含病变肝脏CT图像三角形表面重构的实现

本文对含病变肝脏ＣＴ图像进行了特征提取,并利用一种叠代式三角形重构算法,重构出肝脏及其中病变的３－Ｄ表面,重构效果较为满意。     

轨道交通站台安全门控制系统

轨道交通站台安全门作为公共安全防护设备,广泛应用在地铁、轻轨等轨道交通中的高架和地面站台上,具有节能、环保和安全功能。因此它在设计、制造、安装过程中需要充分考虑其自身的可靠性及乘客安全、行车安全。本文将对安全门系统的网络、控制及软件三方面进行详细论述。     

多层关系数据库的函数依赖推理控制

多层关系数据库是解决安全数据库中多实例问题的良好方法。防止未授权的用户从可读取的安全等级较低的数据中推理出安全等级较高的数据是多层关系数据库达到安全的必要保证。由于数据库中元组、属性、元素之间的相互关联性,推理问题成为安全数据库的重要内容。文章以数据库中的函数依赖来检查多层关系数据库的各个属性的安全等级,并在此基础上调整各个属性的安全等级,以保证数据的安全性。     

Segmentation of the carotid intima-media region in B-mode ultrasound images

This paper proposes a new approach for the segmentation of both near-end and far-end intima-media regions of the common carotid artery in ultrasound images. The method requires minimal user interaction and is able to segment the near-end wall in arteries with large, hypoechogenic and irregular plaques, issues usually not considered previously due to the increased segmentation difficulty.     

Should I e-collaborate with this group? A multilevel model of usage intentions

The use of online collaboration tools for virtual teamwork has been studied extensively, but mainly at the individual-level. We decided to examine the effect of macro-level factors (i.e., team attributes) and applied hierarchical linear modeling analysis to a sample of data collected from 96 individuals nested in 34 virtual teams. Our results suggested that the development of behavioral e-collaboration intentions by individual virtual team members was affected by their perceptions about the system, as described by individual-level IT use theories, and macro-level factors pertaining to the team. The collaboration technology was perceived to be less useful when employed to communicate with social loafers; and collective social loafing negatively influenced the teams’ potency assessments. After controlling for individual-level perceptions of system usefulness, team potency augmented team members’ intentions to use the online collaboration technology with similar teams. It also improved team performance.     

Amoeba-based Chaotic Neurocomputing: Combinatorial Optimization by Coupled Biological Oscillators

We demonstrate a neurocomputing system incorporating an amoeboid unicellular organism, the true slime mold Physarum, known to exhibit rich spatiotemporal oscillatory behavior and sophisticated computational capabilities. Introducing optical feedback applied according to a recurrent neural network model, we induce that the amoeba’s photosensitive branches grow or degenerate in a network-patterned chamber in search of an optimal solution to the traveling salesman problem (TSP), where the solution corresponds to the amoeba’s stably relaxed configuration (shape), in which its body area is maximized while the risk of being illuminated is minimized.Our system is capable of reaching the optimal solution of the four-city TSP with a high probability. Moreover, our system can find more than one solution, because the amoeba can coordinate its branches’ oscillatory movements to perform transitional behavior among multiple stable configurations by spontaneously switching between the stabilizing and destabilizing modes. We show that the optimization capability is attributable to the amoeba’s fluctuating oscillatory movements. Applying several surrogate data analyses, we present results suggesting that the amoeba can be characterized as a set of coupled chaotic oscillators.

多级安全关系数据库系统审计功能的设计

本文简要地介绍了多级安全关系数据库系统和计算机系统的审计，强调指出了多级安全关系数据库系统审计功能的设计必须遵循多级安全策略，并就审计粒度的选择，审计开关和阈值的设置，审计日志的维护和查询等方面的设计作了详细的讨论。     

面向ASP分布式服务模式的多级用户控制

针对四川区域中小制造业用户群对ASP的需求特点,分析了ASP分布式服务模式的原理及其三级异构平台间的功能交互特性。对三级异构服务平台体系中的多级用户角色的要求和特点进行了研究。提出了基于Web Service的多级用户管理和控制策略,并进行了详细设计和实现,其结果在区域网络化制造ASP服务三级服务平台得到实际应用。     

Nucleus and cytoplast contour detector from a cervical smear image

In this paper, a nucleus and cytoplast contour detector (NCC detector) is presented to automatically detect the cytoplast and nucleus contours of a cell in a cervical smear image. The NCC detector uses the adaptable threshold decision (ATD) method to separate the cell from the cervical smear image, and then uses the maximal gray-level-gradient-difference (MGLGD) method, proposed in this paper, to extract the nucleus from the cell. The experimental results show that the NCC detector is superior to two existing methods, the gradient vector flow-active contour model (GVF-ACM) and the edge enhancement nucleus and cytoplast contour (ENNCC) detector, in segmenting the cytoplast and nucleus of a cell.