基于预聚类主动半监督的作战体系效能评估

针对作战仿真实验中体系效能通常依靠专家评估、评估代价较大的问题,提出一种基于预聚类主动半监督学习的作战体系效能评估方法。明确了使用该方法进行作战体系效能评估的基本流程,以及自顶向下的评估模式和二值化的评估标准。重点构建了预聚类主动半监督学习算法,首先,结合作战仿真实验数据的特点,对未评估样本进行预聚类,选择最有价值的样本供专家标注;然后,使用已标注的样本训练主动学习算法和半监督学习算法的公用学习器;最后,利用主动学习算法挑选价值较高的样本交由专家评估,并利用新样本对学习器进行不断更新。作战仿真实验数据表明,该方法在达到预期评估准确度的同时降低了评估代价,能有效应用于大规模作战仿真实验的体系效能评估。     

A Hierarchical Ensemble Learning Framework for Energy-Efficient Automatic Train Driving

Railway transportation plays an important role in modern society. As China's massive railway transportation network continues to grow in total mileage and operation density, the energy consumption of trains becomes a serious concern. For any given route, the geographic characteristics are known a priori, but the parameters(e.g., loading and marshaling) of trains vary from one trip to another. An extensive analysis of the train operation data suggests that the control gear operation of trains is the most important factor that affects the energy consumption. Such an observation determines that the problem of energy-efficient train driving has to be addressed by considering both the geographic information and the trip parameters. However, the problem is difficult to solve due to its high dimension, nonlinearity, complex constraints, and time-varying characteristics. Faced with these difficulties, we propose an energy-efficient train control framework based on a hierarchical ensemble learning approach. Through hierarchical refinement, we learn prediction models of speed and gear. The learned models can be used to derive optimized driving operations under real-time requirements. This study uses random forest and bagging – REPTree as classification algorithm and regression algorithm, respectively. We conduct an extensive study on the potential of bagging, decision trees, random forest, and feature selection to design an effective hierarchical ensemble learning framework. The proposed framework was testified through simulation. The average energy consumption of the proposed method is over 7% lower than that of human drivers.     

论消费动机在室内设计中的类型及影响

通过对室内设计中的消费动机进行研究,可以更加理性与系统地将其作为室内设计的依据之一。同时,室内设计师只有深入系统地了解了有关室内设计中消费者的消费动机,才能在设计中有所侧重,从而做到有的放矢、胸中有数。     

兔血清诱导Shope肿瘤细胞凋亡的实验研究

目的：前期实验结果已证明兔血清对Ｓｈｏｐｅ肿瘤细胞具有伤作用。本实验拟从细胞凋亡角度探讨兔血清杀伤该细胞的机理。方法：通过电子显微镜、激光共聚焦显微镜、琼脂糖凝胶电泳及流式细胞仪检测等方法,观察了兔血清诱导细胞凋亡的可能性。结果：经１０％兔血清处理３ｈ的中等分化程度的Ｓｈｏｐｅ肿瘤细胞（ＳＣＢ－６ａ）在电镜、激光共聚焦显微镜下均可见典型的细胞凋亡的形态学特征;１．５％琼脂糖凝胶电泳呈现明显的“阶梯状”图谱（ＤＮＡ ｌｅｄｄｅｒ）;ＰＩ染色后经流式细胞仪检测显示大量亚二倍体细胞（凋亡细胞）。结论：兔血清诱导Ｓｈｏｐｅ肿瘤细胞凋亡可能是其伤细胞的作用机理之一。     

内蒙古生态科技化的区域性特征及其对策

利用生态科技化评价指标体系和生态现代化模型对内蒙古生态科技化程度进行了区域性特征分析,指出今后应继续通过技术进步和生产方式转变,尽快实现生态现代化,提前实现资源和能量消耗速率的"零增长"和生态环境退化速率的"零增长"。     

双乙酸钠合成工艺条件的优化

对采用醋酸－碳酸钠法（以乙醇为溶剂）制备双乙酸钠的条件进行了详细的研究，确定了影响收率的主、次因素依次为反应温度、物料比、反应时间。优化工艺的条件为反应温度94℃，Na2CO3和HAc的投料比为1：3.9，反应时间60min。另对产品进行了质量分析，通报了合成双乙酸钠的最新方法。     

压力下半导体GaAs的电子表面态

使用插值拟合近似获得晶格常数、带隙随压力的解析表示，采用变分法研究了流体静力学压力对半导体GaAs电子本征表面态的影响，数值结果表明，随压力增加电子表面态能级明显向上移动，且电子趋近表面。     

论党的执政方式向依法治国的转变

实现学的执政方式向依法治国的转变，既要坚持和加强党的领导，更需要全党转变观念，变革领导方式，提高执政水平。     

《机械原理》课程实践教学改革的探讨

结合机械原理课程实践教学改革论述了以培养高素质技术应用型创新人才为目的,构建了以引导认知、基本训练、基本实验、综合实验、课程设计及创新实践的开放性"五个层次"的实践教学体系,建立以学生为中心、实现以学生自我训练为主的教学模式.从增加创新性和综合性实验、课程设计、课外科技活动等几个方面,详细介绍了改革和实践的具体措施,对提高学生的工程实践能力和创新能力,提供了有益的尝试,并对具有实践性的课程教学改革提供了借鉴.     

Universal Distributed Estimation Scheme for a Bandwidth Constrained Ad Hoc Sensor Network

This paper describes a distributed estimation scheme (DES) for a bandwidth constrained ad hoc sensor network.The DES is universal in the sense that operations on all sensors are identical and independent of noise distribution.The scheme requires each sensor to transmit just a 1-bit message per observation.Simulation results show that the scheme achieves much better mean-squares error (MSE) performance than the simplified isotropic universal DES and even outperforms the isotropic universal DES which requires more than twice the bandwidth of this scheme.