从电子设计竞赛看单片机实验教学的改革与创新

结合电子设计竞赛的内容及特点,从当前社会发展对高素质、创新人才的需求出发,为提高学生运用理论知识去解决实际问题的能力,对单片机原理及应用课程实验内容和方法的改革进行了探讨.     

传感器网络推拉混合模式代码传输方法

代码传输是实现无线传感器网络应用重构的关键技术.首先研究传感器网络环境自适应应用重构(EAAR)模型的两种代码传输模式-拉模式和推模式,并结合两种模式的特点提出一种适用于分簇传感器网络的能量有效代码传输模式-基于簇的混合代码传输(Cluster-based Hybrid Code Transmission, CHCT).在该模式下,簇头节点采用拉方式从基站获取代码,簇内节点采用推方式进行代码传输.仿真实验验证了方法的有效性并讨论了影响CHCT性能的主要参数.     

在线信息产品捆绑定价研究

基于在线信息产品交易各方的互动关系,考虑网络接入商与信息产品生产商各自市场垄断力的对比,研究了两者进行价格决策的先后顺序对信息产品捆绑的最终价格和对信息产品厂商采用捆绑销售策略的影响.研究结果表明当两者同时进行价格决策时,两者均分市场利润;当两者进行序贯博弈时,先决策价格者将获得先动者优势,且消费者在此情形下的总支付将大于当两者同时决策时的总支付;信息产品厂商采用何种捆绑策略与其决策顺序无关,仅与被捆绑产品的捆绑价值参数相关.     

大学生存的四大法则:博大、凝炼、竞争、创新

现代大学承载着国家、社会赋予的重大使命，源于大学事业发展的必然，它必要意识明晰地遵循“博大”、“凝炼”、“竞争”、“创新”四大法则来生存，藉以不断获取进取力量，抗拒或消除狭隘、平庸与落后。     

Efficient and power-awareness query over sensor networks

Sensor networks consisted of low-cost, low-power, multifunctional miniature sensor devices have played an important role in our daily life. Light and humidity monitoring, seismic and animal activity detection, environment and habitat monitoring are the most common applications. However, due to the limited power supply, ordinary query methods and algorithms can not be applied on sensor networks. Queries over sensor networks should be power-aware to guarantee the maximum power savings. The minimal power consumption by avoiding the expensive communication of the redundant sensor nodes is concentrated on. A lot of work have been done to reduce the participated nodes, but none of them have considered the overlapping minimum bounded rectangle (MBR) of sensors which make them impossible to reach the optimization solution. The proposed OMSI-tree and OMR algorithm can efficiently solve this problem by executing a given query only on the sensors involved. Experiments show that there is an obvious improvement compared with TinyDB and other spatial index, adopting the proposed schema and algorithm.     

将竞争意识引入英语课堂中的尝试

Examining teaching effect requires the teacher to find an efficient means for inspecting the results from both teaching and learning,and consciousness of competition can be put into English class.If you want to have a try,some effect will be achieved.     

Conflict Pattern Analysis: Preparing the Ground for Participation in Policy Implementation

The participation of non-state actors in implementation processes is often understood as a means to increase compliance efficiency. But the implementation of spatial policies frequently focuses on pre-established goals, processes and instruments and thus renders difficult open discourse and shared decision-making. This paper introduces conflict pattern analysis (CPA) as a tool that supports the analysis of the actual actor constellation in order to define efficient approaches that avoid common problems of participatory processes. CPA is a semi-formalised method that helps to identify key-actors, their relations and interaction amongst each other as well as their core beliefs, interests and resources. It aggregates this information to interaction patterns that can be compared, classified and linked to different participatory methods on a theoretically informed basis. Particularly on the local and regional level, this could be the first step for successful (participatory) implementation strategies.     

种内竞争对一年生植物高生长与生物量关系的影响

通过田间试验研究了两种一年生植物燕麦和箭She豌豆在高密度和低密度条件下表现出来的株高（H）与生物量（M）之间的异速生长关系，并用线性回归和非线性回归的方法对所得数据进行了分析，结果表明，植物在低密度条件下，个体间没有明显的竞争作用存在，株高与生物量之间表现为“简单的异速生长”关系，其异速生长表达式为y=a bx的形式；植物在高密度条件下，个体间存在着激烈的种内竞争，株高与生物量之间表现为“非线性的异速生长”关系，其异速生长表达式为y=ax^2 bx c的形式。     

Samples Selection for Artificial Neural Network Training in Preliminary Structural Design

An artificial neural network (ANN) is applied in the preliminary structural design of reticulated shells. Major efforts are made to enhance the generalization ability of networks through well-selected training samples. Number-theoretic methods (NTMs) are adopted to generate samples with low discrepancy, i.e.uniformly scattered in the domain, where discrepancy is a quantitative measurement of the uniformity. The discrepancy of the NTM-based sample set is 1/6-1/7 that of samples with equal spacing. In a case study,networks trained by NTM-based samples are compared with those trained by equal-spaced samples in generalizing performance. The results show that both the computational precision and stability of the former ANNs are more satisfactory than those of the latter. It is concluded that the flexibility of ANNs in generalizing can be effectively increased by use of uniformly distributed training samples rather than simply piling data.More reliable uniformity should be obtained, however, through NTMs instead of equal-spaced samples.     

以企业核心竞争力的提高促进物流业态的转型

随着社会经济的发展，物流业正蓬勃发展起来。核心竞争力是我国物流企业参与激烈的市场竞争的基础和关键。在传统储运业向现代物流业转型过程中，要突破障碍，依托提升企业核心竞争力，才能使企业立于不败之地。本文站在物流企业的角度，详尽分析物流企业的核心竞争力，以及借助提高核心竞争力，加快传统储运业向现代物流转型的四种模式的基础上，有针对性的提出促进我国物流业态转型的对策，以提高我国物流企业的竞争能力。改善物流服务水平。