项目管理在IT企业中的推广与应用

现阶段传统的管理模式还是一些中小型IT企业的主要管理方式。这种方式导致很多中小型IT企业发展的新旧项目成功率都很小。所以,在当前情况下,要大大加强项目管理的涉及度,使之进入中小IT企业。从而,提高中小企业的核心竞争力。那么什么IT企业,何为项目管理,项目管理在IT企业中的推广应用,以及二者之间的相互关系就是我们研究的重要课题。     

气流床水煤浆气化技术的应用现状及开发进展

气流床水煤浆气化是煤高效、洁净利用的一项关键技术。简述了具有代表性的气流床水煤浆气化技术的应用现状及开发进展,并分析了影响水煤浆气化的主要因素,如烧嘴、耐火砖、进料系统、激冷环等,提出了一些改进措施。     

Dynamic watermarking scheme for quantum images based on Hadamard transform

In this paper, a novel watermarking scheme for quantum images based on Hadamard transform is proposed. In the new scheme, a unitary transform controlled by a classical binary key is implemented on quantum image. Then, we utilize a dynamic vector, instead of a fixed parameter as in other previous schemes, to control the embedding process. The dynamic embedding vector is decided by both the carrier quantum image and the watermark image, which is only known by the authorized owner. The proposed scheme is analyzed from visual quality, computational complexity, and payload capacity. Analysis and results show that the proposed scheme has better visual quality under a higher embedding capacity and lower complexity compared with other schemes proposed recently.     

A hybrid recommendation algorithm adapted in e-learning environments

With the rapid development of online learning technology, a huge amount of e-learning materials have been generated which are highly heterogeneous and in various media formats. Besides, e-learning environments are highly dynamic with the ever increasing number of learning resources that are naturally distributed over the network. On the other hand, in the online learning scenario, it is very difficult for users without sufficient background knowledge to choose suitable resources for their learning. In this paper, a hybrid recommender system is proposed to recommend learning items in users’ learning processes. The proposed method consists of two steps: (1) discovering content-related item sets using item-based collaborative filtering (CF), and (2) applying the item sets to sequential pattern mining (SPM) algorithm to filter items according to common learning sequences. The two approaches are combined to recommend potentially useful learning items to guide users in their current learning processes. We also apply the proposed approach to a peer-to-peer learning environment for resource pre-fetching where a central directory of learning items is not available. Experiments are conducted in a centralized and a P2P online learning systems for the evaluation of the proposed method and the results show good performance of it.     

多路输出反激式开关电源的改进与实现

针对传统开关电源存在的控制芯片供电方式耗能较大、反馈电路光耦有效输入电流范围窄两个问题,对传统电源电路进行了改进,设计并实现了一款性能优良的48V转+5V、±15V,输出功率25W的三路输出反激式开关电源。样机输出电压精度为0.2%(+5V)、0.53%(+15V)、0.6%(-15V),输出电压纹波为20mV(+5V)、50mV(+15V)、60mV(-15V),电压精度和纹波率均满足小于1%的要求;测试表明:该电源性能优良,具有效率高,稳压精度高,负载调整率高等优点,有很高的生产应用价值。     

高校智慧实验室综合管理平台建设研究

提出智慧实验室综合管理平台应能改善甚至解决高校实验室存在的人工管理、智慧化建设缓慢、开放共享不足等问题.分析智慧实验室管理平台的架构,描述了管理平台中实验教学管理与实验室开放管理应具备的主要功能与管理流程,为智慧实验室的管理与建设提供一定的参考.     

高性能MCU的FPGA原型验证系统研究与平台实现

本文研究并实现了一种基于Cortex-A7核的高性能MCU在FPGA原型阶段的验证平台。该设计研究可以针对高性能MCU芯片或其FPGA原型验证阶段的软硬件验证环境快速搭建,通过交互式、软硬件协同的方式对MCU芯片各个模块功能进行实时、可靠的功能验证。高效的FPGA原型验证可以提高MCU研发速度、缩短验证时间、提高验证效率、及时发现芯片设计的缺陷、缩短芯片研发周期。     

基于稳健设计的SGNS算法的超参数调优方法

通常给定超参数的若干取值选取性能最大的为最优组合(称为直接选优法),但是此方法的稳健性差。为此,提出了一种基于稳健设计的超参数调优方法(称为稳健调优法)。具体地,以SGNS算法中的超参数调优为例,在词语推断任务上实验并得出:经方差分析得到SGNS算法中的七个超参数中的五个对算法预测性能有显著影响,确定为主控因子,其余两个确定为噪声因子,且主控因子中有三个对性能估计的方差有显著影响,因此,调优中仅从期望最大来直接选优是不合理的;稳健调优法与直接选优法两者在预测性能上没有显著差异,但稳健调优法对噪声因子具有较好的稳健性。稳健调优法对一般的深度神经网络的调参有实际的借鉴意义。     

柴油机自动减压起动装置的有限元分析

分析了柴油机自动减压装置的工作原理,针对在潍柴WP10型柴油机上加装的减压装置,利用Solidworks Simulation对压板进行了静力分析,找出了应力最大的部位和最大值,并按照Von Mises准则,判别压板满足刚度要求。