分布式同步协同包装纸盒CAD/CAM系统的设计与实现

采用Java技术开发了基于Web的分布式同步协同包装纸盒CAD／CAM系统．研究了纸盒CAD／CAM系统的体系结构、系统功能的分配、分布式同步协同设计、并发控制、协同感知、负载均衡、3D可视化技术、参数化设计以及系统安全性的保证等关键技术．  

基于Web的分子结构可视化系统的Java解决方案

针对医药、化学分子结构可视化研究、计算机辅助教学的需求,研究了利用Java技术开发基于Web的分子结构可视化系统的解决方案。论文介绍了系统的功能模块构成、系统的三层体系结构,并着重介绍了实现系统的关键技术,主要包括分子结构模型库设计与实现、平面模型显示及检索模块的设计与实现、真实感分子图形显示等。所开发的B／S结构的可视化系统,使得本地和远程用户可以在客户端对二维和三维分子结构进行检索和编辑,对具有数据库写权限的用户,还可以将新的分子结构添加入库。在该系统中,用户只能与中间层服务器通信,中间层服务器负责将各种请求转发给后台服务器,数据库对用户不可见,从而确保了数据安全性。本文所述系统的开发对于医药、化工方面的信息化和计算机辅助教学具有积极的意义,对类似信息系统的开发也有借鉴作用。  

Reconstruction of measurements in state estimation strategy against deception attacks for cyber physical systems

Without the known state equation, a new state estimation strategy is designed to be against malicious attacks for cyber physical systems. Inspired by the idea of data reconstruction, the compressive sensing (CS) is applied to reconstruction of residual measurements after the detection and identification scheme based on the Markov graph of the system state, which increases the resilience of state estimation strategy against deception attacks. First, the observability analysis is introduced to decide the triggering time of the measurement reconstruction and the damage level from attacks. In particular, the dictionary learning is proposed to form the over completed dictionary by K singular value decomposition (K SVD), which is produced adaptively according to the characteristics of the measurement data. In addition, due to the irregularity of residual measurements, a sampling matrix is designed as the measurement matrix. Finally, the simulation experiments are performed on 6 bus power system. Results show that the reconstruction of measurements is completed well by the proposed reconstruction method, and the corresponding effects are better than reconstruction scheme based on the joint dictionary and the traditional Gauss or Bernoulli random matrix respectively. Especially, when only 29% available clean measurements are left, performance of the proposed strategy is still extraordinary, which reflects generality for five kinds of recovery algorithms.