集成Flex与AJAX的RIA设计与实现

富客户端技术(RIA)是近几年Web开发技术研究的热点,而Flex技术是RIA的代表技术之一。分析Flex和AJAX技术,通过介绍Flex在创建Web应用上的优势,采用Flex-AJAXBridge技术集成Flex与AJAX创建RIA应用。     

基于模糊神经网络的服装号型推荐专家系统

该文提出了基于模糊神经网络的服装号型推荐专家系统,将专家系统、模糊神经网络的计算优势与服装号型结合实现面向个体尺寸的服装号型推荐,通过定义方案矩阵、权重矩阵和匹配度矩阵规范了服装号型的推荐流程。最后针对测量样本通过对5·4系列女长袖衬衫的号型推荐,验证了该方法可行性。该方法具有计算简单和结果准确的优点,能快速地为顾客在线购买服装提供全面、客观、科学的决策参考,具有重要的研究价值和广泛的应用前景。     

三表远传系统中信号检测电路设计与应用

文章介绍了三表远传系统中煤气表、水表信号的干簧管传感器型电路检测与处理方法,具有电路简单、价格低廉、性能可靠的特点;同时简要介绍了利用AD7757进行电能信号检测的应用电路。     

一种基于支持向量机的模糊施肥预测方法研究

提出了一种利用支持向量机(SVM)学习算法提取模糊规则进而实现施肥预测的方法.对于农业施肥中常用的正交实验法,由于其数据均衡分散使得曲线拟合的回归预测方法效果不佳.提出了一种利用SVM学习样本数据,再利用隶属度来提取模糊规则,通过阈值和可信度来控制规则的激活和准确性的预测方法,这一方法不仅避免了回归预测所产生的误差,并且模糊规则更具有实际意义,从而大大提高了知识获取的能力.     

基于位承诺的数字证书敏感信息保护

目前数字证书缺少敏感信息保护机制,容易泄露用户的隐私信息.针对数字证书的敏感信息泄露问题,采用基于单向函数的位承诺协议实现数字证书中敏感信息的隐藏和选择性披露,详细讨论了基于位承诺的证书申请、证书颁发及证书查询验证过程,并分析了位承诺协议的安全性和效率.     

飞机防滑刹车检测系统设计

防滑刹车系统是飞机的重要部分之一,它控制着飞机降落、着陆和减速的全过程;为了提高飞机防滑刹车系统检测的自动化程度、效率和检测精度,使用专用的检测设备是十分必要的;该系统采用独特的设计方法完成了对整个复杂系统的检测,以计算机为核心的方案,使得检测系统的智能化程度和灵活性更好;应用结果表明,该检测系统运行稳定可靠,检测精度高,能满足现有的检测需求。     

State of the Art of Molecular Visualization in Immersive Virtual Environments

Visualization plays a crucial role in molecular and structural biology. It has been successfully applied to a variety of tasks, including structural analysis and interactive drug design. While some of the challenges in this area can be overcome with more advanced visualization and interaction techniques, others are challenging primarily due to the limitations of the hardware devices used to interact with the visualized content. Consequently, visualization researchers are increasingly trying to take advantage of new technologies to facilitate the work of domain scientists. Some typical problems associated with classic 2D interfaces, such as regular desktop computers, are a lack of natural spatial understanding and interaction, and a limited field of view. These problems could be solved by immersive virtual environments and corresponding hardware, such as virtual reality head-mounted displays. Thus, researchers are investigating the potential of immersive virtual environments in the field of molecular visualization. There is already a body of work ranging from educational approaches to protein visualization to applications for collaborative drug design. This review focuses on molecular visualization in immersive virtual environments as a whole, aiming to cover this area comprehensively. We divide the existing papers into different groups based on their application areas, and types of tasks performed. Furthermore, we also include a list of available software tools. We conclude the report with a discussion of potential future research on molecular visualization in immersive environments.     

Poly(pentahydropyrimidine)-Based Hybrid Hydrogel with Synergistic Antibacterial and Pro-Angiogenic Ability for the Therapy of Diabetic Foot Ulcers

Bacterial infection and impaired angiogenesis make the treatment of diabetic foot ulcers (DFU) extremely challenging. Cationic polymers are expected to treat infected wounds due to their excellent antibacterial properties, but still, it is difficult to meet the therapeutic needs of pro-angiogenesis and anti-infections due to their simple construction units and outmoded synthesis methods. Herein, a cationic poly(pentahydropyrimidine) (PPHP) library with strong modifiability is synthesized to construct a hybrid hydrogel with synergistic therapeutic effects for the treatment of infected DFUs. It is found that the as-synthesized hybrid hydrogel can up-regulate angiogenesis-related gene (HIF-1, VEGF, and bFGFR/bFGF) expression and targeted disruption of bacterial cell membranes, which finally promotes the healing of infected DFU (wound healing rate: 92%) within 10 days. This hydrogel, thus, holds great promise in developing new strategies to significantly enhance the treatment of DFU and other bacterial-infected pathological diagnoses.     

An adaptive unscented Kalman filter approach to secure state estimation for wireless sensor networks

Wireless sensor networks are vulnerable to false data injection attacks, which may mislead the state estimation. To solve this problem, this paper presents a chi-square test-based adaptive secure state estimation (CTASSE) algorithm for state estimation and attack detection. Taking advantage of Kalman filters, attack signal together with process noise or measurement noise are described as total white Gaussian noise with uncertain covariance matrix. The chi-square test method is used in the adaptation of the total noise covariance and attack detection. Then, a standard adaptive unscented Kalman filter (UKF) is used for the state estimation. Finally, simulation results show that the proposed CTASSE algorithm performs better than other UKFs in state estimation and is also effective in real-time attack detection.