Attention-Enhanced Voice Portrait Model Using Generative Adversarial Network

Voice portrait technology has explored and established the relationship between speakers’ voices and their facialfeatures, aiming to generate corresponding facial characteristics by providing the voice of an unknown speaker.Due to its powerful advantages in image generation, Generative Adversarial Networks (GANs) have now beenwidely applied across various fields. The existing Voice2Face methods for voice portraits are primarily based onGANs trained on voice-face paired datasets. However, voice portrait models solely constructed on GANs facelimitations in image generation quality and struggle to maintain facial similarity. Additionally, the training processis relatively unstable, thereby affecting the overall generative performance of the model. To overcome the abovechallenges,wepropose a novel deepGenerativeAdversarialNetworkmodel for audio-visual synthesis, namedAVPGAN(Attention-enhanced Voice Portrait Model using Generative Adversarial Network). This model is based ona convolutional attention mechanism and is capable of generating corresponding facial images from the voice ofan unknown speaker. Firstly, to address the issue of training instability, we integrate convolutional neural networkswith deep GANs. In the network architecture, we apply spectral normalization to constrain the variation of thediscriminator, preventing issues such as mode collapse. Secondly, to enhance the model’s ability to extract relevantfeatures between the two modalities, we propose a voice portrait model based on convolutional attention. Thismodel learns the mapping relationship between voice and facial features in a common space from both channeland spatial dimensions independently. Thirdly, to enhance the quality of generated faces, we have incorporated adegradation removal module and utilized pretrained facial GANs as facial priors to repair and enhance the clarityof the generated facial images. Experimental results demonstrate that our AVP-GAN achieved a cosine similarity of0.511, outperforming the performance of our comparison model, and effectively achieved the generation of highqualityfacial images corresponding to a speaker’s voice.

Research on Group User Portrait of Online Education Platform Based on Big Data

With the rapid development of big data,online education can use big data technology to achieve personalized and intelligent education as well as improve learning effect and user satisfaction.In this study,the users of The Open University of China online education platform were taken as the research object,their user behavior data was collected,cleaned,and analyzed with text mining.The RFM model and the improved K-Means algorithm were used to construct the user portrait of the platform group and the needs and preferences of different types of the users were analyzded.Chinese word segmentation was used to show the key words of different types of users and the word cloud of their using frequency.The focus of different user groups was determined to facilitate for the follow-up course recommendation and precision marketing.Experimental results showed that the improved K-Means algorithm can well depict the behavior of group users.The index of silhouette score was improved to 0.811 by the improved K-Means algorithm,from random uncertainty to a fixed value,which can effectively solve the problem of inconsistent results caused by outlier sample points.

Intention and Standing Image:Interpretation of the Aesthetic Intention of Arhat Portrait on Mount Wutai

Mount Wutai,a place endowed with fine spirits of humanities and prolific remains of Arhats portrait art.The existing Mount Wutai Arhats portrait spans the Ming,Qing,and Republic of China periods,and through the artistic creation of successive generations of literati painters,exquisite Arhats portraits are painted on different artistic carriers.On the basis of inheriting the traditional Chinese paradigm painting expression,the portrait of Mount Wutai Arhats constantly draws on folk nutrients.It integrates foreign Buddhist culture for refinement and sublimation.The reconstructed portrait pays attention to the image expression of its objects and the shaping of spiritual temperament.The shape is ancient and vivid,and the scene is ethereal and mysterious,which rationally expresses the Buddhist philosophy of generosity,benevolence and kindness,and contains unique oriental aesthetics.

Camilla Guerrieri’s Portrait of Guidobaldo II della Rovere:Symbols of Honor and Power

The Altomani&Sons Collection owns a remarkable newly discovered portrait of Guidobaldo II della Rovere,Duke of Urbino(1514-1574),a historical military figure who was a condottiere,ruler of Urbino,Commander-in-chief of the Papal Estate,and Perfect of Rome,as well as a collector and patron of the Fine Arts.Camilla Guerrieri Nati(1628-1694),a seventeenth-century Italian painter from Fossombrone(in the province of Pesaro and Urbino),portrayed this heroic personage surrounded by emblems associated with his military courage and leadership,including his plumed burgonet helmet,metal gilded armor,a necklace with the golden fleece,and batons of secular and religious dominions.This oil painting on copper-considered a precious metal at the time-emphasizes the importance of the commission.The material and technique also reveals a unique artistic achievement in that it provides the painting with a smooth,reflective surface and vibrant coloration,symbolizing precious imagery.

Supplier Data Association Portrait Model Based on Improved Fuzzy Algorithm

With the advent of the Big Data era,the amount of data on supplier information is increasing geometrically.Buyers want to use this data to find high quality suppliers before purchasing,so as to reduce transaction risks and guarantee transaction quality.Supplier portraits under big data can not only help buyers select high quality suppliers,but also monitor the abnormal behavior of suppliers in real time.In this paper,the supplier data under big data are normalized,correlation analysis is performed,ratings are assigned,and classification is made through fuzzy calculation to give some reference and provide early warning tips for buyers.In addition,this paper is based on the data of active suppliers in the Jiangxi Open Data Innovation Application Competition,and realizes the data mining of two⁃dimensional labels and statistical types,thus forming the supplier portrait model.This paper aims to study supplier data analysis in the big data environment,hoping to provide some suggestions and guidances for the procurement work of related governments,enterprises and individuals.

基于特征表示深度学习的政策精准推送模型研究

从政策内涵和用户特征表示的深度学习出发,构建政策文本精准推送模型,实现高效准确的政府服务双向精准推送。首先基于Doc2Vec模型进行政策文档向量表示,并融入政策实体和政策主题信息,丰富政策文本的语义内涵;构建集成自然属性、社会属性和政策属性的政策用户画像模型,基于Word2Vec实现基于三元组的画像特征表示;最后,构建政策-用户双向精准推送模型,进行基于推送关系标注的模型训练,基于注意力机制实现政策和用户间的双向智能匹配。针对助残服务的实验表明,所提策略有效实现了助残服务与残疾人间的精准匹配,呈现出政策-用户及用户-政策双向的推送结果。

混合自动机的多项式phase-portrait近似

抽象近似是验证混合系统安全性的主要方法,模型转换是构造一个可判定的(或半判定的)混合自动机来近似原混合自动机。本文将线性phase-portrait近似推广到多项式phase-portrait近似,叙述了如何自动构造多项式phase-portrait近似自动机及如何精化近似模型。

风力机齿轮箱无监督故障诊断方法研究

针对风力机齿轮箱振动信号具有强非线性特征,提出了改进变分模态分解方法对信号进行分解以提取特征分量,并以混沌相图及Lyapunov指数量化信号的非线性变化。采用随机近邻嵌入算法对多模态非线性故障特征集的冗余特征进行降维,以保证故障特征提取的可靠性并提升故障诊断准确率,所提出的无监督故障诊断框架无需人为对故障样本进行标注,更适合工程应用,并将所提方法应用于NREL GRC风力机齿轮箱故障。结果表明:改进变分模态分解方法可准确实现多模态特征提取,结合随机近邻嵌入算法,可有效消除冗余特征保证故障信息的可靠性,且同类样本聚集、异类样本差异增大,聚类表现更清晰,提升了故障分类的准确率。

多模态大模型赋能教师数字画像构建与应用

教师数字画像是助力教师教育高质量发展的重要抓手。本研究立足多模态大模型赋能数字画像应用的创新机遇,针对教师数字画像技术存在的数据采集结构性错配、模型通用性与深度性失衡、画像模型训练升级滞后和伴随式应用服务缺失等问题,分析教师画像大模型重塑教师数字画像构建与应用方式的多模态认知、关联式推理、增量式学习和伴随式反馈等关键能力;基于教师画像大模型的构建框架,围绕内隐对话、画像分析、发展指导三类细化子任务,设计了多智能体,以加强教师多维画像精准描摹与人机协同循证专业发展的综合性服务供给;以教师数字素养智能测评为例,从对话式智能测评、层级化画像分析和伴随式素养发展三方面阐释基于多智能体协作的场景化实践路径,展示其应用价值。

基于混合同步控制的构网型变流器不对称故障下暂态稳定分析

构网型变流器具有良好的主动支撑特性和弱电网适应能力,已成为目前关注的热点。然而,构网型控制(GFMC)在电网故障下的暂态稳定性能是制约其运行的关键问题,现有成果主要关注对称故障下GFMC策略的暂态同步稳定问题,对于不对称交流故障下的暂态同步稳定特性鲜有深入研究。针对最新的混合同步型构网控制方法,首先,结合正负序解耦模块与混合同步控制结构,使混合同步控制能够应用于不对称故障。其次,建立了不对称故障下系统的详细动态模型,基于此模型,定性分析了正负序电流对暂态稳定的影响规律,并进一步基于相图模型定量解析正负序电流与暂态失稳边界的数学关系。最后,基于电磁暂态数值仿真和硬件在环实验,验证了所提控制策略的有效性和不对称故障下暂态同步稳定性分析的准确性。

定性推理在矩形phase-portrait近似中的应用

抽象近似是验证混合系统安全性的主要方法,矩形phase-portrait近似是通过构造简单的线性混合自动机来近似原混合自动机。phase-portrait近似的关键步骤是如何划分状态空间。本文采用定性推理的方法,叙述了如何根据系统动态特征来划分状态空间及如何精化抽象模型。

基于定性推理的矩形phase-portrait近似

矩形phase-portrait近似的关键是控制模态的有效划分.本文提出了基于定性推理的phase-portrait近似,给出了一种基于向量场、感兴趣多项式及其李导数动态特性的模态空间划分方法,并进一步给出了基于精化多项式的抽象模型精化方法.实验结果表明,基于定性推理划分的phase-portrait近似验证明显地减少了模态空间的划分数目,提高了验证的效率.

基于无监督学习与特征工程的电力用户行为画像

为使供电部门实现对电力用户的精准分类和特征把握,提出一种电力用户用电特征选择与行为画像的方法。首先,综合利用通用的聚类内部评价指标,实现电力用户类别的自动确定;接着,考虑特征变量间可能存在的非线性关系,综合互信息和距离相关系数指标,用启发式算法实现电力用户特征集的优选;最后,依据优选特征集对电力用户用电行为特征进行雷达图可视化,实现电力用户用电行为的行为画像刻画,为企业对用户进行具有针对性的服务提供依据。

用岗位画像驱动高职院校学生高质量就业探讨

为探讨岗位画像在提升高职院校学生就业质量中的作用,通过问卷调查的方式收集上海地区3所高职院校350名在校学生的就业意向、岗位画像认知程度及与行业需求的匹配程度等相关数据。结果显示,尽管大多数学生对岗位画像有一定的了解,但仍存在认知不足、教育与行业需求脱节、信息不对称等问题,导致其在求职过程中面临诸多挑战,影响其就业质量。为此,提出增强学生职业意识、加强校企合作、构建信息共享平台等措施,以提升学生对岗位画像的认知水平,更好地对接教育与行业需求,促进高质量就业的实现。

浅析徐州白集汉画像石墓的建筑特质

白集汉墓位于徐州市贾汪区,是一座典型的汉代画像石墓,反映了徐州及其周边地区东汉中晚期汉墓的具体面貌、发展以及演变等。由于发掘年代久远,研究资料不足,该文对白集汉墓进行了重新测量、调研,并对现有研究现状进行梳理,结合实地调研测量数据和原有数据,与周边具有代表性的汉墓进行对比,对白集汉墓的建筑结构、平面布局、画像石配置、汉代尺度提出新的看法与思考,试图对白集汉墓所蕴含的汉画像石墓的建筑特质、发展与演进等进行提取与分析。

Research on Modelling Digital Paper-cut Preservation

This paper studies the model of the digital preservation of paper-cut after analyzing the state-of-the-art of the preservation of intangible cultural heritage at home and abroad, focusing on paper-cutting in Hebei, China in a comprehensive approach of sociology, anthropology, folk art, folklore, communication, computer, and information science. Models, methods, and solutions for the preservation and retention of national and folk cultural heritage are proposed. A virtual multimedia interactive system framework of the digital preservation of national and folk cultural heritage is constructed. The standards of paper-cut digitization are studied. The main content of the paper involves： regulated data collection and recording of the scattered Chinese folk paper-cut works in Hebei; digitization, optimization, compression, classification, icon and pattern extraction, vectorization, and work analysis of the first-hand material. This paper also investigates the demonstration, dissemination, database construction, and retrieval of the classified material, icons, and patterns; the demonstration of the reconstruction and application of icon and pattern database; the design and development of an immersive virtual gaming platform of the multi-media scenes and production process of folk paper-cut.

Travelling Wave Solutions to Stretched Beam's Equation: Phase Portraits Survey

In this paper, following the phase portraits analysis, we investigate the integrability of a system which physically describes the transverse oscillation of an elastic beam under end-thrust. As a result, we find that this system actually comprises two families of travelling waves： the sub- and super-sonic periodic waves of positive- and negative- definite velocities, respectively, and the localized sub-sonic loop-shaped waves of positive-definite velocity. Expressing the energy-like of this system while depicting its phase portrait dynamics, we show that these multivaiued localized travelling waves appear as the boundary solutions to which the periodic travelling waves tend asymptotically

Trust evaluation model of power terminal based on equipment portrait

As the number of power terminals continues to increase and their usage becomes more widespread,the security of power systems is under great threat.In response to the lack of effective trust evaluation methods for terminals,we propose a trust evaluation model based on equipment portraits for power terminals.First,we propose an exception evaluation method based on the network flow order and evaluate anomalous terminals by monitoring the external characteristics of network traffic.Second,we propose an exception evaluation method based on syntax and semantics.The key fields of each message are extracted,and the frequency of keywords in the message is statistically analyzed to obtain the keyword frequency and time-slot threshold for evaluating the status of the terminal.Thus,by combining the network flow order,syntax,and semantic analysis,an equipment portrait can be constructed to guarantee security of the power network terminals.We then propose a trust evaluation method based on an equipment portrait to calculate the trust values in real time.Finally,the experimental results of terminal anomaly detection show that the proposed model has a higher detection rate and lower false detection rate,as well as a higher real-time performance,which is more suitable for power terminals.

PP-GAN:Style Transfer from Korean Portraits to ID Photos Using Landmark Extractor with GAN

The objective of style transfer is to maintain the content of an image while transferring the style of another image.However,conventional methods face challenges in preserving facial features,especially in Korean portraits where elements like the“Gat”(a traditional Korean hat)are prevalent.This paper proposes a deep learning network designed to perform style transfer that includes the“Gat”while preserving the identity of the face.Unlike traditional style transfer techniques,the proposed method aims to preserve the texture,attire,and the“Gat”in the style image by employing image sharpening and face landmark,with the GAN.The color,texture,and intensity were extracted differently based on the characteristics of each block and layer of the pre-trained VGG-16,and only the necessary elements during training were preserved using a facial landmark mask.The head area was presented using the eyebrow area to transfer the“Gat”.Furthermore,the identity of the face was retained,and style correlation was considered based on the Gram matrix.To evaluate performance,we introduced a metric using PSNR and SSIM,with an emphasis on median values through new weightings for style transfer in Korean portraits.Additionally,we have conducted a survey that evaluated the content,style,and naturalness of the transferred results,and based on the assessment,we can confidently conclude that our method to maintain the integrity of content surpasses the previous research.Our approach,enriched by landmarks preservation and diverse loss functions,including those related to“Gat”,outperformed previous researches in facial identity preservation.

Henry James' View on Marriage in The Portrait of a Lady

Henry James is a great master of world literature and a prolific American writer in the 19th century.The portrayal of woman has been a prominent feature of his works.This thesis is mainly about Henry James's view of marriage revealed in the Portrait of a Lady,and the relationship between his life and his works.