“网络化”模式在高校共青团基层组织宣传工作中的运用初探

随着网络覆盖面的扩大,广大青年已经开始广泛利用网络新媒体平台获取信息和沟通交流,这为高校共青团基层组织的宣传工作提供了新的平台。文章以西北农林科技大学职业教育与成人教育学院团工委新浪官方微博为例,探讨如何运用新媒体改进和创新高校共青团基层组织宣传工作。

LMI-based approach for global asymptotic stability analysis of continuous BAM neural networks

Studies on the stability of the equilibrium points of continuous bidirectional associative memory (BAM) neural network have yielded many useful results. A novel neural network model called standard neural network model (SNNM) is ad- vanced. By using state affine transformation, the BAM neural networks were converted to SNNMs. Some sufficient conditions for the global asymptotic stability of continuous BAM neural networks were derived from studies on the SNNMs’ stability. These conditions were formulated as easily verifiable linear matrix inequalities (LMIs), whose conservativeness is relatively low. The approach proposed extends the known stability results, and can also be applied to other forms of recurrent neural networks (RNNs).

Dynamic batch selective sampling based on version space analysis

A novel dynamic batch selective sampling algorithm based on version space analysis is presented. In the traditional batch selective sampling, example selection is entirely determined by the existing unreliable classification boundary; meanwhile, within a batch, examples labeled previously fail to provide instructive information for the selection of the rest. As a result, using the examples selected in batch mode for model refinement will jeopardize the classification performance. Based on the duality between feature space and parameter space under the SVM active learning fi：amework, dynamic batch selective sampling is proposed to address the problem. We select a batch of examples dynamically, using the examples labeled previously as guidance for further selection. In this way, the selection of feedback examples is determined by both the existing classification model and the examples labeled previously. Encouraging experimental results demonstrate the effectiveness of the proposed algorithm.

Parallelized Jaccard-Based Learning Method and MapReduce Implementation for Mobile Devices Recognition from Massive Network Data

The ability of accurate and scalable mobile device recognition is critically important for mobile network operators and ISPs to understand their customers' behaviours and enhance their user experience.In this paper,we propose a novel method for mobile device model recognition by using statistical information derived from large amounts of mobile network traffic data.Specifically,we create a Jaccardbased coefficient measure method to identify a proper keyword representing each mobile device model from massive unstructured textual HTTP access logs.To handle the large amount of traffic data generated from large mobile networks,this method is designed as a set of parallel algorithms,and is implemented through the MapReduce framework which is a distributed parallel programming model with proven low-cost and high-efficiency features.Evaluations using real data sets show that our method can accurately recognise mobile client models while meeting the scalability and producer-independency requirements of large mobile network operators.Results show that a 91.5% accuracy rate is achieved for recognising mobile client models from 2 billion records,which is dramatically higher than existing solutions.

A Review on the Optimization of English Teaching Mode Under MOOC and SPOC

With the development of application in the terminal on the web, the online teaching mode has been more and more applied in the various teaching tasks in that the online education is not only fast and convenient but also improving the traditional teaching, among which MOOC and SPOC have played more and more important role. The essay aims at analyzing the optimization of English teaching mode under the conditions of MOOC and SPOC and offers some suggestions accordingly for the modem online education.

Marketing as Innovation Strategy in Non Profit Sector in China： The Network of Influence ＂Guanxi＂

In a globalized world, not only the business market is overlapped but also marketing models take shape within economic systems. While there has been a proliferation in the implementation of marketing in the private sector, this paper provides a useful entry point for the understanding role of marketing within the nonprofit sector focused on China, the second worldwide economic power. A number of senior managers and directors from different Non-Governmental Organizations （NGOs） were interviewed of what they understood marketing to be and how they considered and implemented marketing within organizational strategy. The findings showed that while marketing was identified as an interesting and influential concept, Chinese nonprofit managers generally had a limited understanding of a marketing theory. The article further discusses reasons behind the dynamic based on personalized networks of influence used and the potential implications for nonprofit entities in China, a sector that plays a very noteworthy role in transformative economies.

Multi-criterion system optimization model for urban multimodal traffic network

In this paper,computational models of environmental pollution and energy consumption of urban multimodal traffic network are proposed according to pertinent research and a multi-objective programming model is then developed to formulate optimization problem for such a system.Simultaneously,the main factors,such as travel time,pricing and convenience which influence travelers' choice behaviors are all considered and a combined assignment model is proposed to simulate travelers' mode and route choices.A bi-level programming model,in which the multi-objective optimization model is treated as the upper-level problem and the combined assignment model is processed as the lower-level problem,is then presented to solve multi-criterion system optimization problem for urban multimodal traffic network.The solution algorithms of the proposed models are also presented.Finally,the model and its algorithms are illustrated through a simple numerical example.