ISO 22163:2023新版标准变化点解析与IRIS认证的实施

ISO22163:2023是轨道交通行业领域新发布的质量管理体系国际标准,本文从标准的范围、术语定义、过程方法和重要内容变化点、其他优化完善等方面分析了国际标准ISO22163:2023与其升级前的版本ISO/TS22163:2017的主要内容差异,包括产品安全、社会责任、能力要求、外部供方评估、RAMS/LCC、FAI、软件工具以及其他优化完善等,总结了IRIS认证变化点,主要涵盖评估过程、认证实施和认证绩效等级的变化,并提出了IRIS认证标准转版的时间节点、风险评估和体系文件策划的相关建议,以期为更好理解和实施该标准提供借鉴。

基于IRIS和Python平台的人脸识别技术研究

IRIS数据平台以高效的性能进行实时获取、处理数据而广泛得到应用,Python是一种功能强大、简单易学的编程语言,其具有简洁的语法和丰富的第三方库支持,特别适合用于开发人工智能应用程序。文章详细介绍了IRIS与Python数据交互的方法,并且以人脸识别为例,在Python平台和IRIS平台实现了基于OpenCV的局部二进制模式直方图(LocalBinaryPatternHistogram,LBPH)算法,对比分析了LBPH算法在不同平台上的执行效率,为人脸识别技术的研究提供了更多理论依据。

IRIS模式促进STEAM教学区域均衡发展

当今世界对创新能力的呼唤为STEAM教育提供了时代土壤。当下,农村学校由于受师资、实践装备数量与质量的困扰,造成STEAM教学区域均衡发展困难。在农村信息科技教学中,我们可以尝试采用IRIS模式,促进STEAM教学区域均衡发展。

从“BLACK IRISH”商标案看欧盟与中国对于商标绝对性驳回理由审查的异同

欧盟“BLACK IRISH”商标申请案情介绍2020年1月29日,申请人LOTION LLC向欧盟知识产权局申请注册了“BLACK IRISH”商标,指定商品包括:第30类:热巧克力;咖啡;第32类:啤酒;黑啤酒和波特啤酒;第33类:含有威士忌,奶油利口酒和/或卜丁酒的咖啡酒精饮料。

Exogenous addition of nitrate nitrogen regulates the uptake and translocation of lead (Pb) by Iris lacteal Pall. var. chinensis (Fisch.) Koidz.

Since Pb is a non-biodegradable inorganic pollutant and a non-essential metal,its long-term presence in soil poses a great threat to the environment.Iris lactea Pall.var.chinensis(Fisch.)Koidz.,a perennial dense bush herb with high resistance of Pb and wide adaptability,was used in pot experiments to study the effects of exogenous nitrate N(NO_(3)^(–)-N)on the absorption and transportation of Pb and plant growth under different Pb concentrations.Then,the mechanism of NO_(3)^(-)-N affecting Pb and nutrient uptake and transport was explored.The concentration of Pb in the experiment ranged from 0 to 1600 mg/kg,and the added concentration of NO_(3)^(-)-N was 0.0–0.3 g/kg.The results showed that I.lactea was highly tolerant to Pb,and the shoot fraction was more sensitive to varied Pb concentrations in the soil than the root fraction.This protective function became more pronounced under the condition of raised Pb concentration in the soil.When the concentration of Pb in the soil reached 800 mg/kg,the highest Pb content of I.lactea was found under the condition of 0.1 g/kg of NO–3-N addition.When Pb concentration in the soil increased to 1600 mg/kg,the increase in NO_(3)^(-)-N addition promoted Pb uptake by the root.To ensure the well growth of I.lactea and the effect of remediation of Pb-contaminated soil,the recommended concentration of NO–3-N in the soil is 0.1 g/kg.This result provides a theoretical basis for exogenous N regulation of phytoremediation of Pb-contaminated soil.

Assessment of iris volume in glaucoma patients with type 2 diabetes mellitus by AS-OCT

AIM:To examine the change of iris volume measured by CASIA2 anterior segment optical coherence tomography(ASOCT)in glaucoma patients with or without type 2 diabetes mellitus(T2DM)and explore if there is a correlation between hemoglobin A1c(HbA1c)level and iris volume.METHODS:In a cross-sectional study,72 patients(115 eyes)were divided into two groups:primary open angle glaucoma(POAG)group(55 eyes)and primary angle-closure glaucoma(PACG)group(60 eyes).Patients in each group were separately classified into patients with or without T2DM.Iris volume and glycosylated HbA1c level were measured and analyzed.RESULTS:In the PACG group,diabetic patients'iris volume was significantly lower than those of non-diabetics(P=0.02),and there was a significant correlation between iris volume and HbA1c level in the PACG group(r=-0.26,P=0.04).However,diabetic POAG patients'iris volume was noticeably higher than those of non-diabetics(P=0.01),and there was a significant correlation between HbA1c level and iris volume(r=0.32,P=0.02).CONCLUSION:Diabetes mellitus impact iris volume size,as seen by increased iris volume in the POAG group and decreased iris volume in the PACG group.In addition,iris volume is significantly correlated with HbA1c level in glaucoma patients.These findings imply that T2DM may compromise iris ultrastructure in glaucoma patients.

Iris Liveness Detection Using Fragmental Energy of Haar Transformed Iris Images Using Ensemble of Machine Learning Classifiers

Contactless verification is possible with iris biometric identification,which helps prevent infections like COVID-19 from spreading.Biometric systems have grown unsteady and dangerous as a result of spoofing assaults employing contact lenses,replayed the video,and print attacks.The work demonstrates an iris liveness detection approach by utilizing fragmental coefficients of Haar transformed Iris images as signatures to prevent spoofing attacks for the very first time in the identification of iris liveness.Seven assorted feature creation ways are studied in the presented solutions,and these created features are explored for the training of eight distinct machine learning classifiers and ensembles.The predicted iris liveness identification variants are evaluated using recall,F-measure,precision,accuracy,APCER,BPCER,and ACER.Three standard datasets were used in the investigation.The main contribution of our study is achieving a good accuracy of 99.18%with a smaller feature vector.The fragmental coefficients of Haar transformed iris image of size 8∗8 utilizing random forest algorithm showed superior iris liveness detection with reduced featured vector size(64 features).Random forest gave 99.18%accuracy.Additionally,conduct an extensive experiment on cross datasets for detailed analysis.The results of our experiments showthat the iris biometric template is decreased in size tomake the proposed framework suitable for algorithmic verification in real-time environments and settings.

IrisBeautyDet:虹膜定位和美瞳检测网络

虹膜活体检测是虹膜识别中涉及安全的重要环节之一,也是虹膜识别领域亟待解决的问题之一,其中美瞳检测是虹膜活体检测中最具挑战性的领域。提出了一种基于SSD(single shot multibox detector)目标检测网络的虹膜定位和美瞳检测算法IrisBeautyDet,并对网络结构进行轻量化处理,引入MobileNet主干网络显著减少模型计算量,极大提高速度。采用空间注意力和通道注意力机制,进一步提高模型准确率。实验表明,在CASIA-Iris和圣母大学NDCLD的活体和美瞳虹膜数据集上,该算法具有较好的泛化能力和鲁棒性,相比原始SSD算法,IrisBeautyDet具有更少的参数量、更快的实时性和更高的准确率。相比原始SSD网络模型,该模型大小从91.1 MB下降到26.1 MB,同时将检测速度从29.68 frame/s提高到41.88 frame/s,对活体类和美瞳类的检测精确率达到99.21%和98.61%。利用导向反向传播(guided-backpropagation)对检测特征图进行可视化,分析并优化网络模型使其更有效地提取美瞳纹理特征。

Iris metastasis from clear cell renal cell carcinoma: A case report

BACKGROUND Clear cell renal cell carcinoma(ccRCC)is a common type of tumor that can metastasize to any organs and sites.However,it is extremely rare for ccRCC to metastasize to the iris.Here,we describe a rare case of iris metastasis from ccRCC with a history of left nephrectomy in 2010.CASE SUMMARY A 62-year-old male was admitted to the hospital due to blurred vision and red eyes,and a mass was found on the iris in the right eye.B-scan ultrasonography revealed a well-bounded high-density lesion at the corner of the anterior chamber at the 3-4 o’clock position.Phacoemulsification with simultaneous intraocular lens implantation and iridocyclectomy was performed in the right eye.The lesion was confirmed to be metastatic ccRCC by histological and immunohistochemical analyses.The patient was still alive at 9 mo after surgical treatment.Ocular metastasis can be an initial sign with a poor prognosis.Timely detection and treatment may improve survival.Clinicians should pay attention to similar metastatic diseases to prevent misdiagnosis leading to missed treatment oppor-tunities.CONCLUSION This report of the characteristics and successful management of a rare case of iris metastasis from ccRCC highlights the importance of a comprehensive medical history,histopathology,immunohistochemistry,and clinical manifestation for successful disease diagnosis.

An Optimised Defensive Technique to Recognize Adversarial Iris Images Using Curvelet Transform

Deep Learning is one of the most popular computer science techniques,with applications in natural language processing,image processing,pattern iden-tification,and various otherfields.Despite the success of these deep learning algorithms in multiple scenarios,such as spam detection,malware detection,object detection and tracking,face recognition,and automatic driving,these algo-rithms and their associated training data are rather vulnerable to numerous security threats.These threats ultimately result in significant performance degradation.Moreover,the supervised based learning models are affected by manipulated data known as adversarial examples,which are images with a particular level of noise that is invisible to humans.Adversarial inputs are introduced to purposefully confuse a neural network,restricting its use in sensitive application areas such as bio-metrics applications.In this paper,an optimized defending approach is proposed to recognize the adversarial iris examples efficiently.The Curvelet Transform Denoising method is used in this defense strategy,which examines every sub-band of the adversarial images and reproduces the image that has been changed by the attacker.The salient iris features are retrieved from the reconstructed iris image by using a pretrained Convolutional Neural Network model(VGG 16)followed by Multiclass classification.The classification is performed by using Support Vector Machine(SVM)which uses Particle Swarm Optimization method(PSO-SVM).The proposed system is tested when classifying the adversarial iris images affected by various adversarial attacks such as FGSM,iGSM,and Deep-fool methods.An experimental result on benchmark iris dataset,namely IITD,produces excellent outcomes with the highest accuracy of 95.8%on average.

Morroniside ameliorates lipopolysaccharide-induced inflammatory damage in iris pigment epithelial cells through inhibition of TLR4/JAK2/STAT3 pathway

AIM:To investigate the effect of morroniside(Mor)on lipopolysaccharide(LPS)-treated iris pigment epithelial cells(IPE).METHODS:IPE cells were induced by LPS and treated with Mor.Cell proliferation was detected by cell counting kit(CCK)-8,apoptosis was detected by flow cytometry,the levels of tumor necrosis factor-α(TNF-α),interleukin(IL)-6,and IL-8 were measured by enzyme-linked immunosorbent assay(ELISA)kits,and the protein expression of TLR4,JAK2,p-JAK2,STAT3,and p-STAT3 was analyzed by Western blotting.In addition,overexpression of TLR4 and Mor treatment of LPS-stimulated IPE cells were also tested for the above indices.RESULTS:Mor effectively promoted the proliferation and inhibited the apoptosis of LPS-treated IPE cells.In addition,Mor significantly reduced the levels of TNF-α,IL-6,and IL-8 and significantly inhibited the expression of TLR4,p-JAK2,and p-STAT3 in LPS-treated IPE cells.The effect of Mor on LPS-treated IPE cells was markedly attenuated after overexpression of TLR4.CONCLUSION:These findings suggest that Mor may ameliorate LPS-induced inflammatory damage and apoptosis in IPE through inhibition of TLR4/JAK2/STAT3 pathway.

IRIS技术在省煤器翅片管腐蚀检测中的试验研究

省煤器翅片管是电站锅炉中的常见承压构件之一,由于省煤器常年在含硫高温工况下运行,因此每个锅炉内检周期都必须对省煤器管部位进行仔细地宏观检查。某台热电联产电站锅炉中的省煤器翅片管经宏观检查发现出现泄漏,对泄漏部位做了割管处理,常用的无损检测手段对于省煤器带翅片管几乎无法做到精确定量检测,采用IRIS手段对出现泄漏管段部位附近管子进行抽查检测,结果显示采用IRIS技术能够对管子内部腐蚀情况进行精确测量,是一种值得推荐的腐蚀检测手段。

A Novel Fusion System Based on Iris and Ear Biometrics for E-exams

With the rapid spread of the coronavirus epidemic all over the world,educational and other institutions are heading towards digitization.In the era of digitization,identifying educational e-platform users using ear and iris based multi-modal biometric systems constitutes an urgent and interesting research topic to pre-serve enterprise security,particularly with wearing a face mask as a precaution against the new coronavirus epidemic.This study proposes a multimodal system based on ear and iris biometrics at the feature fusion level to identify students in electronic examinations(E-exams)during the COVID-19 pandemic.The proposed system comprises four steps.Thefirst step is image preprocessing,which includes enhancing,segmenting,and extracting the regions of interest.The second step is feature extraction,where the Haralick texture and shape methods are used to extract the features of ear images,whereas Tamura texture and color histogram methods are used to extract the features of iris images.The third step is feature fusion,where the extracted features of the ear and iris images are combined into one sequential fused vector.The fourth step is the matching,which is executed using the City Block Dis-tance(CTB)for student identification.Thefindings of the study indicate that the system’s recognition accuracy is 97%,with a 2%False Acceptance Rate(FAR),a 4%False Rejection Rate(FRR),a 94%Correct Recognition Rate(CRR),and a 96%Genuine Acceptance Rate(GAR).In addition,the proposed recognition sys-tem achieved higher accuracy than other related systems.

IRIS配置管理在铁路信号工程项目中的实践与应用

结合铁路项目实践,阐述I R I S配置管理在铁路信号工程项目上的实践与应用。通过运用I R I S配置管理的相关技术管理手段,在项目生命周期内对保证产品的可追溯性、安全性和可靠性,起到非常重要的支撑作用。

基于IRI模式的电离层预报模型建立

电离层内部带电粒子运动和变化状态受太阳辐射与地磁场作用的影响,服从物理规律的约束,常规数学逼近方法进行电离层预报缺乏物理机制的支持。由于断电断网等不可预计因素的影响,地面全球导航卫星系统(GNSS)连续观测站数据容易出现中断,从而影响对电离层的监测,并进一步影响改正数播发。为了在GNSS连续观测站数据缺失的情况下,重现电离层误差延迟,填补观测数据空白,本文提出了一种基于物理模式的电离层总电子密度高精度时域预报方案,并通过模拟实验验证了基于物理模式的电离层时序预报方式相较于传统数学方法的优势。实验结果表明,基于IRI的电子浓度总含量(TEC)预报误差基本上都小于多项式计算的TEC预报误差的50%,且随着IGR权重的增加,基于IRI的TEC预报误差也逐渐变小,与模拟的TEC真值更加接近;通过对比拟合时段和预报时段与原始IRI2016模型的计算结果,发现更新后IG_(12)指数驱动下的IRI2016模型计算的TEC精度得到了明显提高,计算残差标准差精度上午时段在低纬度和中纬度地区分别提高了83.9%和49.8%,下午时段在低纬度和中纬度地区分别提高了63.0%和60.6%,与GNSS TEC的整体符合情况更好,从而验证了基于IRI模式建立的电离层预报模型在中国中、低纬度地区具有较高的应用精度。

孕晚期血清irisin、RBP-4与妊娠期高血压病情关系及对妊娠结局影响

目的:探讨孕晚期血清鸢尾素(irisin)、视黄醇结合蛋白-4(RBP-4)与妊娠期高血压孕妇病情的关系及不良妊娠结局。方法:选择2021年3月-2022年3月本院妇产科治疗的妊娠期高血压孕妇120例作为观察组,根据病情分为轻度组37例、中度组50例、重度组33例,产前检查正常孕妇60例为对照组。采用酶联免疫吸附法检测两组血清irisin、RBP-4水平,采用Pearson相关分析irisin、RBP-4与妊娠期高血压孕妇病情关系,比较不同irisin、RBP-4水平孕妇妊娠结局,采用多因素logistic回归分析妊娠期高血压妊娠不良结局影响因素。结果:观察组血清irisin(254.60±28.74 ng/L)低于对照组(552.44±56.66 ng/L),RBP-4(42.25±5.22μg/ml)高于对照组(23.36±3.26μg/ml),且重度组、中度组、轻度组血清irisin水平依次升高,血清RBP-4水平依次降低(均P<0.05)。Pearson相关分析显示,孕晚期血清irisin水平与妊娠期高血压病情严重程度呈负相关(r=-0.441,P<0.05),RBP-4水平与妊娠期高血压病情严重程度呈正相关(r=0.366,P<0.05)。妊娠期高血压孕妇中,irisin>254.60ng/L孕妇不良妊娠结局发生率低于irisin≤254.60ng/L孕妇,RBP-4>42.25μg/ml孕妇的不良妊娠结局发生率高于RBP-4≤42.25μg/ml孕妇(均P<0.05)。孕晚期血清irisin、RBP-4水平以及年龄均为影响妊娠期高血压孕妇妊娠结局的危险因素(P<0.05)。结论:妊娠期高血压孕妇孕晚期血清irisin水平降低、RBP-4水平升高,且二者水平与疾病的病情程度有关,与不良妊娠结局发生有关,提示临床参考评估。

用IRIS/AP-ICP-AES法同时测定废水中的Cd、Cr、Cu、Ni、Pb和Zn

本文采用 IRIS/AP- ICP- AES法同时测定废水中的 Cd、Cr、Cu、Ni、Pb和 Zn。选择了最佳的仪器工作条件 ,并选取了被测元素的最佳谱线。样品中的干扰因子通过谱线的背景校正方法予以消除。本法操作简便 ,结果准确 ,其相对标准偏差均小于 2 % ,回收率在 98%— 1 0 4%之间。

CyberKnife中Fixed/Iris准直器对肝癌患者治疗计划的影响及评价

目的:探讨及评价不同准直器(Fixed/Iris)的选择对治疗计划剂量学特点的影响。方法:选取12例肝癌患者影像数据,统一给予靶区剂量50 Gy/5 F,在相同条件下分别对每例患者选择Fixed与Iris准直器进行治疗计划设计,通过靶区适形度指数(CI)、均匀性指数(HI)、梯度指数(GI)、正常肝脏平均受量以及治疗时间等参数,分析评估计划优化质量及实施效率。结果:Iris组计划执行的平均治疗时间明显优于Fix组[(48.33±1.92)min vs(51.50±1.88)min,t=4.23,P=0.001],而CI(0.79±0.07 vs 0.80±0.08,t=0.52,P=0.613)、HI(0.42±0.14 vs 0.41±0.14,t=0.35,P=0.733)、GI(3.66±0.61 vs 3.60±0.50,t=1.15,P=0.273)、处方剂量归一值[(76.92±6.55)%vs(77.00±6.34)%,t=0.18,P=0.857]以及正常肝脏平均受量[(5.15±1.25)Gy vs(5.16±1.27)Gy,t=0.63,P=0.542]则无统计学差异。结论:CyberKnife系统中使用Iris相对Fixed准直器而言,除治疗时间明显缩短外,没有显著的剂量学差异。而对于其他部位肿瘤患者的治疗计划有无差异,还需进一步探讨和研究。

Iris japonica×Iris confusa种间杂种的细胞遗传学研究

对Irisjaponica、I confusa和它们的人工种间杂种花粉母细胞减数分裂中期Ⅰ染色体配对行为、形态学和繁育特征进行了分析 ,结果表明 :(1)I japonica和I confusa的形态差异较小 ,杂种F1形态介于亲本之间 ;(2 )人工杂交比较容易 ,杂种种子能正常发育 ;杂种F1体细胞染色体数为 2n =30 ,减数分裂中期I染色体配对频率很高 ,为 13 9个二价体 ,构型为0 95Ⅰ + 5 95Ⅱ (棒形 ) + 7 95Ⅱ (环形 ) + 0 0 5Ⅲ + 0 2 7Ⅳ ,表明它们有相似的染色体组 ,亲缘关系很近 ;(3)杂种中有少量的三价体和四价体存在 ,可能是亲本染色体间发生了结构重排或是部分同源染色体配对 ;(4)杂种中大多数细胞存在 2个单价体 ,有的高达 8个单价体 ;花粉育性为 5 0 5 1% ,不能正常结实 ,表明I japonica和I confusa间存在生殖隔离 ,是独立的生物学物种 ;(5 )杂种F1减数分裂前期可观察到细胞融合 ,这可能是造成I japonica和I confusa不同居群出现多倍体和非整倍体的重要原因。

德国鸢尾(Iris germanica L.)矮生优良单株的杂交选育

以 2个矮生和 5个普通德国鸢尾 (IrisgermanicaL )栽培品种为材料 ,配置 5个杂交组合 ,经杂交试验及矮生优株筛选 ,选出矮生优良单株 8个。试验结果表明 :因所选亲本遗传基础的复杂性 ,其杂种后代出现了花色及株高等主要表型性状的高度分离 ;在花色性状遗传中 ,其紫色相对于黄、粉、白和红色具有更强的遗传能力 ;在株高性状遗传中 ,杂种后代不同株高个体数由多到少依次为Ⅲ级、Ⅱ级、Ⅳ级、Ⅰ级。以花色为主要观赏指标的鸢尾矮生植株需通过与矮生亲本的反复回交筛选得到。