ATE芯片测试中的成测修调方法分析

阐述基于ATE测试中集成电路成测修调的方法。介绍目前芯片封装测试环节常见的成测修调种类,包括多晶硅结构的熔丝修调、齐纳二极管的齐纳修调、EPROM/EEPROM结构的数字修调。

基于数据分析科学降低芯片测试成本

随着集成电路的快速发展和工业物联网时代的逐渐到来,高性能、高可靠性的芯片制造成本越来越高。为保证芯片高质量生产,芯片的测试参数需要全覆盖,导致芯片测试所需的时间较长,成本较高。为降低芯片测试的成本,从数据分析的角度出发,就如何在保证产品质量的前提下科学降低芯片测试的时间和成本进行了研究。通过对实际测试数据的统计分析,表明所提方法可有效降低芯片测试的时间和成本。

二尖瓣成形测瓣器的研制和临床应用

目的 :为在二尖瓣成形术中准确迅速判断瓣环和瓣叶病损的部位及程度 ,提高二尖瓣成形术的成功率。方法 :解剖测量 30例国人正常新鲜心脏的二尖瓣 ,术中观察二尖瓣病理变化特点后研制了一种新型二尖瓣成形测瓣器。结果 :用测瓣器行二尖瓣成形术 35例 ,成形手术时间由原来的 (57±11)min减少到 (35±15)min ,手术死亡率由 11%下降到 3 3%。结论 :使用此种测瓣器可使二尖瓣成形术省时、准确 ,成功率明显提高。

装测法成图在航测成图中的应用

为加快地形图的更新速度,近年来越来越多的城市和地区采取航测法成图。在航测大比例尺地形图成图过程中不可避免的会遇到植被覆盖和影象不清的问题,从而涉及到内业遗漏地物补测。但是遗漏地物距离图根控制点可能距离较远,甚至全站仪导线超长,在这种情况下就需要用装测法补测。本文结合苏州1:1000地形图测量进行简单讨论。

虚拟研发团队成员间信任度的未确知测度评价模型设计

本文通过构建虚拟研发团队成员间信任度的评价指标体系,设计出未确知测度评价模型、信息熵确定指标分类权重并应用置信度识别准则,对虚拟研发团队成员间信任度进行符合客观实际的评价,从而能够更直观、更合理地分析评价虚拟研发团队成员间信任关系程度。

测记法数字化成图之浅见

主要介绍了测记法数字化成图中草图的画法和要求,以及内业成图时的一些小技巧,进而提出在测记法数字化成图中要特别重视绘制草图的建议。

30例慢性肺心病患者左心功能检测分析

应用ＸＸＧ－Ａ型心血管功能测试仪检测３０例慢性肺心病患者的左心功能。结果显示，慢性肺心病心功能代偿期确已存在左心排血址减少，前负荷增高，而在其失代偿期改变更为显著。提示慢性肺心病是右心受累为主的全心病。

探索目标成本管理 提高公路经济效益

本文介绍了一个筑路企业推行目标成本管理的做法，变事后算帐为事前控制，层层落实指标，取得了可观的经济效益。他们的经验是：１）首先要合理地制定目标成本；２）要抓好目标成本的分解；３）要抓好基础工作；４）要实行分级责任制；５）要做好目标成本的分析。

桥壳中段同轴度测量装置的结构设计

为提高铸造桥壳中段测量精度和测量效率,文中提出采用专用测量设备实现在线测量,动态控制产品重要特性指标通过对产品结构和测量要求的深入分析,找出了测量装置设计中多点测头、测头防护、多品种快速切换装置等技术难点的解决方案,实现了铸造桥壳中段基于该装置实时在线测量。

Improved Small Target Detection Method for SAR Image Based on YOLOv7

In order to solve the problems that the current synthetic aperture radar(SAR)image target detection method cannot adapt to targets of different sizes,and the complex image background leads to low detection accuracy,an improved SAR image small target detection method based on YOLOv7 was proposed in this study.The proposed method improved the feature extraction network by using Switchable Around Convolution(SAConv)in the backbone network to help the model capture target information at different scales,thus improving the feature extraction ability for small targets.Based on the attention mechanism,the DyHead module was embedded in the target detection head to reduce the impact of complex background,and better focus on the small targets.In addition,the NWD loss function was introduced and combined with CIoU loss.Compared to the CIoU loss function typically used in YOLOv7,the NWD loss function pays more attention to the processing of small targets,so as to further improve the detection ability of small targets.The experimental results on the HRSID dataset indicate that the proposed method achieved mAP@0.5 and mAP@0.95 scores of 93.5%and 71.5%,respectively.Compared to the baseline model,this represents an increase of 7.2%and 7.6%,respectively.The proposed method can effectively complete the task of SAR image small target detection.

Improving autoencoder-based unsupervised damage detection in uncontrolled structural health monitoring under noisy conditions

Structural health monitoring is widely utilized in outdoor environments,especially under harsh conditions,which can introduce noise into the monitoring system.Therefore,designing an effective denoising strategy to enhance the performance of guided wave damage detection in noisy environments is crucial.This paper introduces a local temporal principal component analysis(PCA)reconstruction approach for denoising guided waves prior to implementing unsupervised damage detection,achieved through novel autoencoder-based reconstruction.Experimental results demonstrate that the proposed denoising method significantly enhances damage detection performance when guided waves are contaminated by noise,with SNR values ranging from 10 to-5 dB.Following the implementation of the proposed denoising approach,the AUC score can elevate from 0.65 to 0.96 when dealing with guided waves corrputed by noise at a level of-5 dB.Additionally,the paper provides guidance on selecting the appropriate number of components used in the denoising PCA reconstruction,aiding in the optimization of the damage detection in noisy conditions.

Network Intrusion Detection Model Based on Ensemble of Denoising Adversarial Autoencoder

Network security problems bring many imperceptible threats to the integrity of data and the reliability of device services,so proposing a network intrusion detection model with high reliability is of great research significance for network security.Due to the strong generalization of invalid features during training process,it is more difficult for single autoencoder intrusion detection model to obtain effective results.A network intrusion detection model based on the Ensemble of Denoising Adversarial Autoencoder(EDAAE)was proposed,which had higher accuracy and reliability compared to the traditional anomaly detection model.Using the adversarial learning idea of Adversarial Autoencoder(AAE),the discriminator module was added to the original model,and the encoder part was used as the generator.The distribution of the hidden space of the data generated by the encoder matched with the distribution of the original data.The generalization of the model to the invalid features was also reduced to improve the detection accuracy.At the same time,the denoising autoencoder and integrated operation was introduced to prevent overfitting in the adversarial learning process.Experiments on the CICIDS2018 traffic dataset showed that the proposed intrusion detection model achieves an Accuracy of 95.23%,which out performs traditional self-encoders and other existing intrusion detection models methods in terms of overall performance.

基于多类型雨量计的降雨特性分析

为提高对降雨特性的认识,选择常用的6种测雨设备(翻斗式SL3-1、JDZ05、RG-3,称重式Pluvio2,雨滴谱仪Parsivel2和非计数式JQH-1),成对布设在南京水利科学研究院滁州水文实验基地的同一个实验场地,同步观测了2019年4月1日至8月31日为期5个月的降雨过程。比测分析得到:在中大雨条件下(日雨量≥10 mm),SL3-1和JDZ05测的降雨总量能够满足4%误差控制要求,RG-3、Pluvio2和Parsivel2测的降雨量比JQH-1测值小4%;在小雨条件下(日雨量<10 mm),翻斗式和称重式雨量计的测量值小于JQH-1测值的4%;SL3-1、RG-3、Pluvio2、Parsivel2测得雨强≤0.1 mm/min的频率大于75%,雨强≤0.2 mm/min条件下的雨量累积比重大于50%;Pluvio2和Parsivel2监测的降雨开始时间比SL3-1分别早0.5 h和2 h以上,而结束时间分别晚0.5 h和2 h以上。比测结果有助于研究人员选择合适的测量设备获取所关注的降雨特性。

Automatic discrimination of sedimentary facies and lithologies in reef-bank reservoirs using borehole image logs

Reef-bank reservoirs are an important target for petroleum exploration in marine carbonates and also an essential supplemental area for oil and gas production in China. Due to the diversity of reservoirs and the extreme heterogeneity of reef-banks, it is very difficult to discriminate the sedimentary facies and lithologies in reef-bank reservoirs using conventional well logs. The borehole image log provides clear identification of sedimentary structures and textures and is an ideal tool for discriminating sedimentary facies and lithologies. After examining a large number of borehole images and cores, we propose nine typical patterns for borehole image interpretation and a method that uses these patterns to discriminate sedimentary facies and lithologies in reeI^bank reservoirs automatically. We also develop software with user-friendly interface. The results of applications in reef-bank reservoirs in the middle Tarim Basin and northeast Sichuan have proved that the proposed method and the corresponding software are quite effective.

Prediction of stiffener buckling in press bend forming of integral panels

In order to predict the buckling of stiffeners in the press bend forming of the integral panel,a method for solving the critical buckling load of the stiffeners in press bend forming process was proposed based on energy method,elastic-plastic mechanics and numerical analysis.Bend to buckle experiments were carried out on the designed press bend dies.It is found that the predicted results based on the proposed method agree well with the experimental results.With the proposed method,the buckling of the stiffeners in press bend forming of the aluminum alloy integral panels with high-stiffener can be predicted reasonably.

The Segmentation of FMI Image Based on 2-D Dyadic Wavelet Transform

A key aspect in extracting quantitative information from FMI logs is to segment the FMI image to get images of pores, vugs and fractures. A segmentation method based on the dyadic wavelet transform in 2-D is introduced in this paper. The first step is to find all the edge pixels of the FMI image using the 2-D wavelet transform. The second step is to calculate a segmentation threshold based on the average value of the edge pixels. Field data processing examples show that sub-images of vugs and fractures can be correctly separated from original FMI data continuously and automatically along the depth axis. The image segmentation lays the foundation for in-situ parameter calculation.

Characterization of a Powertrain Test Bed in the Context of Virtual Validation of Drivability

Technological trends in the automotive industry toward a software-defined and autonomous vehicle require a reassessment of today’s vehicle development process.The validation process soaringly shapes after starting with hardware-in-the-loop testing of control units and reproducing real-world maneuvers and physical interaction chains.Here,the road-to-rig approach offers a vast potential to reduce validation time and costs significantly.The present research study investigates the maneuver reproduction of drivability phenomena at a powertrain test bed.Although drivability phenomena occur in the frequency range of most up to 30∙Hz,the design and characteristics substantially impact the test setup’s validity.By utilization of modal analysis,the influence of the test bed on the mechanical characteristic is shown.Furthermore,the sensitivity of the natural modes of each component,from either specimen or test bed site,is determined.In contrast,the uncertainty of the deployed measurement equipment also affects the validity.Instead of an accuracy class indication,we apply the ISO/IEC Guide 98 to the measurement equipment and the test bed setup to increase the fidelity of the validation task.In conclusion,the present paper contributes to a traceable validity determination of the road-to-rig approach by providing objective metrics and methods.

Landslide monitoring in southwestern China via time-lapse electrical resistivity tomography

The dynamic monitoring of landslides in engineering geology has focused on the correlation among landslide stability,rainwater infiltration,and subsurface hydrogeology.However,the understanding of this complicated correlation is still poor and inadequate.Thus,in this study,we investigated a typical landslide in southwestern China via time-lapse electrical resistivity tomography（TLERT） in November 2013 and August 2014.We studied landslide mechanisms based on the spatiotemporal characteristics of surface water infiltration and flow within the landslide body.Combined with borehole data,inverted resistivity models accurately defined the interface between Quaternary sediments and bedrock.Preferential flow pathways attributed to fracture zones and fissures were also delineated.In addition,we found that surface water permeates through these pathways into the slipping mass and drains away as fissure water in the fractured bedrock,probably causing the weakly weathered layer to gradually soften and erode,eventually leading to a landslide.Clearly,TLERT dynamic monitoring can provide precursory information of critical sliding and can be used in landslide stability analysis and prediction.

Theoretical prediction of forming limit diagram of AZ31 magnesium alloy sheet at warm temperatures

A theoretical prediction on forming limit diagram（FLD） of AZ31 magnesium alloy sheet was developed at warm temperatures based on the M-K theory. Two different yield criteria of von Mises and Hill＇48 were applied in this model. Mechanical properties of AZ31 magnesium alloy used in the prediction were obtained by uniaxial tensile tests and the Fields-Backofen equation was incorporated in the analysis. In addition, experimental FLDs of AZ31 were acquired by conducting rigid die swell test at different temperatures to verify the prediction. It is demonstrated from a comparison between the predicted and the experimental FLDs at 473 K and 523 K that the predicted results are influenced by the type of yield criterion used in the calculation, especially at lower temperatures. Furthermore, a better agreement between the predicted results and experimental data for AZ31 magnesium alloy sheet at warm temperatures was obtained when Hill＇48 yield criterion was applied.

9μm Cutoff 128×128 AlGaAs/GaAs Quantum Well Infrared Photodetector Focal Plane Arrays

We design and fabricate a 128 × 128 AlGaAs/GaAs quantum well infrared photodetector focal plane array （FPA）. The device is achieved by metal organic chemical vapor deposition and GaAs integrated circuit processing technology. A test structure of the photodetector with a mesa size of 300μm × 300μm is also made in order to obtain the device parameters. The measured dark current density at 77K is 1.5 × 10^-3A/cm^2 with a bias voltage of 2V. The peak of the responsivity spectrum is at 8.4μm,with a cutoff wavelength of 9μm. The blackbody detectivity is shown to be 3.95 × 10^8 （cm · Hz^1/2）/W. The final FPA is flip-chip bonded on a CMOS read-out integrated circuit. The infrared thermal images of some targets at room temperature background are successfully demonstrated at 80K operating temperature with a ratio of dead pixels of less than 1%.