College English Listening and Speaking Teaching Guided by Memetics

Memetics confirms the importance of recitation and imitation in college English teaching.Starting with the explanation of the replication cycle of language memes,this paper discusses how to use the memetic perspective in college English listening and speaking teaching,effectively transform the input language information into language output,and improve the classroom effect of college English listening and speaking teaching.

Implications of Memetics on Foreign Language Pragmatic Instruction

The main purpose of foreign language teaching(FLT) is not only to transmit knowledge of FL,but also to cultivate the pragmatic ability of learners on the base of practical communicative background.However,in what way that pragmatic instruction can be carried out effectively and reasonably remains a problem in FLT.Memetics as a kind of new theory which explains cultural evolution tends to place some implications on FL pragmatic instruction.This article focuses on the creative approaches of pragmatic instruction with the combination to the transmittable features of meme-copying-fidelity,fecundity and longevity.

Language and Culture: in View of Linguistic Memetics

Memetics is originally a theory for interpreting cultural evolution. Memes, coined to disclose a strong analogy with genes, are ideas that spread through human cultures and across the generation. As cultural replicators, memes are propagated and transmitted through imitation; language, as part of culture, produces under the influence of memes. This paper discusses the relationship between language and culture and that between language and memes. In addition, the classification of linguistic memes and the survival law residing in the memes are also expounded. The next research will focus on the impact of linguistic memes on translation and language teaching.

Memetics clarification of abnormal behavior

AIM： Biological medicine is hard to fully and scientifically explain the etiological factor and pathogenesis of abnormal behaviors; while, researches on philosophy and psychology （including memetics） are beneficial to better understand and explain etiological factor and pathogenesis of abnormal behaviors. At present, the theory of philosophy and psychology is to investigate the entity of abnormal behavior based on the views of memetics. METHODS： Abnormal behavior was researched in this study based on three aspects, including instinctive behavior disorder, poorly social-adapted behavior disorder and mental or body disease associated behavior disorder. Most main viewpoints of memetics were derived from ＂The Meme Machine＂, which was written by Susan Blackmore. When questions about abnormal behaviors induced by mental and psychological diseases and conduct disorder of teenagers were discussed, some researching achievements which were summarized by authors previously were added in this study, such as aggressive behaviors, pathologically aggressive behaviors, etc. RESULTS： The abnormal behaviors mainly referred to a part of people＇s substandard behaviors which were not according with the realistic social environment, culture background and the pathologic behaviors resulted from people＇s various psychological diseases. According to the theory of ＂meme＂, it demonstrated that the relevant behavioral obstacles of various psychological diseases, for example, the unusual behavior of schizophrenia, were caused, because the old meme was destroyed thoroughly but the new meme was unable to establish; psychoneurosis and personality disorder were resulted in hard establishment of meme; the behavioral obstacles which were ill-adapted to society, for example, various additional and homosexual behaviors, were because of the selfish replications and imitations of ＂additional meme＂ and ＂homosexual meme＂; various instinct behavioral and congenital intelligent obstacles were not significance for memetics. CONCLUSION： Generation of abnormal behavior is not only caused by complexly biological factors, also by philosophical and psychological entities.

A Study on Chinese Network Catchwords in 2018 From the Perspective of Memetics

With the advancement of information technology and in the current development of the network society, the emerging network language, driven by strong language memes, continually derives and spreads. Based on memetics, the paper analyzes the memes phenomenon of Chinese network catchwords in 2018 and that it can be categorized into three forms. And it further explores the reasons for the popularity of network catchwords: simplicity, vividness, and defamiliarization.

A Study of Translation Strategies of Culture-Loaded Words in Knechtges’ Ci and Fu Version From the Perspective of Memetics

Chinese Ci and Fu has a wide selection of materials and contains rich words.It is extensive and profound which is rich in Chinese cultural connotation and national characteristics.D.R.Knechtges is a famous Sinologist,specializing in Ci and Fu and being proficient in Wen Xuan.His translation of the Fu in Wen Xuan was a masterpiece.Through the perspective of memetics,this paper studies five kinds of culture-loaded words in Knechtges’version about Fu in Wen Xuan,analyzes translation strategies used in these translations,and discusses the transmission mechanism of the culture memes which are culture-loaded words.Then get the conclusion,the mode which is given priority to with foreignization,domestication strategy as the auxiliary pole,combination of transliteration,literal translation,free translation,and annotation translation method,is advantageous to the culture-loaded words in the target language culture becoming a strong memes and spreading widely in the foreign countries.

A Study on the Cyber Counterattack Language of Tangshan Violence From the Perspective of Memetics

On June 10,2022,a vicious violence event occurred in Tangshan,which attracted great attention on the Internet,and also caused chain reactions in the society,such as personal safety panic,fierce gender opposition,online reporting boom,and other ripple effect.There was a lot of counter comments against this event on the Internet.According to incomplete statistics,the counterattacks against Tangshan violence generally include five types:accusation,encouragement,empathy,irony,and retrospection.These counterattacks have the same profound impact as the brutal event itself,and the formation and development of this social impact can be explained and analyzed more or less through memetics.From the perspective of memetics,this paper will make a pragmatic analysis of the online counterattack against the Tangshan violence.The language materials are collected from the highly recognized and widely spreading posts and influential comments on social media such as Sina Weibo and Xiaohongshu.The results show that due to the existence of individual differences,different meme hosts have different understandings of the connotation of linguistic memes,and this understanding bias may lead to different meme hosts having completely different subjective attitudes when dealing with the same linguistic memes.

Analysis on the Application of Campus Catchword Variation to Guiding the Teaching and Leaming of College English from the Perspective of Memetics

Along with the development of new media such as film and television, the phenomenon of language variation has sprung up in the world. The variation of campus catchwords not only meets the demand of college students, and also expands with a great influence to the development of the modern Chinese language. In this paper, the application of campus catchword variation to guiding the teaching and learning of college English from the perspective of memetics is discussed and also the related reasons are analyzed.

A Memetics-based Study on the Linguistic Value of Web Language——Take the English Loanwords as an Example

This article argues that each important aspect of language communication has to be studied,which is conductive to the growth of linguistic knowledge and harmonious development of language life.In modern daily communication,language as a kind of meme plays a crucial and indispensable role in the process of social interaction.This article will concentrate on the emerging English loan words to explore its linguistic value.

Memetics:A Practical Translation Theory in Business Environment-Take Safeguard as an Example

Brand name translation plays an important role in foreign trade.From the perspective of memetics,this paper analyzes the sales and popularity of Luxury and Safeguard in China,discusses the persistence of Memetics and the cross-language transmission of brand memes,which is helpful for translators to translate authentic brand names,so as to speed up the reproduction and dissemination of brand names,increase the probability of becoming a strong meme,and enhance the international popularity of brands.

文化社会传递过程的“基因学”阐释及其未来——关于memetics的思考与批判

本文通过对文化研究的社会达尔文主义传统的概念史背景的考察揭示出,任何形式的关于文化的社会达尔文主义的研究路径,都是以关于心理进化符合与机体进化同样的逻辑的信念为前提的;memetics作为一种新兴的关于文化的"科学"思潮,事实上是一种形式的社会达尔文主义。又通过揭示心理进化所符合的它自己的逻辑证明,memetics作为关于文化的社会达尔文主义,在文化主题上完全迷失了方向。作者希望,本文的写作将有助于遏制在我国严肃学术界已经表现出的盲目追随memetics的动向和趋势。

基于B^(*)-树的连续微流控生物芯片流层物理设计方法

作为连续微流控生物芯片设计中的关键步骤,流层物理设计是一个复杂的多目标优化问题,传统方法通常将其分为布局和布线2个阶段。为弥补这2个阶段之间的交互不足,提出了一种基于B^(*)-树的流层物理设计方法,以提高解的质量和求解效率。在布局阶段,采用Memetic算法更高效地搜索解空间。在布线阶段,使用考虑通道顺序的基于协商的算法,同时将布线信息反馈给布局阶段,以调整布局并减少拥挤区域和通道交叉。实验结果表明,与现有算法相比,所提算法在芯片面积、通道总长度以及通道交叉数量等方面取得了更优的效果。

Optimal Scheduling Method of Cogeneration System with Heat Storage Device Based on Memetic Algorithm

Electric-heat coupling characteristics of a cogeneration system and the operating mode of fixing electricity with heat are the main reasons for wind abandonment during the heating season in the Three North area.To improve the wind-power absorption capacity and operating economy of the system,the structure of the system is improved by adding a heat storage device and an electric boiler.First,aiming at the minimum operating cost of the system,the optimal scheduling model of the cogeneration system,including a heat storage device and electric boiler,is constructed.Second,according to the characteristics of the problem,a cultural gene algorithm program is compiled to simulate the calculation example.Finally,through the system improvement,the comparison between the conditions before and after and the simulation solutions of similar algorithms prove the effectiveness of the proposed scheme.The simulation results show that adding the heat storage device and electric boiler to the scheduling optimization process not only improves the wind power consumption capacity of the cogeneration system but also reduces the operating cost of the system by significantly reducing the coal consumption of the unit and improving the economy of the system operation.The cultural gene algorithm framework has both the global evolution process of the population and the local search for the characteristics of the problem,which has a better optimization effect on the solution.

Vehicle Plate Number Localization Using Memetic Algorithms and Convolutional Neural Networks

This paper introduces the third enhanced version of a genetic algorithm-based technique to allow fast and accurate detection of vehicle plate numbers(VPLN)in challenging image datasets.Since binarization of the input image is the most important and difficult step in the detection of VPLN,a hybrid technique is introduced that fuses the outputs of three fast techniques into a pool of connected components objects(CCO)and hence enriches the solution space with more solution candidates.Due to the combination of the outputs of the three binarization techniques,many CCOs are produced into the output pool from which one or more sequences are to be selected as candidate solutions.The pool is filtered and submitted to a new memetic algorithm to select the best fit sequence of CCOs based on an objective distance between the tested sequence and the defined geometrical relationship matrix that represents the layout of the VPLN symbols inside the concerned plate prototype.Using any of the previous versions will give moderate results but with very low speed.Hence,a new local search is added as a memetic operator to increase the fitness of the best chromosomes based on the linear arrangement of the license plate symbols.The memetic operator speeds up the convergence to the best solution and hence compensates for the overhead of the used hybrid binarization techniques and allows for real-time detection especially after using GPUs in implementing most of the used techniques.Also,a deep convolutional network is used to detect false positives to prevent fake detection of non-plate text or similar patterns.Various image samples with a wide range of scale,orientation,and illumination conditions have been experimented with to verify the effect of the new improvements.Encouraging results with 97.55%detection precision have been reported using the recent challenging public Chinese City Parking Dataset(CCPD)outperforming the author of the dataset by 3.05%and the state-of-the-art technique by 1.45%.

Test Case Prioritization in Unit and Integration Testing:A Shuffled-Frog-Leaping Approach

Both unit and integration testing are incredibly crucial for almost any software application because each of them operates a distinct process to examine the product.Due to resource constraints,when software is subjected to modifications,the drastic increase in the count of test cases forces the testers to opt for a test optimization strategy.One such strategy is test case prioritization(TCP).Existing works have propounded various methodologies that re-order the system-level test cases intending to boost either the fault detection capabilities or the coverage efficacy at the earliest.Nonetheless,singularity in objective functions and the lack of dissimilitude among the re-ordered test sequences have degraded the cogency of their approaches.Considering such gaps and scenarios when the meteoric and continuous updations in the software make the intensive unit and integration testing process more fragile,this study has introduced a memetics-inspired methodology for TCP.The proposed structure is first embedded with diverse parameters,and then traditional steps of the shuffled-frog-leaping approach(SFLA)are followed to prioritize the test cases at unit and integration levels.On 5 standard test functions,a comparative analysis is conducted between the established algorithms and the proposed approach,where the latter enhances the coverage rate and fault detection of re-ordered test sets.Investigation results related to the mean average percentage of fault detection(APFD)confirmed that the proposed approach exceeds the memetic,basic multi-walk,PSO,and optimized multi-walk by 21.7%,13.99%,12.24%,and 11.51%,respectively.

Efficient Clustering Using Memetic Adaptive Hill Climbing Algorithm in WSN

Wireless Sensor Networks are composed of autonomous sensing devices which are interconnected to form a closed network.This closed network is intended to share sensitive location-centric information from a source node to the base station through efficient routing mechanisms.The efficiency of the sensor node is energy bounded,acts as a concentrated area for most researchers to offer a solution for the early draining power of sensors.Network management plays a significant role in wireless sensor networks,which was obsessed with the factors like the reliability of the network,resource management,energy-efficient routing,and scalability of services.The topology of the wireless sensor networks acts dri-ven factor for network efficiency which can be effectively maintained by perform-ing the clustering process effectively.More solutions and clustering algorithms have been offered by various researchers,but the concern of reduced efficiency in the routing process and network management still exists.This research paper offers a hybrid algorithm composed of a memetic algorithm which is an enhanced version of a genetic algorithm integrated with the adaptive hill-climbing algorithm for performing energy-efficient clustering process in the wireless sensor networks.The memetic algorithm employs a local searching methodology to mitigate the premature convergence,while the adaptive hill-climbing algorithm is a local search algorithm that persistently migrates towards the increased elevation to determine the peak of the mountain(i.e.,)best cluster head in the wireless sensor networks.The proposed hybrid algorithm is compared with the state of art clus-tering algorithm to prove that the proposed algorithm outperforms in terms of a network life-time,energy consumption,throughput,etc.

基于Gabor小波与Memetic算法的人脸识别方法

提出一种基于Gabor小波与Memetic算法的人脸识别方法MA-Gabor(Memetic Algorithm-Gabor).算法使用一组特定的Gabor小波滤波器对人脸图像重要区域进行针对性的特征提取运算,可在较短处理时间内获得更具区分能力的识别数据.为提升识别性能,MA-Gabor引入Memetic算法用于Gabor小波滤波器组的优化设计.实验结果表明,Memetic算法可获得比传统优化方法更佳的设计效果.通过将优化设计的Gabor小波滤波器组用于人脸图像的特征提取,MA-Gabor算法可取得比现有人脸识别方法更高的识别率.

基于Memetic算法的要地防空优化部署方法

火力单元优化部署问题是网络化防空火控系统的一个重要研究内容.本文将要地防空优化部署作为组合优化问题,优化目标为最大化部署方案对保护要地的防御贡献程度,约束主要考虑了地理条件和火力资源.利用网格离散化思想对防区进行划分,对部署方案、火力覆盖能力、约束条件以及火力覆盖要求等条件进行了表征,建立了问题的数学模型.构造了一种基于Memetic算法的优化求解方法,运用遗传算法和邻域搜索作为全局和局部搜索方法,用解的构造方式和选择策略处理了约束条件,比较了局部搜索使用不同邻域时算法的运行效率.最后通过实验验证了本方法的合理性和有效性.

求解多目标问题的Memetic免疫优化算法

将基于Pareto支配关系的局部下山算子和差分算子引入免疫多目标优化算法之中,提出了一种求解多目标问题的Memetic免疫优化算法(Memetic immune algorithm for multiobjective optimization,简称MIAMO).该算法利用种群中抗体在决策空间上的位置关系设计了两种有效的启发式局部搜索策略,提高了免疫多目标优化算法的求解效率.仿真实验结果表明,MIAMO与其他4种有效的多目标优化算法相比,不仅在求得Pareto最优解集的逼近性、均匀性和宽广性上有明显优势,而且算法的收敛速度与免疫多目标优化算法相比明显加快.

基于Memetic算法的超视距协同空战火力分配

针对超视距多机协同空战中,火力单元采用一次性完全分配原则容易造成资源浪费的问题,采用一种新的火力分配数学模型.该模型带有毁伤概率门限,能够保证在满足毁伤概率门限的前提下,优先保证威胁度大的目标被分配且选择对各目标杀伤概率相对较大的火力单元,使其对目标的毁伤概率平均值达到最大且尽量少地消耗火力单元,从而节省和充分利用火力资源.在此基础上,提出采用以离散粒子群算法为全局搜索策略,以贪婪算法为局部搜索策略的Memetics算法求解协同空战火力分配问题,有效地提高了算法收敛速度、精度.仿真算例验证了模型的优点及Memetic算法的有效性.