按需轮循的蓝牙微微网调度算法与性能评估

提出了一种低时延、高信道利用率与公平性好的按需轮循的蓝牙微微网调度算法.首先通过速率估计过程计算出上行链路分组到达率的估计值,然后在主调度过程中分别计算各链路对自上次轮循时刻到当前时刻的分组到达数量的估计值与等待时间,根据提出的动态轮循选择规则选出优先度最高的链路对进行轮循,再根据自适应轮循间隙规则计算出下次轮循应该进行的时间.分别在混合、下行与上行三种传输模型的仿真中进行了与其他经典算法的性能比较.结果表明:算法在前两种传输模型中具有最佳的整体性能,尤其是时延分别降低了24.1%与41.4%以上,在第三种传输模型中也具有较佳的整体性能.该算法效率高、实现复杂度低,可应用于蓝牙与其他无线网络.     

中国特色社会主义公平正义的实现路径研究

公平正义是人类社会文明进步的重要标志,也是中国特色社会主义的内在要求。目前,深入掌握公平正义的内涵及实质;借鉴中国传统文化、西方文化以及马克思主义中的正义理论的优秀成果;立足我国实际,不断全面深化改革,寻求中国特色社会主义公平正义的实现路径,创造更加公平正义的环境,使改革发展成果更多更公平惠及人民群众,对全面建成小康社会,实现中华民族伟大复兴的中国梦具有极其重要的现实意义。     

安全电子交易协议的应用

安全电子交易(SET)协议是一种解决互联网上信用卡安全交易的安全协议,其工作流程符合传统的信用卡工作流程和规范。它是主要由MasterCard、VisaCard、微软以及IBM等著名公司联合提出的电子商务解决方案。文中主要阐述了安全电子交易协议的协议规范和应用特点,并针对电子图书产品的特点结合安全电子交易协议,修改其部分协议规范,提出一种实际安全电子商务系统的应用方案。该方案能够解决电子图书在线交易系统的的公平性问题,同时能够保持原有的SET协议的安全性、可追究型和匿名性等电子商务协议的特点。     

街道景观视觉补偿公平性研究：以上海市城市低等级街道为例

城市景观是一种具有多感官价值的社会公共资源,但因其视觉等维度的公平性难以量化,景观公平性研究多集中于资源的合理配置和居民可达性等方向。尝试通过街道景观对路权冲突的补偿作用,来衡量其视觉公平性。研究将街道环境使用者在遭遇路权冲突时引发的情绪反应作为表征,量化街景补偿作用,从而建立街景元素、视觉补偿以及路权冲突三者之间的关系。通过问卷调查与情景模拟的方法识别上海市研究范围内的街景,呈现出两类明显不同的补偿作用：正向补偿与负向补偿。其中,在正向补偿型街景中,天空、绿植等街景元素与开阔度、一致性等景观特性对于缓解因路权冲突引起的愤怒情绪具有显著作用。此外,还发现上海市不同区域低等级街道的街景补偿作用在不同使用者群体之间具有偏向性。因此,提出从街景补偿角度对城市低等级街道进行分类,以街景补偿对使用者情绪的影响,缓解使用者之间固有的不公平性,减少冲突,改善街道使用者的心理健康水平,保证街道环境安全。     

认知无线电中的联合准则频谱分配算法

动态频谱共享技术允许认知用户接入未授权的频谱,可以有效地提高频谱资源的利用率．针对图论着色算法中产生的单轮分配聚集现象,提出了基于协作式最大化频谱总效用和协作式最大化比例公平的联合准则算法．该算法在计算节点间的着色标号时采用不同的准则,进而提高了用户间分配的公平性,同时降低了时间开销．     

A self-adaptive synthetic over-sampling technique for imbalanced classification

Traditionally, in supervised machine learning, (a significant) part of the available data (usually 50%-80%) is used for training and the rest—for validation. In many problems, however, the data are highly imbalanced in regard to different classes or does not have good coverage of the feasible data space which, in turn, creates problems in validation and usage phase. In this paper, we propose a technique for synthesizing feasible and likely data to help balance the classes as well as to boost the performance in terms of confusion matrix as well as overall. The idea, in a nutshell, is to synthesize data samples in close vicinity to the actual data samples specifically for the less represented (minority) classes. This has also implications to the so-called fairness of machine learning. In this paper, we propose a specific method for synthesizing data in a way to balance the classes and boost the performance, especially of the minority classes. It is generic and can be applied to different base algorithms, for example, support vector machines, k-nearest neighbour classifiers deep neural, rule-based classifiers, decision trees, and so forth. The results demonstrated that (a) a significantly more balanced (and fair) classification results can be achieved and (b) that the overall performance as well as the performance per class measured by confusion matrix can be boosted. In addition, this approach can be very valuable for the cases when the number of actual available labelled data is small which itself is one of the problems of the contemporary machine learning.     

一种基于 SLA 的 WDM EPON 动态波长带宽分配算法简

波分复用技术结合时分复用形成了混合WDM EPON,如何提高系统的带宽利用率和用户服务质量成为关键技术。结合已有算法的优缺点,提出一种新的动态波长带宽分配算法。该算法结合业务等级分类和用户服务等级协议的权重为光网络单元分配相应的带宽和波长,以达到提高服务质量、带宽分配公平性,提高上行带宽利用率和改善网络性能的目的。     

Fair e-payment protocol based on blind signature

Electronic transaction through e-payment protocol will grow tremendous in the coming years. In this article, by conversely using blind signature, the authors propose a fair electronic payment scheme for electronic commerce, which can ensure two participants' right simultaneously in electronic transaction process. This scheme is different from other existing schemes and it does not require strong trust relation between customer and merchant. In the scheme, a semi-trusted third party (S-TTP) is involved to provide a fair commerce environment. The S-TTP takes part in the protocol on-line and no secure information about the business is leaked. Moreover, the participants do not need to register to S-TTP. This scheme does not require intervention of a third party in case of dispute, if one user cheats or simply crashes.     

基于最优化的多媒体多播速率控制

传输多媒体流的一种有效方法是采用多速率多播,但多速率多播的速率控制面临许多挑战,如异构性、公平性、实时性及服务质量(QoS)等。提出了一种两阶段优化的策略进行多媒体多播速率控制。把问题公式化为求系统效用最大化的最优化问题,推导出有效的算法。方法综合考虑了服务质量、异构性等,且满足协议间的公平性和多播会晤内各接收者间的公平性。仿真实验表明算法的有效性,与现有的算法相比系统总效用大大提高。     

Uncertainty management: The influence of uncertainty salience on reactions to perceived procedural fairness.

On the basis of fairness heuristic theory, it is argued in this article that people especially need fairness when they are reminded about aspects of their lives that make them uncertain. It is therefore proposed that thinking about uncertainty should make fairness a more important issue to people. The findings of 3 experiments support this line of reasoning: Asking (vs. not asking) participants 2 questions that solicited their thoughts and feelings of being uncertain led to stronger effects of perceived procedural fairness on participants' affective reactions toward the way they were treated. It is argued that these findings suggest that fairness matters to people especially when they are trying to deal with things that make them uncertain. An implication of the current findings therefore may be that fairness is important to people because it gives them an opportunity to manage uncertain aspects of their lives. (PsycINFO Database Record (c) 2011 APA, all rights reserved)