Cultural Conflicts and Fusion in the Process of Christianity Disseminating in China

This paper focuses on cultural conflicts,mainly conflicts of God oriented and people oriented world view,different view towards human nature- virtue culture and guilt culture,the theology that all are equal before God and hierarchical order tradition,monotheism and polytheism,conflict between the doctrine and the concept of clan,briefly,that between Chinese traditional culture and Christian doctrine in the process of the religion disseminating in China.It also touches upon the beneficial attributes of Chinese culture for the fusion of the two culture patterns.

Study on the Urban and Rural Cultural Conflict and Fusion in Novels

From the distinct boundary consciousness contrast between rural and urban areas as two fields,the social life portrayals in Chinese novels are reflected.In Chinese novels,however,great importance is attached to the rural novels,while urban novels are thought lightly;the mainstream is rural novel,while urban novel is turned into only a tributary.During the long development period of the novels,the conflict between the urban and rural different cultures is significant.The expression to different fields in rural and urban novels and the conflict between the rural and urban cultures in novels are analyzed,and finally the fusion of the urban and rural relationship in the novels during this period is introduced.

A New Fusion Method for Conflicting Evidence

A new conflicting evidence fusion method is proposed for the deficiency of Dempster's rule which can not fuse the conflicting evidence. Evidence is divided into three categories:believable evidence, non-conflicting evidence and conflicting evidence. The influences of these three categories of evidences on fusion results when discounted are analyzed respectively. On these bases, the evidence distance and the conjunctive conflict are utilized in sequence to recognize the believable evidence and non-conflicting evidence. The discounting factors of these two categories of evidences are set to one, which keeps the evidences support the true hypothesis to the greatest degree, and makes the fusion results focus onto the true hypothesis. Examples of some missile fault diagnosis show that the new method can effectively fuse the conflicting evidences, and is suited to fuse the relievable evidences. The new method improves the reliability and rationality of fusion results compared with traditional methods.

Cultural Fusions and Conflicts in Kong fu Panda' Translations

Nowadays,cultural fusions and conflicts have become a hot issue.People do not know why they have so many influences,especially in the films’translations;the fusions and conflicts even have a new image.Follow some experts’footprints;I will analyze the cultural fusions and conflicts that appear in films’translations.As everyone knows,Assimilation and dissimilation are very common when we translate the lines.I will analyze a famous film,Kong Fu Panda,everyone likes films,so everyone in the world can feel this strong impact.To anyone who likes enjoying films,the translation of the lines can make a great difference on them.Films produced by foreign countries can be difficult to understand if the lines refer to some local cultures.From this point,how to deal with the cultural factors is a problem we meet.Generally speaking,as the same to other literary translations,the cultural factors in films’translations are difficult to control.To some degree,whether the understanding of the words is right or not is determined by one's knowledge of the relevant cultural factors.If the translators lack the comparable knowledge of different cultures,it is totally a blank to have a correct understanding and expression.

中华优秀传统法律文化的核心问题及其传承路径

中华优秀传统法律文化包括法律思想、法律制度的静态规范及动态实践。遵循中华优秀传统法律文化的构成逻辑,可围绕核心问题并从以下五个论题分别探讨中华传统法律文化的传承路径和具体转换方式:中国传统法的理想性与现实性交织问题;中国传统法政关系的交互影响模式;中国传统法律体系的模式选择、原理;中国传统法律发展历程中的文化冲突、融合方式;中国具体法律实践中的传统智慧,并阐明各论题之间的相互关系。

人类文化互动的趋势——基于“文化工具论”的评析

在全球化时代,人类文化即各族群文化的互动演化趋势会怎样?马汉和亨廷顿认为这是“文化的冲突”,并先后给出了自己的系统论证。但他们说的文化冲突其实既不是文化本身的相互冲突,也不是由于文化的不同引发的冲突,而都是利益之争的冲突。除此外是否还会有可以成立的文化冲突论?根据“文化工具论”的评析也不会。因为文化的冲突只会出现在使用文化工具时仅有的两个特殊情境中,不可能成为具有普遍性的趋势。相反,文化的融合才是人类文化互动的趋势。因为文化是满足人需求的工具,工具的种类越多越好,于是,很多具有优越性和独特性的文化工具会从一个族群流入其他族群。也许有人担忧人类文化互动的融合趋势会消除族群文化的个性或世界文化的多样性,从而使人类文化不能继续在差异中相互促进。通过文化工具论的评析可知,这同样是完全不必要的担忧。

D-S证据理论在空中目标识别中的应用现状与展望

D-S证据理论作为一种多源信息融合工具,在空中目标识别领域中得到了广泛应用。对D-S证据理论进行了概述;简要梳理了D-S证据理论在空中目标识别领域中的发展脉络,并提出应用中需要解决的三类关键问题;围绕上述问题,重点对该领域中的BPA获取、证据冲突度量、证据融合的应用现状进行综述;最后,基于空域控制视角,对D-S证据理论在该领域中的应用进行了展望。研究可为空中目标识别领域的理论发展和工程应用提供参考。

基于CD-BSMOTE的D-S证据融合变压器故障诊断

针对变压器油中溶解气体数据集不均衡特性对故障诊断结果的影响,提出一种基于清除临界点改进的边界合成少数类过采样算法均衡数据集和Pearson冲突距离改进D-S证据融合的变压器故障诊断模型。首先,对少数类样本进行均衡化处理,根据K-means聚类结果清除处于临界位置的样本;其次,搭建梯度提升树、随机森林、BP神经网络的故障诊断模型,实现变压器故障初步诊断;接着引入Pearson冲突距离改进D-S证据融合模型,实现诊断结果的融合决策;最后,经实际算例分析,诊断精确率达到92.65%。结果表明,所建模型能有效解决数据不平衡对诊断结果的影响,提高故障诊断精度。

技术“傲慢”与教育“偏见”:一个场域冲突的视角

厘清技术与教育的关系,是实现技术与教育深度融合的基本前提,也是技术时代讲好教育故事的必然选择。历史地看,技术与教育的双向互动,呈现出“傲慢”与“偏见”的相互博弈,技术对教育大致经历了从“沉睡”到“觉醒”再到“扩张”的阶段性旅程,教育对技术则进行了从“无视”到“接纳”再到“迷失”的即时性回应。基于此,文章从场域冲突的视角,分析了技术“傲慢”与教育“偏见”的成因:“技术意向性”与“教育对象性”的结构冲突、“形而下之器”与“形而上之道”的惯习冲突、“技术成事”与“教育成人”的权力冲突。由此,造成了主体性消解、创新性束缚、生命性遮蔽等问题。为更好促成两者的深度融合,需要在“载道于器”层面上把握技术辅助教育的功能定位,在“以道御器”层面上把握教育主导技术的育人核心,在“道器相长”层面上把握教育协同技术的相向而行。

基于改进证据理论的冲突证据融合方法

为解决证据理论中Dempster组合规则融合高度冲突证据效果不佳的问题,提出一种同时考虑证据重要性与可靠性的综合权重生成方法和基于加权复数基本概率分配函数的证据融合方法。以提高证据融合结果的收敛性能和诊断精度为目标,建立相应的优化证据融合模型。实验结果表明,所提方法能够有效识别并处理证据冲突,克服证据加权融合过程中剩余信度被完全抛弃的问题,获得更好的融合结果和更快的收敛速度,提高诊断精度。

基于联系云和改进冲突证据融合算法的泥石流易发性评价

泥石流作为一种常见的地质灾害,其形成机制复杂,影响指标众多且呈现多重不确定性,为综合考虑多种影响因素协同作用,基于信息融合和不确定性分析理论,提出一种基于证据理论和云模型的泥石流易发评价方法。首先,应用联系云模型(CCM)计算泥石流易发性关键评价指标的基本概率分配函数(BPA);然后,引入兰氏距离和邓氏熵,分别修正指标BPA的可信度和不确定度,得到修正后的BPA;最后,基于D-S证据理论对修正BPA进行证据融合,实现泥石流易发性评价,并进行实例验证。结果表明:所采用的CCM能够克服正态云模型计算BPA时要求指标为正态分布的缺陷,并考虑的指标分布的随机性和不确定性;提出的方法与其他4种常用的证据融合方法评价结果基本吻合,用于泥石流易发性评价有效可行;基于兰氏距离和邓氏熵改进的冲突证据融合算法可提高证据融合的收敛速度和精度,并且结果更准确可靠。

基于Transformer与图卷积网络的行为冲突检测模型

近年来,随着监控摄像头的不断增多和互联网的迅速发展,监控视频与网络视频越来越多,对视频进行自动行为冲突检测对降低人为审核导致的隐私信息泄露风险及维护社会治安、净化网络环境等具有重要意义.为了充分提取视频中的行为冲突特征,并获得有较好泛化能力与检测效果的模型,采用I3D(inflated 3D convolutional network)与VGGish,基于XD-Violence进行多模态特征的提取,并提出了基于Transformer和图卷积网络的行为冲突检测模型TG-BCDM(behavior conflict detection model based on Transformer and graph convolution networks).该模型包含Transformer编码器模块和图卷积模块,可以在有效捕捉视频中长距离依赖关系的同时,关注视频特征的全局信息和局部信息.经过实验证明,该模型优于现有的8种方法.

一种新的证据理论改进策略

针对Dempster-Shafer(D-S)证据理论应用于有冲突的证据间融合时,出现证据理论不可用或者得出与事实相悖结论的问题,提出了一种新的证据理论改进策略。首先,通过计算不同证据源之间的距离来度量证据间的相似度,从而判别异常证据体;然后,根据证据对焦元的信任情况以及信任度的大小设置每个证据体的外权重和内权重,再使用加权平均的算法构造出新的替换证据;最后运用原有的组合规则对多源信息进行融合。仿真结果表明,基于这种新的加权方式的策略是有效的,可以解决融合时出现的悖论问题,相较于其他同类改进算法,具有更高的证据信任度。

Combination method of conflict evidences based on evidence similarity

Aiming at the problem that the traditional Dempster Shafer (D-S) evidence theory cannot deal with conflicted evidences effectively and correctly, this paper points out that the key issue of this problem is to measure the degree of conflict between evidences correctly after analyzing various improved methods. The existing evidence conflict measure methods are analyzed, and a new evidence conflict measure method called evidence similarity measure based on the Tanimoto measure is proposed, while a new evidence combination method is proposed on the basis of evidence similarity measure. Firstly, the conflict degrees between evidences are obtained through the evidence similarity measure. Then the evidence sources are modified based on the credibility of different evidences and the weights of conflicted parts of evidences on different focal elements are determined. Finally, the fusion result is obtained by this method. Numerical examples show that the proposed method can effectively fuse evidences when evidences are consistent or highly conflicted, and it has a fast convergence speed, a high degree of accuracy and good adaptability.

Analyses on Cultural Differences and Fusion Between Chinese and Americans in The Joy Luck Club

This paper chiefly discusses the cultural conflicts and reconciliations between characters in The Joy Luck Club from an inter-cultural perspective and comes to a conclusion that the fusion of different cultures is a tendency in the world.

New conflict representation model in generalized power space

The study on alternative combination rules in Dempster- Shafer theory （DST） when evidences are in conflict has emerged again recently as an interesting topic, especially in data/information fusion applications. The earlier researches have mainly focused on investigating the alternative which would be appropriate for the conflicting situation, under the assumption that a conflict is identified. However, the current research shows that not only the combination rule but also the classical conflict coefficient in DST are not correct to determine the conflict degree between two pieces of evidences. Most existing methods of measuring conflict do not consider the open world situation, whose frame of discernment is incomplete. To solve this problem, a new conflict representa- tion model to determine the conflict degree between evidences is proposed in the generalized power space, which contains two parameters： the conflict distance and the conflict coefficient of inconsistent evidences. This paper argues that only when the con- flict measure value in the new representation model is high, it is safe to say the evidences are in conflict. Experiments illustrate the efficiency of the proposed conflict representation model.

一种基于麦克斯韦电磁力的证据冲突表示方法

D-S(Dempster-Shafer)证据理论是处理不确定信息的有效方法,但仍然存在着证据之间的冲突问题。引入麦克斯韦电磁力理论,将证据理论中不同证据之间存在冲突与融合的问题转换为电磁力理论下的电磁斥力与电磁引力问题,该转换提出了一种新的证据间距离的量化方法。其中,在传统的冲突系数中引入了证据距离因素,并提出了一种新的证据冲突表示方法,提高了冲突系数的灵敏度。仿真结果表明,该方法在故障诊断中的识别率比传统方法更高,证明了本文所提方法的正确性和有效性。

改进D-S算法的多感知机器人泄漏源识别研究

危化品泄漏场域环境复杂多变,泄漏源的识别受风速、光照强度、噪声等多重因素影响,当前多以智能机器人探测,利用嗅觉或视觉进行目标识别,但单类传感器识别结果可靠性差,提出一种改进Dempster-Shafer(D-S)证据理论的识别方法,模拟人类多感官识别机制,综合处理嗅觉、视觉和听觉识别信度;通过引入参考证据获取证据源全局信息,解决了经典D-S算法中存在的证据冲突问题,并在MATLAB中进行了算例验证。结果表明,相比嗅觉、视觉和听觉单类传感器识别信度分别提高了42.5%、51.2%和38.4%;对于冲突数据,克服了经典D-S算法、Yager算法融合失效的缺陷,相比Murphy算法识别信度提高了33%,可实现泄漏源的高信度识别,融合决策可靠性好。

基于D-S证据理论的多模态结果级融合框架研究

多模态融合感知是自动驾驶的研究热点之一,然而在复杂交通环境下由于天气、光照等外部因素干扰,目标识别可能出现错误,融合时会不可避免地出现分类冲突问题。为此,本文提出一种基于D-S证据理论的多模态结果级融合框架,将深度神经网络的置信度得分输出并作为D-S证据理论的概率密度函数,通过证据组合修正冲突的分类结果,该框架可以解决任意模态之间融合的分类冲突问题。基于KITTI数据集对该框架进行实验验证,实验测试的结果表明,框架输出的融合结果较单一感知网络mAP值均能提高8%左右,其中Yolov3与Pointpillar的融合结果相较于Pointpillar单一网络感知结果mAP值提高32%,且在复杂交通环境下能够有效解决多模态融合后的分类冲突问题。

基于相容系数的多传感器融合目标识别方法

针对车型识别技术存在类别判定冲突问题,提出基于相容系数的多传感器融合目标识别方法。首先,采用多假设思想实现多传感器异构数据聚类合并获取单帧融合检测结果;然后,计算证据之间的相容系数对证据冲突重新分配,结合Dezert-Smarandache理论(DSmT)来处理单帧融合后可能出现的证据冲突情况,并获取目标类别的准确识别结果。实测数据结果表明,该方法能克服传感器检测范围受限问题和类别判定冲突问题,目标识别准确率可达93%以上,降低了目标识别的漏检率和误检率,可达到良好的目标识别准确性能。