计以空间基因为视角,把场所营造作为切入点,分析实体空间与虚拟空间的改造策略;进一步提出适应性功能改造、转译空间基因、聚落织补、场所建构的设计手法。最终,改造以空间基因的转译巧妙回应了建筑的拆与留、图景延续以及网络再生的多重诉求。建筑从原有存量转型为村落的延续和再生,自然地融入环境并呈现出极致的场域空间与精神意义。

基于信道统计特性的中继选择算法

该文提出了一种在非再生协作网络中,基于信道统计特性的最优中继选择方法。首先在等功率条件下,根据信道统计特性,定义一个等效信道增益的参数,该参数反映了中继节点在协作过程中两个阶段的信道特性。然后提出一种基于该参数的降序排列的中继选择方法。该方法在不同的信噪比范围内,选择不同的节点集合,使得系统的吞吐率中断概率最小。分析表明该选择方法的分集增益阶数能达到N+1,N为中继节点数目。仿真结果表明这种中继选择算法的中断概率性能优于其他算法。该方法进一步与功率分配相结合,构成了一种低复杂度的次优的中继选择方法。仿真结果表明这种次优算法能够取得和穷举算法相似的性能。

一种多中继协作系统中的功率分配算法

提出了多中继无线通信系统的模型,研究其源节点和各中继节点间功率分配对系统容量的影响,在总功率一定的情况下,探讨了以容量最大化为准则的功率分配算法。对采用非再生协作中继方式的多中继协作通信系统进行了容量分析,并提出了一种低复杂度的最优功率分配算法(Optimum Power Allocation,OPA)。仿真结果表明,该算法相对于平均功率分配算法(Average Power Allocation,APA),系统容量得到了显著提高,在信道条件差的情况下,性能提高更明显。

A stepwise optimal design of water network

In order to take full advantage of regeneration process to reduce fresh water consumption and avoid the accumulation of trace contaminants, regeneration reuse and regeneration recycle should be distinctive. A stepwise optimal design for water network is developed to simplify solution procedures for the formulated MINLP problem. In this paper, a feasible water reuse network framework is generated. Some heuristic rules from water reuse network are used to guide the placement of regeneration process. Then the outlet stream of regeneration process is considered as new water source. Regeneration reuse network structure is obtained through an iterative optimal procedure by taking the insights from reuse water network structure. Furthermore, regeneration recycle is only utilized to eliminate fresh water usage for processes in which regeneration reuse is impossible. Compared with the results obtained by relevant researches for the same example, the present method not only provides an appropriate regeneration reuse water network with minimum fresh water and regenerated water flow rate but also suggests a water network involving regeneration recycle with minimum recycle water flow rate. The design can utilize reuse, regeneration reuse and regeneration recycle step by step with minor water network structure change to achieve better flexibility. It can satisfy different demands for new plants and modernization of existing plants.

Device Design and Characteristics for SOA-basedAll Optical Signal 2R Regeneration

A new scheme based on SOA-MZI for all-optical 2R regeneration is proposed. The characteristics of gain and switching window of this device are investigated in detail. Numerical simulation results indicate that the nonlinear gain compression, the time delay between the input optical signal and the width of the optical pulse are essential parameters for a good performance of all-optical 2R regeneration.

煤矿安全事故预警管理系统研究

作为重要能源之一,煤炭在我国国民经济发展中占据着十分重要的地位,为确保工业的健康有序发展奠定了坚实的基础,同时也是实现新时期可持续发展战略目标的重要保障。我国的煤炭消费量较高,约占能源消费总量的3/4。为保证煤炭产业健康发展,必须确保矿井安全。文章主要对矿井安全系统中的煤与瓦斯突出、地下煤层重构及地表沉陷等方面的突变、再生核神经网络以及支持向量机等基本原理加以介绍。

Minimization of the Flowrate of Fresh Water and Corresponding Regenerated Water in Water-using System with Regeneration Reuse

A sequential three-step programming method is proposed for determining the minimum flowrate of fresh water and corresponding regenerated water in water-using system of single contaminant with regeneration reuse. In step 1, a programming with the objective of min fws is used to determine the minimum flowrate of fresh water, in which the mathematical representation is a mixed integer nonlinear programming (MINLP1). Then under the same constraints with step 1, a programming with the objective of min freg in step 2 and a programming with the objective of min Cr in step 3 are subsequently used to determine the minimum flowrate of regenerated water and the minimum inlet concentration to regeneration process corresponding to the minimum flowrate of fresh water based on step 1. The method is easy to apply because we only need to change the objective function but keep the constraints constant to go along the following steps after step 1. In addition, the relationship between the fresh water flowrate required, fws and inlet concentration to regeneration process, Cr, is investigated. It is found that there exist three relationships between fws and Cr, which indicate three possibilities for C\>: below the pinch, above the pinch or at the pinch. Therefore, a new conclusion is drawn, which differs from that 'regeneration of water at pinch minimizes fresh water flowrate' derived in literature and indicates that in some cases, regeneration at other point also minimizes fresh water flowrate.

Preliminary Study for the Implementation of ＂Wave Dragon＂ on Isolated Spanish Networks with Subtropical Weather

Despite Spain is a well-known worldwide developer of solar and wind energy, nowadays the wave energy is presented as an interesting alternative. Although depending on wind, marine energetic stability is higher than the one depending on air masses. For this reason, the use on isolated networks would bring a great benefit, as they have less perturbation than the other mentioned energies In addition to this, the subtropical weather is famous for its climatic stability and the lack of extreme conditions. For this paper, firstly, an initial analysis was carried out, comparing the most important wave converters in developing at the moment, in which the ＂Wave Dragon＂ device was chosen as the most promising. Secondly, the Gran Canaria＇s wave potential was studied using a numeric model based on data obtained from ＂Wana＂ points. Finally, the feasibility of implementing the ＂Wave Dragon＂ device in Gran Canaria was tested using simulations that were based in the previously obtained data, remarking the protection of the system against instabilities in the generation of renewable energies.

Germany＇s Energy Transition and the European Electricity Market： Mutually Beneficial？

Germany＇s energy system is in transition towards less nuclear, lower carbon emissions and more renewables. Notwithstanding widespread neglect of its European dimension, this Energiewende will further exacerbate current network fluctuations due to the significant increase in wind and solar power. Key data from Denmark show that this transition will soon bring the German national power system to its limits for absorbing the resulting intermittency, and increase the need for more cross-border power transfers. Yet network analysis of import/export data shows that Germany＇s position in the European power system is contrary to the Danish case. The need for a European solution for Germany＇s energy transition will therefore soon become evident. In order to establish the necessary infrastructure, the Energiewende needs hence to be guided by an economic approach designed to prevent further fractures in the Internal Electricity Market. Constructive negotiations with neighbouring countries on market designs and price signals will be important preconditions. The article emphasizes the still neglected European paradox of Germany＇s energy transition and presents working examples and possible solutions to uphold electricity supply in Europe＇s power house.

Protective effects of Fufang Ejiao Jiang against aplastic anemia assessed by network pharmacology and metabolomics strategy

Objective To elucidate the mechanisms underlying the therapeutic effects of Fufang Ejiao Jiang(复方阿胶浆,FFEJJ)on aplastic anemia(AA)using integrated network pharmacology and serum metabolomics.Methods Traditional Chinese Medicine Systems Pharmacology(TCMSP),Pubmed,integrative pharmacology-based research platform of traditional Chinese medicine(TCMIP),and Bioinformatics Analysis Tool for Molecular mech ANism of Traditional Chinese Medicine(BATMAN-TCM)were used to identify the constituents and putative targets of FFEJJ.Gene Cards and DisGeNET databases were used to identify AA-associated targets.We constructed a herb-component-target network and analyzed the protein-protein interaction(PPI)network.Potential mechanisms were determined using Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analyses.In addition,an AA model was established using acetylphenylhydrazine(APH)and cetylphenylhydrazine(CTX).Ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry(UPLC-QTOF/MS)-based serum metabolomics was applied to screen potential metabolites and the related pathways associated with AA and the potential anti-anemic effects of FFEJJ.Results A total of 30 active components of FFEJJ and 24 targets were related to AA.PPI network analysis showed that VEGFA,AKT1,IL-6,CASP3,and ICAM1 were key nodes overlapping with proteins known to be related to AA.KEGG pathway enrichment analysis revealed that the presumed targets of FFEJJ were mainly associated with pathways linked to the promotion of hematopoiesis and improvement of the hematopoietic microenvironment.A total of 423 metabolite biomarkers were identified between the control and AA models,which are involved in the development of AA.In contrast,FFEJJ reversed the 79 differential metabolites altered by AA.Pathway analysis suggested that the synergistic effects of FFEJJ were mainly enriched in 24 metabolic pathways.Among them,sphingolipid metabolism,glycerophospholipid metabolism,and arachidonic acid metabolism were related to promoting hematopoiesis and improving the hematopoietic microenvironment,which partially conforms with network pharmacology.The interaction network formed by three key differential metabolites,including hydroxy-eicosatetraenoic acid(HETE),sphingosine 1-phosphate(S1 P),and lysophosphatidylcholine(lyso PC),and three predicted network targets(VEGFA,CASP3,and ICAM1)may be the potential mechanism underlying the anti-AA action of the multi-component of FFEJJ.Conclusion FFEJJ could be an alternative treatment option for AA.It acts by promoting hematopoiesis and improving the hematopoietic microenvironment.Network pharmacology-integrated metabolomics makes it possible to analyze TCMs from a systems perspective and at the molecular level.

A Practical Approach Based on Equal Area Criteria for Stability Analysis of Weak Networks with Wind Generation Penetration

The performance of DFIG-based wind generation systems that interconnected to solid networks is well understood and prevalent in Europe and North America. However, the application of these renewable generating stations to weak network has been examined in very limited occasions. Weak networks have a range of limitations from system capacities to CFCT restrictions which would need to be well understood prior to wind energy integration. Of particular interest would be how much wind generation could be integrated into a weak network prior to increasing voltage and frequency stability issues brought about by penetration issues. This paper introduces a simple and practical approach based on the equal area criteria to investigate the stability of weak networks. Simulation results that are presented to show the proposed approach is a viable preliminary assessment tool to determine system stability on weak networks with wind power penetration.

数学方法在安全预警系统中的应用

利用矿区测井数据,基于再生核理论,构造了再生核神经网络,并将再生核神经网络的计算问题转化为求解线性方程组的问题.利用一种改进的中心线法重构采煤工作面,这种方法重构的曲面是连续的,与实际地质情况相符合,为地质情况的综合解释提供了新的依据.

SMAD7 and SERPINE1 as novel dynamic network biomarkers detect and regulate the tipping point of TGF-beta induced EMT

Epithelial–mesenchymal transition(EMT) is a complex nonlinear biological process that plays essential roles in fundamental biological processes such as embryogenesis, wounding healing, tissue regeneration,and cancer metastasis. A hallmark of EMT is the switch-like behavior during state transition, which is characteristic of phase transitions. Hence, detecting the tipping point just before mesenchymal state transition is critical for understanding molecular mechanism of EMT. Through dynamic network biomarkers(DNB) model, a DNB group with 37 genes was identified which can provide the early-warning signals of EMT. Particularly, we found that two DNB genes, i.e., SMAD7 and SERPINE1 promoted EMT by switching their regulatory network which was further validated by biological experiments. Survival analyses revealed that SMAD7 and SERPINE1 as DNB genes further acted as prognostic biomarkers for lung adenocarcinoma.