针对大流检测、突变流检测和基数估计等的网络流量测量对保障网络安全具有重要意义.但当前相关研究存在实时性不足、测量精度不高等问题.针对上述问题,设计了一种基于多层Sketch(multiple layer sketch, ML Sketch)的网络流量测量模型....针对大流检测、突变流检测和基数估计等的网络流量测量对保障网络安全具有重要意义.但当前相关研究存在实时性不足、测量精度不高等问题.针对上述问题,设计了一种基于多层Sketch(multiple layer sketch, ML Sketch)的网络流量测量模型.首先,该模型采用自主设计的ML Sketch结构,使用分类存储结构提高了流量测量的精度.其次,在SDN(software defined network)环境下利用流量实时回放技术,模拟了流量的动态发生场景.最后,在SDN控制平面实现了对大流、突变流和基数估计类流量的实时动态检测.在UNSW-NB15上的实验结果表明,与传统Sketch结构相比,所设计的ML Sketch结构在F1_Score指标上最高提高4.81%,相关误差最高降低81.12%,验证了该模型的有效性.展开更多
基于在线语料库检索工具Sketch Engine,利用其目标语料库Japanese Web 2011 (jaTenTen11)中的词语索引功能与词汇素描差异功能,考察了近义词「願う」「祈る」的词语搭配规律及语义特征。通过考察「願う」与「祈る」这两个动词与宾格名...基于在线语料库检索工具Sketch Engine,利用其目标语料库Japanese Web 2011 (jaTenTen11)中的词语索引功能与词汇素描差异功能,考察了近义词「願う」「祈る」的词语搭配规律及语义特征。通过考察「願う」与「祈る」这两个动词与宾格名词的共现显著性,并通过分布图直观清晰地呈现它们的分布情况,发现「願う」与物质性名词或动作性名词搭配,表“希望对方给予建议”或“请求某人做某事”之义;「祈る」多与状态性名词搭配,如与身体状况和农业生产丰收相关的名词搭配,带有宗教色彩。这种研究方法不仅克服了传统近义词辨析中可能存在的主观性和片面性,还使得研究结果更加客观、直观且具有说服力。 Based on the online corpus retrieval tool Sketch Engine, the word indexing function and vocabulary sketching difference function of its target corpus Japanese Web 2011 (jaTenTen11) were used to investigate the word collocation rules and semantic features of synonyms “Negau” and “Inoru”. By examining the co-occurrence significance of the verbs “Negau” and “Inoru” with objective nouns, and presenting their distribution clearly and intuitively through a distribution map, it was found that “Negau” is paired with material or action nouns to express the meaning of “hoping for advice from the other party” or “requesting someone to do something”;“Inoru” is often paired with situa-tional nouns, such as those related to physical condition and agricultural production, with religious connotations. This research method not only overcomes the subjectivity and one sidedness that may exist in traditional synonym analysis, but also makes the research results more objective, in-tuitive, and persuasive.展开更多
在日语中,「準備」和「用意」是学习者容易混淆的一对近义词。本研究利用Sketch Engine平台的Japanese Web 2011语料库,系统收集了这两个词作为名词及サ变动词使用时的大量词语搭配实例,并进一步考察了它们在表达准备行为时的不同语义...在日语中,「準備」和「用意」是学习者容易混淆的一对近义词。本研究利用Sketch Engine平台的Japanese Web 2011语料库,系统收集了这两个词作为名词及サ变动词使用时的大量词语搭配实例,并进一步考察了它们在表达准备行为时的不同语义倾向。本研究不仅有利于日语学习者准确理解和使用这两个词,还可为日语教学提供较为具体的指导建议。In Japanese, “準備(junbi)” and “用意(yōi)” are considered near-synonyms that are frequently confused by learners. This study employed the Japanese Web 2011 corpus accessible through the Sketch Engine platform to systematically gather a substantial number of lexical collocations for these terms when employed as nouns and in their suru-verb forms. We further examined their distinct semantic nuances when expressing preparatory actions. Our research not only assists Japanese language learners in accurately understanding and utilizing these terms but also offers specific guidance for Japanese language instruction.展开更多
三维软件建模凭借它真实的场景展现和其直观的视觉感受,成了三维地理信息系统(geographic information system,GIS)领域的主要研究方向。三维软件建模法构建的模型真实、美观,能非常精细地表现地物的特征和细节。通过对3Ds Max和Sketch...三维软件建模凭借它真实的场景展现和其直观的视觉感受,成了三维地理信息系统(geographic information system,GIS)领域的主要研究方向。三维软件建模法构建的模型真实、美观,能非常精细地表现地物的特征和细节。通过对3Ds Max和Sketch Up两种不同三维软件建模方法的比较分析,总结出两种软件各自的优势,然后将两者的优点相结合,能更加快速完整地进行三维模型构建。通过对联合建模方法的研究,能够为三维软件建模提供一种更为简洁的方法,从而缩短建模的时间,减少人力消耗。展开更多
文摘针对大流检测、突变流检测和基数估计等的网络流量测量对保障网络安全具有重要意义.但当前相关研究存在实时性不足、测量精度不高等问题.针对上述问题,设计了一种基于多层Sketch(multiple layer sketch, ML Sketch)的网络流量测量模型.首先,该模型采用自主设计的ML Sketch结构,使用分类存储结构提高了流量测量的精度.其次,在SDN(software defined network)环境下利用流量实时回放技术,模拟了流量的动态发生场景.最后,在SDN控制平面实现了对大流、突变流和基数估计类流量的实时动态检测.在UNSW-NB15上的实验结果表明,与传统Sketch结构相比,所设计的ML Sketch结构在F1_Score指标上最高提高4.81%,相关误差最高降低81.12%,验证了该模型的有效性.
文摘基于在线语料库检索工具Sketch Engine,利用其目标语料库Japanese Web 2011 (jaTenTen11)中的词语索引功能与词汇素描差异功能,考察了近义词「願う」「祈る」的词语搭配规律及语义特征。通过考察「願う」与「祈る」这两个动词与宾格名词的共现显著性,并通过分布图直观清晰地呈现它们的分布情况,发现「願う」与物质性名词或动作性名词搭配,表“希望对方给予建议”或“请求某人做某事”之义;「祈る」多与状态性名词搭配,如与身体状况和农业生产丰收相关的名词搭配,带有宗教色彩。这种研究方法不仅克服了传统近义词辨析中可能存在的主观性和片面性,还使得研究结果更加客观、直观且具有说服力。 Based on the online corpus retrieval tool Sketch Engine, the word indexing function and vocabulary sketching difference function of its target corpus Japanese Web 2011 (jaTenTen11) were used to investigate the word collocation rules and semantic features of synonyms “Negau” and “Inoru”. By examining the co-occurrence significance of the verbs “Negau” and “Inoru” with objective nouns, and presenting their distribution clearly and intuitively through a distribution map, it was found that “Negau” is paired with material or action nouns to express the meaning of “hoping for advice from the other party” or “requesting someone to do something”;“Inoru” is often paired with situa-tional nouns, such as those related to physical condition and agricultural production, with religious connotations. This research method not only overcomes the subjectivity and one sidedness that may exist in traditional synonym analysis, but also makes the research results more objective, in-tuitive, and persuasive.
文摘在日语中,「準備」和「用意」是学习者容易混淆的一对近义词。本研究利用Sketch Engine平台的Japanese Web 2011语料库,系统收集了这两个词作为名词及サ变动词使用时的大量词语搭配实例,并进一步考察了它们在表达准备行为时的不同语义倾向。本研究不仅有利于日语学习者准确理解和使用这两个词,还可为日语教学提供较为具体的指导建议。In Japanese, “準備(junbi)” and “用意(yōi)” are considered near-synonyms that are frequently confused by learners. This study employed the Japanese Web 2011 corpus accessible through the Sketch Engine platform to systematically gather a substantial number of lexical collocations for these terms when employed as nouns and in their suru-verb forms. We further examined their distinct semantic nuances when expressing preparatory actions. Our research not only assists Japanese language learners in accurately understanding and utilizing these terms but also offers specific guidance for Japanese language instruction.
文摘三维软件建模凭借它真实的场景展现和其直观的视觉感受,成了三维地理信息系统(geographic information system,GIS)领域的主要研究方向。三维软件建模法构建的模型真实、美观,能非常精细地表现地物的特征和细节。通过对3Ds Max和Sketch Up两种不同三维软件建模方法的比较分析,总结出两种软件各自的优势,然后将两者的优点相结合,能更加快速完整地进行三维模型构建。通过对联合建模方法的研究,能够为三维软件建模提供一种更为简洁的方法,从而缩短建模的时间,减少人力消耗。
