Genetic algorithm and self organizing map based fuzzy hybrid intelligent method for color image segmentation

The grouping of pixels based on some similarity criteria is called image segmentation. In this paper the problem of color image segmentation is considered as a clustering problem and a fixed length genetic algorithm (GA) is used to handle it. The effectiveness of GA depends on the objective function (fitness function) and the initialization of the population. A new objective function is proposed to evaluate the quality of the segmentation and the fitness of a chromosome. In fixed length genetic algorithm the chromosomes have same length, which is normally set by the user. Here, a self organizing map (SOM) is used to determine the number of segments in order to set the length of a chromosome automatically. An opposition based strategy is adopted for the initialization of the population in order to diversify the search process. In some cases the proposed method makes the small regions of an image as separate segments, which leads to noisy segmentation. A simple ad hoc mechanism is devised to refine the noisy segmentation. The qualitative and quantitative results show that the proposed method performs better than the state-of-the-art methods.     

Automated classification of simulated wind field patterns from multiphysics ensemble forecasts

In this study, we have proposed an automated classification approach to identify meaningful patterns in wind field data. Utilizing an extensive simulated wind database, we have demonstrated that the proposed approach can identify low‐level jets, near‐uniform profiles, and other patterns in a reliable manner. We have studied the dependence of these wind profile patterns on locations (eg, offshore vs onshore), seasons, and diurnal cycles. Furthermore, we have found that the probability distributions of some of the patterns depend on the underlying planetary boundary layer schemes in a significant way. The future potential of the proposed approach in wind resource assessment and, more generally, in mesoscale model parameterization improvement is touched upon in this paper.     

Herding Cats

Abstract

With the rapid growth in the number of electronic resources available via the Internet, a variety of methods have been developed to organize and access these objects. Librarians, scholars, and computing engineers have each applied their own techniques to the process. This article examines the strengths and weaknesses of organizational systems developed by each group. The appropriateness of including remotely accessed electronic resources as part of a library collection is discussed, and the success of traditional cataloging methods and structures for describing remote electronic resources is examined. These traditional cataloging techniques are compared to other methods for describing, organizing, and accessing electronic documents such as TEI headers, browsing lists, and robot generated search indexes. For Metacatalogs of the future to be successful tools for organizing and accessing all information, methods must be developed to utilize all existing organizational tools by layering, exchanging, and translating data within a loosely-coupled organizational system.     

Adopting organizational virtualization in B2B firms: An empirical study in Singapore

We empirically tested a parsimonious model that incorporates cost-benefit analysis/transaction cost theory, institutional theory, and organizational capability-based theory to predict organizational adoption of IT-facilitated virtualization in an Asian context. Virtualization implies the use of IT and communication technology by organizations in managing their interactions and key business operations with stakeholders, such as customers, suppliers and employees. Our research extends existing literature by using organizational structure adoption theories. The study should provide insights into the salient adoption issues of Asian firms. A survey was conducted of B2B organizations in Singapore. Results indicated that an increase in the level of net perceived benefits, external influences, and organizational capabilities had a positive effect on organizational decision makers’ intention to use virtualization. In particular, external influences were found to be the most important antecedents of intention to adopt virtualization in B2B organizations in Singapore.     

通信装备组网方案自动生成及关键技术研究

介绍了组网方案自动生成在通信装备组网仿真训练系统中的作用;总结了专家系统在自动配置系统中运用的研究现状;提出了通信装备组网方案自动生成系统的总体框架和主要构成模块,并对其涉及的关键技术进行了分析和研究,结合系统特点指出了下一步研究方向,从理论上论述了系统实现的可行性。     

多阶段车牌定位算法

车牌定位是车牌识别系统中的关键环节.针对车牌图像区域丰富的边缘信息以及独特的特征,提出一种实用而有效的车牌定位方法.首先,将原始图像转换到HSI空间上,利用图像的字符边缘特征信息和数学形态学操作对目标区域进行粗定位;然后,根据车牌固有的特征定义4种不同的特征值,通过自组织神经网络的训练,实现对车牌区域的精确定位.最后,对80幅彩色图像进行测试,其有效率可达96.25%.     

面向个人自组织网络的硬件资源管理

随着各类智能终端的普及,多屏互动等跨设备使用硬件资源的应用不断涌现,对硬件资源管理的跨平台性和交互扩展性提出了更高的要求.然而,当前针对硬件资源共享的应用大多是缺少交互性的跨设备投影镜像技术,或者只是相互独立的简单应用,面向的平台、硬件资源类型单一,难以灵活有效地应对新增需求.针对这一问题,研究了个人自组织网络环境下多设备的硬件资源（键盘、鼠标、摄像头等）的管理调配,并提出一个具有良好跨平台性、可扩展性的应用框架,使得设备能够像使用本机硬件一样使用其他设备上的硬件资源,借此方便用户对其多个设备进行管理控制.该框架包括设备间通信和硬件资源管理两层,前者提供信息传输服务,保证实时通信,后者负责管理可以访问到所有硬件资源,并提供资源申请、使用和状态改变通知等功能,极大地方便了跨设备应用的开发.     

一种自适应模糊控制器

对文 [1]提出的模糊自适应控制算法提出改进方案 ,根据改进方案 ,控制算法可以去掉监督项 ,同时可加入一辅助控制项以提高动态特性 .经证明 ,算法仍然满足全局稳定 .为保证闭环渐近稳定性条件 ,文中提出一种模糊控制器结构自组织学习方法 .仿真结果显示 ,与文 [1]算法相比 ,本文算法更能保证闭环渐近稳定性 ,具有更好的动态性能 .     

自组织RBF 神经网络对驾驶员主动安全性因素的辨识

利用自组织RBF神经网络对驾驶员主动安全性因素进行辨识。对网络进行训练时,首先由改进FCM算法根据输入样本内部关系确定RBF参数并通过一个聚类合理性聚类控制聚类个数,然后根据网络映射性能对RBF参数细调并对输出权值学习。利用本文给出的网络成功地对驾驶员的熟练程度进行了识别。