Detection of Turbulence Anomalies Using a Symbolic Classifier Algorithm in Airborne Quick Access Record(QAR)Data Analysis

As the risks associated with air turbulence are intensified by climate change and the growth of the aviation industry,it has become imperative to monitor and mitigate these threats to ensure civil aviation safety.The eddy dissipation rate(EDR)has been established as the standard metric for quantifying turbulence in civil aviation.This study aims to explore a universally applicable symbolic classification approach based on genetic programming to detect turbulence anomalies using quick access recorder(QAR)data.The detection of atmospheric turbulence is approached as an anomaly detection problem.Comparative evaluations demonstrate that this approach performs on par with direct EDR calculation methods in identifying turbulence events.Moreover,comparisons with alternative machine learning techniques indicate that the proposed technique is the optimal methodology currently available.In summary,the use of symbolic classification via genetic programming enables accurate turbulence detection from QAR data,comparable to that with established EDR approaches and surpassing that achieved with machine learning algorithms.This finding highlights the potential of integrating symbolic classifiers into turbulence monitoring systems to enhance civil aviation safety amidst rising environmental and operational hazards.

Improving path planning efficiency for underwater gravity-aided navigation based on a new depth sorting fast search algorithm

This study focuses on the improvement of path planning efficiency for underwater gravity-aided navigation.Firstly,a Depth Sorting Fast Search(DSFS)algorithm was proposed to improve the planning speed of the Quick Rapidly-exploring Random Trees*(Q-RRT*)algorithm.A cost inequality relationship between an ancestor and its descendants was derived,and the ancestors were filtered accordingly.Secondly,the underwater gravity-aided navigation path planning system was designed based on the DSFS algorithm,taking into account the fitness,safety,and asymptotic optimality of the routes,according to the gravity suitability distribution of the navigation space.Finally,experimental comparisons of the computing performance of the ChooseParent procedure,the Rewire procedure,and the combination of the two procedures for Q-RRT*and DSFS were conducted under the same planning environment and parameter conditions,respectively.The results showed that the computational efficiency of the DSFS algorithm was improved by about 1.2 times compared with the Q-RRT*algorithm while ensuring correct computational results.

Accelerating Large-Scale Sorting through Parallel Algorithms

This study explores the application of parallel algorithms to enhance large-scale sorting, focusing on the QuickSort method. Implemented in both sequential and parallel forms, the paper provides a detailed comparison of their performance. This study investigates the efficacy of both techniques through the lens of array generation and pivot selection to manage datasets of varying sizes. This study meticulously documents the performance metrics, recording 16,499.2 milliseconds for the serial implementation and 16,339 milliseconds for the parallel implementation when sorting an array by using C++ chrono library. These results suggest that while the performance gains of the parallel approach over its serial counterpart are not immediately pronounced for smaller datasets, the benefits are expected to be more substantial as the dataset size increases.

基于Quick BI融合看板的数字化供电所管理系统

针对客户功率因数异常偏低、客户停电次数无法感知等疑难问题量身打造了Quick BI融合看板。看板依托Quick BI平台灵活接入多源数据,基于数据中台完成大数据分析,打通营销、配电等专业间数据壁垒,具备功率因数调整电费过高提醒、光伏发电量为0监测、客户实时掉电监测次数等7大功能,以解决过去供电所存在的客户信息掌握不及时不全面、台区隐患排查成本高、隐蔽问题发现难度大等工作痛点、难点。有效推动了基层供电所赋能减负,助力供电所实现了客户零感知服务。

一种基于QR码混沌图像加密算法研究

随着资讯传播互联网化的程度越来越深,线上图像资源的版权保护受到越来越多的重视。该文提出了一种基于QR码(Quick response code)的利用Shearlet变换和线性螺旋变换的混沌图像数字水印算法。首先,对预加密图像资源生成版权QR码。其次,用Arnold变换对QR码进行加扰。最后,用Shearlet变换、线性螺旋变换和离散余弦变换将版权水印信息嵌入图像的中频部分,以嵌入水印。提取则是嵌入过程的逆过程。经试验证明,该文提出的方法不仅具有较好的版权信息隐蔽性,而且还有较强的鲁棒性。嵌入的QR码对一定比例的图像遮挡和噪声具有抗攻击能力。

Electrochemical synthesis of FeN_(x) doped carbon quantum dots for sensitive detection of Cu^(2+) ion

A novel strategy was developed to fabricate FeNx-doped carbon quantum dots(Fe-N-CQDs)to detect Cu^(2+) ions selectively as a fluorescence probe.The Fe-N-CQDs were synthesized by an efficient electrolysis of a carbon cloth electrode,which was coated with monoatomic ironanchored nitrogen-doped carbon(Fe-N-C).The obtained Fe-N-CQDs emitted blue fluorescence and possessed a quantum yield(QY)of 7.5%.An extremely wide linear relationship between the Cu^(2+) concentration and the fluorescence intensity was obtained in the range from 100 nmol L^(-1) to 1000 nmol L^(-1)(R^(2)=0.997),and the detection limit was calculated as 59 nmol L^(-1).Moreover,the Fe-N-CQDs demonstrated wide range pH compatibility between 2 and 13 due to the coordination between pyridine nitrogen and Fe^(3+),which dramatically reduced the affection of the protonation and deprotonation process between H^(+) and Fe-N-CQDs.It is notable that the Fe-N-CQDs exhibited a rapid response in Cu^(2+) detection,where stable quenching can be completed in 7 s.The mechanism of excellent selective detection of Cu^(2+) was revealed by energy level simulation that the LUMO level of Fe-N-CQDs(-4.37 eV)was close to the redox potential of Cu^(2+),thus facilitating the electron transport from Fe-N-CQDs to Cu^(2+).

Influence of quick release valve on braking performance and coupler force of heavy haul train

We establish a simulation model based on the theory of air flow to analyze the accelerated release effect of the quick release valve inside the air brake control valve.In addition, the combined simulation system of train air brake system and longitudinal train dynamics is used to analyze how the parameters of the quick release valve in the 120/120–1 brake control valve affect the propagation characteristics of the train brake pipe pressure wave, the release action range of the accelerated brake, and the longitudinal coupler force for a 20,000-ton heavy haul train on the section of the Datong–Qinhuangdao Railway. The results show that the quick release valve can effectively accelerate the rising speed of the train brake pipe pressure during the initial release, as the accelerated release effect is evident before the train brake pipe pressure reaches582 k Pa. The quick release valve can effectively accelerate the release of the rear cars, reducing the longitudinal coupler force impact due to time delay of the release process. The quick release valve can effectively reduce the tensile coupler force in the train by as much as 20% in certain cases.

切开复位内固定与假体置换治疗MasonⅢ、Ⅳ型桡骨小头骨折的疗效比较

目的通过比较切开复位内固定与假体置换治疗MasonⅢ、Ⅳ型桡骨小头骨折的疗效,为该类型骨折的临床治疗提供依据。方法选取我院2017年11月至2022年7月Mason分型符合Ⅲ、Ⅳ型的桡骨小头骨折成年患者64例,采用Quick DASH问卷得分及Broberg和Morrey肘关节功能评分比较切开复位内固定与假体置换两种治疗方式术后患肢的残疾分度、肘关节功能。结果Quick DASH问卷得分比较发现,内固定组与置换组的总残疾分度没有差异(P=0.524);且术后3个月~1年的患者,内固定组与置换组的患肢残疾分度没有差异(P=0.315);术后1~3年的患者,内固定组与置换组的患肢残疾分度也没有差异(P=0.693)。Broberg和Morrey肘关节功能评分比较发现,内固定组比置换组的肘关节功能好(P=0.04);而内固定组与置换组术后3个月~1年,患者的肘关节功能相当(P=0.315);术后1~3年的患者,内固定组与置换组肘关节功能也相同(P=0.693)。结论(1)对于MasonⅢ、Ⅳ型桡骨小头骨折的治疗,与桡骨小头置换术相比,切开复位内固定同样能重拾患者的肘关节功能,且术后3个月~1年就能达到与假体置换相当的功能。(2)切开复位内固定与桡骨头置换术的Broberg和Morrey肘关节功能评分的轻度差异,并不影响患肢的残障分度,因此Quick DASH问卷得分更能体现肘关节功能对患者生活的影响,更能客观评价肘关节的临床疗效。

Honeywell PKS系统第三方通讯的应用

介绍了鄂尔多斯煤制油分公司加氢催化重整装置PKS控制系统增加重要设备的电流和I、II段电量信号的显示,通过MOX NPort5630串口服务器实现honeywell EPKS与支持RS485通讯方式的电气气动马达ST500设备进行通讯,实现电流和电量信号在honeywell EPKS系统中显示。电流信号以4-20mA模拟量信号送至DCS系统、电量信号通讯至DCS显示,这样不但能精确及时了解重整装置重要设备电流、电量信息,为工艺人员填写报表和核算电量提供方便,而且为判断重要设备运行状态是否正常增加了可靠依据。

After Artificial Intelligence Breaks Longstanding Matrix Multiplication Records,Humans Quickly Do Better

In October 2022,machine learning experts at Deep Mind(London,UK),a subsidiary of Google(Mountain View,CA,USA),reported a“breakthrough”on an extremely common mathematical algorithm called matrix multiplication[1].In previous years,DeepMind has made headlines with its successes in using deep learning to master various games,such as Go[2],chess,and even the strategic board game Diplomacy,and,in a more recent and clearly practical application with its Alpha Fold program[3].

Quality Control of YFOSC Data I. The On-site Quick Analysis System

The Lijiang 2.4 m Telescope(LJT)is one of the most important telescopes for general astronomical observations in China.Yunnan Faint Object Spectrograph and Camera(YFOSC)is a widely used instrument mounted on the LJT,which occupies for~80%of the observing time of the LJT,and thus instrument health and data quality of the YFOSC are very important for both the telescope maintenance team and users of the LJT.So we develop an automated data analysis system for the quality control(QC)of YFOSC data.This system is also a new function of the observing support of the YFOSC.Based on the system,YFOSC data can be reduced quickly as they are acquired and QC parameters are extracted.Observers can assess the quality of their data and make a possible revision of their observing plan in time.These parameters can also be used to check the health of the YFOSC,which is helpful for the telescope maintenance team to find potential problems.All of these aim at improving the productivity of the LJT.

The role of quick Sepsis-related Organ Failure Assessment score as simple scoring system to predict Fournier gangrene mortality and the correlation with Fournier’s Gangrene Severity Index: Analysis of 69 patients

Objective:Fournier’s gangrene is a rare but life-threatening infection disease with high mortality rate.The quick Sepsis-related Organ Failure Assessment(qSOFA)is a new and simpler scoring system that may identify patients with suspected infection who are at greater risk for a poor outcome.The purpose of this study was to find out role of qSOFA in determining prognosis of Fournier’s gangrene patients.Methods:This study is a case control with retrospective review of Fournier’s gangrene patients treated at Hasan Sadikin Hospital from January 2013 to December 2017 who met inclusion criteria.Participants were divided into two groups according to qSOFA score as high qSOFA(2-3)and low qSOFA(0-1).Results:From 69 patients,the mortality rate was 24.6%.The sensitivity of qSOFA score to predict mortality was 88.2%;the specificity was 94.2%;positive predictive value was 83.3%;negative predictive value was 96.1%;positive likelihood ratio was 15.2;negative likelihood ratio was 0.12;and the area under the receiver operating characteristic curve of qSOFA was 94.2%.There was significant association between qSOFA scale and mortality with p-value of 0.0001.The qSOFA score has strong positive correlation with Fournier’s Gangrene Severity Index(p<0.0001,r=0.704).Conclusion:qSOFA scoring system has a high prognostic value and can be used to determine prognosis of Fournier’s gangrene patients.

Robot Positioning Based on Multiple Quick Response Code Landmarks

The scheme of robot positioning based on multiple quick response(QR)code landmarks is proposed.Firstly,the pose of the robot relative to the QR code landmarks is obtained by extracting the feature points of the QR code,combined with the visual computing technology.Then,the conversion of the absolute pose of the robot is completed based on the absolute position of the QR code landmark,and thus the real-time position of the robot is obtained.The proposed scheme makes full use of the QR code fault tolerance and multiple QR code landmarks to improve the calculation accuracy.It has good robustness and versatility,and it is easy to implement.It can help the robot to complete the positioning in the actual work,making robot navigation more accurate.

杭州亚运会上的“显眼包”——机器狗

During the Hangzhou Asian Games,several cute intelligent working dogs quickly won the love of the audience.They appeared on the field as porters of discuses and javelins(铁饼和标枪的搬运工),quickly running and carrying the discus or javelin back to the athletes.

高精度作物分布图制作

中国自然条件复杂 ,农业种植结构多样 ,地块小而分散 ,利用遥感影像制作作物分布图的精度很难满足农业遥感估产的需求。该文利用目前最高分辨率的商用遥感卫星 (QuickBird)影像 ,采用面向对象的影像分析方法提取耕地种植地块图 ,结合详细的地面调查制作高精度的作物分布图 ,为农业遥感估产服务。

旋风分离器流场的数值计算方法研究

利用计算流体力学软件FLUENT,分别采用k-ε标准模型、RNGk-ε模型和RSM模型湍流模型及不同离散方式对旋风分离器的流场进行了数值模拟研究.通过模拟结果与前人实测结果的对比,确定出了适合旋风分离器的数值计算方法.结果表明:湍流模型采用各向异性的RSM模型,离散方式采用对流项的QUICK格式和压力梯度项的PRESTO格式,才能获得合理的流场模拟结果该结论为旋风分离器流场的数值模拟及进一步的结构优化设计提供了参考依据.

QUICK与多种差分方案的比较和计算

本文用QUICK和多种差分方案计算了四个流动与换热问题．计算结果表明。对于强制流动问题，QUICK用较粗网格就能得到其他差分方案用较细网格才能得到的结果。对稳态自然对流，QUICK与其他差分方案的计算结果相近，但QUICK方案能预测出所计算的低Pr数流体自然对流的物理振荡，而其他几种方案不能．

基于AdaBoost的高分辨率遥感影像城市绿地提取算法

针对高分辨率遥感影像中城市绿地的光谱、纹理及NDVI等特征,提出了一种基于多特征、多检测器组合的高分辨率遥感影像绿地提取算法。该算法分别以城市绿地的光谱信息、纹理及NDVI来构造提取绿地的弱检测器,并通过AdaBoost算法进行训练,将弱检测器加权组合构成提取绿地的强检测器。对武汉地区QuickBird影像进行了绿地提取实验,实验结果表明该方法可以高效并准确地提取出绿地信息,优于传统的单一采用光谱信息或纹理信息的绿地提取算法。

一种串匹配的快速Boyer-Moore算法

在对经典的Boyer-Moore和Quick Search串匹配算法进行分析的基础上,提出了一种更加快速的串匹配算法Quick Boyer-Moore(QBM)。QBM算法利用当前尝试中的已匹配子串、匹配失败字符信息以及与当前窗口下一个字符的位置信息,以在每一次跳跃中获得更大的跳跃距离,从而使算法具有更高的效率。在真实语料上的实验结果表明,QBM算法的效率较显著地高于原始的BM算法及其改进算法Improved Boyer-Moore(IBM)。