削弱或抑制抗氧剂、光稳定剂作用的有关因素

介绍了削弱或抑制抗氧剂、光稳定剂作用的常见因素及实例，分析了防老化塑料制品发生提前老化现象的可能性和原因。     

孵化机温度模糊控制器设计与仿真

温度控制的精度和稳定性是孵化机系统急需解决的关键技术,系统中的被控对象不能建立精确的数学模型。为了提高温度控制精度和稳定性,采用模糊控制方法设计模糊控制器并通过Matlab进行仿真。对模糊规则的仿真说明规则较合理,对系统的仿真表明模糊控制器超调量较小,调节时间大约为20秒,系统稳定。     

浅谈中职计算机课程中如何创设问题情境

在教学中,创设问题情境是一种科学有效的教学手段。通过对一堂计算机基础课《PPT动画路径》的分析,探究如何在中职计算机课程中创设问题情境,提高课堂教学实效性,并对容易出现的问题进行简单的阐述。     

遗传算法理论及其应用研究进展

首先阐述遗传算法的原理和求解问题的一般过程;然后讨论了近年来从遗传算子、控制参数等方面对遗传算法的改进,并对遗传算法在计算机科学与人工智能、自动控制以及组合优化等领域的应用进行陈述;最后评述了遗传算法未来的研究方向和主要研究内容。     

加快结构调整，促进经济发展方式转变

加快结构调整、促进经济发展方式转变是关系国民经济全局紧迫而重大的战略任务。本文以严谨的逻辑和充分的事实依据的基础,对成都市加快结构调整,促进经济发展方式转变的意义,方向和路径等进行了阐述。     

A macro-meso constitutive law for concrete having imperfect interface and nonlinear matrix

The overall behavior of concrete depends on its meso structures such as aggregate shape, interface status, and mortar matrix property. The two key meso structure characters of concrete, bond status of interface and nonlinear property of matrix, are considered in focus. The variational structure principle is adopted to establish the macro-meso constitutive law of concrete. Specially, a linear reference composite material is selected to make its effective behavior approach the nonlinear overall behavior of concrete. And the overall property of linear reference composite can be estimated by classical estimation method such as self-consistent estimates method and Mori-Tanaka method. This variational structure method involves an optimum problem ultimately. Finally, the macro-meso constitutive law of concrete is established by optimizing the shear modulus of matrix of the linear reference composite. By analyzing the constitutive relation of concrete established, we find that the brittleness of concrete stems from the imperfect interface and the shear dilation property of concrete comes from the micro holes contained in concrete. Supported by the National Natural Science Foundation of China (Grant Nos. 50679022, 90510017, 50539090) and National Basic Research Program of China (Grant No. 2007CB714104)     

微博营销的实践与思考

微博作为新兴的传播交流媒介以其传播速度快、互动性强、即时收发等优势得到迅速的普及,促使网络营销活动的发展步伐不断加速。本文提出,要加快企业的营销活动变革的步伐,在实践的基础上,分析了微博营销的特点,提出了运用的主要方法,归纳了企业实施微博营销后所取得的效果,以较好地适应网络时代消费者更快、更省、更便捷的消费需求。     

基于3G传输网络的道路气象预警系统

利用传感技术为监测手段开发一套基于3G传输网络的道路气象预警系统,使道路管理部门精确掌握气象资料和天气预报,并根据各路段的地形及气候特点,结合路段交通状况,制定各自的应急预案,以保证道路的行车安全和顺畅。此系统对道路沿线气象状况进行监测、分析并采取有效的应急预案,对保障道路过往车辆和人身财产安全有着积极作用。     

LogGAN: a Log-level Generative Adversarial Network for Anomaly Detection using Permutation Event Modeling

Information Systems Frontiers - System logs that trace system states and record valuable events comprise a significant component of any computer system in our daily life. Each log contains...     

A Performance Evaluation of Classic Convolutional Neural Networks for 2D and 3D Palmprint and Palm Vein Recognition

Palmprint recognition and palm vein recognition are two emerging biometrics technologies. In the past two decades, many traditional methods have been proposed for palmprint recognition and palm vein recognition, and have achieved impressive results. However, the research on deep learning-based palmprint recognition and palm vein recognition is still very preliminary. In this paper, in order to investigate the problem of deep learning based 2D and 3D palmprint recognition and palm vein recognition in-depth, we conduct performance evaluation of seventeen representative and classic convolutional neural networks (CNNs) on one 3D palmprint database, five 2D palmprint databases and two palm vein databases. A lot of experiments have been carried out in the conditions of different network structures, different learning rates, and different numbers of network layers. We have also conducted experiments on both separate data mode and mixed data mode. Experimental results show that these classic CNNs can achieve promising recognition results, and the recognition performance of recently proposed CNNs is better. Particularly, among classic CNNs, one of the recently proposed classic CNNs, i.e., EfficientNet achieves the best recognition accuracy. However, the recognition performance of classic CNNs is still slightly worse than that of some traditional recognition methods.