基于视觉相关性的无线多媒体传感器网络节能策略

针对资源受限的纯相机无线多媒体传感器网络的能量消耗问题,改进了视觉相关性算法,并提出了一种新颖的基于视觉相关性的完全分布式节能策略.首先,根据视觉相关性系数算法计算相机的视觉相关性系数向量;其次,利用视觉相关性系数向量得到相机的竞争筹码并以此确定相机的角色;然后,运行两个并行且相互交互的操作:簇头相机根据簇头权重向量确定下一跳并完成路由建立;非簇头相机计算亲密度向量并且得到自己的簇ID.最后,实验结果表明本文提出的节能策略能有效地延长资源受限无线多媒体传感器网络的生命周期.     

侧吹炼铜过程中乳化现象的模拟

为定量描述熔炼过程中乳化现象,首先建立了基于相似原理的物理模型,然后使用高分辨率相机和Image Pro-Plus 6.0软件考察了气体流量对熔池内乳化层的形成、乳化液滴尺寸分布的影响规律,最终建立了传质界面面积ɑ的估算方法.结果表明:乳化液滴的体积表面积平均直径值(SMD)随着气体流量的增大而减小,乳化层内ɑ值随着气体流量的增大几乎呈线性增长,铜锍与渣的分离可由重力和扩散传质引起.     

油润滑直齿轮的齿面磨损

高速重载齿轮常常工作在混合润滑状态,为了准确预测齿面的磨损程度,提出一种油润滑齿轮的磨损分析模型,使其能够在微观尺寸上对混合润滑齿面的磨损过程进行准确地描述.依据实测的齿面形貌特征生成非高斯粗糙面,将热-应力耦合分析结果作为混合润滑分析的工况条件和初始条件,研究一定工况下齿面的应力分布、润滑状态及磨损趋势,进而揭示了齿面磨损机理.结果表明:油润滑齿面磨损率受多重因素综合影响;粗糙峰的形状及分布方向会显著影响齿面的磨损程度;磨损率的预测结果与试验数据较为一致,表明混合润滑齿面的磨损预测方法具有实际工程意义.     

A Proof of the Duality of the DINA Model and the DINO Model

The Deterministic Input Noisy Output “AND” gate (DINA) model and the Deterministic Input Noisy Output “OR” gate (DINO) model are two popular cognitive diagnosis models (CDMs) for educational assessment. They represent different views on how the mastery of cognitive skills and the probability of a correct item response are related. Recently, however, Liu, Xu, and Ying demonstrated that the DINO model and the DINA model share a “dual” relation. This means that one model can be expressed in terms of the other, and which of the two models is fitted to a given data set is essentially irrelevant because the results are identical. In this article, a proof of the duality of the DINA model and the DINO model is presented that is tailored to the form and parameterization of general CDMs that have become the new theoretical standard in cognitively diagnostic modeling.     

我国农业在物联网模式下发展探索

近十年,国外发达国家的物联网技术已经在农业方面得到广泛应用。而我国农业物联网技术还属于起步阶段,那么如何借鉴发达国家的农业物联网发展模式经验,构建适合我国农业物联网应用平台,建立农业物联网产品标准化体系,研发完善农业物联网核心技术产品,用多元化的技术成果指导传统农业向现代化农业转变,将是我国农业物联网发展的关键点。     

无锡市科技社团人才培养策略研究

为实施我国人才兴国战略和全面建设"强富美高"新无锡,笔者客观分析了无锡科技社团人才培育的现状,发现人才结构偏大龄化、科技社团管理人才缺乏、人才发展机制缺失等是目前存在的主要问题。针对以上问题,通过走访调研及相关文献资料研究,对本市科技人才培养提出了新的人才培育策略,如对科技人才内涵重新界定、针对国内不同学龄阶段的科技人才分段培养、提倡科技社团职业经理人的培养、实施科技人才全球化战略和注重现有科技人才保护等策略。     

Generalized Multivariate Gumbel Distributions——Dependence,Aging Properties and Applications

This paper introduces a generalized multivariate Gumbel (GMG) distribution using a survival copula. Various dependence properties of the GMG distribution and some analytical properties of the generators of the GMG distribution are studied. Furthermore, the authors also investigate the dependence behavior of the residual lifetime vector of the GMG distribution. As an illustration, the GMG distribution is applied to fit a real data set.     

A two-dimensional improvement for Farr-Gao algorithm

Farr-Gao algorithm is a state-of-the-art algorithm for reduced Gröbner bases of vanishing ideals of finite points, which has been implemented in Maple as a build-in command. This paper presents a two-dimensional improvement for it that employs a preprocessing strategy for computing reduced Gröbner bases associated with tower subsets of given point sets. Experimental results show that the preprocessed Farr-Gao algorithm is more efficient than the classical one.     

The complexity and on-line algorithm for automated storage and retrieval system with stacker cranes on one rail

This paper considers an on-line scheduling and routing problem concerning the automated storage and retrieval system from tobacco industry. In this problem, stacker cranes run on one common rail between two racks. Multiple input/output-points are located at the bottom of the racks. The stacker cranes transport bins between the input/output-points and cells on the racks to complete requests generated over time. Each request should be accomplished within its response time. The objective is to minimize the time by which all the generated requests are completed. Under a given physical layout, the authors study the complexity of the problem and design on-line algorithms for both one-stacker-crane model and two-stacker-crane model. The algorithms are validated by instances and numerical simulations.     

Developing anti-neoplastic biotherapeutics against eIF4F

Biotherapeutics have revolutionized modern medicine by providing medicines that would not have been possible with small molecules. With respect to cancer therapies, this represents the current sector of the pharmaceutical industry having the largest therapeutic impact, as exemplified by the development of recombinant antibodies and cell-based therapies. In cancer, one of the most common regulatory alterations is the perturbation of translational control. Among these, changes in eukaryotic initiation factor 4F (eIF4F) are associated with tumor initiation, progression, and drug resistance in a number of settings. This, coupled with the fact that systemic suppression of eIF4F appears well tolerated, indicates that therapeutic agents targeting eIF4F hold much therapeutic potential. Here, we discuss opportunities offered by biologicals for this purpose.