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汉语和韩语都具有很多量词,在生活当中普遍使用。汉韩两语言的量词存在着不少相似点,也存在着很多差异。几十年以来,中国和韩国的许多学者做了很多方面的量词研究。目前研究汉语量词教学的较多,而关于量词与相关成分搭配的选择限制研究并不多;同时,很多韩国学生学习量词时的失误、偏误也经常发生。为此,本文在解决韩国学生汉语量词学习困难为目的,在汉韩量词比较的基础上,着重分析汉语量词的语义特征及其对搭配成分的选择限制作用,提出对韩国学生的教学方法建议。本文的主体结构是:第一章分析韩国学生在学习汉语量词时发生的偏误及其类型;第二章用比较法和举例法阐述汉语和韩语的量词对比;第三章解释了根据汉语量词的语义特征来选择限制来搭配量词词组;第四章提出如何教授韩国学生汉语量词的教学建议。希望本文对学习汉语的韩国学生与此后研究汉语量词的学者有帮助。

关键词：汉韩量词对比量词偏误分析汉语量词教学建议

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用现成微处理机完成复杂的遥测预处理

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遥测遥控 1987年第3期 52-55页

作者： Christopher V. ham

本文介绍一个以微处理机为主机的系统,用以对复杂的高速遥测数据进行预处理。所用的微机是最新式的Motoroloa68020系列计算机。本文全面介绍系统的硬件和软件,并对所用的复杂算法和有关的数据处理作了说明。着重报道涉及参数容量和数据... 详细信息

本文介绍一个以微处理机为主机的系统,用以对复杂的高速遥测数据进行预处理。所用的微机是最新式的Motoroloa68020系列计算机。本文全面介绍系统的硬件和软件,并对所用的复杂算法和有关的数据处理作了说明。着重报道涉及参数容量和数据吞吐率的测试结果。对系统的体系结构采用多种通用的折衷法进行了分析,本系统把兆字极的遥测数据(如废点剔除、相位对齐和参数推导等)预处理技术推向新的高度。

关键词：遥测预处理

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Skin Lesion Segmentation and Classification Using Conventional and Deep Learning Based Framework

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Computers, Materials & Continua 2022年第5期71卷 2477-2495页

作者： Amina Bibi Muhamamd Attique Khan Muhammad Younus Javed Usman Tariq Byeong-Gwon Kang Yunyoung Nam reham r.Mostafa rasha H.Sakr Department of Computer Science HITEC UniversityTaxilaPakistan College of Computer Engineering and Sciences Prince Sattam Bin Abdulaziz UniversityAl-KhrajSaudi Arabia Department of ICT Convergence Soonchunhyang UniversityAsan31538Korea Information Systems Department Faculty of Computers and Information SciencesMansoura UniversityMansoura35516Egypt Computer Science Department Faculty of Computers and Information SciencesMansoura UniversityMansoura35516Egypt

Background:In medical image analysis,the diagnosis of skin lesions remains a challenging *** lesion is a common type of skin cancer that exists *** is one of the latest technologies used for the diagnosis of skin ***:Many computerized methods have been introduced in the literature to classify skin ***,challenges remain such as imbalanced datasets,low contrast lesions,and the extraction of irrelevant or redundant *** Work:In this study,a new technique is proposed based on the conventional and deep learning *** proposed framework consists of two major tasks:lesion segmentation and *** the lesion segmentation task,contrast is initially improved by the fusion of two filtering techniques and then performed a color transformation to color lesion area color ***,the best channel is selected and the lesion map is computed,which is further converted into a binary form using a thresholding *** the lesion classification task,two pre-trained CNN models were modified and trained using transfer *** features were extracted from both models and fused using canonical correlation *** the fusion process,a few redundant features were also added,lowering classification accuracy.A new technique called maximum entropy score-based selection(MESbS)is proposed as a solution to this *** features selected through this approach are fed into a cubic support vector machine(C-SVM)for the final ***:The experimental process was conducted on two datasets:ISIC 2017 and *** ISIC 2017 dataset was used for the lesion segmentation task,whereas the ham10000 dataset was used for the classification *** achieved accuracy for both datasets was 95.6% and 96.7%, respectively, which was higher thanthe existing techniques.

关键词： Skin cancer lesion segmentation deep learning features fusion classification

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可程控高压放大器

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国外计量 1990年第6期 43-45页

作者： ham.,TDS 胡希平

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利用MWD进行水平井层位监控和地层评价

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国外钻井技术 1992年第3期7卷 29-34页

作者：汪志明 ham.,LrB

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用于成组制造系统的聚类分析法

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成组技术与生产现代化 1986年第2期 13-20页

作者： A·Gongaware,Inyong ham,焦虹 (美)宾州大学Terry (美)宾州大学Terry 哈尔滨工业大学

本文把聚类分析做为一种方法在计算机辅助制造情况下应用于成组技术中以识别加工的相似性。做为一个实例,聚类分析已用来形成零件族。在日益复杂的应用中已用工业数据检验聚类分析的适用性及应用它的最好方法,结果表明用预先定义的结构... 详细信息

本文把聚类分析做为一种方法在计算机辅助制造情况下应用于成组技术中以识别加工的相似性。做为一个实例,聚类分析已用来形成零件族。在日益复杂的应用中已用工业数据检验聚类分析的适用性及应用它的最好方法,结果表明用预先定义的结构以零件分类和编码系统为基础的多目标方法是目前及将来最有前途的,它可以更快地得到结果,比现在人工法得到的准确。多目标法使成组技术在制造任务很大的范围内均可应用。

关键词：聚类分析法算法数列零件族成组分类编码系统生产流程分析法

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Introgression the Salinity Tolerance QTLs <i>Saltol</i>into AS996, the Elite rice Variety of Vietnam

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American Journal of Plant Sciences 2012年第7期3卷 981-987页

作者： Luu T. N. Huyen Luu M. Cuc Abdelbagi M. Ismail Le H. ham Agricultural Genetics Institute Vietnam Academy of Agricultural Sciences International rice research Institute - DAPO Box 7777 Metro Manila Philippine.

This study focus on developing new salinity tolerance and high yielding rice lines, using markers assisted backrossing (MABC). Total of 500 SSr markers on 12 rice chromosomes were screened for parental polymorphic markers. Of which, 52 primers in the Saltol region were checked with the two parents varieties to identify polymorphic primers for screening the Saltol region of the breeding populations. For each backcross generation of ASS996/FL478, approx. 500 plants were screened with 63 polymorphic markers distributed on 12 chromosomes. The two BC1F1 plants P284 and P307 which had the highest recipient alleles up to 89.06% and 86.36%, were chosen for the next backcrossing. Three BC2F1 plants with the recipient alleles up to 94.03% and 93.18% were used to develop BC3F1 generation. The best BC3F1 plant was P284-112-209 with all the recipient alleles and Saltol region. The four plants P307-305-21, P284-112-195, P284-112-198, P284-112-213 were the second ranking with only one loci heterozygous (applied 63 markers covered on 12 chromosomes). These five plants were chosen as the breeding lines for result of Saltol-AS996 introgression. The breeding line BC4F1 having 100% genetic background of donor variety is ready for develop new salinity tolerant variety ASS996-Saltol to cope with climate change.