钢筋在坝体混凝土裂缝处理中的作用

舞蹈是一种文化现象 ,民间舞蹈寓于民俗文化之中。民间舞蹈是民俗文化整体中有形传承的重要体现 ;民间风俗又为民间舞蹈增添了浓郁的民族文化色彩并提供了内容、气氛以及广阔的传承和发展空间。看一个舞蹈 ,了解一个民族。民族文化像一个纽带 ,将舞蹈艺术与民间风俗紧紧地联系在一起 ,使舞蹈艺术与民俗文化互相渗透 ,互为依托 ,相辅相成 ,相得益彰     

基于深度学习的机器人舞蹈自动生成研究

在舞蹈机器人构建过程中,针对传统舞蹈生成算法无法精确匹配音乐的问题,结合深度学习的特征提取特点,构建一个基于深度学习的舞蹈生成模型。首先对模型进行整体设计,分别对舞蹈和音频进行特征提取;然后对生成模型的各个功能模块进行设计和实现,利用机器人对舞蹈动作进行展现。实验结果表明,设计的模型生成舞蹈与音频较为匹配,与真实舞蹈动作十分接近,本模型的质量评估值为51.19,该模型对舞蹈姿态序列的分类识别效果准确,音乐匹配率更精准,舞蹈生成效果最佳。     

峰峦叠嶂地,曲径通幽城——天津蓟县地区景观风貌设计初探

分析天津蓟县地区的历史、文化、风俗和原有的地形、地貌与当地的植物特点,对天津蓟县地区的景观风貌提出独特的地域性景观规划建议。     

基于MIDI的华尔兹舞蹈动画生成

目前大多针对虚拟舞蹈的研究,在追求舞蹈动作连贯的同时,忽略了音乐与舞蹈在情感层面的联系.基于MIDI音源的华尔兹虚拟舞蹈动画系统在生动展示华尔兹舞蹈的同时,演绎了舞曲的情感内涵.系统以含有语法标注的舞蹈动作库为基础,引入了模糊推理模型和情感模型,在情感空间中将音乐与舞蹈联系起来.最后利用三维动画软件Poser进行仿真,将生成的整套舞蹈以三维动画的形式展现出来.该系统的实现推动了以华尔兹舞蹈为代表的国标舞的动画仿真研究.     

试论音乐在舞蹈教学中的重要性

舞蹈与音乐这两门艺术是一支并蒂莲,荣损与共、相依相伴。优秀的舞蹈作品是优秀舞蹈与优秀音乐"两栖"结合的结晶。舞蹈教师应不断提高学生的艺术素质,同时努力实现教师自身的知识更新;舞蹈演员只有具备一定音乐素养,才能表演好优秀的舞蹈作品。因此,培养知识和能力结构合理、综合素质较高的舞蹈人才,是舞蹈教学工作者面临的重要课题。     

基于VR技术的满族展馆虚拟系统设计与开发

结合VR技术设计并开发了满族展馆的虚拟信息系统。该系统同时使用了3D MAX建模软件、C#编程语言以及Unity开发平台。系统提供了系统登录、虚拟场景、音视频导入和文化展馆等功能。以三维可视化形式展现了满族中的剪纸文化、舞蹈文化、历史人物等信息，让体验者能从系统平台中充分感受到满族文化的丰富资源，实现满族文化数字化存储、保护和展览。     

MP3 Dancers 1.08闻“声”起舞

优秀的音乐与舞蹈都是一种美,是一种艺术。 下面这款软件可以让我们在欣赏音乐之余享受美妙舞蹈带给我们的无限乐趣。     

载歌载舞云南游 录影相机全记录

长假出游,除了选择风景秀丽之地,还可以选择那些民族气息浓厚的省市,比如云南。云南省是我国少数民族最多的省,少数民族又都能歌善舞。去云南旅游,感受别样风情。能歌善舞的少数民族彝族、佤族、壮族,基诺族多使用打击乐器演奏音乐,如钹、象脚鼓、木鼓、竹筒琴等等,这些民族的音乐节奏鲜明、音量宏大,适合喜庆的节日庆典。苗族、瑶族、怒族、哈尼族喜欢吹管乐器,这类乐器音色优美, 表现力丰富,吹奏出的曲子活泼生动,优美抒情。孔雀舞是源于傣族民间的一种舞蹈,傣族妇女的温柔、美丽,更使孔雀舞增加了独特的韵味和魅力。东巴舞是纳西族的民间舞蹈, 舞蹈语汇丰富,造型鲜明,千姿百态,表现人的喜、怒、哀、乐思想和气质。来云南旅游,欣赏了云南少数民族的歌舞表演,很希望能将歌舞欢腾的声色场面保存下来。难道必须用照相机来拍摄动人的瞬间,用摄像机来记录动听的音乐么?其实只要带上一台录像功能出色的数码相机,所有的问题就都迎刃而解了。     

原生态民间舞文化的现代性发展趋势

原生态民间舞在新的时空环境影响下，展示给大家的舞蹈形态大都是经改编、整合过的民间舞蹈，既保持了当地传统特色的。原汁原味”，又突出了现代的观赏性、表演性和人文色采，适应了市场经济的需求，目前这种状况日益增多。就未来原生态民间文化的传承看，将会呈现传统性与现代性共生与互指的发展趋势。     

让音乐插上多媒体的翅膀飞翔——关于音乐教学中多媒体运用的思考

随着音乐课程改革新理念的推广,音乐课的内容已经不仅仅满足于唱唱歌、听听音乐,而是发展成为包括舞蹈、戏剧、美术等姊妹学科在内的综合型的艺术课程。在这种形势下,更新授课方式,营造全方位的音乐教学环境必然成为当前音乐课堂改革的需     

Note sequence morphing algorithms for performance of electronic dance music

This paper describes algorithms that can musically augment the realtime performance of electronic dance music by generating new musical material by morphing. Note sequence morphing involves the algorithmic generation of music that smoothly transitions between two existing musical segments. The potential of musical morphing in electronic dance music is outlined and previous research is summarised; including discussions of relevant music theoretic and algorithmic concepts. An outline and explanation is provided of a novel Markov morphing process that uses similarity measures to construct transition matrices. The paper reports on a ‘focus-concert’ study used to evaluate this morphing algorithm and to compare its output with performances from a professional DJ. Discussions of this trial include reflections on some of the aesthetic characteristics of note sequence morphing. The research suggests that the proposed morphing technique could be effectively used in some electronic dance music contexts.     

Regional classification of Chinese folk songs based on CRF model

Music regional classification, which is an important branch of music automatic classification, aims at classifying folk songs according to different regional style. Chinese folk songs have developed various regional musical styles in the process of its evolution. Regional classification of Chinese folk songs can promote the development of music recommendation systems which recommending proper style of music to users and improve the efficiency of the music retrieval system. However, the accuracy of existing music regional classification systems is not high enough, because most methods do not consider temporal characteristics of music for both features extraction and classification. In this paper, we proposed an approach based on conditional random field (CRF) which can fully take advantage of the temporal characteristics of musical audio features for music regional classification. Considering the continuity, high dimensionality and large size of the audio feature data, we employed two ways to calculate the label sequence of musical audio features in CRF, which are Gaussian Mixture Model (GMM) and Restricted Boltzmann Machine (RBM). The experimental results demonstrated that the proposed method based on CRF-RBM outperforms other existing music regional classifiers with the best accuracy of 84.71% on Chinese folk songs datasets. Besides, when the proposed methods were applied to the Greek folk songs dataset, the CRF-RBM model also performs the best.

     

Music similarity-based approach to generating dance motion sequence

In this paper, we propose a novel approach to generating a sequence of dance motions using music similarity as a criterion to find the appropriate motions given a new musical input. Based on the observation that dance motions used in similar musical pieces can be a good reference in choreographing a new dance, we first construct a music-motion database that comprises a number of segment-wise music-motion pairs. When a new musical input is given, it is divided into short segments and for each segment our system suggests the dance motion candidates by finding from the database the music cluster that is most similar to the input. After a user selects the best motion segment, we perform music-dance synchronization by means of cross-correlation between the two music segments using the novelty functions as an input. We evaluate our system’s performance using a user study, and the results show that the dance motion sequence generated by our system achieves significantly higher ratings than the one generated randomly.     

Exploring the influence of a human-like dancing virtual character on the evocation of human emotion

Dance has universally been used as a form of human expression for thousands of years. This common human behaviour and communication method has not been explored much in the context of computer-based technology, even within the field of virtual human research. This paper presents an experimental study investigating the impact of watching dancing virtual characters on human emotions. The study analysed the responses of 55 participants, composed of a mix of dancers and non-dancers, who watched a dancing virtual character perform 3 different dances that represented anger, sadness and happiness in different display orders. The participants’ reported changes in their emotions and their feelings of anger, sadness and happiness were significantly dependent on which dancing character’s emotion they watched and the emotional change did not rely on correct recognition of the depicted emotion. For experimental control, our characters were faceless and danced without music. Our results suggest that just by watching a dancing virtual character some of the benefits associated with dancing could be accessed in circumstances where it is not desirable or feasible to dance, justifying further research to develop a personalised character with a face and music that adapts according to the humans’ emotions and preferences.     

浅析糖画的制作工艺

糖画,是民间美术中的重要品类,是民间喜闻乐见的艺术形式。糖画流行地域广泛,承载着深厚的历史传统和民俗风情,以丰富多彩的形式展示着民间文化观念和民众的理想意愿。本文探讨了糖画的历史、造型方法与特点,以田野调查的方法重点研究了糖画制作的工艺及工具,总结了糖画由于其特殊的制作工艺而形成的造型主观表现性、制作工艺审美性和材料工具质朴天真等特点。     

Contextual music information retrieval and recommendation: State of the art and challenges

Increasing amount of online music content has opened new opportunities for implementing new effective information access services–commonly known as music recommender systems–that support music navigation, discovery, sharing, and formation of user communities. In the recent years a new research area of contextual (or situational) music recommendation and retrieval has emerged. The basic idea is to retrieve and suggest music depending on the user’s actual situation, for instance emotional state, or any other contextual conditions that might influence the user’s perception of music. Despite the high potential of such idea, the development of real-world applications that retrieve or recommend music depending on the user’s context is still in its early stages. This survey illustrates various tools and techniques that can be used for addressing the research challenges posed by context-aware music retrieval and recommendation. This survey covers a broad range of topics, starting from classical music information retrieval (MIR) and recommender system (RS) techniques, and then focusing on context-aware music applications as well as the newer trends of affective and social computing applied to the music domain.     

基于兴趣情感算法的音乐推荐系统设计

当前在线使用的音乐平台大多数根据用户的播放历史来进行音乐推荐,这种推荐模式虽然在大多数环境下能够符合用户的需求,却无法根据用户心情的变化对推荐音乐的类别进行相应的调整.所设计的音乐推荐平台将用户的情绪状态融入到音乐推荐规则之中,在进行双向情感分析的基础上通过两种并行模式实现平台功能.通过实验证明,所设计的音乐推荐平台感...     

Dance movement: a focus on the technology

Dance notation systems, like music notes, enable documentation of symbolic representations of movement as signs on paper for individual analysis and interpretation. Today, dance notation systems operate within a digital environment in dance notation applications that facilitate the process of recording movement. The author argues that a key objective in the development of these applications should be to provide the user with an unambiguous method to record and represent movement. These applications offer varying functionality in their use of technology for the representation of movement and can be broadly defined in three different categories. Dance notation applications make up the first category - they help notate or record specific forms of movement using dance notation. Notation-based applications, the second category, include applications that use dance notation as a basis for their development. The last category, dance technology, consists of applications that use emerging technologies to record and visualize movement. While each application has a defined use, it's important to consider how effective the technologies they employ are in successfully achieving their objectives. In this article, the author focuses on dance applications in these three categories. The author considers the limitations of existing technologies in their ability to effectively describe and record movement within a specific context.