The application of digital technologies has greatly improved the efficiency of cultural heritage documentation and the diversity of heritage information.Yet the adequate incorporation of cultural,intangible,sensory or...The application of digital technologies has greatly improved the efficiency of cultural heritage documentation and the diversity of heritage information.Yet the adequate incorporation of cultural,intangible,sensory or experimental elements of local heritage in the process of digital documentation,and the deepening of local community engagement,remain important issues in cultural heritage research.This paper examines the heritage landscape of tunpu people within the context of digital conservation efforts in China and the emergence of emotions studies as an evaluative tool.Using a range of data from the Ming-era village of Baojiatun in Guizhou Province,this paper tests an exploratory emotions-based approach and methodology,revealing shifting interpersonal relationships,experiential and praxiological engagement with the landscape,and emotional registers within tunpu culture and heritage management.The analysis articulates distinctive asset of emotional value at various scales and suggests that such approaches,applied within digital documentation contexts,can help researchers to identify multi-level heritage landscape values and their carriers.This methodology can provide more complete and dynamic inventories to guide digital survey and representation;and the emotions-based approach also supports the integration of disparate heritage aspects in a holistic understanding of the living landscape.Finally,the incorporation of community participation in the process of digital survey breaks down boundaries between experts and communities and leads to more culturally appropriate heritage records and representations.展开更多
In the step processing a digitalized signal,noises are generated by internal or external causes of the system.In order to eliminate these noises,various methods are researched.Among these noise elimination methods,Fou...In the step processing a digitalized signal,noises are generated by internal or external causes of the system.In order to eliminate these noises,various methods are researched.Among these noise elimination methods,Fourier fast transform(FFT)and short-time Fourier transform(STFT)are widely used.Because they are expressed as a fixed time-frequency domain,they have the disadvantage that the time information about the signal is unknown.In order to overcome these limitations,by using the wavelet transform that provides a variety of time-frequency resolution,multi-resolution analysis can be analysed and a varying noise depending on the time characteristics can be removed more efficiently.Therefore,in this paper,a denoising method of underwater vehicle using discrete wavelet transform(DWT)is proposed.展开更多
基金the Australian Research Council Centre of Excellence for the History of Emotions(CE1101011)and the Institute for Advanced Studies,The University of Western Australia.It Wwas also supported by the 111 Project(project number:B16035)and Research Project of the Built Environment Technology Centre,C ollege of Architecture and Urban Planning,Tongji University(No.2020100302).
文摘The application of digital technologies has greatly improved the efficiency of cultural heritage documentation and the diversity of heritage information.Yet the adequate incorporation of cultural,intangible,sensory or experimental elements of local heritage in the process of digital documentation,and the deepening of local community engagement,remain important issues in cultural heritage research.This paper examines the heritage landscape of tunpu people within the context of digital conservation efforts in China and the emergence of emotions studies as an evaluative tool.Using a range of data from the Ming-era village of Baojiatun in Guizhou Province,this paper tests an exploratory emotions-based approach and methodology,revealing shifting interpersonal relationships,experiential and praxiological engagement with the landscape,and emotional registers within tunpu culture and heritage management.The analysis articulates distinctive asset of emotional value at various scales and suggests that such approaches,applied within digital documentation contexts,can help researchers to identify multi-level heritage landscape values and their carriers.This methodology can provide more complete and dynamic inventories to guide digital survey and representation;and the emotions-based approach also supports the integration of disparate heritage aspects in a holistic understanding of the living landscape.Finally,the incorporation of community participation in the process of digital survey breaks down boundaries between experts and communities and leads to more culturally appropriate heritage records and representations.
文摘In the step processing a digitalized signal,noises are generated by internal or external causes of the system.In order to eliminate these noises,various methods are researched.Among these noise elimination methods,Fourier fast transform(FFT)and short-time Fourier transform(STFT)are widely used.Because they are expressed as a fixed time-frequency domain,they have the disadvantage that the time information about the signal is unknown.In order to overcome these limitations,by using the wavelet transform that provides a variety of time-frequency resolution,multi-resolution analysis can be analysed and a varying noise depending on the time characteristics can be removed more efficiently.Therefore,in this paper,a denoising method of underwater vehicle using discrete wavelet transform(DWT)is proposed.
