基于可信性理论的Mean-CVaR投资组合优化

选取CVaR作为风险度量指标,在可信性理论的基础上构建Mean-CVaR投资组合模型,采用Markov过程预测作为模糊变量的预期投资收益率,并设计基于模糊模拟和遗传算法的混合智能算法以求解;选取上证50成份股2013—2014年的日度历史交易数据,将该模型应用到中国证券市场,结果发现该投资组合模型与中国证券市场的环境具有一定的适应性,能够为投资者的投资决策提供依据。     

Another economy: towards a cultural dialectics between energy and society

The looming oil crisis, pollution, and climate change have pushed governments, corporations, and individuals to think of new policies, new objects/products and new manners to market them – usually under the label of “green economy” (or the shifting towards a sustainable economy).

The changes that are on the way as a result of the envisaged “green revolution” need a broad vision that couples the economy of energetic techniques with the related socio-cultural economy that is induced by, and at the same time reciprocally influences, the mere technical transformations.

Based on previous analysis of theories of socio-technological change and putting at its center the concept of subjectivation in social sciences, this article proposes a theoretical understanding of cultural shifts and their relationship with changes in the practices of production, transfer and use of energy.

First part presents a schema of subjectivation in triangulation, that links the biological level with the material culture and with the representational realm of normativities in our society. It will be developed through the example of electric vehicle as metaphor of the energetic transition. Through this understanding, second part deals with the modeling of the three items as a processual energetic system by using the concepts of surplus and expenditure. Within this frame, we show how disruptions in one of the poles of this model influences the others and bring about changes in the entire Anthropo-Social level. Third part proposes possible types of emerging subjectivities and advances the idea of extending the realm of consciousness to the energetic transfers and their potentiality.     

基于智能Agent技术的个性化数字图书馆系统模型

根据智能Agent的特性将其应用于智能信息检索,并应用于图书管理系统。针对个性化数字图书馆的具体需求,对原图书馆系统进行了功能扩充。     

Exposure to Traffic and Risk of Hospitalization Due to Injuries

Research on the risk of motor vehicle injuries and their relationship with the amount of travel has been only partially analyzed. The few individual exposure assessments are related to very specific subsets of the driving and traveling populations. This study analyzes the relationship between kilometers traveled and hospitalization due to motor vehicle injuries. Twelve thousand three hundred and sixty nine Spanish university graduates from the Seguimiento Universidad de Navarra multipurpose cohort study were evaluated. They had not been hospitalized due to motor vehicle injuries at baseline and were followed up to eight years. Biannual questionnaires allowed for self‐reporting of kilometers traveled in motor vehicles, together with incidence of hospitalization. Covariates in the Cox regression models included age and gender and baseline use of safety belt while driving, driving a vehicle with driver‐side airbag, driving a motorcycle, and drinking and driving. There were 49,766 participant‐years with an average yearly travel of 7,828 km per person‐year. Thirty‐six subjects reported a first hospitalization event during this time. The adjusted hazard ratio per additional kilometer traveled was 1.00005 (95% confidence interval 1.000013 to 1.000086). Even the smallest of reductions in the amount of kilometers traveled (from an average of 3,250 km per year to 1,000) has a statistically significant protective effect on the likelihood of sustaining hospitalization due to motor vehicle injury (aHR 0.9, 95% CI 0.78 to 0.98). In light of current policies aimed to reduce motorized traffic due to environmental concerns, it may be appropriate to consider the additional health benefit related to reductions in injuries.     

模糊车辆路径问题的一种混合遗传算法

在对模糊车辆路径问题进行简单描述的基础上,通过引入决策者主观偏好值的概念,给出了解决该问题的基本思路,建立了具有模糊特征的车辆路径问题的模糊机会规划模型,提出了求解该问题的一种基于模糊模拟的混合遗传算法。同时,在最小化总行驶距离的目标下,通过随机模拟方法研究了决策者主观偏好值的选择对最终决策目标的影响作用,并给出了其最佳取值范围。     

“智能化检测”课程设计的创意与实践

阐述了“智能检测与生产过程控制”专业方向的“智能化检测课程设计”内容安排及其制作过程中的几点创意。宏观与微观的结合培养学生把握系统整体和具体操作实施的能力,机械与电子的结合和基础课、专业基础课、专业课知识的结合培养学生综合运用多方面知识解决复杂工程问题的能力,工程实际的联系与新方案和新内容设计培养学生在工程实际中的创新思维和能力。该内容和创意经过两届学生的尝试,证明是成功的。     

多变量过程自组织学习控制新方法及其实时实现

本文论述一种利用相联存储器系统的多变量自组织学习控制新方法及其实时实现。在线学习包含两个步骤:被控过程的动态输入—输出特性用仿视感控器的方式逐步存入一个相联存储器中,用来作为预测过程模型;依靠一种特殊的输出预测算法,利用预测过程模型并通过单步超前性能指标最优化来规划控制策略,经教练后的控制策略以同样的方式存入第二个相联存储器中。文中提出了一种特殊的采样和更新方法。通过仿真和实时应用证明了所述学习控制新方法的可行性。     

ITS中汽车电子监测技术的研究与设计

针对交通系统的复杂性,提出了一种采用汽车电子技术的车辆安全行驶状况监测方案,对汽车行驶中的异常现象进行实时监测。系统采用组件化开发方式,并在此基础上创建了基本的监测模型。系统以组件的形式装配,易于开发、维护和管理,具有一定的实用性。     

隐喻的认知与隐喻翻译

隐喻的研究由来已久,隐喻是一种常见的修辞手段.现代隐喻论认为隐喻不仅是一种语言现象,更重要的是一种思维与行为方式,一种认知手段.隐喻是语言的一个重要组成部分,它承载着特定民族的深厚而独特的文化内涵.在翻译隐喻时,译者要根据隐喻的认知方式,采取不同的翻译手段,以取得文化传真的最佳效果.     

知识产权保护对经济增长的影响研究综述

本文对国内外关于知识产权保护与经济增长的理论和实证研究进行了综述和简单的评论。从理论角度来看,知识产权保护的目的是鼓励知识创新、增加知识存量,从而促进经济增长;在开放条件下,东道国政府提供适度且有效率的知识产权保护政策,可以增加FDI的流入量和引进较为先进的技术。从实证角度来看,国内外研究表明,知识产权保护是影响经济增长的因素之一,但受到一国的人力资本、经济开放度和经济发展水平等因素的制约。