浅析新时期高校弱势群体的德育工作

随着国际、国内大环境的不断变化,高校弱势群体呈现出多元化趋势。文章分析了当前高校普遍存在的经济弱势群体、心理弱势群体、思想弱势群体、学习弱势群体的主要特征,并在探讨其产生的基础上对新时期高校的德育工作提出了相应的对策和建议。     

基于集成学习的离子通道药物靶点预测

新药研制成功的关键在于药物靶点的发现和准确定位.在已知的药物靶点中,离子通道蛋白是一类广受欢迎的靶点,它与免疫系统、心血管等疾病密切相关.对于靶点的发现,传统生物方法成本高、耗时久.因此,探讨了基于机器学习的离子通道蛋白药物靶点的挖掘,以加快药物靶点发现过程,节约经费.由于药物靶点相关序列的长度不一致,考虑了蛋白质序列编码的13种特征,它们能将不等长的蛋白质序列转化成等长序列.通过数值实验筛选能够较好地区分靶点和非靶点的特征子集,并采用集成学习的方法整合特征得到预测模型.通过与已有工作的比较表明,提出的集成模型能得到较高的准确率,具有很好的应用前景.     

基于RBAC模型的权限组件

基于信息化系统的特点及其对权限控制的需要,在.NET框架下,基于RBAC模型设计与实现了一套权限控制组件,并在设计过程中对RBAC模型进行了扩展,引入了权限委托、分级授权,UBAC等特性,并将该组件应用于多个EIS系统的开发过程中,结果表明该组件能够很好的集成于信息化系统中,能够减轻权限开发的复杂度,提高权限管理工作的效率.     

Arithmetic coding using hierarchical dependency context model for H.264/AVC video coding

In this paper, a hierarchical dependency context model (HDCM) is firstly proposed to exploit the statistical correlations of DCT (Discrete Cosine Transform) coefficients in H.264/AVC video coding standard, in which the number of non-zero coefficients in a DCT block and the scanned position are used to capture the magnitude varying tendency of DCT coefficients. Then a new binary arithmetic coding using hierarchical dependency context model (HDCMBAC) is proposed. HDCMBAC associates HDCM with binary arithmetic coding to code the syntax elements for a DCT block, which consist of the number of non-zero coefficients, significant flag and level information. Experimental results demonstrate that HDCMBAC can achieve similar coding performance as CABAC at low and high QPs (quantization parameter). Meanwhile the context modeling and the arithmetic decoding in HDCMBAC can be carried out in parallel, since the context dependency only exists among different parts of basic syntax elements in HDCM.     

Evaluate mobile video quality in hybrid spatial and temporal domain

Mobile video quality assessment plays an essential role in multimedia systems and services. In the case of scalable video coding, which enables dynamic adaptation based on terminal capabilities and heterogeneous network, variable resolution is one of the most prominent types of video distortions. In this paper, we propose a new hybrid spatial and temporal distortion metric for evaluating video streaming quality with variable spatio-temporal resolution. The key idea is to project video sequence into feature domain and calculate the distortion of content information from the projected principal component matrix and its eigenvectors. This metric can measures the degree of content information degradation especially in spatio-temporal resolution scalable video. The performance of the proposed metric is evaluated and compared to some state-of-the-art quality evaluation metrics in the literature. Our results show that the proposed metric achieves good correlations with the subjective evaluations of the EPFL scale video database.     

Efficient identity-based signature over NTRU lattice

Identity-based signature has become an important technique for lightweight authentication as soon as it was proposed in 1984. Thereafter, identity-based signature schemes based on the integer factorization problem and discrete logarithm problem were proposed one after another. Nevertheless, the rapid development of quantum computers makes them insecure. Recently, many efforts have been made to construct identity-based signatures over lattice assumptions against attacks in the quantum era. However, their efficiency is not very satisfactory. In this study, an efficient identity-based signature scheme is presented over the number theory research unit (NTRU) lattice assumption. The new scheme is more efficient than other lattice- and identity-based signature schemes. The new scheme proves to be unforgeable against the adaptively chosen message attack in the random oracle model under the hardness of the γ-shortest vector problem on the NTRU lattice.     

计算机在高校实验室管理中的应用

计算机技术的迅速发展给人们的生活学习及工作带来了很多便利,并且计算机技术已经被广泛应用到了各个领域中。本文就计算机在高校实验室管理应用中的问题进行了分析和讨论。