建立“网络统计学”的构想

什么是网络统计学?这是一个仁者见仁、智者见智的问题。本文在他人对网络统计定义的基础上,认为网络统计学是一门新的、发展了的统计学,是关于如何在计算机网络支撑下收集、整理、显示、分析和解释数据以及如何对网络经济现象的数量特征和数量规律加以反映和揭示的方法论科学。探讨了网络统计学的特点,提出了我们对网络统计学的思考。

网络统计学的理论体系探讨

从传播媒介的发展过程和网络经济的出现为背景,阐述了网络统计的产生,并结合统计理论、计算机技术和网络技术,介绍了网络统计学的基本框架.

对《网络统计学》课程建设的探讨

成都信息工程学院统计系是较早尝试性开展《网络统计学》课程教学的教学单位,作者对《网络统计学》课程进行了两学期尝试性教学工作,积累了一定的教学经验的基础上,对该学科建设进行探讨,进一步推动《网络统计学》学科建设。

从信息化角度看《统计学》教学改革

随着社会信息化、网络化的发展,统计数据收集、处理、信息发布等相关理论和方法不断创新。本文提出针对统计信息化过程中出现的新特点、新技术、新方法,把信息技术融入《统计学》课程的教学改革中,培养复合型的统计信息人才。

网络人口统计学的学科构建与实践要务

网络人口统计对于数字经济的发展至关重要。文章建立了网络人口统计学,并从现实需要、学科构建和实践要务几个方面进行论证。网络人口统计学是将网络人口的数量特征和数量关系作为研究对象,利用互联网统计、大数据分析等先进技术,揭示网络空间的网络人口现象及其发展规律的一门科学。网络人口统计学的学科构建由网络人口统计规律的揭示、网络人口统计理论的构建等四大部分组成。它的实践要务在于,做好网络人口总量统计、网络人口结构统计等六个方面。

Holographic alloy positioning design system and holographic network phase diagrams of Au-Cu system

Taking Au?Cu system as an example, three discoveries and two methods were presented. First, a new way for boosting sustainable progress of systematic metal materials science (SMMS) and alloy gene engineering (AGE) is to establish holographic alloy positioning design (HAPD) system, of which the base consists of measurement and calculation center, SMMS center, AGE center, HAPD information center and HAPD cybernation center; Second, the resonance activating-sychro alternating mechanism of atom movement may be divided into the located and oriented diffuse modes; Third, the equilibrium and subequilibrium holographic network phase diagrams are blueprints and operable platform for researchers to discover, design, manufacture and deploy advanced alloys, which are obtained respectively by the equilibrium lever numerical method and cross point numerical method of isothermal Gibbs energy curves. As clicking each network point, the holographic information of three structure levels for the designed alloy may be readily obtained: the phase constitution and fraction, phase arranging structure and properties of organization; the composition, alloy gene arranging structure and properties of each phase and the electronic structures and properties of alloy genes. It will create a new era for network designing advanced alloys.

Impacts of Packet Collisions on Link Throughput in CSMA Wireless Networks

It is known that packet collisions in wireless networks will deteriorate system performance, hence substantial efforts have been made to avoid collision in multi-user access designs. Also, there have been many studies on throughput analysis of CSMA wireless networks. However, for a typical CSMA network in which not all nodes can sense each other, it is still not well investigated how link throughputs are affected by collisions. We note that in practical 802.11-like networks, the time is divided into mini-timeslots and packet collisions are in fact unavoidable. Thus, it is desirable to move forward to explore how collisions in such a network will affect system performance. Based on the collision-free ideal CSMA network(ICN) model, this paper attempts to analyze link throughputs when taking the backoff collisions into account and examine the effect of collisions on link throughputs. Specifically, we propose an Extended Ideal CSMA Network(EICN) model to characterize the collision effects as well as the interactions and dependency among links in the network. Based on EICN, we could directly compute link throughputs and collision probabilities. Simulations show that the EICN model is of high accuracy. Under various network topologies and protocol parameter settings, the computation error of link throughputs using EICN is kept to 4% or below. Interestingly, we find that unlike expected, the effect of collisions on link throughputs in a modest CSMA wireless network is not significant, which enriches our understanding on practical CSMA wireless networks such as Wi-Fi.

Attack Vulnerability of Network with Duplication-Divergence Mechanism

We study the attack vulnerability of network with duplication-divergence mechanism. Numerical results have shown that the duplication-divergence network with larger retention probability a is more robust against target attack relatively. Furthermore, duplication-divergence network is broken down more quickly than its counterpart BA network under target attack. Such result is consistent with the fact of WWW and Internet networks under target attack. So duplication-divergence model is a more realistic one for us to investigate the characteristics of the world wide web in future. We also observe that the exponent γ of degree distribution and average degree are important parameters of networks, reflecting the performance of networks under target attack. Our results are helpful to the research on the security of network.

Adaptive learning with guaranteed stability for discrete-time recurrent neural networks

To avoid unstable learning, a stable adaptive learning algorithm was proposed for discrete-time recurrent neural networks. Unlike the dynamic gradient methods, such as the backpropagation through time and the real time recurrent learning, the weights of the recurrent neural networks were updated online in terms of Lyapunov stability theory in the proposed learning algorithm, so the learning stability was guaranteed. With the inversion of the activation function of the recurrent neural networks, the proposed learning algorithm can be easily implemented for solving varying nonlinear adaptive learning problems and fast convergence of the adaptive learning process can be achieved. Simulation experiments in pattern recognition show that only 5 iterations are needed for the storage of a 15×15 binary image pattern and only 9 iterations are needed for the perfect realization of an analog vector by an equilibrium state with the proposed learning algorithm.

Influences on Generation of White Etching Crack Networks in Rolling Bearings

In rare cases rolling bearings fail by WEC （white etching crack） damage before reaching their calculated rating life, if so called additional loads are applied on the bearing in addition to the normal Hertzian stress （PHz）. A number of additional loads have been identified by means of tests with rolling bearings. These can be small direct currents as a result of electrostatic charge or large alternating currents from inverter-fed drives that unintentionally flow through the bearing. WEC damages can also be initiated by a pure mechanical additional load which is dependent on factors including the bearing kinematics but also on the dynamics of the drive train. The current state of knowledge on this subject is presented and taken as the basis for developing a hypothesis on the WEC damage mechanism. If load situations critical for WEC cannot be avoided, the risk of WEC can be considerably reduced by the selection of suitable materials and coatings as well as, in some cases, of suitable lubricants.

Integrating artificial neural networks and geostatistics for optimum 3D geological block modeling in mineral reserve estimation:A case study

In this research, a method called ANNMG is presented to integrate Artificial Neural Networks and Geostatistics for optimum mineral reserve evaluation. The word ANNMG simply means Artificial Neural Network Model integrated with Geostatiscs, In this procedure, the Artificial Neural Network was trained, tested and validated using assay values obtained from exploratory drillholes. Next, the validated model was used to generalize mineral grades at known and unknown sampled locations inside the drilling region respectively. Finally, the reproduced and generalized assay values were combined and fed to geostatistics in order to develop a geological 3D block model. The regression analysis revealed that the predicted sample grades were in close proximity to the actual sample grades, The generalized grades from the ANNMG show that this process could be used to complement exploration activities thereby reducing drilling requirement. It could also be an effective mineral reserve evaluation method that could oroduce optimum block model for mine design.

The Design of PBL Network Teaching System based on Multi-Agent

With the utilization of computer technology and network technology in building network teaching system approaching perfection, PBL teaching model is gradually applied to network teaching. On the basis of PBL teaching theory, this paper proposes a network teaching system based on PBL via network teaching model, using C/S structure and Java language to develop the prototype model and adding multi-agent application level to C/S structure in system designing in order to meet the requirements of the utilization of PBL method in network teaching. This new system successfully implements the innovative application of a problem-based network teaching.

Simultaneous optimization of transit network and public bicycle station network

The traditional manner to design public transportation system is to sequentially design the transit network and public bicycle network. A new public transportation system design problem that simultaneously considers both bus network design and public bicycle network design is proposed. The chemical reaction optimization(CRO) is designed to solve the problem. A shortcoming of CRO is that, when the two-molecule collisions take place, the molecules are randomly picked from the container.Hence, we improve CRO by employing different mating strategies. The computational results confirm the benefits of the mating strategies. Numerical experiments are conducted on the Sioux-Falls network. A comparison with the traditional sequential modeling framework indicates that the proposed approach has a better performance and is more robust. The practical applicability of the approach is proved by employing a real size network.

Research on Remote Aerobics Network Learning System based on B/S

through the design of teaching aerobics web-based course and application practice, the instructional design process based on B/ S learning are analyzed, and discusses several key problems in the design and teaching. This paper presents the resource based learning aerobics teaching design network course should adapt to the application mode of network teaching and traditional classroom combination; that will provide teaching demonstration, teaching contents for students as well as the function of self testing evaluation and provide the job management, teacher online Q ＆ A, database and knowledge base construction, greatly improving the ＂aerobics＂ teaching efficiency.

Comparative study of College English traditional listening and speaking mode and network listening and speaking teaching mode

Since 1958 the United States Watson research center designed the world＇ s first computer teaching system, the history of computer technology in education has lasted for over 40 years, with the beginning of digitized audio and global network as a symbol of the information age, the rapid development of multimedia network technology＇ s application crosses various fields, like other areas, foreign language teaching also benefit. January 2004, Department of Higher Education issued a ＂College English Curriculum Requirements＂ （Trial）, which clearly states： ＂It should make full use of opportunities of multimedia, network technology development which is brought about by the introduction of new teaching model to improve the original teachers＇ single classroom teaching mode. The new model should be based on modern information technology support, especially network technology, the English teaching towards individualized learning, independent of time and place restrictions learning, active learning direction. ＂

Discussion on the Application of Complex Power Network to Software Engineering

Along with the further development of science and technology, computer hardware and the Intemet are in a rapid development, and information technology has been widely used in all fields so that complex problems are simply solved. Because of the needs for the development, software starts to mutually integrate with complex power network, making the scale of software increase greatly. Such a growing trend of software promotes soft-ware development to go beyond a general understanding and control and thus a complex system is formed. It is necessary to strengthen the research of complex network theory, and this is a new way to help people study the complexity of software systems. In this paper, the development course of complex dynamic network is introduced simply and the use of complex power network in the software engineering is summarized. Hopefully, this paper can help the crossover study of complex power network and software engineering in the future.

基于人工智能的不孕症中医辨证模型的构建与应用

目的:建立基于人工智能的不孕症中医辨证模型,为不孕症中医智能辨证模型的构建与应用提供方法和依据。方法:检索中国期刊全文数据库、万方期刊数据库、中医智库、古今病案云平台,收集关于不孕症的中医名医病案300例,建立不孕症病案中医信息数据库,采用经过超参数调优的随机森林(RF)、支持向量分类(SVC)、K-近邻(KNN)、人工神经网络(ANN)及统计学注意力神经网络模型(SANN)对数据集进行量化分析,建立不孕症辨证模型,采用五折交叉验证对模型进行评价,评价指标包括Accuracy、Precision、Recall、F1。结果:不孕症中医四诊信息为输入变量共86项,输出变量为不孕症中医证型共6项。5种模型的拟合效果较好,Accuracy、Precision、Recall、F1值均在0.77以上;其中SANN模型的准确率、查准率与查全率最高,Accuracy、Precision、Recall、F1分别为0.90、0.90、0.91、0.90,均高于其他算法模型,其参数的中医解释基本符合中医诊断原理。结论:基于SANN算法模型建立的不孕症中医辨证模型具有良好的诊断能力,将人工智能应用于不孕症中医辨证模型的构建与临床应用方法学可行,且具有较高的准确率。

Tsallis Mapping in Growing Complex Networks with Fitness

We introduce Tsallis mapping in Bianconi-Barabgsi （B-B） fitness model of growing networks. This mapping addresses the dynamical behavior of the fitness model within the framework of nonextensive statistics mechanics, which is characterized by a dimensionless nonextensivity parameter q. It is found that this new phenomenological parameter plays an important role in the evolution of networks： the underlying evolving networks may undergo a different phases depending on the q exponents, comparing to the original B-B fitness model, and the corresponding critical transition temperature Tc is also identified.