Detection of Turbulence Anomalies Using a Symbolic Classifier Algorithm in Airborne Quick Access Record(QAR)Data Analysis

As the risks associated with air turbulence are intensified by climate change and the growth of the aviation industry,it has become imperative to monitor and mitigate these threats to ensure civil aviation safety.The eddy dissipation rate(EDR)has been established as the standard metric for quantifying turbulence in civil aviation.This study aims to explore a universally applicable symbolic classification approach based on genetic programming to detect turbulence anomalies using quick access recorder(QAR)data.The detection of atmospheric turbulence is approached as an anomaly detection problem.Comparative evaluations demonstrate that this approach performs on par with direct EDR calculation methods in identifying turbulence events.Moreover,comparisons with alternative machine learning techniques indicate that the proposed technique is the optimal methodology currently available.In summary,the use of symbolic classification via genetic programming enables accurate turbulence detection from QAR data,comparable to that with established EDR approaches and surpassing that achieved with machine learning algorithms.This finding highlights the potential of integrating symbolic classifiers into turbulence monitoring systems to enhance civil aviation safety amidst rising environmental and operational hazards.

Symbols in The Magic Barrel

The article takes the famous modern American Jewish writer Bernard Malamud’s novel The Magic Barrel as the object of study,and uses symbolism to interpret it,analyzing it one by one in terms of the magic barrel,the colors,the seasons and the windows,respectively,so as to reveal the process of getting rid of the childishness within the novel’s male protagonist,Leo Finkel,who is maturing,as well as the novel’s Jewish theme of searching for the soul of the self.

一类新的MDS symbol-pair码

为了对抗符号对(symbol-pair)读取信道中的符号对错误,符号对码应运而生。与经典纠错码类似,极小对距离越大,符号对码的纠错能力越强,因此,构造具有较大极小符号对距离的符号对码至关重要。根据多项式重根的判别方法,通过分析有限域F p上线性方程组的解,得到了一类最大距离可分的符号对(MDS symbol-pair)码,其长度为4 p,极小符号对距离为10。结果表明,在同样码长的情况下,新构造的MDS符号对码具有较大的极小符号对距离。

A robust symbol timing strategy for cellular systems

In cellular systems,establishing the initial symbol timing of potential preambles is the first step of a cell search.The envelope fluctuation of the downlink signal hinders the successful timing of conventional symbol timing methods.To solve this problem,a hybrid timing strategy is proposed with two novel detectors,namely the normalized replica-based detector and normalized differential detector.The strategy first detects all potential preambles via the normalized replica-based detector and then employs the normalized differential detector to verify the target preamble,which comes from the target cell and has the highest power.The strategy is unaffected by envelope fluctuation and has computational complexity comparable to that of conventional methods.Simu-lations and real-data tests show that the hybrid timing strategy is robust and practical for initial symbol timing.

Training-based symbol detection with temporal convolutional neural network in single-polarized optical communication system

In order to reduce the physical impairment caused by signal distortion,in this paper,we investigate symbol detection with Deep Learning(DL)methods to improve bit-error performance in the optical communication system.Many DL-based methods have been applied to such systems to improve bit-error performance.Referring to the speech-to-text method of automatic speech recognition,this paper proposes a signal-to-symbol method based on DL and designs a receiver for symbol detection on single-polarized optical communications modes.To realize this detection method,we propose a non-causal temporal convolutional network-assisted receiver to detect symbols directly from the baseband signal,which specifically integrates most modules of the receiver.Meanwhile,we adopt three training approaches for different signal-to-noise ratios.We also apply a parametric rectified linear unit to enhance the noise robustness of the proposed network.According to the simulation experiments,the biterror-rate performance of the proposed method is close to or even superior to that of the conventional receiver and better than the recurrent neural network-based receiver.

Crack Growth Rate Model Derived from Domain Knowledge-Guided Symbolic Regression

Machine learning(ML)has powerful nonlinear processing and multivariate learning capabilities,so it has been widely utilised in the fatigue field.However,most ML methods are inexplicable black-box models that are difficult to apply in engineering practice.Symbolic regression(SR)is an interpretable machine learning method for determining the optimal fitting equation for datasets.In this study,domain knowledge-guided SR was used to determine a new fatigue crack growth(FCG)rate model.Three terms of the variable subtree ofΔK,R-ratio,andΔK_(th)were obtained by analysing eight traditional semi-empirical FCG rate models.Based on the FCG rate test data from other literature,the SR model was constructed using Al-7055-T7511.It was subsequently extended to other alloys(Ti-10V-2Fe-3Al,Ti-6Al-4V,Cr-Mo-V,LC9cs,Al-6013-T651,and Al-2324-T3)using multiple linear regression.Compared with the three semi-empirical FCG rate models,the SR model yielded higher prediction accuracy.This result demonstrates the potential of domain knowledge-guided SR for building the FCG rate model.

Application of Blank Symbols in Japanese Architecture and Indoor Designs

A symbol is an expression of meaning,while blank symbols express special meanings.By focusing on the application of blank symbols in Japanese architecture and indoor designs,we analyzed the aesthetic principles in Japanese architecture and indoor designs from the perspective of semiotics,such as“Kongji,”“Emptiness,”and“Dying out,”and their minimalist and pure design concepts.Traditional Chinese culture was also further explored,especially the profound influence of the“Chan sect”and the philosophy of“unity of heaven and mankind”on Japanese architecture and designs.This study aims to facilitate the coexistence and mutual appreciation of Chinese and Japanese architectural designs.

Evolution Performance of Symbolic Radial Basis Function Neural Network by Using Evolutionary Algorithms

Radial Basis Function Neural Network(RBFNN)ensembles have long suffered from non-efficient training,where incorrect parameter settings can be computationally disastrous.This paper examines different evolutionary algorithms for training the Symbolic Radial Basis Function Neural Network(SRBFNN)through the behavior’s integration of satisfiability programming.Inspired by evolutionary algorithms,which can iteratively find the nearoptimal solution,different Evolutionary Algorithms(EAs)were designed to optimize the producer output weight of the SRBFNN that corresponds to the embedded logic programming 2Satisfiability representation(SRBFNN-2SAT).The SRBFNN’s objective function that corresponds to Satisfiability logic programming can be minimized by different algorithms,including Genetic Algorithm(GA),Evolution Strategy Algorithm(ES),Differential Evolution Algorithm(DE),and Evolutionary Programming Algorithm(EP).Each of these methods is presented in the steps in the flowchart form which can be used for its straightforward implementation in any programming language.With the use of SRBFNN-2SAT,a training method based on these algorithms has been presented,then training has been compared among algorithms,which were applied in Microsoft Visual C++software using multiple metrics of performance,including Mean Absolute Relative Error(MARE),Root Mean Square Error(RMSE),Mean Absolute Percentage Error(MAPE),Mean Bias Error(MBE),Systematic Error(SD),Schwarz Bayesian Criterion(SBC),and Central Process Unit time(CPU time).Based on the results,the EP algorithm achieved a higher training rate and simple structure compared with the rest of the algorithms.It has been confirmed that the EP algorithm is quite effective in training and obtaining the best output weight,accompanied by the slightest iteration error,which minimizes the objective function of SRBFNN-2SAT.

Analysis of the Influence of Clothing on Characterization from Symbolism: Taking The Scarlet Letter, Daisy Miller, and Dry September as Examples

In the novels, the clothing worn by the characters are symbols made and used by the authors to express the characters’ personality and deepen the theme, and grasping their symbolism helps to enter into the interior of the novels and understand their essence. This paper will analyze and interpret the clothing of typical female characters in The Scarlet Letter, Daisy Miller and Dry September from the perspective of symbolism, so as to illustrate how the symbolism of clothing, as a kind of symbols, shapes the image of the main characters.

The Application of Symbolism in Domenico Starnone’s Novel Lacci

In the Italian novel Lacci,the young husband abandoned his wife and lived with another woman.Although the marriage has been maintained under the stress of tense relations,friction and cracks have long existed and broken their peaceful life.This betrayal story restores the whole story from three perspectives through the eyes of the husband,the wife,and the memory of two children.It also reveals the indifferent and uncommunicable situations experienced by everyone in the family.The shoelace that appeared repeatedly in this article not only symbolizes the entangled and chaotic relationship between husband and wife,but also symbolizes the parent-child relationship that has long been broken but still tied up with each other;another image,the cat,not only symbolizes the seductive lover in the eyes of the husband,but also represents himself who pursues the satisfaction of desire.At the same time,cat also implies the disintegration of this marriage from inside to outside.In short,in this suffocating marriage novel,shoelace symbolizes order,while cat symbolizes chaos.The cat who keeps breaking in wore away their trust and emotion,and in the end,the two people in marriage can only bind reluctantly with shoelaces and hurt each other.

Analysis of the Symbolic Meaning of James Joyce’s Araby

Araby is a short story by the famous Irish stream-of-consciousness writer James Joyce.Through a series of images,the novel expresses the theme of the story:the“mental paralysis”of Dubliners and the“spiritual Epiphany”of the little boy,which reflects the spiritual barren of Dubliners at that time.Through the analysis of the symbolic meaning of many images in the work,this paper reveals the social background and religious significance hidden behind the images.

The Wonders of the Wall:The Great Wall is a powerful symbol that represents the heroic spirit of the Chinese people

While getting a chance to visit the Great Wall of China may not be easy,it is a memorable experience for everyone who manages to get there.And the value of the Great Wall is not confined to tourists;it is also significant for those interested in learning about the preservation of the historic site as a unique symbol of Chinese civilisation.

The Symbolic Expression in the Material Form in Public Spaces

The article explores the topic of symbolic expression in the physical elements that form urban public spaces.It is done by giving an overview and analysing spaces that hold a widely-recognised symbolic value.The author discusses the means of encoding and perceiving meanings in the spacial composition,physical form and materials of its elements,and other aspects that influence the sensory or psychological perception of the observer.At the same time,different theoretical approaches to the perception of space are discussed,addressing not only architectural theory but also the ideas proposed in the fields of philosophy,fenomenology and cultural studies.

数字化对服务消费的影响研究——基于符号消费、体验化与互动化视角

消费已成为中国经济增长的重要动力,数字化和服务化是助推消费升级的必然趋势。本文重点研究了数字化影响服务消费的理论机制,基于服务消费者主观效用的变化,以符号消费、体验化和互动化等理论视角解释数字化对服务消费的影响。研究表明,数字化推动了服务消费的符号化过程,从而改变了服务消费的价值维度,对服务消费产生了深远的影响,这将符号消费理论拓展到了服务消费领域。数字化为服务体验化带来了新的发展空间,推动个性化的服务体验向社会化转化。数字化带来了沉浸式体验,能够拓宽服务体验的广度。数字化优化了服务消费过程中的互动关系,提升了消费者价值。本文研究为阐释服务消费理论提供了新的思路。

“教育家精神”:中国特色教育学话语体系的标识性概念

“教育家精神”是习近平总书记对教师素养的高度概括,为新时代教师发展提供了根本遵循。“教育家精神”的六个方面,体现了中国共产党对人民教师的要求,体现了中华民族的精神魂脉及中华优秀传统师道文化的根脉,是中国历史上教育家群体精神特质的真实写照,具有中国教育家的独特性,同时也反映了教育本质和教师成长的规律,具有世界各国教育家的共同性。中国特有的教育家精神是中国特色教育学话语体系的标识性概念,为世界教育学发展作出了中国贡献。

明清鸡足山兴起中的多民族共塑与交融

大理宾川鸡足山是一座跨民族、跨地域、跨宗教的圣山。鸡足山在明清时期作为圣山兴起的过程,是区域社会中各民族对鸡足山景观的共同塑造、朝山盛节共庆、生产生活物资互通的过程,同时也是鸡足山被各民族接纳认可并被构建为多民族共享的文化符号的过程。一部鸡足山圣地的兴起史,于区域社会而言就是一段多民族共塑圣山的交往交流交融史。在各民族交往交流交融的实践过程中,鸡足山逐渐成为各民族共筑共享的精神家园。

论文化起于何时

以往学界只有关于文化起源的论述而缺乏关于文化起点即文化起于何时的研究。既有的十类文化定义中,蕴含了三种潜在的文化起点观,即文化与人同时诞生,文化与生物同时诞生和文化在人之后诞生。前两种观点明显不对,后一种观点基本可以得到肯定,只是也没给出文化起于何时的具体时间。由于文化是人类创造力的果实,因而人类第一个创造物出现的时间就是文化的起点。人类创造物的种类甚多,出现的时间有先有后,不过最终可将所有的文化之物归为器物文化、符号文化和组织文化三大类。通过分别考察可知,最早出现的器物文化之物是300万年前直立人用工具制作的木棍、石斧,最早出现的符号文化之物是30万年前早期智人发明的声音语言,最早出现的组织文化之物是10万—7万年前晚期智人用制度创建的氏族社会。由此可知,器物文化在300万年前的起点,也就是人类文化的起点。

语言符号与知觉符号表征对外语词汇习得的影响比较:来自行为与脑电的实验证据

通过行为与脑电实验技术,比较外语词汇学习过程中,语言符号与知觉符号表征对词汇记忆编码与再认的影响过程,从而考察语义表征对词汇习得的影响机制。行为结果表明,语言符号与知觉符号表征条件下被试对词汇学习效果的主观判断无显著差异,但后者比前者有更高的词汇再认正确率。脑电结果表明,对于词汇编码阶段,相较语言符号表征,知觉符号表征在编码晚期诱发更正的LPC成分;对于词汇再认阶段,知觉符号表征条件诱发更大N400成分,且脑电时频分析表明该条件下出现更为明显的μ波抑制及θ波功率增强现象。研究结果综合表明,与语言符号表征便捷但非模态化的语义加工相比,知觉符号表征加深了词汇晚期编码的深度,并通过知觉模拟,利用多模态信息提高了词汇的形象化再认,从而推动了再认阶段的语义检索,最终内隐性地提高了词汇学习效果。

半坡彩陶艺术中的生活符号研究

陶器是仰韶文化中最具代表性的器物,仰韶-半坡彩陶是中国史前文明的瑰宝,也是我们窥探史前文明的窗口。西安半坡出土的陶器,纹饰造型夸张,线条流畅,色彩丰富饱满,具有浓郁的民族风格和地方特色。仰韶-半坡彩陶上精美的图案、神秘的符号展示出华夏祖先的诸多方面,包括生产方式、精神寄托及早期的审美意识。研究半坡彩陶艺术中的生活符号,探求仰韶文化中图形纹饰及符号的演变,挖掘其内在含义,能够帮助我们更好地研究探索史前文化,也让后人能够更加深刻地认识华夏之根。

国家形象传播视域下中国文化符号在大学英语教学中的应用性研究

中国文化符号具有高度的独特性和民族性。在大学英语教学中融入中国文化符号不仅是现代大学英语的要求,也是对国家形象进行正面传播的重要步骤。使用各种策略将中国文化符号和优秀中国传统文化融入到课堂,引导大学生对中国文化符号进行思考和接受,不仅能够培养学生的文化意识,而且也能够帮助学生树立正确的文化观和价值观。