一种基于图像识别的高性能混沌特性判别算法

利用混沌阵子可以检测强噪声背景下极其微弱的周期信号。该方法应用中的关键问题是混沌特性的判别。提出了一种新的基于图像识别的混沌特性判别方法,该方法需要的存储量小,算法简单易行,尤其适合系统资源受限的场合,比如嵌入式系统。阐述了该混沌特性判别算法的原理,给出了一个基于此方法的完整判别程序流程。计算机仿真结果表明,该方法用于Duffing信号幅值检测系统是有效的。     

人工蜂群算法的一种改进

人工蜂群算法作为一种新生代的优化算法,近年来在众多科学领域中表现出一定的优势,但是其收敛速度并不高效,并且容易过早地陷入局部最优。首先通过对适应度选择进行改进,提高算法的收敛速度,同时结合模拟退火算法,一定程度上避免过早陷入局部最优。最后用一组基准函数进行实验,证明改进后的人工蜂群算法有更好的优化性能。     

A systematic literature review on intelligent automation: Aligning concepts from theory,practice, and future perspectives

With the recent developments in robotic process automation (RPA) and artificial intelligence (AI), academics and industrial practitioners are now pursuing robust and adaptive decision making (DM) in real-life engineering applications and automated business workflows and processes to accommodate context awareness, adaptation to environment and customisation. The emerging research via RPA, AI and soft computing offers sophisticated decision analysis methods, data-driven DM and scenario analysis with regard to the consideration of decision choices and provides benefits in numerous engineering applications. The emerging intelligent automation (IA) – the combination of RPA, AI and soft computing – can further transcend traditional DM to achieve unprecedented levels of operational efficiency, decision quality and system reliability. RPA allows an intelligent agent to eliminate operational errors and mimic manual routine decisions, including rule-based, well-structured and repetitive decisions involving enormous data, in a digital system, while AI has the cognitive capabilities to emulate the actions of human behaviour and process unstructured data via machine learning, natural language processing and image processing. Insights from IA drive new opportunities in providing automated DM processes, fault diagnosis, knowledge elicitation and solutions under complex decision environments with the presence of context-aware data, uncertainty and customer preferences. This sophisticated review attempts to deliver the relevant research directions and applications from the selected literature to the readers and address the key contributions of the selected literature, IA’s benefits, implementation considerations, challenges and potential IA applications to foster the relevant research development in the domain.     

基于循环神经网络的电信行业容量数据预测方法

在电信运维的容量预测过程中,存在容量指标和部署业务种类繁多的问题。现有研究未考虑指标数据类型的差异,对所有类型的数据使用同种预测方法,使得预测效果参差不齐。为了提升指标预测效率,提出一种指标数据类型分类方法,利用该方法将数据类型分为趋势型、周期型和不规则型。针对其中的周期型数据预测,提出基于双向循环神经网络（BiRNN）的周期型容量指标预测模型,记作BiRNN-BiLSTM-BI。首先,为分析容量数据的周期特征,提出一种忙闲分布分析算法;其次,搭建循环神经网络（RNN）模型,该模型包含一层BiRNN和一层双向长短时记忆网络（BiLSTM）;最后,充分利用系统忙闲分布信息,对BiRNN输出的结果进行优化。与传统的三次指数平滑、差分自回归移动平均（ARIMA）模型和反向传播（BP）神经网络模型进行比较的实验结果表明,在统一日志数据集和分布式缓存数据集上,提出的BiRNN-BiLSTM-BI模型的均方误差（MSE）分别比对比模型中表现最优的模型降低了15.16%和45.67%,可见预测准确率得到了很大程度的提升。     

基于人工蜂群与模糊C均值的自适应小波变换的噪声图像分割

针对传统模糊C均值（FCM）聚类算法在处理噪声图像时易受到噪声影响的问题,提出了基于FCM的小波域特征增强的噪声图像分割方法。首先,将噪声图像进行二维小波分解;其次,对近似系数进行边缘增强,同时利用人工蜂群（ABC）优化算法对细节系数进行阈值处理,并将处理后的系数进行小波重构;最后,对重构后的图片使用FCM算法来进行图像分割。选取5幅典型的灰度图像,分别添加高斯噪声和椒盐噪声,使用多种方法进行分割,以分割后图像的峰值信噪比（PSNR）和误分率（ME）作为性能指标,实验结果表明,所提方法分割后的图片相较于传统FCM聚类算法分割方法和粒子群优化（PSO）分割方法分割后的图片在PSNR上最多分别有281%和54%的提升,在ME上最多分别有55%和41%的降低。可见所提出的分割方法较好地保留了图像边缘纹理信息,其抗噪性能与分割性能得到了提升。     

有遮挡环境下的人脸识别方法综述

随着人脸识别应用领域的逐渐扩大,有遮挡环境下的人脸识别面临着一定的技术挑战。深度学习方法由于其具有强大的学习能力,成为解决有遮挡环境下的人脸识别问题的一种较好的解决方案,但仍面临诸多待解决的问题。减少遮挡对人脸识别算法带来的性能影响是该领域的重点和难点问题之一。从模型、算法和数据集的角度分析了近年来相关研究进展;对比了不同算法的性能结构、优缺点以及存在的问题;探讨了未来可能的研究方向。     

采用4-WFRFT和人工噪声的变换域通信物理层安全传输

为了提高变换域通信(TDCS)信号的物理层安全性,提出了一种基于4项加权分数阶傅里叶变换(4-WFRFT)和人工噪声的TDCS信号加密方式。首先利用4-WFRFT代替传统TDCS中的DFT/IDFT,改变了TDCS信号的空间分布,在保持原系统复杂度的同时增加了TDCS信号的抗截获性,在此基础上使用人工噪声进一步增强系统的安全性,最后推导了非法用户理论误码率以及系统保密容量。仿真结果表明,无论是全频谱或是频谱失配情况下,采用当参数 在[0,0.8)或(1.7,4]的范围内时,窃听者误码率始终保持在0.5,无法正确解调发送信号,同时系统保密容量也为正数,有效保证了信息的安全传输。     

Analysis of the impact of coal mining on the ecological environment of the nature reserve

With the gradual attention of the state to the protection of natural ecological environment, the planning and layout of the nature reserve will overlap with some coal mine areas. In order to strengthen the construction of ecological civilization, it is necessary to study the impact of mining on the ecological environment of the nature reserve. Through the methods of GIS and RS, and evaluation o f ecological protection index system, the differences and impacts of ecological environment changes before and after the planning of the nature reserve are analyzed. The results show that since 2002, the effect of water collection and artificial soil and water conservation measures on improving the ecological environment of vegetation are obvious, the dominant species of vegetation type in the overlapping area of coal mine and nature reserve have changed from grass vegetation to shrub vegetation, inwhich the area of arbor forest land has increased significantly, the veetationcoverage in the overlapping area has also increased considerably . The intensity of soil erosion has decreased year by year after mining the coal resources. Postharvest hydraulic erosion intensity is mainly below mild, and the area of artificial soil and water conservation has increased significantly. T he negative impact of the ground subsidence caused by coal mining on the ecological environment is less than the positive effect brought by artificial soil and waterconservation measures, and it is generally developing in a more stable direction. The ecological protection status index increased fr om 32. 98 to 45.94, and the change degree of ecological protection status in nature reserves is 12.9 ≥10. T he ecological protection status of the nature reserve improved significantly. On the basis of ecological environment protection and restoration measures in the nature reserve, coal mines need to further study the comprehensive impact of human activitieson the ecological environment of the nature reserve.     

道家哲学深层生态意蕴的探析

从“道法自然”本体论的深层生态含蕴、“人与天一”自然观的深层生态底蕴、“物无贵贱”、“我亦物也”价值观的深层生态内涵,以及“少私寡欲”、“见素抱朴”实践观等几个方面剖析了道家哲学的深层生态意蕴,为完善和发展现代生态哲学理论提供了一个新的视角。     

Enhancing power transfer capability through flexible AC transmission system devices:a review

Global demand for power has significantly increased, but power generation and transmission capacities have not increased proportionally with this demand. As a result, power consumers suffer from variou...