虚拟系统使用经验中的创新发明

根据多年使用各类虚拟系统的经验,通过对不同品牌摄像机、云台、传感跟踪装置等虚拟系统配套设备的研究,自主研发了通过摄像机光缆传输虚拟系统传感跟踪数据的设备,创新集成化虚拟系统的数据传输,简化了虚拟系统搭建流程,提高了系统稳定性.     

基于链路优先的快速协同虚拟网络映射算法

在网络虚拟化环境中,为了减少链路映射成本和提高收益,提出了一种链路优先的协同映射算法。该算法交替映射链路和节点,并使用贪心思想优先将带宽资源需求较大的虚拟链路映射到跳数较少的物理路径上,最终达到降低虚拟网络平均消耗和提高虚拟网络接受率的目的。仿真结果表明,与已有算法相比,所提算法节约了链路映射的成本,提高了虚拟网络接受率和物理网络收益,算法运行时间也有效缩短。     

帧中继业务互扰问题的分析与解决措施

帧中继网络采用比特透明数据业务部件传输同步数据,采用虚拟路由器部件传输IP数据,针对网络运行过程中出现的不同传输链路的IP数据相互影响和IP数据影响同步数据现象,测试发现与带宽利用率有关。分析了优先级相同时用户数据报协议(UDP)数据比传输控制协议(TCP)数据更易受数据流量影响和入口数据流量过大的原因,以及帧中继不同类型业务发送优先级的对应关系,通过接入限速控制数据流量,并根据不同用户数据特点与传输要求设置相应优先级,问题得到有效解决。实际应用表明,基于限速策略和区分发送优先级的解决措施能够有效防止不同业务相互间的影响,确保重要数据稳定可靠地传输,可为解决其他类似问题提供参考。     

基于LabVIEW的车灯日行灯自动化测试

设计了一种汽车日行灯自动测试系统。该系统主要由工业计算机、高性能数字摄像机硬件平台和LabVIEW软件平台两部分构成。采用摄像机拍摄一张标准日行灯图片作为模板,对待测试的日行灯进行图像采集且与模板比较。由模板定位出测试窗口,然后对各个窗口进行RGB模型分析和HSL模型分析,从而完成对日行灯颜色和明度的检测。此外,系统可同时对多个窗口进行分析,并可实时显示测试画面和测试结果,一次测试时间不超过6 s,且准确度和重复性较好,已在实际中应用。     

传统运营商与虚拟运营商合作模式选择及系统实现方案研究

根据工业和信息化部《关于开展移动通信转售业务试点工作的通告》,电信业下一步的工作重点是发展电信转售业务,运营商可以利用虚拟运营商营销手段多样化的优势,将话音、流量套餐进行批发,再经虚拟运营商与自营商品及服务进行捆绑销售,从而有效拓展传统运营商市场销售渠道。针对电信运营商与虚拟运营商的合作模式、业务发展模式进行比较,提出优化合作建议,并给出可行的组网方案。     

国内外移动虚拟运营商业务模式与经验探讨

首先介绍了移动虚拟运营商的业务特点,然后阐述了虚拟运营商的几种业务模式和基础运营商合作策略以及基于特定业务模式下的虚拟运营商网络架构和特点,最后结合国内电信业现状和国外成功的虚拟运营商案例,为国内虚拟运营商的业务发展归纳出若干经验并提出相关建议。     

Petra,Osiris, and Molinspiration Together as a Guide in Drug Design: Predictions and Correlation Structure/Antibacterial Activity Relationships of New N-Sulfonyl Monocyclic β-Lactams

We report in this article the design and calculated molecular properties of 18 new mono-cyclic β-lactams 4–21, on the basis of one hypothetical antibacterial pharmacophore structure designed to interact with both of Gram-positive bacteria and Gram-negative bacteria. The in vitro biological evaluation of these compounds allowed us to point out new potential non-nucleoside hits, with MIC values in the range of 2–8 μg/mL active against Staphylococcus aureus, Bacillus subtilis, Escherichia coli, and Pseudomonas aeruginosa. A correlation structure/antibacterial activities relationship of these monocyclic β-lactams is described.

Supplemental materials are available for this article. Go to the publisher's online edition of Phosphorus, Sulfur, and Silicon and the Related Elements to view the free supplemental file.     

Identification of potential HIV-1 integrase strand transfer inhibitors: In silico virtual screening and QM/MM docking studies

HIV-1 integrase (IN) is a retroviral enzyme that catalyses integration of the reverse-transcribed viral DNA into the host genome, which is necessary for efficient viral replication. In this study, we have performed an in silico virtual screening for the identification of potential HIV-1 IN strand transfer (ST) inhibitors. Pharmacophore modelling and atom-based 3D-QSAR studies were carried out for a series of compounds belonging to 3-Hydroxypyrimidine-2,4-diones. Based on the ligand-based pharmacophore model, we obtained a five-point pharmacophore with two hydrogen bond acceptors (A), one hydrogen bond donor (D), one hydrophobic group (H) and one aromatic ring (R) as pharmacophoric features. The pharmacophore hypothesis AADHR was used as a 3D query in a sequential virtual screening study to filter small molecule databases Maybridge, ChemBridge and Asinex. Hits matching with pharmacophore hypothesis AADHR were retrieved and passed progressively through Lipinski’s rule of five filtering, molecular docking and hierarchical clustering. The five compounds with best hits with novel and diverse chemotypes were subjected to QM/MM docking, which showed improved docking accuracy. We further performed molecular dynamics simulation and found three compounds that form stable interactions with key residues. These compounds could be used as a leads for further drug development and rational design of HIV-1 IN inhibitors.     

Theory of docking scores and its application to a customizable scoring function

In general, the docking scoring tends to have a size dependence related to the ranking of compounds. In this paper, we describe a novel method of parameter optimization for docking scores which reduce the size dependence and can efficiently discriminate active compounds from chemical databases. This method is based on a simplified theoretical model of docking scores which enables us to utilize large amounts of data of known active and inactive compounds for a particular target without requiring large computational resources or a complicated procedure. This method is useful for making scoring functions for the identification of novel scaffolds using the knowledge of active compounds for a particular target or a customized scoring function for an interesting family of drug targets.     

Pharmacophore modelling,molecular docking and virtual screening for EGFR (HER 1) tyrosine kinase inhibitors

A pharmacophore model has been developed using diverse classes of epidermal growth factor receptor (EGFR) tyrosine kinase (TK) inhibitors useful in the treatment of human tumours. Among the top 10 generated hypotheses, the second hypothesis, with one hydrogen bond acceptor, one ring aromatic and three hydrophobic features, was found to be the best on the basis of Cat Scramble validation as well as test set prediction (r _training?=?0.89, r _test?=?0.82). The model also maps well to the external test set molecules as well as clinically active molecules and corroborates the docking studies. Finally, 10 hits were identified as potential leads after virtual screening of ZINC database for EGFR TK inhibition. The study may facilitate the designing and discovery of novel EGFR TK inhibitors.