工学结合背景下“船舶柴油机”立体化课程建设的实践探索

文章以轮机工程专业主干专业课“船舶柴油机”课程建设为例,以校企合作的形式制定新的课程标准。按工学结合的要求开发课程体系,改革教学方法,建设课程网站,多维化拓展教学空间,对工学结合教学模式的立体化课程建设进行了实践探索与研究。     

Application of Deep Learning Method on Ischemic Stroke Lesion Segmentation

Although deep learning methods have been widely applied in medical image lesion segmentation,it is still challenging to apply them for segmenting ischemic stroke lesions,which are different from brain tumors in lesion characteristics,segmentation difficulty,algorithm maturity,and segmentation accuracy.Three main stages are used to describe the manifestations of stroke.For acute ischemic stroke,the size of the lesions is similar to that of brain tumors,and the current deep learning methods have been able to achieve a high segmentation accuracy.For sub-acute and chronic ischemic stroke,the segmentation results of mainstream deep learning algorithms are still unsatisfactory as lesions in these stages are small and diffuse.By using three scientific search engines including CNKI,Web of Science and Google Scholar,this paper aims to comprehensively understand the state-of-the-art deep learning algorithms applied to segmenting ischemic stroke lesions.For the first time,this paper discusses the current situation,challenges,and development directions of deep learning algorithms applied to ischemic stroke lesion segmentation in different stages.In the future,a system that can directly identify different stroke stages and automatically select the suitable network architecture for the stroke lesion segmentation needs to be proposed.     

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在阐明ITS数据融合的意义及层次性的基础上，分析了数据层多源ITS数据融合及支持向量机的特点，根据支持向量机（SVM）的原理设计了利用支持向量机进行多源ITS数据融合的思路，并从支持向量机训练、训练结果评价以及支持向量机测试三个方面提出了该思路的实现步骤。在对日本阪神公路上堺入口的二源交通流数据进行支持向量机融合后，比较融合前后的数据，证明所提出的基于支持向量机技术的数据层多源ITS数据融合方法能够有效地进行数据质量控制，提高数据的精确度。     

COVID-19 Interpretable Diagnosis Algorithm Based on a Small Number of Chest X-Ray Samples

The COVID-19 medical diagnosis method based on individual's chest X-ray (CXR) is achieved dif-ficultly in the initial research,owing to difficulties in identifying CXR data of COVID-19 individuals.At the beginning of the study,infected individuals' CXRs were scarce.The combination of artificial intelligence (AI)and medical diagnosis has been advanced and popular.To solve the difficulties,the interpretability analysis of AI model was used to explore the pathological characteristics of CXR samples infected with COVID-19 and assist in medical diagnosis.The dataset was expanded by data augmentation to avoid overfitting.Transfer learning was used to test different pre-trained models and the unique output layers were designed to complete the model training with few samples.In this study,the output results of four pre-trained models in three different output layers were compared,and the results after data augmentation were compared with the results of the original dataset.The control variable method was used to conduct independent tests of 24 groups.Finally,99.23％ accuracy and 98％recall rate were obtained,and the visual results of CXR interpretability analysis were displayed.The network of COVID-19 interpretable diagnosis algorithm has the characteristics of high generalization and lightweight.It can be quickly applied to other urgent tasks with insufficient experimental data.At the same time,interpretability analysis brings new possibilities for medical diagnosis.     

基于改进的 NCSPSO -AFSA 对 SVM参数的优化及其应用

为了找到支持向量机（SVM）最佳的分类参数,用以构建适合纹理图像分割的SVM分类器,文中是将基于小生境和交叉选择算子的粒子群算法（ NCSPSO）引入变异算子和族外竞争机制加以改进后与人工鱼群算法（ AFSA）混合,提出了一种改进的NCSPSO-AFSA混合算法优化支持向量机参数,并分别与AFSA算法,粒子群算法（PSO）,NCSPSO算法在图像分割准确率、参数寻优时间、图像分割时间等方面进行对比和分析,实验表明文中算法能够更好地获得适用于纹理图像分割的SVM参数,在缩短图像分割时间的同时提高了图像分割准确率,相比较其他算法,文中算法稳健性更好。将此方法应用于电镜及超声纹理图像分割中能较好地提取出目标区域,图像边缘部分的分类也很清晰。     

基于D-S证据理论和BP算法的直流电机故障诊断研究

提出一种基于D-S证据理论和BP算法的故障诊断方法,通过分析直流电机的故障机理,得到电机在不同故障情况下表现的信号特征,给出了基于BP神经网络和D-S证据理论的多传感器数据融合技术的直流电机故障诊断方法,利用多源信息间的冗余性和互补性,有效提取故障特征信息,提高了诊断的可靠性和灵敏度.     

电焊机的节能及安全性改造

本文概述了ZXE-6x400型六头焊机进行节能性、安全性改造的过程及实施要点。     

论第二语言学习中输出语的功能

本文讨论了第二语言学习过程中输出语的三个功能，第一个是注意触发功能，第二个是假设验证功能，第三个是元语言功能，我们可以将输出语的的第三个功能作为教育的手段而促使另外两个功能产生作用，并探讨了输出语的功能在外语教学中对培养学生语言交际能力的作用。     

高职学生英语学习策略调查

近年来,语言学习策略一直是大学英语教学研究的焦点。语言学习策略对提高学习者的学习效率具有极其明显的作用,在大学英语教学中如何利用有效的语言学习策略提高学习效果是对每个教师提出的新问题。基于国内外学者的研究,对高职学生的英语学习策略进行调查,找出其中的规律,提出提高学习效果的策略,更好地指导他们学习英语。     

TLJ900t架桥机的设计与成型

采用已成型的整机及其分部组成的一组典型的实物照片,翔实地介绍了我国首台通过国家认证的900吨高速铁路架桥机的性能特点和设计情况,包括结构、机械、电气、液压和控制系统等。