转变运维模式 迎接移动互联网新挑战

本文分析了移动互联网的网络特征和影响,提出移动互联网的资源占用与网络质量同样重要,一旦资源紧缺,质量将直线下滑。互联网时代只面向网络的优化已不能解决网络问题,而传统网络KPI指标已不能表征用户的业务使用感知。为此需要维护部门改变传统的运维理念,全面对接市场发展。     

动态特征选择算法对恶意行为检测的优化研究

针对互联网中存在的恶意行为,特别是社交网络应用中的在线恶意行为,通常使用基于用户多维特征的聚类分析算法进行检测。提出一种动态特征选择算法(DFSA),使用具有特征加权熵的模糊C均值目标函数,首先为参数构建一个学习模式,自动计算每个特征权重,并剔除权重小于阈值的特征,动态选择重要的特征,迭代地更新隶属函数、簇中心和特征权重直到最优化为止,最后识别出具有高精度的恶意用户行为簇。仿真结果表明,对比SDAFS算法、ELAFC算法和NADMB算法,DFSA算法在Rand指数、Jaccard指数和归一化互信息量3个主要性能指标上均有改善。     

智能手机操作系统群雄并起

近年来,随着全球移动数据业务使用量的迅猛增长,智能手机销量不断攀升。代表不同市场阵营的智能手机操作系统竞争日益激烈。笔者在回顾市场上主流操作系统形成现今市场地位的历史原因同时,对其未来的发展机遇逐一作了分析,在此基础上,对未来智能手机操作系统的市场格局做出了预测。     

Decision making on power customer satisfaction and enterprise profitability analysis using the Analytic Hierarchy Process

The purpose of this paper is to investigate the customer satisfaction of power users using the Analytic Hierarchy Process (AHP) method. The objective is to safeguard the interests of electricity consumers and to increase the profitability of the energy distributer. Compared with previous work based on customer questionnaires describing the level of satisfaction, and where the solution is judged to be random due to the low significance of the studied sample, this paper develops a novel strategy. It is based on a global and transparent process regarding the reliability and economic criteria associated with alternatives, highlighting technical and organisational measures taken by the enterprise. The importance of reliability and economic criteria to the alternatives is processed using reliability indices analysis and cost benefit analysis methods. To analyse the customer's reactions to the decisions taken by the system's manager, and to validate the obtained results using the AHP method, we introduce economic criteria often used in the case of an uncertain future. The obtained results indicate the advantage of investment to improve customer satisfaction and enterprise profitability. It is also shown that reliability criteria are significant in the performance of a business and are an important asset for the justification of new projects.     

Privacy theory in practice: designing a user interface for managing location privacy on mobile devices

ABSTRACT

Disclosing the current location of a person can seriously affect their privacy, but many apps request location information to provide location-based services. Simultaneously, these apps provide only crude controls for location privacy settings (sharing all or nothing). There is an ongoing discussion about rights of users regarding their location privacy (e.g. in the context of the General Data Protection Regulation – GDPR). GDPR requires data collectors to notify users about data collection and to provide them with opt-out options. To address these requirements, we propose a set of user interface (UI) controls for fine-grained management of location privacy settings based on privacy theory (Westin), privacy by design principles and general UI design principles. The UI notifies users about the state of location data sharing and provides controls for adjusting location sharing preferences. It addresses three key issues: whom to share location with, when to share it, and where to share it. Results of a user study (N=23) indicate that (1) the proposed interface led to a greater sense of control, that (2) it was usable and well received, and that (3) participants were keen on using it in real life. Our findings can inform the development of interfaces to manage location privacy.     

Group-based user pairing for virtual MIMO in LTE

A user pairing method is proposed to improve the throughput gain of virtual multiple input multiple output (virtual MIMO) in 3G long-term evolution (LTE).The approach taken in this study separated the user pairing into four steps 1) the users are divided into two groups according to their signal-to-noise ratio (SNR), and different user pairing metrics are proposed for each group; 2) the scheduler chooses a user for transmitting by a given rule; 3) the scheduler searches the pairing candidate for the selected user in each group; 4) the scheduler chooses the final pairing user from the co-group and crossover-group candidates by using a marginal utility function, to balance fairness and efficiency.The method can improve the throughput of users with high SNR, and guarantee fairness for users with low SNR, so it can be used in 3G LTE systems.The article provides both theoretical analysis and simulation results to support the idea.     

Analysis of User＇s Weight in Microblog Network Based on User Influence and Active Degree

Based on user’s in-degree distribution, traditional ranking algorithms of user’s weight usually neglect the considerations of the differences among user’s followers and the features of user’s tweets. In order to analyze the factors which impact on user’s weight, under the analysis of the data collected from SINA Microblog network, this paper discovers that user influence and active degrees are the dominant factors for this issue. The proposed algorithm evaluates user influence by user’s follower number, the influence of user’s followers and the reciprocity between users. User’s active degree is modeled by user’s participation and the quality of user’s tweets. The models are tested by different data groups to confirm the parameters for the final calculation. Eventually, this paper compares the computational results with the user’s ranking order given by the SINA official application. The performance of this algorithm presents a stronger stability on the fluctuant range of the value of user’s weight.     

Multiple material domain‐based computational tools for ease assessment of modal parameter in photonic crystal fibers

We report here the development of two computational tools PCFPS (Photonic Crystal Fiber Parameter Study) and PCFPA (Photonic Crystal Fiber Parameter Analysis), equipped with graphical user interface (GUI) for modeling of photonic crystal fiber. The tools are based on different structural parameters, and they provide characteristic analysis of the modal parameters from the structural parameters. The main feature of PCFPS is that it enables the user to find out the values of each defining modal parameter that has an immense contribution towards the manufacture of photonic crystal fiber. Additionally, PCFPA allows the user to observe the variation in the modal parameters with respect to the changes in structural parameters (such as d, Λ, d/Λ, and λ/>Λ). Besides their ease of use, these two schemes have high computational precision and adaptability, giving a novel platform to optical engineers to modulate the microstructured fibers according to their requirement.