基于进化神经网络的入侵检测模型

当前的入侵检测技术主要有基于规则的误用检测和基于统计的异常检测。本文提出一个基于遗传算法的神经网络入侵检测系统模型，该模型将神经网络与遗传算法结合起来，利用神经网络自学习、自适应的特性，同时克服了神经网络易陷入局部最优，训练速度慢的缺点。该模型具有智能特性，能够较好地识别新的攻击。     

Is there a global environmental justice movement?

One of the causes of the increasing number of ecological distribution conflicts around the world is the changing metabolism of the economy in terms of growing flows of energy and materials. There are conflicts on resource extraction, transport and waste disposal. Therefore, there are many local complaints, as shown in the Atlas of Environmental Justice (EJatlas) and other inventories. And not only complaints; there are also many successful examples of stopping projects and developing alternatives, testifying to the existence of a rural and urban global movement for environmental justice. Moreover, since the 1980s and 1990s, this movement has developed a set of concepts and campaign slogans to describe and intervene in such conflicts. They include environmental racism, popular epidemiology, the environmentalism of the poor and the indigenous, biopiracy, tree plantations are not forests, the ecological debt, climate justice, food sovereignty, land grabbing and water justice, among other concepts. These terms were born from socio-environmental activism, but sometimes they have also been taken up by academic political ecologists and ecological economists who, for their part, have contributed other concepts to the global environmental justice movement, such as ‘ecologically unequal exchange’ or the ‘ecological footprint’.     

Terrorist violence and the enrollment of psychology in predicting Muslim extremism: critical terrorism studies meets critical algorithm studies

Discourse on terrorist violence has long facilitated an especially liberal form of securitisation. Originally evoked in reference to anarchists and communists, a rational consideration of terrorist violence, inaugurated by the concept, asks for deferred judgement about the nature of, or reasons behind, violence related to terror on the premise that state and international legal norms governing the legitimate use of violence fail to circumscribe the proper capacities of the state to regulate and explain terrorism. Where sovereign powers along with their military and civilian instruments of coercion are deemed unable to regulate violence effectively, analysts of terrorist violence and their readership are invited to consider and cultivate new sensibilities. Beginning in the 1980s, studies by psychologists found renewed urgency among a growing cadre of interdisciplinary terror experts who found religion, Islam especially, a key variable of analysis. I situate their contributions in a longer history of secular and racialising discourse about terrorist violence. Central to this history are practices of reading, translating, interpreting and archiving texts. Evidence for the argument is based on the analysis of an algorithm that allegedly predicts the likelihood of terrorist strikes by counting words spoken by al-Qa?ida leaders and correlating their frequency with over 30 psychological categories.     

Maximum likelihood estimation of structural VARFIMA models

This paper considers the maximum likelihood estimation of a class of structural vector autoregressive fractionally integrated moving-average (VARFIMA) models. The structural VARFIMA model includes the fractional cointegration model as one of its special cases. We show that the conditional likelihood Durbin–Levinson (CLDL) algorithm of Tsay (2010a) is a fast and reliable approach to estimate the long-run effects as well as the short- and long-term dynamics of a structural VARFIMA process simultaneously. In particular, the computational cost of the CLDL algorithm is much lower than that proposed in Sowell (1989) and Dueker and Startz (1998). We apply the CLDL method to the Congressional approval data of Durr et al. (1997) and find that the long-run effect of economic expectations on Congressional approval is at least 0.5718, which is over twice the estimate of 0.24 found in Table 2 of Box-Steffensmeier and Tomlinson (2000). This paper also tests the divided party government hypothesis with the CLDL algorithm.     

关于一类半无限多目标规划离散型算法的偏差估计

本文将文献[5]中的偏差估计公式推广到有任意多个目标函数和α∈(0, ∞)的情形并给出约束参数集维数可任意的数值例子.     

一种基于Otsu算法的印章二值化算法

本文提出了一种基于Otsu算法的印章二值化法.该算法通过对算法的改进,考虑了印章图象象素的灰度分布值和它们邻域象素的平均灰度值分布情况.并不是用于整幅印章图象,而是用于分块的印章图象.实验证明,该算法适合印章的二值化处理.     

论自动驾驶汽车生产者的刑事责任

自动驾驶汽车是人类研发、制造、使用和管理的智能产品,不是犯罪主体或刑事责任主体。在自动驾驶汽车自主控制状态下发生交通事故的,其生产者、使用者和其他人员难以按照我国现有刑法的罪名定罪处罚。除非道路交通安全法和刑法有专门的规定,驾驶位人员不接管汽车或接管后无力改变交通事故结果的,不构成交通肇事罪或其他管理过失犯罪。驾驶位人员的注意义务是阻止自动驾驶汽车自主控制下发生交通事故,其注意义务不应过高。允许的风险、紧急避险理论不能为自动驾驶汽车紧急路况处理算法的生产与应用提供合法、合理的解决方案,生产者遵守算法安全标准仅可以使生产行为合法化。鉴于现行刑法不适应自动驾驶汽车应用的特性,我国应当建立以生产者全程负责为中心的新刑事责任体系,使之在自动驾驶汽车生产和应用两个阶段承担安全管理责任,生产者拒不履行自动驾驶汽车应用安全管理义务且情节严重的,应当承担刑事责任。     

中国少数民族高级领导干部发展分析

新中国成立前,少数民族身份对少数民族干部进入中共中央委员会所起的作用不大,新中国成立后,民族的代表性是个重大的政治问题,民族代表性的作用越来越明显。但每一少数民族占中国总人口比例与其在中共中央委员会中所占的比例并不一致,只有那些少数民族特征明显、集中聚居在边疆省份的具有较大影响力和具有地缘政治因素的民族才最有机会当选。改革开放以来,吸收少数民族高级领导干部的过程和条件已与汉族高级领导干部越来越相似。