基于XML的智能界面自适应策略

文章提出了一种基于XML的智能界面的设计方法。这种界面易于扩展，并且能够实时地处理多个信息。它采用一种自适应策略，此策略容易满足不同应用域和使用者要求，略加修改就可适应不同的应用。     

智能交通感知新范式：面向元宇宙的交通标志检测架构

交通标志检测对智能交通系统和智能驾驶的安全稳定运行具有重要作用。数据分布不平衡、场景单一会对模型性能造成较大影响,而建立一个完备的真实交通场景数据集需要昂贵的时间成本和人工成本。基于此,该文提出一个面向元宇宙的交通标志检测新范式以缓解现有方法对真实数据的依赖。首先,通过建立元宇宙和物理世界之间的场景映射和模型映射,实现检测算法在虚实世界之间的高效运行。元宇宙作为一个虚拟化的数字世界,能够基于物理世界完成自定义场景构建,为模型提供海量多样的虚拟场景数据。同时,该文结合知识蒸馏和均值教师模型建立模型映射,应对元宇宙和物理世界之间存在的数据差异问题。其次,为进一步提高元宇宙下的训练模型对真实驾驶环境的适应性,该文提出启发式注意力机制,通过对特征的定位和学习来提高检测模型的泛化能力。所提架构在CURE-TSD, KITTI, VKITTI数据集上进行实验验证。实验结果表明,所提面向元宇宙的交通标志检测器在物理世界具有优异的检测效果而不依赖大量真实场景,检测准确率达到89.7%,高于近年来其他检测方法。     

智能巡检机器人测温应用及案例

介绍了变电站智能巡检机器人软件和硬件系统,通过一次对流变端接部位发热消缺的案例,介绍了智能巡检机器人在500kV交流变电站中的应用,其中包括测温巡检任务的配置、通过实时窗口和数据库分析设备温升情况.最后比较了智能巡检机器人巡检方式较传统巡检方式的优点并阐述了意义.     

浅析通信建筑中玻璃幕墙的节能

在分析热对流、传导和辐射等热力学传导要素的基础上,介绍了中空玻璃、真空玻璃、吸热玻璃、热反射镀膜玻璃、低辐射镀膜玻璃、智能幕墙层等的节能效果,最后给出了玻璃幕墙上窗的结构形式及选材.     

广西移动智能网业务发展分析

从广西智能网业务的市场需求和存在问题入手，介绍了广西智能网业务的定位，并对现有业务在智能网上与BOSS上开展进行了比较。     

基于智能化高压电力设备的状态监控系统设计

本文分析了电力设备的状态监控与诊断技术,提出了状态监控与诊断的构成框架,给出了基于状态监控与诊断的智能化高压电力设备的测试方法.     

数字交流毫伏表的设计与实现

本文介绍了一种基于单片机和测量电压真有效值方案设计的智能数字交流毫伏表.它能精确测量任意波形的低频模拟周期信号并同时显示其有效值和分贝值.具有智能量程转换功能.     

Using Automated Negotiation for Grid Services

The popularity of grid services has widened their application to numerous domains and increased the utilization of computational resources. In order to create more incentives for the resources owners to lease their resources and prevent users from wasting the resources, the introduction of a market-oriented grid is inevitable. However, the issues for the negotiation between service provider and consumer over the supply and demand of resources can be complex, with highly interdependent issues. In this research, a simulated automated negotiation mechanism including a co-evolutionary mechanism and a modified game theory approach is proposed, to assist them in reaching an agreement over the conflicting issues. In the proposed architecture, the co-evolution process is able to reduce the multiple dimensional search space into a two-dimension search space and identify the appropriate negotiation strategies for the negotiating agents to form a payoff matrix which can be used for the game theory related stage of their interaction. The multiple stage negotiation process is introduced to improve the negotiation result. In this paper, an application which requires a large amount of computational resources to process the data generated from mobile devises is used to demonstrate that the proposed system is able to resolve the conflicts and obtain a valid solution.     

An evolutionary approach for personalization of content delivery in e-learning systems based on learner behavior forcing compatibility of learning materials

This paper presents an evolutionary approach for personalizing learning content for individual learners from a very large database in an e-learning system. The proposed work improves the quality of the self-learning process in an adaptive e-learning system by providing the most suitable content for individual learners. The paper depicts the results of personalizing the learning process by tuning the compatibility level of the learning objects with respect to the learning style of the learner, the complexity level of the learning objects with respect to the knowledge level of the learner and the interactivity level of the learner based on the satisfaction level of the learner during the learning process using a modified form of genetic algorithm named as Compatible Genetic Algorithm (CGA). The proposed work improves the efficiency of the genetic algorithms by forcing compatibility in the learning objects which has not been implemented so far in existing systems. Forcing compatibility into the search space not only helps to reduce the search space but also fills the search space with better chromosomes. The results show improvement in scores of the learners and also in their satisfaction levels. A comparison with the standard algorithms shows improvement in execution time, number of executing generations and fitness values. The results indicate that personalization of content delivery based on behavioral traits of learners leads to better learning.     

一种基于地图爬虫的场景边界识别与质量监控方法

本文提出了一种基于地图爬虫的场景边界识别与质量监控方法，参考互联网爬虫技术实现场景边界自动识别，依靠“MR+OTT”和“帕累托法则”实现场景资源信息自动更新，在此基础上，关联网优大数据实现重点场景网络质量的智能预警监控。在某市进行试点，方案上线后自动识别场景4361处，实现场景小区自动更新，初次评估覆盖率92.85%，经过两个月的整治，覆盖率提升至94.22%，弱覆盖小区占比下降4.72PP。