灰色关联分析法在矿体可崩性评价中的应用

在用软划分方法建立矿体可崩性分级标准的基础上，提出了评价矿体可崩性的灰色关联分析法，并结合实例进行了验证．     

模糊学在点火元件优选中的应用

评价了点火元件的综合性能。文中的点火元件优选工作是模糊概念应用在工程中的尝试。综合评价结果与实际相符合。     

Affective computing vs. affective placebo: Study of a biofeedback-controlled game for relaxation training

Relaxation training is an application of affective computing with important implications for health and wellness. After detecting user׳s affective state through physiological sensors, a relaxation training application can provide the user with explicit feedback about his/her detected affective state. This process (biofeedback) can enable an individual to learn over time how to change his/her physiological activity for the purposes of improving health and performance. In this paper, we provide three contributions to the field of affective computing for health and wellness. First, we propose a novel application for relaxation training that combines ideas from affective computing and games. The game detects user׳s level of stress and uses it to influence the affective state and the behavior of a 3D virtual character as a form of embodied feedback. Second, we compare two algorithms for stress detection which follow two different approaches in the affective computing literature: a more practical and less costly approach that uses a single physiological sensor (skin conductance), and a potentially more accurate approach that uses four sensors (skin conductance, heart rate, muscle activity of corrugator supercilii and zygomaticus major). Third, as the central motivation of our research, we aim to improve the traditional methodology employed for comparisons in affective computing studies. To do so, we add to the study a placebo condition in which user׳s stress level, unbeknown to him/her, is determined pseudo-randomly instead of taking into account his/her physiological sensor readings. The obtained results show that only the feedback presented by the single-sensor algorithm was perceived as significantly more accurate than the placebo. If the placebo condition was not included in the study, the effectiveness of the two algorithms would have instead appeared similar. This outcome highlights the importance of using more thorough methodologies in future affective computing studies.     

Advancements in the design and validation of an air pollution integrated assessment model for Spain

This paper describes the design and application of the Atmospheric Evaluation and Research Integrated model for Spain (AERIS). Currently, AERIS can provide concentration profiles of NO₂, O₃, SO₂, NH₃, PM, as a response to emission variations of relevant sectors in Spain. Results are calculated using transfer matrices based on an air quality modelling system (AQMS) composed by the WRF (meteorology), SMOKE (emissions) and CMAQ (atmospheric-chemical processes) models. The AERIS outputs were statistically tested against the conventional AQMS and observations, revealing a good agreement in both cases. At the moment, integrated assessment in AERIS focuses only on the link between emissions and concentrations. The quantification of deposition, impacts (health, ecosystems) and costs will be introduced in the future. In conclusion, the main asset of AERIS is its accuracy in predicting air quality outcomes for different scenarios through a simple yet robust modelling framework, avoiding complex programming and long computing times.     

矿山工程设计可靠性研究

本文讨论了矿山工程设计中地质储量、矿山工程建设、工艺系统、露天矿投资等的可靠性计算方法,据此可对矿山能否达到设计规模及预期效益作出评价,从而可采取相应对策。     

基于广义数学期望算法模型的中国企业工资水平宏观调控评价研究

随着我国经济进入加速转型期,市场机制在劳动力资源配置中作用不断加大,我国企业工资水平宏观调控体系机制已成为繁复的工程系统。本文运用广义数学期望算法构建企业工资水平宏观调控评价体系,从经济发展,社会和谐,生活协调三个方面对中国企业工资水平宏观调控体系展开综合评价,分析存在的问题,为优化和完善中国企业工资水平宏观调控机制提供决策依据和政策建议。     

基于云模型和模糊聚合的应急方案评估

应急方案评估是灾害应急响应中的重要环节.现有方法大都依赖于指挥员个人的知识和经验,而且不能综合不同领域专家的建议.因此,在分析和总结相关工作的基础上,引入云模型和模糊软集合对应急方案进行评估.对于给定的应急方案,首先基于云模型对不同领域专家的评价信息进行定性到定量的转换,然后利用模糊软集合对所有专家的定量评价信息进行聚合,得到综合评判结果.对比实例表明该方法的有效性,并可为应急决策提供理论指导和技术支持.     

星地时间同步任务规划综合评价技术研究

星地时间同步是导航定位系统的重要组成部分,准确评价星地时间同步任务规划的好坏,是卫星方案设计及优化提高卫星导航系统运行效率的基础。针对导航卫星星地时间同步任务规划评价问题,建立了基于任务、资源、性能的多层次评价指标体系,构造了通用的综合评价框架,最后通过仿真验证了方法的可行性,为导航系统的顶层设计与地面资源配置优化提供决策支持。     

A reactive extension of the OpenMusic visual programming language

Objectives: OpenMusic (OM) is a domain-specific visual programming language designed for computer-aided music composition. This language based on Common Lisp allows composers to develop functional processes generating or transforming musical data, and to execute them locally by demand-driven evaluations. As most historical computer-aided composition environments, OM relies on a transformational declarative paradigm, which is hard to conciliate with reactive data-flow (an evaluation scheme more adequate to the development of interactive systems). We propose to link these two evaluation paradigms in the same and consistent visual programming framework.Methods: We establish a denotational semantics of the visual language, which gives account for its demand-driven evaluation mechanism and the incremental construction of programs. We then extend this semantics to enable reactive computations in the functional graphs.Results: The resulting language merges data-driven executions with the existing demand-driven mechanism. A conservative implementation is proposed.Conclusions: We show that the incremental construction of programs and their data-driven and demand-driven evaluations can be smoothly integrated in the visual programming workflow. This integration allows for the propagation of changes in the programs, and the evaluation of graphically designed functional expressions as a response to external events, a first step in bridging the gap between computer-assisted composition environments and real-time musical systems.     

班主任网上评价系统的设计与实现

该文主要研究《班主任网上评价系统》软件研发的特定业务需求及技术实现方案。文章首先提出了我校班主任评价管理体系的业务特点及对软件的需求,接着设计了与现有管理业务相一致的柔性评价体系技术实现方案,接下来论述了实现这个方案的关键技术。目前已完成本软件的全部研发过程并交付使用,效果良好。